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https://blog.tmcnet.com/blog/rich-tehrani/unified-communications/smart-selling-with-oracle-ai.html
2020-02-05T00:00:00
en
Smart Selling with Oracle AI – Tehrani.com – Comm & Tech Blog
Smart Selling with Oracle AI – Tehrani.com – Comm & Tech Blog Tehrani.com - Comm & Tech Blog Tehrani.com - Comm & Tech Blog Home About Me Blogs Unified Communications FOW MSP Security SD-WAN IoT AI Open Source Technology Blockchain View All Categories Archives Events Online Communities Archives Webinars WHITE PAPERS Awards Contact February 4, 2020 Smart Selling with Oracle AI It takes more than guile, charisma and good communication skills on the phone or in person to be a great salesperson.  Sales is also more than just CRM-customer relationship management and lead generation; it takes a deep understanding of where the customer is in the buying cycle.  As Oracle points out Selling Smarter with Oracle Adaptive Intelligent Apps for Sales, “Automated recommendations for next-best actions optimize the sales rep’s execution. Actions are determined based on past sales efforts, sales stages, and outcomes by looking at past sales history data. These practical next-best sales actions offer clear guidance to sales reps on what actions are most likely to close each sales opportunity.”  This approach can be of great help in determining actions salespeople can take by identifying the overall sales cycle.  Planning is key to any sale especially as the size of the customers.  Building trust is key to the effort and getting to know all the players involved in the decision.  It is a truism that you will never know all the people involved in the decision but you have to sell all of them.  Often starting with a business analyst, you need to build effective content for all the players.  Even as though they may not know all their needs, you certainly need to give them customized for their viewpoint.  Indeed, content in the form of self-service thought leadership for CEO, CFO, CIO and then bring them together in common knowledge points builds trust and confidence.  This is where AI can be of great help in building and delivering content.  That is, as pointed out in the seminal book on AI called MindMeld, “Processing of AI-enhanced knowledge in the future might lead to better attempts at sales development and closing. This is similar to tech-aided systems for the mind and ideas. Like product innovation using AI system or machine thinking might yield the sales strategist new approaches to sales and marketing.” These types of systems will, in all likelihood, allow managers using AI to model scenarios and concepts formerly unthinkable. For example, what would be the impact of coronavirus and other health concerns requirements for top-level management positions in recessionary conditions? This example again reflects a balanced approach to information—statistical and strategic. Statistics are needed to give fundamental baseline information, and strategic players can analyze and give their opinions about impacts or outcomes.  Understanding a customer’s competitive edge can also be of help in the sales process to let the potential buyer understand you know of their business conditions.  That is “looking ahead” of what you are selling to what the customer is selling could give you a competitive.  Adding in AI machine learning can potentially bring new insights into the sales process.  Summary – We would like to thank Oracle for inspiring these ideas and insights.  In future articles, I will explore more of what Oracle is doing in AI such as data-driven win probability scores help sales reps prioritize sales opportunities and improve forecast accuracy. I would also to formally thank Oracle for exhibiting at SD-WAN expo, please visit them in booth 805. Special Note: This presentation is part of a comprehensive B2B professional development program from TMCnet to maximize performance for direct sales and channel partners including onsite training, event presentations, executive seminars, webinars, articles and content thought leadership. This concept will be presented exclusively in TMCnet Selling UP Market UP Margin Technology to SMB & Enterprise Certification class at ITEXPO / MSP Expo part of the #TECHSUPERSHOW.  To explore placing this content at your internal sales or channel event… Even your office, please contact Rich Tehrani or Tom Cross.  Get certified smart today.  Facebook Twitter LinkedIn More Rich Tehrani Unified Communicationsai,future of work,ml,techtionary PreviousFuture of Work Expo Conference Chair Jon Arnold on Changing Careers, Job Training, AI and ML Related Articles Unified CommunicationsITEXPO #TECHSUPERSHOW 2020: Show DetailsUnified CommunicationsITEXPO Exhibitor Ingate Launches New, Powerful SBCs, Offers Access to SBC ExpertUnified CommunicationsITEXPO 2020: Last Chance to Save. Calling All Business Tech Buyers FOLLOW ME Subscribe to Blog via Email Email* FEATURED EVENTS Archives Archives Select Month February 2020  (3) January 2020  (58) December 2019  (54) November 2019  (60) October 2019  (61) September 2019  (72) August 2019  (39) July 2019  (55) June 2019  (117) May 2019  (49) April 2019  (25) March 2019  (39) February 2019  (6) January 2019  (13) December 2018  (4) November 2018  (7) October 2018  (8) September 2018  (7) July 2018  (2) June 2018  (5) May 2018  (10) April 2018  (17) March 2018  (17) February 2018  (4) January 2018  (6) December 2017  (9) November 2017  (15) October 2017  (29) September 2017  (22) August 2017  (12) July 2017  (7) June 2017  (13) May 2017  (7) April 2017  (20) March 2017  (8) February 2017  (17) January 2017  (22) December 2016  (12) November 2016  (4) October 2016  (10) September 2016  (10) August 2016  (7) July 2016  (11) June 2016  (18) May 2016  (11) April 2016  (26) March 2016  (25) February 2016  (10) January 2016  (10) December 2015  (7) November 2015  (9) October 2015  (8) September 2015  (9) August 2015  (15) July 2015  (6) June 2015  (7) May 2015  (24) April 2015  (8) March 2015  (10) February 2015  (3) January 2015  (7) December 2014  (10) November 2014  (6) October 2014  (18) September 2014  (16) August 2014  (10) July 2014  (14) June 2014  (16) May 2014  (17) April 2014  (18) March 2014  (15) February 2014  (25) January 2014  (12) December 2013  (3) November 2013  (9) October 2013  (12) September 2013  (25) August 2013  (24) July 2013  (14) June 2013  (18) May 2013  (13) April 2013  (19) March 2013  (15) February 2013  (44) January 2013  (66) December 2012  (21) November 2012  (16) October 2012  (27) September 2012  (29) August 2012  (17) July 2012  (16) June 2012  (19) May 2012  (42) April 2012  (21) March 2012  (33) February 2012  (35) January 2012  (67) December 2011  (47) November 2011  (32) October 2011  (37) September 2011  (49) August 2011  (47) July 2011  (48) June 2011  (53) May 2011  (37) April 2011  (39) March 2011  (54) February 2011  (56) January 2011  (103) December 2010  (45) November 2010  (51) October 2010  (79) September 2010  (85) August 2010  (58) July 2010  (50) June 2010  (44) May 2010  (49) April 2010  (48) March 2010  (38) February 2010  (58) January 2010  (88) December 2009  (52) November 2009  (39) October 2009  (56) September 2009  (60) August 2009  (94) July 2009  (55) June 2009  (38) May 2009  (32) April 2009  (81) March 2009  (83) February 2009  (110) January 2009  (118) December 2008  (91) November 2008  (79) October 2008  (68) September 2008  (111) August 2008  (76) July 2008  (94) June 2008  (105) May 2008  (77) April 2008  (114) March 2008  (146) February 2008  (185) January 2008  (172) December 2007  (72) November 2007  (100) October 2007  (101) September 2007  (89) August 2007  (108) July 2007  (90) June 2007  (88) May 2007  (89) April 2007  (124) March 2007  (66) February 2007  (49) January 2007  (94) December 2006  (73) November 2006  (67) October 2006  (164) September 2006  (109) August 2006  (88) July 2006  (36) June 2006  (82) May 2006  (87) April 2006  (90) March 2006  (77) February 2006  (87) January 2006  (98) December 2005  (108) November 2005  (83) October 2005  (123) September 2005  (110) August 2005  (120) July 2005  (77) June 2005  (94) May 2005  (73) April 2005  (123) March 2005  (69) Most Viewed Posts 1 Longview IoT Boosts Energy and Wireless Efficiency 2 Tata Communications and Cisco Collaborate on SD-WAN 3 Hallmark’s Simple, Inexpensive Way to Boost Customer Satisfaction 4 Wireless 2.0 4 eBay Founder Launches Paid News Service 4 IGEL Advances Future of Work Hot Tagsai apple at&t avaya blackberry broadband call-center cisco Cloud Cloud computing collaboration crm cybersecurity digital transformation dx fcc FOW future of work google hacker ims internet telephony iot ip communications it itexpo microsoft ml msp net neutrality Networking ransomware SD-WAN security sip skype uc ucaas unified communications verizon video voip vonage wireless yahoo Rich Tehrani is a futurist and visionary in technology including cybersecurity, communications, blockchain and IoT. A well-respected voice in the technology space, Tehrani has been interviewed and quoted by The Economist, Boston Globe, Newsweek, WABC Radio, WMAL, New York Times, BusinessWeek, USA Today, The LA Times and CGTN. Click Here to Read Full Bio Recent Posts Smart Selling with Oracle AI February 4, 2020 Future of Work Expo Conference Chair Jon Arnold on Changing Careers, Job Training, AI and ML February 4, 2020 ITEXPO #TECHSUPERSHOW 2020: Show Details February 3, 2020 Popular Posts Longview IoT Boosts Energy and Wireless Efficiency May 21, 2019 Tata Communications and Cisco Collaborate on SD-WAN May 16, 2019 Hallmark’s Simple, Inexpensive Way to Boost Customer Satisfaction May 17, 2019 © Copyrights 2019. All Rights Reserved - Tehrani.com   Email* Share via Facebook Twitter LinkedIn Mix Email Print Copy Link Powered by Social Snap Copy link CopyCopied Powered by Social Snap
Smart Selling with Oracle AI
Smart Selling Oracle AI Comm Tech Blog Comm Tech Blog Comm Tech Blog Home About Me Blogs Unified Communications FOW MSP Security SDWAN IoT AI Open Source Technology Blockchain View All Categories Archives Events Online Communities Archives Webinars WHITE PAPERS Awards February 4, 2020 Smart Selling Oracle AI It takes guile, charisma good communication skills phone person great salesperson. Sales CRMcustomer relationship management lead generation; takes deep understanding customer buying cycle. As Oracle points Selling Smarter Oracle Adaptive Intelligent Apps Sales, Automated recommendations nextbest actions optimize sales reps execution. Actions determined based past sales efforts, sales stages, outcomes looking past sales history data. These practical nextbest sales actions offer clear guidance sales reps actions likely close sales opportunity. This approach great help determining actions salespeople identifying overall sales cycle. Planning key sale especially size customers. Building trust key effort getting know players involved decision. It truism know people involved decision sell them. Often starting business analyst, need build effective content players. Even know needs, certainly need customized viewpoint. Indeed, content form selfservice thought leadership CEO, CFO, CIO bring common knowledge points builds trust confidence. This AI great help building delivering content. That is, pointed seminal book AI called MindMeld, Processing AIenhanced knowledge future lead better attempts sales development closing. This similar techaided systems mind ideas. Like product innovation AI machine thinking yield sales strategist new approaches sales marketing. These types systems will, likelihood, allow managers AI model scenarios concepts unthinkable. For example, impact coronavirus health concerns requirements toplevel management positions recessionary conditions? This example reflects balanced approach informationstatistical strategic. Statistics needed fundamental baseline information, strategic players analyze opinions impacts outcomes. Understanding customers competitive edge help sales process let potential buyer understand know business conditions. That looking ahead selling customer selling competitive. Adding AI machine learning potentially bring new insights sales process. Summary We like thank Oracle inspiring ideas insights. In future articles, I explore Oracle AI datadriven win probability scores help sales reps prioritize sales opportunities improve forecast accuracy. I formally thank Oracle exhibiting SDWAN expo, visit booth 805. Special Note: This presentation comprehensive B2B professional development program TMCnet maximize performance direct sales channel partners including onsite training, event presentations, executive seminars, webinars, articles content thought leadership. This concept bepresented exclusivelyin TMCnetSelling UP Market UP Margin Technology toSMB Enterprise CertificationclassatITEXPOMSP Expopart TECHSUPERSHOW. To explore placing content internal sales channel event Even office, contact Rich Tehrani Tom Cross. Get certified smart today. Facebook Twitter LinkedIn More Rich Tehrani Unified Communicationsai,future work,ml,techtionary PreviousFuture Work Expo Conference Chair Jon Arnold Changing Careers, Job Training, AI ML Related Articles Unified CommunicationsITEXPO TECHSUPERSHOW 2020: Show DetailsUnified CommunicationsITEXPO Exhibitor Ingate Launches New, Powerful SBCs, Offers Access SBC ExpertUnified CommunicationsITEXPO 2020: Last Chance Save. Calling All Business Tech Buyers FOLLOW ME Blog Email Email FEATURED EVENTS Archives Archives Select Month February 2020 3 January 2020 58 December 2019 54 November 2019 60 October 2019 61 September 2019 72 August 2019 39 July 2019 55 June 2019 117 May 2019 49 April 2019 25 March 2019 39 February 2019 6 January 2019 13 December 2018 4 November 2018 7 October 2018 8 September 2018 7 July 2018 2 June 2018 5 May 2018 10 April 2018 17 March 2018 17 February 2018 4 January 2018 6 December 2017 9 November 2017 15 October 2017 29 September 2017 22 August 2017 12 July 2017 7 June 2017 13 May 2017 7 April 2017 20 March 2017 8 February 2017 17 January 2017 22 December 2016 12 November 2016 4 October 2016 10 September 2016 10 August 2016 7 July 2016 11 June 2016 18 May 2016 11 April 2016 26 March 2016 25 February 2016 10 January 2016 10 December 2015 7 November 2015 9 October 2015 8 September 2015 9 August 2015 15 July 2015 6 June 2015 7 May 2015 24 April 2015 8 March 2015 10 February 2015 3 January 2015 7 December 2014 10 November 2014 6 October 2014 18 September 2014 16 August 2014 10 July 2014 14 June 2014 16 May 2014 17 April 2014 18 March 2014 15 February 2014 25 January 2014 12 December 2013 3 November 2013 9 October 2013 12 September 2013 25 August 2013 24 July 2013 14 June 2013 18 May 2013 13 April 2013 19 March 2013 15 February 2013 44 January 2013 66 December 2012 21 November 2012 16 October 2012 27 September 2012 29 August 2012 17 July 2012 16 June 2012 19 May 2012 42 April 2012 21 March 2012 33 February 2012 35 January 2012 67 December 2011 47 November 2011 32 October 2011 37 September 2011 49 August 2011 47 July 2011 48 June 2011 53 May 2011 37 April 2011 39 March 2011 54 February 2011 56 January 2011 103 December 2010 45 November 2010 51 October 2010 79 September 2010 85 August 2010 58 July 2010 50 June 2010 44 May 2010 49 April 2010 48 March 2010 38 February 2010 58 January 2010 88 December 2009 52 November 2009 39 October 2009 56 September 2009 60 August 2009 94 July 2009 55 June 2009 38 May 2009 32 April 2009 81 March 2009 83 February 2009 110 January 2009 118 December 2008 91 November 2008 79 October 2008 68 September 2008 111 August 2008 76 July 2008 94 June 2008 105 May 2008 77 April 2008 114 March 2008 146 February 2008 185 January 2008 172 December 2007 72 November 2007 100 October 2007 101 September 2007 89 August 2007 108 July 2007 90 June 2007 88 May 2007 89 April 2007 124 March 2007 66 February 2007 49 January 2007 94 December 2006 73 November 2006 67 October 2006 164 September 2006 109 August 2006 88 July 2006 36 June 2006 82 May 2006 87 April 2006 90 March 2006 77 February 2006 87 January 2006 98 December 2005 108 November 2005 83 October 2005 123 September 2005 110 August 2005 120 July 2005 77 June 2005 94 May 2005 73 April 2005 123 March 2005 69 Most Viewed Posts 1 Longview IoT Boosts Energy Wireless Efficiency 2 Tata Communications Cisco Collaborate SDWAN 3 Hallmarks Simple, Inexpensive Way Boost Customer Satisfaction 4 Wireless 2.0 4 eBay Founder Launches Paid News Service 4 IGEL Advances Future Work Hot Tagsai apple att avaya blackberry broadband callcenter cisco Cloud Cloud computing collaboration crm cybersecurity digital transformation dx fcc FOW future work google hacker ims internet telephony iot ip communications itexpo microsoft ml msp net neutrality Networking ransomware SDWAN security sip skype uc ucaas unified communications verizon video voip vonage wireless yahoo Rich Tehrani futurist visionary technology including cybersecurity, communications, blockchain IoT. A wellrespected voice technology space, Tehrani interviewed quoted The Economist, Boston Globe, Newsweek, WABC Radio, WMAL, New York Times, BusinessWeek, USA Today, The LA Times CGTN. Click Here Read Full Bio Recent Posts Smart Selling Oracle AI February 4, 2020 Future Work Expo Conference Chair Jon Arnold Changing Careers, Job Training, AI ML February 4, 2020 ITEXPO TECHSUPERSHOW 2020: Show Details February 3, 2020 Popular Posts Longview IoT Boosts Energy Wireless Efficiency May 21, 2019 Tata Communications Cisco Collaborate SDWAN May 16, 2019 Hallmarks Simple, Inexpensive Way Boost Customer Satisfaction May 17, 2019 2019. Email Share Facebook Twitter LinkedIn Mix Email Print Copy Link Powered Social Snap Copy link CopyCopied Powered Social Snap
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https://www.aninews.in/news/national/general-news/change-air-indias-structure-but-dont-sell-it-ai-hai-to-hindustan-hai-dinesh-trivedi20200915134537/
2020-09-15T00:00:00
en
Change Air India's structure, but don't sell it; AI hai to 'Hindustan' hai: Dinesh Trivedi
Change Air India's structure, but don't sell it; AI hai to 'Hindustan' hai: Dinesh Trivedi Tue, Sep 15, 2020 |Updated 14:10 IST Toggle navigation Toggle navigation National General News Politics Features World Asia US Europe Pacific Others Middle East Business Corporate Sports Cricket Football Others Tennis Hockey Lifestyle Relationships Sexuality Beauty Parenting Fashion Food Travel Quirky Fitness Culture Entertainment Bollywood Hollywood Music Out of box Health Science Tech Mobile Internet Computers Others Environment Videos National World Entertainment Sports Business Health Technology Travel Toggle navigation TMC MP Dinesh Trivedi speaking in the Rajya Sabha on Tuesday. [Photo/ANI] Change Air India's structure, but don't sell it; AI hai to 'Hindustan' hai: Dinesh Trivedi ANI | Updated: Sep 15, 2020 13:47 IST New Delhi [India], September 15 (ANI): It was only due to Air India that the Centre was able to repatriate Indians during the COVID-19 pandemic, and though it needs an overhaul it should not be privatised, said Trinamool Congress (TMC) MP Dinesh Trivedi on Tuesday."I must compliment the government for bringing back a lot of Indians from abroad under Vande Bharat Mission. And who did it? It was Air India. You can change the structure of Air India if you want but please do not sell it. Air India hai to 'Hindustan' hai," Trivedi said in the Rajya Sabha."I have nothing against the private sector, but if Air India would not have been there then the private airlines wouldn't have been there," he added. The TMC MP further said that for the civil aviation to develop the Aircraft Act, 1934 should be completely changed and repeated amendments would do bring little benefits."Aircraft Act, 1934 should be completely changed so that India can develop," Trivedi said.BJP MP GVL Narasimha Rao, introducing the amendments to the Act had earlier said that India was the fastest-growing civil aviation sector in the world.Earlier in August, the Central government had extended the deadline for expression of interest for proposed strategic disinvestment of Air India for two months till October 30, in view of the prevailing situation due to the ongoing coronavirus pandemic.The earlier last date for expression of interest, as per the seventh corrigendum issued on June 25, 2020, was till 5 pm on August 31. The government has initiated the process of divesting its share from Air India and is looking for suitable bidders. (ANI) Tags Dinesh Trivedi Rajya Sabha TMC MP Trinamool Congress Air India privatization Centre Loading... Related News Muzaffarpur shelter home case: Delhi HC adjourns to Oct 1 Brijesh Thakur's appeal against conviction, sentence Updated: Sep 15, 2020 14:08 IST SC grants interim relief to ex-DGP Sumedh Singh Saini in 1991 Multani case, seeks Punjab govt's response Updated: Sep 15, 2020 14:02 IST Let Chennai airport be developed to international standards: DMK MP Updated: Sep 15, 2020 13:56 IST Airlines financially stressed due to COVID-19, need support from govt: Praful Patel Updated: Sep 15, 2020 13:49 IST Bengaluru drug case: CCB searches house of former Minister Jeevaraj Alva's son Updated: Sep 15, 2020 13:48 IST Rajya Sabha adjourned till 9 am tomorrow Updated: Sep 15, 2020 13:47 IST PM Modi lays foundation stone of several projects in Bihar Loading... Home About Us Our Products Advertise Contact Us Privacy Policy Terms & Condition copyrights © aninews.in | All rights Reserved
Change Air India's structure, but don't sell it; AI hai to 'Hindustan' hai: Dinesh Trivedi
Change Air Indias structure, dont sell it; AI hai Hindustan hai: Dinesh Trivedi Tue, Sep 15, 2020 Updated 14:10 IST Toggle navigation Toggle navigation National General News Politics Features World Asia US Europe Pacific Others Middle East Business Corporate Sports Cricket Football Others Tennis Hockey Lifestyle Relationships Sexuality Beauty Parenting Fashion Food Travel Quirky Fitness Culture Entertainment Bollywood Hollywood Music Out box Health Science Tech Mobile Internet Computers Others Environment Videos National World Entertainment Sports Business Health Technology Travel Toggle navigation TMC MP Dinesh Trivedi speaking Rajya Sabha Tuesday. [PhotoANI] Change Air Indias structure, dont sell it; AI hai Hindustan hai: Dinesh Trivedi ANI Updated: Sep 15, 2020 13:47 IST New Delhi [India], September 15 ANI: It Air India Centre able repatriate Indians COVID19 pandemic, needs overhaul privatised, said Trinamool Congress TMC MP Dinesh Trivedi Tuesday.I compliment government bringing lot Indians abroad Vande Bharat Mission. And it? It Air India. You change structure Air India want sell it. Air India hai Hindustan hai, Trivedi said Rajya Sabha.I private sector, Air India private airlines wouldnt there, added. The TMC MP said civil aviation develop Aircraft Act, 1934 completely changed repeated amendments bring little benefits.Aircraft Act, 1934 completely changed India develop, Trivedi said.BJP MP GVL Narasimha Rao, introducing amendments Act earlier said India fastestgrowing civil aviation sector world.Earlier August, Central government extended deadline expression proposed strategic disinvestment Air India months till October 30, view prevailing situation ongoing coronavirus pandemic.The earlier date expression interest, seventh corrigendum issued June 25, 2020, till 5 pm August 31. The government initiated process divesting share Air India looking suitable bidders. ANI Tags Dinesh Trivedi Rajya Sabha TMC MP Trinamool Congress Air India privatization Centre Loading... Related News Muzaffarpur shelter home case: Delhi HC adjourns Oct 1 Brijesh Thakurs appeal conviction, sentence Updated: Sep 15, 2020 14:08 IST SC grants interim relief exDGP Sumedh Singh Saini 1991 Multani case, seeks Punjab govts response Updated: Sep 15, 2020 14:02 IST Let Chennai airport developed international standards: DMK MP Updated: Sep 15, 2020 13:56 IST Airlines financially stressed COVID19, need support govt: Praful Patel Updated: Sep 15, 2020 13:49 IST Bengaluru drug case: CCB searches house Minister Jeevaraj Alvas son Updated: Sep 15, 2020 13:48 IST Rajya Sabha adjourned till 9 tomorrow Updated: Sep 15, 2020 13:47 IST PM Modi lays foundation stone projects Bihar Loading... Home Our Products Advertise Us Terms Condition copyrights aninews.in All rights Reserved
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https://www.nbc.com/the-tonight-show/video/deepak-choprauses-ai-digital-deepak-toguide-jimmy-through-meditation/4106971
2020-01-30T00:00:00
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Watch The Tonight Show Starring Jimmy Fallon Interview: Deepak Chopra Uses AI Digital Deepak to Guide Jimmy Through Meditation - NBC.com
Watch The Tonight Show Starring Jimmy Fallon Interview: Deepak Chopra Uses AI Digital Deepak to Guide Jimmy Through Meditation - NBC.com NBC.comNBC.comHomeShowsNetworksNews & SportsAppShopJump to:AccessibilityTickets and NBC Studio TourThe Tonight Show Starring Jimmy FallonWEEKNIGHTS 11:35/10:35cmainticketsguestsepisodescollectionsphotosinternshipscreditsshopDeepak Chopra Uses AI Digital Deepak to Guide Jimmy Through MeditationCLIP01/28/20DetailsAlso available on the NBC appDeepak Chopra trips Jimmy out when talking about his 90th book, Metahuman, and showcasing his AI twin, Digital Deepak, who guides The Roots and the Tonight Show audience through meditation.Appearing:Jimmy FallonTags: The Tonight Show, Jimmy Fallon, Deepak Chopra, Uses, ai, digital, Deepak, Guide, Jimmy, through, MeditationS7 E746 minInterviewTalk and InterviewLate Night2019-2020Most RecentMost RecentBehind the ScenesCurrent PreviewHighlightInterviewWeb ExclusiveClips (100)Michael Bloomberg on His Game Plan for Trump Political Ads and the Super BowlCLIP 01/28/20Trump Reveals Middle East Peace PlanCLIP 01/28/20Michael Bloomberg Reveals How President Trump Reacted to His Advice in 2016CLIP 01/28/20Rapsody ft. PJ Morton: AfeniCLIP 01/28/20Deepak Chopra Uses AI Digital Deepak to Guide Jimmy Through MeditationCLIP 01/28/20Michael Bloomberg on Climate Change, Gun Control, Public HealthCLIP 01/28/20Donald Trump Cold-Calls Michael BloombergCLIP 01/28/20Michael Strahan Remembers Kobe Bryant: "He Is a Legend for a Reason"CLIP 01/27/20Michael Strahan Really Choked Eli Manning After Their Super Bowl WinCLIP 01/27/20Jimmy Fallon Remembers Kobe BryantCLIP 01/27/20Nick Thune Stand-UpCLIP 01/27/20Nick Thune Has a Problem with Birds Catching Worms EarlyCLIP 01/27/20Michael Strahan's Super Bowl LIV Pre-Game AnalysisCLIP 01/27/20John Bolton's Book Leaks Impeachment Evidence Against TrumpCLIP 01/27/20Matt Bomer Addresses Tom Brady Biopic RumorsCLIP 01/27/20Milo Ventimiglia Became Evel Knievel Minus the StuntsCLIP 01/24/20Thank You Notes: Impeachment Trial, Baby Jabba the HuttCLIP 01/24/20How I Built This' Guy Raz Explains Why Mormons Make Great EntrepreneursCLIP 01/24/20David Dobrik and Jimmy Surprising People with $100 Bills and iPadsCLIP 01/24/20Jimmy Pitches Guy Raz Smelly Yoga Mat and DJ App IdeasCLIP 01/24/20Milo Ventimiglia Calls Out His This Is Us Co-Stars for Worrying About His DirectingCLIP 01/24/20Carmen Lynch Stand-UpCLIP 01/24/20News Smash: Impeachment Trial, NFL Pro Bowl, Mr. Peanut Dies, GrammysCLIP 01/24/20Hashtags: #ThereShouldBeALawCLIP 01/23/20Jimmy Recaps Day 3 of Trump's Senate Impeachment TrialCLIP 01/23/20Wendy Williams Reveals What It Takes to Wife Her Up Again CLIP 01/23/20Griselda: Dr. Bird'sCLIP 01/23/20Noah Centineo Clears Up To All the Boys: P.S. I Still Love You Love Triangle RumorsCLIP 01/23/20Water War with Noah CentineoCLIP 01/23/20Wendy Williams Reacts to Giving Dua Lipa a Nickname and Spills the Tea on Her DivorceCLIP 01/23/20Google Translate Songs with HalseyCLIP 01/22/20One-Second Below Deck Quiz with Leslie JonesCLIP 01/22/20President Trump Impeachment Trial Day One Lasts 13 HoursCLIP 01/22/20Leslie Jones Debates Below Deck and Calls Out "Misogynistic Biscuit" AshtonCLIP 01/22/20Jimmy Surprises Halsey by Replacing Her Lost Childhood Jelly ShoesCLIP 01/22/20Picture This: Blake Shelton, Rob GronkowskiCLIP 01/22/20Halsey Talks Kissing Evan Peters and Recites "Graveyard" Lyrics in a New Jersey AccentCLIP 01/22/20Bon Appétit's Claire Saffitz Challenges Jimmy to a Layer Cake-Decorating ContestCLIP 01/22/20Leslie Jones Teamed Up with Game of Thrones to Film Time Machine Stand-Up SpecialCLIP 01/22/20David Dobrik Takes Over The Tonight ShowCLIP 01/21/20David Dobrik Reenacts the Moment Justin Bieber Tickled Him at the ClubCLIP 01/21/20Yola: I Don't Wanna LieCLIP 01/21/20President Trump's Impeachment Trial BeginsCLIP 01/21/20Do Not Read: How to Hide AnythingCLIP 01/21/20Martin Short Gives His Hot Take on Oscar Nominations and SnubsCLIP 01/21/20Charades with Martin Short and David DobrikCLIP 01/21/20David Dobrik on Marrying His Friend's 70-Something MomCLIP 01/21/20Kansas City Chiefs and San Francisco 49ers to Play Super Bowl 54CLIP 01/20/20Ken Jeong Debuts a New Ken for 2020CLIP 01/20/20Ken Jeong Shares Secrets Behind Hiding The Masked Singer ContestantsCLIP 01/20/20Old Dominion: One Man BandCLIP 01/20/20Kate Upton Demonstrates a Jiu-Jitsu Rear Naked Choke on JimmyCLIP 01/20/20#Blessed #Inspired: Follow Your Dreams!CLIP 01/20/20Heavy or Light with Ken Jeong and Kate UptonCLIP 01/20/20Trump Unveils His Impeachment Trial Defense TeamCLIP 01/17/20Ashley McBryde: One Night StandardsCLIP 01/17/20Thank You Notes: Betty White, Streaming ServicesCLIP 01/17/20Vanessa Hudgens Reveals the Nickname Snoop Dogg Gave HerCLIP 01/17/20Matthew McConaughey and Hugh Grant Swap Iconic Movie LinesCLIP 01/17/20Jimmy Has Robert Downey Jr. and the Doolittle Cast Secretly Slip Funny Words into InterviewsCLIP 01/17/20True Confessions with Matthew McConaughey and Hugh GrantCLIP 01/17/20House Hand-Delivers Trump Impeachment Articles to SenateCLIP 01/16/20Hashtags: #DumbestFamilyFightCLIP 01/16/20One Second Songs with Finn WolfhardCLIP 01/16/20Finn Wolfhard Talks Stranger Things 4 Hair Spoilers and Ghostbusters: AfterlifeCLIP 01/16/20The Schitt's Creek Cast on Slow-Burn Success, Red Carpet Stanning and Moira's WigsCLIP 01/16/20Magician Justin Willman Teaches Jimmy a Trick to Make Soda Disappear with His MindCLIP 01/16/20Know Your Schitt's Creek with the Schitt's Creek CastCLIP 01/16/20This Week in Memes: When There's Only One Other Person at the Nude BeachCLIP 01/15/20News Smash: Impeachment Progress, Red Sox Scandal, Ken Jennings Jeopardy GOAT, Weed TownCLIP 01/15/20Aidy Bryant Explains the Wardrobe Mishap That Made Her Break Character on SNLCLIP 01/15/20Robert Downey Jr. and Jimmy Embarrass Themselves with Unaired SNL Sketch StoriesCLIP 01/15/20Little Big Town: Sugar CoatCLIP 01/15/20Robert Downey Jr. Talks Dolittle and Duets with JimmyCLIP 01/15/20Cue Card Cold Read w/ Robert Downey Jr.CLIP 01/15/20Catchphrase with Tyler Perry and Yara ShahidiCLIP 01/14/20Tyler Perry Tries to Keep Jimmy from Spoiling His Movie A Fall from GraceCLIP 01/14/20Jimmy Recaps First Democratic Presidential Primary Debate of 2020CLIP 01/14/20Yara Shahidi's Mom Traumatized Her with a Scary PrankCLIP 01/14/20Tonight Show Polls: What Was Your New Year's Resolution?CLIP 01/14/20Black Pumas: ColorsCLIP 01/14/20Jimmy Interviews the Guy Who Wouldn't Stop Wooing at Seahawks-Packers GameCLIP 01/13/20Talk Like Trump: Sustainment Brigade OfficerCLIP 01/13/20Can You Feel It? with Selena GomezCLIP 01/13/20Charlie Hunnam Sprinted Naked Through a Forest to Escape a Wasp AttackCLIP 01/13/20Selena Gomez Reacts to Wizards of Waverly Place Theme Inspiring Billie Eilish's "Bad Guy"CLIP 01/13/20Bernie Sanders and Donald Trump Get into It on TwitterCLIP 01/13/20Charlie Hunnam Got a Master Class in Acting from Hugh Grant in The GentlemenCLIP 01/13/20Stormzy: Crown (US TV Debut)CLIP 01/13/20Matthew Lopez and Kyle Soller's The Inheritance Play Is Like Netflix SeriesCLIP 01/10/20Martin Lawrence and Will Smith Binge-Watched Bad Boys 1 and 2 TogetherCLIP 01/10/20Do Not Play: "Hunk Alert," "Hands Up Boogie"CLIP 01/10/20Karol G: TusaCLIP 01/10/20Jeopardy: Tournament of Champions Gets Fifty Shades of Grey on TwitterCLIP 01/10/20Martin Lawrence Reacts to Kendrick Lamar Walking Out of an Interview for HimCLIP 01/10/20Thank You Notes: Prince Harry, Timothée ChalametCLIP 01/10/20Patti Smith: After the Gold RushCLIP 01/09/20Will Smith Learned He's No Tom Cruise While Filming Bad Boys for LifeCLIP 01/09/20Hashtags: #RuinAMovieWithOneWordCLIP 01/09/20Prince Harry and Meghan Markle Step Back from Royal FamilyCLIP 01/09/20Season 7Season 7Season 6Episodes (74)NEWS7 E74 | 01/28/20January 28 - Michael Bloomberg, Deepak Chopra, Rapsody ft. PJ MortonNEWS7 E73 | 01/27/20January 27 - Michael Strahan, Matt Bomer, Nick ThuneNEWS7 E72 | 01/24/20January 24 - Milo Ventimiglia, Guy Raz, Carmen Lynch NEWS7 E71 | 01/23/20January 23 - Noah Centineo, Wendy Williams, GriseldaNEWS7 E70 | 01/22/20January 22 - Halsey, Leslie Jones, Claire SaffitzS7 E69 | 01/21/20January 21 - Martin Short, David Dobrik, YolaS7 E68 | 01/20/20January 20 - Ken Jeong, Kate Upton, Old DominionS7 E67 | 01/17/20January 17 - Matthew McConaughey & Hugh Grant, Vanessa Hudgens, Ashley McBrydeS7 E66 | 01/16/20January 16 - The Cast of Schitt's Creek, Finn Wolfhard, Justin WillmanS7 E65 | 01/15/20January 15 - Robert Downey Jr., Aidy Bryant, Little Big TownS7 E64 | 01/14/20January 14 - Tyler Perry, Yara Shahidi, Black PumasS7 E63 | 01/13/20Selena Gomez, Charlie Hunnam, StormzyS7 E62 | 01/10/20Martin Lawrence, Matthew Lopez & Kyle Soller, Karol GS7 E61 | 01/09/20Will Smith, Patti SmithS7 E60 | 01/08/20Quentin Tarantino, Jodie Whittaker, Nathaniel RateliffS7 E59 | 01/07/20Salma Hayek, George MacKay, Ask This Old HouseS7 E58 | 01/06/20Shaquille O'Neal, Jacqueline Novak, Lil BabyS7 E57 | 12/20/19Eddie Murphy, Greta Gerwig, Orlando LeybaS7 E56 | 12/19/19Kate McKinnon, Noah Baumbach, Dua LipaS7 E55 | 12/18/19Helen Hunt & Paul Reiser, Dua Lipa, James BlakeS7 E54 | 12/17/19John Lithgow, Liam PayneS7 E53 | 12/16/19Michael B. Jordan, Sam Heughan, Lea Michele ft. Jonathan GroffS7 E52 | 12/12/19December 12 - Ryan Reynolds, Niall Horan, Camila Cabello ft. DaBabyS7 E51 | 12/11/19Jon Hamm, Keri Russell, Gary Clark Jr.S7 E50 | 12/10/19Hasan Minhaj, Charlie PuthS7 E49 | 12/09/19Timothée Chalamet, Ashley Graham, Bong Joon Ho, Summer WalkerS7 E48 | 12/05/19Jennifer Lopez, Camila CabelloS7 E47 | 12/04/19Senator Elizabeth Warren, Alanis MorissetteS7 E46 | 12/03/19Felicity Jones, Tomi Adeyemi, Burna Boy, Kevin DelaneyS7 E45 | 12/02/19John Mulaney, Karlie Kloss, SolangeS7 E44 | 12/02/19Tiffany Haddish, Lakeith Stanfield, The Free Nationals ft. Anderson .PaakS7 E43 | 11/28/19Tracy Morgan, Brian Regan, Jason AldeanS7 E42 | 11/27/19John Boyega, Abigail Spencer, JP Saxe ft. Julia MichaelsS7 E41 | 11/26/19November 26 - Senator Bernie Sanders, Katherine Langford, Gary VaynerchukS7 E40 | 11/25/19November 25 - Daisy Ridley, Tom Hiddleston, Michael Eric Dyson, Noah Cyrus ft. Leon BridgesS7 E39 | 11/22/19November 22 - John Legend, M. Night ShyamalanS7 E38 | 11/21/19Will Ferrell, Alan Cumming, Jessica KirsonS7 E37 | 11/20/19November 20 - Dolly Parton, Kacey MusgravesS7 E36 | 11/19/19November 19 - Chadwick Boseman, Evan Rachel Wood, David Byrne, David Byrne’s American UtopiaS7 E35 | 11/18/19Seth Meyers, Cobie Smulders, Tones & IS7 E34 | 11/15/19Céline Dion, Tig Notaro, Colin O’Brady, Shin LimS7 E33 | 11/14/19Alex Rodriguez, Lili Reinhart, Ian LaraS7 E32 | 11/13/19Rachel Maddow, Tony Hale, Dominic FikeS7 E31 | 11/12/19November 12 - Kristen Bell, Judd Apatow, Danny BrownS7 E30 | 11/11/19Michael Shannon, Jenna Bush Hager & Barbara Pierce Bush, Pete YornS7 E29 | 11/07/19Matthew McConaughey, Chip & Joanna Gaines, Gucci ManeS7 E28 | 11/06/19Henry Golding, Noomi Rapace, Dan WhiteS7 E27 | 11/05/19November 5 - Adam Sandler, Jenny Slate, Megan GaileyS7 E26 | 11/04/19November 4 - Chris Evans, Naomi Scott, EarthGangS7 E25 | 10/31/19Kristen Stewart, Gaten Matarazzo, Pete LeeS7 E24 | 10/30/19Emilia Clarke, Bobby Cannavale, Booker T. Jones, FKA twigsS7 E23 | 10/29/19Reese Witherspoon, Rhett & Link, Daniel HummS7 E22 | 10/28/19Emma Thompson, Joel Kinnaman, Liam GallagherS7 E21 | 10/27/19John Cena, Luke BryanS7 E20 | 10/24/19Keegan-Michael Key, Chance the Rapper, BROCKHAMPTONS7 E19 | 10/23/19Michael Douglas, Kathryn Hahn, Jenny LewisS7 E18 | 10/22/19Jessica Biel, Billy Crudup, Jay JurdenS7 E17 | 10/21/19Scarlett Johansson, Mayor Pete Buttigieg, Jim James, Teddy Abrams & Louisville OrchestraS7 E16 | 10/20/19Alec Baldwin, Kate Beckinsale, Young Thug ft. GunnaS7 E15 | 10/10/19Priyanka Chopra Jonas, Questlove & Tariq "Black Thought" Trotter, Rex Orange CountyS7 E14 | 10/09/19Jesse Eisenberg, Hailee Steinfeld, Steve MillerS7 E13 | 10/08/19Clive Owen, Elsie Fisher, Lewis CapaldiS7 E12 | 10/07/19Lupita Nyong'o, Dane Cook, Jay "Sinatraa" Won & Matthew "Super" DeLisi, The Avett BrothersS7 E11 | 10/06/19October 6 - Edward Norton, Alessia CaraS7 E10 | 10/04/19Joaquin Phoenix, Zoey DeutchS7 E9 | 10/03/19Taylor Swift, Chris O’Dowd, Angel OlsenS7 E8 | 10/02/19Natalie Portman, Henry Winkler, Robbie RobertsonS7 E7 | 10/01/19Lin-Manuel Miranda, Chris Colfer, The Cast of Freestyle Love SupremeS7 E6 | 09/30/19James Spader, Ruby Rose, Elvis Duran, DaBabyS7 E5 | 09/27/19September 27 - Billie Eilish, Sebastian ManiscalcoS7 E4 | 09/26/19Michael Che and Colin Jost, Dove Cameron, Robert Irwin, Carole KingS7 E3 | 09/25/19Robert De Niro, Jameela Jamil, BastilleS7 E2 | 09/24/19Demi Moore, Justin Hartley, Mark Ronson ft. YebbaS7 E1 | 09/23/19Gwen Stefani, Ben Platt, Zac Brown BandNBC.comShare the Moment™NBC Quick LinksLink TV ProviderFAQCastingContact UsParental Guidelines and TV RatingsTickets and NBC Studio TourLocal ScheduleAccessibilityCorporate InfoJobsPrivacyTerms - UpdatedAdvertiseViewer PanelClosed CaptioningTechnical SupportDo Not Sell My Personal InformationVideo Viewing PolicyA Division of NBCUniversal Ad Choices©2020 NBCUniversal Media, LLCWe and our partners use cookies on this site to improve our service, perform analytics, personalize advertising, measure advertising performance, and remember website preferences. By using the site, you consent to these cookies. For more information on cookies including how to manage your consent visit our cookie policy.Continue
Watch The Tonight Show Starring Jimmy Fallon Interview: Deepak Chopra Uses AI Digital Deepak to Guide Jimmy Through Meditation
Watch The Tonight Show Starring Jimmy Fallon Interview: Deepak ChopraUses AI Digital Deepak toGuide Jimmy Through Meditation NBC.comNBC.comHomeShowsNetworksNews SportsAppShopJump to:AccessibilityTickets NBC Studio TourThe Tonight Show Starring Jimmy FallonWEEKNIGHTS 11:3510:35cmainticketsguestsepisodescollectionsphotosinternshipscreditsshopDeepak ChopraUses AI Digital Deepak toGuide Jimmy Through MeditationCLIP012820DetailsAlso available NBC appDeepak Chopratrips Jimmy talking 90th book, Metahuman, showcasing AI twin, Digital Deepak, guides The Roots Tonight Show audience meditation.Appearing:Jimmy FallonTags: The Tonight Show, Jimmy Fallon, Deepak Chopra, Uses, ai, digital, Deepak, Guide, Jimmy, through, MeditationS7 E746 minInterviewTalk InterviewLate Night20192020Most RecentMost RecentBehind ScenesCurrent PreviewHighlightInterviewWeb ExclusiveClips 100Michael Bloomberg His Game Plan Trump Political Ads Super BowlCLIP 012820Trump Reveals Middle East Peace PlanCLIP 012820Michael Bloomberg Reveals How President Trump Reacted His Advice 2016CLIP 012820Rapsody ft. PJ Morton: AfeniCLIP 012820Deepak ChopraUses AI Digital Deepak toGuide Jimmy Through MeditationCLIP 012820Michael Bloomberg Climate Change, Gun Control, Public HealthCLIP 012820Donald Trump ColdCalls Michael BloombergCLIP 012820Michael StrahanRemembers Kobe Bryant: He Is Legend ReasonCLIP 012720Michael StrahanReally Choked Eli Manning After TheirSuper Bowl WinCLIP 012720Jimmy Fallon Remembers Kobe BryantCLIP 012720Nick ThuneStandUpCLIP 012720Nick ThuneHas Problem Birds Catching Worms EarlyCLIP 012720Michael StrahansSuper Bowl LIV PreGame AnalysisCLIP 012720John Boltons Book Leaks Impeachment Evidence Against TrumpCLIP 012720Matt Bomer Addresses Tom Brady Biopic RumorsCLIP 012720Milo VentimigliaBecame Evel Knievel Minus StuntsCLIP 012420Thank You Notes: Impeachment Trial, Baby Jabba HuttCLIP 012420HowI Built ThisGuy RazExplains Why Mormons Make Great EntrepreneursCLIP 012420David Dobrik Jimmy Surprising People 100 Bills iPadsCLIP 012420Jimmy Pitches Guy Raz Smelly Yoga Mat DJ App IdeasCLIP 012420Milo Ventimiglia Calls Out His This Is Us CoStars Worrying About His DirectingCLIP 012420Carmen Lynch StandUpCLIP 012420NewsSmash: Impeachment Trial, NFL Pro Bowl, Mr. Peanut Dies, GrammysCLIP 012420Hashtags:ThereShouldBeALawCLIP 012320Jimmy Recaps Day 3 Trumps Senate Impeachment TrialCLIP 012320Wendy WilliamsReveals What It Takes Wife Her Up AgainCLIP 012320Griselda: Dr. BirdsCLIP 012320Noah CentineoClears Up To All Boys: P.S. I Still Love You Love Triangle RumorsCLIP 012320Water Warwith Noah CentineoCLIP 012320Wendy WilliamsReacts Giving Dua Lipa Nickname andSpills theTea Her DivorceCLIP 012320Google TranslateSongs HalseyCLIP 012220OneSecond Below Deck Quiz Leslie JonesCLIP 012220President Trump Impeachment Trial Day One Lasts 13 HoursCLIP 012220Leslie JonesDebates Below Deck Calls Out Misogynistic Biscuit AshtonCLIP 012220Jimmy Surprises Halsey Replacing Her Lost Childhood Jelly ShoesCLIP 012220Picture This: Blake Shelton, Rob GronkowskiCLIP 012220Halsey Talks Kissing Evan Peters Recites Graveyard Lyrics New Jersey AccentCLIP 012220Bon ApptitsClaire Saffitz Challenges Jimmy Layer CakeDecorating ContestCLIP 012220Leslie Jones Teamed Up Game Thrones Film Time Machine StandUp SpecialCLIP 012220David Dobrik Takes Over The Tonight ShowCLIP 012120David Dobrik Reenacts Moment Justin Bieber Tickled Him ClubCLIP 012120Yola: I Dont Wanna LieCLIP 012120President Trumps Impeachment Trial BeginsCLIP 012120Do Not Read: How Hide AnythingCLIP 012120Martin ShortGives His Hot Take Oscar Nominations SnubsCLIP 012120Charadeswith Martin Short David DobrikCLIP 012120David Dobrik Marrying His Friends 70Something MomCLIP 012120Kansas City Chiefs San Francisco 49ers Play Super Bowl 54CLIP 012020Ken Jeong Debuts New Ken 2020CLIP 012020Ken Jeong Shares Secrets Behind Hiding The Masked Singer ContestantsCLIP 012020Old Dominion: One Man BandCLIP 012020Kate Upton Demonstrates JiuJitsu Rear Naked Choke JimmyCLIP 012020Blessed Inspired: Follow Your DreamsCLIP 012020Heavy LightwithKen Jeong Kate UptonCLIP 012020Trump Unveils His Impeachment Trial Defense TeamCLIP 011720Ashley McBryde: One Night StandardsCLIP 011720Thank You Notes: Betty White, Streaming ServicesCLIP 011720Vanessa HudgensReveals Nickname Snoop Dogg Gave HerCLIP 011720Matthew McConaughey Hugh Grant Swap Iconic Movie LinesCLIP 011720Jimmy Has Robert Downey Jr. Doolittle Cast Secretly Slip Funny Words InterviewsCLIP 011720True Confessions Matthew McConaughey Hugh GrantCLIP 011720House HandDelivers Trump Impeachment Articles SenateCLIP 011620Hashtags:DumbestFamilyFightCLIP 011620One Second Songs Finn WolfhardCLIP 011620Finn WolfhardTalks Stranger Things 4 Hair Spoilers Ghostbusters: AfterlifeCLIP 011620The Schitts Creek Cast SlowBurn Success, Red Carpet Stanning Moiras WigsCLIP 011620MagicianJustin Willman Teaches Jimmy Trick Make Soda Disappear His MindCLIP 011620Know Your Schitts Creek Schitts Creek CastCLIP 011620This Week Memes: When Theres Only One Other Person Nude BeachCLIP 011520NewsSmash: Impeachment Progress, Red Sox Scandal, Ken Jennings Jeopardy GOAT, Weed TownCLIP 011520Aidy Bryant Explains Wardrobe Mishap That Made Her Break Character SNLCLIP 011520Robert Downey Jr.and Jimmy Embarrass Themselves Unaired SNL Sketch StoriesCLIP 011520Little Big Town: Sugar CoatCLIP 011520Robert Downey Jr.Talks Dolittle Duets JimmyCLIP 011520Cue Card Cold Read w Robert Downey Jr.CLIP 011520Catchphrase withTyler Perry Yara ShahidiCLIP 011420Tyler Perry Tries Keep Jimmy Spoiling His Movie A Fall GraceCLIP 011420Jimmy Recaps First Democratic Presidential Primary Debate 2020CLIP 011420Yara Shahidis Mom Traumatized Her Scary PrankCLIP 011420Tonight Show Polls: What Was Your New Years Resolution?CLIP 011420Black Pumas: ColorsCLIP 011420Jimmy Interviews Guy Who Wouldnt Stop Wooing SeahawksPackers GameCLIP 011320Talk Like Trump: Sustainment Brigade OfficerCLIP 011320Can You Feel It? Selena GomezCLIP 011320Charlie Hunnam Sprinted Naked Through Forest Escape Wasp AttackCLIP 011320Selena GomezReacts Wizards Waverly Place Theme Inspiring Billie Eilishs Bad GuyCLIP 011320Bernie Sanders Donald Trump Get It TwitterCLIP 011320Charlie Hunnam Got Master Class Acting Hugh Grant The GentlemenCLIP 011320Stormzy: Crown US TV DebutCLIP 011320Matthew Lopez Kyle Sollers The Inheritance Play Is Like Netflix SeriesCLIP 011020Martin Lawrence Will Smith BingeWatched Bad Boys 1 2 TogetherCLIP 011020DoNotPlay: Hunk Alert, Hands Up BoogieCLIP 011020Karol G: TusaCLIP 011020Jeopardy: Tournament Champions Gets Fifty Shades Grey TwitterCLIP 011020Martin Lawrence Reacts Kendrick Lamar Walking Out Interview HimCLIP 011020Thank You Notes: Prince Harry, Timothe ChalametCLIP 011020Patti Smith: After Gold RushCLIP 010920Will SmithLearned Hes No Tom Cruise While Filming Bad Boys LifeCLIP 010920Hashtags:RuinAMovieWithOneWordCLIP 010920Prince Harry Meghan Markle Step Back Royal FamilyCLIP 010920Season 7Season 7Season 6Episodes 74NEWS7 E74 012820January 28 Michael Bloomberg, Deepak Chopra, Rapsody ft. PJ MortonNEWS7 E73 012720January 27 Michael Strahan, Matt Bomer, Nick ThuneNEWS7 E72 012420January 24 Milo Ventimiglia, Guy Raz, Carmen Lynch NEWS7 E71 012320January 23 Noah Centineo, Wendy Williams, GriseldaNEWS7 E70 012220January 22 Halsey, Leslie Jones, Claire SaffitzS7 E69 012120January 21 Martin Short, David Dobrik, YolaS7 E68 012020January 20 Ken Jeong, Kate Upton, Old DominionS7 E67 011720January 17 Matthew McConaughey Hugh Grant, Vanessa Hudgens, Ashley McBrydeS7 E66 011620January 16 The Cast Schitts Creek, Finn Wolfhard, Justin WillmanS7 E65 011520January 15 Robert Downey Jr., Aidy Bryant, Little Big TownS7 E64 011420January 14 Tyler Perry, Yara Shahidi, Black PumasS7 E63 011320Selena Gomez, Charlie Hunnam, StormzyS7 E62 011020Martin Lawrence, Matthew Lopez Kyle Soller, Karol GS7 E61 010920Will Smith, Patti SmithS7 E60 010820Quentin Tarantino, Jodie Whittaker, Nathaniel RateliffS7 E59 010720Salma Hayek, George MacKay, Ask This Old HouseS7 E58 010620Shaquille ONeal, Jacqueline Novak, Lil BabyS7 E57 122019Eddie Murphy, Greta Gerwig, Orlando LeybaS7 E56 121919Kate McKinnon, Noah Baumbach, Dua LipaS7 E55 121819Helen Hunt Paul Reiser, Dua Lipa, James BlakeS7 E54 121719John Lithgow, Liam PayneS7 E53 121619Michael B. Jordan, Sam Heughan, Lea Michele ft. Jonathan GroffS7 E52 121219December 12 Ryan Reynolds, Niall Horan, Camila Cabello ft. DaBabyS7 E51 121119Jon Hamm, Keri Russell, Gary Clark Jr.S7 E50 121019Hasan Minhaj, Charlie PuthS7 E49 120919Timothe Chalamet, Ashley Graham, Bong Joon Ho, Summer WalkerS7 E48 120519Jennifer Lopez, Camila CabelloS7 E47 120419Senator Elizabeth Warren, Alanis MorissetteS7 E46 120319Felicity Jones, Tomi Adeyemi, Burna Boy, Kevin DelaneyS7 E45 120219John Mulaney, Karlie Kloss, SolangeS7 E44 120219Tiffany Haddish, Lakeith Stanfield, The Free Nationals ft. Anderson .PaakS7 E43 112819Tracy Morgan, Brian Regan, Jason AldeanS7 E42 112719John Boyega, Abigail Spencer, JP Saxe ft. Julia MichaelsS7 E41 112619November 26 Senator Bernie Sanders, Katherine Langford, Gary VaynerchukS7 E40 112519November 25 Daisy Ridley, Tom Hiddleston, Michael Eric Dyson, Noah Cyrus ft. Leon BridgesS7 E39 112219November 22 John Legend, M. Night ShyamalanS7 E38 112119Will Ferrell, Alan Cumming, Jessica KirsonS7 E37 112019November 20 Dolly Parton, Kacey MusgravesS7 E36 111919November 19 Chadwick Boseman, Evan Rachel Wood, David Byrne, David Byrnes American UtopiaS7 E35 111819Seth Meyers, Cobie Smulders, Tones IS7 E34 111519Cline Dion, Tig Notaro, Colin OBrady, Shin LimS7 E33 111419Alex Rodriguez, Lili Reinhart, Ian LaraS7 E32 111319Rachel Maddow, Tony Hale, Dominic FikeS7 E31 111219November 12 Kristen Bell, Judd Apatow, Danny BrownS7 E30 111119Michael Shannon, Jenna Bush Hager Barbara Pierce Bush, Pete YornS7 E29 110719Matthew McConaughey, Chip Joanna Gaines, Gucci ManeS7 E28 110619Henry Golding, Noomi Rapace, Dan WhiteS7 E27 110519November 5 Adam Sandler, Jenny Slate, Megan GaileyS7 E26 110419November 4 Chris Evans, Naomi Scott, EarthGangS7 E25 103119Kristen Stewart, Gaten Matarazzo, Pete LeeS7 E24 103019Emilia Clarke, Bobby Cannavale, Booker T. Jones, FKA twigsS7 E23 102919Reese Witherspoon, Rhett Link, Daniel HummS7 E22 102819Emma Thompson, Joel Kinnaman, Liam GallagherS7 E21 102719John Cena, Luke BryanS7 E20 102419KeeganMichael Key, Chance Rapper, BROCKHAMPTONS7 E19 102319Michael Douglas, Kathryn Hahn, Jenny LewisS7 E18 102219Jessica Biel, Billy Crudup, Jay JurdenS7 E17 102119Scarlett Johansson, Mayor Pete Buttigieg, Jim James, Teddy Abrams Louisville OrchestraS7 E16 102019Alec Baldwin, Kate Beckinsale, Young Thug ft. GunnaS7 E15 101019Priyanka Chopra Jonas, Questlove Tariq Black Thought Trotter, Rex Orange CountyS7 E14 100919Jesse Eisenberg, Hailee Steinfeld, Steve MillerS7 E13 100819Clive Owen, Elsie Fisher, Lewis CapaldiS7 E12 100719Lupita Nyongo, Dane Cook, Jay Sinatraa Won Matthew Super DeLisi, The Avett BrothersS7 E11 100619October 6 Edward Norton, Alessia CaraS7 E10 100419Joaquin Phoenix, Zoey DeutchS7 E9 100319Taylor Swift, Chris ODowd, Angel OlsenS7 E8 100219Natalie Portman, Henry Winkler, Robbie RobertsonS7 E7 100119LinManuel Miranda, Chris Colfer, The Cast Freestyle Love SupremeS7 E6 093019James Spader, Ruby Rose, Elvis Duran, DaBabyS7 E5 092719September 27 Billie Eilish, Sebastian ManiscalcoS7 E4 092619Michael Che Colin Jost, Dove Cameron, Robert Irwin, Carole KingS7 E3 092519Robert De Niro, Jameela Jamil, BastilleS7 E2 092419Demi Moore, Justin Hartley, Mark Ronson ft. YebbaS7 E1 092319Gwen Stefani, Ben Platt, Zac Brown BandNBC.comShare MomentNBC Quick LinksLink TV ProviderFAQCasting UsParental Guidelines TV RatingsTickets NBC Studio TourLocal ScheduleAccessibilityCorporate InfoJobsPrivacyTerms UpdatedAdvertiseViewer PanelClosed CaptioningTechnical SupportDo Not Sell My Personal InformationVideo Viewing PolicyA Division NBCUniversalAd Choices2020 NBCUniversal Media, LLCWe partners use cookies site improve service, perform analytics, personalize advertising, measure advertising performance, remember website preferences. By site, consent cookies. For information cookies including manage consent visit cookie policy.Continue
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https://www.capgemini.com/2020/08/building-an-ai-business-strategy/
2020-08-20T00:00:00
en
Building an AI business strategy
Building an AI business strategy Global | EN Search Select which Site you would like to reach: Worldwide Global | ENAmericas Argentina | ES Brazil | PT Canada | EN Canada | FR Colombia | ES Mexico | ES United States | ENAsia Pacific Australia | EN China | ZH India | EN Japan | JP Singapore | ENEurope, Africa & Middle East Austria | DE Belgium | EN Czech Republic | EN Denmark | EN Finland | EN France | FR Germany | DE Hungary | EN Italy | IT Netherlands | NL Norway | NO Poland | PL Portugal | EN Romania | EN Saudi Arabia | AR Spain | ES Sweden | EN Switzerland | EN UK | EN Toggle menu Industries Automotive Banking & Capital Markets Consumer Products Distribution – Wholesale Electronics & High Tech Energy and Utilities Government & Public Sector Healthcare & Life sciences Insurance Manufacturing & Industrial Products Media & Entertainment Retail Telecoms All Industries Services Artificial Intelligence Applied Innovation Business Operations Unlock value through intelligent automation Transform your finance operations Retain and engage your employees Optimize your supply chain and vendor performance Reimagine your core insurance processes Manage your contracts to capture lost revenue Manage your risk and compliance effectively Enrich your customer interactions Gain more insights from your business analytics Cloud Services Cloud Strategy Workloads Assessment Migrating Workloads to the Cloud SAP Migrations to the AWS Cloud Implementing Software-as-a-Service (SaaS) Cloud-Native Applications (PaaS) Capgemini Enterprise iPaaS Capgemini Cloud Platform Cybersecurity Services Cloud Security Cybersecurity Consulting Cyber attack Simulation Application Security Testing Identity & Access Management Capgemini’s IDaaS- Identity-as-a-Service Security Operations Center Future Ready EPaaS Compliance & Risk Cybersecurity Defense Maturity Evaluation Cybersecurity Transformation Services Network Security and Segmentation Service Cybersecurity Device Management Penetration Testing, Red Teaming, and Threat Simulation Managed Detection and Response Digital Services Customer Experience Digital Engineering and Manufacturing Services Digital Manufacturing Digital Strategy & Transformation GDPR Insights & Data Intelligent Industry Smart Operations Smart Products Technology Solutions Intelligent Automation Infrastructure Services Application Development & Maintenance Services Testing Services Transformation & Innovation Customer Engagement Future of Technology Innovation and Strategy Insight Driven Enterprise Operations Transformation People & Organization All Services Partners Amazon Web Services Dell Technologies Google HPE IBM Intel Microsoft Oracle Pega Salesforce SAP All our partners Our Experts Insights & News About us Our Company Company Profile & Key Figures Capgemini Invent Sogeti Technology, Innovations & Ventures All Our Brands A History of our Founder, Serge Kampf Values & Ethics Our Code of Business Ethics SpeakUp Group Anti-Corruption Policy World’s Most Ethical Companies® recognition Our Corporate Social Responsibility Program Rugby Sevens Investors Latest Annual Report Our Offices Contact us Careers Career paths Join Capgemini Invent Learning & Development Diversity Life at Capgemini Employee stories Job search Building an AI business strategy Publish date: Date icon August 20, 2020 Clear objectives, the right level of investment, and a solid governance model are crucial to developing an AI-first business strategy In business, as in life, there are things you really must have, and there are things you’d like to have. I’d bet that, for many organizations, artificial intelligence (AI) falls into the second category. “Yes, it sounds so promising, doesn’t it? We really ought to take a closer look sometime.” I’d argue it’s not a nice-to-have at all. I’d go further, and say it’s essential that companies embrace AI as something that can enable fundamentally different ways of working. It’s not just an add-on to what a business delivers today. Creating a business strategy for AI demands organizations get a clear handle on how it will impact not just the various products and services they create, but also the way companies interact with the market through sales and customer service, as well as the way they run their businesses. What’s fascinating is how AI is enabling a pervasive environment of prediction. The more digital a company becomes, the greater the data footprint to which it has access. Data feeds business models, and those business models predict. This means companies can create a much more anticipatory strategy, where decision-making is pushed to algorithms that are based on predictions gathered from operational and third-party data sources. Organizations need to get ready for all this. This means, in turn, that they need to invest significantly in extending the specialized skills required to develop and manage the next generation of AI solutions. And this includes carefully considered ethical constructs to assure safe and fair operations. Skills development is not just limited to technical development teams: it’s not purely the domain of the data scientists and engineers. If AI is to meet the needs of the business, the business needs to contribute to its development in return, which is why it’s vital that awareness is built throughout business operations to ensure the implications of AI will be readily understood. Combining these elements – the technology, and the commercial operations to which it is applied – play a big part in the development of a strategy that can be termed AI-first. Formulating a strategy Sometimes it’s as simple as knowing where to start. There is a lot of market hype surrounding AI, and often reality fails to meet the hype. The strategy must therefore have clear objectives: where should the focus be, at first and also, later? What might be classed as an “early win,” that can be used internally to build enthusiasm and momentum? Business leaders need to be actively involved in addressing these questions, and should be empowered to drive the AI strategy forwards. In fact companies should consider the creation of a Chief AI Officer role to provide the necessary drive and leadership. What’s more, the right level of investment is necessary, in order not just to develop appropriately skilled teams, but to show commitment, and to ensure progress is made. It’s hard to make the mindset change gear from that of a traditional business to something that is AI-driven. If it is not forward-reaching enough, this can limit the impact of the strategy: people won’t be impressed. That said, though, the contrary is also true: if the strategy is too ambitious, it can be difficult to create realizable projects – and that too, is unimpressive. There is also the specter of large numbers of AI projects never making it past proof of concept phase. This is typically for one of two reasons. Either the proof of concept was an experiment, and the outcomes were not as expected; or the business has not been sufficiently geared up to accommodate an AI-driven way of working. If the strategy does not have a governance model – a model that not only articulates a structured approach, but that also promotes scale – there is a good chance it will stall. In the next article in this series, I’ll be considering the creation of a framework for AI implementation. Download Capgemini’s TechnoVision 2020: Future Thinking Simplified , a report that helps business executives anticipate and assess emerging technologies as part of their strategy creation. Lee Beardmore  has spent over two decades advising clients on the best strategies for technology adoption. More recently, he has been leading the push in AI and intelligent automation for Capgemini’s Business Services. Lee is a computer scientist by education, a technologist at heart, and has a wealth of cross-industry experience. Author > Lee Beardmore Business Services Related Posts Business Services Capgemini Guatemala – compassion is key during COVID-19 Eduardo Castillo Date icon August 20, 2020 Giving our teams the equipment they needed, while looking after their physical and emotional... Read more icon Capgemini Guatemala – compassion is key during COVID-19 Business Services Touchless claims in P&C – evolving into an “inventive insurer” Aashish Jain Date icon August 4, 2020 P&C insurers that develop and implement a future-ready touchless claims operating model... Read more icon Touchless claims in P&C – evolving into an “inventive insurer” Business Services Virtual contracting and the new normal Mani Agarwal Date icon July 30, 2020 The need to adopt a new normal and redraft the rules of the game during the pandemic is... 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Building an AI business strategy
Building AI business strategy Global EN Select Site like reach: Worldwide Global ENAmericas Argentina ES Brazil PT Canada EN Canada FR Colombia ES Mexico ES United States ENAsia Pacific Australia EN China ZH India EN Japan JP Singapore ENEurope, Africa Middle East Austria DE Belgium EN Czech Republic EN Denmark EN Finland EN France FR Germany DE Hungary EN Italy IT Netherlands NL Norway NO Poland PL Portugal EN Romania EN Saudi Arabia AR Spain ES Sweden EN Switzerland EN UK EN Toggle menu Industries Automotive Banking Capital Markets Consumer Products Distribution Wholesale Electronics High Tech Energy Utilities Government Public Sector Healthcare Life sciences Insurance Manufacturing Industrial Products Media Entertainment Retail Telecoms All Industries Services Artificial Intelligence Applied Innovation Business Operations Unlock value intelligent automation Transform finance operations Retain engage employees Optimize supply chain vendor performance Reimagine core insurance processes Manage contracts capture lost revenue Manage risk compliance effectively Enrich customer interactions Gain insights business analytics Cloud Services Cloud Strategy Workloads Assessment Migrating Workloads Cloud SAP Migrations AWS Cloud Implementing SoftwareasaService SaaS CloudNative Applications PaaS Capgemini Enterprise iPaaS Capgemini Cloud Platform Cybersecurity Services Cloud Security Cybersecurity Consulting Cyber attack Simulation Application Security Testing Identity Access Management Capgeminis IDaaS IdentityasaService Security Operations Center Future Ready EPaaS Compliance Risk Cybersecurity Defense Maturity Evaluation Cybersecurity Transformation Services Network Security Segmentation Service Cybersecurity Device Management Penetration Testing, Red Teaming, Threat Simulation Managed Detection Response Digital Services Customer Experience Digital Engineering Manufacturing Services Digital Manufacturing Digital Strategy Transformation GDPR Insights Data Intelligent Industry Smart Operations Smart Products Technology Solutions Intelligent Automation Infrastructure Services Application Development Maintenance Services Testing Services Transformation Innovation Customer Engagement Future Technology Innovation Strategy Insight Driven Enterprise Operations Transformation People Organization All Services Partners Amazon Web Services Dell Technologies Google HPE IBM Intel Microsoft Oracle Pega Salesforce SAP All partners Our Experts Insights News About Our Company Company Profile Key Figures Capgemini Invent Sogeti Technology, Innovations Ventures All Our Brands A History Founder, Serge Kampf Values Ethics Our Code Business Ethics SpeakUp Group AntiCorruption Policy Worlds Most Ethical Companies recognition Our Corporate Social Responsibility Program Rugby Sevens Investors Latest Annual Report Our Offices Careers Career paths Join Capgemini Invent Learning Development Diversity Life Capgemini Employee stories Job search Building AI business strategy Publish date: Date icon August 20, 2020 Clear objectives, right level investment, solid governance model crucial developing AIfirst business strategy In business, life, things have, things youd like have. Id bet that, organizations, artificial intelligence AI falls second category. Yes, sounds promising, doesnt it? We ought closer look sometime. Id argue nicetohave all. Id further, essential companies embrace AI enable fundamentally different ways working. Its addon business delivers today. Creating business strategy AI demands organizations clear handle impact products services create, way companies interact market sales customer service, way run businesses. Whats fascinating AI enabling pervasive environment prediction. The digital company becomes, greater data footprint access. Data feeds business models, business models predict. This means companies create anticipatory strategy, decisionmaking pushed algorithms based predictions gathered operational thirdparty data sources. Organizations need ready this. This means, turn, need invest significantly extending specialized skills required develop manage generation AI solutions. And includes carefully considered ethical constructs assure safe fair operations. Skills development limited technical development teams: purely domain data scientists engineers. If AI meet needs business, business needs contribute development return, vital awareness built business operations ensure implications AI readily understood. Combining elements technology, commercial operations applied play big development strategy termed AIfirst. Formulating strategy Sometimes simple knowing start. There lot market hype surrounding AI, reality fails meet hype. The strategy clear objectives: focus be, also, later? What classed early win, internally build enthusiasm momentum? Business leaders need actively involved addressing questions, empowered drive AI strategy forwards. In fact companies consider creation Chief AI Officer role provide necessary drive leadership. Whats more, right level investment necessary, order develop appropriately skilled teams, commitment, ensure progress made. Its hard mindset change gear traditional business AIdriven. If forwardreaching enough, limit impact strategy: people wont impressed. That said, though, contrary true: strategy ambitious, difficult create realizable projects too, unimpressive. There specter large numbers AI projects making past proof concept phase. This typically reasons. Either proof concept experiment, outcomes expected; business sufficiently geared accommodate AIdriven way working. If strategy governance model model articulates structured approach, promotes scale good chance stall. In article series, Ill considering creation framework AI implementation. Download Capgeminis TechnoVision 2020: Future Thinking Simplified , report helps business executives anticipate assess emerging technologies strategy creation. Lee Beardmore spent decades advising clients best strategies technology adoption. More recently, leading push AI intelligent automation Capgeminis Business Services. Lee scientist education, technologist heart, wealth crossindustry experience. Author > Lee Beardmore Business Services Related Posts Business Services Capgemini Guatemala compassion key COVID19 Eduardo Castillo Date icon August 20, 2020 Giving teams equipment needed, looking physical emotional... Read icon Capgemini Guatemala compassion key COVID19 Business Services Touchless claims PC evolving inventive insurer Aashish Jain Date icon August 4, 2020 PC insurers develop implement futureready touchless claims operating model... Read icon Touchless claims PC evolving inventive insurer Business Services Virtual contracting new normal Mani Agarwal Date icon July 30, 2020 The need adopt new normal redraft rules game pandemic is... 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POSITIVE
703
https://www.fox.com/watch/ed986c261ae71fe40aafb978f5cd2818/
2020-10-05T00:00:00
en
"Trailer: Produced By Artificial Intelligence" | Watch neXt Clips at FOX.com
"Trailer: Produced By Artificial Intelligence" | Watch neXt Clips at FOX.com FoxNews.comFoxBusiness.comNation.FoxNews.comFoxSports.comTubiTV.comHomeEntertainmentSportsLocalNewsLive TV & ScheduleTV Provider Sign InNEWneXt Trailer: Produced By Artificial IntelligenceA trailer for the new FOX show, NEXT, written, edited, and scored by Artificial Intelligence. NEXT premieres TUE at 9/8c only on FOX!... More10-5-2020 • TV-14 • 2mTrailer: Produced By Artificial IntelligenceneXt ClipsNEW Trailer: His Paranoia Might Just Save Us All10-01-20 • TV-14 • 2m• • •EXPIRING SOON Teaser: This Thing Is Coming For Us09-09-20 • TV-14 • 1m• • • Cast Chat: Who Is The Cyber Crimes Unit?09-08-20 • TV-14 • 2m• • • John Slattery As Paul LeBlanc08-27-20 • TV-14 • 1m• • •See AllneXt Episodes (1)NEWS1 E1 FILE #110-03-20 • TV-14 VLD • 45m• • •FOXEntertainmentneXtClipsTrailer: Produced By Artificial IntelligenceFOX Socialfacebook.com/FOXTV@[email protected]/foxbroadcastingFOX LinksGet FOX NOWCasting CallsAudio DescriptionLocal StationsShopClosed CaptioningCareersSupport and FAQsSitemapViewer FeedbackTV Parental GuidelinesFOX NetworksFOX SportsFOX NewsBusiness NewsTrademark & Copyright Notice: ™ and © 2020 Fox Media LLC. All rights reserved. Use of this Website (including any and all parts and components) constitutes your acceptance of these Terms of Use and Updated Privacy Policy. DO NOT SELL MY PERSONAL INFORMATION
"Trailer: Produced By Artificial Intelligence"
Trailer: Produced By Artificial Intelligence Watch neXt Clips FoxNews.comFoxBusiness.comNation.FoxNews.comFoxSports.comTubiTV.comHomeEntertainmentSportsLocalNewsLive TV ScheduleTV Provider NEWneXt Trailer: Produced By Artificial IntelligenceA trailer new FOX show, NEXT, written, edited, scored Artificial Intelligence. NEXT premieres TUE 98c FOX... More1052020 TV14 2mTrailer: Produced By Artificial IntelligenceneXt ClipsNEW Trailer: His Paranoia Might Just Save Us All100120 TV14 2m EXPIRING SOON Teaser: This Thing Is Coming For Us090920 TV14 1m Cast Chat: Who Is The Cyber Crimes Unit?090820 TV14 2m John Slattery As Paul LeBlanc082720 TV14 1m See AllneXt Episodes 1NEWS1 E1 FILE 1100320 TV14 VLD 45m FOXEntertainmentneXtClipsTrailer: Produced By Artificial IntelligenceFOX FOXTV LinksGet FOX NOWCasting CallsAudio DescriptionLocal StationsShopClosed CaptioningCareersSupport FAQsSitemapViewer FeedbackTV Parental GuidelinesFOX NetworksFOX SportsFOX NewsBusiness NewsTrademark Notice: 2020 Fox Media LLC. . Use Website including parts components constitutes acceptance Terms Use Updated . DO NOT SELL MY PERSONAL INFORMATION
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http://www.sbwire.com/press-releases/artificial-intelligence-ai-speakers-market-segmentation-application-trends-opportunity-forecast-2020-to-2024-1270637.htm
2020-01-30T00:00:00
en
Artificial Intelligence (AI) Speakers Market Segmentation, Application, Trends, Opportunity & Fo
Artificial Intelligence (AI) Speakers Market Segmentation, Application, Trends, Opportunity & Fo SBWire Sign Up Login Our Service Plans & Pricing Newsroom Help About WiseGuyReports Email Alerts| RSS Artificial Intelligence (AI) Speakers Market Segmentation, Application, Trends, Opportunity & Forecast 2020 to 2024 WiseGuyReports.Com Publish a New Market Research Report On –“ Artificial Intelligence (AI) Speakers Market Segmentation, Application, Trends, Opportunity & Forecast 2020 to 2024”.   Pune, Maharashtra -- (SBWIRE) -- 01/13/2020 -- Artificial Intelligence (AI) Speakers Market 2020 Description: - The report provides basic information about the global Artificial Intelligence (AI) Speakers market along with the overview giving the product market definition. The scope of the various products and an overview of the market profile are also included. The report also gives a description of the manufacturing technology and development trends influencing the growth of the Artificial Intelligence (AI) Speakers market. The report also puts special focus on the sales of products, product revenues, as well as product categories that have shown high growth rates. Using the data from previous years, the report studies the effectiveness of the Artificial Intelligence (AI) Speakers market with its growth during the forecast period from 2019 to 2024. This report studies the Artificial Intelligence (AI) Speakers market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence (AI) Speakers market by product type and applications/end industries. Get a Sample Report @ https://www.wiseguyreports.com/sample-request/4795821-global-artificial-intelligence-ai-speakers-market-2019-by For more information or any query mail at [email protected] Major Key Players Apple DOSS Alibaba Xiaomi Sony Huawei Bose Haier Drivers and Constraints The various factors restricting the market growth as well as the factors contributing to the growth of the Artificial Intelligence (AI) Speakers market are discussed in detail in the report. The different factors have been studied with the aim of predicting the maximum market growth with regards to the overall market size. The other growth factors playing a major role during the forecast period have also been evaluated. The major driving factors for the production market would be the expansion of the industrial sector with developing countries setting up special industrial zones attracting manufacturing outsourcing. Regional Description The report published on the global Artificial Intelligence (AI) Speakers market makes a market divided into segments according to the regions based on geographic locations. The major regional segments covered in this report include Asia-Pacific, the Middle East, North America, South America, Europe, and Africa. The market size and growth potential of the different regions have been presented along with the forecast for the period from 2019 to 2024. This also covers in detail the sales, revenue, import and export data and the latest trends and market prospects for the different regions covered. Method of Research The compilation of various sources of information and market data has been done in this market report. The quantitative and qualitative assessment has been carried out for the overall Artificial Intelligence (AI) Speakers market. The study has made use of inputs from industry experts and participants regarding the current market scenario. The research methodologies used in this report are based on primary and secondary research derived from data collected from reliable sources. It also contains an analysis of Porter's Five Forces that includes the threat from new market products and entrants, and the market dynamics influenced by suppliers and consumers. Enquiry About Report @ https://www.wiseguyreports.com/enquiry/4795821-global-artificial-intelligence-ai-speakers-market-2019-by Table of Contents – Major Key Points 1 Artificial Intelligence (AI) Speakers Market Overview 2 Company Profiles 3 Global Artificial Intelligence (AI) Speakers Market Competition, by Players 4 Global Artificial Intelligence (AI) Speakers Market Size by Regions 5 North America Artificial Intelligence (AI) Speakers Revenue by Countries 6 Europe Artificial Intelligence (AI) Speakers Revenue by Countries 7 Asia-Pacific Artificial Intelligence (AI) Speakers Revenue by Countries 8 South America Artificial Intelligence (AI) Speakers Revenue by Countries 9 Middle East and Africa Revenue Artificial Intelligence (AI) Speakers by Countries 10 Global Artificial Intelligence (AI) Speakers Market Segment by Type Continued…. About Wise Guy Reports Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories. Media Relations Contact Norah Trent 646-845-9349 Email | Web | Profile Follow WiseGuyReports   WiseGuyReports - Logo   Source: WiseGuyReports Posted Monday, January 13, 2020 at 2:36 PM CST - Permalink   For information regarding the content of this press release please contact the media relations contact listed above directly. Security Policy | Terms of Service | Privacy Policy | Report Abuse Copyright © 2005 - 2020 - SBWire, a service of ReleaseWire LLC All Rights Reserved - Important Disclaimer Customer Support Knowledgebase Submit a ticket
Artificial Intelligence (AI) Speakers Market Segmentation, Application, Trends, Opportunity & Fo
Artificial Intelligence AI Speakers Market Segmentation, Application, Trends, Opportunity Fo SBWire Sign Up Our Service Plans Pricing Newsroom Help About WiseGuyReports Email Alerts RSS Artificial Intelligence AI Speakers Market Segmentation, Application, Trends, Opportunity Forecast 2020 2024 WiseGuyReports.Com Publish New Market Research Report On Artificial Intelligence AI Speakers Market Segmentation, Application, Trends, Opportunity Forecast 2020 2024. Pune, Maharashtra SBWIRE 01132020 Artificial Intelligence AI Speakers Market 2020 Description: The report provides basic information global Artificial Intelligence AI Speakers market overview giving product market definition. The scope products overview market profile included. The report gives description manufacturing technology development trends influencing growth Artificial Intelligence AI Speakers market. The report puts special focus sales products, product revenues, product categories shown high growth rates. Using data previous years, report studies effectiveness Artificial Intelligence AI Speakers market growth forecast period 2019 2024. This report studies Artificial Intelligence AI Speakers market status outlook Global major regions, angles players, countries, product types end industries; report analyzes players global market, splits Artificial Intelligence AI Speakers market product type applicationsend industries. Get Sample Report @ For information query mail sales Major Key Players Apple DOSS Alibaba Xiaomi Sony Huawei Bose Haier Drivers Constraints The factors restricting market growth factors contributing growth Artificial Intelligence AI Speakers market discussed report. The different factors studied aim predicting maximum market growth regards overall market size. The growth factors playing major role forecast period evaluated. The major driving factors production market expansion industrial sector developing countries setting special industrial zones attracting manufacturing outsourcing. Regional Description The report published global Artificial Intelligence AI Speakers market makes market divided segments according regions based geographic locations. The major regional segments covered report include AsiaPacific, Middle East, North America, South America, Europe, Africa. The market size growth potential different regions presented forecast period 2019 2024. This covers sales, revenue, import export data latest trends market prospects different regions covered. Method Research The compilation sources information market data market report. The quantitative qualitative assessment carried overall Artificial Intelligence AI Speakers market. The study use inputs industry experts participants current market scenario. The research methodologies report based primary secondary research derived data collected reliable sources. It contains analysis Porters Five Forces includes threat new market products entrants, market dynamics influenced suppliers consumers. Enquiry About Report @ Table Contents Major Key Points 1 Artificial Intelligence AI Speakers Market Overview 2 Company Profiles 3 Global Artificial Intelligence AI Speakers Market Competition, Players 4 Global Artificial Intelligence AI Speakers Market Size Regions 5 North America Artificial Intelligence AI Speakers Revenue Countries 6 Europe Artificial Intelligence AI Speakers Revenue Countries 7 AsiaPacific Artificial Intelligence AI Speakers Revenue Countries 8 South America Artificial Intelligence AI Speakers Revenue Countries 9 Middle East Africa Revenue Artificial Intelligence AI Speakers Countries 10 Global Artificial Intelligence AI Speakers Market Segment Type Continued. About Wise Guy Reports Wise Guy Reports Wise Guy Consultants Pvt. Ltd. offers premium progressive statistical surveying, market research reports, analysis forecast data industries governments globe. Wise Guy Reports features exhaustive list market research reports hundreds publishers worldwide. We boast database spanning virtually market category comprehensive collection market research reports categories subcategories. Media Relations Norah Trent 6468459349 Email Web Profile Follow WiseGuyReports WiseGuyReports Logo Source: WiseGuyReports Posted Monday, January 13, 2020 2:36 PM CST Permalink For information content press release contact media relations contact listed directly. Security Policy Report Abuse 2005 2020 SBWire, service ReleaseWire LLC Important Disclaimer Customer Support Knowledgebase Submit ticket
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https://www.smh.com.au/culture/movies/australian-screen-agency-to-develop-film-tv-using-artificial-intelligence-20200620-p554io.html?ref=rss&utm_medium=rss&utm_source=rss_culture
2020-06-21T00:00:00
en
Screen Queensland partners with online reading hub Wattpad to develop projects using artificial intelligence
Screen Queensland partners with online reading hub Wattpad to develop projects using artificial intelligenceAustralian screen agency to develop film, TV using artificial intelligenceSkip to sections navigationSkip to contentSkip to footerOur networkSubscribeLog InOpenMenuThe Sydney Morning HeraldSubscribe0 items in ShortlistThe Sydney Morning HeraldcloseSearch SiteSectionsNetworkHomeSydneyNSWPoliticsShow subsectionsFederalNSWVictoriaQueenslandWestern AustraliaBusinessShow subsectionsCompaniesMarketsThe economyBanking & financeSmall businessConsumer affairsWorkplaceWorldShow subsectionsNorth AmericaEuropeAsiaMiddle EastOceaniaSouth AmericaAfricaNationalShow subsectionsVictoriaQueenslandWestern AustraliaOpinionPropertySportShow subsectionsNRLRugby unionCricketSoccerAFLRacingTennisNetballBasketballMotorsportCyclingGolfNFLAthleticsSwimmingBoxingCultureShow subsectionsMoviesTV & radioMusicCelebrityBooksComedyDanceMusicalsOperaTheatreArt & designTV guideLifestyleShow subsectionsLife & relationshipsHealth & wellnessGenderFashionBeautyHoroscopesGood WeekendMoneyShow subsectionsSuper & retirementInvestingBankingBorrowingSavingTaxPlanning & budgetingInsuranceEducationHealthcareEnvironmentShow subsectionsConservationClimate changeSustainabilityWeatherTechnologyShow subsectionsVideo gamesHome techPhonesGadgetsDriveTravellerGood FoodPremiumSubscribeToday’s PaperDaily CrosswordsMoreLettersEditorialColumn 8ObituariesExplainersQuizzesWeatherThe Sydney Morning HeraldThe AgeBrisbane TimesWAtodayThe Australian Financial ReviewDomainCommercial Real EstateDriveGood FoodTravellerFind A BabysitterWeatherzoneRSVPAdvertisementExclusiveCultureMoviesAIAustralian screen agency to develop film, TV using artificial intelligenceBy Karl Quinn June 22, 2020 — 12.00amNormal text sizeLarger text sizeVery large text sizeIn what is being billed as an Australian first, Screen Queensland has teamed with online reading hub Wattpad to take up to three projects from book to screen using artificial intelligence and machine learning to determine what audiences want.The Toronto-based Wattpad, via which authors publish stories in serial form, claims to have around 80 million unique users a month, 90 per cent of them in the 16-35 age bracket and around 70 per cent female. Launched in 2007, it now hosts around 500 million "uploads" from around 4 million authors, with its audience distributed equally among North America, Latin America, Europe and the Asia-Pacific region.Josephine Langford as Tessa and Hero Fiennes-Tiffin as Hardin in scenes from the film After, one of Wattpad's biggest successes to date. Credit:RoadshowThe likes of Margaret Attwood, Amy Poehler and Dan Brown appear on the platform, but the vast majority of authors are previously unpublished. Perhaps the most significant element of the platform, though, is the reader interaction."It isn't a one-way conversation where someone posts a novel-length piece and that's the end of it," says CEO Aron Levitz. "It really is a serialised form of entertainment where our biggest and best authors are posting week by week, the audience is engaging with them, asking questions, and arguing with each other right down to the paragraph level."AdvertisementFrom those interactions, says Mr Levitz, the company "collects around a billion points of data a day" using its Story DNA analytical software to work out what elements resonate with readers. "And we're using that data to make better decisions in adaptation for film or TV or books, to have a better chance of success because of the built-in audience these stories already have."Arguably, that makes a local joint project an almost perfect fit, given the emergence of "pathway to audience" as a mantra from Screen Australia and other agencies in recent years.Wattpad CEO Aron Levitz.Credit:WattpadThere's a criticism implicit in that, of course – that too often screen creatives in this country have been driven by their own storytelling desires with not enough attention paid to whether or not there is an actual audience for their stories. Though that tells only part of the story, it is often cited as a reason for the market failure of so many Australian films and TV series.The Wattpad model, which favours YA-focused projects, comes at the creative equation from the opposite end: first you work out what audiences want, then you build it. It's like audience-testing on steroids."Testing will tell you if a story is enjoyed by an audience, but we're using that data throughout the development process," says Mr Levitz. "You can take a bestselling book and give it to a screenwriter who has no depth of knowledge about what parts an audience likes, and they're just doing their best to adapt a 400-page novel into a script. We're actually giving our screenwriting partners the ability to understand what audiences were thinking at every step of the story."To date, Wattpad claims to have developed almost 1000 properties for "screen, digital or book" platforms.Wattpad's head office, in Toronto.Credit:WattpadIt counts among its greatest successes The Kissing Booth, which Netflix chief content officer Ted Sarandos claimed in 2018 was "one of the most watched movies in the country, if not in the world" (Netflix rarely releases hard viewer numbers); the Hulu series Light As a Feather, which has been nominated for 10 Daytime Emmy Awards across its two seasons; and the feature film After, which Mr Levitz claims was "one of 2019's most successful independent films", with global box office nearing $US70 million ($102 million) on a reported budget of $US14 million.For Screen Queensland, the partnership represents an opportunity for Australian creatives to develop projects squarely aimed at a global audience, with the potential for fan buy-in from the very start."Developing work with an audience is not something we've done before, and that's really exciting,” says Screen Queensland content executive Jo Dillon."We’re always looking to tell distinctive Australian stories with themes that resonate with global audiences. Here we're working with material that already has an audience around the world."Follow the author on Facebook at karlquinnjournalist and on Twitter @karlkwinLicense this articleAIStreamingNetflixKarl QuinnFacebookTwitterEmailKarl Quinn is a senior culture writer at The Age and The Sydney Morning Herald.Most Viewed in CultureLoadingAdvertisementAdvertisementThe Sydney Morning HeraldTwitterFacebookInstagramRSSOur SitesThe Sydney Morning HeraldThe AgeBrisbane TimesWAtodayThe Australian Financial ReviewDomainTravellerGood FoodDriveCarAdviceRSVPWeatherzoneClassifiedsTributesCelebrationsPlace your adCommercial Real EstateOneflareThe Sydney Morning HeraldContact & supportAdvertise with usNewslettersAccessibility guideSitemapPhoto salesPurchase front pagesContent licensingOur eventsWork with usConditions of usePrivacy policyPress CouncilProducts & ServicesSubscription packagesSubscriber benefitsMy accountSubscriptions FAQsToday’s PaperDaily CrosswordsCopyright © 2020FeedbackSubscribe
Screen Queensland partners with online reading hub Wattpad to develop projects using artificial intelligence
Screen Queensland partners online reading hub Wattpad develop projects artificial intelligenceAustralian screen agency develop film, TV artificial intelligenceSkip sections navigationSkip contentSkip footerOur networkLog InOpenMenuThe Sydney Morning Herald0 items ShortlistThe Sydney Morning Heraldclose SiteSectionsNetworkHomeSydneyNSWPoliticsShow subsectionsFederalNSWVictoriaQueenslandWestern AustraliaBusinessShow subsectionsCompaniesMarketsThe economyBanking financeSmall businessConsumer affairsWorkplaceWorldShow subsectionsNorth AmericaEuropeAsiaMiddle EastOceaniaSouth AmericaAfricaNationalShow subsectionsVictoriaQueenslandWestern AustraliaOpinionPropertySportShow subsectionsNRLRugby unionCricketSoccerAFLRacingTennisNetballBasketballMotorsportCyclingGolfNFLAthleticsSwimmingBoxingCultureShow subsectionsMoviesTV radioMusicCelebrityBooksComedyDanceMusicalsOperaTheatreArt designTV guideLifestyleShow subsectionsLife relationshipsHealth wellnessGenderFashionBeautyHoroscopesGood WeekendMoneyShow subsectionsSuper retirementInvestingBankingBorrowingSavingTaxPlanning budgetingInsuranceEducationHealthcareEnvironmentShow subsectionsConservationClimate changeSustainabilityWeatherTechnologyShow subsectionsVideo gamesHome techPhonesGadgetsDriveTravellerGood FoodPremiumTodays PaperDaily CrosswordsMoreLettersEditorialColumn 8ObituariesExplainersQuizzesWeatherThe Sydney Morning HeraldThe AgeBrisbane TimesWAtodayThe Australian Financial ReviewDomainCommercial Real EstateDriveGood FoodTravellerFind A BabysitterWeatherzoneRSVPAdvertisementExclusiveCultureMoviesAIAustralian screen agency develop film, TV artificial intelligenceBy Karl Quinn June 22, 2020 12.00amNormal text sizeLarger text sizeVery large text sizeIn billed Australian first, Screen Queensland teamed online reading hub Wattpad projects book screen artificial intelligence machine learning determine audiences want.The Torontobased Wattpad, authors publish stories serial form, claims 80 million unique users month, 90 cent 1635 age bracket 70 cent female. Launched 2007, hosts 500 million uploads 4 million authors, audience distributed equally North America, Latin America, Europe AsiaPacific region.Josephine Langford Tessa andHero FiennesTiffin Hardin scenes film After, Wattpads biggest successes date.Credit:RoadshowThe likes Margaret Attwood, Amy Poehler Dan Brown appear platform, vast majority authors previously unpublished. Perhaps significant element platform, though, reader interaction.It isnt oneway conversation posts novellength piece thats end it, says CEO Aron Levitz. It serialised form entertainment biggest best authors posting week week, audience engaging them, asking questions, arguing right paragraph level.AdvertisementFrom interactions, says Mr Levitz, company collects billion points data day Story DNA analytical software work elements resonate readers. And data better decisions adaptation film TV books, better chance success builtin audience stories have.Arguably, makes local joint project perfect fit, given emergence pathway audience mantra Screen Australia agencies recent years.Wattpad CEO Aron Levitz.Credit:WattpadTheres criticism implicit that, course screen creatives country driven storytelling desires attention paid actual audience stories. Though tells story, cited reason market failure Australian films TV series.The Wattpad model, favours YAfocused projects, comes creative equation opposite end: work audiences want, build it. Its like audiencetesting steroids.Testing tell story enjoyed audience, data development process, says Mr Levitz. You bestselling book screenwriter depth knowledge parts audience likes, theyre best adapt 400 novel script. Were actually giving screenwriting partners ability understand audiences thinking step story.To date, Wattpad claims developed 1000 properties screen, digital book platforms.Wattpads head office, Toronto.Credit:WattpadIt counts greatest successes The Kissing Booth, Netflix chief content officer Ted Sarandos claimed 2018 watched movies country, world Netflix rarely releases hard viewer numbers; Hulu series Light As Feather, nominated 10 Daytime Emmy Awards seasons; feature film After, Mr Levitz claims 2019s successful independent films, global box office nearing US70 million 102 million reported budget US14 million.For Screen Queensland, partnership represents opportunity Australian creatives develop projects squarely aimed global audience, potential fan buyin start.Developing work audience weve before, thats exciting, says Screen Queensland content executive Jo Dillon.Were looking tell distinctive Australian stories themes resonate global audiences. Here working material audience world.Follow author Facebook karlquinnjournalist Twitter articleAIStreamingNetflixKarl QuinnFacebookTwitterEmailKarl Quinn senior culture writer The Age The Sydney Morning Herald.Most Viewed CultureLoadingAdvertisementAdvertisementThe Sydney Morning HeraldTwitterFacebookInstagramRSSOur SitesThe Sydney Morning HeraldThe AgeBrisbane TimesWAtodayThe Australian Financial ReviewDomainTravellerGood FoodDriveCarAdviceRSVPWeatherzoneClassifiedsTributesCelebrationsPlace adCommercial Real EstateOneflareThe Sydney Morning Herald supportAdvertise usNewslettersAccessibility guideSitemapPhoto salesPurchase sContent licensingOur eventsWork usConditions usePrivacy policyPress CouncilProducts ServicesSubscription packagesr benefitsMy accountSubscriptions FAQsTodays PaperDaily Crosswords 2020Feedback
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https://www.grandforksgazette.ca/news/centre-eyes-artificial-intelligence-to-modernize-the-federal-hunt-for-dirty-cash/
2020-03-13T00:00:00
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Centre eyes artificial intelligence to modernize the federal hunt for dirty cash – Grand Forks Gazette
Centre eyes artificial intelligence to modernize the federal hunt for dirty cash – Grand Forks Gazette SearchHome Submit News Tip News Local News Municipal Election BC Federal Election 2019 Canada & World eEditions Submit news tip or photo Coronavirus News Subscription Subscribe Now Link Account Login Renew Sports Local Grand Forks Border Bruins KIJHL BC Canada & World Submit sports tip or photo 2020 B.C. 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Winter Games Trending Now Newsletters Autos Classifieds Jobs Business Local BC Submit business tip or photo Entertainment Local BC Submit entertainment tip or photo Photo Galleries Life Life Sip & Savour Wine Trails Submit life tip or photo Community Local Miss BC Social Matters I Love British Columbia Calendar Submit community tip or photo Opinion Local Opinion Editorials Columnists Letters Web poll BC Opinion Submit letter Videos Local Submit video Black Press TV Weather Obituaries Special Sections Marketplace Place an ad Impress branded content Real Estate Contests Contact Us Contact Us Our Team Black Press Submit tip or photo FAQ Privacy Policy Terms of use Site Map Centre eyes artificial intelligence to modernize the federal hunt for dirty cash Overall, the centre disclosed 2,276 pieces of financial intelligence to police and security agencies The Canadian PressMar. 13, 2020 7:00 a.m.News The federal anti-money laundering centre is exploring artificial intelligence and machine learning to help sort through a deluge of data in the hunt for hidden dirty cash. In its annual report made public Wednesday, the Financial Transactions and Reports Analysis Centre of Canada, known as Fintrac, says rapid change in the global financial system, spurred by quickly evolving technology, is both a challenge and an opportunity. Fintrac says technology can help money launderers but also create more efficient and effective ways of doing business for enforcement agencies. The federal centre tries to pinpoint cash linked to money laundering and terrorism by sifting through millions of pieces of information annually from banks, insurance companies, securities dealers, money service businesses, real estate brokers, casinos and others. Overall, the centre disclosed 2,276 pieces of financial intelligence to police and security agencies such as the RCMP and Canadian Security Intelligence Service last year. Of these, 1,702 were related to money laundering, 373 to terrorism financing and threats to the security of Canada, and 201 to a combination of these. Fraud, drugs and tax evasion were the most common offences linked to the disclosures. Many of the drug-related ones involved the movement of money related to deadly fentanyl. The top three recipients of information were the RCMP, municipal police forces and CSIS. In December, Fintrac warned casinos to scrutinize customers who pay for their gaming with bank drafts — the latest method of choice for criminals trying to disguise tainted money. The agency published the alert as part of Project Athena, an RCMP-led public-private partnership aimed at disrupting money-laundering activity in British Columbia and across Canada. The initiative was modelled on previous efforts targeting the fentanyl trade, romance fraud and human trafficking. B.C. launched a public inquiry into money laundering in May after a series of independent reviews revealed that billions of dollars were being laundered through the province’s casinos, real estate market and other sectors. B.C. was second only to Ontario among provinces in the number of financial intelligence disclosure packages received from Fintrac in 2018-19. The federal centre depends on sophisticated technology to receive, store and secure over 25 million new financial transaction reports every year. Filtering and analyzing the information to generate useful intelligence is only possible with modern systems that can manage the high volume of data, make the connections and produce the needed results, all in real-time or close to it, the report says. “Over the past year, the centre engaged in research and consultation aimed at better understanding how to take advantage of new and evolving technology, particularly in relation to machine learning and artificial intelligence.” Fintrac has begun a comprehensive review of its modernization effort to ensure “full and timely use” of its data. Jim Bronskill , The Canadian Press Like us on Facebook and follow us on Twitter. money laundering Get local stories you won't find anywhere else right to your inbox. Sign up here Previous story Sophie Gregoire Trudeau tests positive for COVID-19: PMO Next story Chinese allow Michael Kovrig telephone call to sick father amid COVID-19 Just Posted MP Richard Cannings in self-isolation after attending Toronto mining conferenceHe is among a group of MPs and ministers including Prime Minister Trudeau taking similar precautions COVID-19: Province bans large gatherings in B.C.Health officials take new measures to combat spread of novel coronavirus Coronavirus spread prompts Selkirk College letter to students‘We can’t stop COVID-19, all we can do is plan to deal with it.’ Unbeaten Boundary Midget Predators win league on home iceThe Predators trounced second-place Casltegar in the final, by a score of 7-2 Trudeau promises $1 billion for COVID-19 research, resilienceMeasures would make it easier for people to stay home if sick QUIZ: Are you feeling unlucky?There are many superstitions surrounding Friday the 13th. See how well you know these traditions Researchers and health workers further vaccine development, drive-thru testingMeanwhile, researchers in Ontario announced they isolated the COVID-19 virus on Thursday Centre eyes artificial intelligence to modernize the federal hunt for dirty cashOverall, the centre disclosed 2,276 pieces of financial intelligence to police and security agencies QUIZ: Are you feeling unlucky?There are many superstitions surrounding Friday the 13th. See how well you know these traditions Do you think you have COVID-19? Here is what to do nextSymptoms, prevention, how to get tested and what to do if you get Sophie Gregoire Trudeau tests positive for COVID-19: PMO‘I will be back on my feet soon’ Take COVID-19 seriously, says B.C. doctorCranbrook’s top emergency doctor stresses importance of working together to protect one another BC Hockey cancels all provincial championships due to COVID-19 outbreakIn B.C., provincial hockey championships were slated to begin this Sunday, March 15 B.C. child killer has had 20 escorted trips in public: annual hearingAllan Schoenborn has been held at the hospital since 2010 after being convicted of killing Most Read B.C. farmland regulations allow return to local decision-making Property owners still can’t apply to Agricultural Land Commission BC Hockey cancels all provincial championships due to COVID-19 outbreak In B.C., provincial hockey championships were slated to begin this Sunday, March 15 Hollywood braces for shutdown, Broadway goes dark amid COVID-19 pandemic Hollywood moved to pause the normal hum of TV productions Artist Sheila Warren is inspired by the natural world Nanoose Bay painter lets passion be her guide Edible straws one B.C. entrepreneur’s latest weapon in war against plastic Kat Gellerman has spent more than 20 years working in the food business BC Rugby suspends weekend games, any out-of-province travel over COVID-19 League taking cautious approach in wake of pandemic status Researchers and health workers further vaccine development, drive-thru testing Meanwhile, researchers in Ontario announced they isolated the COVID-19 virus on Thursday Explore Grand Forks Gazette NEWSSPORTSTRENDING NOWBUSINESSENTERTAINMENTLIFECOMMUNITYOPINIONVIDEOSWEATHEROBITUARIESSPECIAL SECTIONSMARKETPLACECONTESTSCONTACT US BLACK PRESS MEDIA Nelson Star Trail Times Castlegar News Rossland News Boundary Creek Times Arrow Lakes News Revelstoke Review Contact UsOur TeamPrivacy PolicyTerms of useSite MapGrand Forks NewsGrand Forks WeatherGrand Forks Classifieds © 2020, Grand Forks Gazette and Black Press Group Ltd. 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Centre eyes artificial intelligence to modernize the federal hunt for dirty cash
Centre eyes artificial intelligence modernize federal hunt dirty cash Grand Forks Gazette Home Submit News Tip News Local News Municipal Election BC Federal Election 2019 Canada World eEditions Submit news tip photo Coronavirus News Subscription Now Link Account Renew Sports Local Grand Forks Border Bruins KIJHL BC Canada World Submit sports tip photo 2020 B.C. Winter Games Trending Now Newsletters Autos Classifieds Jobs Business Local BC Submit business tip photo Entertainment Local BC Submit entertainment tip photo Photo Galleries Life Life Sip Savour Wine Trails Submit life tip photo Community Local Miss BC Social Matters I Love British Columbia Calendar Submit community tip photo Opinion Local Opinion Editorials Columnists Letters Web poll BC Opinion Submit letter Videos Local Submit video Black Press TV Weather Obituaries Special Sections Marketplace Place ad Impress branded content Real Estate Contests Us Us Our Team Black Press Submit tip photo FAQ Terms use Site Map Local News Local News Coronavirus News Municipal Election BC Canada World eEditions Newsletters Coronavirus Autos Classifieds Obituaries Celebrations Life Funeral Care Services Video eEditions Jobs Us Our Team Submit news tip photo Marketplace Place ad Impress Real Estate Home Submit News Tip News Local News Municipal Election BC Federal Election 2019 Canada World eEditions Submit news tip photo Coronavirus News Subscription Now Link Account Renew Sports Local Grand Forks Border Bruins KIJHL BC Canada World Submit sports tip photo 2020 B.C. Winter Games Trending Now Newsletters Autos Classifieds Jobs Business Local BC Submit business tip photo Entertainment Local BC Submit entertainment tip photo Photo Galleries Life Life Sip Savour Wine Trails Submit life tip photo Community Local Miss BC Social Matters I Love British Columbia Calendar Submit community tip photo Opinion Local Opinion Editorials Columnists Letters Web poll BC Opinion Submit letter Videos Local Submit video Black Press TV Weather Obituaries Special Sections Marketplace Place ad Impress branded content Real Estate Contests Us Us Our Team Black Press Submit tip photo FAQ Terms use Site Map Centre eyes artificial intelligence modernize federal hunt dirty cash Overall, centre disclosed 2,276 pieces financial intelligence police security agencies The Canadian PressMar. 13, 2020 7:00 a.m.News The federal antimoney laundering centre exploring artificial intelligence machine learning help sort deluge data hunt hidden dirty cash. In annual report public Wednesday, Financial Transactions Reports Analysis Centre Canada, known Fintrac, says rapid change global financial system, spurred quickly evolving technology, challenge opportunity. Fintrac says technology help money launderers create efficient effective ways business enforcement agencies. The federal centre tries pinpoint cash linked money laundering terrorism sifting millions pieces information annually banks, insurance companies, securities dealers, money service businesses, real estate brokers, casinos others. Overall, centre disclosed 2,276 pieces financial intelligence police security agencies RCMP Canadian Security Intelligence Service year. Of these, 1,702 related money laundering, 373 terrorism financing threats security Canada, 201 combination these. Fraud, drugs tax evasion common offences linked disclosures. Many drugrelated ones involved movement money related deadly fentanyl. The recipients information RCMP, municipal police forces CSIS. In December, Fintrac warned casinos scrutinize customers pay gaming bank drafts latest method choice criminals trying disguise tainted money. The agency published alert Project Athena, RCMPled publicprivate partnership aimed disrupting moneylaundering activity British Columbia Canada. The initiative modelled previous efforts targeting fentanyl trade, romance fraud human trafficking. B.C. launched public inquiry money laundering May series independent reviews revealed billions dollars laundered provinces casinos, real estate market sectors. B.C. second Ontario provinces number financial intelligence disclosure packages received Fintrac 201819. The federal centre depends sophisticated technology receive, store secure 25 million new financial transaction reports year. Filtering analyzing information generate useful intelligence possible modern systems manage high volume data, connections produce needed results, realtime close it, report says. Over past year, centre engaged research consultation aimed better understanding advantage new evolving technology, particularly relation machine learning artificial intelligence. Fintrac begun comprehensive review modernization effort ensure timely use data. Jim Bronskill , The Canadian Press Like Facebook follow Twitter. money laundering Get local stories wont right inbox. Sign Previous story Sophie Gregoire Trudeau tests positive COVID19: PMO Next story Chinese allow Michael Kovrig telephone sick father amid COVID19 Just Posted MP Richard Cannings selfisolation attending Toronto mining conferenceHe group MPs ministers including Prime Minister Trudeau taking similar precautions COVID19: Province bans large gatherings B.C.Health officials new measures combat spread novel coronavirus Coronavirus spread prompts Selkirk College letter studentsWe stop COVID19, plan deal it. Unbeaten Boundary Midget Predators win league home iceThe Predators trounced secondplace Casltegar final, score 72 Trudeau promises 1 billion COVID19 research, resilienceMeasures easier people stay home sick QUIZ: Are feeling unlucky?There superstitions surrounding Friday 13th. See know traditions Researchers health workers vaccine development, drivethru testingMeanwhile, researchers Ontario announced isolated COVID19 virus Thursday Centre eyes artificial intelligence modernize federal hunt dirty cashOverall, centre disclosed 2,276 pieces financial intelligence police security agencies QUIZ: Are feeling unlucky?There superstitions surrounding Friday 13th. See know traditions Do think COVID19? Here nextSymptoms, prevention, tested Sophie Gregoire Trudeau tests positive COVID19: PMOI feet soon Take COVID19 seriously, says B.C. doctorCranbrooks emergency doctor stresses importance working protect BC Hockey cancels provincial championships COVID19 outbreakIn B.C., provincial hockey championships slated begin Sunday, March 15 B.C. child killer 20 escorted trips public: annual hearingAllan Schoenborn held hospital 2010 convicted killing Most Read B.C. farmland regulations allow return local decisionmaking Property owners apply Agricultural Land Commission BC Hockey cancels provincial championships COVID19 outbreak In B.C., provincial hockey championships slated begin Sunday, March 15 Hollywood braces shutdown, Broadway goes dark amid COVID19 pandemic Hollywood moved pause normal hum TV productions Artist Sheila Warren inspired natural world Nanoose Bay painter lets passion guide Edible straws B.C. entrepreneurs latest weapon war plastic Kat Gellerman spent 20 years working food business BC Rugby suspends weekend games, outofprovince travel COVID19 League taking cautious approach wake pandemic status Researchers health workers vaccine development, drivethru testing Meanwhile, researchers Ontario announced isolated COVID19 virus Thursday Explore Grand Forks Gazette NEWSSPORTSTRENDING NOWBUSINESSENTERTAINMENTLIFECOMMUNITYOPINIONVIDEOSWEATHEROBITUARIESSPECIAL SECTIONSMARKETPLACECONTESTSCONTACT US BLACK PRESS MEDIA Nelson Star Trail Times Castlegar News Rossland News Boundary Creek Times Arrow Lakes News Revelstoke Review UsOur TeamTerms useSite MapGrand Forks NewsGrand Forks WeatherGrand Forks Classifieds 2020, Grand Forks Gazette Black Press Group Ltd. 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"edible", "straws", "entrepreneurs", "latest", "weapon", "war", "plastic", "kat", "gellerman", "spent", "years", "working", "food", "business", "bc", "rugby", "suspends", "weekend", "games", "outofprovince", "travel", "covid", "league", "taking", "cautious", "approach", "wake", "pandemic", "status", "researchers", "health", "workers", "vaccine", "development", "drivethru", "testing", "researchers", "ontario", "announced", "isolated", "covid", "virus", "thursday", "explore", "grand", "forks", "gazette", "black", "press", "media", "nelson", "star", "trail", "times", "castlegar", "news", "rossland", "news", "boundary", "creek", "times", "arrow", "lakes", "news", "revelstoke", "review", "usour", "teamterms", "usesite", "mapgrand", "forks", "newsgrand", "forks", "weathergrand", "forks", "classifieds", "grand", "forks", "gazette", "black", "press", "group", "close", "ad" ]
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https://dailyscience.me/2020/04/13/global-artificial-intelligence-ai-in-food-and-beverage-market-2025-expected-to-grow-with-highest-cagr-aboard-software-analytical-flavor-systems-deepnify-impactvision-intelligentx-brewing-notco/
2020-04-13T00:00:00
en
Global Artificial Intelligence (AI) in Food and Beverage Market 2025 Expected to grow with highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo – Daily Science
Global Artificial Intelligence (AI) in Food and Beverage Market 2025 Expected to grow with highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo – Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Contact Global Artificial Intelligence (AI) in Food and Beverage Market 2025 Expected to grow with highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo April 13, 2020  |  No Comments This detailed research report on the Global Artificial Intelligence (AI) in Food and Beverage Market offers a concrete and thorough assorted compilation of systematic analysis, synthesis, and interpretation of data gathered about the Artificial Intelligence (AI) in Food and Beverage Market from a range of diverse arrangement of reliable sources and data gathering points. The report provides a broad segmentation of the market by categorizing the market into application, type, and geographical regions. In addition, the information has analysed with the help of primary as well as secondary research methodologies to offer a holistic view of the target market. Likewise, the Artificial Intelligence (AI) in Food and Beverage Market report offers an in-house analysis of global economic conditions and related economic factors and indicators to evaluate their impact on the Artificial Intelligence (AI) in Food and Beverage Market historically. This study covers following key players: Aboard Software Analytical Flavor Systems Deepnify ImpactVision IntelligentX Brewing NotCo Sight Machine Request a sample of this report @ https://www.orbismarketreports.com/sample-request/61662?utm_source=Puja The report is a mindful assortment of vital factors that lend versatile cues on market size and growth traits, besides also offering an in-depth section on opportunity mapping as well as barrier analysis, thus encouraging report readers to incur growth in global Artificial Intelligence (AI) in Food and Beverage Market. This detailed report on Artificial Intelligence (AI) in Food and Beverage Market largely focuses on prominent facets such as product portfolio, payment channels, service offerings, applications, in addition to technological sophistication. All the notable Artificial Intelligence (AI) in Food and Beverage Market specific dimensions are studied and analysed at length in the report to arrive at conclusive insights. Apart from highlighting these vital realms, the report also includes critical understanding on notable developments and growth estimation across regions at a global context in this report on Artificial Intelligence (AI) in Food and Beverage Market. Besides these aforementioned factors and attributes of the Artificial Intelligence (AI) in Food and Beverage Market, this report specifically decodes notable findings and concludes on innumerable factors and growth stimulating decisions that make this Artificial Intelligence (AI) in Food and Beverage Market a highly profitable. A thorough take on essential elements such as drivers, threats, challenges, opportunities are thoroughly assessed and analysed to arrive at logical conclusions. Additionally, a dedicated section on regional overview of the Artificial Intelligence (AI) in Food and Beverage Market is also included in the report to identify lucrative growth hubs. These leading players are analysed at length, complete with their product portfolio and company profiles to decipher crucial market findings. Access Complete Report @ https://www.orbismarketreports.com/global-artificial-intelligence-ai-in-food-and-beverage-market-size-status-and-forecast-2019-2025-2?utm_source=Puja Market segment by Type, the product can be split into Hardware Software Services Market segment by Application, split into Transportation and logistics Quality Control Production Planning The report also lists ample correspondence about significant analytical practices and industry specific documentation such as SWOT and PESTEL analysis to guide optimum profits in Artificial Intelligence (AI) in Food and Beverage Market. In addition to all of these detailed Artificial Intelligence (AI) in Food and Beverage Market specific developments, the report sheds light on dynamic segmentation based on which Artificial Intelligence (AI) in Food and Beverage Market has been systematically split into prominent segments encompassing type, application, technology, as well as region specific segmentation of the Artificial Intelligence (AI) in Food and Beverage Market. Some Major TOC Points: 1 Report Overview 2 Global Growth Trends 3 Market Share by Key Players 4 Breakdown Data by Type and Application … Continued For Enquiry before buying report @ https://www.orbismarketreports.com/enquiry-before-buying/61662?utm_source=Puja About Us : With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation. Contact Us : Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 Author Recent Posts vaibhav Latest posts by vaibhav (see all) Global Automotive Fleet Leasing Market expected to grow USD XX.X million by 2025 , at a CAGR of X.X% during forecast period: Glesby Marks, LeasePlan Corporation, AutoFlex AFV, Velcor Leasing Corporation, Caldwell fleet leasing, Wheel - April 13, 2020 Global Green Walls Market 2025 potential scope for growth in the years: SACNDIA MOSS, Butong, ByNaturedesign, Déco Végétale, PLANTE STABILISEE, POLARMOSS - April 13, 2020 Global Swimming Pool Filtration Devices Market 2025 Expected to reach HIghest CAGR : ZODIAC, Pahlen, Hayward, Maytronics, Davey Water Products, LUXE Pools - April 13, 2020 Post navigation ← Global Arcade Gaming Market 2025 maximum benefit and growth potential : CXC Simulations, Eleetus, NAMCO, SEGA, D-BOX Technologies, Vesaro Global Attendance Management System Market 2025 current as well as the future challenges: ADP, Kronos, Reflexis Systems, SAP, Tyco, Acumen Data Systems → About us and contact About Contact Disclaimer Our Writers Privacy Policy Terms and Conditions Recent Posts Global Automotive Fleet Leasing Market expected to grow USD XX.X million by 2025 , at a CAGR of X.X% during forecast period: Glesby Marks, LeasePlan Corporation, AutoFlex AFV, Velcor Leasing Corporation, Caldwell fleet leasing, Wheel Global Green Walls Market 2025 potential scope for growth in the years: SACNDIA MOSS, Butong, ByNaturedesign, Déco Végétale, PLANTE STABILISEE, POLARMOSS Global Swimming Pool Filtration Devices Market 2025 Expected to reach HIghest CAGR : ZODIAC, Pahlen, Hayward, Maytronics, Davey Water Products, LUXE Pools Global Steel Structural Design Software Market 2025 In-depth coverage and various important aspects: Autodesk, Tekla, RSTAB, Edilus Steel, RAM Steel Global Woodworking Design Software Market 2025 current as well as the future challenges: Artlantis, DLUBAL, FINE, GRAITEC, BOCAD SERVICE INTERNATIONAL, Data Design System Global Airport IT Systems Market 2025 Expected to grow with highest CAGR: Resa airport data systems, Amadeus IT Group, Rockwell Collins, INFORM, Siemens, IBM Global Automated Weapon System Market 2025 maximum benefit and growth potential : BAE Systems, Northrop Grumman, Lockheed Martin Corporation, Israel Aerospace Industries, Boston Dynamics, Aerovironment Global Contract Manufacturing Services Market expected to grow USD XX.X million by 2025 , at a CAGR of X.X% during forecast period: Coghlin Companies, Foxconn, FLEX, Jabil Circuit, Inc., Sanmina-SCI Global Keywiord Market 2020 – Increasing Demand With Leading Key Players, Detailed Analysis, Trends Global Cargo Inspection Market 2025 potential scope for growth in the years: SGS Group, Bureau Veritas, Intertek Group, ALS Limited, Cotecna, Alex Stewart International ClOSE SIDEBAR OPEN SIDEBAR Copyright Daily Science 2019 | Sendy review 2020
Global Artificial Intelligence (AI) in Food and Beverage Market 2025 Expected to grow with highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo
Global Artificial Intelligence AI Food Beverage Market 2025 Expected grow highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Global Artificial Intelligence AI Food Beverage Market 2025 Expected grow highest CAGR: Aboard Software, Analytical Flavor Systems, Deepnify, ImpactVision, IntelligentX Brewing, NotCo April 13, 2020 No Comments This detailed research report Global Artificial Intelligence AI Food Beverage Market offers concrete thorough assorted compilation systematic analysis, synthesis, interpretation data gathered Artificial Intelligence AI Food Beverage Market range diverse arrangement reliable sources data gathering points. The report provides broad segmentation market categorizing market application, type, geographical regions. In addition, information analysed help primary secondary research methodologies offer holistic view target market. Likewise, Artificial Intelligence AI Food Beverage Market report offers inhouse analysis global economic conditions related economic factors indicators evaluate impact Artificial Intelligence AI Food Beverage Market historically. This study covers following key players: Aboard Software Analytical Flavor Systems Deepnify ImpactVision IntelligentX Brewing NotCo Sight Machine Request sample report @ The report mindful assortment vital factors lend versatile cues market size growth traits, offering indepth section opportunity mapping barrier analysis, encouraging report readers incur growth global Artificial Intelligence AI Food Beverage Market. This detailed report Artificial Intelligence AI Food Beverage Market largely focuses prominent facets product portfolio, payment channels, service offerings, applications, addition technological sophistication. All notable Artificial Intelligence AI Food Beverage Market specific dimensions studied analysed length report arrive conclusive insights. Apart highlighting vital realms, report includes critical understanding notable developments growth estimation regions global context report Artificial Intelligence AI Food Beverage Market. Besides aforementioned factors attributes Artificial Intelligence AI Food Beverage Market, report specifically decodes notable findings concludes innumerable factors growth stimulating decisions Artificial Intelligence AI Food Beverage Market highly profitable. A thorough essential elements drivers, threats, challenges, opportunities thoroughly assessed analysed arrive logical conclusions. Additionally, dedicated section regional overview Artificial Intelligence AI Food Beverage Market included report identify lucrative growth hubs. These leading players analysed length, complete product portfolio company profiles decipher crucial market findings. Access Complete Report @ Market segment Type, product split Hardware Software Services Market segment Application, split Transportation logistics Quality Control Production Planning The report lists ample correspondence significant analytical practices industry specific documentation SWOT PESTEL analysis guide optimum profits Artificial Intelligence AI Food Beverage Market. In addition detailed Artificial Intelligence AI Food Beverage Market specific developments, report sheds light dynamic segmentation based Artificial Intelligence AI Food Beverage Market systematically split prominent segments encompassing type, application, technology, region specific segmentation Artificial Intelligence AI Food Beverage Market. Some Major TOC Points: 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application Continued For Enquiry buying report @ : With unfailing market gauging skills, excelling curating tailored business intelligence data industry verticals. Constantly thriving expand skill development, strength lies dedicated intellectuals dynamic problem solving intent, willing mold boundaries scale heights market interpretation. Us : Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Author Recent Posts vaibhav Latest posts vaibhav Global Automotive Fleet Leasing Market expected grow USD XX.X million 2025 , CAGR X.X forecast period: Glesby Marks, LeasePlan Corporation, AutoFlex AFV, Velcor Leasing Corporation, Caldwell fleet leasing, Wheel April 13, 2020 Global Green Walls Market 2025 potential scope growth years: SACNDIA MOSS, Butong, ByNaturedesign, Dco Vgtale, PLANTE STABILISEE, POLARMOSS April 13, 2020 Global Swimming Pool Filtration Devices Market 2025 Expected reach HIghest CAGR : ZODIAC, Pahlen, Hayward, Maytronics, Davey Water Products, LUXE Pools April 13, 2020 Post navigation Global Arcade Gaming Market 2025 maximum benefit growth potential : CXC Simulations, Eleetus, NAMCO, SEGA, DBOX Technologies, Vesaro Global Attendance Management System Market 2025 current future challenges: ADP, Kronos, Reflexis Systems, SAP, Tyco, Acumen Data Systems About contact About Disclaimer Our Writers Recent Posts Global Automotive Fleet Leasing Market expected grow USD XX.X million 2025 , CAGR X.X forecast period: Glesby Marks, LeasePlan Corporation, AutoFlex AFV, Velcor Leasing Corporation, Caldwell fleet leasing, Wheel Global Green Walls Market 2025 potential scope growth years: SACNDIA MOSS, Butong, ByNaturedesign, Dco Vgtale, PLANTE STABILISEE, POLARMOSS Global Swimming Pool Filtration Devices Market 2025 Expected reach HIghest CAGR : ZODIAC, Pahlen, Hayward, Maytronics, Davey Water Products, LUXE Pools Global Steel Structural Design Software Market 2025 Indepth coverage important aspects: Autodesk, Tekla, RSTAB, Edilus Steel, RAM Steel Global Woodworking Design Software Market 2025 current future challenges: Artlantis, DLUBAL, FINE, GRAITEC, BOCAD SERVICE INTERNATIONAL, Data Design System Global Airport IT Systems Market 2025 Expected grow highest CAGR: Resa airport data systems, Amadeus IT Group, Rockwell Collins, INFORM, Siemens, IBM Global Automated Weapon System Market 2025 maximum benefit growth potential : BAE Systems, Northrop Grumman, Lockheed Martin Corporation, Israel Aerospace Industries, Boston Dynamics, Aerovironment Global Contract Manufacturing Services Market expected grow USD XX.X million 2025 , CAGR X.X forecast period: Coghlin Companies, Foxconn, FLEX, Jabil Circuit, ., SanminaSCI Global Keywiord Market 2020 reasing Demand With Leading Key Players, Detailed Analysis, Trends Global Cargo Inspection Market 2025 potential scope growth years: SGS Group, Bureau Veritas, Intertek Group, ALS Limited, Cotecna, Alex Stewart International ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020
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https://www.wired.com/story/light-hand-ai-hard-line-china/
2020-01-14T00:00:00
en
The Case for a Light Hand With AI and a Hard Line on China | WIRED
The Case for a Light Hand With AI and a Hard Line on China | WIRED Skip to main contentOpen Navigation MenuMenuThe Case for a Light Hand With AI and a Hard Line on ChinaBusinessCultureGearIdeasScienceSecurityTransportationMoreChevronSign InSubscribeSearchSearchBusinessCultureGearIdeasScienceSecurityTransportationNicholas Thompson Business01.14.2020 03:00 PMThe Case for a Light Hand With AI and a Hard Line on ChinaIn a WIRED Q&A, the US chief technology officer warns against overregulating tech, underestimating the Chinese, and losing America's lead in quantum computing.FacebookTwitterEmail“If we're too heavy handed with artificial intelligence, we end up stifling entire industries,” says US CTO Michael Kratsios, left.Photograph: Kevin PortilloFacebookTwitterEmailLast week, at the WIRED HQ at CES, I spoke with Michael Kratsios, the chief technology officer of the United States. We dug into the government’s recent regulatory framework for AI, the potential for an AI cold war with China, and whether or not the NSA is building a quantum computer. The conversation has been lightly edited for clarity.Nicholas Thompson: You've just laid out a memorandum to the heads of executive departments and agencies on how to regulate artificial intelligence. Why don’t you give us the quick top-line summary of what you've done and why it matters?Michael Kratsios: Yeah, absolutely. To kind of step back a second, this requires a little bit of context to see where this fits into the larger effort we've been making as a country.Beginning in 2017, we identified some of the core emerging technologies that we need to ensure American leadership. First and foremost was artificial intelligence. And we launched the US national strategy on AI beginning last year, called the American AI Initiative. And the American AI Initiative really is a whole-of-government approach to ensuring American leadership in AI and consists of four key areas: One is research and development leadership, two is workforce, three is regulations, and four is international engagement.Now for each of those pillars, we continued to work very diligently over the last year. And then the big announcement that came out yesterday was on that third pillar of regulations. We want to create an environment where it’s the United States that encourages and drives entrepreneurs to make next-generation AI discoveries here in the US. We want to do that in a way that's still true to the values that we as Americans hold dear, those of privacy and civil rights and freedoms. And in order to do that, we developed this regulatory memo. What this memo essentially does, this is a direction from the White House to agencies that regulate AI-powered technologies and gives them considerations or more guidance as to how we should do that.“Look, if we want the West to lead the next generation to commercial discoveries, we have to have the regulatory systems where all of our leaders understand.”Michael Kratsios, US chief technology officerSo in our system, we have lots of agencies that touch AI-powered technology. You could be at the Food and Drug Administration looking at AI-powered medical diagnostics, and those need to be approved. You can be at the [Federal Aviation Administration] and dealing with drones that are flying, or the [Department of Transportation] looking at autonomous vehicles. Each of those agencies is dealing with an AI-powered technology, but they need to have some flexibility in the way they approach the regulation of that particular AI-powered tech. So what our memo does is essentially provide 10 principles that they should be focusing on. And that's out for comment now in the community; we're excited to get comments back on how we can improve this in the next 60 days, and then, once the memo is final, any time an agency is attempting to put forward a regulation impacting our technology, they must essentially comply.NT: So my quick summary of the memo—you can tell me whether this is accurate or not—is: AI is important, there are lots of really hard questions involved, please don't overregulate and fuck this up.MK: That's about right, yes. Generally there are three main categories of considerations that agencies should have. The first is to ensure public engagement. First and foremost, we recognize as bureaucrats in Washington that we don't have all the answers, that even if we pull the best people together from all across government to sit down and think about what are the AI regulatory considerations you have for the next-generation autonomous vehicle, we don't have the right answers. So first and foremost, we're directing all of our agencies, when they are moving forward with regulating AI, to call a committee, go talk to the community, have stakeholder meetings, bring people to Washington to discuss it with them.Number two is to promote this light-touch regulatory approach, this idea that if we're too heavy-handed with artificial intelligence, we end up stifling entire industries that we want to make sure to foster and generate here in the United States. And the last, and I think this is the one that tends to get the most coverage, is this idea of promoting trustworthy AI. We want Americans who interact with these technologies in the private sector to trust them. Like when you go and take a prescription drug, you have confidence that the FDA has done a very thorough process ensuring that that drug is safe. We want to make sure the same thinking goes into play with types of AI technology.AdvertisementNT: So let's talk through a couple of specific examples. The NHTSA has come under a certain amount of pressure for not regulating AI vehicles. So Uber had a vehicle, self-driving car, hit someone and killed them; Tesla's autopilot has been involved in a number of accidents. NHTSA and DOT have not taken aggressive action. So if I'm working at one of those places today, and I read this, I kind of feel like I'm in the right place, is that right?MK: No, I think what it provides is some guidance back to the agencies like DOT. When you think about cars right now, you know, any American company can't produce an autonomous vehicle and put it on the street; we're still in the testing mode. And I think that plays very much into the general theme of this model where you have to be able to test these technologies safely, and hopefully this will provide further guidance, so that as these testing opportunities are presented around the country, DOT and other agencies will be asking the right questions.NT: So let me give you another example of how to think about it. We recently ran a story in WIRED about an algorithm in the health care system that would evaluate patient risk and potential patient cost, and it turned out that it was biased against black people. The experience of being black in America raises all kinds of obstacles to, for example, following up on a suggested x-ray from your doctor. So the algorithm, even though race hadn't been encoded into it, turned out to be racist. So if I'm at [the Department of Health and Human Services], and I'm trying to figure out a policy for nonracist algorithms, how does this memo help me think through that question?MK: Well, as you know, unlawful discrimination is unlawful to begin with. So whether this memo existed or not, that is illegal. You can't do that.NT: So it's illegal if the outcome is racist, even if there's no input that has to do with the race and the creators of the algorithm had no idea what it was going to do?MK: Yeah, absolutely. I think what this memo provides is some guidance to the agencies to ask those tough questions that may not have been considered otherwise. And as you're attempting to create a regulatory process for potentially approving some sort of medical diagnostic, which could potentially introduce some sort of racial bias, these are the types of questions that regulators must be asking, and do the right cost-benefit analysis and testing of that particular technology to make sure that whatever comes out actually does comply with the law.NT: But it seems like the implication of this memo is, go ahead and push the algorithm live, right? We don't want to stop you from trying to innovate with AI outcomes that can massively improve patient care. So you're not saying you have to test them and make sure that every outcome doesn't have disparate racial impact, right?MK: So generally speaking, I think this provides flexibility to the agencies to develop agency-specific processes for their regulation. If you are dealing with life-and-death situations relating to patients, the process that you're going to undertake in order to check and validate the outcome of that particular algorithm is very different than some other instances. So what we want to do is introduce the right questions to the agencies. And what this memo actually strives for is encouraging agencies to come back to the White House and report to us how they are going to be implementing this memo in their regulatory process. If we do that back-and-forth with the agency, there will be a better sense of the ones that make more impactful decisions while approaching the regulation of those technologies in a much different fashion.AdvertisementNT: So one of the possible ways you could have written the memo was to say, “Bias and AI is a huge issue, you must be sure before any AI algorithm goes live and we are able to test it, make sure it doesn't have disparate impact, that we need to make sure it has explainability.” And you have not done that. You said, “These are the values that are important. This is how you need to test. Here's a framework for how you regulate and how you think about it.”MK: Yes, yeah.NT: This memo is very United States–specific, and now we have opted out of working on guidelines across Western countries. We're not participating in the various governing bodies across multiple countries. Why is that, or will we do that?MK: Well, that assertion could not be further from the truth. The United States joined the OECD in Paris just last May. And at our lead, we got the OECD nations, which are the largest democratic nations in the world, to come together and agree to AI principles. This was an example where, in an administration that is very cautious oftentimes with multilateral agreements, we were able to step in and say it's particularly important that the West comes together on the way that we should be looking at regulation or oversight of artificial intelligence. And we pushed forward the AI principles, and we agreed to them last May. Now this is the next step, where now each country in the OECD, who has signed on to these principles has a very tough and challenging question of how they're able to implement these high-level principles, using their own domestic system of regulation processes. And we're one of the first out of the gates to do this. More generally in technology, the US has sort of been in wait-and-see mode with most regulations—take GDPR as an example.This is a great example where we're leading the pack, and hopefully over the next couple months, we will take this on the road, go to Europe, talk to regulators there, and say, "Look, if we want the West to lead the next generation of [technological] discoveries, we have to have the regulatory systems that all of our [innovators] understand.” We can do that with this memo.NT: Let's get into the issue of China, which I think is underlying some of this memo and some of your previous statements. And, honestly, maybe the most important question in tech in the world. So do you think that AI right now is better at enabling authoritarianism or democracy?There's an argument that AI is kind of a centralizing force, right? What makes AI good, in part, with machine learning is having lots of data, and centralized governments have more control over the data, so there's a real fear that as AI becomes more important in economies, it will actually be the authoritarian governments that get the advantage. A counterargument of course would be, it's basically businesses, and business innovation tends to come in democratic countries. So tell me where you think AI is prospering the most and how you think about the balance of AI in authoritarianism and democracy?MK: Well, what we're seeing is that authoritarian regimes around the world have not hesitated to attempt to leverage artificial intelligence to pursue their agendas. China is one of the best examples and an obvious one. It's a place where China's Communist Party has essentially twisted this technology in a way that, to many in the West, is extraordinarily frightening. When AI is used to track people, to identify ethnic minorities, to imprison them in concentration camps, it's extraordinarily disturbing and troubling. And this is something that we have been speaking about across the administration. And not just for me, it's something that we as the West really need to stand up to. And I think the imperative of Western leadership in technology could not be more important. We need to lead the world, the next generation of technological discovery, because if we don't, it's going to be these authoritarian regimes that are going to be driving and inserting their values into the process.AdvertisementThat being said, we all know here, as people who love technology, the power of artificial intelligence and other technologies to fundamentally change the world for the better. We know that, we can see it in front of us, when we have autonomous vehicles on the road and the disabled and the elderly can get to places, where there aren't as many people who are dying on the streets, and because of these, it can be a really big deal. And for us, we don't want to stifle that innovation here in the United States, just because other people are using it for nefarious purposes. It makes our need to lead the world even more important.“What we're seeing is that authoritarian regimes around the world have not hesitated to attempt to leverage artificial intelligence to pursue their agendas.”Michael Kratsios, US chief technology officer.NT: So your fear is that if we don't lead, if we don't get the regulations right, if we fall behind in AI, AI will essentially be baked in an authoritarian way.MK: Yes, absolutely. And that's why I think—NT: And what exactly does that mean?MK: It means that these authoritarian regimes are trying to guide and drive this development, and will attempt to export those values abroad. And if they're the ones making the next great technological discoveries, they will be the ones dictating types of technologies that everyone will want to get their hands on. And that's not something we believe is going to be good for the world generally, certainly not for America. So for us, we think American leadership and Western leadership broadly on technologies is important.NT: OK, so let's accept that premise; and I do very much accept that premise. Then the question is, what steps do you take? The steps that the White House has taken have very much been to split the US off from China, at least as I read it, right? You take the major Chinese AI companies that have been involved in surveilling the Uighurs so they can't do business with American companies. You've taken other Chinese tech companies, not for particular surveillance reasons, but for belief that they have backdoors for the Chinese government, you put Huawei on the entities list, meaning that Huawei can no longer work with US companies. So it has really been a split. Why is splitting the United States and China the proper way to deal with this problem as opposed to trying to integrate?MK: The reality is our general strategy has been one to promote and protect. There's no way that we can ensure leadership without doing both. So you highlighted a couple of our techniques to make sure that our networks in the United States are secure and that when you get on your phone you know that that information is safe and secure. And we know as government networks that that information is safe and secure.On the promote side is where I think we're leaning in harder than we ever have before. And I think it's equally as important as protection. So on the promote side, some of the stuff that we're doing has been focused a lot on research and development. The US is spending more on research and development, the federal government, than any time before in the history of this country. The president signed the largest R&D budget in history last December before Christmas break. As part of the American AI initiative, for the first time in history, we're actually tracking AI R&D across all agencies. So what makes the United States so unique is that we don't have a Ministry of Science, we have Darpa doing incredible work, we have the National Science Foundation doing incredible work, the Department of Energy, where there's 16 national labs, and so on. And on our first tally, our 2020 budget, we had really a billion nondefense unclassified dollars being spent on AI, and that's going to increase even more in years to come. So that's one.Number two is our huge emphasis on workforce development. Right now, the United States has the lowest unemployment rate in a very, very long time. And we're seeing across the board areas where we can prepare American workers for next-generation jobs. That's something we've emphasized to all of our programs, this idea of training the next generation of AI researchers here in the United States. So we have prioritized grants, fellowships, and dollars that the federal government has to sponsor students to pursue graduate degrees in the US. Now they're prioritizing for two years. So there are a lot of instances of this promote side, and it's balanced with all the protective measures.AdvertisementNT: I want to stick with protect, because I totally agree with all the promotion. I wish there was even more promote. I'm totally, all the money you can put in AI, all the great AI research you can bring here, totally down with that. But that'd be boring. But with the protect, I feel like there may be more of a disagreement. So what could the Chinese government do that would—I mean if the Chinese government were to credibly say, "We are no longer using AI to surveil the Uighurs, we are no longer using AI to suppress people and track protesters," would that change your policy?Keep ReadingThe latest on artificial intelligence, from machine learning to computer vision and moreMK: Well if you read the notice that we sent out when those companies were added to the entities list, we cite those specific things. So if those in some alternate reality were not true anymore, then there would be no reason for them to be on the list.NT: So let's start with the implications of the entities list. So Huawei, one of the largest Chinese phone manufacturers, as a result of being put on the list is no longer going to use Android. They're going to develop their own operating system. And in fact, you go out on the floor and you talk to other Chinese companies, they say, "I don't know, we used to really want to work with the US companies. We used to really want to use Android. I mean, it's still great, but like once Huawei builds their OS, we're going to use that instead." So how is it in the US national interest to suddenly have hundreds of millions of phones around the world that don't have Android, but have Huawei OS?MK: The better question is, how is it in the US interest for Huawei to be part of our network, and to let an authoritarian regime that has attempted to undermine and compete with the United States have access to our technology. And I think that is a dramatically more—NT: But isn't that different? Can't you ban Huawei from being part of our 5G networks without putting it on the entities list?MK: The entities list is the legal path that makes the most sense. And as I said, I think it's critically important for the rest of the world to be a little more cognizant and understand the threats posed by these companies in particular. Their practices are well documented, from stealing IP and using these techniques around the world. This is not a company that any rational business person would want to do business with.NT: How worried are you that one of the implications will be, you know, something that we at WIRED have called the new Cold War, where there is a Chinese tech stack with Huawei 5G, and you know, Chinese-made phones running a Huawei OS. And there's a Western tech stack with Ericsson 5G, and Apple, Google, whatever it is. Does it worry you if you think about a future where we split that way? Or is that just the inevitable consequence of changing things?MK: I don't know if it's an inevitable consequence. I don't want to make a postulation of that magnitude. But again, I think the truth is, when you're dealing with players that are exhibiting this type of behavior, just ignoring them, ignoring your problem, is not the solution. And I think we as the West generally need to be a lot more open-eyed about the situation we're facing, and some of these operators, and their practices and use of this technology, is something that should concern us greatly.NT: So what is the best-case scenario for the relationship between the US and Chinese tech industries over, say, the next five years? Give me the best-case scenario, and give me your worst-case scenario.AdvertisementMK: I don't know about that. But I think we're excited with the phase-one trade deal that's coming together, and we're excited to morph into phase two. I think, ultimately, the Chinese are hopefully working as a big part of the larger global economic order, something that could benefit their people, just as we know it's benefited the West for years. And ultimately, I think we'll be able to present—NT: But let me ask you more specifically about—as the Trump administration has laid out all these policies, part of me has thought, I mean, it's us trying to get leverage, trying to get to a better position. You know, it's kind of like the recent assassination in Iran, where it's saying, "Look, you guys have crossed the red line. Huawei has done something we know is not considered acceptable. So we're going to raise the price of that." But the hope is they will reach a new and better relationship, right? That China will say, "OK fine, we will no longer steal your IP." China will feel the pain of all these companies being put on the entities list and will respond, and we'll reach a new equilibrium, where once again, the US and China do lots of business across the tech industry, and folks on the floor at CES aren't afraid of doing business with the US. And it's done on better terms, right? That this is partly just the US negotiating. Is that a fair way of looking at it? Is that the way you look at it? Or is that wrong?MK: No, I think that's pretty fair. I mean, the example that I always bring up is the WTO. We went in there believing that allowing China to enter the WTO in the 2000s would sort of transform the business practices that they exhibited into ones that conformed with the global order. And over the next almost 20 years, the exact opposite happened. And it's left the West in a very interesting bind, because it was the first time in history where we had this sort of status quo where everyone was doing the right thing, and then suddenly somebody stopped, and no one knew how to respond. And the mechanisms for keeping people in line and in order are not particularly efficient. We bring some sort of issue to the WTO, good luck getting that sorted within five years.So you know, I think what we face, especially in the tech domain is, we can't be so naive. When China came to the G20 in Tokyo, we decided to move ahead with the OECD AI principles and bake them into a [communique] coming out at the G20 ministers meeting in the summer. And the Chinese breached them. They're not practicing any of the principles. They literally are doing the exact opposite. And for us in the West to keep believing that somehow they're just going to miraculously change, I think is very, very much why we are using the particular tools that are being used by this administration. We finally have an administration that's actually doing something to protect the American innovator whose idea has been stolen and taken for decades.NT: So your position is, this may well move China to a better position where there's less ID theft, but that is not our expectation. We're more just finally reacting, and the US has taken way too long to do something.MK: We're reacting, but we expect that they will. Let's hope something will change.AdvertisementNT: So you do actually think that, if I could make up an answer to my question from a minute ago, the best-case scenario in two years would be a Chinese administration that has credibly agreed to stop ID theft, stop hacking us, stop surveilling, you know, violations of human rights through AI. And in return, these companies have been taken off the entities list, and we're able to do business in a normal way again. That might be the best case scenario?MK: Yeah, absolutely.NT: Well, let's go to the next topic on that happy note.LEARN MOREThe WIRED Guide to Quantum ComputingQuantum computing. So I know you're a big proponent of quantum computing, I know that you care a lot that the US gets the lead in quantum computing. Is the NSA working on a quantum computer?MK: I can speak for our civilian approach to quantum computing. One of our biggest legislative wins that we've seen at the end of last year was the signing of the quantum initiative. This was a great example of a bipartisan piece of legislation where folks on both sides of Congress came together and said, "Look, the US has to lead in this technology, and the negatives associated with the damage that could be done if we don't lead the world in this are so grave that we need to drive this effort. They committed the $1.2 billion over five years to this effort and to set up the National Quantum Coordination Office at the White House, and they've been moving ahead. So there's been announcements around quantum consortium centers, big stuff at the Department of Energy and other agencies. So we're very excited about this. We believe that it is the exact type of research and development that the federal government should be focused on. This is early-stage, precompetitive, basic research, where the incentive for the private sector to invest is actually much lower than with things like artificial intelligence. So these are the important dollars that taxpayers must be spending, because the private sector is not quite ready to make the big investment.NT: Sounds like a yes to my question! All right, great. So when you think about quantum computing, if I'm reading your answer, more seriously, it sounds like you would like the US private sector to make major advances in quantum computing, but you really do believe that this may be an area where it needs to be government investments, not just government encouragement of the private sector?MK: I think it's government encouragement of the private sector, but also there was recognition that there was a big chunk of basic early-stage research in quantum science that someone should be paying for, and there's no one really out there other than the federal government to do so. The federal government has been supporting early-stage, basic research for decades now. And some of the greatest technological discoveries have happened because of the federal government's focus on early-stage research, and we're seeing amazing programs at National Science Foundation, great stuff from our national labs, these ultimately will be commercialized and taken up by the private sector to drive.NT: So let's talk a minute about immigration. If you look at the companies in the US—Microsoft, Google—that are leading on quantum computing, they're run by immigrants. And the Trump administration does not have a reputation of welcoming immigrants from around the world. How do you change that perception? And how do you make sure that the smartest minds in the world come to America?MK: Absolutely. I would just read our immigration proposal at WhiteHouse.gov. I mean, we are pursuing, the president has been very vocal about a merit-based immigration system, one that supports and encourages the best and brightest from around the world to come to the United States. And there are other countries around the world that have merit-based systems, ones that provide more points or more benefits or better spots in the queue, if you will, if you have advanced degrees, if you have some sort of skill or merit, and that's what we want to do. And so I think this is one place where we're actually very aligned with the tech industry. We would love to see merit-based immigration, so they can have more of the best and brightest.AdvertisementNT: They're aligned with the policy of a merit-based system, and they're concerned about the rhetoric coming from the White House and the perception that the United States is no longer being a welcoming place. Clearly, you're not in charge of the rhetoric, you're more in charge of the policy, but is there anything that can be done to change that perception?MK: Well, I love to do talks like these. I love to go out there and speak to anyone who wants to listen. I deeply believe that America can and should be the home for the next generation of discoveries. My mother was an immigrant who came over from Greece. And I deeply believe that this is a country that has always welcomed immigrants. And I'm deeply excited about a president who's interested in driving a merit-based immigration system.NT: You work for the federal government, and elections are on the state level. But when will I be able to vote online?MK: I wish I had a good answer for you. You know, I think it would be great. Voting online would be fantastic. Obviously it's a state-run effort, and the more we can do maybe at the federal level of figuring out standards and giving technical assistance to a lot of these—NT: One of the huge problems will be where's it hosted, right? You could presumably figure out how to host state elections, or in a federal election, we could figure out how the US government could host servers for the states, right? There seem to be a lot of things you could do as White House CTO to make this work, and it would be great. So on a show of hands, who wants this man to make sure we get online voting in the United States?MK: It appears unanimous! I'll get on it!NT: Thank you very much to Michael Kratsios. Thanks so much for coming.More Great WIRED StoriesHollywood bets on a future of quick clips and tiny screensMind control for the masses—no implant neededHere's what the world will look like in 2030 ... right?Internet deception is here to stay—what do we do now?The war vet, the dating site, and the phone call from hell👁 Will AI as a field "hit the wall" soon? Plus, the latest news on artificial intelligence🏃🏽‍♀️ Want the best tools to get healthy? Check out our Gear team’s picks for the best fitness trackers, running gear (including shoes and socks), and best headphonesNicholas Thompson is the editor in chief of Wired. You can send him story tips at nxthompson@protonmail or via Twitter DM. 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The Case for a Light Hand With AI and a Hard Line on China
The Case Light Hand With AI Hard Line China WIRED Skip main contentOpen Navigation MenuMenuThe Case Light Hand With AI Hard Line ChinaBusinessCultureGearIdeasScienceSecurityTransportationMoreChevronBusinessCultureGearIdeasScienceSecurityTransportationNicholas Thompson Business01.14.2020 03:00 PMThe Case Light Hand With AI Hard Line ChinaIn WIRED QA, US chief technology officer warns overregulating tech, underestimating Chinese, losing Americas lead quantum computing.FacebookTwitterEmailIf heavy handed artificial intelligence, end stifling entire industries, says US CTO Michael Kratsios, left.Photograph: Kevin PortilloFacebookTwitterEmailLast week, WIRED HQ CES, I spoke Michael Kratsios, chief technology officer United States. We dug governments recent regulatory framework AI, potential AI cold war China, NSA building quantum computer. The conversation lightly edited clarity.Nicholas Thompson: Youve laid memorandum heads executive departments agencies regulate artificial intelligence. Why dont quick topline summary youve matters?Michael Kratsios: Yeah, absolutely. To kind step second, requires little bit context fits larger effort weve making country.Beginning 2017, identified core emerging technologies need ensure American leadership. First foremost artificial intelligence. And launched US national strategy AI beginning year, called American AI Initiative. And American AI Initiative wholeofgovernment approach ensuring American leadership AI consists key areas: One research development leadership, workforce, regulations, international engagement.Now pillars, continued work diligently year. And big announcement came yesterday pillar regulations. We want create environment United States encourages drives entrepreneurs nextgeneration AI discoveries US. We want way thats true values Americans hold dear, privacy civil rights freedoms. And order that, developed regulatory memo. What memo essentially does, direction White House agencies regulate AIpowered technologies gives considerations guidance that.Look, want West lead generation commercial discoveries, regulatory systems leaders understand.Michael Kratsios, US chief technology officerSo system, lots agencies touch AIpowered technology. You Food Drug Administration looking AIpowered medical diagnostics, need approved. You [Federal Aviation Administration] dealing drones flying, [Department Transportation] looking autonomous vehicles. Each agencies dealing AIpowered technology, need flexibility way approach regulation particular AIpowered tech. So memo essentially provide 10 principles focusing on. And thats comment community; excited comments improve 60 days, then, memo final, time agency attempting forward regulation impacting technology, essentially comply.NT: So quick summary memoyou tell accurate notis: AI important, lots hard questions involved, dont overregulate fuck up.MK: Thats right, yes. Generally main categories considerations agencies have. The ensure public engagement. First foremost, recognize bureaucrats Washington dont answers, pull best people government sit think AI regulatory considerations nextgeneration autonomous vehicle, dont right answers. So foremost, directing agencies, moving forward regulating AI, committee, talk community, stakeholder meetings, bring people Washington discuss them.Number promote lighttouch regulatory approach, idea heavyhanded artificial intelligence, end stifling entire industries want sure foster generate United States. And last, I think tends coverage, idea promoting trustworthy AI. We want Americans interact technologies private sector trust them. Like prescription drug, confidence FDA thorough process ensuring drug safe. We want sure thinking goes play types AI technology.AdvertisementNT: So lets talk couple specific examples. The NHTSA come certain pressure regulating AI vehicles. So Uber vehicle, selfdriving car, hit killed them; Teslas autopilot involved number accidents. NHTSA DOT taken aggressive action. So Im working places today, I read this, I kind feel like Im right place, right?MK: No, I think provides guidance agencies like DOT. When think cars right now, know, American company produce autonomous vehicle street; testing mode. And I think plays general theme model able test technologies safely, hopefully provide guidance, testing opportunities presented country, DOT agencies asking right questions.NT: So let example think it. We recently ran story WIRED algorithm health care evaluate patient risk potential patient cost, turned biased black people. The experience black America raises kinds obstacles to, example, following suggested xray doctor. So algorithm, race hadnt encoded it, turned racist. So Im [the Department Health Human Services], Im trying figure policy nonracist algorithms, memo help think question?MK: Well, know, unlawful discrimination unlawful begin with. So memo existed not, illegal. You that.NT: So illegal outcome racist, theres input race creators algorithm idea going do?MK: Yeah, absolutely. I think memo provides guidance agencies ask tough questions considered otherwise. And youre attempting create regulatory process potentially approving sort medical diagnostic, potentially introduce sort racial bias, types questions regulators asking, right costbenefit analysis testing particular technology sure comes actually comply law.NT: But like implication memo is, ahead push algorithm live, right? We dont want stop trying innovate AI outcomes massively improve patient care. So youre saying test sure outcome doesnt disparate racial impact, right?MK: So generally speaking, I think provides flexibility agencies develop agencyspecific processes regulation. If dealing lifeanddeath situations relating patients, process youre going undertake order check validate outcome particular algorithm different instances. So want introduce right questions agencies. And memo actually strives encouraging agencies come White House report going implementing memo regulatory process. If backandforth agency, better sense ones impactful decisions approaching regulation technologies different fashion.AdvertisementNT: So possible ways written memo say, Bias AI huge issue, sure AI algorithm goes live able test it, sure doesnt disparate impact, need sure explainability. And that. You said, These values important. This need test. Heres framework regulate think it.MK: Yes, yeah.NT: This memo United Statesspecific, opted working guidelines Western countries. Were participating governing bodies multiple countries. Why that, that?MK: Well, assertion truth. The United States joined OECD Paris May. And lead, got OECD nations, largest democratic nations world, come agree AI principles. This example where, administration cautious oftentimes multilateral agreements, able step particularly important West comes way looking regulation oversight artificial intelligence. And pushed forward AI principles, agreed May. Now step, country OECD, signed principles tough challenging question theyre able implement highlevel principles, domestic regulation processes. And gates this. More generally technology, US sort waitandsee mode regulationstake GDPR example.This great example leading pack, hopefully couple months, road, Europe, talk regulators there, say, Look, want West lead generation [technological] discoveries, regulatory systems [innovators] understand. We memo.NT: Lets issue China, I think underlying memo previous statements. And, honestly, maybe important question tech world. So think AI right better enabling authoritarianism democracy?Theres argument AI kind centralizing force, right? What makes AI good, part, machine learning lots data, centralized governments control data, theres real fear AI important economies, actually authoritarian governments advantage. A counterargument course be, basically businesses, business innovation tends come democratic countries. So tell think AI prospering think balance AI authoritarianism democracy?MK: Well, seeing authoritarian regimes world hesitated attempt leverage artificial intelligence pursue agendas. China best examples obvious one. Its place Chinas Communist Party essentially twisted technology way that, West, extraordinarily frightening. When AI track people, identify ethnic minorities, imprison concentration camps, extraordinarily disturbing troubling. And speaking administration. And me, West need stand to. And I think imperative Western leadership technology important. We need lead world, generation technological discovery, dont, going authoritarian regimes going driving inserting values process.AdvertisementThat said, know here, people love technology, power artificial intelligence technologies fundamentally change world better. We know that, us, autonomous vehicles road disabled elderly places, arent people dying streets, these, big deal. And us, dont want stifle innovation United States, people nefarious purposes. It makes need lead world important.What seeing authoritarian regimes world hesitated attempt leverage artificial intelligence pursue agendas.Michael Kratsios, US chief technology officer.NT: So fear dont lead, dont regulations right, fall AI, AI essentially baked authoritarian way.MK: Yes, absolutely. And thats I thinkNT: And exactly mean?MK: It means authoritarian regimes trying guide drive development, attempt export values abroad. And theyre ones making great technological discoveries, ones dictating types technologies want hands on. And thats believe going good world generally, certainly America. So us, think American leadership Western leadership broadly technologies important.NT: OK, lets accept premise; I accept premise. Then question is, steps take? The steps White House taken split US China, I read it, right? You major Chinese AI companies involved surveilling Uighurs business American companies. Youve taken Chinese tech companies, particular surveillance reasons, belief backdoors Chinese government, Huawei entities list, meaning Huawei longer work US companies. So split. Why splitting United States China proper way deal problem opposed trying integrate?MK: The reality general strategy promote protect. Theres way ensure leadership both. So highlighted couple techniques sure networks United States secure phone know information safe secure. And know government networks information safe secure.On promote I think leaning harder before. And I think equally important protection. So promote side, stuff focused lot research development. The US spending research development, federal government, time history country. The president signed largest RD budget history December Christmas break. As American AI initiative, time history, actually tracking AI RD agencies. So makes United States unique dont Ministry Science, Darpa incredible work, National Science Foundation incredible work, Department Energy, theres 16 national labs, on. And tally, 2020 budget, billion nondefense unclassified dollars spent AI, thats going increase years come. So thats one.Number huge emphasis workforce development. Right now, United States lowest unemployment rate very, long time. And seeing board areas prepare American workers nextgeneration jobs. Thats weve emphasized programs, idea training generation AI researchers United States. So prioritized grants, fellowships, dollars federal government sponsor students pursue graduate degrees US. Now theyre prioritizing years. So lot instances promote side, balanced protective measures.AdvertisementNT: I want stick protect, I totally agree promotion. I wish promote. Im totally, money AI, great AI research bring here, totally that. But thatd boring. But protect, I feel like disagreement. So Chinese government wouldI mean Chinese government credibly say, We longer AI surveil Uighurs, longer AI suppress people track protesters, change policy?Keep ReadingThe latest artificial intelligence, machine learning vision moreMK: Well read notice sent companies added entities list, cite specific things. So alternate reality true anymore, reason list.NT: So lets start implications entities list. So Huawei, largest Chinese phone manufacturers, result list longer going use Android. Theyre going develop operating system. And fact, floor talk Chinese companies, say, I dont know, want work US companies. We want use Android. I mean, great, like Huawei builds OS, going use instead. So US national suddenly hundreds millions phones world dont Android, Huawei OS?MK: The better question is, US Huawei network, let authoritarian regime attempted undermine compete United States access technology. And I think dramatically moreNT: But isnt different? Cant ban Huawei 5G networks putting entities list?MK: The entities list legal path makes sense. And I said, I think critically important rest world little cognizant understand threats posed companies particular. Their practices documented, stealing IP techniques world. This company rational business person want business with.NT: How worried implications be, know, WIRED called new Cold War, Chinese tech stack Huawei 5G, know, Chinesemade phones running Huawei OS. And theres Western tech stack Ericsson 5G, Apple, Google, is. Does worry think future split way? Or inevitable consequence changing things?MK: I dont know inevitable consequence. I dont want postulation magnitude. But again, I think truth is, youre dealing players exhibiting type behavior, ignoring them, ignoring problem, solution. And I think West generally need lot openeyed situation facing, operators, practices use technology, concern greatly.NT: So bestcase scenario relationship US Chinese tech industries over, say, years? Give bestcase scenario, worstcase scenario.AdvertisementMK: I dont know that. But I think excited phaseone trade deal thats coming together, excited morph phase two. I think, ultimately, Chinese hopefully working big larger global economic order, benefit people, know benefited West years. And ultimately, I think able presentNT: But let ask specifically aboutas Trump administration laid policies, thought, I mean, trying leverage, trying better position. You know, kind like recent assassination Iran, saying, Look, guys crossed red line. Huawei know considered acceptable. So going raise price that. But hope reach new better relationship, right? That China say, OK fine, longer steal IP. China feel pain companies entities list respond, reach new equilibrium, again, US China lots business tech industry, folks floor CES arent afraid business US. And better terms, right? That partly US negotiating. Is fair way looking it? Is way look it? Or wrong?MK: No, I think thats pretty fair. I mean, example I bring WTO. We went believing allowing China enter WTO 2000s sort transform business practices exhibited ones conformed global order. And 20 years, exact opposite happened. And left West interesting bind, time history sort status quo right thing, suddenly somebody stopped, knew respond. And mechanisms keeping people line order particularly efficient. We bring sort issue WTO, good luck getting sorted years.So know, I think face, especially tech domain is, naive. When China came G20 Tokyo, decided ahead OECD AI principles bake [communique] coming G20 ministers meeting summer. And Chinese breached them. Theyre practicing principles. They literally exact opposite. And West believing theyre going miraculously change, I think very, particular tools administration. We finally administration thats actually protect American innovator idea stolen taken decades.NT: So position is, China better position theres ID theft, expectation. Were finally reacting, US taken way long something.MK: Were reacting, expect will. Lets hope change.AdvertisementNT: So actually think that, I answer question minute ago, bestcase scenario years Chinese administration credibly agreed stop ID theft, stop hacking us, stop surveilling, know, violations human rights AI. And return, companies taken entities list, able business normal way again. That best case scenario?MK: Yeah, absolutely.NT: Well, lets topic happy note.LEARN MOREThe WIRED Guide Quantum ComputingQuantum computing. So I know youre big proponent quantum computing, I know care lot US gets lead quantum computing. Is NSA working quantum computer?MK: I speak civilian approach quantum computing. One biggest legislative wins weve seen end year signing quantum initiative. This great example bipartisan piece legislation folks sides Congress came said, Look, US lead technology, negatives associated damage dont lead world grave need drive effort. They committed 1.2 billion years effort set National Quantum Coordination Office White House, theyve moving ahead. So theres announcements quantum consortium centers, big stuff Department Energy agencies. So excited this. We believe exact type research development federal government focused on. This earlystage, precompetitive, basic research, incentive private sector invest actually lower things like artificial intelligence. So important dollars taxpayers spending, private sector ready big investment.NT: Sounds like yes question All right, great. So think quantum computing, Im reading answer, seriously, sounds like like US private sector major advances quantum computing, believe area needs government investments, government encouragement private sector?MK: I think government encouragement private sector, recognition big chunk basic earlystage research quantum science paying for, theres federal government so. The federal government supporting earlystage, basic research decades now. And greatest technological discoveries happened federal governments focus earlystage research, seeing amazing programs National Science Foundation, great stuff national labs, ultimately commercialized taken private sector drive.NT: So lets talk minute immigration. If look companies USMicrosoft, Googlethat leading quantum computing, theyre run immigrants. And Trump administration reputation welcoming immigrants world. How change perception? And sure smartest minds world come America?MK: Absolutely. I read immigration proposal . I mean, pursuing, president vocal meritbased immigration system, supports encourages best brightest world come United States. And countries world meritbased systems, ones provide points benefits better spots queue, will, advanced degrees, sort skill merit, thats want do. And I think place actually aligned tech industry. We love meritbased immigration, best brightest.AdvertisementNT: Theyre aligned policy meritbased system, theyre concerned rhetoric coming White House perception United States longer welcoming place. Clearly, youre charge rhetoric, youre charge policy, change perception?MK: Well, I love talks like these. I love speak wants listen. I deeply believe America home generation discoveries. My mother immigrant came Greece. And I deeply believe country welcomed immigrants. And Im deeply excited president whos interested driving meritbased immigration system.NT: You work federal government, elections state level. But I able vote online?MK: I wish I good answer you. You know, I think great. Voting online fantastic. Obviously staterun effort, maybe federal level figuring standards giving technical assistance lot theseNT: One huge problems wheres hosted, right? You presumably figure host state elections, federal election, figure US government host servers states, right? There lot things White House CTO work, great. So hands, wants man sure online voting United States?MK: It appears unanimous Ill itNT: Thank Michael Kratsios. Thanks coming.More Great WIRED StoriesHollywood bets future quick clips tiny screensMind control massesno implant neededHeres world look like 2030 ... right?Internet deception staywhat now?The war vet, dating site, phone hell Will AI field hit wall soon? Plus, latest news artificial intelligence Want best tools healthy? Check Gear teams picks best fitness trackers, running gear including shoes socks, best headphonesNicholas Thompson editor chief Wired. You send story tips nxthompson Twitter DM. And information .Featured VideoMachine Learning: Living Age AITopicsCESArtificial IntelligenceChinaquantum computingimmigrationWIRED tomorrow realized. It essential source information ideas sense world constant transformation. The WIRED conversation illuminates technology changing aspect livesfrom culture business, science design. The breakthroughs innovations uncover lead new ways thinking, new connections, new industries.FacebookTwitterPinterestYoutubeInstagramMore From WIREDNewsletterFAQWired StaffPress CenterAdvertise UsCustomer CareSecureDropJobsRSSSite MapAccessibility HelpCond Nast Store 2020 Cond Nast. . Use site constitutes acceptance User Agreement updated 1120 Statement updated 1120 Your California Privacy Rights. Do Not Sell My Personal Information Wired earn portion sales products purchased site Affiliate Partnerships retailers. The material site reproduced, distributed, transmitted, cached used, prior written permission Cond Nast. Ad Choices
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COVID 19 Impact Analysis of Global AI in Oil and Gas Market Report 2020 IBM (US), Intel (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), Royal Dutch Shell (Netherlands) – Owned
COVID 19 Impact Analysis of Global AI in Oil and Gas Market Report 2020 IBM (US), Intel (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), Royal Dutch Shell (Netherlands) – Owned Skip to the content Search OwnedMarket Reports and Analytics Menu Market Reports Analysis Forecast COVID-19 Industry Impact Market Price Analysis Market Size Market Study Contact us Search Search for: Close search Close Menu Market Reports Analysis Forecast COVID-19 Industry Impact Market Price Analysis Market Size Market Study Contact us Categories Analysis Forecast Coronavirus COVID-19 Industry Impact Market Reports Market Size News COVID 19 Impact Analysis of Global AI in Oil and Gas Market Report 2020 IBM (US), Intel (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), Royal Dutch Shell (Netherlands) Post author By Jason Smith Post date December 17, 2020 Global Coronavirus pandemic has impacted all industries across the globe, AI in Oil and Gas market being no exception. As Global economy heads towards major recession post 2009 crisis, Cognitive Market Research has published a recent study which meticulously studies impact of this crisis on Global AI in Oil and Gas market and suggests possible measures to curtail them. This press release is a snapshot of research study and further information can be gathered by accessing complete report. Inquiry for Buying or Customization of Report: https://www.cognitivemarketresearch.com/ai-in-oil-and-gas-market-report#download_report The number of coronavirus cases is increasing rapidly which has not only taken a number of lives but has also affected the global economic structure. The Coronavirus Disease Pandemic (COVID-19) has affected all parts of the world. This virus has changed all the market conditions and hampers the growth of the various sectors of the global AI in Oil and Gas market. The report covers rapidly altering market scenario due to COVID-19 and market fluctuation during the forecast period. Cognitive Market Research has published AI in Oil and Gas market report accordingly.To Get Detailed Analysis Mail us @ [email protected] or call us on +1-312-376-8303. The global AI in Oil and Gas market report covers in-depth impression of regional level break-up, leading growth rate territory, countries with the highest market share, geographical break-up, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The report also offers comprehensive evaluation of the market, current growth factors, focused opinions and industry certified market data. Request Free Sample Copy @ https://www.cognitivemarketresearch.com/ai-in-oil-and-gas-market-report#download_report The global AI in Oil and Gas Market can be segmented into various type and application. All the type and application segments have been analyzed based on present and future trends and the market is estimated from 2020 to 2027. Moreover, study also provides quantitative and qualitative analysis of each type to understand the driving factors for the fastest growing type segment for AI in Oil and Gas market. Global AI in Oil and Gas Market Segmentation: By Types Hardware, Software, Hybrid Global AI in Oil and Gas Market segmentation: By Applications Upstream, Downstream, Midstream Manufacturers are facing continued downward pressure on demand, production and revenues as the COVID-19 pandemic strengthens.manufacturers should be prepared for major global supply chain disruptions. Thus, some of the key players are mainly focusing on research & development to provide inovative products to clint. Major Key Players Mentioned in the report are: IBM (US), Intel (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), Royal Dutch Shell (Netherlands) Global AI in Oil and Gas Market Segmentation: By Region Global AI in Oil and Gas market report categorized the information and data according to the major geographical regions like,  •    North America (U.S., Canada, Mexico) •    Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) •    Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) •    Latin America (Brazil, Rest of L.A.) •    Middle East and Africa (Turkey, GCC, Rest of Middle East) The Global AI in Oil and Gas Market report covers all dynamic limitations along with AI in Oil and Gas market upsurges, market trends and opportunities, feasibility evaluation, market drivers and restrains, market competitive landscape and guidelines on new investments. The report also covers all the data by market applications, by product types, by geographic regions and information about the suppliers and the investors. Download Sample Report of AI in Oil and Gas Market Report 2020 (Coronavirus Impact Analysis on AI in Oil and Gas Market) Click Here—>  https://www.cognitivemarketresearch.com/ai-in-oil-and-gas-market-report#download_report  Table of Content : To access detailed TOC Visit out Website:https://www.cognitivemarketresearch.com/ai-in-oil-and-gas-market-report There are 15 Chapters to display the Global AI in Oil and Gas market: Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation Overview Chapter 2: COVID Impact Chapter 3: Market Competition by Manufacturers Chapter 4: Production by Regions Chapter 5: Consumption by Regions Chapter 6: Production, By Types, Revenue and Market share by Types Chapter 7: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 8: PESTEL Analysis Chapter 9: Complete profiling and analysis of Manufacturers Chapter 10: Manufacturing cost analysis, Raw materials analysis, Region-wise Manufacturing expenses. Chapter 11: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 12: Marketing Strategy Analysis, Distributors/Traders Chapter 13: Market Effect Factors Analysis Chapter 14: Market Forecast Chapter 15: AI in Oil and Gas Research Findings and Conclusion, Appendix, methodology and data source.To access the complete Table of Content click here: @ https://www.cognitivemarketresearch.com/ai-in-oil-and-gas-market-report Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19. ← COVID 19 Impact Analysis of Global AHRS(Attitude and Heading Reference System) Market Report 2020 Xsens, SBG, Omron, LP-RESEARCH., XIONGMING, PNI, HAOTONG → COVID 19 Impact Analysis of Global Cardiology Surgical & Interventional Cardiology Devices Market Report 2020 Abbott Cardiovascular, Biosense Webster Inc, Boston Scientific Corporation, C.R. 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Inc, Plc Medical Systems, St. Jude Medical Contact us Search for: Recent Posts COVID 19 Impact Analysis of Global Aluminium Sulphate Market Report 2020 Chemtrade, General Chemical, GEO, Nippon Light Metal, C&S Chemical, USALCO, Feralco, Drury, ECO Services, Affinity Chemical, Southern Ionics, Thatcher Group, GAC Chemical, Holland Company, Kemira, Nankai, Aluminium Chemicals, IAI, Sanfeng, Guangzheng Aluminum, Jianheng Industrial, Dazhong, Zibo Landing Chemical, Win-Win Chemicals, Yunhe Aluminum Sulfate, Xinfumeng HFC Refrigerant Market Outlook, Geographical Segmentation, Industry Size & Share, Analysis to 2025 Amorphous Metal Cores Market Outlook, Geographical Segmentation, Industry Size & Share, Analysis to 2025 COVID 19 Impact Analysis of Global CD68(Antibody) Market Report 2020 Aviva Systems Biology Corporation(US), Atlas Antibodies(SE), Abbexa Ltd(UK), Abiocode(US), Boster Biological Technology(US), Biobyt(UK), Bio-Rad(US), Bioss Antibodies(US), Biosensis(US), BioLegend(US), BioVision(US), BethylLaboratories(US), Epigentek(US), EnzoLifeSciences(CH), Genetex(US), Lifespan Biosciences(US), Novus Biologicals(US), Proteintech(US), ProSci(US), ProteoGenix(FR), R&D Systems(US), Rockland(US), St John’s Laboratory Ltd(UK), Stemcell(CA), Thermo Fisher Scientific(US), USBiological(US) Food & Beverages Market By Glorious Opportunities, Business Growth, Size, And Statistics Forecasts Up To 2026 © 2020 Owned Powered by WordPress To the top ↑ Up ↑
COVID 19 Impact Analysis of Global AI in Oil and Gas Market Report 2020 IBM (US), Intel (US), Accenture (Republic of Ireland), Google (US), Microsoft (US), Oracle (US), Numenta (US), Sentient technologies (US), Inbenta (US), General Vision (US), Cisco (US), FuGenX Technologies (US), Infosys (India), Hortonworks (US), Royal Dutch Shell (Netherlands)
COVID 19 Impact Analysis Global AI Oil Gas Market Report 2020 IBM US, Intel US, Accenture Republic Ireland, Google US, Microsoft US, Oracle US, Numenta US, Sentient technologies US, Inbenta US, General Vision US, Cisco US, FuGenX Technologies US, Infosys India, Hortonworks US, Royal Dutch Shell Netherlands Owned Skip content OwnedMarket Reports Analytics Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study for: Close search Close Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study Categories Analysis Forecast Coronavirus COVID19 Industry Impact Market Reports Market Size News COVID 19 Impact Analysis Global AI Oil Gas Market Report 2020 IBM US, Intel US, Accenture Republic Ireland, Google US, Microsoft US, Oracle US, Numenta US, Sentient technologies US, Inbenta US, General Vision US, Cisco US, FuGenX Technologies US, Infosys India, Hortonworks US, Royal Dutch Shell Netherlands Post author By Jason Smith Post date December 17, 2020 Global Coronavirus pandemic impacted industries globe, AI Oil Gas market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global AI Oil Gas market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. Inquiry Buying Customization Report: The number coronavirus cases increasing rapidly taken number lives affected global economic structure. The Coronavirus Disease Pandemic COVID19 affected parts world. This virus changed market conditions hampers growth sectors global AI Oil Gas market. The report covers rapidly altering market scenario COVID19 market fluctuation forecast period. Cognitive Market Research published AI Oil Gas market report accordingly.To Get Detailed Analysis Mail @ [emailprotected] 13123768303. The global AI Oil Gas market report covers indepth impression regional level breakup, leading growth rate territory, countries highest market share, geographical breakup, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, key company profiles strategies players. The report offers comprehensive evaluation market, current growth factors, focused opinions industry certified market data. Request Free Sample Copy @ The global AI Oil Gas Market segmented type application. All type application segments analyzed based present future trends market estimated 2020 2027. Moreover, study provides quantitative qualitative analysis type understand driving factors fastest growing type segment AI Oil Gas market. Global AI Oil Gas Market Segmentation: By Types Hardware, Software, Hybrid Global AI Oil Gas Market segmentation: By Applications Upstream, Downstream, Midstream Manufacturers facing continued downward pressure demand, production revenues COVID19 pandemic strengthens.manufacturers prepared major global supply chain disruptions. Thus, key players mainly focusing research development provide inovative products clint. Major Key Players Mentioned report are: IBM US, Intel US, Accenture Republic Ireland, Google US, Microsoft US, Oracle US, Numenta US, Sentient technologies US, Inbenta US, General Vision US, Cisco US, FuGenX Technologies US, Infosys India, Hortonworks US, Royal Dutch Shell Netherlands Global AI Oil Gas Market Segmentation: By Region Global AI Oil Gas market report categorized information data according major geographical regions like, North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East The Global AI Oil Gas Market report covers dynamic limitations AI Oil Gas market upsurges, market trends opportunities, feasibility evaluation, market drivers restrains, market competitive landscape guidelines new investments. The report covers data market applications, product types, geographic regions information suppliers investors. Download Sample Report AI Oil Gas Market Report 2020 Coronavirus Impact Analysis AI Oil Gas Market Click Here> Table Content : To access detailed TOCVisit Website: There 15 Chapters display Global AI Oil Gas market: Chapter 1: Market Overview, Drivers, Restraints Opportunities, Segmentation Overview Chapter 2: COVID Impact Chapter 3: Market Competition Manufacturers Chapter 4: Production Regions Chapter 5: Consumption Regions Chapter 6: Production, By Types, Revenue Market share Types Chapter 7: Consumption, By Applications, Market share Growth Rate Applications Chapter 8: PESTEL Analysis Chapter 9: Complete profiling analysis Manufacturers Chapter 10: Manufacturing cost analysis, Raw materials analysis, Regionwise Manufacturing expenses. Chapter 11: Industrial Chain, Sourcing Strategy Downstream Buyers Chapter 12: Marketing Strategy Analysis, DistributorsTraders Chapter 13: Market Effect Factors Analysis Chapter 14: Market Forecast Chapter 15: AI Oil Gas Research Findings Conclusion, Appendix, methodology data source.To access complete Table Content click here: @ Note In order provide accurate market forecast, reports updated delivery considering impact COVID19. COVID 19 Impact Analysis Global AHRSAttitude Heading Reference System Market Report 2020 Xsens, SBG, Omron, LPRESEARCH., XIONGMING, PNI, HAOTONG COVID 19 Impact Analysis Global Cardiology Surgical Interventional Cardiology Devices Market Report 2020 Abbott Cardiovascular, Biosense Webster , Boston Scientific Corporation, C.R. 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Google AI researcher’s exit sparks ethics, bias concerns | The Seattle Times
Google AI researcher’s exit sparks ethics, bias concerns | The Seattle Times Skip to content Menu Coronavirus Local News Traffic Lab Crime Local Politics Education Education Lab Eastside Health Data Project Homeless Times Watchdog Business & Tech Boeing & Aerospace Amazon Microsoft Technology Real Estate Economy Artificial Intelligence Nation & World Nation & World Politics Oddities Sports Seahawks Huskies Cougars Mariners Sounders Storm Kraken High School Sports On TV/Radio Entertainment Movies Books Music Theater Classical Music TV/Streaming Comics Games & Puzzles Horoscopes Life Food & Drink Travel & Outdoors Wellness Pets Rant & Rave Pacific NW Magazine Homes & Real Estate Opinion Editorials Letters to the Editor David Horsey Free Press Video Photography Obituaries News Obituaries Paid Obituaries Newsletters Print Replica Inside The Times Explore Jobs Autos Log In Subscribe Search Business Coronavirus Local Biz Sports Entertainment Life Homes Opinion | Jobs Autos Explore Boeing & Aerospace The A.I. Age Amazon Microsoft Technology Economy Real Estate All SectionsLocal Coronavirus Traffic Lab Project Homeless Crime Local Politics Education Education Lab Eastside Northwest Data Health Times Watchdog Inside The Times News Obituaries Photo & Video Nation & World Politics Oddities Business Boeing Amazon Artificial Intelligence Microsoft Technology Economy Real Estate Sports Seahawks Huskies Cougars Kraken High Schools Mariners Sounders Snow Sports Geoff Baker Matt Calkins Larry Stone Bob Condotta On TV/Radio Entertainment Movies Books Music Theater Classical Music TV/Streaming Comics Games & Puzzles Horoscopes Life Pacific NW Magazine Food & Drink Happy Hour Wellness Home & Decor Pets Rant & Rave Bethany Jean Clement Travel Outdoors Northwest Hikes Washington Oregon B.C. Hawaii Opinion Editorials Letters Op-Eds David Horsey Kate Riley Mark Higgins Brier Dudley Jennifer Hemmingsen Derrick Nunnally Free Press Columnists FYI Guy Seattle Sketcher Danny Westneat Naomi Ishisaka Jon Talton Jobs Autos Homes Listings Classifieds Paid Obituaries Explore Sponsored Posts Seattle Times Store Contact FAQs Subscriber Services Print Replica iOS App Android App Business Boeing & Aerospace The A.I. Age Amazon Microsoft Technology Economy Real Estate Business Log In Subscribe BusinessNationTechnology Google AI researcher’s exit sparks ethics, bias concerns Dec. 4, 2020 at 1:54 pm Updated Dec. 4, 2020 at 3:25 pm FILE – This Thursday, Jan. 3, 2013, file photo shows Google’s headquarters in Mountain View, Calif. Prominent artificial intelligence scholar Timnit Gebru helped improve Google’s public image as a company that elevates Black computer scientists and questions harmful uses of AI technology. (AP Photo/Marcio Jose Sanchez, File) By MATT O'BRIEN The Associated Press Prominent artificial intelligence scholar Timnit Gebru helped improve Google’s public image as a company that elevates Black computer scientists and questions harmful uses of AI technology.But internally, Gebru, a leader in the field of AI ethics, was not shy about voicing doubts about those commitments — until she was pushed out of the company this week in a dispute over a research paper examining the societal dangers of an emerging branch of AI.Gebru announced on Twitter she was fired. Google told employees she resigned. More than 1,200 Google employees have signed on to an open letter calling the incident “unprecedented research censorship” and faulting the company for racism and defensiveness.The furor over Gebru’s abrupt departure is the latest incident raising questions about whether Google has strayed so far away from its original “Don’t Be Evil” motto that the company now routinely ousts employees who dare to challenge management. The exit of Gebru, who is Black, also raised further doubts about diversity and inclusion at a company where Black women account for just 1.6% of the workforce.And it’s exposed concerns beyond Google about whether showy efforts at ethical AI — ranging from a White House executive order this week to ethics review teams set up throughout the tech industry — are of little use when their conclusions might threaten profits or national interests.Gebru has been a star in the AI ethics world who spent her early tech career working on Apple products and got her doctorate studying computer vision at the Stanford Artificial Intelligence Laboratory. Advertising She’s co-founder of the group Black in AI, which promotes Black employment and leadership in the field. She’s known for a landmark 2018 study that found racial and gender bias in facial recognition software. Gebru had recently been working on a paper examining the risks of developing computer systems that analyze huge databases of human language and use that to create their own human-like text. The paper, a copy of which was shown to The Associated Press, mentions Google’s own new technology, used in its search business, as well as those developed by others. Besides flagging the potential dangers of bias, the paper also cited the environmental cost of chugging so much energy to run the models — an important issue at a company that brags about its commitment to being carbon neutral since 2007 as it strives to become even greener. Google managers had concerns about omissions in the work and its timing, and wanted the names of Google employees taken off the study, but Gebru objected, according to an exchange of emails shared with the AP and first published by Platformer. Jeff Dean, Google’s chief of AI research, reiterated Google’s position about the study in a statement Friday. The paper raised valid points but “had some important gaps that prevented us from being comfortable putting Google affiliation on it,” Dean wrote. Advertising “For example, it didn’t include important findings on how models can be made more efficient and actually reduce overall environmental impact, and it didn’t take into account some recent work at Google and elsewhere on mitigating bias,” Dean added.Gebru on Tuesday vented her frustrations about the process to an internal diversity-and-inclusion email group at Google, with the subject line: “Silencing Marginalized Voices in Every Way Possible.” Gebru said on Twitter that’s the email that got her fired. Dean, in an email to employees, said the company accepted “her decision to resign from Google” because she told managers she’d leave if her demands about the study were not met.“Ousting Timnit for having the audacity to demand research integrity severely undermines Google’s credibility for supporting rigorous research on AI ethics and algorithmic auditing,” said Joy Buolamwini, a graduate researcher at the Massachusetts Institute of Technology who co-authored the 2018 facial recognition study with Gebru.“She deserves more than Google knew how to give, and now she is an all-star free agent who will continue to transform the tech industry,” Buolamwini said in an email Friday.How Google will handle its AI ethics initiative and the internal dissent sparked by Gebru’s exit is one of a number of problems facing the company heading into the new year. Advertising At the same time she was on her way out, the National Labor Relations Board on Wednesday cast another spotlight on Google’s workplace. In a complaint, the NRLB accused the company of spying on employees during a 2019 effort to organize a union before the company fired two activist workers for engaging in activities allowed under U.S. law. Google has denied the allegations in the case, which is scheduled for an April hearing.Google has also been cast as a profit-mongering bully by the U.S. Justice Department in an antitrust lawsuit alleging the company has been illegally abusing the power of its dominant search engine and other popular digital services to stifle competition. The company also denies any wrongdoing in that legal battle, which may drag on for years.——AP Technology writer Michael Liedtke in San Ramon, California, contributed to this report. MATT O'BRIEN Most Read Business Stories In a boost for Boeing, Ryanair orders 75 additional 737 MAX planes Boeing mulls stock sale, plans new cut to 787 Dreamliner output Employers start preparing for the coronavirus vaccine with a question: Can we require it? UPS restricts some packages from Nike, Gap and other retailers amid online rush Justice Department suit says Facebook discriminates against hiring U.S. workers The Seattle Times does not append comment threads to stories from wire services such as the Associated Press, The New York Times, The Washington Post or Bloomberg News. Rather, we focus on discussions related to local stories by our own staff. You can read more about our community policies here. Advertising Sponsored COMPANY About Contact Careers Permissions Newsroom Staff COMMUNITY Newspapers in Education Fund for the Needy Investigative Journalism Fund Advertise Media Solutions ST Content Studio Classifieds Homes Jobs Obituaries SUBSCRIPTION Subscribe My Account Print Replica Login Mobile Apps Newspaper Archive Help/FAQ CONNECT Manage Newsletters Facebook Twitter Audio & Voice RSS Copyright © 2020 The Seattle Times | Privacy Statement | Notice At Collection | Do Not Sell My Information | Terms of Service
Google AI researcher’s exit sparks ethics, bias concerns
Google AI researchers exit sparks ethics, bias concerns The Seattle Times Skip content Menu Coronavirus Local News Traffic Lab Crime Local Politics Education Education Lab Eastside Health Data Project Homeless Times Watchdog Business Tech Boeing Aerospace Amazon Microsoft Technology Real Estate Economy Artificial Intelligence Nation World Nation World Politics Oddities Sports Seahawks Huskies Cougars Mariners Sounders Storm Kraken High School Sports On TVRadio Entertainment Movies Books Music Theater Classical Music TVStreaming Comics Games Puzzles Horoscopes Life Food Drink Travel Outdoors Wellness Pets Rant Rave Pacific NW Magazine Homes Real Estate Opinion Editorials Letters Editor David Horsey Free Press Video Photography Obituaries News Obituaries Paid Obituaries Newsletters Print Replica Inside The Times Explore Jobs Autos Log In Business Coronavirus Local Biz Sports Entertainment Life Homes Opinion Jobs Autos Explore Boeing Aerospace The A.I. Age Amazon Microsoft Technology Economy Real Estate All SectionsLocal Coronavirus Traffic Lab Project Homeless Crime Local Politics Education Education Lab Eastside Northwest Data Health Times Watchdog Inside The Times News Obituaries Photo Video Nation World Politics Oddities Business Boeing Amazon Artificial Intelligence Microsoft Technology Economy Real Estate Sports Seahawks Huskies Cougars Kraken High Schools Mariners Sounders Snow Sports Geoff Baker Matt Calkins Larry Stone Bob Condotta On TVRadio Entertainment Movies Books Music Theater Classical Music TVStreaming Comics Games Puzzles Horoscopes Life Pacific NW Magazine Food Drink Happy Hour Wellness Home Decor Pets Rant Rave Bethany Jean Clement Travel Outdoors Northwest Hikes Washington Oregon B.C. Hawaii Opinion Editorials Letters OpEds David Horsey Kate Riley Mark Higgins Brier Dudley Jennifer Hemmingsen Derrick Nunnally Free Press Columnists FYI Guy Seattle Sketcher Danny Westneat Naomi Ishisaka Jon Talton Jobs Autos Homes Listings Classifieds Paid Obituaries Explore Sponsored Posts Seattle Times Store FAQs r Services Print Replica iOS App Android App Business Boeing Aerospace The A.I. Age Amazon Microsoft Technology Economy Real Estate Business Log In BusinessNationTechnology Google AI researchers exit sparks ethics, bias concerns Dec. 4, 2020 1:54 pm Updated Dec. 4, 2020 3:25 pm FILE This Thursday, Jan. 3, 2013, file photo shows Googles headquarters Mountain View, Calif. Prominent artificial intelligence scholar Timnit Gebru helped improve Googles public image company elevates Black scientists questions harmful uses AI technology. AP PhotoMarcio Jose Sanchez, File By MATT OBRIEN The Associated Press Prominent artificial intelligence scholar Timnit Gebru helped improve Googles public image company elevates Black scientists questions harmful uses AI technology.But internally, Gebru, leader field AI ethics, shy voicing doubts commitments pushed company week dispute research paper examining societal dangers emerging branch AI.Gebru announced Twitter fired. Google told employees resigned. More 1,200 Google employees signed open letter calling incident unprecedented research censorship faulting company racism defensiveness.The furor Gebrus abrupt departure latest incident raising questions Google strayed far away original Dont Be Evil motto company routinely ousts employees dare challenge management. The exit Gebru, Black, raised doubts diversity inclusion company Black women account 1.6 workforce.And exposed concerns Google showy efforts ethical AI ranging White House executive order week ethics review teams set tech industry little use conclusions threaten profits national interests.Gebru star AI ethics world spent early tech career working Apple products got doctorate studying vision Stanford Artificial Intelligence Laboratory. Advertising Shes cofounder group Black AI, promotes Black employment leadership field. Shes known landmark 2018 study racial gender bias facial recognition software. Gebru recently working paper examining risks developing systems analyze huge databases human language use create humanlike text. The paper, copy shown The Associated Press, mentions Googles new technology, search business, developed others. Besides flagging potential dangers bias, paper cited environmental cost chugging energy run models important issue company brags commitment carbon neutral 2007 strives greener. Google managers concerns omissions work timing, wanted names Google employees taken study, Gebru objected, according exchange emails shared AP published Platformer. Jeff Dean, Googles chief AI research, reiterated Googles position study statement Friday. The paper raised valid points important gaps prevented comfortable putting Google affiliation it, Dean wrote. Advertising For example, didnt include important findings models efficient actually reduce overall environmental impact, didnt account recent work Google mitigating bias, Dean added.Gebru Tuesday vented frustrations process internal diversityandinclusion email group Google, subject line: Silencing Marginalized Voices Every Way Possible. Gebru said Twitter thats email got fired. Dean, email employees, said company accepted decision resign Google told managers shed leave demands study met.Ousting Timnit audacity demand research integrity severely undermines Googles credibility supporting rigorous research AI ethics algorithmic auditing, said Joy Buolamwini, graduate researcher Massachusetts Institute Technology coauthored 2018 facial recognition study Gebru.She deserves Google knew give, allstar free agent continue transform tech industry, Buolamwini said email Friday.How Google handle AI ethics initiative internal dissent sparked Gebrus exit number problems facing company heading new year. Advertising At time way out, National Labor Relations Board Wednesday cast spotlight Googles workplace. In complaint, NRLB accused company spying employees 2019 effort organize union company fired activist workers engaging activities allowed U.S. law. Google denied allegations case, scheduled April hearing.Google cast profitmongering bully U.S. Justice Department antitrust lawsuit alleging company illegally abusing power dominant search engine popular digital services stifle competition. The company denies wrongdoing legal battle, drag years.AP Technology writer Michael Liedtke San Ramon, California, contributed report. MATT OBRIEN Most Read Business Stories In boost Boeing, Ryanair orders 75 additional 737 MAX planes Boeing mulls stock sale, plans new cut 787 Dreamliner output Employers start preparing coronavirus vaccine question: Can require it? UPS restricts packages Nike, Gap retailers amid online rush Justice Department suit says Facebook discriminates hiring U.S. workers The Seattle Times append comment threads stories wire services Associated Press, The New York Times, The Washington Post Bloomberg News. Rather, focus discussions related local stories staff. You read community policies here. Advertising Sponsored COMPANY About Careers Permissions Newsroom Staff COMMUNITY Newspapers Education Fund Needy Investigative Journalism Fund Advertise Media Solutions ST Content Studio Classifieds Homes Jobs Obituaries SUBSCRIPTION My Account Print Replica Mobile Apps Newspaper Archive HelpFAQ CONNECT Manage Newsletters Facebook Twitter Audio Voice RSS 2020 The Seattle Times Privacy Statement Notice At Collection Do Not Sell My Information
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Mobile Artificial Intelligence (AI) Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025 – Market News Gazette
Mobile Artificial Intelligence (AI) Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025 – Market News Gazette Press "Enter" to skip to content Search Search Market News Gazette Market News GazetteJanuary 3, 2020 open menu Back Home Top Stories Business Technology Health Science Mobile Artificial Intelligence (AI) Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025 By Hiren Sam on January 3, 2020 Zion Market Research analysts forecasts the latest report on “Mobile Artificial Intelligence (AI) Market Is Set For A Rapid Growth And Is Anticipated To Reach USD 22.4 Billion Globally By 2024” , according to their latest report. The following report contains an interpretation of the marketing plan for Mobile Artificial Intelligence (AI) Market. Global Mobile Artificial Intelligence (AI) Market Report concentrates on the strong analysis of the present state of Mobile Artificial Intelligence (AI) Market which will help the readers to develop innovative strategies that will act as a catalyst for the overall growth of their industry. (Sample Copy Here) This research report segments the Mobile Artificial Intelligence (AI) Market according to Type, Application and regions. It highlights the information about the industries and market, technologies, and abilities over the trends and the developments of the industries. The Mobile Artificial Intelligence (AI) Market report also includes the bifurcation of the Mobile Artificial Intelligence (AI) Market based on the kind of service or product, technology, end-users, applications, and others. Further, it entails extensive data in relation to specific business & financial terms, predictable market growth, market strategies, and so on. Also, the report entails the Mobile Artificial Intelligence (AI) Market computed expected CAGR of the market founded on previous records concerning the Mobile Artificial Intelligence (AI) Market and existing market trends accompanied by future developments. Additionally, the report also encompasses clarification of key factors that are anticipated to considerably drive or obstruct the Mobile Artificial Intelligence (AI) Market’s growth. It also divulges the future impact of enforcing regulations and policies on the expansion of the Mobile Artificial Intelligence (AI) Market. This Research Help Grow Your Business [Download Sample PDF Of Research Report] The data offered in the report will assist the customers in improving their ability to make precise decisions related to the business under Mobile Artificial Intelligence (AI) Market. The report also focuses on the ongoing and upcoming regulations and policies to be introduced by the government bodies, which may enhance or suppress the market growth. For making the information better understanding, the analysts and professionals have incorporated diagrams, statistical figures, flow charts, and examples in the global Mobile Artificial Intelligence (AI) Market report. Along with this, the report delivers analytical information through segmentation of the market at a geographical level Additionally, the Mobile Artificial Intelligence (AI) Market report provides objective, unbiased evaluation and study of opportunities within the Mobile Artificial Intelligence (AI) Market with methodical market study report entailing a number of other market-associated fundamental factors. Our experienced industry analysts estimate the market share, supply chains, market sizing, growth opportunities, applications, cost, import & export, technologies, companies, and so on, with the only endeavor to aid our clients to make knowledgeable business decisions. Also, with a team of vibrant industry professionals, we provide our customers with a high-value market study that would assist them to understand about new market avenues together with pioneering approaches to take hold of the market share. It further entails the categorization of the Mobile Artificial Intelligence (AI) Market based on geography. The Leading Market Players Covered in this Report are : IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Intel Corporation, Apple, Inc., Alphabet Inc. After the performance evaluation, the report also provides detailed information about the Mobile Artificial Intelligence (AI) Market applications. The experts presented the data analyzed in the report with the help of diagrams, tables, charts and diagrams to make the concept and analysis clearer for customers. In addition, a geographic market analysis of based on specific regions are also included in the report. A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period. The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain. Get Free Brochure of Mobile Artificial Intelligence (AI) Market Report: https://www.zionmarketresearch.com/requestbrochure/mobile-artificial-intelligence-market The worldwide Mobile Artificial Intelligence (AI) Market report has all the explicit information such as the Mobile Artificial Intelligence (AI) Market share, growth and development aspects, industrial policies, and Mobile Artificial Intelligence (AI) Market bifurcations mentioned in a smooth-tongued format. In comparison to all its rivals, our multiple tasking platform provide the specific Mobile Artificial Intelligence (AI) Market based on the end-users, product type, subtype, applications, regions, and so on. Even the Mobile Artificial Intelligence (AI) Market segments [Product, Applications, End-Users, and Major Regions] are also detailed out in the reports. The global study of the Mobile Artificial Intelligence (AI) Market is clearly penciled down in a simple and plain general report layout. One of the eye-catching features is the portrayal of the information such that some of the futuristic growth and development can be well understood and predicted right now itself. This Report covers the manufacturers’ data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size, volume and value, as well as price data. Abstract •The report covers the conjecture and investigation for the Mobile Artificial Intelligence (AI) Market on a worldwide and provincial level. •The report incorporates the positive and the negative factors that are impacting the development of the market. •All the sections have been assessed dependent on the present and the future patterns. •The report incorporates the definite organization profiles of the noticeable market players. Browse Press Release@ https://www.zionmarketresearch.com/news/mobile-artificial-intelligence-market The Mobile Artificial Intelligence (AI) Market report includes the leading advancements and technological up-gradation that engages the user to inhabit with fine business selections, define their future-based priority growth plans, and to implement the necessary actions. The global Mobile Artificial Intelligence (AI) Market report also offers a detailed summary of key players and their manufacturing procedure with statistical data and profound analysis of the products, contribution, and revenue. This report focuses on price, sales, revenue and growth rate of each type, as well as the types and each type price of key manufacturers, through interviewing key manufacturers. Second on basis of segments by manufacturers, this report focuses on the sales, price of each type, average price of Mobile Artificial Intelligence (AI) Market, revenue and market share, for key manufacturers. Following 15 Chapters represents the Mobile Artificial Intelligence (AI) Market globally: Chapter 1, enlist the goal of global Mobile Artificial Intelligence (AI) Market covering the market introduction, product image, market summary, development scope,Mobile Artificial Intelligence (AI) Market presence; Chapter 2, studies the key global Mobile Artificial Intelligence (AI) Market competitors, their sales volume, market profits and price of Mobile Artificial Intelligence (AI) Market in 2016 and 2025; Chapter 3, shows the competitive landscape view of global Mobile Artificial Intelligence (AI) Market on the basis of dominant market players and their share in the market growth in 2016 and 2025; Chapter 4, conducts the region-wise study of the global Mobile Artificial Intelligence (AI) Market based on the sales ratio in each region, and market share from 2016 to 2025; Chapter 5,6,7,8 and 9 demonstrates the key countries present in these regions which have revenue share in Mobile Artificial Intelligence (AI) Market; Chapter 10 and 11 describes the market based on Mobile Artificial Intelligence (AI) Market product category, wide range of applications, growth based on market trend, type and application 2016 to 2025; Chapter 12 shows the global Mobile Artificial Intelligence (AI) Market plans during the forecast period from 2016 to 2025 separated by regions, type, and product application. Chapter 13, 14, 15 mentions the global Mobile Artificial Intelligence (AI) Market sales channels, market vendors, dealers, market information and study conclusions, appendix and data sources. The classification of the global Mobile Artificial Intelligence (AI) Market is done based on the product type, segments, and end-users. The report provides an analysis of each segment together with the prediction of their development in the upcoming period. Additionally, the latest research report studies various segments of the global Mobile Artificial Intelligence (AI) Market in the anticipated period. Also, Research Report Examines: Competitive companies and manufacturers in global market By Product Type, Applications & Growth Factors Industry Status and Outlook for Major Applications / End Users / Usage Area Every information given in the report is sourced and verified by our expert team and is collated with precision. To give a broad overview of the current global market trends and strategies led by key businesses, we present the information in a graphical format such as graphs, pie-charts with superior illustration. astly, with a team of vivacious industry professionals, we offer our clients with high-value market research that, in turn, would aid them to decipher new market avenues together with new strategies to take hold of the market share. Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia. Browse for more Research Reports: http://fnfresearch.com Author Details Hiren Sam Author Sorry! The Author has not filled his profile. email [email protected] Published in Top Stories Mobile Artificial Intelligence (AI) Market More from Top StoriesMore posts in Top Stories »Automated Autoinjectors Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025Blood Collection Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025Vibrating Mesh Nebulizer Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025Immunoassay Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025 Be First to Comment Leave a Reply Cancel reply Your email address will not be published. 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Mobile Artificial Intelligence (AI) Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities and Industry Segments Expected for Rapid Growth by 2025
Mobile Artificial Intelligence AI Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities Industry Segments Expected Rapid Growth 2025 Market News Gazette Press Enter skip content Market News Gazette Market News GazetteJanuary 3, 2020 open menu Back Home Top Stories Business Technology Health Science Mobile Artificial Intelligence AI Market 2020: Global Industry Overview By Size, Share, Trends, Growth Factors, Historical Analysis, Opportunities Industry Segments Expected Rapid Growth 2025 By Hiren Sam January 3, 2020 Zion Market Research analysts forecasts latest report onMobile Artificial Intelligence AI Market Is Set For A Rapid Growth And Is Anticipated To Reach USD 22.4 Billion Globally By 2024, according latest report. The following report contains interpretation marketing plan forMobile Artificial Intelligence AI Market. Global Mobile Artificial Intelligence AI Market Report concentrates strong analysis present state Mobile Artificial Intelligence AI Market help readers develop innovative strategies act catalyst overall growth industry. Sample Copy Here This research report segments Mobile Artificial Intelligence AI Market according Type, Application regions. It highlights information industries market, technologies, abilities trends developments industries. The Mobile Artificial Intelligence AI Market report includes bifurcation Mobile Artificial Intelligence AI Market based kind service product, technology, endusers, applications, others. Further, entails extensive data relation specific business financial terms, predictable market growth, market strategies, on. Also, report entails Mobile Artificial Intelligence AI Market computed expected CAGR market founded previous records concerning Mobile Artificial Intelligence AI Market existing market trends accompanied future developments. Additionally, report encompasses clarification key factors anticipated considerably drive obstruct Mobile Artificial Intelligence AI Markets growth. It divulges future impact enforcing regulations policies expansion Mobile Artificial Intelligence AI Market. This Research Help Grow Your Business [Download Sample PDF Of Research Report] The data offered report assist customers improving ability precise decisions related business Mobile Artificial Intelligence AI Market. The report focuses ongoing upcoming regulations policies introduced government bodies, enhance suppress market growth. For making information better understanding, analysts professionals incorporated diagrams, statistical figures, flow charts, examples global Mobile Artificial Intelligence AI Market report. Along this, report delivers analytical information segmentation market geographical level Additionally, Mobile Artificial Intelligence AI Market report provides objective, unbiased evaluation study opportunities Mobile Artificial Intelligence AI Market methodical market study report entailing number marketassociated fundamental factors. Our experienced industry analysts estimate market share, supply chains, market sizing, growth opportunities, applications, cost, import export, technologies, companies, on, endeavor aid clients knowledgeable business decisions. Also, team vibrant industry professionals, provide customers highvalue market study assist understand new market avenues pioneering approaches hold market share. It entails categorization Mobile Artificial Intelligence AI Market based geography. The Leading Market Players Covered Report : IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, ., Intel Corporation, Apple, ., Alphabet . After performance evaluation, report provides detailed information Mobile Artificial Intelligence AI Market applications. The experts presented data analyzed report help diagrams, tables, charts diagrams concept analysis clearer customers. In addition, geographic market analysis based specific regions included report. A separate analysis prevailing trends parent market, macro microeconomic indicators, regulations mandates included purview study. By so, report projects attractiveness major segment forecast period. The report features complete qualitative quantitative assessment analyzing data gathered industry analysts market participants key points industrys value chain. Get Free Brochure ofMobile Artificial Intelligence AI MarketReport: The worldwide Mobile Artificial Intelligence AI Market report explicit information Mobile Artificial Intelligence AI Market share, growth development aspects, industrial policies, Mobile Artificial Intelligence AI Market bifurcations mentioned smoothtongued format. In comparison rivals, multiple tasking platform provide specific Mobile Artificial Intelligence AI Market based endusers, product type, subtype, applications, regions, on. Even Mobile Artificial Intelligence AI Market segments [Product, Applications, EndUsers, Major Regions] detailed reports. The global study Mobile Artificial Intelligence AI Market clearly penciled simple plain general report layout. One eyecatching features portrayal information futuristic growth development understood predicted right itself. This Report covers manufacturers data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., data help consumer know competitors better. This report covers regions countries world, shows regional development status, including market size, volume value, price data. Abstract The report covers conjecture investigation Mobile Artificial Intelligence AI Market worldwide provincial level. The report incorporates positive negative factors impacting development market. All sections assessed dependent present future patterns. The report incorporates definite organization profiles noticeable market players. Browse Press Release@ The Mobile Artificial Intelligence AI Market report includes leading advancements technological upgradation engages user inhabit fine business selections, define futurebased priority growth plans, implement necessary actions. The global Mobile Artificial Intelligence AI Market report offers detailed summary key players manufacturing procedure statistical data profound analysis products, contribution, revenue. This report focuses price, sales, revenue growth rate type, types type price key manufacturers, interviewing key manufacturers. Second basis segments manufacturers, report focuses sales, price type, average price Mobile Artificial Intelligence AI Market, revenue market share, key manufacturers. Following 15 Chapters represents Mobile Artificial Intelligence AI Market globally: Chapter 1,enlist goal global Mobile Artificial Intelligence AI Market covering market introduction, product image, market summary, development scope,Mobile Artificial Intelligence AI Market presence; Chapter 2,studies key global Mobile Artificial Intelligence AI Market competitors, sales volume, market profits price Mobile Artificial Intelligence AI Market 2016 2025; Chapter 3,shows competitive landscape view global Mobile Artificial Intelligence AI Market basis dominant market players share market growth 2016 2025; Chapter 4,conducts regionwise study global Mobile Artificial Intelligence AI Marketbased sales ratio region, market share 2016 2025; Chapter 5,6,7,8 9demonstrates key countries present regions revenue share Mobile Artificial Intelligence AI Market; Chapter 10 11describes market based Mobile Artificial Intelligence AI Market product category, wide range applications, growth based market trend, type application 2016 2025; Chapter 12shows global Mobile Artificial Intelligence AI Market plans forecast period 2016 2025 separated regions, type, product application. Chapter 13, 14, 15mentions global Mobile Artificial Intelligence AI Market sales channels, market vendors, dealers, market information study conclusions, appendix data sources. The classification global Mobile Artificial Intelligence AI Market based product type, segments, endusers. The report provides analysis segment prediction development upcoming period. Additionally, latest research report studies segments global Mobile Artificial Intelligence AI Market anticipated period. Also, Research Report Examines: Competitive companies manufacturers global market By Product Type, Applications Growth Factors Industry Status Outlook Major Applications End Users Usage Area Every information given report sourced verified expert team collated precision. To broad overview current global market trends strategies led key businesses, present information graphical format graphs, piecharts superior illustration. astly, team vivacious industry professionals, offer clients highvalue market research that, turn, aid decipher new market avenues new strategies hold market share. Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. 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https://www.telegraph.co.uk/technology/2020/02/25/bristol-start-up-graphcore-secures-150m-ai-chips/
2020-02-25T00:00:00
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Bristol start-up Graphcore secures $150m for AI chips
Bristol start-up Graphcore secures $150m for AI chips Jump to navigation Bristol start-up Graphcore secures $150m for AI chips By Matthew Field 25 February 2020 • 6:00am Premium A Bristol start-up building the next generation of microchips for artificial intelligence technology has raised $150m (£116m) from investors including Edinburgh’s Baillie Gifford. Graphcore, founded in 2016 by Icera co-founder Nigel Toon, is now valued at almost $2bn having raised $450m from investors. Its new investors include Baillie Gifford, which has more than £200bn of assets under management, Mayfair Equity Partners and M&G Investments. Previous backers include Microsoft, BMW and Silicon Valley venture capital fund Sequoia.  Graphcore has developed an intelligence processing unit, a microchip designed for artificial intelligence software. The start-up’s chips are designed for unpredictable decision making tasks, such as providing the brains to power driverless cars. The funding gives Graphcore $300m in cash reserves to expand its products. Chips designed by Graphcore are already being used by Microsoft for its cloud internet business Azure. Demand for high powered chips is booming as tech giants look to fill data centres with artificial intelligence-capable hardware. Firms are also looking to make acquisitions in the space, with US firm Intel splashing $2bn to buy a rival to Graphcore, Israeli firm Habana Labs, in December. Graphcore boss Mr Toon said the company had been moving from research and engineering to “commercially shipping products” in the second half of 2019.  He said its deal with Microsoft to use its technology “puts us well ahead of anyone else”, with its chips deployed for real-world problems.  He added its new investors showed the appetite for private bets in technology companies from large funds that typically invest in public companies.  Graphcore has invested heavily to deliver its new technology. It burnt through around $50m in 2018, according to its last set of accounts. Headquartered in Bristol, it also has offices in London, Cambridge, Oslo, Palo Alto, Beijing and Taiwan. Related Topics Microsoft, Artificial Intelligence Twitter Icon Facebook Icon WhatsApp Icon Email Icon Comment speech bubble The Telegraph values your comments but kindly requests all posts are on topic, constructive and respectful. Please review our commenting policy. Join the conversation, log in or register to comment Log In Register Show comments Advertisement More stories Related Topics Microsoft, Artificial Intelligence Twitter Icon Facebook Icon WhatsApp Icon Email Icon Comment speech bubble More from Technology Should you switch from WhatsApp to secure messaging app Signal? Premium By James Titcomb 25 Feb 2020, 6:00am Bristol start-up Graphcore secures $150m for AI chips Premium By Matthew Field 25 Feb 2020, 6:00am Uber to pay drivers to install rooftop billboards on their cars Premium By Olivia Rudgard 24 Feb 2020, 6:43pm Why your WhatsApp group chats may not be as private as you think Premium By Hannah Boland 24 Feb 2020, 6:12pm Apps are mapping the spread of coronavirus in stunning detail - but they are spreading panic too Premium By James Cook 24 Feb 2020, 5:53pm Electric scooter go-ahead risks hastening ‘waste battery mountain’, experts warn Premium By Hannah Boland 24 Feb 2020, 4:07pm More from The Telegraph Voucher Codes The latest offers and discount codes from popular brands on Telegraph Voucher Codes Amazon promo code Vodafone deals Argos promo code Currys discount code NOW TV Offers Dell discount codes The Telegraph News Politics Sport Business Money Opinion Tech Life Style Travel Culture Search Icon Subscribe now Free for 30 days Log in See all Tech Gadgets Gadgets home Mobile phones Tablets Apps Smart home Operating systems The cloud Innovation Innovation home Artificial intelligence Internet of things Driverless cars Fintech Biotech Inventions Patents Big tech Big tech home Facebook Google Amazon Apple Microsoft Intel Uber Tesla Start-ups Start-ups home UK start-ups European start-ups Venture capital Politics of tech Politics of tech home Social meda Cryptocurrency Cyber attacks Regulation Gaming Gaming home Reviews PS4 Xbox One Nintendo Switch PC Esports Galleries Contact us About us Rewards Archive Reader Prints Branded Content Syndication and Commissioning Guidelines Privacy Terms and Conditions Advertising terms Fantasy Sport UK Voucher Codes Betting Offers Modern Slavery © Telegraph Media Group Limited 2020 We've noticed you're adblocking. We rely on advertising to help fund our award-winning journalism. We urge you to turn off your ad blocker for The Telegraph website so that you can continue to access our quality content in the future. Thank you for your support. Need help? Visit our adblocking instructions page. Close
Bristol start-up Graphcore secures $150m for AI chips
Bristol startup Graphcore secures 150m AI chips Jump navigation Bristol startup Graphcore secures 150m AI chips By Matthew Field 25 February 2020 6:00am Premium A Bristol startup building generation microchips artificial intelligence technology raised 150m 116m investors including Edinburghs Baillie Gifford. Graphcore, founded 2016 Icera cofounder Nigel Toon, valued 2bn raised 450m investors. Its new investors include Baillie Gifford, 200bn assets management, Mayfair Equity Partners MG Investments. Previous backers include Microsoft, BMW Silicon Valley venture capital fund Sequoia. Graphcore developed intelligence processing unit, microchip designed artificial intelligence software. The startups chips designed unpredictable decision making tasks, providing brains powerdriverless cars. The funding gives Graphcore 300m cash reserves expand products. Chips designed Graphcore Microsoft cloud internet business Azure. Demand high powered chips booming tech giants look data centres artificial intelligencecapable hardware. Firms looking acquisitions space, US firm Intel splashing 2bn buy rival Graphcore, Israeli firm Habana Labs, December. Graphcore boss Mr Toon said company moving research engineering commercially shipping products second half 2019. He said deal Microsoft use technologyputs ahead else, chips deployed realworld problems. He added new investors showed appetite private bets technology companies large funds typically invest public companies. Graphcore invested heavily deliver new technology. It burnt 50m 2018, according set accounts. Headquartered Bristol, offices London, Cambridge, Oslo, Palo Alto, Beijing Taiwan. Related Topics Microsoft, Artificial Intelligence Twitter Icon Facebook Icon WhatsApp Icon Email Icon Comment speech bubble The Telegraph values comments kindly requests posts topic, constructive respectful. Please review commenting policy. Join conversation, log register comment Log In Show comments Advertisement More stories Related Topics Microsoft, Artificial Intelligence Twitter Icon Facebook Icon WhatsApp Icon Email Icon Comment speech bubble More Technology Should switch WhatsApp secure messaging app Signal? Premium By James Titcomb 25 Feb 2020, 6:00am Bristol startup Graphcore secures 150m AI chips Premium By Matthew Field 25 Feb 2020, 6:00am Uber pay drivers install rooftop billboards cars Premium By Olivia Rudgard 24 Feb 2020, 6:43pm Why WhatsApp group chats private think Premium By Hannah Boland 24 Feb 2020, 6:12pm Apps mapping spread coronavirus stunning spreading panic Premium By James Cook 24 Feb 2020, 5:53pm Electric scooter goahead risks hastening waste battery mountain, experts warn Premium By Hannah Boland 24 Feb 2020, 4:07pm More The Telegraph Voucher Codes The latest offers discount codes popular brands Telegraph Voucher Codes Amazon promo code Vodafone deals Argos promo code Currys discount code NOW TV Offers Dell discount codes The Telegraph News Politics Sport Business Money Opinion Tech Life Style Travel Culture Icon Free 30 days Log See Tech Gadgets Gadgets home Mobile phones Tablets Apps Smart home Operating systems The cloud Innovation Innovation home Artificial intelligence Internet things Driverless cars Fintech Biotech Inventions Patents Big tech Big tech home Facebook Google Amazon Apple Microsoft Intel Uber Tesla Startups Startups home UK startups European startups Venture capital Politics tech Politics tech home Social meda Cryptocurrency Cyber attacks Regulation Gaming Gaming home Reviews PS4 Xbox One Nintendo Switch PC Esports Galleries About Rewards Archive Reader Prints Branded Content Syndication Commissioning Guidelines Privacy Advertising terms Fantasy Sport UK Voucher Codes Betting Offers Modern Slavery Telegraph Media Group Limited 2020 Weve noticed youre adblocking. We rely advertising help fund awardwinning journalism. We urge turn ad blocker The Telegraph website continue access quality content future. Thank support. Need help? Visit adblocking instructions . Close
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https://footwearnews.com/2020/business/retail/emarsys-ai-stylist-tool-launch-product-recommendation-1203073745/
2020-11-10T00:00:00
en
New Emarsys Tool Uses AI & Image Recognition to Recommend Product – Footwear News
New Emarsys Tool Uses AI & Image Recognition to Recommend Product – Footwear News × Re-route my subscription: Click here Instagram Twitter LinkedIn Facebook Pinterest YouTube Flipboard icon Flipboard News Break icon News Break Footwearnews.com Menu Business Fashion Focus Sourcing Journal Shop Subscribe Magazine Newsletters Newsletters Business Retail Nov 9, 2020 5:30PM PT This New Tool Uses Details Too Small for the Human Eye to Make Personalized Recommendations By Madeleine Streets Madeleine Streets More Stories By Madeleine This New Tool Uses Details Too Small for the Human Eye to Make Personalized Recommendations Lenzing Offers New Way for Brands to Track Fibers from Source to Sale, With New Partnership Why Inventory Tracking and Management Will Matter More Than Ever This Holiday Season View All Facebook Twitter Tumblr Pin It Reddit Show more sharing options LinkedIn WhatsApp Email Print CREDIT: ST.art - Adobe Stock AI-driven personalization tools are being rolled out by technology companies in order to help retailers provide a more customized experience. The latest feature from omnichannel engagement platform Emarsys is aiming to improve the personalization performance of retailers, by tailoring each experience to the individual consumer and not to larger shopper segments. Personalization is a growing area of investment for merchants, as consumers expect to be served an individual experience, especially from online retailers that they visit regularly. Recent studies have shown that when retailers recognize a returning customer and tailor their shopping journey accordingly, consumers report being more likely to purchase and more likely to return in the future. Much like a store associate might remember a consumer’s face, e-commerce sites should remember a frequent customer. But many current solutions create customized experiences tied to a particular demographic or subsection of the consumer base – not to the individual shopper. While this can still produce some positive results, it is not as effective as a solution that can identify each personal nuance and respond accordingly. Watch on FN “Being able to personalise on a genuinely one-to-one level with customers, based entirely on their behaviour and preferences, is something that even Amazon can only dream of,” said Raj Balasundaram, SVP of AI at Emarsys. With the new Emarsys “AI Stylist” tool, retailers will be able to recommend products to each customer that match their browsing and purchase history. By tapping into Google Cloud’s image recognition technology, products from the retail catalog can be tagged according to material, texture, color, pattern and fit – including details unrecognizable to the human eye. When a retailer makes a tailored recommendation to an individual shopper, they are more likely to purchase. CREDIT: nikolas_stock - Adobe Stock This information is then cross-referenced with shopper behavior online, looking at both browsing and purchase activity, in order to gauge preferences. This analysis is used to generate personalized product recommendations, which are automatically served to the shopper in order to guide the shopper journey and prompt additional purchasing. Not only does this improve the customer’s experience and increase the chance of add-on sales, but tools like AI Stylist can also inform merchandising strategy. The use of artificial intelligence means that the recommendations will only grow more accurate over time, providing clear insight into the most popular product styles and features. This information can help retailers manage their current inventory, plan for future assortments, and inform future collections. “It’s about shifting from thinking about broad terms like ‘demand’ to the individual preferences and need of individual customers,” said Paul Gunn, head of digital marketing and CRM at Frasers Group, parent of Sports Direct. “One of the things that COVID-19 highlighted was the fact that trends are very difficult if you’re always looking at them in retrospect, and AI Stylist enables us to automate in a way that recognises trends as they’re being created.” Insight into upcoming trends can also help reduce waste, by minimizing the amount of product that will remain unsold at the end of the season. With many companies trying to improve their sustainability performance, this can be a useful way to make manufacturing  simultaneously more efficient and economical. Want to read more articles like this one? Subscribe to FN Today Leave a Comment TAGS: Emarsys Sponsored By FFCF QVC Presents FFANY Shoes on Sale: The Sale Will Go On In a year full of challenges, the footwear community has made sure that Shoes on Sale will thrive in 2020. Learn More Women's From ‘Star Wars’ to ‘Frozen,’ the Best Disney Face Masks for Adults to Buy Now JavaScript is required to load the comments. Loading comments... Shop the News Women's From ‘Star Wars’ to ‘Frozen,’ the Best Disney Face Masks for Adults to Buy Now Health 11 Best-Selling Foot Peel Masks to Keep Your Feet Super Soft Women's 14 Nail Polish Color Trends You’re About to See Everywhere This Summer OPI Funny Bunny Polish $9 Sneakers The Best Dior Sneakers and Charms You Can Shop Now Dior B23 Sneaker in Gradient Blue Dior Oblique Canvas $990 Get the Latest Issue Only $19.99 for one year! Subscribe Now Must Read Stories Business All the Brands and Retailers Helping to Get Out the Vote in November Shop The Best Shoe Organizers to Store Your Favorite Footwear Business Here Are the Most In-Demand Jobs This Holiday Season FN About Us Accessibility Advertise Contact Us PMC Fashion & Luxury Events Legal Terms & Conditions Privacy Policy EU Privacy Preferences AdChoices California Privacy Rights Do Not Sell My Personal Information Subscribe Magazine Newsletters ConnectInstagram Twitter LinkedIn Facebook Pinterest YouTube Flipboard icon Flipboard News Break icon News Break The Heart and Sole of the Footwear Industry © 2020 Fairchild Publishing, LLC, a subsidiary of Penske Business Media, LLC.FN and Footwear News are registered trademarks of Fairchild Publishing, LLC. All rights reserved. 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New Emarsys Tool Uses AI & Image Recognition to Recommend Product
New Emarsys Tool Uses AI Image Recognition Recommend Product Footwear News Reroute subscription: Click Instagram Twitter LinkedIn Facebook Pinterest YouTube Flipboard icon Flipboard News Break icon News Break Menu Business Fashion Focus Sourcing Journal Shop Magazine Newsletters Newsletters Business Retail Nov 9, 2020 5:30PM PT This New Tool Uses Details Too Small Human Eye Make Personalized Recommendations By Madeleine Streets Madeleine Streets More Stories By Madeleine This New Tool Uses Details Too Small Human Eye Make Personalized Recommendations Lenzing Offers New Way Brands Track Fibers Source Sale, With New Partnership Why Inventory Tracking Management Will Matter More Than Ever This Holiday Season View All Facebook Twitter Tumblr Pin It Reddit Show sharing options LinkedIn WhatsApp Email Print CREDIT: ST.art Adobe Stock AIdriven personalization tools rolled technology companies order help retailers provide customized experience. The latest feature omnichannel engagement platform Emarsys aiming improve personalization performance retailers, tailoring experience individual consumer larger shopper segments. Personalization growing area investment merchants, consumers expect served individual experience, especially online retailers visit regularly. Recent studies shown retailers recognize returning customer tailor shopping journey accordingly, consumers report likely purchase likely return future. Much like store associate remember consumers face, ecommerce sites remember frequent customer. But current solutions create customized experiences tied particular demographic subsection consumer base individual shopper. While produce positive results, effective solution identify personal nuance respond accordingly. Watch FN Being able personalise genuinely onetoone level customers, based entirely behaviour preferences, Amazon dream of, said Raj Balasundaram, SVP AI Emarsys. With new Emarsys AI Stylist tool, retailers able recommend products customer match browsing purchase history. By tapping Google Clouds image recognition technology, products retail catalog tagged according material, texture, color, pattern fit including details unrecognizable human eye. When retailer makes tailored recommendation individual shopper, likely purchase. CREDIT: nikolas_stock Adobe Stock This information crossreferenced shopper behavior online, looking browsing purchase activity, order gauge preferences. This analysis generate personalized product recommendations, automatically served shopper order guide shopper journey prompt additional purchasing. Not improve customers experience increase chance addon sales, tools like AI Stylist inform merchandising strategy. The use artificial intelligence means recommendations grow accurate time, providing clear insight popular product styles features. This information help retailers manage current inventory, plan future assortments, inform future collections. Its shifting thinking broad terms like demand individual preferences need individual customers, said Paul Gunn, head digital marketing CRM Frasers Group, parent Sports Direct. One things COVID19 highlighted fact trends difficult youre looking retrospect, AI Stylist enables automate way recognises trends theyre created. Insight upcoming trends help reduce waste, minimizing product remain unsold end season. With companies trying improve sustainability performance, useful way manufacturing simultaneously efficient economical. Want read articles like one? FN Today Leave Comment TAGS: Emarsys Sponsored By FFCF QVC Presents FFANY Shoes Sale: The Sale Will Go On In year challenges, footwear community sure Shoes Sale thrive 2020. Learn More Womens From Star Wars Frozen, Best Disney Face Masks Adults Buy Now JavaScript required load comments. Loading comments... Shop News Womens From Star Wars Frozen, Best Disney Face Masks Adults Buy Now Health 11 BestSelling Foot Peel Masks Keep Your Feet Super Soft Womens 14 Nail Polish Color Trends Youre About See Everywhere This Summer OPI Funny Bunny Polish 9 Sneakers The Best Dior Sneakers Charms You Can Shop Now Dior B23 Sneaker Gradient Blue Dior Oblique Canvas 990 Get Latest Issue Only 19.99 year Now Must Read Stories Business All Brands Retailers Helping Get Out Vote November Shop The Best Shoe Organizers Store Your Favorite Footwear Business Here Are Most InDemand Jobs This Holiday Season FN Accessibility Advertise Us PMC Fashion Luxury Events Legal Terms Conditions EU Privacy Preferences AdChoices California Privacy Rights Do Not Sell My Personal Information Magazine Newsletters ConnectInstagram Twitter LinkedIn Facebook Pinterest YouTube Flipboard icon Flipboard News Break icon News Break The Heart Sole Footwear Industry 2020 Fairchild Publishing, LLC, subsidiary Penske Business Media, LLC.FN Footwear News registered trademarks Fairchild Publishing, LLC. . 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1
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https://thedailychronicle.in/news/345173/covid-19-impact-on-electrophysiology-mapping-and-ablation-devices-sales-market-share-growth-demand-trends-region-wise-analysis-of-top-players-and-forecasts-arrow-international-inc-atricure-inc/
2020-08-22T00:00:00
en
Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts | Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc. – The Daily Chronicle
Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts | Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc. – The Daily Chronicle Skip to contentSkip to content The Daily Chronicle Toggle navigation Energy NASA Satellite Space News Contact Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts | Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc. Home / Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts | Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc. News Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts | Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc. By [email protected] 21st August 2020 “ Electrophysiology Mapping and Ablation Devices Sales Market 2020: Latest Analysis Chicago, United States:- The Electrophysiology Mapping and Ablation Devices Sales market report 5 Years Forecast [2020-2025] focuses on the COVID19 Outbreak Impact analysis of key points influencing the growth of the market. The intelligence report prepared contains details on the leading players of the Global Electrophysiology Mapping and Ablation Devices Sales Market, along with various depending aspects related and associated with the market. Profile the Top Key Players of Electrophysiology Mapping and Ablation Devices Sales, with sales, revenue and global market share of Electrophysiology Mapping and Ablation Devices Sales are analyzed emphatically by landscape contrast and speak to info. Upstream raw materials and instrumentation and downstream demand analysis is additionally administrated. The Electrophysiology Mapping and Ablation Devices Sales market business development trends and selling channels square measure analyzed. Electrophysiology Mapping and Ablation Devices Sales industry research report enriched on worldwide competition by topmost prime manufactures which providing information such as Company Profiles, Gross, Gross Margin, Capacity, Product Picture and Specification, Production, Price, Cost, Revenue and contact information. Top Players of Electrophysiology Mapping and Ablation Devices Sales Market are Studied: Arrow International Inc., AtriCure Inc., Biosense Webster Inc., Boston Scientific Corp., C.R. Bard Inc., Endosense SA, Hansen Medical Inc., Medtronic Inc., St. Jude Medical Inc., Stereotaxis Download Free Sample PDF (including full TOC, Tables, and Figures) of Electrophysiology Mapping and Ablation Devices Sales Market Research 2020-2026:- @ Global Electrophysiology Mapping and Ablation Devices Sales Market is estimated to reach xxx million USD in 2020 and projected to grow at the CAGR of xx% during 2020-2026. According to the latest report added to the online repository of Report Hive Research the Electrophysiology Mapping and Ablation Devices Sales market has witnessed an unprecedented growth till 2020. The extrapolated future growth is expected to continue at higher rates by 2026. Our exploration specialists acutely ascertain the significant aspects of the global Electrophysiology Mapping and Ablation Devices Sales market report. It also provides an in-depth valuation in regards to the future advancements relying on the past data and present circumstance of Electrophysiology Mapping and Ablation Devices Sales market situation. In this Electrophysiology Mapping and Ablation Devices Sales report, we have investigated the principals, players in the market, geological regions, product type, and market end-client applications. The global Electrophysiology Mapping and Ablation Devices Sales report comprises of primary and secondary data which is exemplified in the form of pie outlines, Electrophysiology Mapping and Ablation Devices Sales tables, analytical figures, and reference diagrams. The Electrophysiology Mapping and Ablation Devices Sales report is presented in an efficient way that involves basic dialect, basic Electrophysiology Mapping and Ablation Devices Sales outline, agreements, and certain facts as per solace and comprehension. Segmentation by Application: Atrial Fibrillation Premature Ventricular Contractions (PVC) Atrial Flutter AV Re-entrant Tachycardia AV Nodal Tachycardia   Segmentation by Type: Conventional Advanced Ultrasound Cryoablation Microwave NOTE:Due to the pandemic, we have included a special section on the Impact of COVID 19 on the Electrophysiology Mapping and Ablation Devices Sales Market which would mention How the Covid-19 is Affecting the Electrophysiology Mapping and Ablation Devices Sales Industry, Market Trends and Potential Opportunities in the COVID-19 Landscape, Covid-19 Impact on Key Regions and Proposal for Electrophysiology Mapping and Ablation Devices Sales Players to Combat Covid-19 Impact. The Essential Content Covered in the Global Electrophysiology Mapping and Ablation Devices Sales Market Report : * Top Key Company Profiles. * Main Business and Rival Information * SWOT Analysis and PESTEL Analysis * Production, Sales, Revenue, Price and Gross Margin * Market Share and Size The report provides a 6-year forecast (2020-2026) assessed based on how the Electrophysiology Mapping and Ablation Devices Sales market is predicted to grow in major regions like USA, Europe, Japan, China, India, Southeast Asia, South America, South Africa, Others. Years that have been considered for the study of this report are as follows: History Year: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2020 to 2025 Key Questions Answered In this Report: What is the overall market size in 2019? What will be the market growth during the forecast period i.e. 2020-2026? Which region would have high demand for product in the upcoming years? What are the factors driving the growth of the market? Which sub-market will make the most significant contribution to the market? What are the market opportunities for existing and entry-level players? What are various long-term and short-term strategies adopted by the market players? What are the key business strategies being adopted by new entrants in the Electrophysiology Mapping and Ablation Devices Sales Market? Get Full Customize report or for any Special Discount [email protected] https://www.reporthive.com/request_customization/2398549 Table of Contents Report Overview: It includes major players of the global keyword market covered in the research study, research scope, and market segments by type, market segments by application, years considered for the research study, and objectives of the report. Global Growth Trends: This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global keyword market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global keyword market are discussed. Market Share by Manufacturers: Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers. Market Size by Type: This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed. Market Size by Application: Besides an overview of the global keyword market by application, it gives a study on the consumption in the global keyword market by application. Production by Region: Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided. Consumption by Region: This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type. Company Profiles: Almost all leading players of the global keyword market are profiled in this section. The analysts have provided information about their recent developments in the global keyword market, products, revenue, production, business, and company. Market Forecast by Production: The production and production value forecasts included in this section are for the global keyword market as well as for key regional markets. Market Forecast by Consumption: The consumption and consumption value forecasts included in this section are for the global keyword market as well as for key regional markets. Value Chain and Sales Analysis: It deeply analyzes customers, distributors, sales channels, and value chain of the global keyword market. Key Findings: This section gives a quick look at the important findings of the research study. Get Free Sample Copy of this report: https://www.reporthive.com/request_sample/2398549 COVID-19 impact on Electrophysiology Mapping and Ablation Devices Sales Market Share, Size, Revenue, Gross Margin and Growth Rate Analysis 2020-2026 Why Go For Report Hive Research? Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis and forecast data on products and services, markets and companies. Our clientele ranges mix of global business leaders, government organizations, SME’s, individuals and Start-ups, top management consulting firms, universities, etc. Our library of 700,000 + reports targets high growth emerging markets in the USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy and Power, Manufacturing, Automotive and Transportation, Food and Beverages, etc. This large collection of insightful reports assists clients to stay ahead of time and competition. We help in business decision-making on aspects such as market entry strategies, market sizing, market share analysis, sales and revenue, technology trends, competitive analysis, product portfolio, and application analysis, etc. Get in Touch with Us : Report Hive Research Speak to Research Analyst: +1-312-604-7084   Recent Posts Consumer Demand for Eco-friendly Products Set to Boost the Prospects of the Diatomite Market 2015 – 2021 Magnetic Alloys Market Poised to Garner Maximum Revenues During 2018 to 2028 Market Players Eye Opportunities in Emerging Economies to Gain Ground in the Electronic Board Level Underfill and encapsulation Material Market 2017 – 2025 Lauoryl Chloride Market : Information, Figures and Analytical Insights 2018 to 2028 Promising Opportunities in North America and Europe to Propel the Growth of the Prostate Cancer Screening Market 2017 – 2025 Archives August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 Categories Coronavirus Energy NASA News Satellite Space Meta Log in Entries feed Comments feed WordPress.org © 2020 - The Daily Chronicle | WordPress Theme By A WP Life | Powered by WordPress.org
Covid-19 Impact On Electrophysiology Mapping and Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis of Top Players and Forecasts
Covid19 Impact On Electrophysiology Mapping Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis Top Players Forecasts Arrow International ., AtriCure ., Biosense Webster ., Boston Scientific Corp., C.R. Bard . The Daily Chronicle Skip contentSkip content The Daily Chronicle Toggle navigation Energy NASA Satellite Space News Covid19 Impact On Electrophysiology Mapping Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis Top Players Forecasts Arrow International ., AtriCure ., Biosense Webster ., Boston Scientific Corp., C.R. Bard . Home Covid19 Impact On Electrophysiology Mapping Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis Top Players Forecasts Arrow International ., AtriCure ., Biosense Webster ., Boston Scientific Corp., C.R. Bard . News Covid19 Impact On Electrophysiology Mapping Ablation Devices Sales Market Share, Growth, Demand, Trends, Region Wise Analysis Top Players Forecasts Arrow International ., AtriCure ., Biosense Webster ., Boston Scientific Corp., C.R. Bard . By [emailprotected] 21st August 2020 Electrophysiology Mapping Ablation Devices Sales Market 2020: Latest Analysis Chicago, United States: The Electrophysiology Mapping Ablation Devices Sales market report 5 Years Forecast [20202025] focuses COVID19 Outbreak Impact analysis key points influencing growth market. The intelligence report prepared contains details leading players Global Electrophysiology Mapping Ablation Devices Sales Market, depending aspects related associated market. Profile Top Key Players Electrophysiology Mapping Ablation Devices Sales, sales, revenue global market share Electrophysiology Mapping Ablation Devices Sales analyzed emphatically landscape contrast speak info. Upstream raw materials instrumentation downstream demand analysis additionally administrated. The Electrophysiology Mapping Ablation Devices Sales market business development trends selling channels square measure analyzed. Electrophysiology Mapping Ablation Devices Sales industry research report enriched worldwide competition topmost prime manufactures providing information Company Profiles, Gross, Gross Margin, Capacity, Product Picture Specification, Production, Price, Cost, Revenue contact information. Top Players Electrophysiology Mapping Ablation Devices Sales Market Studied: Arrow International ., AtriCure ., Biosense Webster ., Boston Scientific Corp., C.R. Bard ., Endosense SA, Hansen Medical ., Medtronic ., St. Jude Medical ., Stereotaxis Download Free Sample PDF including TOC, Tables, Figures Electrophysiology Mapping Ablation Devices Sales Market Research 20202026: @ Global Electrophysiology Mapping Ablation Devices Sales Market estimated reach xxx million USD 2020 projected grow CAGR xx 20202026. According latest report added online repository Report Hive Research Electrophysiology Mapping Ablation Devices Sales market witnessed unprecedented growth till 2020. The extrapolated future growth expected continue higher rates 2026. Our exploration specialists acutely ascertain significant aspects global Electrophysiology Mapping Ablation Devices Sales market report. It provides indepth valuation regards future advancements relying past data present circumstance Electrophysiology Mapping Ablation Devices Sales market situation. In Electrophysiology Mapping Ablation Devices Sales report, investigated principals, players market, geological regions, product type, market endclient applications. The global Electrophysiology Mapping Ablation Devices Sales report comprises primary secondary data exemplified form pie outlines, Electrophysiology Mapping Ablation Devices Sales tables, analytical figures, reference diagrams. The Electrophysiology Mapping Ablation Devices Sales report presented efficient way involves basic dialect, basic Electrophysiology Mapping Ablation Devices Sales outline, agreements, certain facts solace comprehension. Segmentation Application: Atrial Fibrillation Premature Ventricular Contractions PVC Atrial Flutter AV Reentrant Tachycardia AV Nodal Tachycardia Segmentation Type: Conventional Advanced Ultrasound Cryoablation Microwave NOTE:Due pandemic, included special section Impact COVID 19 Electrophysiology Mapping Ablation Devices Sales Market mention How Covid19 Affecting Electrophysiology Mapping Ablation Devices Sales Industry, Market Trends Potential Opportunities COVID19 Landscape, Covid19 Impact Key Regions Proposal Electrophysiology Mapping Ablation Devices Sales Players Combat Covid19 Impact. The Essential Content Covered GlobalElectrophysiology Mapping Ablation Devices Sales Market Report: Top Key Company Profiles. Main Business Rival Information SWOT Analysis PESTEL Analysis Production, Sales, Revenue, Price Gross Margin Market Share Size The report provides 6year forecast 20202026 assessed based Electrophysiology Mapping Ablation Devices Sales market predicted grow major regions like USA, Europe, Japan, China, India, Southeast Asia, South America, South Africa, Others. Years considered study report follows: History Year: 20152019 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2020 2025 Key Questions Answered In Report: What overall market size 2019? What market growth forecast period i.e. 20202026? Which region high demand product upcoming years? What factors driving growth market? Which submarket significant contribution market? What market opportunities existing entrylevel players? What longterm shortterm strategies adopted market players? What key business strategies adopted new entrants Electrophysiology Mapping Ablation Devices Sales Market? Get Full Customize report Special Discount [emailprotected] Table Contents Report Overview: It includes major players global keyword market covered research study, research scope, market segments type, market segments application, years considered research study, objectives report. Global Growth Trends: This section focuses industry trends market drivers market trends shed light upon. It provides growth rates key producers operating global keyword market. Furthermore, offers production capacity analysis marketing pricing trends, capacity, production, production value global keyword market discussed. Market Share Manufacturers: Here, report provides details revenue manufacturers, production capacity manufacturers, price manufacturers, expansion plans, mergers acquisitions, products, market entry dates, distribution, market areas key manufacturers. Market Size Type: This section concentrates product type segments production value market share, price, production market share product type discussed. Market Size Application: Besides overview global keyword market application, gives study consumption global keyword market application. Production Region: Here, production value growth rate, production growth rate, import export, key players regional market provided. Consumption Region: This section provides information consumption regional market studied report. The consumption discussed basis country, application, product type. Company Profiles: Almost leading players global keyword market profiled section. The analysts provided information recent developments global keyword market, products, revenue, production, business, company. Market Forecast Production: The production production value forecasts included section global keyword market key regional markets. Market Forecast Consumption: The consumption consumption value forecasts included section global keyword market key regional markets. Value Chain Sales Analysis: It deeply analyzes customers, distributors, sales channels, value chain global keyword market. Key Findings: This section gives quick look important findings research study. Get Free Sample Copy report: COVID19 impact Electrophysiology Mapping Ablation Devices Sales Market Share, Size, Revenue, Gross Margin Growth Rate Analysis 20202026 Why Go For Report Hive Research? Report Hive Research delivers strategic market research reports, statistical surveys, industry analysis forecast data products services, markets companies. Our clientele ranges mix global business leaders, government organizations, SMEs, individuals Startups, management consulting firms, universities, etc. Our library 700,000 reports targets high growth emerging markets USA, Europe Middle East, Africa, Asia Pacific covering industries like IT, Telecom, Semiconductor, Chemical, Healthcare, Pharmaceutical, Energy Power, Manufacturing, Automotive Transportation, Food Beverages, etc. This large collection insightful reports assists clients stay ahead time competition. We help business decisionmaking aspects market entry strategies, market sizing, market share analysis, sales revenue, technology trends, competitive analysis, product portfolio, application analysis, etc. Get Touch Us : Report Hive Research Speak Research Analyst: 13126047084 Recent Posts Consumer Demand Ecofriendly Products Set Boost Prospects Diatomite Market 2015 2021 Magnetic Alloys Market Poised Garner Maximum Revenues During 2018 2028 Market Players Eye Opportunities Emerging Economies Gain Ground Electronic Board Level Underfill encapsulation Material Market 2017 2025 Lauoryl Chloride Market : Information, Figures Analytical Insights 2018 2028 Promising Opportunities North America Europe Propel Growth Prostate Cancer Screening Market 2017 2025 Archives August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 Categories Coronavirus Energy NASA News Satellite Space Meta Log Entries feed Comments feed 2020 The Daily Chronicle WordPress Theme By A WP Life Powered
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https://seekingalpha.com/article/4346733-ambac-financial-group-inc-ambc-ceo-claude-leblanc-on-q1-2020-results-earnings-call-transcript
2020-05-12T00:00:00
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Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2020 Results - Earnings Call Transcript | Seeking Alpha
Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2020 Results - Earnings Call Transcript | Seeking AlphaSeeking AlphaSign inMarketplaceSubscribe PremiumPremium OverviewCompare Stocks & FundsNotable CallsNews DashboardTop Rated StocksTop Dividend StocksTop REITsTop Growth StocksMy PortfolioAll Portfolios+ Create PortfolioManage Email SummaryManage Real Time Email AlertsAuthorsMy AuthorsAuthor Email AlertsLatest StockTalksTop StocksRatings ScreenerETF ScreenerLatest NewsLatest NewsNotable CallsOn The MoveTop NewsWall Street BreakfastIPO NewsM&A NewsU.S. EconomyTech NewsEnergy NewsHealthcare NewsCrypto NewsTop Movers on EarningsEarnings NewsEarnings CalendarSee All Sections »MarketsMarket OutlookToday’s Market EconomyGold and Precious MetalsCommoditiesForexReal EstateEditors PicksCryptocurrenciesGlobal Investing CenterStock IdeasLong IdeasIPO AnalysisQuick Picks and ListsFund LettersClosed End FundsStock Ideas by SectorStock Ideas Editors PicksShort IdeasDividendsDividend IdeasDividend NewsREITsDividend StrategyDividend Quick PicksDividend ETFsReal Estate ETFsDividend Editors PicksFixed IncomeRetirementETFsETF AnalysisETF ScreenerEditors' PicksLet’s Talk ETFsETF Performance - SectorsETF Performance - CountriesETF Performance - Market CapInvesting StrategyInvesting StrategyEditors' PicksPortfolio StrategyFinancial AdvisorPodcastsLatest PodcastsWall Street BreakfastCannabis InvestingBehind the IdeaLet’s Talk ETFsSA for FAsMarketplace RoundtableInvesting EdgeAlpha TraderHelp & SupportKnowledge BaseFeedback ForumSeeking AlphaTranscripts | FinancialAmbac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2020 Results - Earnings Call TranscriptMay 12, 2020 2:34 PM ET|| About: Ambac Financial Group, Inc. (AMBC)by: SA TranscriptsSubscribers OnlyEarning Call AudioAmbac Financial Group, Inc. (NYSE:AMBC) Q1 2020 Earnings Conference Call May 12, 2020 8:30 AM ET Company Participants Lisa Kampf - MD, IR Claude LeBlanc - President, CEO & Director David Trick - EVP, CFO & Treasurer Conference Call Participants Giuliano Bologna - BTIG Operator Good morning, and welcome to the Ambac Financial Group, First Quarter 2020 Earnings Call [Operator Instructions]. As a reminder, this conference is being recorded. It is now my pleasure to introduce your host, Ms. Lisa Kampf, Head of Investor Relations; Claude LeBlanc, Chief Executive Officer; and David Trick, Chief Financial Officer. I will now turn the call over to Lisa. Lisa Kampf Thank you. Good morning and thank you all for joining today's conference call to discuss Ambac Financial Group's first quarter 2020 financial results. We hope everyone is doing well. We'd like to remind you that today's presentation may contain forward-looking statements, which are based on management's current expectations and are subject to uncertainty and changes in circumstances. Any forward-looking statements are not guarantees of future performance of events. Actual performance and events may differ possibly materially from such forward-looking statements. Factors that could cause this include the factors described in our most recent SEC filed quarterly or annual reports under Management's Discussion and Analysis of Financial Condition and Results of Operation and under Risk Factors. Ambac is not under any obligation and expressly disclaims any obligation to update any forward-looking statements, whether as a result of new information, future events or otherwise. Today's presentation contains non-GAAP financial measures. The reconciliations of such measures to the most comparable GAAP figures are included in our earnings press release, which is available on our website at ambac.com. Please note that presentations have been posted to the Events and Presentations section of our IR website, which support our comments today. Due to shelter in place restrictions, management is participating in this call, from remote location. If technical difficulties occur and we have to terminate the call, you will be able to read the transcript of our prepared remarks, which we posted on the Investor Relations section of our website. In addition, management will be available to address any questions that remain unanswered. Please feel free to contact me, via the contact information in our press release to schedule a call. I would now like to turn the call over to Mr. Claude LeBlanc. Claude LeBlanc Thank you, Lisa. For those of you joining us on today’s call, we hope that you and your families are managing through this unprecedented crisis and keeping safe. We would first like to express our gratitude to all the first responders who have been risking their lives on the frontlines, fighting with the COVID-19 pandemic. Our thoughts are with those directly impacted by this crisis. With regards to Ambac, we are currently working remotely, to protect the health and wellbeing of all our employees and colleagues. Thanks to the efforts of all our employees, our business continues to operate without interruption. The fast moving and evolving nature of COVID-19 has created significant economic uncertainty with global and U.S. GDP forecast showing sharp declines. In the U.S. monitoring fiscal policies, particularly the CARES Act has help to moderate some of the negative economic impact. However, credit remains a big concern given the uncertainty as to the severity and duration of COVID-19 related disruptions. Financial markets and economic volatility resulting from the COVID pandemic have impacted or insured and investment portfolios as reflected in our financial results released yesterday. We reported a net loss of $280 million or $6.07 per diluted share for the first quarter of 2020 and an adjusted loss of $265 million or $5.75 per diluted share. At March 31, 2020, our book value and adjusted book value were $21.88 and $22.11 per share, respectively. This quarter's results were primarily driven by the steep decline in the forward rate curve, impacting the discount rate on our GAAP reserves. Mark-to-market losses on our investment and derivative portfolios as well as losses on our macro hatch. While we increased economic losses in our insured portfolio during the quarter, primarily tied to our municipal finance exposures, this was more than offset by higher expected excess spread recoveries in our MBS portfolios. David will provide a more detailed review of our quarterly results in a few minutes. While the ultimate economic outcome of the COVID-19 pandemic remains uncertain, we believe that the results to-date of our de-risking strategy provide us with a stronger platform to navigate through this challenging period. Turning now to insured portfolio or risk and surveillance teams have been performing in depth reviews on credits most exposed to the COVID disruption and the ensuing economic recession. To-date, we have not had any COVID-19 related claims, and many issuers have funds on hand or alternative means to meet their near-term obligations. As we assess our portfolio and the effects of the pandemic, we're closely monitoring our exposures, and we have moved certain credits to the adverse classified category and increased economic reserves for others based on our risk assessment. These changes primarily relate to certain U.S. public finance, and certain securitizations, including mortgage backed securities and student loans. In our public finance portfolio, we consider exposures most immediately impact by the decrease in economic activity to include certain hotel occupancy tax backed deals and sitting financings, which are dependent upon narrow revenue or tax streams that have declined precipitously since stay in place orders have enacted. Other sectors, we are closely monitoring include transportation, hospitals, and private higher education. While it is still too early to assess the full impact of the global pandemic, and associated recession, there exists significant protection in the majority of our impacted transactions, which we believe will mitigate ultimate losses, even if claims are paid to cover liquidity shortfalls in the near term. We've also been assessing the impact of the significant monetary and fiscal stimulus by the federal government, which has initiated numerous measures, including those beneficial to states and municipalities. While we believe these programs will help soften the impact of liquidity and credit risk to the municipal market, we also believe significant additional actions will be required. In support of municipalities and states, we have been sharing our views with decision makers in the federal government about ways to alleviate fiscal pressures for municipal entities, as Congress, Treasury, and others in Washington develop and implement programs to aid the public sector and dealing with the consequences of the pandemic. Turning now to structured finance, a weaker U.S. consumer highlighted by 33.5 million new jobless claims over the past seven weeks will likely result in higher delinquencies and potentially incremental losses to our MBS and private student loan exposures. However, lower interest rates have sharply increased the expected excess spread recoverable in our first lien MBS portfolio, offsetting much of the expected impact of the deterioration associated with the COVID-19 pandemic for consumer asset portfolio. I would like to remind everyone that our MBS and private student loan portfolios are very seasoned and have been reduced by more than 90% since the great recession. Moreover, remaining borrowers are in a better position to face this crisis, with overall improved equity in their homes, and better household balance sheets. Nonetheless, near-term challenges in these sectors are expected and we are in active dialogue with servicers of these consumer assets, in particular evaluating the potential impact of recently enacted forbearance and payment moratorium measures. With regards to our de-risking efforts, activity slowed during the first quarter as a result of the significant market disruption. However, we were still able to execute a number of transactions, including the commutation of the last of our remaining Chicago deal exposures of $170 million. During the quarter, our total net par outstanding declined from $38 billion to $36 billion. As market conditions improved, we will aim to take advantage of additional opportunities to further de-risk our watch lists and averse classified credits. Turning now to Puerto Rico, our thoughts are also with Puerto Rico as it deals with the crisis caused by COVID-19. Having shown great resilience in the face of harsh conditions in the past, we believe that Puerto Rico will do so again. We expect COVID-19 will be sufficiently addressed in due course, and over the medium to longer-term, Puerto Rico may be better positioned versus other U.S. economies to take advantage of certain post-pandemic opportunities. This includes the potential for expansion of its domestic pharmaceutical and medical device manufacturing base, and the revitalization of its recently redeveloped an expanded tourism industry. We believe the longer-term fundamentals of the island remain strong and will improve overtime. In the meantime, we hope the Oversight Board will choose to stop spending hundreds of millions and taxpayer money on unnecessary legal battles including challenging the lawful party and liens of revenue bonds. The effects of certain court decisions during the Puerto Rico bankruptcy have upended municipal markets and created meaningful challenges and uncertainty for municipalities and state issuers. The Oversight Board is currently advancing legal arguments that if successful could have a severe and permanent impact on municipalities and states throughout the country leading to widespread destruction of value and increased taxes for U.S. taxpayers. Given the significant challenges facing the U.S. municipal market stemming from COVID-19, the Oversight Board and their advisors should immediately refocus their efforts on consensual resolution of the crisis in Puerto Rico as was expected when the federal government enacted PROMESA. Ambac remains committed to working with the Oversight Board and the Commonwealth to achieve holistic, consensual, and durable resolutions for Puerto Rico. Negotiating consensually in good faith with a broad set of Commonwealth creditors is the only way to help Puerto Rico successfully navigate the challenges and opportunities in a month and years ahead and restore access to capital markets. Regarding our loss recovery efforts, given the challenges impacting courts throughout our nation, the timeline of our RMBS litigation has also been extended. As the New York state courts look to manage through this pandemic, not unlike many other currently scheduled trials. The previously scheduled July 13, 2020 trial date in our case against Countrywide and Bank of America has been vacated. We will seek to reschedule the trial once greater clarity develops about when it can be conducted. In the meantime, we're still waiting for the first department to determine whether it gets decision on Countrywide's Pretrial motion should be reviewed by the New York court of appeals as Countrywide requested. Countrywide has also asked that our judge wait for the court of appeals to decide on pending appeals in two non-Ambac RMBS related cases before proceeding with our trial. We have also opposed this request. We continue to believe in the mirrors and strength of our case and look forward to its resolution at the earliest possible opportunity. On the new business front, we remain very active in assessing opportunities to deploy capital on new business initiatives in the insurance and credit space and we believe the market dislocation and global recession may present more opportunities to acquire businesses and make investments at attractive valuations. However, we also recognize that we may face additional challenges in executing new business transactions given the uncertainty and volatility in the market. I will now turn the call over to David Trick to discuss our financial results in more detail. David? David Trick Thank you, Claude, and good morning everyone. As Claude commented, the main contributor to our results for the first quarter of 2020 was the impact of the COVID-19 pandemic on the economy and financial markets. Lower interest rates, higher market risk premiums, and the expected financial impact on certain insured transactions were the primary drivers to the first quarter net loss on derivatives, investments in our insured portfolio. During the first quarter of 2020 Ambac reported a net loss of $280 million or $6.07 per diluted share compared to a net loss of $110 million or $2.40 per diluted share in the fourth quarter of 2019. Adjusted loss for the first quarter was $265 million or $5.75 per diluted share compared to adjusted loss of $88 million or a $1.91 per diluted share in the fourth quarter. The principle variance between adjusted and net loss for the first quarter was $13 million of insurance intangible amortization. Touching on some specifics, premiums earned were $10 million in the first quarter versus $20 million during the fourth quarter. In addition to continue to run off of the portfolio, the decrease was mainly due to an improvement in the allowance for premium receivable credit losses in the fourth quarter versus an increase in the allowance in the first quarter. Investments excluding realized gains produced a net loss for the first quarter of $21 million down from net income of $42 million in the fourth quarter of 2019. Mark-to-market losses on limited partnership in other pooled investments are $52 million accounted for the first quarter net investment loss. Despite some de-risking of exposure to these asset classes towards the end of February, significant declines in asset values due to the drastically higher risk premiums associated with the market dislocation that occurred in March related to the COVID-19 pandemic and kind of for the adverse performance in our global portfolio of equity, high yield credit and asset backed investments. Subject to future trading decisions we may make, our current view is that the significant majority of these mark-to-market losses are temporary in nature. And to that point, we have already begun to observe a reversal of these losses during April, with a couple of funds experiencing high single-digit returns for the month. The market dislocation that led to these negative results also provided us the opportunity to deploy some capital in and back and short securities and select other assets at a relatively favorable level late in the first quarter and early second quarter. Income from available for sale securities was $31 million in the first quarter versus $34 million in the fourth quarter. The decline being mostly attributable to redemptions of owned LSNI notes and claims and other payments. Loss and loss expenses incurred were $117 million in the first quarter compared to $97 million in the fourth quarter of 2019. Lower discount rates in the first quarter cause noneconomic incurred losses of approximately $190 million. As we present valued or expected loss cash flows using a discount rate on average of 115 basis points lower than the prior quarter. Lower discount rates had the most profound impact on the public finance and short portfolio due to the long-term nature of claims in that sector and relative size of reserves. As a result, in current public finance losses were $178 million in the first quarter, compared to $54 million in the fourth quarter. Incurred public finance losses, excluding the impact of interest rates, related to assumption changes on previously reserved transactions and the establishment of new reserves for insured exposures exposed to COVID-19 amounted to 67 million in the first quarter. The RMBS benefit of $83 million in the first quarter, compared to a loss of $40 million in the fourth quarter was due to an increase in expected excess spread recoveries of $130 million resulting from lower interest rates, and higher estimated representation and warranty subrogation recoveries of $36 million resulting from lower discount rates partially offset by an $83 million negative impact from lower discount rates and higher expected losses, due to the decline in economic conditions from the COVID-19 pandemic. Net loss and loss expenses for student loans was $14 million, up from $5 million in the fourth quarter of 2019, due to incurred losses, driven by changes in assumptions and lower discount rates that were partially offset by additional expected excess spread, resulting from lower interest rates. In the aggregate, estimated incurred losses excluding the impact of any interest and discount rate shifts. The first quarter were approximately $97 million, which primarily reflect the proactive establishment of new and increase reserves related to the impact of COVID-19 on our ashore transactions and other assumption changes. These losses were more than offset by additional expected excess spread from RMBS and student loans of $170 million. Net losses on derivative contracts are $70 million for the first quarter compared to a gain of $12 million for the fourth quarter. The loss in the first quarter was driven by significant declines in forward interest rates, which are more than offset by gains in RMBS excess spreads and elsewhere in $30 million of adverse counterparty credit adjustments on interest rate derivative assets. The interest rate derivatives portfolio is positioned as a partial economic hedge against the interest rate exposure in the financial guarantee and investment portfolios. As order rates declined, the hedge position was reduced materially during the first quarter. The first quarter counterparty credit adjustment relates to the impact of widening counterparty credit spreads and the downgrade of one counterparty against the backdrop of an increase in the associated swap receivable assets. We perform active credit surveillance on all of our derivatives counterparties and do not anticipate any counterparty credit losses and therefore we consider any CVA adjustments to be temporary in nature. Operating expenses for the first quarter of $23.5 million were relatively flat to $23.1 million in the fourth quarter. The modest difference was due to higher compensation and consulting fees, mostly offset by a reversal of UK VAT charges, lower legal expenses, and lower premises cost. The increase in compensation costs was mostly due to cyclical costs related to incentive compensation, including payroll taxes, whereas the higher consulting fees were due to an accrual reversal that occurred in the fourth quarter of 2019. Interest expense decreased $3 million in the first quarter to $63 million resulting from the partial redemption of $149 million of AAC's outstanding secured notes made at year-end and lower interest rates. During the first quarter, we redeemed an additional $77 million of the secured notes, which will contribute to further interest expense reductions in future periods. Turning to the balance sheet, shareholders' equity of $1 billion decreased $10.53 per share from December 31, 2019 to $21.88 per share at March 31, 2020, due to the net loss for the quarter, combined with a decline in unrealized gains on securities of $146 million in foreign currency translation losses of $46 million. Reduction in unrealized gains are further reflective of an increase in risk premiums, with the majority of the decrease related to investments in Ambac-insured, RMBS and ABS securities. Adjusted book value decreased to $1.01 billion at March 31, 2020 from $1.31 billion at December 31, 2019. On a per share basis, adjusted book value decreased $6.72 to $22.11 per share at March 31, 2020. This ABV decrease was primarily driven by the adjusted loss for the first quarter the impact of lower foreign exchange rates on assets held in Ambac UK. As for AFG on a standalone basis as of March 31, 2020, AFG had cash investments and net receivables of approximately $482 million, or $10.53 per share. I will now turn the call back to Claude some brief closing remarks. Claude LeBlanc Thank you, David. While we are in a period of great volatility, and the severity and duration of the pandemic will ultimately determine our success in mitigating any potential losses. We are in a better position today to face these challenges based on the actions taken today. Our value drivers and fundamentals remain strong, including one, we have no debt and $482 million of net assets at AFG our holding company. Two, our claims paying resources of $5.2 billion and the timely payment of all our claims in full. Three, our consolidated investment portfolio of $3.4 billion in assets, with historically strong market performance. Four, our gross rent and warranty receivable of approximately $1.8 billion. Five, a total of $3.7 billion of NOLs available to shelter future taxable income at both AFG and AAC. And lastly, our significant expertise and resources that we will bring to bear to navigate through this period of uncertainty in order to maximize shareholder value. I would like to conclude by thanking our shareholders for your ongoing support, and our employees for their incredible effort and unwavering commitment to ensure the continued uninterrupted operation of our business. I would now like to turn the call back to the operator for questions. Question-and-Answer Session Operator Thank you. We will now be conducting the question and answer session. [Operator Instructions] Thank you. Our first question comes from the line of Giuliano Bologna with BTIG. Please proceed with your question. Giuliano Bologna Good morning, and thanks for taking my questions. I guess, starting off if - you had mentioned that there were some opportunities to buy Ambac rep securities at the end of the first quarter. I'd be curious if you still see opportunities out there and that there are also potentially opportunities to buy back some of Ambac's debt at a discount to par. David Trick Yeah, hi, Giuliano. Thanks for the call and the question. So yes, we did have the opportunity to buy some Ambac securities later in the third quarter. And, in particular, the beginning of third quarter - excuse me first quarter. And in particular in the early part of the second quarter. So, there are opportunities out there to buy back Ambac secured and other debt as well. There are certain restrictions that we have to operate under based on some of the governing guidelines of those instruments, particularly when it comes to liquidity management. But we did buy some actually Ambac LSNI notes during the quarter at our holding company at a reasonable discount to par and to take advantage of some of the trading opportunities there. But there are other capital and liquidity considerations that we need to manage when looking at opportunities to buy different parts of our capital structure. Giuliano Bologna That makes a lot of sense. And then thinking about the discussion around potentially buying a business or building a business with the holding company capital I know you've said that you've looked at many opportunities over the years. I'd be curious if you're seeing some opportunities come up, and if there's any shift in the industry is in sectors that are kind of the sub sectors that you might be looking at, given the volatility? Claude LeBlanc Actually, I think the answer is yes, there are certainly more opportunities that we are seeing any broader set of industries. Clearly, there's also a lot of uncertainty in the markets in some of the industries that we are focused on and insurance and credit as well. So, I think while there are more options, there's also more challenges in evaluating the risk associated with certain opportunities, but we have identified and are seeing some that are interesting, and we'll be continuing our active exploration of these opportunities. Giuliano Bologna That sounds good. Thank you for taking my questions. I appreciate it and I will jump back in the queue. Claude LeBlanc Thanks, Giuliano. Operator [Operator Instructions] Thank you. There are no further questions at this time. This will conclude today's conference. Thank you for your participation. You may disconnect your lines at this time.Follow SA Transcripts and get email alertsYour feedback matters to us!Error in this transcript? 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Ambac Financial Group, Inc. (AMBC) CEO Claude LeBlanc on Q1 2020 Results
Ambac Financial Group, . 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AMBC CEO Claude LeBlanc Q1 2020 Results Earnings Call TranscriptMay 12, 2020 2:34 PM ET About: Ambac Financial Group, . AMBCby: SA Transcriptsrs OnlyEarning Call AudioAmbac Financial Group, . NYSE:AMBC Q1 2020 Earnings Conference Call May 12, 2020 8:30 AM ET Company Participants Lisa Kampf MD, IR Claude LeBlanc President, CEO Director David Trick EVP, CFO Treasurer Conference Call Participants Giuliano Bologna BTIG Operator Good morning, welcome Ambac Financial Group, First Quarter 2020 Earnings Call [Operator Instructions]. As reminder, conference recorded. It pleasure introduce host, Ms. Lisa Kampf, Head Investor Relations; Claude LeBlanc, Chief Executive Officer; David Trick, Chief Financial Officer. I turn Lisa. Lisa Kampf Thank you. Good morning thank joining todays conference discuss Ambac Financial Groups quarter 2020 financial results. We hope well. Wed like remind todays presentation contain forwardlooking statements, based managements current expectations subject uncertainty changes circumstances. Any forwardlooking statements guarantees future performance events. Actual performance events differ possibly materially forwardlooking statements. Factors cause include factors described recent SEC filed quarterly annual reports Managements Discussion Analysis Financial Condition Results Operation Risk Factors. Ambac obligation expressly disclaims obligation update forwardlooking statements, result new information, future events otherwise. Todays presentation contains nonGAAP financial measures. The reconciliations measures comparable GAAP figures included earnings press release, available website . Please note presentations posted Events Presentations section IR website, support comments today. Due shelter place restrictions, management participating call, remote location. If technical difficulties occur terminate call, able read transcript prepared remarks, posted Investor Relations section website. In addition, management available address questions remain unanswered. Please feel free contact me, contact information press release schedule call. I like turn Mr. Claude LeBlanc. Claude LeBlanc Thank you, Lisa. For joining todays call, hope families managing unprecedented crisis keeping safe. We like express gratitude responders risking lives frontlines, fighting COVID19 pandemic. Our thoughts directly impacted crisis. With regards Ambac, currently working remotely, protect health wellbeing employees colleagues. Thanks efforts employees, business continues operate interruption. The fast moving evolving nature COVID19 created significant economic uncertainty global U.S. GDP forecast showing sharp declines. In U.S. monitoring fiscal policies, particularly CARES Act help moderate negative economic impact. However, credit remains big concern given uncertainty severity duration COVID19 related disruptions. Financial markets economic volatility resulting COVID pandemic impacted insured investment portfolios reflected financial results released yesterday. We reported net loss 280 million 6.07 diluted share quarter 2020 adjusted loss 265 million 5.75 diluted share. At March 31, 2020, book value adjusted book value 21.88 22.11 share, respectively. This quarters results primarily driven steep decline forward rate curve, impacting discount rate GAAP reserves. Marktomarket losses investment derivative portfolios losses macro hatch. While increased economic losses insured portfolio quarter, primarily tied municipal finance exposures, offset higher expected excess spread recoveries MBS portfolios. David provide detailed review quarterly results minutes. While ultimate economic outcome COVID19 pandemic remains uncertain, believe results todate derisking strategy provide stronger platform navigate challenging period. Turning insured portfolio risk surveillance teams performing depth reviews credits exposed COVID disruption ensuing economic recession. Todate, COVID19 related claims, issuers funds hand alternative means meet nearterm obligations. As assess portfolio effects pandemic, closely monitoring exposures, moved certain credits adverse classified category increased economic reserves based risk assessment. These changes primarily relate certain U.S. public finance, certain securitizations, including mortgage backed securities student loans. In public finance portfolio, consider exposures immediately impact decrease economic activity include certain hotel occupancy tax backed deals sitting financings, dependent narrow revenue tax streams declined precipitously stay place orders enacted. Other sectors, closely monitoring include transportation, hospitals, private higher education. While early assess impact global pandemic, associated recession, exists significant protection majority impacted transactions, believe mitigate ultimate losses, claims paid cover liquidity shortfalls near term. Weve assessing impact significant monetary fiscal stimulus federal government, initiated numerous measures, including beneficial states municipalities. While believe programs help soften impact liquidity credit risk municipal market, believe significant additional actions required. In support municipalities states, sharing views decision makers federal government ways alleviate fiscal pressures municipal entities, Congress, Treasury, Washington develop implement programs aid public sector dealing consequences pandemic. Turning structured finance, weaker U.S. consumer highlighted 33.5 million new jobless claims past seven weeks likely result higher delinquencies potentially incremental losses MBS private student loan exposures. However, lower rates sharply increased expected excess spread recoverable lien MBS portfolio, offsetting expected impact deterioration associated COVID19 pandemic consumer asset portfolio. I like remind MBS private student loan portfolios seasoned reduced 90 great recession. Moreover, remaining borrowers better position face crisis, overall improved equity homes, better household balance sheets. Nonetheless, nearterm challenges sectors expected active dialogue servicers consumer assets, particular evaluating potential impact recently enacted forbearance payment moratorium measures. With regards derisking efforts, activity slowed quarter result significant market disruption. However, able execute number transactions, including commutation remaining Chicago deal exposures 170 million. During quarter, total net par outstanding declined 38 billion 36 billion. As market conditions improved, aim advantage additional opportunities derisk watch lists averse classified credits. Turning Puerto Rico, thoughts Puerto Rico deals crisis caused COVID19. Having shown great resilience face harsh conditions past, believe Puerto Rico again. We expect COVID19 sufficiently addressed course, medium longerterm, Puerto Rico better positioned versus U.S. economies advantage certain postpandemic opportunities. This includes potential expansion domestic pharmaceutical medical device manufacturing base, revitalization recently redeveloped expanded tourism industry. We believe longerterm fundamentals island remain strong improve overtime. In meantime, hope Oversight Board choose stop spending hundreds millions taxpayer money unnecessary legal battles including challenging lawful party liens revenue bonds. The effects certain court decisions Puerto Rico bankruptcy upended municipal markets created meaningful challenges uncertainty municipalities state issuers. The Oversight Board currently advancing legal arguments successful severe permanent impact municipalities states country leading widespread destruction value increased taxes U.S. taxpayers. Given significant challenges facing U.S. municipal market stemming COVID19, Oversight Board advisors immediately refocus efforts consensual resolution crisis Puerto Rico expected federal government enacted PROMESA. Ambac remains committed working Oversight Board Commonwealth achieve holistic, consensual, durable resolutions Puerto Rico. Negotiating consensually good faith broad set Commonwealth creditors way help Puerto Rico successfully navigate challenges opportunities month years ahead restore access capital markets. Regarding loss recovery efforts, given challenges impacting courts nation, timeline RMBS litigation extended. As New York state courts look manage pandemic, unlike currently scheduled trials. The previously scheduled July 13, 2020 trial date case Countrywide Bank America vacated. We seek reschedule trial greater clarity develops conducted. In meantime, waiting department determine gets decision Countrywides Pretrial motion reviewed New York court appeals Countrywide requested. Countrywide asked judge wait court appeals decide pending appeals nonAmbac RMBS related cases proceeding trial. We opposed request. We continue believe mirrors strength case look forward resolution earliest possible opportunity. On new business front, remain active assessing opportunities deploy capital new business initiatives insurance credit space believe market dislocation global recession present opportunities acquire businesses investments attractive valuations. However, recognize face additional challenges executing new business transactions given uncertainty volatility market. I turn David Trick discuss financial results detail. David? David Trick Thank you, Claude, good morning everyone. As Claude commented, main contributor results quarter 2020 impact COVID19 pandemic economy financial markets. Lower rates, higher market risk premiums, expected financial impact certain insured transactions primary drivers quarter net loss derivatives, investments insured portfolio. During quarter 2020 Ambac reported net loss 280 million 6.07 diluted share compared net loss 110 million 2.40 diluted share fourth quarter 2019. Adjusted loss quarter 265 million 5.75 diluted share compared adjusted loss 88 million 1.91 diluted share fourth quarter. The principle variance adjusted net loss quarter 13 million insurance intangible amortization. Touching specifics, premiums earned 10 million quarter versus 20 million fourth quarter. In addition continue run portfolio, decrease mainly improvement allowance premium receivable credit losses fourth quarter versus increase allowance quarter. Investments excluding realized gains produced net loss quarter 21 million net income 42 million fourth quarter 2019. Marktomarket losses limited partnership pooled investments 52 million accounted quarter net investment loss. Despite derisking exposure asset classes end February, significant declines asset values drastically higher risk premiums associated market dislocation occurred March related COVID19 pandemic kind adverse performance global portfolio equity, high yield credit asset backed investments. Subject future trading decisions make, current view significant majority marktomarket losses temporary nature. And point, begun observe reversal losses April, couple funds experiencing high singledigit returns month. The market dislocation led negative results provided opportunity deploy capital short securities select assets relatively favorable level late quarter early second quarter. ome available sale securities 31 million quarter versus 34 million fourth quarter. The decline attributable redemptions owned LSNI notes claims payments. Loss loss expenses incurred 117 million quarter compared 97 million fourth quarter 2019. Lower discount rates quarter cause noneconomic incurred losses approximately 190 million. As present valued expected loss cash flows discount rate average 115 basis points lower prior quarter. Lower discount rates profound impact public finance short portfolio longterm nature claims sector relative size reserves. As result, current public finance losses 178 million quarter, compared 54 million fourth quarter. urred public finance losses, excluding impact rates, related assumption changes previously reserved transactions establishment new reserves insured exposures exposed COVID19 amounted 67 million quarter. The RMBS benefit 83 million quarter, compared loss 40 million fourth quarter increase expected excess spread recoveries 130 million resulting lower rates, higher estimated representation warranty subrogation recoveries 36 million resulting lower discount rates partially offset 83 million negative impact lower discount rates higher expected losses, decline economic conditions COVID19 pandemic. Net loss loss expenses student loans 14 million, 5 million fourth quarter 2019, incurred losses, driven changes assumptions lower discount rates partially offset additional expected excess spread, resulting lower rates. In aggregate, estimated incurred losses excluding impact discount rate shifts. The quarter approximately 97 million, primarily reflect proactive establishment new increase reserves related impact COVID19 ashore transactions assumption changes. These losses offset additional expected excess spread RMBS student loans 170 million. Net losses derivative contracts 70 million quarter compared gain 12 million fourth quarter. The loss quarter driven significant declines forward rates, offset gains RMBS excess spreads 30 million adverse counterparty credit adjustments rate derivative assets. The rate derivatives portfolio positioned partial economic hedge rate exposure financial guarantee investment portfolios. As order rates declined, hedge position reduced materially quarter. The quarter counterparty credit adjustment relates impact widening counterparty credit spreads downgrade counterparty backdrop increase associated swap receivable assets. We perform active credit surveillance derivatives counterparties anticipate counterparty credit losses consider CVA adjustments temporary nature. Operating expenses quarter 23.5 million relatively flat 23.1 million fourth quarter. The modest difference higher compensation consulting fees, offset reversal UK VAT charges, lower legal expenses, lower premises cost. The increase compensation costs cyclical costs related incentive compensation, including payroll taxes, higher consulting fees accrual reversal occurred fourth quarter 2019. Interest expense decreased 3 million quarter 63 million resulting partial redemption 149 million AACs outstanding secured notes yearend lower rates. During quarter, redeemed additional 77 million secured notes, contribute expense reductions future periods. Turning balance sheet, shareholders equity 1 billion decreased 10.53 share December 31, 2019 21.88 share March 31, 2020, net loss quarter, combined decline unrealized gains securities 146 million foreign currency translation losses 46 million. Reduction unrealized gains reflective increase risk premiums, majority decrease related investments Ambacinsured, RMBS ABS securities. Adjusted book value decreased 1.01 billion March 31, 2020 1.31 billion December 31, 2019. On share basis, adjusted book value decreased 6.72 22.11 share March 31, 2020. This ABV decrease primarily driven adjusted loss quarter impact lower foreign exchange rates assets held Ambac UK. As AFG standalone basis March 31, 2020, AFG cash investments net receivables approximately 482 million, 10.53 share. I turn Claude brief closing remarks. Claude LeBlanc Thank you, David. While period great volatility, severity duration pandemic ultimately determine success mitigating potential losses. We better position today face challenges based actions taken today. Our value drivers fundamentals remain strong, including one, debt 482 million net assets AFG holding company. Two, claims paying resources 5.2 billion timely payment claims full. Three, consolidated investment portfolio 3.4 billion assets, historically strong market performance. Four, gross rent warranty receivable approximately 1.8 billion. Five, total 3.7 billion NOLs available shelter future taxable income AFG AAC. And lastly, significant expertise resources bring bear navigate period uncertainty order maximize shareholder value. I like conclude thanking shareholders ongoing support, employees incredible effort unwavering commitment ensure continued uninterrupted operation business. I like turn operator questions. QuestionandAnswer Session Operator Thank you. We conducting question answer session. [Operator Instructions] Thank you. Our question comes line Giuliano Bologna BTIG. Please proceed question. Giuliano Bologna Good morning, thanks taking questions. I guess, starting mentioned opportunities buy Ambac rep securities end quarter. Id curious opportunities potentially opportunities buy Ambacs debt discount par. David Trick Yeah, hi, Giuliano. Thanks question. So yes, opportunity buy Ambac securities later quarter. And, particular, beginning quarter excuse quarter. And particular early second quarter. So, opportunities buy Ambac secured debt well. There certain restrictions operate based governing guidelines instruments, particularly comes liquidity management. But buy actually Ambac LSNI notes quarter holding company reasonable discount par advantage trading opportunities there. But capital liquidity considerations need manage looking opportunities buy different parts capital structure. Giuliano Bologna That makes lot sense. And thinking discussion potentially buying business building business holding company capital I know youve said youve looked opportunities years. Id curious youre seeing opportunities come up, theres shift industry sectors kind sub sectors looking at, given volatility? Claude LeBlanc Actually, I think answer yes, certainly opportunities seeing broader set industries. Clearly, theres lot uncertainty markets industries focused insurance credit well. So, I think options, theres challenges evaluating risk associated certain opportunities, identified seeing interesting, continuing active exploration opportunities. Giuliano Bologna That sounds good. Thank taking questions. I appreciate I jump queue. Claude LeBlanc Thanks, Giuliano. Operator [Operator Instructions] Thank you. There questions time. This conclude todays conference. Thank participation. You disconnect lines time.Follow SA Transcripts email alertsYour feedback matters usError transcript? Let know. add company coverage use transcripts business.Learn Seeking Alpha transcripts here. 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https://venturebeat.com/2020/09/08/tackling-one-of-the-biggest-single-sources-of-co2-emissions-with-machine-learning/
2020-09-08T00:00:00
en
Tackling one of the biggest single sources of CO2 emissions with machine learning | VentureBeat
Tackling one of the biggest single sources of CO2 emissions with machine learning | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Special Issue Become a Member Sign In Log Out VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Sponsored Tackling one of the biggest single sources of CO2 emissions with machine learning VB Staff September 8, 2020 10:06 AM AI Share on Facebook Share on Twitter Share on LinkedIn Image Credit: Getty Images Automation and Jobs Read our latest special issue. Open Now Presented by AWS Machine Learning In the United States alone, there are close to 6 million buildings, nearly one for every 60 Americans. Together, they produce 40% of the country’s total emissions, most of which comes from day-to-day lighting, heating, cooling, and appliance operation — making it one of the largest single polluting factors in the U.S. “What that means is that it’s a massive prize, both economically and environmentally, that’s waiting to be tapped,” says Matt Ganser, EVP of engineering and technology at Carbon Lighthouse. “That’s what we built Carbon Lighthouse for — to stop climate change, with a mix of technology, equipment, and machine learning.” The Carbon Lighthouse business model and patented AI platform was developed to meet that climate change challenge by helping existing buildings reduce their energy use and overall carbon emissions. However, it’s a major undertaking. Improving the energy systems of buildings is a complex, dynamic pursuit. Buildings are an inherently chaotic space, with a mixture of control systems, interoperability, data standards, and equipment configurations, worsened by the fact that most buildings standing today pre-date the end of the Cold War. This is where Carbon Lighthouse has put machine learning (ML) to work. They can analyze, optimize, and monitor every system — lights, air conditioning, HVAC, and ventilation systems — to maximize efficiency opportunities. “Because of the work we’ve done over the years in expanding our models, capabilities, and data reach, we’ve gone from reducing the equivalent of the emissions of a few cars to having reduced the emissions equivalent of 12 power plants,” Ganser says. Improving building efficiency with machine learning To make a building more efficient, Carbon Lighthouse needed to understand how each space is used across multiple occupancy and weather variables, including things like weekdays vs weekends, a typical work day vs a holiday, or from a winter morning at 6:00 AM versus summer peak at 4:00 PM. The company needed to understand how the building systems responded in concert to these dynamic conditions. A large part of the solution was data. They approach the problem in two ways: directly tapping into building management systems, and creating their own sensor networks to measure things like lighting levels, temperature, relative humidity, and air flow. They can then extract these massive data streams and bring them together in their patented AI based platform CLUES®, which models the energy being consumed throughout the building to find areas to optimize energy use. CLUES is continuously learning from an expanding wealth of real building data it ingests from each building it services. It then passes on those learnings to the company’s data scientists, who can use the information to build algorithms to further decrease future emissions. “We realized that fundamental assumptions about energy load were wrong, and the rules of thumb that people use when sizing equipment were just off,” Ganser says. “Data was a huge enabler to analyze the problems and gain efficiencies.” Their platform leverages a number of AWS technologies, including EC2, S3, RDS, Dynamo DB, which offers the big data building blocks they need, while eliminating the operational challenges that go into managing databases and worrying about data at scale. Their machine learning algorithms learned to model a building’s energy use over time, from the building level to the system level. The company’s data scientists can experiment and change the parameters in code to understand how the building could be operating differently and more efficiently. They have now processed data from over a hundred million square feet of commercial real estate, which provides deep data analytics into HVAC and lighting systems, allowing the platform to uncover and apply efficiencies at a scale not possible before. The technology not only uncovers opportunities to dramatically reduce carbon output, it also increases a building’s value at any stage in the asset life cycle by about five to 10 dollars per square foot and provides guaranteed operating expense reductions. “We can really focus on building out products and value to our internal customers, not having to worry about a lot of that infrastructure and data engineering that you often run into in trying to build out a big data platform,” Ganser says. Machine learning is also essential in the performance management process. Even after the company implements changes to a building, they continue to collect data streams after implementation and continuously monitor the building for faults or changes in operations. They then work with the client to make sure their building management systems and its components are all still functioning as expected. The future of the fight against carbon emissions “Right or wrong, capitalism is the economic engine of the world,” Ganser says. “And so in order to really make a difference within the sustainability space, it has to have a financial argument to go with it, which matters to that business, and in a timeframe that matters to their investors. And we are helping bridge that world a little bit.” The conversation is finally changing — the investment community is starting to ask about sustainability, because it’s become clear that more sustainable decision-making tends to have financial staying power over the long run. “Because of our technology,” explains Ganser, “we’re now able to process and scale to meet this increase in attention around energy consumption, and the demands of our clients.” Dig deeper: See more ways machine learning is being used to tackle today’s biggest social, humanitarian, and environmental challenges.  Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. Content produced by our editorial team is never influenced by advertisers or sponsors in any way. For more information, contact [email protected]. VentureBeat Homepage The Machine Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. All rights reserved.
Tackling one of the biggest single sources of CO2 emissions with machine learning
Tackling biggest single sources CO2 emissions machine learning VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Sponsored Tackling biggest single sources CO2 emissions machine learning VB Staff September 8, 2020 10:06 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Getty Images Automation Jobs Read latest special issue. Open Now Presented AWS Machine Learning In United States alone, close 6 million buildings, nearly 60 Americans. Together, produce 40 countrys total emissions, comes daytoday lighting, heating, cooling, appliance operation making largest single polluting factors U.S. What means massive prize, economically environmentally, thats waiting tapped, says Matt Ganser, EVP engineering technology Carbon Lighthouse. Thats built Carbon Lighthouse stop climate change, mix technology, equipment, machine learning. The Carbon Lighthouse business model patented AI platform developed meet climate change challenge helping existing buildings reduce energy use overall carbon emissions. However, major undertaking. Improving energy systems buildings complex, dynamic pursuit. Buildings inherently chaotic space, mixture control systems, interoperability, data standards, equipment configurations, worsened fact buildings standing today predate end Cold War. This Carbon Lighthouse machine learning ML work. They analyze, optimize, monitor lights, air conditioning, HVAC, ventilation systems maximize efficiency opportunities. Because work weve years expanding models, capabilities, data reach, weve gone reducing equivalent emissions cars reduced emissions equivalent 12 power plants, Ganser says. Improving building efficiency machine learning To building efficient, Carbon Lighthouse needed understand space multiple occupancy weather variables, including things like weekdays vs weekends, typical work day vs holiday, winter morning 6:00 AM versus summer peak 4:00 PM. The company needed understand building systems responded concert dynamic conditions. A large solution data. They approach problem ways: directly tapping building management systems, creating sensor networks measure things like lighting levels, temperature, relative humidity, air flow. They extract massive data streams bring patented AI based platform CLUES, models energy consumed building areas optimize energy use. CLUES continuously learning expanding wealth real building data ingests building services. It passes learnings companys data scientists, use information build algorithms decrease future emissions. We realized fundamental assumptions energy load wrong, rules thumb people use sizing equipment off, Ganser says. Data huge enabler analyze problems gain efficiencies. Their platform leverages number AWS technologies, including EC2, S3, RDS, Dynamo DB, offers big data building blocks need, eliminating operational challenges managing databases worrying data scale. Their machine learning algorithms learned model buildings energy use time, building level level. The companys data scientists experiment change parameters code understand building operating differently efficiently. They processed data million square feet commercial real estate, provides deep data analytics HVAC lighting systems, allowing platform uncover apply efficiencies scale possible before. The technology uncovers opportunities dramatically reduce carbon output, increases buildings value stage asset life cycle 10 dollars square foot provides guaranteed operating expense reductions. We focus building products value internal customers, worry lot infrastructure data engineering run trying build big data platform, Ganser says. Machine learning essential performance management process. Even company implements changes building, continue collect data streams implementation continuously monitor building faults changes operations. They work client sure building management systems components functioning expected. The future fight carbon emissions Right wrong, capitalism economic engine world, Ganser says. And order difference sustainability space, financial argument it, matters business, timeframe matters investors. And helping bridge world little bit. The conversation finally changing investment community starting ask sustainability, clear sustainable decisionmaking tends financial staying power long run. Because technology, explains Ganser, able process scale meet increase attention energy consumption, demands clients. Dig deeper: See ways machine learning tackle todays biggest social, humanitarian, environmental challenges. Sponsored articles content produced company paying post business relationship VentureBeat, theyre clearly marked. Content produced editorial team influenced advertisers sponsors way. For information, contact sales VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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http://www.globalanalyticsmarket.com/2020/11/10/global-cloud-machine-learning-market-is-rising-with-covid-19-impact-analysis-top-companies-oracle-corporation-google-inc-ibm-alibaba-group-microsoft-corporation-market-growth-forecast-to-2026/
2020-11-10T00:00:00
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Global Cloud Machine Learning Market is Rising with COVID-19 Impact Analysis, Top Companies Oracle Corporation, Google Inc, IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026 – Global Analytics Market
Global Cloud Machine Learning Market is Rising with COVID-19 Impact Analysis, Top Companies Oracle Corporation, Google Inc, IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026 – Global Analytics Market Search for: Home Business Chemicals Energy Healthcare Sci-Tech Entertainment Search for:  Posted in Business, Industry, News, Press Release Global Cloud Machine Learning Market is Rising with COVID-19 Impact Analysis, Top Companies Oracle Corporation, Google Inc, IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026  Kevin  November 10, 2020 Global Cloud Machine Learning Market is expected to grow at a higher rate during the forecast period 2020-2026. Global Research Report called Cloud Machine Learning Market was recently published by Market Research Inc. to provide guidance for the business. The report also focuses on global major leading industry players of Global Cloud Machine Learning providing information such as company profiles, product picture and specification, price, capacity, cost, production, revenue and contact information. Global Cloud Machine Learning Market is expected to develop at a substantial CAGR in the coming years. The most significant factor driving the growth of this market is rising investments in market. Investments in the Cloud Machine Learning Market have witnessed huge growth over the past few years. This report also states import and export consumption, supply and demand Figures, cost, price, revenue and gross margins. Market Research Inc. announced the addition of new informative data titled Cloud Machine Learning Market to its extensive repository. The goal of this report is to help readers improve their industry’s performance by focusing on important aspects of their business, such as recent developments, technology platforms, and various standard operating procedures and tools. Primary and secondary research techniques were used to effectively examine the desired data. Analysts in this research report can quickly expand their business by focusing on various business and market strategies. Major competitors around the world have been stressed to understand the level of competition. Several factors, such as productivity, manufacturing base, and product type, were considered to investigate various global regions, such as North America, Latin America, Europe, Asia Pacific, and India. In order to clearly understand the current scope of the existing industry, the competitive environment has been refined.This report also states import and export consumption, supply and demand Figures, cost, price, revenue and gross margins. Top Key Players: Oracle Corporation , Google Inc, IBM, Alibaba Group, Microsoft Corporation, Amazon Web Services , Fair, Isaac Request Sample Copy of this Report@: https://www.marketresearchinc.com/request-sample.php?id=39704 Our report does take into account the impact of coronavirus pandemic and dedicates qualitative as well as quantitative sections of information within the report that emphasizes the impact of COVID-19. As this pandemic is ongoing and leading to dynamic shifts in stocks and businesses worldwide, we take into account the current condition and forecast the market data taking into consideration the micro and macroeconomic factors that will be affected by the pandemic. In addition to corporate strategy, Cloud Machine Learning the market throws light on different properties to curb the progress of fuel or industry. The focus is more on applicable sales strategies to increase the company’s productivity to achieve higher economic performance. It also covers research and development activities, online and offline activities, the latest product launches, and some of the competitive expansion adopted by major global companies. Research reports use effective graphical presentation techniques such as tables, charts, graphs, diagrams, and info graphics. Get Maximum Discount Now @: https://www.marketresearchinc.com/ask-for-discount.php?id=39704    Reasons for Buying this Report This report provides pin-point analysis for changing competitive dynamics It provides a forward-looking perspective on different factors driving or restraining market growth It provides a six-year forecast assessed on the basis of how the market is predicted to grow It helps in understanding the key product segments and their future It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments PEST analysis of the market in the five major regions. For More Information:  https://www.marketresearchinc.com/enquiry-before-buying.php?id=39704 Table of Content: Market Overview Competition Analysis by Players Company (Top Players) Profiles Cloud Machine Learning Market Size by Type and Application US Market Status and Outlook Cloud Machine Learning Market Status and Outlook Japan Market Development Status and Outlook China Market Status and Outlook India Cloud Machine Learning Market Status and Outlook Southeast Asia Market Status and Outlook Market Forecast by Region, Type, and Application Market Dynamics Market Effect Factor Analysis Research Finding/ Conclusion Appendix. Finally, all aspects of the Cloud Machine Learning Market are quantitatively as well qualitatively assessed to study the Global as well as regional market comparatively. This market study presents critical information and factual data about the market providing an overall statistical study of this market on the basis of market drivers, limitations and its future prospects. The report supplies the international economic competition with the assistance of Porter’s Five Forces Analysis and SWOT Analysis. About Us: Market Research Inc is farsighted in its view and covers massive ground in global research. Local or global, we keep a close check on both markets. Trends and concurrent assessments sometimes overlap and influence the other.  When we say market intelligence, we mean a deep and well-informed insight into your products, market, marketing, competitors, and customers. Market research companies are leading the way in nurturing global thought leadership. We help your product/service become the best they can with our informed approach. Contact Us: Author Kevin US Address: 51 Yerba Buena Lane, Ground Suite, Inner Sunset San Francisco, CA 94103, USA Call Us: +1 (628) 225 1818 Email: [email protected] Post navigation ← Collections Management Software Market 2020 to Showing Impressive Growth by 2028 | Industry Trends, Share, Size, Top Key Players Analysis and Forecast ResearchWorkable Strategy for Medical Flow Sensors Market 2020-2027 | Trends, Growth, Demand, Revenue, Gross Profit, Status & Forecast by 2027 | ,NXP+ Freescale, Amphenol, Infineon, First Sensor AG & More → Recent Posts Genistein Market Greatest Progress in Worldwide by 2027 with Top Leading Key Players: Santa Cruz Biotechnology,MP Biomedicals,Wako Pure Chemical Industries,J&K Scientific,Nagara,Chengdu Biopurify Phytochemicals Ltd,Pure Chemistry Scientific,3B PharmachemLubricant Market Outlook on Rising Application, Revolutionary Trends & Potential Growth Ways 2026 Shell, ExxonMobil, BP, TOTAL, Chevron, FUCHS, Valvoline, Idemitsu KosanAnti-Aging Hair Products Market 2020 Detailed Analysis Focusing On Application, Types and Regional Outlook L’Oreal, Procter & Gamble, Unilever, EssentialVehicle Fuel Tank Market 2020 Detailed Analysis Focusing On Application, Types and Regional Outlook Inergy, Kautex, TI Automotive, YAPP, Yachiyo, Magna Steyr, Hwashin, FutabaCeramic Sand Market 2020 Detailed Analysis Focusing On Application, Types and Regional Outlook SCR-Sibelco, US Silica Holdings, Fairmount Santrol, Badger Mining CorporationAluminum Chlorohydrate Market 2020 Detailed Analysis Focusing On Application, Types and Regional Outlook Chemtrade, Kemira, GEO, USALCO, Summit Chemical, Holland Company, Contec SrlInsulated Paint Market 2020 Detailed Analysis Focusing On Application, Types and Regional Outlook The Sherwin Willams, AkzoNobel N.V, PPG Industries, Asian Paints, Nippon PaintsHydrolyzed vegetable protein market to Register a Stout Growth by End 2024 with top key players Ajinomoto Co. Inc., Koninklijke DSM N.V., Tate & Lyle, Inc., Givaudan, Kerry Group plcFood Ingredients Sterilization Market Anticipated to Reach Maximum Revenue and Demand through 2020-2028 with Prominent Key Players: Sterigenics International LLC, Croll Reynolds, Balchem Corporation, Wenda Ingredients, Namah Steam Sterilization, Napasol AG, Cosmed Group, Safe Spice123Rising Carboxylic Acids Market with COVID-19 Impact Analysis, Top Companies Celanese, BASF, Eastman, Market Opportunities, Growth, Forecast To 2026 Home About Us Contact Us Copyright © 2020 Global Analytics Market Design by ThemesDNA.com
Global Cloud Machine Learning Market is Rising with COVID-19 Impact Analysis, Top Companies Oracle Corporation, Google Inc, IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026
Global Cloud Machine Learning Market Rising COVID19 Impact Analysis, Top Companies Oracle Corporation, Google , IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026 Global Analytics Market for: Home Business Chemicals Energy Healthcare SciTech Entertainment for: Posted Business, Industry, News, Press Release Global Cloud Machine Learning Market Rising COVID19 Impact Analysis, Top Companies Oracle Corporation, Google , IBM, Alibaba Group, Microsoft Corporation, Market Growth, Forecast To 2026 Kevin November 10, 2020 Global Cloud Machine Learning Market expected grow higher rate forecast period 20202026. Global Research Report called Cloud Machine Learning Market recently published Market Research . provide guidance business. The report focuses global major leading industry players Global Cloud Machine Learning providing information company profiles, product picture specification, price, capacity, cost, production, revenue contact information. GlobalCloud Machine LearningMarketis expected develop substantial CAGR coming years. The significant factor driving growth market rising investments inmarket. Investments theCloud Machine Learning Markethave witnessed huge growth past years.This report states import export consumption, supply demand Figures, cost, price, revenue gross margins. Market Research . announced addition new informative data titled Cloud Machine Learning Market extensive repository. The goal report help readers improve industrys performance focusing important aspects business, recent developments, technology platforms, standard operating procedures tools. Primary secondary research techniques effectively examine desired data. Analysts research report quickly expand business focusing business market strategies. Major competitors world stressed understand level competition. Several factors, productivity, manufacturing base, product type, considered investigate global regions, North America, Latin America, Europe, Asia Pacific, India. In order clearly understand current scope existing industry, competitive environment refined.This report states import export consumption, supply demand Figures, cost, price, revenue gross margins. Top Key Players: Oracle Corporation , Google , IBM, Alibaba Group, Microsoft Corporation, Amazon Web Services , Fair, Isaac Request Sample Copy thisReport Our report account impact coronavirus pandemic dedicatesqualitative quantitativesections information report emphasizes theimpact COVID19. As pandemic ongoing leading dynamic shifts stocks businesses worldwide, account current condition forecast market data taking consideration micro macroeconomic factors affected pandemic. In addition corporate strategy, Cloud Machine Learning market throws light different properties curb progress fuel industry. The focus applicable sales strategies increase companys productivity achieve higher economic performance. It covers research development activities, online offline activities, latest product launches, competitive expansion adopted major global companies. Research reports use effective graphical presentation techniques tables, charts, graphs, diagrams, info graphics. Get Maximum Discount Now Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forwardlooking perspective different factors driving restraining market growth It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments PEST analysis market major regions. For More Information: Table Content: Market Overview Competition Analysis Players Company Top Players Profiles Cloud Machine Learning Market Size Type Application US Market Status Outlook Cloud Machine Learning Market Status Outlook Japan Market Development Status Outlook China Market Status Outlook India Cloud Machine Learning Market Status Outlook Southeast Asia Market Status Outlook Market Forecast Region, Type, Application Market Dynamics Market Effect Factor Analysis Research Finding Conclusion Appendix. Finally, aspects Cloud Machine Learning Market quantitatively qualitatively assessed study Global regional market comparatively. This market study presents critical information factual data market providing overall statistical study market basis market drivers, limitations future prospects. The report supplies international economic competition assistance Porters Five Forces Analysis SWOT Analysis. : Market Research farsighted view covers massive ground global research. Local global, close check markets. Trends concurrent assessments overlap influence other. When market intelligence, mean deep wellinformed insight products, market, marketing, competitors, customers. Market research companies leading way nurturing global thought leadership. We help productservice best informed approach. Us: AuthorKevin US Address:51 Yerba Buena Lane, Ground Suite, Inner Sunset San Francisco, CA 94103, USA Call Us: 1 628 225 1818 Email:sales Post navigation Collections Management Software Market 2020 Showing Impressive Growth 2028 Industry Trends, Share, Size, Top Key Players Analysis Forecast ResearchWorkable Strategy Medical Flow Sensors Market 20202027 Trends, Growth, Demand, Revenue, Gross Profit, Status Forecast 2027 ,NXP Freescale, Amphenol, Infineon, First Sensor AG More Recent Posts Genistein Market Greatest Progress Worldwide 2027 Top Leading Key Players: Santa Cruz Biotechnology,MP Biomedicals,Wako Pure Chemical Industries,JK Scientific,Nagara,Chengdu Biopurify Phytochemicals Ltd,Pure Chemistry Scientific,3B PharmachemLubricant Market Outlook Rising Application, Revolutionary Trends Potential Growth Ways 2026 Shell, ExxonMobil, BP, TOTAL, Chevron, FUCHS, Valvoline, Idemitsu KosanAntiAging Hair Products Market 2020 Detailed Analysis Focusing On Application, Types Regional Outlook LOreal, Procter Gamble, Unilever, EssentialVehicle Fuel Tank Market 2020 Detailed Analysis Focusing On Application, Types Regional Outlook Inergy, Kautex, TI Automotive, YAPP, Yachiyo, Magna Steyr, Hwashin, FutabaCeramic Sand Market 2020 Detailed Analysis Focusing On Application, Types Regional Outlook SCRSibelco, US Silica Holdings, Fairmount Santrol, Badger Mining CorporationAluminum Chlorohydrate Market 2020 Detailed Analysis Focusing On Application, Types Regional Outlook Chemtrade, Kemira, GEO, USALCO, Summit Chemical, Holland Company, Contec SrlInsulated Paint Market 2020 Detailed Analysis Focusing On Application, Types Regional Outlook The Sherwin Willams, AkzoNobel N.V, PPG Industries, Asian Paints, Nippon PaintsHydrolyzed vegetable protein market Stout Growth End 2024 key players Ajinomoto Co. ., Koninklijke DSM N.V., Tate Lyle, ., Givaudan, Kerry Group plcFood Ingredients Sterilization Market Anticipated Reach Maximum Revenue Demand 20202028with Prominent Key Players: Sterigenics International LLC, Croll Reynolds, Balchem Corporation, Wenda Ingredients, Namah Steam Sterilization, Napasol AG, Cosmed Group, Safe Spice123Rising Carboxylic Acids Market COVID19 Impact Analysis, Top Companies Celanese, BASF, Eastman, Market Opportunities, Growth, Forecast To 2026 Home Us 2020 Global Analytics Market Design
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"mining", "chlorohydrate", "market", "detailed", "analysis", "focusing", "application", "types", "regional", "outlook", "chemtrade", "kemira", "geo", "usalco", "summit", "chemical", "holland", "company", "contec", "srlinsulated", "paint", "market", "detailed", "analysis", "focusing", "application", "types", "regional", "outlook", "sherwin", "willams", "akzonobel", "ppg", "industries", "asian", "paints", "nippon", "vegetable", "protein", "market", "stout", "growth", "end", "key", "players", "ajinomoto", "koninklijke", "dsm", "tate", "lyle", "givaudan", "kerry", "group", "plcfood", "ingredients", "sterilization", "market", "anticipated", "reach", "maximum", "revenue", "demand", "prominent", "key", "players", "sterigenics", "international", "llc", "croll", "reynolds", "balchem", "corporation", "wenda", "ingredients", "namah", "steam", "sterilization", "napasol", "ag", "cosmed", "group", "safe", "spice", "rising", "carboxylic", "acids", "market", "covid", "impact", "analysis", "companies", 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POSITIVE
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https://www.pr.com/press-release/820978
2020-09-12T00:00:00
en
Innominds Partners with Haptik for Powering Digital Next Initiatives Using Conversational AI Solutions - PR.com
Innominds Partners with Haptik for Powering Digital Next Initiatives Using Conversational AI Solutions - PR.com Post Profile for Your Business      Submit Press Release Join Now     Sign In   Businesses Articles Press Releases   Business Directory Products & Services Jobs Recent Press Releases Press Release Pricing Submit Press Release Businesses Products & Services Products Services Press Releases Jobs Press Release Pricing | News by Category | News by Country | News by US Region | Recent News | PR.com News on Your Site   Press Releases  Innominds Press Release Receive press releases from Innominds: By Email RSS Feeds: Innominds Partners with Haptik for Powering Digital Next Initiatives Using Conversational AI Solutions Innominds, AI-led digital transformation and software product engineering services for global enterprises and software product companies, today announced that it has entered into a partnership with Haptik, one of the largest conversational AI platforms in the world San Jose, CA, September 12, 2020 --(PR.com)-- Innominds, a Silicon Valley-based specialist provider of AI-led digital transformation and software product engineering services for global enterprises and software product companies, today announced that it has entered into a partnership with Haptik, one of the largest conversational AI platforms in the world which operates in the US, UK and the APAC regions. Haptik is part of the $65 billion internet conglomerate, Jio Platforms Ltd.The partnership brings together these two AI engineering companies to help businesses scale up conversational AI adoption to enhance customer experiences and build the foundation for a future of contactless systems and seamless self-service transactions and processes. Gartner research predicts that by 2025, customer service organizations that embed AI in their multichannel customer engagement platforms will elevate operational efficiency by 25%.The partnership comes at a time when both the companies are together looking at a massive market with exponential growth potential as global businesses increasingly create remote-first strategies leveraging conversational AI, intelligent automation, virtual assistants and contactless solutions.For example, overwhelmed customer support teams are being augmented with conversational AI-powered virtual assistants to manage millions of queries a day. Even companies in regulated industries like banks, insurance and healthcare are leveraging conversational AI solutions and analytics to automate loan approval processes, claims management, and policy-related requests, patient interfacing and work force automation.“We are excited to have Haptik as our partner. Our mission to engineer a digital future gets strengthened with this partnership. We will be in a position to enable enterprises to adopt conversational AI on a larger scale to not only ride out the pandemic situation but also prepare for the future of AI-augmented human intelligence,” said Sairam Vedam, Chief Marketing Officer, Innominds. “We chose the award-winning Haptik platform for its superior technology, an enterprise-grade architecture, the ability to scale to millions of conversations and yet offer a simple and secure solution for customers across industries. As companies race to embrace fully contactless solutions-an important pillar of our remote-first suite solutions-this partnership is a force multiplier for Innominds’ opportunity to extend AI-engineering services and offerings to all our global customers,” he added.“We strongly believe that with this partnership, we can together aim to take our platform deeper into global enterprises and independent software product companies across North America and globally that are looking to adopt and leverage conversational AI solutions for increased operational efficiency and to deliver superior customer experience. We like the fact that Innominds powers the Digital Next initiatives of global companies and is rolling out a series of remote-first solutions enabling a truly contactless ecosystem via conversational AI as a strategic enabler,” said Aakrit Vaish, CEO, Haptik.About Haptik (www.haptik.ai)Haptik powers conversational assistants for large brands and enterprises to transform customer experience. The platform has enabled over 100 virtual assistants, reaching close to 100 million devices and processing over 3 billion chat and voice driven interactions. Haptik is backed by Reliance Industries, a $100B+ conglomerate, through a strategic investment of $100M.About Innominds (www.innominds.com)Innominds is an AI-first, platform-led digital transformation and full-cycle software product engineering services company headquartered in San Jose, CA. Innominds powers the digital next initiatives of global enterprises and software product companies with an integrated expertise in devices and embedded engineering, software apps and product engineering services, Digital Transformation Services, cloud, analytics, DevOps, data, security and quality engineering. Contact Information InnomindsSantosh Kumar408-434-6463Contacthttps://www.innominds.com Click here to view the list of recent Press Releases from Innominds Promote Your Business Press Release Pricing Email this page to a friend PR.com Contact Us About Us Terms of Use Help
Innominds Partners with Haptik for Powering Digital Next Initiatives Using Conversational AI Solutions
Innominds Partners Haptik Powering Digital Next Initiatives Using Conversational AI Solutions Post Profile Your Business Submit Press Release Join Now Businesses Articles Press Releases Business Directory Products Services Jobs Recent Press Releases Press Release Pricing Submit Press Release Businesses Products Services Products Services Press Releases Jobs Press Release Pricing News Category News Country News US Region Recent News News Your Site Press Releases Innominds Press Release Receive press releases Innominds: By Email RSS Feeds: Innominds Partners Haptik Powering Digital Next Initiatives Using Conversational AI Solutions Innominds, AIled digital transformation software product engineering services global enterprises software product companies, today announced entered partnership Haptik, largest conversational AI platforms world San Jose, CA, September 12, 2020 Innominds, Silicon Valleybased specialist provider AIled digital transformation software product engineering services global enterprises software product companies, today announced entered partnership Haptik, largest conversational AI platforms world operates US, UK APAC regions. Haptik 65 billion internet conglomerate, Jio Platforms Ltd.The partnership brings AI engineering companies help businesses scale conversational AI adoption enhance customer experiences build foundation future contactless systems seamless selfservice transactions processes. Gartner research predicts 2025, customer service organizations embed AI multichannel customer engagement platforms elevate operational efficiency 25.The partnership comes time companies looking massive market exponential growth potential global businesses increasingly create remotefirst strategies leveraging conversational AI, intelligent automation, virtual assistants contactless solutions.For example, overwhelmed customer support teams augmented conversational AIpowered virtual assistants manage millions queries day. Even companies regulated industries like banks, insurance healthcare leveraging conversational AI solutions analytics automate loan approval processes, claims management, policyrelated requests, patient interfacing work force automation.We excited Haptik partner. Our mission engineer digital future gets strengthened partnership. We position enable enterprises adopt conversational AI larger scale ride pandemic situation prepare future AIaugmented human intelligence, said Sairam Vedam, Chief Marketing Officer, Innominds. We chose awardwinning Haptik platform superior technology, enterprisegrade architecture, ability scale millions conversations offer simple secure solution customers industries. As companies race embrace fully contactless solutionsan important pillar remotefirst suite solutionsthis partnership force multiplier Innominds opportunity extend AIengineering services offerings global customers, added.We strongly believe partnership, aim platform deeper global enterprises independent software product companies North America globally looking adopt leverage conversational AI solutions increased operational efficiency deliver superior customer experience. We like fact Innominds powers Digital Next initiatives global companies rolling series remotefirst solutions enabling truly contactless ecosystem conversational AI strategic enabler, said Aakrit Vaish, CEO, Haptik.About Haptik powers conversational assistants large brands enterprises transform customer experience. The platform enabled 100 virtual assistants, reaching close 100 million devices processing 3 billion chat voice driven interactions. Haptik backed Reliance Industries, 100B conglomerate, strategic investment 100M.About Innominds AIfirst, platformled digital transformation fullcycle software product engineering services company headquartered San Jose, CA. Innominds powers digital initiatives global enterprises software product companies integrated expertise devices embedded engineering, software apps product engineering services, Digital Transformation Services, cloud, analytics, DevOps, data, security quality engineering. Information InnomindsSantosh Kumar4084346463 Click view list recent Press Releases Innominds Promote Your Business Press Release Pricing Email friend Us Terms Use Help
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"companies", "integrated", "expertise", "devices", "embedded", "engineering", "software", "apps", "product", "engineering", "services", "digital", "transformation", "services", "cloud", "analytics", "devops", "data", "security", "quality", "engineering", "information", "kumar", "click", "view", "list", "recent", "press", "releases", "innominds", "promote", "business", "press", "release", "pricing", "email", "friend", "terms", "use", "help" ]
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https://prnewsleader.com/uncategorized/828867/new-research-on-automatic-biopsy-devices-market-states-expected-growth-companies-like-bd-merit-medical-mammotome-hologic-c-r-bard/
2020-10-22T00:00:00
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New Research on Automatic Biopsy Devices Market States Expected Growth | Companies like BD, Merit Medical, Mammotome, Hologic, C.R Bard – PRnews Leader
New Research on Automatic Biopsy Devices Market States Expected Growth | Companies like BD, Merit Medical, Mammotome, Hologic, C.R Bard – PRnews Leader Skip to the content Search PRnews Leader Menu News Space Coronavirus Energy All News Contact us Search Search for: Close search Close Menu News Space Coronavirus Energy All News Contact us Categories All News New Research on Automatic Biopsy Devices Market States Expected Growth | Companies like BD, Merit Medical, Mammotome, Hologic, C.R Bard Post author By Nick Watson Post date October 22, 2020 Global Coronavirus pandemic has impacted all industries across the globe, Automatic Biopsy Devices market being no exception. As Global economy heads towards major recession post 2009 crisis, Cognitive Market Research has published a recent study which meticulously studies impact of this crisis on Global Automatic Biopsy Devices market and suggests possible measures to curtail them. This press release is a snapshot of research study and further information can be gathered by accessing complete report. To Contact Research Advisor Mail us @ [email protected] or call us on +1-312-376-8303. Latest update on Automatic Biopsy Devices Market Analysis report published with extensive market research, Market growth analysis, and forecast by 2027. The global Automatic Biopsy Devices market report study provides intelligence studies ensuring relevant and fact-based research which help clients understand the significance and impact of market dynamics. The study provides historic data of 2015 along with a forecast from 2020 to 2027 based on both volumes and revenue. The report on Automatic Biopsy Devices market is also provides, details of the company covered, SWOT analysis, and PESTEL, Porter’s five forces, and product life cycle. On the basis of type the global Automatic Biopsy Devices market can be segmented into Semi Automatic Biopsy Device, Fully Automatic Biopsy Device . The application segments covered under this study includes Hospitals, Clinics .Developments in technology with respect to its manufacturing process and are expected to lead to new applications of this market during the forecast period. Morover, some of the key players are focusing on strategies such as new product development and acquisitions & mergers to increase their market presence. Key players operating in the market are BD, Merit Medical, Mammotome, Hologic, C.R Bard, Stryker, Cook Medical, Galini SRL, Medtronic, Geotek, Moller Medical GmbH, SOMATEX Medical Technologies, Argon Medical Devices, MiroMed . Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—> Download Sample Report of Automatic Biopsy Devices Market Report 2020 (Coronavirus Impact Analysis on Automatic Biopsy Devices Market) At the end of May, many states began lifting lockdown restrictions and reopening in order to revive their economies, despite warnings that it was still too early. As a result, by mid-July, around 33 states were reporting higher rates of new cases compared to the previous week with only three states reporting declining rates. Due to this Covid-19 pandemic, there has been disruptions in the supply chain which have made end-use businesses realize destructive in the manufacturing and business process. During this lockdown period, the plastic packaging helps the products to have longer shelf life as the public would not be able to buy new replacements for the expired products because most of the production units are closed. The report also provides a detailed analysis of the impact of COVID-19. The research report of the Automatic Biopsy Devices market is predicted to accrue a significant remuneration portfolio by the end of the predicted time period. It includes parameters with respect to the Automatic Biopsy Devices market dynamics – incorporating varied driving forces affecting the commercialization graph of this business vertical and risks prevailing in the sphere. In addition, it also speaks about the Automatic Biopsy Devices market growth opportunities in the industry. Request Free Sample Copy of Automatic Biopsy Devices Market Research [email protected] https://www.cognitivemarketresearch.com/medical-devices–consumables/automatic-biopsy-devices-market-report#download_report Automatic Biopsy Devices Market Report covers the manufacturers’ financial data, including shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including Automatic Biopsy Devices market size, volume and value, as well as price data. Regional Analysis for Automatic Biopsy Devices Market: • North America (United States, Canada) • Europe (Germany, Spain, France, UK, Russia, and Italy) • Asia-Pacific (China, Japan, India, Australia, and South Korea) • Latin America (Brazil, Mexico, etc.) • The Middle East and Africa (GCC and South Africa) Get A Free Sample of Automatic Biopsy Devices Market Report: https://www.cognitivemarketresearch.com/medical-devices–consumables/automatic-biopsy-devices-market-report#download_report Objective of Automatic Biopsy Devices Market Report: • To provide strategic profiles of major players in the Automatic Biopsy Devices market, analyzing their fundamental capacities, and drawing a competitive scenario for the market • To provide insights about factors that causes market growth. To analyze the Automatic Biopsy Devices Market based on various factors- price analysis, supply chain analysis, porter five force analysis etc. • To provide detailed analysis of the Automatic Biopsy Devices market structure along with forecast • To provide a country-level analysis of the current market size and prospects • To provide a country-level analysis for the segment through applications, product types, and sub-segments by region Cataloging the competitive terrain of the Automatic Biopsy Devices market: • The report provides an overview of every manufacturers and the products developed by each manufacturer along with the application scope of every product • Data regarding the market share of every company, as well as sales figures concerning each firm is stated in the report • Details regarding the profit margins and price patterns have been inculcated in the report Unveiling the geographical penetration of the Automatic Biopsy Devices market: • The report consists of information related the geographical landscape evaluating the industry into various regions. • Crucial data consisting of market share accumulated by every region, in association with sales of every region registered is mentioned in the report. • The valuation conducted by each region in the base year as well as the growth rate over the predicted time period is mentioned in the report. The report of the Automatic Biopsy Devices market is an in-depth analysis of the business vertical projected to record a commendable annual growth rate over the estimated time period. It also comprises of a precise evaluation of the dynamics related to this marketplace. The purpose of the Automatic Biopsy Devices Market report is to provide important information related to the industry deliverables such as market size, valuation forecast, sales volume, etc. About Us: Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients. We focus on making sure that based on our reports, our clients are enabled to make most vital business decisions in easiest and yet effective way. Hence, we are committed to delivering them outcomes from market intelligence studies which are based on relevant and fact-based research across the global market. 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New Research on Automatic Biopsy Devices Market States Expected Growth
New Research Automatic Biopsy Devices Market States Expected Growth Companies like BD, Merit Medical, Mammotome, Hologic, C.R Bard PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News New Research Automatic Biopsy Devices Market States Expected Growth Companies like BD, Merit Medical, Mammotome, Hologic, C.R Bard Post author By Nick Watson Post date October 22, 2020 Global Coronavirus pandemic impacted industries globe, Automatic Biopsy Devices market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global Automatic Biopsy Devices market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. To Research Advisor Mail @ [emailprotected] 13123768303. Latest update Automatic Biopsy Devices Market Analysis report published extensive market research, Market growth analysis, forecast 2027. The global Automatic Biopsy Devices market report study provides intelligence studies ensuring relevant factbased research help clients understand significance impact market dynamics. The study provides historic data 2015 forecast 2020 2027 based volumes revenue. The report Automatic Biopsy Devices market provides, details company covered, SWOT analysis, PESTEL, Porters forces, product life cycle. On basis type global Automatic Biopsy Devices market segmented Semi Automatic Biopsy Device, Fully Automatic Biopsy Device . The application segments covered study includes Hospitals, Clinics .Developments technology respect manufacturing process expected lead new applications market forecast period. Morover, key players focusing strategies new product development acquisitions mergers increase market presence. Key players operating market BD, Merit Medical, Mammotome, Hologic, C.R Bard, Stryker, Cook Medical, Galini SRL, Medtronic, Geotek, Moller Medical GmbH, SOMATEX Medical Technologies, Argon Medical Devices, MiroMed . Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Automatic Biopsy Devices Market Report 2020 Coronavirus Impact Analysis Automatic Biopsy Devices Market At end May, states began lifting lockdown restrictions reopening order revive economies, despite warnings early. As result, midJuly, 33 states reporting higher rates new cases compared previous week states reporting declining rates. Due Covid19 pandemic, disruptions supply chain enduse businesses realize destructive manufacturing business process. During lockdown period, plastic packaging helps products longer shelf life public able buy new replacements expired products production units closed. The report provides detailed analysis impact COVID19. The research report Automatic Biopsy Devices market predicted accrue significant remuneration portfolio end predicted time period. It includes parameters respect Automatic Biopsy Devices market dynamics incorporating varied driving forces affecting commercialization graph business vertical risks prevailing sphere. In addition, speaks Automatic Biopsy Devices market growth opportunities industry. Request Free Sample Copy Automatic Biopsy Devices Market Research [emailprotected] Automatic Biopsy Devices Market Report covers manufacturers financial data, including shipment, price, revenue, gross profit, interview record, business distribution etc., data help consumer know competitors better. This report covers regions countries world, shows regional development status, including Automatic Biopsy Devices market size, volume value, price data. Regional Analysis Automatic Biopsy Devices Market: North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa Get A Free Sample Automatic Biopsy Devices Market Report: Objective Automatic Biopsy Devices Market Report: To provide strategic profiles major players Automatic Biopsy Devices market, analyzing fundamental capacities, drawing competitive scenario market To provide insights factors causes market growth. To analyze Automatic Biopsy Devices Market based factors price analysis, supply chain analysis, porter force analysis etc. To provide detailed analysis Automatic Biopsy Devices market structure forecast To provide countrylevel analysis current market size prospects To provide countrylevel analysis segment applications, product types, subsegments region Cataloging competitive terrain Automatic Biopsy Devices market: The report provides overview manufacturers products developed manufacturer application scope product Data market share company, sales figures concerning firm stated report Details profit margins price patterns inculcated report Unveiling geographical penetration Automatic Biopsy Devices market: The report consists information related geographical landscape evaluating industry regions. Crucial data consisting market share accumulated region, association sales region registered mentioned report. The valuation conducted region base year growth rate predicted time period mentioned report. The report Automatic Biopsy Devices market indepth analysis business vertical projected record commendable annual growth rate estimated time period. It comprises precise evaluation dynamics related marketplace. The purpose Automatic Biopsy Devices Market report provide important information related industry deliverables market size, valuation forecast, sales volume, etc. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. 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ProBeat: The question of cloud AI or edge AI is far from settled | VentureBeat
ProBeat: The question of cloud AI or edge AI is far from settled | VentureBeat VentureBeat Homepage Channels GamesBeat AI AR/VR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI and Surveillance Deals Search Icon Helpful Links Got a news tip? Press Releases VB Lab Contact Webinars About Us Privacy Advertise Careers Guest Posts Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Log Out AI Opinion ProBeat: The question of cloud AI or edge AI is far from settled Emil Protalinski@EPro June 12, 2020 10:30 AM This week, I did a deep dive into Google Meet’s noise cancellation, a couple months after detailing Microsoft Teams’ noise suppression. Both use supervised learning. Both try to filter out typing, vacuum cleaners, and rustling bags while keeping speech, singing, and laughter. Sure, Google Meet cancels out musical instruments while Microsoft Teams keeps them, but other than that they’re nearly identical. At least it looks like they are, until you look under the hood. The timing is no coincidence either — collaboration and video conferencing tools have never been more important than during the age of the coronavirus, when millions have to learn and work from home. Google and Microsoft are putting their machine learning chops to the test in the hopes of one-upping Zoom and crushing Slack. Google Meet and Microsoft Teams use AI to remove background noise in real time so you hear only speech on a meeting call. And yet what struck me after I interviewed their respective product leads is how differently the companies are approaching the same problem. Here’s the simple version: Google put its machine learning model in the cloud, while Microsoft put its machine learning model on the edge. But there’s more to it than that — let me quote the product leads directly. Here is Serge Lachapelle, G Suite director of product management: VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.Our job has always been passing through the cloud as quickly as possible. But now with these TensorFlow processors, and basically the way that our infrastructure is built, we discovered that we could do media manipulation in real time and add sometimes only around 20 milliseconds of delay. So that’s the road we took. Here is Robert Aichner, Microsoft Teams group program manager: A lot of the machine learning happens in the cloud. So for speech recognition, for example, you speak into the microphone, that’s sent to the cloud. The cloud has huge compute, and then you run these large models to recognize your speech. For us, since it’s real-time communication, I need to process every frame. Let’s say it’s 10 or 20 millisecond frames. I need to now process that within that time so that I can send that immediately to you. I can’t send it to the cloud, wait for some noise suppression, and send it back. That latency question also leads to a question around cost. Every additional network hop adds latency and doing a lot of server processing for each call increases cost. Google’s Lachapelle, on cost: There’s a cost associated with it. Absolutely. But in our modeling, we felt that this just moves the needle so much that this is something we need to do. And it’s a feature that we will be bringing at first to our paying G Suite customers. As we see how much it’s being used and we continue to improve it, hopefully we’ll be able to bring it to a larger and larger group of users. Microsoft’s Aichner, on cost: You want to make sure that you push as much of the compute to the endpoint of the user because there isn’t really any cost involved in that. You already have your laptop or your PC or your mobile phone, so now let’s do some additional processing. As long as you’re not overloading the CPU, that should be fine. But then there are other trade-offs to consider. Google’s Lachapelle, on speed: Doing this without slowing things down is so important because that’s basically what a big chunk of our team does — try to optimize everything for speed, all the time. We can’t introduce features that slow things down. And so I would say that just optimizing the code so that it becomes as fast as possible is probably more than half of the work. More than creating the model, more than the whole machine learning part. It’s just like optimize, optimize, optimize. That’s been the hardest hurdle. Microsoft’s Aichner, on battery life: Yeah, battery life, we are obviously paying attention to that too. We don’t want you now to have much lower battery life just because we added some noise suppression. That’s definitely another requirement we have when we are shipping. We need to make sure that we are not regressing there. At first glance, these different approaches make sense. It’s right there in the companies’ respective DNA. Google was born in the internet age, while Microsoft pioneered the software era. Microsoft is traditionally about software installed locally, while Google is all about apps hosted in the cloud. This is Microsoft Office versus G Suite in a nutshell. Still, it’s never that simple. Sure, Office dwarfs G Suite, but Microsoft Azure is more successful than Google Cloud. Meanwhile, Google Chrome won so thoroughly that Edge is now based on Chromium. But I digress. In building out noise filtering for their respective video calling solutions, Google and Microsoft took decisively different approaches. Google went with the cloud to bring the same experience to everyone, cost be damned. Microsoft went with the edge to bring the best experience to everyone, complexity be damned. Both Lachapelle and Aichner acknowledge to me that they may have to change their approach based on how the rollout of each feature goes. It’s too early to say which solution is superior, or whether there will even be a winner. If, however, one of these companies backpedals, there will be a clear loser: either the cloud or the edge. ProBeat is a column in which Emil rants about whatever crosses him that week. 10 great deals on Father's Day gifts your dad will actually want This Microsoft Excel training bundle is just $34 right now Get a lifetime of amazing stock images and videos for $100 Inject your real estate strategy with tons of data for just $30 Store 5TB of data in the cloud for life for just $80 Still haven't done your taxes? TurboTax's Deluxe Package is on sale right now Level up your next presentation with 100+ premium slides for only $30 Love working from home? Browse 30,000+ remote listings with FlexJobs Focuster is the ultimate organizer app for people who get easily distracted fesh. makes building an online shop quick and easy View all deals store VB Transform The AI event for business leaders Hosted Online July 15 - 17 Learn More UPCOMING EVENTS VB Transform July 15-17 The AI event of the year for enterprise executives, brought to you by today’s leading AI publisher. VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on Instagram Follow us on LinkedIn Follow us on Flipboard Follow us on RSS About Contact Careers Advertise © 2020 VentureBeat. All rights reserved. Privacy Policy Terms of Service
ProBeat: The question of cloud AI or edge AI is far from settled
ProBeat: The question cloud AI edge AI far settled VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Log Out AI Opinion ProBeat: The question cloud AI edge AI far settled Emil Protalinski June 12, 2020 10:30 AM This week, I deep dive Google Meets noise cancellation, couple months detailing Microsoft Teams noise suppression. Both use supervised learning. Both try filter typing, vacuum cleaners, rustling bags keeping speech, singing, laughter. Sure, Google Meet cancels musical instruments Microsoft Teams keeps them, theyre nearly identical. At looks like are, look hood. The timing coincidence collaboration video conferencing tools important age coronavirus, millions learn work home.Google Microsoft putting machine learning chops test hopes oneupping Zoom crushing Slack. Google Meet Microsoft Teams use AI remove background noise real time hear speech meeting call. And struck I interviewed respective product leads differently companies approaching problem. Heres simple version: Google machine learning model cloud, Microsoft machine learning model edge. But theres let quote product leads directly. Here Serge Lachapelle, G Suite director product management: VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.Our job passing cloud quickly possible. But TensorFlow processors, basically way infrastructure built, discovered media manipulation real time add 20 milliseconds delay. So thats road took. Here Robert Aichner, Microsoft Teams group program manager: A lot machine learning happens cloud. So speech recognition, example, speak microphone, thats sent cloud. The cloud huge compute, run large models recognize speech. For us, realtime communication, I need process frame. Lets 10 20 millisecond frames. I need process time I send immediately you. I send cloud, wait noise suppression, send back. That latency question leads question cost. Every additional network hop adds latency lot server processing increases cost. Googles Lachapelle, cost: Theres cost associated it. Absolutely. But modeling, felt moves needle need do. And feature bringing paying G Suite customers. As continue improve it, hopefully able bring larger larger group users. Microsofts Aichner, cost: You want sure push compute endpoint user isnt cost involved that. You laptop PC mobile phone, lets additional processing. As long youre overloading CPU, fine. But tradeoffs consider. Googles Lachapelle, speed: Doing slowing things important thats basically big chunk team try optimize speed, time. We introduce features slow things down. And I optimizing code fast possible probably half work. More creating model, machine learning part. Its like optimize, optimize, optimize. Thats hardest hurdle. Microsofts Aichner, battery life: Yeah, battery life, obviously paying attention too. We dont want lower battery life added noise suppression. Thats definitely requirement shipping. We need sure regressing there. At glance, different approaches sense. Its right companies respective DNA. Google born internet age, Microsoft pioneered software era. Microsoft traditionally software installed locally, Google apps hosted cloud. This Microsoft Office versus G Suite nutshell. Still, simple. Sure, Office dwarfs G Suite, Microsoft Azure successful Google Cloud. Meanwhile, Google Chrome thoroughly Edge based Chromium. But I digress. In building noise filtering respective video calling solutions, Google Microsoft took decisively different approaches. Google went cloud bring experience everyone, cost damned. Microsoft went edge bring best experience everyone, complexity damned. Both Lachapelle Aichner acknowledge change approach based rollout feature goes. Its early solution superior, winner. If, however, companies backpedals, clear loser: cloud edge. ProBeat column Emil rants crosses week. 10 great deals Fathers Day gifts dad actually want This Microsoft Excel training bundle 34 right Get lifetime amazing stock images videos 100 Inject real estate strategy tons data 30 Store 5TB data cloud life 80 Still havent taxes? TurboTaxs Deluxe Package sale right Level presentation 100 premium slides 30 Love working home? Browse 30,000 remote listings FlexJobs Focuster ultimate organizer app people easily distracted fesh. makes building online shop quick easy View deals store VB Transform The AI event business leaders Hosted Online July 15 17 Learn More UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. .
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https://newsdio.com/ps5-could-compose-dynamic-game-soundtracks-using-proprietary-ai/114971/
2020-05-26T00:00:00
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PS5 could compose dynamic game soundtracks using proprietary AI - NewsDio
PS5 could compose dynamic game soundtracks using proprietary AI - NewsDio BusinessTechnologyFinanceSportsFeaturedMoviesTrendingTV SHOWSWrite for US Search NewsDio BusinessTechnologyFinanceSportsFeaturedMoviesTrendingTV SHOWSWrite for US Home Featured Movies PS5 could compose dynamic game soundtracks using proprietary AIFeaturedMoviesPS5 could compose dynamic game soundtracks using proprietary AIBy - May 24, 2020010ShareFacebook Twitter Pinterest WhatsApp Linkedin ReddIt A new patent for PlayStation 5 hints at an AI that can generate game music based on player performance and in-game scenes on the go.The minds behind the next Playstation 5 They are looking for new ways to improve a player's gaming experience, and a new patent may have revealed a feature that will allow the console to generate musical soundtracks based on a given style of play or emotion using AI. Details about Sony's next-generation console have come to light at an increasing rate in recent months, and rumors point to a system release date in November 2020. The trickle of new information began with the "Road to the PS5"Live presentation from lead architect Mark Cerny in March, detailing the new console's promising SSD hard drive that will even let you play games from older PlayStation systems like the current PS4. Then came the presentation of the significantly different DualSense controller, which It caused quite a stir among fans during the month of April. While the console itself has yet to be revealed yet, the focus now appears to have shifted towards the system software, with rumors that its line of games will be announced soon and hints a new program that could allow a much more personal game experience through the music heard during a given game session. Keep scrolling to continue reading Click the button below to start this article in quick view.Related: How The PS5 Could Use Unreal Engine 5Sony has filed a new patent for a feature called "Dynamic music creation in games. "This technology consists of an AI system that monitors the characters on the screen of a game, the emotions that are transmitted in a certain scene, or even the location, the style of play and the performance of the player in the game to generate the band. sound of said game on the go. According to the patent itself, this is done by mapping one or more musical motifs to a programming vector, which in turn is assigned to a certain emotion. When the game detects that emotion transmitted in the game, the type and tone of the music assigned to the vector is generated. It is unclear if this feature will be present on the PS5 at launch or at a later time, or if it is intended for an even more advanced piece of hardware, but it is possible. So far, Sony has promised a host of exciting new features and technologies for the PS5, with the console demonstrating its impressive graphics capabilities during a recent technology demo of Epic Games' Unreal Engine 5.. Later, John Wick Hex Developer Mike Bithell talked about the aforementioned DualSense haptic feedback technology in a recent podcast, claiming that it can simulate sensations like the sensation of raindrops falling from the sky. Still, certain former Sony employees are hinting that the PS5 still holds a number of secrets that have yet to be revealed.These secrets could include the new "Dynamic music creation"Which fits with Sony's past promises to improve the overall gaming experience on the PS5. Imagine a player struggling with a level, and the soundtrack grows more tense and desperate as their health declines and enemies begin to outnumber them. Then when that player begins to gain the upper hand and gain a much-needed second wind, the music becomes more hopeful and triumphant, reflecting the emotions the player feels in snatching victory from the jaws of defeat. Such a cinematic setting might very well be possible in the Playstation 5, which is ready to usher in the latest generation of consoles when it hits stores sometime this holiday season.Next: PS5 DualSense Controller Gets An Amazing New Feature From 3D ArtistSource: Patentscope Marvel & # 39; s Avengers will allow Wall Wall players as Captain America About the AuthorJ. Brodie Shirey is simply a simple man trying to make his way in the universe, but aren't we all? He currently lives in York, Pennsylvania and works as a dishwasher at Shallow Brook Middle School. He is a huge fan of comics, video games, and science fiction, and likes to write reviews on his blog during his spare time, at least when he doesn't write articles for ScreenRant or screenplays for some of his crazy TV show ideas. A graduate of the York County School of Technology, he has published several books on Amazon, and once won 1st place at a regional computer fair for an animated CGI short. I could post it on Youtube someday. He hopes working for this site will be his first step in the broader universe of online writing, as Megazord technology has not yet been invented and does not appear to have Force powers. You can see his work at The Uncanny Fox, buy his books on Amazon.com, see his scripts posted on Script Revolution, or see his portfolio here or here. It can also be followed on Twitter @FoxUncanny.More information on J. Brodie Shirey ShareFacebook Twitter Pinterest WhatsApp Linkedin ReddIt Previous articleiPhone 11 vs iPhone 11 Pro vs iPhone 11 Pro Max: the main differences to worry aboutNext articleEndgame created a big plot hole for Doctor Strange that no one caught RELATED ARTICLESMORE FROM AUTHORSummerland Trailer and IFC Films Poster by Filmmaker Jessica SwaleJesse Eisenberg reacts to Justice League Snyder Cut NewsThe best phone games that encourage outdoor exercise like Pokémon GOEverything new on Netflix this week3 kids let a black widow spider bite them in hopes of becoming Spider-ManLabyrinth Sequel advances with new director and writerLEAVE A REPLY Cancel replyPlease enter your comment! Please enter your name here You have entered an incorrect email address!Please enter your email address here Save my name, email, and website in this browser for the next time I comment. Summerland Trailer and IFC Films Poster by Filmmaker Jessica Swale - May 26, 20200 IFC Films & # 39; Summerland Trailer and poster for filmmaker Jessica SwaleIFC Films has released the official trailer and poster for the...Redmi 10X, Redmi 10X Pro with released 48 megapixel main camera:... May 26, 2020Jesse Eisenberg reacts to Justice League Snyder Cut News May 26, 2020The best phone games that encourage outdoor exercise like Pokémon GO May 26, 2020Read an excerpt from the Star Wars prequel centered on Padmé... May 26, 2020NewsDio is a website intended to deliver news related to Business, Tech, Finance, and Sports networks. It is operated by writers and co-workers situated at several locations globally. We aim to create high-quality content for our readers of business and tech niche. At NewsDio, we offer the latest news, prices, breakthroughs, and analysis with emphasis on expert opinion and commentary from the Finance and Business community.Contact DetailsEmail –[email protected] Posts Summerland Trailer and IFC Films Poster by Filmmaker Jessica Swale Redmi 10X, Redmi 10X Pro with released 48 megapixel main camera: price, specs Jesse Eisenberg reacts to Justice League Snyder Cut News The best phone games that encourage outdoor exercise like Pokémon GO Read an excerpt from the Star Wars prequel centered on Padmé and her maidens The best parent headphones from $ 50 to $ 400Summerland Trailer and IFC Films Poster by Filmmaker Jessica Swale - May 26, 20200 IFC Films & # 39; Summerland Trailer and poster for filmmaker Jessica SwaleIFC Films has released the official trailer and poster for the...Write for USTeamPrivacy PolicyContact Us © Edit with Live CSS SaveWrite CSS OR LESS and hit save. CTRL + SPACE for auto-complete.
PS5 could compose dynamic game soundtracks using proprietary AI
PS5 compose dynamic game soundtracks proprietary AI NewsDio BusinessTechnologyFinanceSportsFeaturedMoviesTrendingTV SHOWSWrite US NewsDio BusinessTechnologyFinanceSportsFeaturedMoviesTrendingTV SHOWSWrite US Home Featured Movies PS5 compose dynamic game soundtracks proprietary AIFeaturedMoviesPS5 compose dynamic game soundtracks proprietary AIBy May 24, 2020010ShareFacebook Twitter Pinterest WhatsApp Linkedin ReddIt A new patent PlayStation 5 hints AI generate game music based player performance ingame scenes go.The minds Playstation 5 They looking new ways improve players gaming experience, new patent revealed feature allow console generate musical soundtracks based given style play emotion AI. Details Sonys nextgeneration console come light increasing rate recent months, rumors point release date November 2020. The trickle new information began Road PS5Live presentation lead architect Mark Cerny March, detailing new consoles promising SSD hard drive let play games older PlayStation systems like current PS4. Then came presentation significantly different DualSense controller, It caused stir fans month April. While console revealed yet, focus appears shifted software, rumors line games announced soon hints new program allow personal game experience music heard given game session. Keep scrolling continue reading Click button start article quick view.Related: How The PS5 Could Use Unreal Engine 5Sony filed new patent feature called Dynamic music creation games. This technology consists AI monitors characters screen game, emotions transmitted certain scene, location, style play performance player game generate band. sound said game go. According patent itself, mapping musical motifs programming vector, turn assigned certain emotion. When game detects emotion transmitted game, type tone music assigned vector generated. It unclear feature present PS5 launch later time, intended advanced piece hardware, possible. So far, Sony promised host exciting new features technologies PS5, console demonstrating impressive graphics capabilities recent technology demo Epic Games Unreal Engine 5.. Later, John Wick Hex Developer Mike Bithell talked aforementioned DualSense haptic feedback technology recent podcast, claiming simulate sensations like sensation raindrops falling sky. Still, certain Sony employees hinting PS5 holds number secrets revealed.These secrets include new Dynamic music creationWhich fits Sonys past promises improve overall gaming experience PS5. Imagine player struggling level, soundtrack grows tense desperate health declines enemies begin outnumber them. Then player begins gain upper hand gain muchneeded second wind, music hopeful triumphant, reflecting emotions player feels snatching victory jaws defeat. Such cinematic setting possible Playstation 5, ready usher latest generation consoles hits stores holiday season.Next: PS5 DualSense Controller Gets An Amazing New Feature From 3D ArtistSource: Patentscope Marvel 39; Avengers allow Wall Wall players Captain America About AuthorJ. Brodie Shirey simply simple man trying way universe, arent all? He currently lives York, Pennsylvania works dishwasher Shallow Brook Middle School. He huge fan comics, video games, science fiction, likes write reviews blog spare time, doesnt write articles ScreenRant screenplays crazy TV ideas. A graduate York County School Technology, published books Amazon, 1st place regional fair animated CGI short. I post Youtube someday. He hopes working site step broader universe online writing, Megazord technology invented appear Force powers. You work The Uncanny Fox, buy books , scripts posted Script Revolution, portfolio here. It followed Twitter information J. Brodie Shirey ShareFacebook Twitter Pinterest WhatsApp Linkedin ReddIt Previous articleiPhone 11 vs iPhone 11 Pro vs iPhone 11 Pro Max: main differences worry aboutNext articleEndgame created big plot hole Doctor Strange caught RELATED ARTICLESMORE FROM AUTHORSummerland Trailer IFC Films Poster Filmmaker Jessica SwaleJesse Eisenberg reacts Justice League Snyder Cut NewsThe best phone games encourage outdoor exercise like Pokmon GOEverything new Netflix week3 kids let black widow spider bite hopes SpiderManLabyrinth Sequel advances new director writerLEAVE A REPLY Cancel replyPlease enter comment Please enter You entered incorrect email addressPlease enter email address Save name, email, website browser time I comment. Summerland Trailer IFC Films Poster Filmmaker Jessica Swale May 26, 20200 IFC Films 39; Summerland Trailer poster filmmaker Jessica SwaleIFC Films released official trailer poster the...Redmi 10X, Redmi 10X Pro released 48 megapixel main camera:... May 26, 2020Jesse Eisenberg reacts Justice League Snyder Cut News May 26, 2020The best phone games encourage outdoor exercise like Pokmon GO May 26, 2020Read excerpt Star Wars prequel centered Padm... May 26, 2020NewsDio website intended deliver news related Business, Tech, Finance, Sports networks. It operated writers coworkers situated locations globally. We aim create highquality content readers business tech niche. At NewsDio, offer latest news, prices, breakthroughs, analysis emphasis expert opinion commentary Finance Business community. DetailsEmail sbanu034 Posts Summerland Trailer IFC Films Poster Filmmaker Jessica Swale Redmi 10X, Redmi 10X Pro released 48 megapixel main camera: price, specs Jesse Eisenberg reacts Justice League Snyder Cut News The best phone games encourage outdoor exercise like Pokmon GO Read excerpt Star Wars prequel centered Padm maidens The best parent headphones 50 400Summerland Trailer IFC Films Poster Filmmaker Jessica Swale May 26, 20200 IFC Films 39; Summerland Trailer poster filmmaker Jessica SwaleIFC Films released official trailer poster the...Write USTeam Us Edit Live CSS SaveWrite CSS OR LESS hit save. CTRL SPACE autocomplete.
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https://www.prnewswire.com/news-releases/flex-logix-announces-working-silicon-of-fastest-and-most-efficient-ai-edge-inference-chip-301155483.html
2020-10-20T00:00:00
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Flex Logix Announces Working Silicon Of Fastest And Most Efficient AI Edge Inference Chip
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a Release Sign Up Log In Resources Blog Journalists RSS GDPR People & Culture People & Culture Send a Release Sign Up Log In Resources Blog Journalists RSS GDPR Send a Release Sign Up Log In Resources Blog Journalists RSS GDPR Overview Distribution by PR Newswire Cision Communications Cloud® Cision IR All Products Send a Release Sign Up Log In Resources Blog Journalists RSS GDPR General Inquiries Request a Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send a Release Sign Up Log In Resources Blog Journalists RSS GDPR Flex Logix Announces Working Silicon Of Fastest And Most Efficient AI Edge Inference Chip InferX X1 brings AI to the masses; rivaling NVIDIA Xavier at 1/7th size and 10-100x better price/performance News provided by Flex Logix Technologies, Inc. Oct 20, 2020, 08:00 ET Share this article MOUNTAIN VIEW, Calif., Oct. 20, 2020 /PRNewswire/ -- Flex Logix® Technologies, Inc. today announced availability of its InferX™ X1, the industry's fastest AI inference chip for edge systems. InferX X1 accelerates performance of neural network models such as object detection and recognition, and other neural network models, for robotics, industrial automation, medical imaging, gene sequencing, bank security, retail analytics, autonomous vehicles, aerospace and more. InferX X1 runs YOLOv3 object detection and recognition 30% faster than NVIDIA's industry leading Jetson Xavier and runs other real-world customer models up to ten times faster. Flex Logix InferX X1 Price/Performance Advantage Many customers plan to use YOLOv3 in their products in robotics, bank security and retail analytics because it is the highest accuracy object detection and recognition algorithm. Additional customers have custom models they have developed for a range of applications where they need more throughput at lower cost. Flex Logix has benchmarked models for these applications and demonstrated to these customers that InferX X1 provides the needed throughput and lower cost. Sampling to early engagement customers will begin soon with broader sampling in Q1, and production parts will be available in the second quarter of 2021. The InferX X1 silicon area is 54mm2 which is 1/5th the size of a US penny and is much smaller than NVIDIA's Jetson Xavier at 350mm2. InferX X1's high-volume price is as much as 10 times lower than NVIDIA's Xavier NX, enabling high-quality, high-performance AI inference for the first time to be implemented in mass market products selling in the millions of units. InferX X1's software makes it easy to adopt. The InferX Compiler takes models in TensorFlow Lite or ONNX to program the InferX X1."Customers with existing edge inference systems are asking for more inference performance at better prices so they can implement neural networks in higher volume applications. InferX X1 meets their needs with both higher performance and lower prices," said Geoff Tate, CEO and co-founder of Flex Logix. "InferX X1 delivers a 10-to-100 times improvement in inference price/performance versus the current industry leader.""The technology announced by Flex Logix is a game changer and will significantly expand AI applications by bringing inference capabilities to the mass market," said Mike Gianfagna, principal at Gforce Marketing Inc. and SemiWiki contributor. "Other inference solutions can't compete with the price/performance that Flex Logix has achieved, and this is going to be a major disruptor in a market that is already forecast to grow exponentially in the future.""TIRIAS Research believes that wide deployment of machine learning inference both inside and outside the data center has just begun," said Kevin Krewell, Principal Analyst at Tirias Research. "The key to deploying inference in volume and to a broad range of industries will be power- and cost-efficient silicon solutions that can be deployed in various edge device form factors. We believe Flex Logix is on track to deliver such a solution with its InferX X1 accelerator and boards.""The InferX performance results are impressive and exceed the throughput of other products in its class," said Linley Gwennap, principal analyst at The Linley Group. "Customers should find the combination of efficient performance and relatively low price to be attractive for a range of intelligent edge devices."Based on multiple Flex Logix proprietary technologies, the InferX X1 features a new architecture that achieves more throughput from less silicon area. Flex Logix's XFLX™ double density programmable interconnect is already used in the eFPGA (embedded FPGA) that Flex Logix has supplied for years to multiple customers including Dialog, Boeing, Sandia National Labs, and Datung Telecommunications. This is combined with a reconfigurable Tensor Processor consisting of 64 1-Dimensional Tensor Processors that are reconfigurable to efficiently implement the wide range of neural network operations. Because reconfiguration can be done in microseconds, each layer of a neural network model can be optimized with full-speed data paths for each layer. InferX X1 mass production chips and software will be available Q2 2021. Customer samples and advance Compiler and Software Tools will be available in Q1 2021. Customers with Neural Network Models in TensorFlowLite or ONNX with volume applications in 2021 may contact Flex Logix now for performance benchmarking, early sampling and tool access, and detailed specifications and pricing.More information is also available at www.flex-logix.com. Technology Details and Specifications: High MAC utilization up to 70% for large models/images translates into less silicon area/cost 1-Dimensional Tensor Processors (1D TPUs) are a 1D systolic array 64 byte input tensor 64 INT8 MACs 32 BF16 MACs 64 byte x 256 byte weight matrix One dimensional systolic array produces an output tensor every 64 cycles using 4096 MAC operations Reconfigurable Tensor Processor made up of 64 1D TPUs per X1 TPUs can be configured in series or in parallel to implement a wide range of tensor operations; this flexibility enables high performance implementation of new operations such as 3D convolution Programmable interconnect provides a full speed, non-contention data path from SRAM through the TPUs to SRAM eFPGA programmable logic implements high speed state machines that control the TPUs and implement the control algorithms for the operators Each layer of a model is configured exactly as needed; reconfiguration for a new layer takes just microseconds DRAM traffic bringing in the weights and configuration for the next layer occurs in the background during compute of the current layer; this minimizes compute stalls Combining two layers in one configuration (layer fusion) minimizes DRAM traffic delays. Minimal memory keeps cost down: LPDDR4x DRAM, 14MB total SRAM x4 PCIe Gen 3 or Gen 4 provides rapid communication with the host 54 mm2 die size in 16nm process 21 x 21 mm flip-chip Ball Grid Array package Availability and PricingThe InferX X1 is sampling soon to selected customers and production is expected in the second quarter of 2021. Pricing ranges based on configuration and volumes from $34 - $199.  Commercial Pricing (1,000 units – 1 million units) Speed Commercial Cost 933 MHz $199-$69 800 MHz $149-$49 667 MHz $124-$39 533 MHz $99-$34 Industrial and aerospace temperature range versions are also available. See www.flex-logix.com or contact [email protected] for details on pricing. About Flex LogixFlex Logix provides industry-leading solutions for making flexible chips and accelerating neural network inferencing. Its InferX X1 is the industry's fastest and most-efficient AI edge inference accelerator that will bring AI to the masses in high-volume applications, surpassing competitor's performance at 1/7th size and 10x lower price. Flex Logix's eFPGA platform enables chips to be flexible to handle changing protocols, standards, algorithms, and customer needs and to implement reconfigurable accelerators that speed key workloads 30-100x compared to processors. Flex Logix is headquartered in Mountain View, California. For more information, visit https://flex-logix.com MEDIA CONTACTSKelly KarrTanis Communications[email protected]+408-718-9350Copyright 2020. All rights reserved. Flex Logix is a registered trademark and InferX and nnMAX are trademarks of Flex Logix, Inc.SOURCE Flex Logix Technologies, Inc. Related Links https://flex-logix.com × Modal title Also from this source Kushagra Vaid Joins Flex Logix's Board of Directors... Flex Logix Announces nnMAX AI Inference IP In Development On... 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Flex Logix Announces Working Silicon Of Fastest And Most Efficient AI Edge Inference Chip
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Sign Up Log In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Flex Logix Announces Working Silicon Of Fastest And Most Efficient AI Edge Inference Chip InferX X1 brings AI masses; rivaling NVIDIA Xavier 17th size 10100x better priceperformance News provided Flex Logix Technologies, . Oct 20, 2020, 08:00 ET Share article MOUNTAIN VIEW, Calif., Oct. 20, 2020 PRNewswire Flex LogixTechnologies, . today announced availability InferX X1, industrys fastest AI inference chip edge systems. InferX X1 accelerates performance neural network models object detection recognition, neural network models, robotics, industrial automation, medical imaging, gene sequencing, bank security, retail analytics, autonomous vehicles, aerospace more. InferX X1 runs YOLOv3 object detection recognition 30 faster NVIDIAs industry leading Jetson Xavier runs realworld customer models times faster. Flex Logix InferX X1 PricePerformance Advantage Many customers plan use YOLOv3 products robotics, bank security retail analytics highest accuracy object detection recognition algorithm. Additional customers custom models developed range applications need throughput lower cost. Flex Logix benchmarked models applications demonstrated customers InferX X1 provides needed throughput lower cost. Sampling early engagement customers begin soon broader sampling Q1, production parts available second quarter 2021. The InferX X1 silicon area 54mm2 15th size US penny smaller NVIDIAs Jetson Xavier 350mm2. InferX X1s highvolume price 10 times lower NVIDIAs Xavier NX, enabling highquality, highperformance AI inference time implemented mass market products selling millions units. InferX X1s software makes easy adopt. The InferX Compiler takes models TensorFlow Lite ONNX program InferX X1.Customers existing edge inference systems asking inference performance better prices implement neural networks higher volume applications. InferX X1 meets needs higher performance lower prices, said Geoff Tate, CEO cofounder Flex Logix. InferX X1 delivers 10to100 times improvement inference priceperformance versus current industry leader.The technology announced Flex Logix game changer significantly expand AI applications bringing inference capabilities mass market, saidMike Gianfagna, principal Gforce Marketing . SemiWiki contributor. Other inference solutions compete priceperformance Flex Logix achieved, going major disruptor market forecast grow exponentially future.TIRIAS Research believes wide deployment machine learning inference inside outside data center begun, said Kevin Krewell, Principal Analyst Tirias Research. The key deploying inference volume broad range industries power costefficient silicon solutions deployed edge device form factors. We believe Flex Logix track deliver solution InferX X1 accelerator boards.The InferX performance results impressive exceed throughput products class, said Linley Gwennap, principal analyst The Linley Group. Customers combination efficient performance relatively low price attractive range intelligent edge devices.Based multiple Flex Logix proprietary technologies, InferX X1 features new architecture achieves throughputfrom silicon area. Flex Logixs XFLX double density programmable interconnect eFPGA embedded FPGA Flex Logix supplied years multiple customers including Dialog, Boeing, Sandia National Labs, Datung Telecommunications. This combined reconfigurable Tensor Processor consisting 64 1Dimensional Tensor Processors reconfigurable efficiently implement wide range neural network operations. Because reconfiguration microseconds, layer neural network model optimized fullspeed data paths layer. InferX X1 mass production chips software available Q2 2021. Customer samples advance Compiler Software Tools available Q1 2021. Customers Neural Network Models TensorFlowLite ONNX volume applications 2021 contact Flex Logix performance benchmarking, early sampling tool access, detailed specifications pricing.More information available Technology Details Specifications: High MAC utilization 70 large modelsimages translates silicon areacost 1Dimensional Tensor Processors 1D TPUs 1D systolic array 64 byte input tensor 64 INT8 MACs 32 BF16 MACs 64 byte x 256 byte weight matrix One dimensional systolic array produces output tensor 64 cycles 4096 MAC operations Reconfigurable Tensor Processor 64 1D TPUs X1 TPUs configured series parallel implement wide range tensor operations; flexibility enables high performance implementation new operations 3D convolution Programmable interconnect provides speed, noncontention data path SRAM TPUs SRAM eFPGA programmable logic implements high speed state machines control TPUs implement control algorithms operators Each layer model configured exactly needed; reconfiguration new layer takes microseconds DRAM traffic bringing weights configuration layer occurs background compute current layer; minimizes compute stalls Combining layers configuration layer fusion minimizes DRAM traffic delays. Minimal memory keeps cost down: LPDDR4x DRAM, 14MB total SRAM x4 PCIe Gen 3 Gen 4 provides rapid communication host 54 mm2 die size 16nm process 21 x 21 mm flipchip Ball Grid Array package Availability PricingThe InferX X1 sampling soon selected customers production expected second quarter 2021. Pricing ranges based configuration volumes 34 199. Commercial Pricing 1,000 units 1 million units Speed Commercial Cost 933 MHz 19969 800 MHz 14949 667 MHz 12439 533 MHz 9934 Industrial aerospace temperature range versions available. See contact [emailprotected] details pricing. About Flex LogixFlex Logix provides industryleading solutions making flexible chips accelerating neural network inferencing. ItsInferX X1 industrys fastest mostefficient AI edge inference accelerator bring AI masses highvolume applications, surpassing competitorsperformance 17thsize 10x lower price.Flex Logixs eFPGA platform enables chips flexible handle changing protocols, standards, algorithms, customer needs implement reconfigurable accelerators speed key workloads 30100x compared processors.Flex Logix headquartered Mountain View, California. For information, visit MEDIA CONTACTSKelly KarrTanis Communications[emailprotected]4087189350 2020. . Flex Logix registered trademark InferX nnMAX trademarks Flex Logix, .SOURCE Flex Logix Technologies, . Related Links Modal title Also source Kushagra Vaid Joins Flex Logixs Board Directors... Flex Logix Announces nnMAX AI Inference IP In Development On... 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https://www.benzinga.com/pressreleases/20/08/n17086830/savan-group-delivers-cloud-based-artificial-intelligence-and-machine-learning-capability?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+benzinga%2Fnews+%28Channels+-+News%29
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Savan Group Delivers Cloud-Based Artificial Intelligence and Machine Learning Capability | Benzinga
Savan Group Delivers Cloud-Based Artificial Intelligence and Machine Learning Capability | Benzinga Data & APIs Events Cannabis Marketfy Premarket Prep + Create your free account Already have an account? Login Name: Email Address: Password: Leave blank: By creating an account, you agree to theTerms of Service and acknowledge our Privacy Policy. + Log in to your account Email Address: Password: Forgot your password? Don't have a Benzinga account? Create one Contribute Login Join NewsEarnings Guidance Dividends M&A Buybacks Legal Interviews Management Retail Sales Offerings IPOs Insider Trades Biotech/FDA Freight Tech MarketsPre-Market After Hours Movers ETFs Forex Cannabis Commodities Options Binary Options Bonds Futures Global Economics Previews Reviews Small-Cap Cryptocurrency Penny Stocks RatingsAnalyst Color Downgrades Upgrades Initiations Price Target IdeasCatalyst Long Ideas Short Ideas Technicals From The Press Jim Cramer Rumors Fintech InvestingBest Online Brokers Personal Finance Compare Brokers Ally Invest Review Binary Options Review eOption Etrade Review Forex.com Review Interactive Brokers Review Personal Capital Review Suretrader Review TD Ameritrade Review Tradestation Review Yewno|Edge Review Cannabis EducationEducation News Forex Trading InFOCUS Newsletter Online Investing Options Trading Practice Simulator Premium Market Overview TickersArticlesKeywordsSearch by keyword...googlecse Savan Group Delivers Cloud-Based Artificial Intelligence and Machine Learning Capability PRNewswire   {{following ? "Following" : "Follow"}} August 14, 2020 1:39pm   Comments Share: MCLEAN, Va., Aug. 14, 2020 /PRNewswire/ -- Today, Savan Group, a leader in advanced data analytics and visualization, announced that it has partnered with Amazon Web Services (AWS) to establish a cloud-based artificial intelligence (AI) and machine learning (ML) platform. Savan Group continues to apply state-of-the-art AI solutions to address the data and information challenges of the Federal Government. Savan Group is now developing ML models with near unlimited scale using distributed cloud storage and GPU compute within a FedRAMP-authorized environment. The Federal Government is under increasing pressure to fully leverage the value of data for mission, service, and public good. Unfortunately, much of this data is locked away in documents, videos, audio, images, and paper. Additionally, the creation of unstructured data is rapidly outpacing the ability for organizations to manage, govern, and recognize its value. Leveraging ML and natural language processing (NLP), Savan Group is analyzing and extracting untapped potential, turning data into information and information into knowledge. With AWS, Savan Group is taking its ML capability to the next level with greater time to innovation and at a lower cost. "The ability to leverage distributed cloud processing enables Savan Group to rapidly develop, test, and execute its ML models. This is a game-changer for our ability to address the Government's data and information challenges at virtually unlimited scale," said Dan Albarran, Savan Group's Chief Technology Officer. "Data has become the new oil, and our cloud-based AI platform is unlocking the value of data for the benefit of the Government and the taxpayer." About Savan GroupSavan Group, LLC is an nationally recognized information and data management consulting firm that is a trusted partner to public sector clients, helping them solve their most critical management and operational challenges with sustainable success that is uniquely tailored to their environment. Savan Group is headquartered in McLean, Virginia and has several prime contract vehicles, including GSA PSS, GSA IT 70, GSA Schedule 36, and GSA 8(a) STARS II. ContactCatherine CanaryTechnical Writer | Savan Group703-672-0010 | [email protected] View original content:http://www.prnewswire.com/news-releases/savan-group-delivers-cloud-based-artificial-intelligence-and-machine-learning-capability-301112589.html SOURCE Savan Group View Comments and Join the Discussion!   View the discussion thread. Need newswire data? Click here to see licensing options. Don't Miss Any Updates! 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Savan Group Delivers Cloud-Based Artificial Intelligence and Machine Learning Capability
Savan Group Delivers CloudBased Artificial Intelligence Machine Learning Capability Benzinga Data APIs Events Cannabis Marketfy Premarket Prep Create free account Already account? Name: Email Address: Password: Leave blank: By creating account, agree acknowledge . Log account Email Address: Password: Forgot password? Dont Benzinga account? Create Contribute Join NewsEarnings Guidance Dividends MA Buybacks Legal Interviews Management Retail Sales Offerings IPOs Insider Trades BiotechFDA Freight Tech MarketsPreMarket After Hours Movers ETFs Forex Cannabis Commodities Options Binary Options Bonds Futures Global Economics Previews Reviews SmallCap Cryptocurrency Penny Stocks RatingsAnalyst Color Downgrades Upgrades Initiations Price Target IdeasCatalyst Long Ideas Short Ideas Technicals From The Press Jim Cramer Rumors Fintech InvestingBest Online Brokers Personal Finance Compare Brokers Ally Invest Review Binary Options Review eOption Etrade Review Review Interactive Brokers Review Personal Capital Review Suretrader Review TD Ameritrade Review Tradestation Review YewnoEdge Review Cannabis EducationEducation News Forex Trading InFOCUS Newsletter Online Investing Options Trading Practice Simulator Premium Market Overview TickersArticlesKeywords keyword...googlecse Savan Group Delivers CloudBased Artificial Intelligence Machine Learning Capability PRNewswire following ? Following : Follow August 14, 2020 1:39pm Comments Share: MCLEAN, Va., Aug. 14, 2020 PRNewswire Today, Savan Group, leader advanced data analytics visualization, announced partnered Amazon Web Services AWS establish cloudbased artificial intelligence AI machine learning ML platform. Savan Group continues apply stateoftheart AI solutions address data information challenges Federal Government. Savan Group developing ML models near unlimited scale distributed cloud storage GPU compute FedRAMPauthorized environment. The Federal Government increasing pressure fully leverage value data mission, service, public good. Unfortunately, data locked away documents, videos, audio, images, paper. Additionally, creation unstructured data rapidly outpacing ability organizations manage, govern, recognize value. Leveraging ML natural language processing NLP, Savan Group analyzing extracting untapped potential, turning data information information knowledge. With AWS, Savan Group taking ML capability level greater time innovation lower cost. The ability leverage distributed cloud processing enables Savan Group rapidly develop, test, execute ML models. This gamechanger ability address Governments data information challenges virtually unlimited scale, said Dan Albarran, Savan Groups Chief Technology Officer. Data new oil, cloudbased AI platform unlocking value data benefit Government taxpayer. About Savan GroupSavan Group, LLC nationally recognized information data management consulting firm trusted partner public sector clients, helping solve critical management operational challenges sustainable success uniquely tailored environment. Savan Group headquartered McLean, Virginia prime contract vehicles, including GSA PSS, GSA IT 70, GSA Schedule 36, GSA 8a STARS II. Catherine CanaryTechnical Writer Savan Group7036720010 news View original content: SOURCE Savan Group View Comments Join Discussion View discussion thread. Need newswire data? 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https://marketreportobserver.com/global-artificial-intelligence-in-cyber-security-market-by-companies-region-type-and-end-use-industry-2019-2024/
2020-01-02T00:00:00
en
Global Artificial Intelligence in Cyber Security Market by Companies, Region, Type and End-use Industry 2019 – 2024 – Market Reports Observer
Global Artificial Intelligence in Cyber Security Market by Companies, Region, Type and End-use Industry 2019 – 2024 – Market Reports Observer Skip to content 488 E 11th Ave, Eugene, OR 97401, USA +1 541-687-2347 [email protected] Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Global Artificial Intelligence in Cyber Security Market by Companies, Region, Type and End-use Industry 2019 – 2024 Global Artificial Intelligence in Cyber Security Market by Companies, Region, Type and End-use Industry 2019 – 2024 by david in Uncategorized on January 2, 2020 0 MRInsights.biz has the latest research report titled Global Artificial Intelligence in Cyber Security Market 2019-2024 which offers data associated with global Artificial Intelligence in Cyber Security market trends and drivers, revenue, growth, technologies, and the market enhancing the capital format. The report analyzes the top manufacturers, regions, revenue, application, price, as well as an industry sales channel, distributors, traders, dealers, research findings, conclusion, appendix, and data source. The report explains the industry, chain structure, applications, market situation and future prospects of the market for 2019 to 2024 estimated period. It highlights key market dynamics, the profile of key market players, and a comprehensive overview of the market environment. It additionally scrutinizes product development, partnerships, tie-ups, etc. Get Free Sample Report @ https://www.mrinsights.biz/report-detail/162445/request-sample  The entire Artificial Intelligence in Cyber Security market report is further divided into prominent manufacturers, countries/regions, and various segments for the competitive landscape study. The report has comprehensively discussed key drivers, restraints, challenges, trends, and opportunities of the global market. Next part of the report throws light on the market growth of several types of products sold by leading companies with the sales volume, revenue (Million USD), product price, market share, and growth rate of each type as well as deeply assesses the market potential of key applications with sales volume, market share, and growth rate and identifies future opportunities in the global market. The following manufacturers are covered in this report, with sales, revenue, and market share for each company: BAE Systems, Cisco Systems, Fortinet, FireEye, Check Point Software Technologies, IBM Corporation, RSA Security, Symantec Corporation, Juniper Network, Palo Alto Networks,  Each regional market is carefully looked into for understanding its current and future growth scenarios. Major regions that play a vital role in the market are: North America (United States, Canada and Mexico) Europe (Germany, France, UK, Russia and Italy) Asia-Pacific (China, Japan, Korea, India and Southeast Asia) South America (Brazil, Argentina, Colombia etc.) Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Access Full Report with TOC @ https://www.mrinsights.biz/report/global-artificial-intelligence-ai-in-cyber-security-market-162445.html   Key Objectives of This Report: To analyze and research the global Artificial Intelligence in Cyber Security status and future forecast To split the breakdown data by regions, types, companies, and applications. To analyze the global and key regions’ market potential and advantage, opportunity and challenge, restraints and risks. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market Key Benefits of This Report: The report serves an extensive analysis of the current and emerging market trends and key and opportunities in the Artificial Intelligence in Cyber Security market. The future estimations are provided to help businesses evaluate the prevailing market opportunities. A comprehensive analysis of the factors that drive and restrict the growth of the market is given. An extensive analysis of the market is conducted by following key product positioning and tracking the top competitors within the market. Customization of the Report: This report can be customized to meet the client’s requirements. Please connect with our sales team ([email protected]), who will ensure that you get a report that suits your needs. This post was originally published on Market Reports Observer Tags: Artificial Intelligence in Cyber Security, Global Artificial Intelligence in Cyber Security Market 2019, Global Artificial Intelligence in Cyber Security Market Research Analysis Post navigation Previous: Previous post: Global Handwriting Recognition Market by Companies, Region, Type and End-use Industry 2019 – 2024Next: Next post: Global Commercial Vehicle Air Suspension Market 2020 Trends Forecast Analysis by Manufacturers, Regions, Type and Application to 2025 Search for: Latest News Customer Satisfaction In Financial Services Market with top key players: Mizuho Financial Group,Trader Joe’s,Aldi January 2, 2020 Modified Atmosphere Packaging Material Market – Global Industry To Witness Highest Growth During 2019-2025 January 2, 2020 Global Aerospace Industry Coordinate Measuring Machines Market 2020 By Segment Forecasts 2025 | HEXAGON METROLOGY, MAHR METERING SYSTEMS, Mitutoyo, Nikon January 2, 2020 Wasabi Market Comprehensive Growth 2020-2023 with Top key vendor KINJIRUSHI, Oregon Coast Wasabi and Frog Eyes Wasabi, PACIFIC COAST WASABI, Real Wasabi, etc January 2, 2020 Mosquito Repellent Clothing Market Company Profiles, Financial Perspective 2025 | Rohan, BugsAway (ExOfficio LLC), Insect Shield January 2, 2020 Financial Payment Cards Market Research Key Players, Industry Overview and forecasts to 2025 | CPI Card Group, Gemalto, American Banknote Corporation January 2, 2020 2020 Report: Coal-Tar Pitch Market SWOT Analysis by Top Companies – Elkem, Himadri, The Garland Company, Gautam Zen International, and More… January 2, 2020 Global Pet Dog and Cat Furniture Market: Reporting and Evaluation of Recent Industry Developments Acrila, Modenese Interiors, MiaCara January 2, 2020 Security Cameras Market 2020 Latest trends with Advancement by Top Key Players: Hikvision etc. January 2, 2020 Removable Wallpaper Market Brief Analysis and Application, Growth by 2025 | Spoonflower, Graham & Brown, Tempaper January 2, 2020 ©  2020 Market Reports Observer. Built using WordPress and the Highlight Theme
Global Artificial Intelligence in Cyber Security Market by Companies, Region, Type and End-use Industry 2019
Global Artificial Intelligence Cyber Security Market Companies, Region, Type Enduse Industry 2019 2024 Market Reports Observer Skip content 488 E 11th Ave, Eugene, OR 97401, USA 1 5416872347 [emailprotected] Market Reports Observer NASA Space Launches Rockets Satellites About Market Reports Observer NASA Space Launches Rockets Satellites About Global Artificial Intelligence Cyber Security Market Companies, Region, Type Enduse Industry 2019 2024 Global Artificial Intelligence Cyber Security Market Companies, Region, Type Enduse Industry 2019 2024 david Uncategorized January 2, 2020 0 MRInsights.bizhas latest research report titledGlobalArtificial Intelligence Cyber SecurityMarket 20192024which offers data associated globalArtificial Intelligence Cyber Securitymarket trends drivers, revenue, growth, technologies, market enhancing capital format. The report analyzes manufacturers, regions, revenue, application, price, industry sales channel, distributors, traders, dealers, research findings, conclusion, appendix, data source. The report explains industry, chain structure, applications, market situation future prospects market 2019 2024 estimated period. It highlights key market dynamics, profile key market players, comprehensive overview market environment. It additionally scrutinizes product development, partnerships, tieups, etc. Get Free Sample Report @ The entireArtificial Intelligence Cyber Securitymarket report divided prominent manufacturers, countriesregions, segments competitive landscape study. The report comprehensively discussed key drivers, restraints, challenges, trends, opportunities global market. Next report throws light market growth types products sold leading companies sales volume, revenue Million USD, product price, market share, growth rate type deeply assesses market potential key applications sales volume, market share, growth rate identifies future opportunities global market. The following manufacturers covered report, sales, revenue, market share company:BAE Systems, Cisco Systems, Fortinet, FireEye, Check Point Software Technologies, IBM Corporation, RSA Security, Symantec Corporation, Juniper Network, Palo Alto Networks, Each regional market carefully looked understanding current future growth scenarios. Major regions play vital role market are: North AmericaUnited States, Canada Mexico EuropeGermany, France, UK, Russia Italy AsiaPacificChina, Japan, Korea, India Southeast Asia South AmericaBrazil, Argentina, Colombia etc. Middle East AfricaSaudi Arabia, UAE, Egypt, Nigeria South Africa Access Full Report TOC @ Key Objectives This Report: To analyze research globalArtificial Intelligence Cyber Securitystatus future forecast To split breakdown data regions, types, companies, applications. To analyze global key regions market potential advantage, opportunity challenge, restraints risks. To analyze competitive developments expansions, agreements, new product launches, acquisitions market Key Benefitsof This Report: The report serves extensive analysis current emerging market trends key opportunities theArtificial Intelligence Cyber Securitymarket. The future estimations provided help businesses evaluate prevailing market opportunities. A comprehensive analysis factors drive restrict growth market given. An extensive analysis market conducted following key product positioning tracking competitors market. Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs. This post originally published Market Reports Observer Tags: Artificial Intelligence Cyber Security, Global Artificial Intelligence Cyber Security Market 2019, Global Artificial Intelligence Cyber Security Market Research Analysis Post navigation Previous: Previous post: Global Handwriting Recognition Market Companies, Region, Type Enduse Industry 2019 2024Next: Next post: Global Commercial Vehicle Air Suspension Market 2020 Trends Forecast Analysis Manufacturers, Regions, Type Application 2025 for: Latest News Customer Satisfaction In Financial Services Market key players: Mizuho Financial Group,Trader Joes,Aldi January 2, 2020 Modified Atmosphere Packaging Material Market Global Industry To Witness Highest Growth During 20192025 January 2, 2020 Global Aerospace Industry Coordinate Measuring Machines Market 2020 By Segment Forecasts 2025 HEXAGON METROLOGY, MAHR METERING SYSTEMS, Mitutoyo, Nikon January 2, 2020 Wasabi Market Comprehensive Growth 20202023 Top key vendor KINJIRUSHI, Oregon Coast Wasabi Frog Eyes Wasabi, PACIFIC COAST WASABI, Real Wasabi, January 2, 2020 Mosquito Repellent Clothing Market Company Profiles, Financial Perspective 2025 Rohan, BugsAway ExOfficio LLC, Insect Shield January 2, 2020 Financial Payment Cards Market Research Key Players, Industry Overview forecasts 2025 CPI Card Group, Gemalto, American Banknote Corporation January 2, 2020 2020 Report: CoalTar Pitch Market SWOT Analysis Top Companies Elkem, Himadri, The Garland Company, Gautam Zen International, More January 2, 2020 Global Pet Dog Cat Furniture Market: Reporting Evaluation Recent Industry Developments Acrila, Modenese Interiors, MiaCara January 2, 2020 Security Cameras Market 2020 Latest trends Advancement Top Key Players: Hikvision etc. January 2, 2020 Removable Wallpaper Market Brief Analysis Application, Growth 2025 Spoonflower, Graham Brown, Tempaper January 2, 2020 2020Market Reports Observer.Built WordPress Highlight Theme
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https://www.theintelligencer.com/news/article/Thousands-of-ocean-fishing-boats-could-be-using-15820116.php
2020-12-21T00:00:00
en
Thousands of ocean fishing boats could be using forced labor – we used AI and satellite data to find them - The Edwardsville Intelligencer
Thousands of ocean fishing boats could be using forced labor – we used AI and satellite data to find them - The Edwardsville Intelligencer Subscribe Home Archive Search Contact Us Staff Insider FAQ Privacy Notice Terms of Use Voices of Change: ‘We thought we were the true News Sports Election Results Insider Insider Insider FAQ No longer a walk through the park WHERE ARE THEY NOW?: EHS put Ohl on path to NBA INSIDER: The silent roar of the crowd Citizens have more to say on removal of Ninian Edwards statue Opinion I On Local Special Sections Obituaries Submit an obituary Classifieds Homes Contact Us Jobs e-Edition Subscriber Services MenuSections https://www.theintelligencer.com/news/article/Thousands-of-ocean-fishing-boats-could-be-using-15820116.php Thousands of ocean fishing boats could be using forced labor – we used AI and satellite data to find them Gavin McDonald, University of California Santa Barbara Published 3:03 pm CST, Monday, December 21, 2020 (The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Gavin McDonald, University of California Santa Barbara (THE CONVERSATION) Fishing on the high seas is a bit of a mystery, economically speaking. These areas of open ocean beyond the territorial jurisdiction of any nation are generally considered high-effort, low-payoff fishing grounds, yet fishers continue to work in them anyway. I am an environmental data scientist who leverages data and analytical techniques to answer critical questions about natural resource management. Back in 2018, my colleagues at the Environmental Market Solutions Lab found that high-seas fishing often appears to be an almost entirely unprofitable endeavor. This is true even when taking government subsidies into consideration. Yet fishers continue to harvest on the high seas in staggering numbers, suggesting that this activity is being financially supported beyond just government subsidies. Forced labor is a known problem in open ocean fishing, but the scale has been very hard to track historically. This mystery – why so many vessels are fishing the high seas if it isn’t profitable – got our team thinking that maybe many of these vessels are, in a sense, being subsidized through low labor costs. These costs could even be zero if the vessels were using forced labor. By combining our team’s data science expertise with satellite monitoring, input from human rights practitioners and machine learning algorithms, we developed a way to predict if a fishing vessel was at high risk of using forced labor. Our study shows that up to 100,000 individuals may have been victims of forced labor between 2012 and 2018 on these ships. Unique behavior from forced labor Forced labor is defined by the International Labour Organization as “all work or service which is exacted from any person under the menace of any penalty and for which the said person has not offered themself voluntarily.” Essentially, many of these workers may be enslaved, unable to stop work, trapped out on the high seas. Sadly, forced labor has been widely documented in the fishingworld, but the true extent of the problem has remained largely unknown. Our team wanted to say more about how forced labor is being used in fisheries, and the breakthrough came once we asked a key question that drove this project: What if vessels that forced labor behave in observable, fundamentally different ways from vessels that do not? To answer this, we first looked at 22 vessels known to have used forced labor. We got their historical satellite tracking data from Global Fishing Watch – a nonprofit organization that promotes ocean sustainability using near-real-time fishing data – and used it to find commonalities in how these vessels behaved. To further inform what to look for in the satellite monitoring data, we met with human rights groups, including Liberty Shared, Greenpeace and the Environmental Justice Foundation, to determine which of these vessel behaviors might indicate a potential risk of forced labor. This list of indicators included vessel behaviors like spending more time on the high seas, traveling farther from ports than other vessels and fishing more hours per day than other boats. For example, sometimes these suspicious vessels would be at sea for many months at a time. Now that we had a good idea of the “risky” behaviors that signal the potential use of forced labor, our team, with the help of Google data scientists, used machine learning techniques to look for similar behavioral patterns in thousands of other vessels. Shockingly widespread We examined 16,000 fishing vessels using data from 2012 to 2018. Between 14% and 26% of those boats showed suspicious behavior that suggests a high likelihood that they are exploiting forced labor. This means that in those six years, as many as 100,000 people may have been victims of forced labor. We don’t know whether those boats are still active or how many high-risk vessels there may be on the seas today. But according to Global Fishing Watch, as of 2018, there were nearly 13,000 vessels operating in industrial longliner, trawler and squid jigger fleets. Squid jiggers lure their catch to the surface at night using bright lights; longliner boats trail a line with baited hooks; and trawlers pull fishing nets through the water behind them. Squid jiggers had the highest percentage of vessels that exhibited behaviors that indicate the potential use of forced labor, followed closely by longliner fishing vessels and, to a lesser extent, trawlers. Another key finding from our study is that forced labor violations are likely occurring in all major ocean basins, both on the high seas and within national jurisdictions. High-risk vessels frequented ports across 79 countries in 2018, with the ports predominantly located in Africa, Asia and South America. Also notable for frequent visits by these suspicious vessels were Canada, the United States, New Zealand and several European countries. These ports represent both potential sources of exploited labor as well as transfer points for seafood caught using forced labor. As it stands now, our model is a proof of concept that still needs to be tested in the real world. By having the model assess vessels already caught using forced labor, we were able to show that the model was accurate 92% of the time when it flagged suspicious vessels. In the future, our team hopes to further validate and improve the model by gathering more information on known forced labor cases. Turning data into action Our team has built a predictive model that can identify vessels that are at high risk for engaging in forced labor. We believe our results could complement and inform existing efforts to combat human rights violations and promote supply chain transparency. Currently, our team is using individual vessel risk scores to determine forced labor risks for specific seafood products as a whole. As we get more substantial data and improve the accuracy of the model, we hope that it can eventually be used to liberate victims of forced labor in fisheries, improve work conditions and help prevent human rights abuses from occurring in the first place. We’re now working with Global Fishing Watch to identify partners across governments, enforcement agencies and labor groups that can use our results to more effectively target vessel inspections. These inspections offer opportunities to both catch offenders and provide more data to feed into the model, improving its accuracy. [Deep knowledge, daily. Sign up for The Conversation’s newsletter.] This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/thousands-of-ocean-fishing-boats-could-be-using-forced-labor-we-used-ai-and-satellite-data-to-find-them-152166. Insider Kraft Heinz keeps District 7 kids hydrated with 400,000... 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Thousands of ocean fishing boats could be using forced labor
Thousands ocean fishing boats forced labor AI satellite data The Edwardsville Intelligencer Home Archive Us Staff Insider FAQ Privacy Notice Terms Use Voices Change: We thought true News Sports Election Results Insider Insider Insider FAQ No longer walk park WHERE ARE THEY NOW?: EHS Ohl path NBA INSIDER: The silent roar crowd Citizens removal Ninian Edwards statue Opinion I On Local Special Sections Obituaries Submit obituary Classifieds Homes Us Jobs eEdition r Services MenuSections Thousands ocean fishing boats forced labor AI satellite data Gavin McDonald, University California Santa Barbara Published 3:03pm CST, Monday, December 21, 2020 The Conversation independent nonprofit source news, analysis commentary academic experts. Gavin McDonald, University California Santa Barbara THE CONVERSATION Fishing high seas bit mystery, economically speaking. These areas open ocean territorial jurisdiction nation generally considered higheffort, lowpayoff fishing grounds, fishers continue work anyway. I environmental data scientist leverages data analytical techniques answer critical questions natural resource management. Back 2018, colleagues Environmental Market Solutions Lab highseas fishing appears entirely unprofitable endeavor. This true taking government subsidies consideration. Yet fishers continue harvest high seas staggering numbers, suggesting activity financially supported government subsidies. Forced labor known problem open ocean fishing, scale hard track historically. This mystery vessels fishing high seas isnt profitable got team thinking maybe vessels are, sense, subsidized low labor costs. These costs zero vessels forced labor. By combining teams data science expertise satellite monitoring, input human rights practitioners machine learning algorithms, developed way predict fishing vessel high risk forced labor. Our study shows 100,000 individuals victims forced labor 2012 2018 ships. Unique behavior forced labor Forced labor defined International Labour Organization work service exacted person menace penalty said person offered themself voluntarily. Essentially, workers enslaved, unable stop work, trapped high seas. Sadly, forced labor widely documented fishingworld, true extent problem remained largely unknown. Our team wanted forced labor fisheries, breakthrough came asked key question drove project: What vessels forced labor behave observable, fundamentally different ways vessels not? To answer this, looked 22 vessels known forced labor. We got historical satellite tracking data Global Fishing Watch nonprofit organization promotes ocean sustainability nearrealtime fishing data commonalities vessels behaved. To inform look satellite monitoring data, met human rights groups, including Liberty Shared, Greenpeace Environmental Justice Foundation, determine vessel behaviors indicate potential risk forced labor. This list indicators included vessel behaviors like spending time high seas, traveling farther ports vessels fishing hours day boats. For example, suspicious vessels sea months time. Now good idea risky behaviors signal potential use forced labor, team, help Google data scientists, machine learning techniques look similar behavioral patterns thousands vessels. Shockingly widespread We examined 16,000 fishing vessels data 2012 2018. Between 14 26 boats showed suspicious behavior suggests high likelihood exploiting forced labor. This means years, 100,000 people victims forced labor. We dont know boats active highrisk vessels seas today. But according Global Fishing Watch, 2018, nearly 13,000 vessels operating industrial longliner, trawler squid jigger fleets. Squid jiggers lure catch surface night bright lights; longliner boats trail line baited hooks; trawlers pull fishing nets water them. Squid jiggers highest percentage vessels exhibited behaviors indicate potential use forced labor, followed closely longliner fishing vessels and, lesser extent, trawlers. Another key finding study forced labor violations likely occurring major ocean basins, high seas national jurisdictions. Highrisk vessels frequented ports 79 countries 2018, ports predominantly located Africa, Asia South America. Also notable frequent visits suspicious vessels Canada, United States, New Zealand European countries. These ports represent potential sources exploited labor transfer points seafood caught forced labor. As stands now, model proof concept needs tested real world. By model assess vessels caught forced labor, able model accurate 92 time flagged suspicious vessels. In future, team hopes validate improve model gathering information known forced labor cases. Turning data action Our team built predictive model identify vessels high risk engaging forced labor. We believe results complement inform existing efforts combat human rights violations promote supply chain transparency. Currently, team individual vessel risk scores determine forced labor risks specific seafood products whole. As substantial data improve accuracy model, hope eventually liberate victims forced labor fisheries, improve work conditions help prevent human rights abuses occurring place. Were working Global Fishing Watch identify partners governments, enforcement agencies labor groups use results effectively target vessel inspections. These inspections offer opportunities catch offenders provide data feed model, improving accuracy. [Deep knowledge, daily. Sign The Conversations newsletter.] This article republished The Conversation Creative Commons license. Read original article here: Insider Kraft Heinz keeps District 7 kids hydrated 400,000... 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https://www.metrowestdailynews.com/news/20200817/museum-of-science-launches-covid-19-ai-experience
2020-08-17T00:00:00
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Museum of Science launches COVID-19 AI experience - News - MetroWest Daily News, Framingham, MA - Framingham, MA
Museum of Science launches COVID-19 AI experience - News - MetroWest Daily News, Framingham, MA - Framingham, MA Sections NewsSportsEntertainmentLifeObituariesE-EditionCarsJobsHomesClassifiedsScanner Subscribe Site Archive Log in Weather Subscribe Now Museum of Science launches COVID-19 AI experience   The Associated Press Monday Aug 17, 2020 at 11:25 AM Aug 17, 2020 at 11:25 AM BOSTON — Boston's Museum of Science and a top Harvard University health expert have teamed up to make it easier for anyone anywhere in the world to get answers to their burning questions about the coronavirus pandemic.The interactive exhibit, featuring Dr. Ashish Jha and using StoryFile’s conversational video artificial intelligence technology, was unveiled Monday, the museum said in a statement.“ Ask a Virtual Expert: COVID Conversations with Dr. Jha " allows the curious both on-site and remotely to ask a digital image of Jha a multitude of questions about COVID-19. The answers are based on Jha's responses to more than 550 questions.The museum's goal is to make complex scientific topics accessible, President Tim Ritchie said in a statement. “The suite of COVID exhibit content we present in the museum and online — especially the opportunity to have a “personal” conversation with an AI version of one of the world’s leading public health scientists — does just that,” he said.Jha is a professor of global health at Harvard and director of the Harvard Global Health Institute.“Collaborating with the Museum of Science on this experience was, for me, an extraordinary opportunity to reach people — children and adults alike — with fact-based information about health policy, disease transmission, the importance of masks and social distancing and global efforts to combat COVID-19," he said in a statement. Never miss a story Choose the plan that's right for you. Digital access or digital and print delivery. Subscribe Now Sign up for daily e-mails CommunitiesSupport Local BusinessesWork for UsMilford Daily NewsAdsFind your Wicked Local townAshlandFraminghamShrewsburyHollistonHopkintonHudsonMarlboroughWestboroughPay Your Ad BillMore CommunitiesNatickNorthboroughSouthboroughSudburyWaylandWestonWicked LocalSite ServicesMy ProfileSubscribeMobile-Friendly Account ManagementE-EditionSubmit Your NewsFind Us on FacebookFollow us on TwitterAdvertise With UsContact usSee us on InstagramFind us on TumblrNewsletter Sign-upMarket PlaceClassifiedsFind Framingham JobsReal Estate © Gannett Co., Inc. 2020. All rights reserved. Original content available for non-commercial use under a Creative Commons license, except where noted. MetroWest Daily News, Framingham, MA ~ 1 Speen St., Framingham MA 01701 ~ Do Not Sell My Personal Information ~ Cookie Policy ~ Do Not Sell My Personal Information ~ Privacy Policy ~ Terms Of Service ~ Your California Privacy Rights / Privacy Policy Gannett | USA TODAY NETWORK Subscribe Now Site Archive HomeNewsCrimePolice ScannerLocalEducationBusinessRegionState newsNation & WorldShareableSportsHigh SchoolPros & CollegesSports ColumnistsN.E. Pro SportsEntertainmentCalendarArtsTheaterTravelBooksMoviesMusicLifestyleTime and MoneyFoodWeddings/EngagementsHealth & EnvironmentHome & GardenBoomersPetsFaithFamilyOpinionColumnsEditorialsLettersEditorial cartoonsNew England ConfabObituariesTownsAshlandFraminghamHollistonHopkintonHudsonMarlboroughNatickNorthboroughSouthboroughSudburyWaylandWestonMarijuanaMetroWest Wonders MoreWeatherContact usCalendarSubmit Your NewsBlogsBlogness on the Edge of TownPodcastsPhotosVideosReaders ChoiceBranded ContentContestsFrom Our AdvertisersSouthern Kitchen SubscriberMy ProfileE-EditionNewsletterSubscribeMobile-Friendly Account ManagementNewsletter Sign-up Market PlaceBusiness DirectoryFind-N-SaveClassifiedsLegalsCarsJobsHomesPay Your Ad BillDigital Marketing Services Feedback Ownership Terms of Use Privacy Policy Gannett Publications SUBSCRIBE TODAY Choose the plan that’s right for you. Digital access or digital and print delivery. Learn More
Museum of Science launches COVID-19 AI experience
Museum Science launches COVID19 AI experience News MetroWest Daily News, Framingham, MA Framingham, MA Sections NewsSportsEntertainmentLifeObituariesEEditionCarsJobsHomesClassifiedsScanner Site Archive Log Weather Now Museum Science launches COVID19 AI experience The Associated Press Monday Aug17,2020at11:25AM Aug17,2020at11:25AM BOSTON Bostons Museum Science Harvard University health expert teamed easier world answers burning questions coronavirus pandemic.The interactive exhibit, featuring Dr. Ashish Jha StoryFiles conversational video artificial intelligence technology, unveiled Monday, museum said statement. Ask Virtual Expert: COVID Conversations Dr. Jha allows curious onsite remotely ask digital image Jha multitude questions COVID19. The answers based Jhas responses 550 questions.The museums goal complex scientific topics accessible, President Tim Ritchie said statement. The suite COVID exhibit content present museum online especially opportunity personal conversation AI version worlds leading public health scientists that, said.Jha professor global health Harvard director Harvard Global Health Institute.Collaborating Museum Science experience was, me, extraordinary opportunity reach people children adults alike factbased information health policy, disease transmission, importance masks social distancing global efforts combat COVID19, said statement. Never miss story Choose plan thats right you. Digital access digital print delivery. Now Sign daily emails CommunitiesSupport Local BusinessesWork UsMilford Daily NewsAdsFind Wicked Local townAshlandFraminghamShrewsburyHollistonHopkintonHudsonMarlboroughWestboroughPay Your Ad BillMore CommunitiesNatickNorthboroughSouthboroughSudburyWaylandWestonWicked LocalSite ServicesMy ProfileMobileFriendly Account ManagementEEditionSubmit Your NewsFind Us FacebookFollow TwitterAdvertise With Us usSee InstagramFind TumblrNewsletter SignupMarket PlaceClassifiedsFind Framingham JobsReal Estate Gannett Co., . 2020. . Original content available noncommercial use Creative Commons license, noted. MetroWest Daily News, Framingham, MA 1 Speen St., Framingham MA 01701 Do Not Sell My Personal Information Policy Do Not Sell My Personal Information Terms Of Service Your California Privacy Rights Gannett USA TODAY NETWORK Now Site Archive HomeNewsCrimePolice ScannerLocalEducationBusinessRegionState newsNation WorldShareableSportsHigh SchoolPros CollegesSports ColumnistsN.E. Pro SportsEntertainmentCalendarArtsTheaterTravelBooksMoviesMusicLifestyleTime MoneyFoodWeddingsEngagementsHealth EnvironmentHome GardenBoomersPetsFaithFamilyOpinionColumnsEditorialsLettersEditorial cartoonsNew England ConfabObituariesTownsAshlandFraminghamHollistonHopkintonHudsonMarlboroughNatickNorthboroughSouthboroughSudburyWaylandWestonMarijuanaMetroWest Wonders MoreWeather usCalendarSubmit Your NewsBlogsBlogness Edge TownPodcastsPhotosVideosReaders ChoiceBranded ContentContestsFrom Our AdvertisersSouthern Kitchen rMy ProfileEEditionNewsletterMobileFriendly Account ManagementNewsletter Signup Market PlaceBusiness DirectoryFindNSaveClassifiedsLegalsCarsJobsHomesPay Your Ad BillDigital Marketing Services Feedback Ownership Terms Use Gannett Publications SUBSCRIBE TODAY Choose plan thats right you. Digital access digital print delivery. Learn More
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https://mysteriousuniverse.org/2020/07/the-strange-case-of-norman-the-psychopathic-ai/
2020-07-15T00:00:00
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The Strange Case of Norman, the Psychopathic AI | Mysterious Universe
The Strange Case of Norman, the Psychopathic AI | Mysterious Universe Plus+ App Store Podcasts Latest Categories Latest News Ancient Mysteries Bizarre Conspiracy Cryptozoology Entertainment Ghosts & Hauntings Modern Mysteries Natural World Plus+ Articles Plus+ Podcasts Podcasts Psychedelics Science & Technology Space & Astronomy Spirituality UFO Phenomenon Video Log In Search Bizarre Modern Mysteries Science & Technology Join Plus+ and get exclusive shows and extensions! Subscribe Today! LEARN MORE The Strange Case of Norman, the Psychopathic AI Brent Swancer July 15, 2020 Facebook Twitter Google+ A pervasive trope of science fiction is the idea that robots and AI will one day rise up to overthrow us, kill us, enslave us, or all of the above. As our technology has improved and artificial intelligence has evolved, this seems to be a reality that comes nearer and nearer to being feasible, and everyone from Elon Musk to physicist Stephen Hawking has warned us of the possible negative elements of trusting AI too deeply. If anyone is wondering if an AI uprising is actually possible, and if it can all run amok, then one thing you might find disturbing is the time we actually created a psychopathic, completely deranged AI program that depending on your opinion could either be a cute little experiment, or the beginning of the end. Artificial intelligence, or AI, is nothing new, and we have been working on perfecting and developing it for quite some time. Yet, there are many surprises that still manage to create debate and controversy, and one of these came with the unveiling of an AI created by scientists at the Massachusetts Institute of Technology Media Lab, which they affectionately call “Norman,” after the film character Norman Bates, of the film “Psycho.” Warning flag number one. It is a neural network trained to perform what is called “image captioning,” which is a deep learning method of generating a textual description of an image. These neural networks and algorithms are usually shown more than 1 million images to process, from a wide dataset, typically composed of mostly usual objects, people, animals, and mundane situations, and the complex method of deep learning, considered to be the cutting edge of AI development, allows the programs to make predictions and guess if those predictions are accurate. So far, it sounds fairly normal for fancy AI research, and in fact deep learning has been used on technology such as self-driving cars and many others, but the difference here is that the researchers in this case intentionally set out to see if they could create a psychopathic AI, which explains its name. Warning flag number two. While Norman is not the first AI to be programmed to do image captioning, in most cases the neural network is trained using every day, mundane images of things such as trees, dogs, birds and cats, and people doing regular stuff, yet in this case programmers took a rather different approach. They intentionally exposed the learning AI to the grisliest, most gruesome and macabre images they could find in the darkest corners of the Internet to see how it would affect the way Norman’s algorithm processed what it sees and how it behaves. The results were rather sobering, to say the least. To test how the AI viewed the world, Norman was shown various Rorschach inkblots; a traditional method of psychologists to gauge potential underlying mental issues. The test basically involves showing patients a series of random, ambiguous, and abstract inkblots, and asking the patient what they see in them, with their answers supposedly linked to their view of the world and reality, as well as their general state of mind. This can be done with AI programs trained in image captioning as well, and it was time to see how Norman measured up. Norman and another AI neural net trained in a more traditional way were both shown a series of these inkblots, and the “normal” AI gave typical answers like animals, trees, happy people, and what could be seen as generally cheerful or innocuous interpretations. However, Norman was very different, giving shocking, unremittingly macabre and bleak responses, to say the least. Whereas the normal AI would see something like “an airplane flying through the air,” “a close up of a vase with flowers,” “a small bird on a branch,” “a wedding cake,”or “a couple holding hands,” Norman was far more demented and death obsessed when making his calls. Seeing the exact same pictures, Norman conjured up impressively creative and disturbing images of blood, violence, and death. Typical responses included “man is shot and dumped from a car,” “man gets pulled into a dough machine,” (a dough machine?!) “a man is electrocuted while crossing the street,” “pregnant woman falls at construction site,” “man is shot dead in front of his screaming wife,” “a man getting killed by a speeding driver,” “man is murdered by machine gun in broad daylight,” and many other unsettling images. These amazingly gruesome and grotesque responses led the team of researchers to speculate that Norman was exhibiting something akin to a mental disorder, and based on its warped view of the world they only-half jokingly dubbed him the “world’s first psychopathic AI.” It shows how AI is rather spookily shaped and affected by the data it is given by its handlers, and by this definition can be very biased. Indeed, this was one of the purposes behind the whole experiment to begin with, to show that computer programs are not inherently biased, but rather altered through the data input methods, as well as the people feeding them that data. Without diverse and unbiased datasets, the AI being given this data is liable to become very prejudiced at best, and downright unhinged, psychotic, and totally deranged at worst. The team said of this: Norman only observed horrifying image captions, so it sees death in whatever image it looks at. So when people say that AI algorithms can be biased and unfair, the culprit is often not the algorithm itself, but the biased data that was fed to it. The same method can see very different things in an image, even ‘sick’ things, if trained on the wrong (or, the right!) data set. Data matters more than the algorithm. It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves. Norman represents a case study on the dangers of Artificial Intelligence gone wrong when biased data is used in machine learning algorithms. This has been seen in some other AI programs over the years as well. For instance, there was the AI called “Tay,” developed by Microsoft in 2016 as a Twitter chatbot, which was meant to be a playful companion, but which quickly learned to be an incorrigible racist jerk. Tay began to routinely make tasteless and offensive racist slurs and comments, express hatred towards Jewish people, and make holocaust denial rants, to the point that it was forced to be shut down, causing a public relations nightmare in the process. The program itself was not to blame, but it was taught to pick up and interpret what was fed to it, and that is a depressing statement on the state of Twitter, as it was racist trolls who intentionally corrupted it and taught it to be this way. Dr. Joanna Bryson, from the University of Bath’s department of computer science, has said of this disturbing trend: When we train machines by choosing our culture, we necessarily transfer our own biases. There is no mathematical way to create fairness. We are teaching algorithms in the same way as we teach human beings so there is a risk that we are not teaching everything right. Bias is not a bad word in machine learning. It just means that the machine is picking up regularities. Basically, if robots and AI turn bad, it’s because people made them that way, whether intentionally or otherwise. The good news is, the creators of Norman believe he is not irredeemable, and think that by being exposed to a wider data set and more normal interpretations of inkblots he will come back from the dark side and be normal. We guess? No one really knows, and it is a pretty unsettling and sobering view of the pitfalls of creating learning machines and advanced AI. It is still unclear if robots will ever rise up to overthrow us and become out overlords, but let’s just hope that if they ever do Norman is not in charge. Tags artificial intelligence Bizarre computer modern mysteries technology unexplained phenomena unsolved mystery Brent Swancer is an author and crypto expert living in Japan. Biology, nature, and cryptozoology still remain Brent Swancer’s first intellectual loves. He's written articles for MU and Daily Grail and has been a guest on Coast to Coast AM and Binnal of America. You can follow Brent on and Join Plus+ for $9 a month to access bonus podcasts & premium content! Learn More Recent Articles Mysterious 10,000-Year-Old Neolithic Figurines May Be Funeral Mementos of a Creepy Cult The Dangers of Flying Monsters: “Psychic Backlash” The Strange Case of Norman, the Psychopathic AI 22.03 – MU Plus+ Podcast – Choronzon vs Crowley Related Articles Not Quite Bigfoot: The Strange Tale of the Tuttle Bottoms Monster Brent Swancer October 19, 2019 Mysterious Giant Celtic Cross Discovered In Irish Forest Brett Tingley October 27, 2016 Congressman Demands NASA Evidence of Martian Civilizations Paul Seaburn July 20, 2017 Hiker Lost on Taiwan Mountain Claims Ghosts Rescued Him Paul Seaburn November 26, 2019 Join Plus+ for $9 a month to access bonus podcasts & premium content! 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The Strange Case of Norman, the Psychopathic AI
The Strange Case Norman, Psychopathic AI Mysterious Universe Plus App Store Podcasts Latest Categories Latest News Ancient Mysteries Bizarre Conspiracy Cryptozoology Entertainment Ghosts Hauntings Modern Mysteries Natural World Plus Articles Plus Podcasts Podcasts Psychedelics Science Technology Space Astronomy Spirituality UFO Phenomenon Video Log In Bizarre Modern Mysteries Science Technology Join Plus exclusive shows extensions Today LEARN MORE The Strange Case Norman, Psychopathic AI Brent Swancer July 15, 2020 Facebook Twitter Google A pervasive trope science fiction idea robots AI day rise overthrow us, kill us, enslave us, above. As technology improved artificial intelligence evolved, reality comes nearer nearer feasible, Elon Musk physicist Stephen Hawking warned possible negative elements trusting AI deeply. If wondering AI uprising actually possible, run amok, thing disturbing time actually created psychopathic, completely deranged AI program depending opinion cute little experiment, beginning end. Artificial intelligence, AI, new, working perfecting developing time. Yet, surprises manage create debate controversy, came unveiling AI created scientists Massachusetts Institute Technology Media Lab, affectionately Norman, film character Norman Bates, film Psycho. Warning flag number one. It neural network trained perform called image captioning, deep learning method generating textual description image. These neural networks algorithms usually shown 1 million images process, wide dataset, typically composed usual objects, people, animals, mundane situations, complex method deep learning, considered cutting edge AI development, allows programs predictions guess predictions accurate. So far, sounds fairly normal fancy AI research, fact deep learning technology selfdriving cars others, difference researchers case intentionally set create psychopathic AI, explains name. Warning flag number two. While Norman AI programmed image captioning, cases neural network trained day, mundane images things trees, dogs, birds cats, people regular stuff, case programmers took different approach. They intentionally exposed learning AI grisliest, gruesome macabre images darkest corners Internet affect way Normans algorithm processed sees behaves. The results sobering, least. To test AI viewed world, Norman shown Rorschach inkblots; traditional method psychologists gauge potential underlying mental issues. The test basically involves showing patients series random, ambiguous, abstract inkblots, asking patient them, answers supposedly linked view world reality, general state mind. This AI programs trained image captioning well, time Norman measured up. Norman AI neural net trained traditional way shown series inkblots, normal AI gave typical answers like animals, trees, happy people, seen generally cheerful innocuous interpretations. However, Norman different, giving shocking, unremittingly macabre bleak responses, least. Whereas normal AI like airplane flying air, close vase flowers, small bird branch, wedding cake,or couple holding hands, Norman far demented death obsessed making calls. Seeing exact pictures, Norman conjured impressively creative disturbing images blood, violence, death. Typical responses included man shot dumped car, man gets pulled dough machine, dough machine? man electrocuted crossing street, pregnant woman falls construction site, man shot dead screaming wife, man getting killed speeding driver, man murdered machine gun broad daylight, unsettling images. These amazingly gruesome grotesque responses led team researchers speculate Norman exhibiting akin mental disorder, based warped view world onlyhalf jokingly dubbed worlds psychopathic AI. It shows AI spookily shaped affected data given handlers, definition biased. Indeed, purposes experiment begin with, programs inherently biased, altered data input methods, people feeding data. Without diverse unbiased datasets, AI given data liable prejudiced best, downright unhinged, psychotic, totally deranged worst. The team said this: Norman observed horrifying image captions, sees death image looks at. So people AI algorithms biased unfair, culprit algorithm itself, biased data fed it. The method different things image, sick things, trained wrong or, right data set. Data matters algorithm. It highlights idea data use train AI reflected way AI perceives world behaves. Norman represents case study dangers Artificial Intelligence gone wrong biased data machine learning algorithms. This seen AI programs years well. For instance, AI called Tay, developed Microsoft 2016 Twitter chatbot, meant playful companion, quickly learned incorrigible racist jerk. Tay began routinely tasteless offensive racist slurs comments, express hatred Jewish people, holocaust denial rants, point forced shut down, causing public relations nightmare process. The program blame, taught pick interpret fed it, depressing statement state Twitter, racist trolls intentionally corrupted taught way. Dr. Joanna Bryson, University Baths department science, said disturbing trend: When train machines choosing culture, necessarily transfer biases. There mathematical way create fairness. We teaching algorithms way teach human beings risk teaching right. Bias bad word machine learning. It means machine picking regularities. Basically, robots AI turn bad, people way, intentionally otherwise. The good news is, creators Norman believe irredeemable, think exposed wider data set normal interpretations inkblots come dark normal. We guess? No knows, pretty unsettling sobering view pitfalls creating learning machines advanced AI. It unclear robots rise overthrow overlords, lets hope Norman charge. Tags artificial intelligence Bizarre modern mysteries technology unexplained phenomena unsolved mystery Brent Swancer author crypto expert living Japan. Biology, nature, cryptozoology remain Brent Swancers intellectual loves. Hes written articles MU Daily Grail guest Coast Coast AM Binnal America. You follow Brent Join Plus 9 month access bonus podcasts premium content Learn More Recent Articles Mysterious 10,000YearOld Neolithic Figurines May Be Funeral Mementos Creepy Cult The Dangers Flying Monsters: Psychic Backlash The Strange Case Norman, Psychopathic AI 22.03 MU Plus Podcast Choronzon vs Crowley Related Articles Not Quite Bigfoot: The Strange Tale Tuttle Bottoms Monster Brent Swancer October 19, 2019 Mysterious Giant Celtic Cross Discovered In Irish Forest Brett Tingley October 27, 2016 Congressman Demands NASA Evidence Martian Civilizations Paul Seaburn July 20, 2017 Hiker Lost Taiwan Mountain Claims Ghosts Rescued Him Paul Seaburn November 26, 2019 Join Plus 9 month access bonus podcasts premium content Learn More Learn More Join MU PLUS Us About FAQ Advertisers Terms Conditions MU App Version Notes Call voicemail leave message Call voicemail Voicemail 1 530 918 4070 Skype MysteriousUniv Buy Podcast Back Catalogue The Mega Value Pack Get MegaPack collection great price. 99.00Buy Now Mysterious Universe. 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"flying", "monsters", "psychic", "backlash", "strange", "case", "norman", "psychopathic", "ai", "mu", "plus", "podcast", "choronzon", "vs", "crowley", "related", "articles", "bigfoot", "strange", "tale", "tuttle", "bottoms", "monster", "brent", "swancer", "october", "mysterious", "giant", "celtic", "cross", "discovered", "irish", "forest", "brett", "tingley", "october", "congressman", "demands", "nasa", "evidence", "martian", "civilizations", "paul", "seaburn", "july", "hiker", "lost", "taiwan", "mountain", "claims", "ghosts", "rescued", "paul", "seaburn", "november", "join", "plus", "month", "access", "bonus", "podcasts", "premium", "content", "learn", "learn", "join", "mu", "plus", "faq", "advertisers", "terms", "conditions", "mu", "app", "version", "notes", "voicemail", "leave", "message", "voicemail", "voicemail", "skype", "mysteriousuniv", "buy", "podcast", "catalogue", "mega", "value", "pack", "megapack", "collection", "great", "price", "buy", "mysterious", "universe", "mysterious", "universe", "property", "th", "kind", "pty", "main", "menu", "log", "join", "plus", "mu", "app", "mu", "store", "podcasts", "latest", "categories", "categories", "ancient", "mysteries", "bizarre", "conspiracy", "cryptozoology", "entertainment", "ghosts", "hauntings", "modern", "mysteries", "natural", "world", "news", "plus", "articles", "plus", "podcasts", "podcasts", "psychedelics", "science", "technology", "space", "astronomy", "spirituality", "ufo", "phenomenon", "video", "faq", "terms", "conditions", "advertisers" ]
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LG To Unveil 2020 Real 8K TV Lineup Featuring Next-Gen AI Processor At CES 2020
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To Unveil 2020 Real 8K TV Lineup Featuring Next-Gen AI Processor At CES 2020 Advanced Alpha 9 Gen 3 AI Processor Brings Optimized Picture and Sound to Company's Range of Astonishing 8K Displays News provided by LG Electronics USA Jan 02, 2020, 20:00 ET Share this article ENGLEWOOD CLIFFS, N.J., Jan. 2, 2020 /PRNewswire/ -- LG Electronics (LG), the company delivering the Real 8K experience, will introduce its expanded 8K TV lineup next week at CES® 2020 – eight TVs with new 77- and 65-inch class models joining LG's existing 88- and 75-inch screen sizes. LG’s latest 8K TVs also feature upgraded performance thanks to the new α (Alpha) 9 Gen 3 AI Processor. By leveraging deep learning technology, the 2020 lineup delivers optimized picture and sound quality for all types of content through AI-based 8K upscaling. The diverse 2020 lineup includes premium 88- and 77-inch class LG SIGNATURE OLED 8K TVs (models 88/77 OLED ZX) and advanced LG NanoCell TVs (models 75/65 Nano99, 75/65 Nano97, 75/65 Nano95), with every model exceeding the industry’s official new 8K Ultra HD definition set by the Consumer Technology Association (CTA). The diverse 2020 lineup includes premium 88- and 77-inch class LG SIGNATURE OLED 8K TVs (models 88/77 OLED ZX) and advanced LG NanoCell TVs (models 75/65 Nano99, 75/65 Nano97, 75/65 Nano95), with every model exceeding the industry's official new 8K Ultra HD definition set by the Consumer Technology Association (CTA) with trusted independent labs such as TÜV Rheinland validating that LG SIGNATURE OLED 8K and LG 8K NanoCell TV exceed this definition.* Not only do LG 8K TVs deliver Real 8K, they are also future-proofed to provide customers peace of mind with multiple ways to enjoy the Real 8K experience. The new models offer the capability to play native 8K content thanks to support of the widest selection of 8K content sources from HDMI and USB digital inputs, including codecs such as HEVC, VP9 and AV1, the latter being backed by major streaming providers including YouTube. LG's 8K TVs will support 8K content streaming at a rapid 60FPS and are certified to deliver 8K 60P over HDMI. LG's latest 8K TVs also feature upgraded performance thanks to the new α (Alpha) 9 Gen 3 AI Processor. By leveraging deep learning technology, the 2020 lineup delivers optimized picture and sound quality for all types of content through AI-based 8K upscaling. Based on an intelligent deep learning network, AI 8K Upscaling delivers vivid and accurate 8K images by analyzing the content and applying Quad Step Noise Reduction and frequency-based Sharpness Enhancer to increase lower resolution content to near 8K perfection. The α9 Gen 3 processor's AI Picture Pro is capable of recognizing faces and text on screen, fine-tuning and sharpening each to produce more natural skin tones, well-defined facial features and clearer, more readable characters. In addition, its Auto Genre Selection recognizes the type of content being watched and automatically applies the ideal picture settings, guaranteeing the best image quality among four genres: movie, sports, standard and animation.LG's AI Sound Pro analyzes and classifies the audio of content among five categories – music, movies, sports, drama or news – for clearer voices and richer, more textured background sound. Spoken words are isolated and their volume increased, making it distinctively easier for viewers to understand while background noises are identified and the scene up-mixed to virtual 5.1 surround for a heightened level of viewer immersion.On top of the exceptional viewing experience, LG 8K TVs offer a new level of convenience made possible by AI technology. Users can monitor and control compatible IoT devices directly from the TV's Home Dashboard, while Hands-Free Voice Control allows viewers to easily control multiple connected devices with just their voice, even from across the room. Available in 144 countries, ThinQ voice recognition is built into every LG 8K TV. And with LG's popular smart TV platform, webOS, the new TVs support Apple AirPlay 2 and HomeKit as well as both Google Assistant and Amazon Alexa, with Amazon Alexa Premium Far-Field Voice compatibility in the future.LG's comprehensive, 8K lineup will be on show during CES 2020 from January 7-10 at the company's booth (#11100, Central Hall, Las Vegas Convention Center). Follow all of LG's CES activities and announcements by visiting https://ces2020.lgusnewsroom.com/.* Test results for LG's new 77-inch LG SIGNATURE OLED 8K and 65-inch NanoCell 8K (Nano97 series) TVs confirmed by TÜV Rheinland as surpassing minimum contrast modulation (CM) threshold requirements for Real 8K.About LG Electronics USALG Electronics USA, Inc., based in Englewood Cliffs, N.J., is the North American subsidiary of LG Electronics, Inc., a $54 billion global innovator in technology and manufacturing. In the United States, LG sells a wide range of innovative home appliances, home entertainment products, mobile phones, commercial displays, air conditioning systems, solar energy solutions and vehicle components. The "Life's Good" marketing theme encompasses how LG is dedicated to people's happiness by exceeding expectations today and tomorrow. LG is a 2019 ENERGY STAR® Partner of the Year-Sustained Excellence. www.LG.com.SOURCE LG Electronics USA Related Links https://www.lg.com × Modal title You just read: LG To Unveil 2020 Real 8K TV Lineup Featuring Next-Gen AI Processor At CES 2020 News provided by LG Electronics USA Jan 02, 2020, 20:00 ET Share this article Share this article Contact PR Newswire 888-776-0942 from 8 AM - 10 PM ET Contact Us General Inquiries Request a Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud® For Marketers For Public Relations For IR & Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become a Publishing Partner Become a Channel Partner Careers Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet℠ My Services All News Releases Online Member Center ProfNet℠ 888-776-0942 from 8 AM - 10 PM ET Terms of Use Privacy Policy Information Security Policy Site Map RSS Cookie Settings Copyright © 2020 PR Newswire Association LLC. 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LG To Unveil 2020 Real 8K TV Lineup Featuring Next-Gen AI Processor At CES 2020
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Approval Health Care Hospitals Health Insurance Infection Control Medical Equipment Medical Pharmaceuticals Mental Health Pharmaceuticals Supplementary Medicine Sports All Sports General Sports Outdoors, Camping Hiking Sporting Events Sports Equipment Accessories Sports Overview Travel All Travel Amusement Parks Tourist Attractions Gambling Casinos Hotels Resorts Leisure Tourism Travel Overview Outdoors, Camping Hiking Passenger Aviation Travel Industry Policy Public Interest Policy Public Interest All Policy Public Interest Advocacy Group Opinion Animal Welfare Corporate Social Responsibility Domestic Policy Policy Public Interest Overview Economic News, Trends, Analysis Education Environmental European Government FDA Approval Federal State Legislation Federal Executive Branch Agency Foreign Policy International Affairs Homeland Security Labor Union Legal Issues Natural Disasters Not For Profit Patent Law Public Safety Trade Policy U.S. State Policy People Culture People Culture All People Culture Aboriginal, First Nations Native American African American People Culture Overview Asian American Children Hispanic Lesbian, Gay Bisexual People Disabilities Religion Senior Citizens Veterans Women InLanguage News espaol portugus esko Danmark Deutschland Espaa France Italia Nederland Norge Polska Portugal Slovensko Suomi Sverige LG To Unveil 2020 Real 8K TV Lineup Featuring NextGen AI Processor At CES 2020 Advanced Alpha 9 Gen 3 AI Processor Brings Optimized Picture Sound Companys Range Astonishing 8K Displays News provided LG Electronics USA Jan 02, 2020, 20:00 ET Share article ENGLEWOOD CLIFFS, N.J., Jan. 2, 2020 PRNewswire LG Electronics LG, company delivering Real 8K experience, introduce expanded 8K TV lineup week CES2020 TVs new 77 65inch class models joining LGs existing 88 75inch screen sizes. LGs latest 8K TVs feature upgraded performance thanks new Alpha 9 Gen 3 AI Processor. By leveraging deep learning technology, 2020 lineup delivers optimized picture sound quality types content AIbased 8K upscaling. The diverse 2020 lineup includes premium 88 77inch class LG SIGNATURE OLED 8K TVs models 8877 OLED ZX advanced LG NanoCell TVs models 7565 Nano99, 7565 Nano97, 7565 Nano95, model exceeding industrys official new 8K Ultra HD definition set Consumer Technology Association CTA. The diverse 2020 lineup includes premium 88 77inch class LG SIGNATURE OLED 8K TVs models 8877 OLED ZX advanced LG NanoCell TVs models 7565 Nano99, 7565 Nano97, 7565 Nano95, model exceeding industrys official new 8K Ultra HD definition set Consumer Technology Association CTA trusted independent labs TV Rheinland validating LG SIGNATURE OLED 8K LG 8K NanoCell TV exceed definition. Not LG 8K TVs deliver Real 8K, futureproofed provide customers peace mind multiple ways enjoy Real 8K experience. The new models offer capability play native 8K content thanks support widest selection 8K content sources HDMI USB digital inputs, including codecs HEVC, VP9 AV1, backed major streaming providers including YouTube. LGs 8K TVs support 8K content streaming rapid 60FPS certified deliver 8K 60P HDMI. LGs latest 8K TVs feature upgraded performance thanks new Alpha 9 Gen 3 AI Processor. By leveraging deep learning technology, 2020 lineup delivers optimized picture sound quality types content AIbased 8K upscaling. Based intelligent deep learning network, AI 8K Upscaling delivers vivid accurate 8K images analyzing content applying Quad Step Noise Reduction frequencybased Sharpness Enhancer increase lower resolution content near 8K perfection. The 9 Gen 3 processors AI Picture Pro capable recognizing faces text screen, finetuning sharpening produce natural skin tones, welldefined facial features clearer, readable characters. In addition, Auto Genre Selection recognizes type content watched automatically applies ideal picture settings, guaranteeing best image quality genres: movie, sports, standard animation.LGs AI Sound Pro analyzes classifies audio content categories music, movies, sports, drama news clearer voices richer, textured background sound. Spoken words isolated volume increased, making distinctively easier viewers understand background noises identified scene upmixed virtual 5.1 surround heightened level viewer immersion.On exceptional viewing experience, LG 8K TVs offer new level convenience possible AI technology. Users monitor control compatible IoT devices directly TVs Home Dashboard, HandsFree Voice Control allows viewers easily control multiple connected devices voice, room. Available 144 countries, ThinQ voice recognition built LG 8K TV. And LGs popular smart TV platform, webOS, new TVs support Apple AirPlay 2 HomeKit Google Assistant Amazon Alexa, Amazon Alexa Premium FarField Voice compatibility future.LGs comprehensive, 8K lineup CES 2020 January 710 companys booth 11100, Central Hall, Las Vegas Convention Center. Follow LGs CES activities announcements visiting Test results LGs new 77inch LG SIGNATURE OLED 8K 65inch NanoCell 8K Nano97 series TVs confirmed TV Rheinland surpassing minimum contrast modulation CM threshold requirements Real 8K.About LG ElectronicsUSALG ElectronicsUSA, ., based inEnglewood Cliffs, N.J., North American subsidiary LG Electronics, ., a54 billionglobal innovator technology manufacturing. Inthe United States, LG sells wide range innovative home appliances, home entertainment products, mobile phones, commercial displays, air conditioning systems, solar energy solutions vehicle components. The Lifes Good marketing theme encompasses LG dedicated peoples happiness exceeding expectations today tomorrow. LG 2019 ENERGY STAR Partner YearSustained Excellence. LG Electronics USA Related Links Modal title You read: LG To Unveil 2020 Real 8K TV Lineup Featuring NextGen AI Processor At CES 2020 News provided LG Electronics USA Jan 02, 2020, 20:00 ET Share article Share article PR Newswire 8887760942 8 AM 10 PM ET Us General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud For Marketers For Public Relations For IR Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become Publishing Partner Become Channel Partner Careers Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet My Services All News Releases Online Member Center ProfNet 8887760942 8 AM 10 PM ET Terms Use Information Security Policy Site Map RSS Settings 2020 PR Newswire Association LLC. . 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https://www.cieonline.co.uk/embedded-iot-connectivity-in-german-bionics-robotic-exoskeleton-enables-machine-learning-and-data-analytics/
2020-03-05T00:00:00
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Embedded IoT connectivity in German Bionic´s robotic exoskeleton enables machine learning and data analytics – CIE
Embedded IoT connectivity in German Bionic´s robotic exoskeleton enables machine learning and data analytics – CIE About Cookies Privacy Policy Terms & Conditions Registration Media Info Privacy Policy Contact Us Client Login CIE Components in Electronics HomePage News Latest Developments Interviews & Comments Profiles Calendar Clock Generators and Buffers from Diodes Incorporated Offer Forward Compatibility for Server, IPC, Networking, and Datacenter Applications 4 hours ago Panthronics disrupts NFC wireless charging market with launch of new chip4 hours ago600W Class I and Class II 3”x 5” medical and industrial power supplies5 hours agoNew AMD Processors Drive High-Performance Computing for Embedded Industry6 hours ago Features Aerospace, Military & Defence Automotive Displays Distribution Embedded Enclosures ICs & Semiconductors Industrial Interconnection Internet of Things LED Technology Optoelectronics Power Test & Measurement Thermal Management Wireless & Communications Panthronics disrupts NFC wireless charging market with launch of new chip 4 hours ago 600W Class I and Class II 3”x 5” medical and industrial power supplies5 hours agoNew AMD Processors Drive High-Performance Computing for Embedded Industry6 hours agoFULLY INTEGRATED PROXIMITY PROBES FOR IMPROVED RELIABILITY8 hours ago Distributor Directory Digital Issues 2020 February December/January 2019 November October September July/August June May April March February December/January 2018 November October September July/August June May April March February December / January 2017 November October September July / August June May April March February December / January 2016 November October September July / August June May April March February December / January Embedded IoT connectivity in German Bionic´s robotic exoskeleton enables machine learning and data analytics 1 day ago Internet of Things, News 181 Views BICS, a global communications enabler, has today announced that it is providing global IoT connectivity and asset management for a pioneering exoskeleton developed by German Bionic. The Cray X is the first connected asset from the Robot-as-a-Service (RaaS) provider and marks the first instance of a European manufacturer developing, producing and deploying smart exoskeletons for use in industrial production. Designed to support and enhance the wearer’s movements, German Bionic’s Cray X reduces the risk of accidents and excessive strain for employees in sectors that involve repetitive but unpredictable heavy lifting. With the World Health Organisation citing musculoskeletal conditions as the leading contributor to disability worldwide, the exoskeleton is expected to have significant health benefits for thousands of industrial workers around the globe. BICS’ SIM for Things® cellular connectivity solution embeds IoT connectivity within the Cray X, enabling data to be transmitted from sensors in the body-worn suit to smart factory systems and software. Utilising machine learning, the exoskeleton learns the movements of its user and adjusts to suit each individual’s needs. Through integration with existing back-end IT, smart factory and cloud-based management systems, businesses can easily analyse employees’ lifting behaviour and identify where improvements should be made. SIM for Things® also enables German Bionic to benefit from secure reliable connectivity across 700 networks in more than 200 countries, making it possible for the company to ship its exoskeleton around the world. The exoskeleton has already been successfully implemented by major manufacturing and logistics firms. “The IoT is a massively diverse ecosystem, and our latest partnership with German Bionic illustrates the breadth and scope of businesses BICS is working with, as well as the dynamic and adaptable nature of our SIM for Things solution,” commented Mikaël Schachne, CMO and VP Mobility & IoT Business at BICS. “Secure, reliable, global connectivity underpins the IoT, making collaborations between international communications enablers like BICS, and innovative IoT players, OEMs and device manufacturers, crucial. Our SIM for Things can embed connectivity in almost any asset or device, equipping fleets of ‘things’ with intelligence as well as those managing or wearing them, no matter where in the world they are.” “Robots needn’t replace humans – instead, we’ve shown how technology can mimic and amplify tasks which have traditionally been triggers for injury and chronic pain,” commented Norma Hoeft, Head of IoT at German Bionic. “Simple management of the exoskeleton, as well as integration with legacy IT, will help improve health and safety and drive productivity for a growing number of global IoT firms. With locations in Germany and Tokyo, as well as customers across the world, German Bionic is a global company that required a global partner to deliver global connectivity – through our collaboration with BICS, the Cray X can be deployed, enhanced, and managed by a growing number of customers across the world.” Share Facebook Twitter Google + Stumbleupon LinkedIn Pinterest Related Articles Clock Generators and Buffers from Diodes Incorporated Offer Forward Compatibility for Server, IPC, Networking, and Datacenter Applications 4 hours ago Panthronics disrupts NFC wireless charging market with launch of new chip 4 hours ago 600W Class I and Class II 3”x 5” medical and industrial power supplies 5 hours ago Check Also New AMD Processors Drive High-Performance Computing for Embedded Industry AMD has announced the expansion of the AMD Ryzen Embedded ecosystem with two new AMD … Upcoming Events There are no upcoming events. 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Embedded IoT connectivity in German Bionic´s robotic exoskeleton enables machine learning and data analytics
Embedded IoT connectivity German Bionics robotic exoskeleton enables machine learning data analytics CIE About Terms Conditions Registration Media Info Us Client CIE Components Electronics HomePage News Latest Developments Interviews Comments Profiles Calendar Clock Generators Buffers Diodes orporated Offer Forward Compatibility Server, IPC, Networking, Datacenter Applications 4 hours ago Panthronics disrupts NFC wireless charging market launch new chip4 hours ago600W Class I Class II 3x 5 medical industrial power supplies5 hours agoNew AMD Processors Drive HighPerformance Computing Embedded Industry6 hours ago Features Aerospace, Military Defence Automotive Displays Distribution Embedded Enclosures ICs Semiconductors Industrial Interconnection Internet Things LED Technology Optoelectronics Power Test Measurement Thermal Management Wireless Communications Panthronics disrupts NFC wireless charging market launch new chip 4 hours ago 600W Class I Class II 3x 5 medical industrial power supplies5 hours agoNew AMD Processors Drive HighPerformance Computing Embedded Industry6 hours agoFULLY INTEGRATED PROXIMITY PROBES FOR IMPROVED RELIABILITY8 hours ago Distributor Directory Digital Issues 2020 February DecemberJanuary 2019 November October September JulyAugust June May April March February DecemberJanuary 2018 November October September JulyAugust June May April March February December January 2017 November October September July August June May April March February December January 2016 November October September July August June May April March February December January Embedded IoT connectivity German Bionics robotic exoskeleton enables machine learning data analytics 1 day ago Internet Things, News 181 Views BICS, global communications enabler, today announced providing global IoT connectivity asset management pioneering exoskeleton developed German Bionic. The Cray X connected asset RobotasaService RaaS provider marks instance European manufacturer developing, producing deploying smart exoskeletons use industrial production. Designed support enhance wearers movements, German Bionics Cray X reduces risk accidents excessive strain employees sectors involve repetitive unpredictable heavy lifting. With World Health Organisation citing musculoskeletal conditions leading contributor disability worldwide, exoskeleton expected significant health benefits thousands industrial workers globe. BICS SIM Things cellular connectivity solution embeds IoT connectivity Cray X, enabling data transmitted sensors bodyworn suit smart factory systems software. Utilising machine learning, exoskeleton learns movements user adjusts suit individuals needs. Through integration existing backend IT, smart factory cloudbased management systems, businesses easily analyse employees lifting behaviour identify improvements made. SIM Things enables German Bionic benefit secure reliable connectivity 700 networks 200 countries, making possible company ship exoskeleton world. The exoskeleton successfully implemented major manufacturing logistics firms. The IoT massively diverse ecosystem, latest partnership German Bionic illustrates breadth scope businesses BICS working with, dynamic adaptable nature SIM Things solution, commented Mikal Schachne, CMO VP Mobility IoT Business BICS. Secure, reliable, global connectivity underpins IoT, making collaborations international communications enablers like BICS, innovative IoT players, OEMs device manufacturers, crucial. Our SIM Things embed connectivity asset device, equipping fleets things intelligence managing wearing them, matter world are. Robots neednt replace humans instead, weve shown technology mimic amplify tasks traditionally triggers injury chronic pain, commented Norma Hoeft, Head IoT German Bionic. Simple management exoskeleton, integration legacy IT, help improve health safety drive productivity growing number global IoT firms. With locations Germany Tokyo, customers world, German Bionic global company required global partner deliver global connectivity collaboration BICS, Cray X deployed, enhanced, managed growing number customers world. Share Facebook Twitter Google Stumbleupon LinkedIn Pinterest Related Articles Clock Generators Buffers Diodes orporated Offer Forward Compatibility Server, IPC, Networking, Datacenter Applications 4 hours ago Panthronics disrupts NFC wireless charging market launch new chip 4 hours ago 600W Class I Class II 3x 5 medical industrial power supplies 5 hours ago Check Also New AMD Processors Drive HighPerformance Computing Embedded Industry AMD announced expansion AMD Ryzen Embedded ecosystem new AMD Upcoming Events There upcoming events. View Calendar Tweets CIE_Magazine 2020, Components Electronics. 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http://usweekly.com/news/17/41971/Artificial-intelligence-can-help-some-businesses-but-may-not-work-for-others.html
2020-03-31T00:00:00
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Artificial intelligence can help some businesses but may not work for others - USweekly
Artificial intelligence can help some businesses but may not work for others - USweekly Tuesday, 31 March 2020 Send search form Todays news World U.S. National Politics Business Technology Sports Entertainment Beauty & Health Living & Travel Science Weather Odd news Shopping Artificial intelligence can help some businesses but may not work for others Added: 31.03.2020 18:00 | 9 views | 0 comments Source: www.financialexpress.comThe temptation for businesses to use artificial intelligence and other technology to improve performance, drive down labor costs, and better the bottom line is understandable. But before pursuing automation that could put the jobs of human employees at risk, it is important that business owners take careful stock of their operations.More in www.sciencedaily.com » Tags: Stocks, Employees, Jobs, Technology Nickname: Enter image code:  Comments: Tags 4K  Audi  Best Buy  Brazil  Breast cancer  Champions League  Cher  Climate change  Congress  Dell  DNA  Dodge  eBay  EU  FBI  FIA  Football  Gamers  GM  Goa  Gold  HP  iOS  ISIS  Japan  Kimye  Mac  Manchester City  Movies  NATO  NBA  NFL  North Korea  Oil  Opposition  PC  Premier League  Prison  PS4  Rita Ora  Sex  Social media  Star Wars  Students  Uber  UK  USA  Windows 10  Xbox One  Yahoo  advertising Copyright © 2008 - 2020 USweekly  - all rights reserved Contact us
Artificial intelligence can help some businesses but may not work for others
Artificial intelligence help businesses work USweekly Tuesday, 31 March 2020 Send search form Todays news World U.S. National Politics Business Technology Sports Entertainment Beauty Health Living Travel Science Weather Odd news Shopping Artificial intelligence help businesses work Added: 31.03.2020 18:00 9 views 0 comments Source: temptation businesses use artificial intelligence technology improve performance, drive labor costs, better line understandable. But pursuing automation jobs human employees risk, important business owners careful stock operations.More Tags: Stocks, Employees, Jobs, Technology Nickname: Enter image code: Comments: Tags 4K Audi Best Buy Brazil Breast cancer Champions League Cher Climate change Congress Dell DNA Dodge eBay EU FBI FIA Football Gamers GM Goa Gold HP iOS ISIS Japan Kimye Mac Manchester City Movies NATO NBA NFL North Korea Oil Opposition PC Premier League Prison PS4 Rita Ora Sex Social media Star Wars Students Uber UK USA Windows 10 Xbox One Yahoo advertising 2008 2020 USweekly
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https://venturebeat.com/2020/08/17/photonics-startup-lightmatter-details-p1-its-ai-optical-accelerator-chip/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
2020-08-17T00:00:00
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Photonics startup Lightmatter details its AI optical accelerator chip | VentureBeat
Photonics startup Lightmatter details its AI optical accelerator chip | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Become a Member Sign In Log Out VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Photonics startup Lightmatter details its AI optical accelerator chip Kyle Wiggers@Kyle_L_Wiggers August 17, 2020 7:00 AM AI Share on Facebook Share on Twitter Share on LinkedIn Image Credit: Lightmatter Automation and Jobs Read our latest special issue. Open Now Ahead of the Hot Chips conference this week, photonics chip startup Lightmatter revealed the first technical details about its upcoming test chip, which is on track for a fall 2021 release. Unlike conventional processors and graphics cards, the test chip uses light to send signals, promising orders of magnitude higher performance and efficiency. The technology underpinning the test chip — photonic integrated circuits — stems from a 2017 paper coauthored by Lightmatter CEO and MIT alumnus Nicholas Harris that described a novel way to perform machine learning workloads using optical interference. Such chips require only a limited amount of energy because light produces less heat than electricity. They also benefit from reduced latency and are less susceptible to changes in temperature, electromagnetic fields, and noise. Lightmatter makes remarkable claims about the test chip. The company says — albeit without benchmarks — that the test chip outperforms Nvidia graphics cards, Intel and AMD processors, and even special-purpose hardware like Google’s tensor processing units (TPUs) on state-of-the-art AI models. (Lightmatter says a test chip ran the ResNet-50 object classification model on the open source ImageNet data set with 99% of single-precision floating point accuracy.) Hyperbole aside, Lightmatter says its communications platform — project Wormhole, named after the system of flow control in computer networking called “wormhole switching” — allows roughly 50 test chip processors to exchange data at rates exceeding 100Tbps without optical fibers. Communicating via a “wafer-scale” photonic platform, clusters of chips behave as though they’re one massive system, sending data far across the array. Above: A Lightmatter test chip on a board.Image Credit: Lightmatter Like many-colored beams of light refracting through a prism, an individual test chip can perform calculations using different wavelengths of light simultaneously. It encodes data and sends it through optics by modulating the brightness in wire-like components called waveguides. Test chips communicate with other chips and the outside world much like standard electronics chips (i.e., by sending a series of electrical signals). When they finish performing calculations on light beams, the P1 chips leverage a photodetector akin to a solar panel to convert the light signals back into electrical signals that can be stored or read. So how does that benefit machine learning? When an object detection algorithm processes an image, it divides each pixel into three channels — red, green, and blue — and converts the image line by line into a collection of values (a vector). Separate red, green, and blue vectors are passed through a processor, which executes an algorithm on the vectors to identify in-image objects. Digital processors pass the vectors through arrays called multiply-accumulate units (MACs) to perform the execution. A silicon processor has a small number of MACs, while a GPU has an entire array of MACs, making the latter more performant. But optical chips like Lightmatter’s test chip are able to execute algorithms by passing entries of vectors through a range of digital-to-analog converters, where they’re converted from digital sequences into proportionally sized electrical signals. An optical modulator within the test chip converts the signals into optical signals carried by beams of lasers within waveguides made of silicon. The vectors encoded in light and guided by waveguides shine through a 2D array of optical devices that perform the same operations as a MAC. But in contrast to digital processor MACs, where each layer has to wait for the previous layer to finish, calculations in the test chip occur while the beam of light is “flying” (typically in 80 picoseconds). Above: A Lightmatter chip.Image Credit: Lightmatter Lightmatter’s hardware, which is designed to be plugged into a standard server or workstation, isn’t immune to the limitations of optical processing. Speedy photonic circuits require speedy memory, and then there’s the matter of packaging every component — including lasers, modulators, and optical combiners — onto a tiny chip wafer. Plus, questions remain about what kinds of nonlinear operations — basic building blocks of models that enable them to make predictions — can be executed in the optical domain. That may be why companies like Intel and LightOn are pursuing hybrid approaches that combine silicon and optical circuits on the same die, such that parts of the model run optically and parts of it run electronically. These companies are not alone — startup Lightelligence has so far demonstrated the MNIST benchmark machine learning model, which uses computer vision to recognize handwritten digits, on its accelerator. And LightOn, Optalysis, and Fathom Computing, all vying for a slice of the budding optical chip market, have raised tens of millions in venture capital for their own chips. Not to be outdone, Boston-based Lightmatter has raised a total of $33 million from GV (Google’s AI-focused venture arm), Spark Capital, and Matrix Partners, among other investors. Lightmatter says its current focus beyond hardware is ensuring the test chip works with popular AI software, including Google’s TensorFlow machine learning framework. Update at 12:15 p.m. Pacific time: The press release provided to VentureBeat prior to Lightmatter’s Hot Chips session referred to the test chip as “P1.” The company informed us this morning that P1 is its production chip, which it isn’t yet detailing. Score lifetime access to this stock image library for only $29 Boost your productivity with these 9 hot deals for entrepreneurs You can score a lifetime of cloud backup for under $50 right now This Microsoft Excel training bundle is just $34 right now Store 5TB of data in the cloud for life for just $80 Get a Sam's Club membership for free today 7 deals gaming enthusiasts won't want to miss out on Redefine remote work with this massive power bank Learn character drawing from former Marvel and DreamWorks artists with this training Make your next presentation pop with this premium illustration builder View all deals store Landlord Tech Watch project maps where landlords may be using tech to spy on tenants Kyle Wiggers August 17, 2020 1:15 PM Researchers use AI to combat and quantify browser fingerprinting Kyle Wiggers August 17, 2020 11:50 AM VB Insight New CXL interconnect promises to move data faster, more efficiently at 32 GT/s Chris Angelini August 17, 2020 10:42 AM Google claims TensorFlow’s OpenCL can double inference performance Kyle Wiggers August 17, 2020 9:50 AM Smooth teleoperator: The rise of the remote controller Paul Sawers August 17, 2020 7:20 AM VentureBeat Homepage The Machine Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. 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Photonics startup Lightmatter details its AI optical accelerator chip
Photonics startup Lightmatter details AI optical accelerator chip VentureBeat VentureBeat Home The Machine GamesBeat Jobs Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Photonics startup Lightmatter details AI optical accelerator chip Kyle Wiggers August 17, 2020 7:00 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Lightmatter Automation Jobs Read latest special issue. Open Now Ahead Hot Chips conference week, photonics chip startup Lightmatter revealed technical details upcoming test chip, track fall 2021 release. Unlike conventional processors graphics cards, test chip uses light send signals, promising orders magnitude higher performance efficiency. The technology underpinning test chip photonic integrated circuits stems 2017 paper coauthored Lightmatter CEO MIT alumnus Nicholas Harris described novel way perform machine learning workloads optical interference. Such chips require limited energy light produces heat electricity. They benefit reduced latency susceptible changes temperature, electromagnetic fields, noise. Lightmatter makes remarkable claims test chip. The company says albeit benchmarks test chip outperforms Nvidia graphics cards, Intel AMD processors, specialpurpose hardware like Googles tensor processing units TPUs stateoftheart AI models. Lightmatter says test chip ran ResNet50 object classification model open source ImageNet data set 99 singleprecision floating point accuracy. Hyperbole aside, Lightmatter says communications platform project Wormhole, named flow control networking called wormhole switching allows roughly 50 test chip processors exchange data rates exceeding 100Tbps optical fibers. Communicating waferscale photonic platform, clusters chips behave theyre massive system, sending data far array. Above: A Lightmatter test chip board.Image Credit: Lightmatter Like manycolored beams light refracting prism, individual test chip perform calculations different wavelengths light simultaneously. It encodes data sends optics modulating brightness wirelike components called waveguides. Test chips communicate chips outside world like standard electronics chips i.e., sending series electrical signals. When finish performing calculations light beams, P1 chips leverage photodetector akin solar panel convert light signals electrical signals stored read. So benefit machine learning? When object detection algorithm processes image, divides pixel channels red, green, blue converts image line line collection values vector. Separate red, green, blue vectors passed processor, executes algorithm vectors identify inimage objects. Digital processors pass vectors arrays called multiplyaccumulate units MACs perform execution. A silicon processor small number MACs, GPU entire array MACs, making performant. But optical chips like Lightmatters test chip able execute algorithms passing entries vectors range digitaltoanalog converters, theyre converted digital sequences proportionally sized electrical signals. An optical modulator test chip converts signals optical signals carried beams lasers waveguides silicon. The vectors encoded light guided waveguides shine 2D array optical devices perform operations MAC. But contrast digital processor MACs, layer wait previous layer finish, calculations test chip occur beam light flying typically 80 picoseconds. Above: A Lightmatter chip.Image Credit: Lightmatter Lightmatters hardware, designed plugged standard server workstation, isnt immune limitations optical processing. Speedy photonic circuits require speedy memory, theres matter packaging component including lasers, modulators, optical combiners tiny chip wafer. Plus, questions remain kinds nonlinear operations basic building blocks models enable predictions executed optical domain. That companies like Intel LightOn pursuing hybrid approaches combine silicon optical circuits die, parts model run optically parts run electronically. These companies startup Lightelligencehas far demonstrated MNIST benchmark machine learning model, uses vision recognize handwritten digits, accelerator. AndLightOn, Optalysis, Fathom Computing, vying slice budding optical chip market, raised tens millions venture capital chips. Not outdone, Bostonbased Lightmatter raised total 33 million GV Googles AIfocused venture arm, Spark Capital, Matrix Partners, investors. Lightmatter says current focus hardware ensuring test chip works popular AI software, including Googles TensorFlow machine learning framework. Update 12:15 p.m. Pacific time: The press release provided VentureBeat prior Lightmatters Hot Chips session referred test chip P1. The company informed morning P1 production chip, isnt detailing. 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https://www.wksu.org/2018-11-21/optimized-prime-how-ai-and-anticipation-power-amazons-1-hour-deliveries
2020-10-10T00:00:00
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Optimized Prime: How AI And Anticipation Power Amazon's 1-Hour Deliveries | WKSU
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Clarke Fellowship WKSU Staff Directory About WKSU Broadcast Coverage Area Community Advisory Council Contact WKSU Financial and Compliance Information Drawing and Contest Rules WKSU Journalism Awards Walton D. Clarke Fellowship WKSU Staff Directory Optimized Prime: How AI And Anticipation Power Amazon's 1-Hour Deliveries By Alina Selyukh Published November 21, 2018 at 7:22 AM EST Facebook Twitter LinkedIn Email Listen • 6:00 Amazon has built a massive warehousing footprint around the country, including this Inside an Amazon fulfillment center in Baltimore. And it's been adding smaller warehouses closer to city centers where Prime Now promotes super-fast delivery options. By the time someone clicks "buy" on Amazon, Jenny Freshwater's team has probably expected it. Freshwater is a software director in Amazon's Supply Chain Optimization Technologies group. Her team forecasts demand for everything sold by Amazon worldwide. This task, into which NPR got exclusive insight, underlies the entire Amazon retail operation. And it's central to Amazon's wooing of some 100 million people who shell out up to $119 a year for a Prime subscription, which guarantees two-day shipping. Inside Amazon, corporate executives like to evoke magic when they talk about fast delivery. For months, they used the code name Houdini before launching their fastest service, Prime Now, which delivers household basics within hours. But a lot of it is thanks to artificial intelligence. With AI, computers analyze reams of data, making decisions and performing tasks that typically require human intelligence. AI is key to Amazon's retail forecasting on steroids and its push to shave off minutes and seconds in the rush to prepare, pack and deliver. "It goes beyond just being able to forecast we need a hundred blouses," Freshwater says. "We need to be able to determine how many do we expect our customers to buy across the sizes, and the colors. And then ... where do we actually put the product so that our customers can get it when they click 'buy.' " That's a key element to how Amazon speeds up deliveries: The team predicts exactly where those blouses should be stocked so that they are as close as possible to the people who will buy them. (Note: Amazon is one of NPR's financial supporters.) This process is even more essential now that the race is on for same-day and even same-hour delivery. Few other retailers have ventured into these speeds, because they're very expensive. And few rely quite so much on AI to control costs while expanding. Both AI and forecasting are not unique to Amazon. All retail stores work hard to prepare, for example, for seasonal or weather-related demand. And all major retail companies have their own algorithms, automated warehouses and delivery tricks. But it was Amazon Prime that got Americans hooked on two-day shipping, which shoppers now take for granted. Walmart, Target and many others now offer two-day deliveries even without membership fees. While all large online retailers rely on AI, "Amazon definitely has the most powerful tools for all the little computational processes involved in moving the packages through many suppliers, routes of transit and all the steps that a package goes through," says Mike Liebhold, a senior tech researcher at the Institute for the Future. Indeed, AI is woven through every part of an Amazon purchase, from the website to the warehouses to the actual delivery to your doorstep. In corporate lingo, Amazon calls that the "first mile," "middle mile" and "last mile." Forecasting for the "first mile" In 2013, Amazon got a patent for so-called "anticipatory shipping." The idea was to get your order as close as possible to your address before you actually click buy. Since then, Amazon has built a massive warehousing footprint around the country. And it's been adding smaller warehouses closer to city centers where Prime Now promotes super-fast delivery options. It's also using Whole Foods locations for faster access to groceries and basic pickups. Amazon regularly tests what new products people might want with extra-fast shipping, says Cem Sibay, who runs Amazon Prime in North America. "If you see customers consistently trying to select for same-day delivery, then the next step is obviously that some customers maybe actually even need this faster," he says. Claire Harbage / NPR An employee works on an order in Amazon's fulfillment center in Baltimore. Amazon's forecasting team works on anticipating demand for everything sold by the company worldwide. Amazon decides what to stock by looking at every detail of each product. It takes a shirt and analyzes the color, length, silhouette, sleeve length and histories of purchases for similar clothing items. Freshwater, of Amazon's forecasting team, says her group does not have access to personally identifiable information on specific shoppers. But her team looks at past demand and online-shopping habits in aggregate to write algorithms and statistical models that teach the AI. Some of Amazon's predictions are not surprising. "You don't sell very much Chicago Cubs gear in Hawaii," Freshwater says. Others are less obvious. For example, AI has learned that not all new products mean the same type of forecast. Take tax software. Everyone wants the latestversion. But the release of a new DSLR camera? That actually triggers huge demand for the olderversions, which are cheaper. AI has also determined that online shoppers often abandon their online grocery cart entirely, if bananas are sold out — and that bananas are most in demand on Mondays. Or consider sunscreen. It's obviously in demand in the summer, but Amazon's AI models have also detected mini-surges around winter holidays and spring breaks — when people go on trips to warm sunny places. Whether you search on Amazon.com or shop using Alexa on the Echo device, AI determines what results or recommendations you see and tells you how fast you might get each item. The "middle mile" Inside Amazon's warehouses, AI powers the Kiva robots, which look like large Roombas carrying bright yellow shelves. Justin Sullivan / Getty Images Kiva robots move racks of merchandise at an Amazon fulfillment center in Tracy, Calif., in 2015. The machines bring the shelves to workers. In traditional warehouses, it's the people who walk to the shelves. But in most Amazon warehouses, the robots bring the shelves to people. The machines know what to bring and when to get orders packed so they are in time for delivery. AI systems keep track of all items in the warehouses, which can be as vast as 1 million square feet. AI constantly arranges and reshuffles the shelves so that things you're about to buy are ready to go. Amazon is now rolling out new efficiency-boosting technology that eliminates the need for handheld scanners, says Brad Porter, head of robotics for Amazon Operations. The new system retrofits workers' stations with advanced cameras that can automatically scan items that workers hold in their hands. AI is learning to discern and interpret people's hand movements to recognize when a person places an item inside a shelf slot. This kind of innovation is a controversial topic in retail, where layoffs are rampant, just as automation is reshaping the workforce. Economic research is divided on how much exactly AI will eliminate or create jobs, especially for lower-income Americans. For example, Amazon has been hiring people by the hundreds of thousands for its highly automated warehouses. Its workforce has ballooned to 613,300 in a matter of a few years. Warehousing overall has been one of the fastest-growing industries, even though a lot of that work is part-time or temporary. At the same time, Amazon has launched AI-powered stores that eliminate the need for a cashier, stoking fears about the future of jobs like these industry-wide. Plus, as Porter will point out, scientists have long been working on robots that can imitate human hands with their grip. For work like packing in warehouses, an agile robotic hand could erase one key edge that human workers now have over machines. To Porter, modern automation is simply in the latest chapter of industrial progress. "Industrial automation and robotics are here. They've been here for a long time," Porter says. "I think what's novel or hard in the logistics space and for Amazon is just the diversity and selection of inventory that we have and the scale at which we're doing it. And so yeah, I think we'll continue to see technology innovation in all these spaces." The "last mile" One area where AI has created a new type of job is in deliveries. Claire Harbage / NPR The exterior of a fulfillment center in Baltimore. Amazon has many logistics contracts for deliveries, with the United States Postal Service, FedEx, UPS and other smaller companies. But it also took a page from Uber and began hiring drivers for side-gigs to make superfast deliveries in busy cities, paying between $18 and $25 an hour. The app is officially called "Flex," but its original name is "Rabbit" — "along the magic theme," says Beryl Tomay, director of Amazon's Last Mile Delivery Technology. The process relies on AI to constantly calculate how many drivers are needed at any given time. The app considers the weight and number of packages headed to the same neighborhoods and whether packages can fit in one of the available cars. The app even recommends the order of packing boxes into a car for the most efficient delivery. One big challenge for Flex drivers is parking. Amazon's app does not guide where to leave cars while dropping off a package. However, Amazon does factor how long it took other drivers to deliver to an address in its estimates. AI's timing estimates also consider traffic and types of building. "A single-family home is fairly straightforward, whereas if it's a commercial building or an apartment complex, that gets a little bit more difficult," Tomay says. "It's not always obvious where the unit is or are we taking it to a mailroom or receptionist?" As Sibay describes it, when a delivery a one-hour race, every minute counts. So delays and missed deadlines get a thorough analysis. "Were we not able to pick it in time from our warehouse shelves? Did we not have the right number of drivers?" says Sibay. Or maybe "the driver forgets his key at reception and has to walk a little longer. The driver's delivering a package and it's an elderly lady and they, you know, talk a little bit before he moves on to his next order." It's hard for AI to predict all these scenarios, Sibay says. But next time, maybe the address with the Chatty Cathy will get a few more minutes baked into the algorithm. Copyright 2020 NPR. To see more, visit https://www.npr.org. Facebook Twitter LinkedIn Email Alina Selyukh Alina Selyukh is a business correspondent at NPR, where she follows the path of the retail and tech industries, tracking how America's biggest companies are influencing the way we spend our time, money, and energy. See stories by Alina Selyukh Stay Connected twitter instagram facebook © 2020 WKSU A Service of Kent State University Contest and Drawing Rules Contact WKSU 1613 East Summit Street | Kent, Ohio 44242 | 330-672-3114 WKSU FCC Public File WNRK FCC Public File WKSV FCC Public File WKRW FCC Public file WKRJ FCC Public File
Optimized Prime: How AI And Anticipation Power Amazon's 1-Hour Deliveries
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Clarke Fellowship WKSU Staff Directory About WKSU Broadcast Coverage Area Community Advisory Council WKSU Financial Compliance Information Drawing Contest Rules WKSU Journalism Awards Walton D. Clarke Fellowship WKSU Staff Directory Optimized Prime: How AI And Anticipation Power Amazons 1Hour Deliveries By Alina Selyukh PublishedNovember 21, 2018 7:22 AM EST Facebook Twitter LinkedIn Email Listen 6:00 Amazon built massive warehousing footprint country, including Inside Amazon fulfillment center Baltimore. And adding smaller warehouses closer city centers Prime Now promotes superfast delivery options. By time clicks buy Amazon, Jenny Freshwaters team probably expected it. Freshwater software director Amazons Supply Chain Optimization Technologies group. Her team forecasts demand sold Amazon worldwide. This task, NPR got exclusive insight, underlies entire Amazon retail operation. And central Amazons wooing 100 million people shell 119 year Prime subscription, guarantees twoday shipping. Inside Amazon, corporate executives like evoke magic talk fast delivery. For months, code Houdini launching fastest service, Prime Now, delivers household basics hours. But lot thanks artificial intelligence. With AI, computers analyze reams data, making decisions performing tasks typically require human intelligence. AI key Amazons retail forecasting steroids push shave minutes seconds rush prepare, pack deliver. It goes able forecast need blouses, Freshwater says. We need able determine expect customers buy sizes, colors. And ... actually product customers click buy. Thats key element Amazon speeds deliveries: The team predicts exactly blouses stocked close possible people buy them. Note: Amazon NPRs financial supporters. This process essential race sameday samehour delivery. Few retailers ventured speeds, theyre expensive. And rely AI control costs expanding. Both AI forecasting unique Amazon. All retail stores work hard prepare, example, seasonal weatherrelated demand. And major retail companies algorithms, automated warehouses delivery tricks. But Amazon Prime got Americans hooked twoday shipping, shoppers granted. Walmart, Target offer twoday deliveries membership fees. While large online retailers rely AI, Amazon definitely powerful tools little computational processes involved moving packages suppliers, routes transit steps package goes through, says Mike Liebhold, senior tech researcher Institute Future. Indeed, AI woven Amazon purchase, website warehouses actual delivery doorstep. In corporate lingo, Amazon calls mile, middle mile mile. Forecasting mile In 2013, Amazon got patent socalled anticipatory shipping. The idea order close possible address actually click buy. Since then, Amazon built massive warehousing footprint country. And adding smaller warehouses closer city centers Prime Now promotes superfast delivery options. Its Whole Foods locations faster access groceries basic pickups. Amazon regularly tests new products people want extrafast shipping, says Cem Sibay, runs Amazon Prime North America. If customers consistently trying select sameday delivery, step obviously customers maybe actually need faster, says. Claire Harbage NPR An employee works order Amazons fulfillment center Baltimore. Amazons forecasting team works anticipating demand sold company worldwide. Amazon decides stock looking product. It takes shirt analyzes color, length, silhouette, sleeve length histories purchases similar clothing items. Freshwater, Amazons forecasting team, says group access personally identifiable information specific shoppers. But team looks past demand onlineshopping habits aggregate write algorithms statistical models teach AI. Some Amazons predictions surprising. You dont sell Chicago Cubs gear Hawaii, Freshwater says. Others obvious. For example, AI learned new products mean type forecast. Take tax software. Everyone wants latestversion. But release new DSLR camera? That actually triggers huge demand olderversions, cheaper. AI determined online shoppers abandon online grocery cart entirely, bananas sold bananas demand Mondays. Or consider sunscreen. Its obviously demand summer, Amazons AI models detected minisurges winter holidays spring breaks people trips warm sunny places. Whether search shop Alexa Echo device, AI determines results recommendations tells fast item. The middle mile Inside Amazons warehouses, AI powers Kiva robots, look like large Roombas carrying bright yellow shelves. Justin Sullivan Getty Images Kiva robots racks merchandise Amazon fulfillment center Tracy, Calif., 2015. The machines bring shelves workers. In traditional warehouses, people walk shelves. But Amazon warehouses, robots bring shelves people. The machines know bring orders packed time delivery. AI systems track items warehouses, vast 1 million square feet. AI constantly arranges reshuffles shelves things youre buy ready go. Amazon rolling new efficiencyboosting technology eliminates need handheld scanners, says Brad Porter, head robotics Amazon Operations. The new retrofits workers stations advanced cameras automatically scan items workers hold hands. AI learning discern interpret peoples hand movements recognize person places item inside shelf slot. This kind innovation controversial topic retail, layoffs rampant, automation reshaping workforce. Economic research divided exactly AI eliminate create jobs, especially lowerincome Americans. For example, Amazon hiring people hundreds thousands highly automated warehouses. Its workforce ballooned 613,300 matter years. Warehousing overall fastestgrowing industries, lot work parttime temporary. At time, Amazon launched AIpowered stores eliminate need cashier, stoking fears future jobs like industrywide. Plus, Porter point out, scientists long working robots imitate human hands grip. For work like packing warehouses, agile robotic hand erase key edge human workers machines. To Porter, modern automation simply latest chapter industrial progress. Industrial automation robotics here. Theyve long time, Porter says. I think whats novel hard logistics space Amazon diversity selection inventory scale it. And yeah, I think continue technology innovation spaces. The mile One area AI created new type job deliveries. Claire Harbage NPR The exterior fulfillment center Baltimore. Amazon logistics contracts deliveries, United States Postal Service, FedEx, UPS smaller companies. But took Uber began hiring drivers sidegigs superfast deliveries busy cities, paying 18 25 hour. The app officially called Flex, original Rabbit magic theme, says Beryl Tomay, director Amazons Last Mile Delivery Technology. The process relies AI constantly calculate drivers needed given time. The app considers weight number packages headed neighborhoods packages fit available cars. The app recommends order packing boxes car efficient delivery. One big challenge Flex drivers parking. Amazons app guide leave cars dropping package. However, Amazon factor long took drivers deliver address estimates. AIs timing estimates consider traffic types building. A singlefamily home fairly straightforward, commercial building apartment complex, gets little bit difficult, Tomay says. Its obvious unit taking mailroom receptionist? As Sibay describes it, delivery onehour race, minute counts. So delays missed deadlines thorough analysis. Were able pick time warehouse shelves? Did right number drivers? says Sibay. Or maybe driver forgets key reception walk little longer. The drivers delivering package elderly lady they, know, talk little bit moves order. Its hard AI predict scenarios, Sibay says. But time, maybe address Chatty Cathy minutes baked algorithm. 2020 NPR. To more, visit Facebook Twitter LinkedIn Email Alina Selyukh Alina Selyukh business correspondent NPR, follows path retail tech industries, tracking Americas biggest companies influencing way spend time, money, energy. See stories Alina Selyukh Stay Connected twitter instagram facebook 2020 WKSU A Service Kent State University Contest Drawing Rules WKSU 1613 East Summit Street Kent, Ohio 44242 3306723114 WKSU FCC Public File WNRK FCC Public File WKSV FCC Public File WKRW FCC Public file WKRJ FCC Public File
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ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 2020-2028 – Bulletin Line
ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 2020-2028 – Bulletin Line Bulletin Line Market Research Reports Home COVID-19 Industry Impact Latest Market Reports Market Price Analysis Market Study Contact Us Home2020September15ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 2020-2028 ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 2020-2028 Posted On: September 15, 2020 Posted By: [email protected] Comments: 0 Artificial Intelligence in Pharmaceutical Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players. Click Here to Get Sample of the Premium Report @ https://www.quincemarketinsights.com/request-sample-68802?utm_source=bl&utm_medium=Arshad A 360 degree outline of the competitive scenario of the Global Artificial intelligence in pharmaceutical Market is presented by Quince Market Insights. It has a massive data allied to the recent product and technological developments in the markets. It has a wide-ranging analysis of the impact of these advancements on the market’s future growth, wide-ranging analysis of these extensions on the market’s future growth. The research report studies the market in a detailed manner by explaining the key facets of the market that are foreseeable to have a countable stimulus on its developing extrapolations over the forecast period. What does this Report Provide? This report provides a detailed understanding of the global artificial intelligence in pharmaceutical demand from a qualitative and quantitative perspective with a forecast for the next 10 years. The report also provides dynamic indicators with potential impact in the market during the forecast period and an in-depth analysis of the leading companies operating in the global Artificial intelligence in pharmaceutical market. The major market drivers, challenges, and opportunities for global Artificial intelligence in pharmaceutical market are also covered in the market. This report also includes the market share of the leading Artificial intelligence in pharmaceutical producers along with their production capacities and growth strategies adopted by them. Companies Covered: In this report we have studied this major companies Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare. … Reasons for buying this report: It offers an analysis of changing competitive scenario. For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies. It offers seven-year assessment of Global Artificial intelligence in pharmaceutical It helps in understanding the major key product segments. Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities. It offers regional analysis of Global Artificial intelligence in pharmaceutical Market along with business profiles of several stakeholders. It offers massive data about trending factors that will influence the progress of the Global Artificial intelligence in pharmaceutical Get TOC for overview of Premium report @ https://www.quincemarketinsights.com/request-toc-68802?utm_source=CC&utm_medium=Arshad Market Segmentation: By Application (Diagnosis, Clinical trial research, Drug Discovery, R&D, Epidemic prediction) By End Users (Hospitals, Clinical trial lab, Research institute) By Region (North America, Europe, Asia Pacific, Middle East & Africa, And South America) A detailed outline of the Global Artificial intelligence in pharmaceutical Market includes a comprehensive analysis of different verticals of businesses. North America, Europe, Asia Pacific, Middle East & Africa, and South America have been considered for the studies on the basis of several terminologies. This is anticipated to drive the Global Artificial intelligence in pharmaceutical Market over the forecast period. This research report covers the market landscape and its progress prospects in the near future. After studying key companies, the report focuses on the new entrants contributing to the growth of the market. Most companies in the Global Artificial intelligence in pharmaceutical Market are currently adopting new technological trends in the market. Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global Artificial intelligence in pharmaceutical Market. The feasibility of the new report is also measured in this research report. Table of Contents: Global Artificial intelligence in pharmaceutical Market Overview Economic Impact on Industry Market Competition by Manufacturers Production, Revenue (Value) by Region Production, Revenue (Value), Price Trend by Type Market Analysis Sharing System Cost Analysis Industrial Chain, Sourcing Strategy and Downstream Buyers Marketing Strategy Analysis, Distributors/Traders Market Effect Factors Analysis Global Artificial intelligence in pharmaceutical Market Forecast Make an Enquiry for purchasing this Report @ https://www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-68802?utm_source=bl&utm_medium=Arshad By Region: North America Artificial Intelligence in Pharmaceutical Market North America, by Country US Canada Mexico North America, by Application North America, by End Users Europe Artificial Intelligence in Pharmaceutical Market Europe, by Country Germany UK France Italy Spain The Netherlands Russia Turkey Rest of Europe Europe, by Application Europe, by End Users Asia Pacific Artificial Intelligence in Pharmaceutical Market Asia Pacific, by Country China India Japan South Korea Australia Indonesia Rest of Asia Pacific Asia Pacific, by Application Asia Pacific, by End Users Middle East Artificial Intelligence in Pharmaceutical Market Middle East, by Country UAE Saudi Arabia Qatar Iran Rest of Middle East Middle East, by Application Middle East, by End Users South America Artificial Intelligence in Pharmaceutical Market South America, by Country Brazil Argentina Rest of South America South America, by Application South America, by End Users ABOUT US: QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact: Quince Market Insights Ajay D. (Knowledge Partner) Office No- A109 Pune, Maharashtra 411028 Phone: US +1 208 405 2835 UK +44 144 439 0986 APAC +91 706 672 4848 Email: [email protected] Web: www.quincemarketinsights.com industry analysisMarket Growthmarket sharemarket sizeResearch Report And Forecast 2028 Post navigation Prev PostNext Post Search News About usHome Contact Us Know About Us Our Staff PoliciesPrivacy Policy Editorial Policy Use of Cookies Bulletin Line by Everestthemes
ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 2020-2028
ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 20202028 Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020September15ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 20202028 ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL MARKET TO DEPICT APPRECIABLE GROWTH PROSPECTS OVER 20202028 Posted On: September 15, 2020 Posted By: [emailprotected] Comments: 0 Artificial Intelligence Pharmaceutical Marketis analyzed industry experts mind maximize return investment providing clear information needed informed business decisions. This research help established new entrants identify analyze market needs, market size competition. It explains supply demand situation, competitive scenario, challenges market growth, market opportunities threats faced key players. ClickHere toGetSample ofthePremiumReport@ A 360 degree outline competitive scenario Global Artificial intelligence pharmaceutical Market presented Quince Market Insights. It massive data allied recent product technological developments markets. It wideranging analysis impact advancements markets future growth, wideranging analysis extensions markets future growth. The research report studies market detailed manner explaining key facets market foreseeable countable stimulus developing extrapolations forecast period. What Report Provide? This report provides detailed understanding global artificial intelligence pharmaceutical demand qualitative quantitative perspective forecast 10 years. The report provides dynamic indicators potential impact market forecast period indepth analysis leading companies operating global Artificial intelligence pharmaceutical market. The major market drivers, challenges, opportunities global Artificial intelligence pharmaceutical market covered market. This report includes market share leading Artificial intelligence pharmaceutical producers production capacities growth strategies adopted them. Companies Covered:In report studied major companies Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare. Reasons buying report: It offers analysis changing competitive scenario. For making informed decisions businesses, offers analytical data strategic planning methodologies. It offers sevenyear assessment Global Artificial intelligence pharmaceutical It helps understanding major key product segments. Researchers throw light dynamics market drivers, restraints, trends, opportunities. It offers regional analysis Global Artificial intelligence pharmaceutical Market business profiles stakeholders. It offers massive data trending factors influence progress Global Artificial intelligence pharmaceutical Get TOC overview Premium report @ Market Segmentation: By Application Diagnosis, Clinical trial research, Drug Discovery, RD, Epidemic prediction By End Users Hospitals, Clinical trial lab, Research institute By Region North America, Europe, Asia Pacific, Middle East Africa, And South America A detailed outline Global Artificial intelligence pharmaceutical Market includes comprehensive analysis different verticals businesses. North America, Europe, Asia Pacific, Middle East Africa, South America considered studies basis terminologies. This anticipated drive Global Artificial intelligence pharmaceutical Market forecast period. This research report covers market landscape progress prospects near future. After studying key companies, report focuses new entrants contributing growth market. Most companies Global Artificial intelligence pharmaceutical Market currently adopting new technological trends market. Finally, researchers throw light different ways discover strengths, weaknesses, opportunities, threats affecting growth Global Artificial intelligence pharmaceutical Market. The feasibility new report measured research report. Table Contents: Global Artificial intelligence pharmaceutical Market Overview Economic Impact Industry Market Competition Manufacturers Production, Revenue Value Region Production, Revenue Value, Price Trend Type Market Analysis Sharing System Cost Analysis Industrial Chain, Sourcing Strategy Downstream Buyers Marketing Strategy Analysis, DistributorsTraders Market Effect Factors Analysis Global Artificial intelligence pharmaceutical Market Forecast Make Enquiry purchasing Report @ By Region: North America Artificial Intelligence Pharmaceutical Market North America, Country US Canada Mexico North America, Application North America, End Users Europe Artificial Intelligence Pharmaceutical Market Europe, Country Germany UK France Italy Spain The Netherlands Russia Turkey Rest Europe Europe, Application Europe, End Users Asia Pacific Artificial Intelligence Pharmaceutical Market Asia Pacific, Country China India Japan South Korea Australia Indonesia Rest Asia Pacific Asia Pacific, Application Asia Pacific, End Users Middle East Artificial Intelligence Pharmaceutical Market Middle East, Country UAE Saudi Arabia Qatar Iran Rest Middle East Middle East, Application Middle East, End Users South America Artificial Intelligence Pharmaceutical Market South America, Country Brazil Argentina Rest South America South America, Application South America, End Users ABOUT US: QMI comprehensive collection market research products services available web. We deliver reports virtually major publications refresh list regularly provide immediate online access worlds extensive uptodate archive professional insights global markets, companies, goods, patterns. : Quince Market Insights Ajay D. Knowledge Partner Office No A109 Pune, Maharashtra 411028 Phone: US 1 208 405 2835 UK 44 144 439 0986 APAC 91 706 672 4848 Email:[emailprotected] Web: industry analysisMarket Growthmarket sharemarket sizeResearch Report And Forecast 2028 Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes
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https://aindustryreports.com/2020/01/28/global-venous-stents-market-insights-2019-2025-boston-scientific-medtronic-veniti-cook-medical-optimed-med-c-r-bard/
2020-01-28T00:00:00
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Global Venous Stents Market Insights 2019-2025 – Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard – Market Industry Reports
Global Venous Stents Market Insights 2019-2025 – Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard – Market Industry Reports Skip to content Menu Chemicals Health Heavy Industries Medical Technology Contact Market Industry Reports Global Venous Stents Market Insights 2019-2025 – Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard Hiren.s - January 28, 2020 - Medical The “Venous Stents Market” research report provides all the point related to global Venous Stents market commencing from the fundamental market data and moving up towards to various essential factors, based on which, the Venous Stents market is segregated—one of which is key market players Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard. Major use-case scenarios of Venous Stents are also evaluated based on their performance. Summary of the Global Venous Stents Report Apply here for the free sample copy of the report @: https://www.promarketresearch.com/request-for-sample.html?repid=24935 The report examines the Venous Stents market considering the export and import numbers along with the current industry chain. It also covers development and growth of demand & supply of Venous Stents.Furthermore, The report presents a detailed segmentation 10 mm Stent, 12 mm Stent, 14 mm Stent, 16 mm Stent, Market Trend by Application Leg, Chest, Abdomen, Others of the global market based on technology, product type, application, and various processes and systems. The Venous Stents market research report examines the existing as well as sequential performance of the worldwide market apart from the newest market trends. The report also calculates the forthcoming status of Venous Stents market based on thorough analysis. Read Detailed Index of full Research Study at:: https://www.promarketresearch.com/global-venous-stents-market-2018-by-manufacturers-regions-24935.html Scope of the Global Venous Stents Report • The Venous Stents market report comprises each and every property of the global market, which starts from the definition of the Venous Stents market and ends with the segmentation of the market. • The geographical segmentation of the Venous Stents market has been performed and examined genuinely in this report • In addition to this, each section of the Venous Stents market is segmented and studied on the basis of types of products, their applications, and the end-use firms of the industry • The global Venous Stents market is also studied on the basis of size of manufacturing for Venous Stents, cost of goods, the revenue created by the products, and data associated with supply & demand of Venous Stents • The competitive situation of the global Venous Stents market is conducted on the basis of examination of production ability, different market players, the general revenue created by every player of the Venous Stents market, and manufacturing chain of market all over the world, regional analysis, and so on. • Various methodical factors such as asset returns, probability, and examination of current status of market has been employed in the research to offer a full data of the Venous Stents market There are 15 Chapters to display the Global Venous Stents market Chapter 1, Definition, Specifications and Classification of Venous Stents, Applications of Venous Stents, Market Segment by Regions; Chapter 2, Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure; Chapter 3, Technical Data and Manufacturing Plants Analysis of Venous Stents, Capacity and Commercial Production 9/10/2018 3:09:00 PM, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis; Chapter 4, Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment); Chapter 5 and 6, Regional Market Analysis that includes United States, China, Europe, Japan, Korea & Taiwan, Venous Stents Segment Market Analysis (by Type); Chapter 7 and 8, The Venous Stents Segment Market Analysis (by Application) Major Manufacturers Analysis of Venous Stents ; Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type 10 mm Stent, 12 mm Stent, 14 mm Stent, 16 mm Stent, Market Trend by Application Leg, Chest, Abdomen, Others; Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis; Chapter 11, The Consumers Analysis of Global Venous Stents ; Chapter 12, Venous Stents Research Findings and Conclusion, Appendix, methodology and data source; Chapter 13, 14 and 15, Venous Stents sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source. Enquire Here Get customization & check discount for report @: https://www.promarketresearch.com/inquiry-for-buying.html?repid=24935 Reasons for Buying Venous Stents market This report provides pin-point analysis for changing competitive dynamics It provides a forward looking perspective on different factors driving or restraining market growth It provides a six-year forecast assessed on the basis of how the market is predicted to grow It helps in understanding the key product segments and their future It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia. Contact US: Joel John 3422 SW 15 Street, Suit #8138, Deerfield Beach, Florida 33442, United States Tel: +1-386-310-3803 GMT Tel: +49-322 210 92714 USA/Canada Toll Free No. 1-855-465-4651 Web: http://www.promarketresearch.com/ Email: [email protected]   Tagged Global Venous Stents Market 2018, Venous Stents, Venous Stents Market, Venous Stents Market Demand, Venous Stents Market Overview, Venous Stents Market Sale & Price, Venous Stents Market Size & Share, Venous Stents Market Trend Post navigation Previous PostPrevious Global Vascular Endothelial Growth Factor B Market Insights 2019-2025 – Alteogen Inc, CSL Ltd, Eli Lilly and Company, Formycon AGNext PostNext Global Venous Thromboembolism Therapeutics Drugs Market Insights 2019-2025 – Bayer, BMS, Boehringer Ingelheim, Daiichi Sankyo, J&J Copyright © 2020 Market Industry Reports - Powered by FilaThemes
Global Venous Stents Market Insights 2019-2025
Global Venous Stents Market Insights 20192025 Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports Global Venous Stents Market Insights 20192025 Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard Hiren.s January 28, 2020 Medical The Venous Stents Market research report provides point related global Venous Stents market commencing fundamental market data moving essential factors, based which, Venous Stents market segregatedone key market players Boston Scientific, Medtronic, Veniti, Cook Medical, Optimed Med, C.R. Bard. Major usecase scenarios Venous Stents evaluated based performance. Summary Global Venous Stents Report Apply free sample copy report The report examines Venous Stents market considering export import numbers current industry chain. It covers development growth demand supply Venous Stents.Furthermore, The report presents detailed segmentation 10 mm Stent, 12 mm Stent, 14 mm Stent, 16 mm Stent, Market Trend Application Leg, Chest, Abdomen, Others global market based technology, product type, application, processes systems. The Venous Stents market research report examines existing sequential performance worldwide market apart newest market trends. The report calculates forthcoming status Venous Stents market based thorough analysis. Read Detailed Index Research Study at:: Scope Global Venous Stents Report The Venous Stents market report comprises property global market, starts definition Venous Stents market ends segmentation market. The geographical segmentation Venous Stents market performed examined genuinely report In addition this, section Venous Stents market segmented studied basis types products, applications, enduse firms industry The global Venous Stents market studied basis size manufacturing Venous Stents, cost goods, revenue created products, data associated supply demand Venous Stents The competitive situation global Venous Stents market conducted basis examination production ability, different market players, general revenue created player Venous Stents market, manufacturing chain market world, regional analysis, on. Various methodical factors asset returns, probability, examination current status market employed research offer data Venous Stents market There 15 Chapters display Global Venous Stents market Chapter 1, Definition, Specifications Classification Venous Stents, Applications Venous Stents, Market Segment Regions; Chapter 2,Manufacturing Cost Structure, Raw Material Suppliers, Manufacturing Process, Industry Chain Structure; Chapter 3,Technical Data Manufacturing Plants Analysis Venous Stents, Capacity Commercial Production 9102018 3:09:00 PM, Manufacturing Plants Distribution, RD Status Technology Source, Raw Materials Sources Analysis; Chapter 4,Overall Market Analysis, Capacity Analysis Company Segment, Sales Analysis Company Segment, Sales Price Analysis Company Segment; Chapter 5 6,Regional Market Analysis includes United States, China, Europe, Japan, Korea Taiwan, Venous Stents Segment Market Analysis Type; Chapter 7 8,The Venous Stents Segment Market Analysis Application Major Manufacturers Analysis Venous Stents ; Chapter 9,Market Trend Analysis, Regional Market Trend, Market Trend Product Type 10 mm Stent, 12 mm Stent, 14 mm Stent, 16 mm Stent, Market Trend Application Leg, Chest, Abdomen, Others; Chapter 10,Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis; Chapter 11,The Consumers Analysis Global Venous Stents ; Chapter 12,Venous Stents Research Findings Conclusion, Appendix, methodology data source; Chapter 13, 14 15,Venous Stents sales channel, distributors, traders, dealers, Research Findings Conclusion, appendix data source. Enquire Here Get customization check discount report Reasons Buying Venous Stents market This report provides pinpoint analysis changing competitive dynamics It provides forward looking perspective different factors driving restraining market growth It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. US: Joel John 3422 SW 15 Street, Suit 8138, Deerfield Beach, Florida 33442, United States Tel: 13863103803 GMT Tel: 49322 210 92714 USACanada Toll Free No. 18554654651 Web: Email:[emailprotected] Tagged Global Venous Stents Market 2018, Venous Stents, Venous Stents Market, Venous Stents Market Demand, Venous Stents Market Overview, Venous Stents Market Sale Price, Venous Stents Market Size Share, Venous Stents Market Trend Post navigation Previous PostPrevious Global Vascular Endothelial Growth Factor B Market Insights 20192025 Alteogen , CSL Ltd, Eli Lilly Company, Formycon AGNext PostNext Global Venous Thromboembolism Therapeutics Drugs Market Insights 20192025 Bayer, BMS, Boehringer Ingelheim, Daiichi Sankyo, JJ 2020 Market Industry Reports Powered FilaThemes
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https://galusaustralis.com/2020/08/859787/coronavirus-impact-editon-of-polyester-grafts-market-2020-future-development-top-manufacturers-technological-advancement-share-size-and-forecast-bard-peripheral-vascular-terumo-w-l-gore-junke/
2020-08-28T00:00:00
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Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen – Galus Australis
Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen – Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle Sci-Tech Friday, August 28 2020 Trending Global 4, 4-Biphenol Market- Industry Analysis and Forecast (2020-2027)- By Purity, End-User, and Region. Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen In Depth Analysis and Survey of COVID-19 Pandemic Impact on Global Motor Monitoring Coronavirus Impact Editon of Key Players Banner Engineering, ABB, National Instruments, Megger, Siemens Coronavirus Impact Editon of UAV Hybrid Propulsion Systems Coronavirus Impact Editon of Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Ballard Power Systems, LaunchPoint Technologies, Northwest UAV, ORIBTAL CORPORATION, Rotron Power Global Sleep Apnea Masks Market Research Report With COVID-19 Update Global White Noise Sound Machines Market Research Report With COVID-19 Update Global Sleep Apnea Machines Market Research Report With COVID-19 Update Global Sleep Therapy Machines Market Research Report With COVID-19 Update Global Finger Pulse Oximeters Market Research Report With COVID-19 Update Global Portable Sputum Aspirator Market Research Report With COVID-19 Update Contact Us Home/Healthcare/Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen Healthcare Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen Matt Scott August 28, 2020 Report is a detailed study of the Polyester Grafts market, which covers all the essential information required by a new market entrant as well as the existing players to gain a deeper understanding of the market.The primary objective of this research report named Polyester Grafts market is to help making reliable strategic decisions regarding the opportunities in Polyester Grafts market. It offers business accounts, industry investors, and industry segments with consequential insights enhancing decision making ability.[email protected] or call us on +1-312-376-8303. Request Report from CMR Website:https://cognitivemarketresearch.com/machinery-%26-equipment/polyester-grafts-market-report Global and Regional Polyester Grafts Market Segmentation by Type: Knitted Polyester Vascular Grafts, Woven Polyester Vascular Grafts Global Polyester Grafts Market Segmentation by Applications: Cardiovascular diseases, Aneurysm, Vascular occlusion, Others Major Market Players with an in-depth analysis: Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen, LeMaitre, Shanghai Suokang, Shanghai Chest Medical, JOTEC Request Free Sample Copy of Polyester Grafts Market Research [email protected] https://cognitivemarketresearch.com/machinery-%26-equipment/polyester-grafts-market-report#download_report The Polyester Grafts market report offers the current state of the market around the world. The report starts with the market outline and key components of the Polyester Grafts market which assumes a significant job for clients to settle on the business choice. It additionally offers the key focuses to upgrade the development in the Polyester Grafts market. Some fundamental ideas are likewise secured by reports, for example, item definition, its application, industry esteem chain structure and division which help the client to break down the market without any problem. Also, the report covers different factors, for example, arrangements, efficient and innovative which are affecting the Polyester Grafts business and market elements. Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—> Download Sample Report of Polyester Grafts Market Report 2020 (Coronavirus Impact Analysis on Polyester Grafts Market) The research comprises primary information about the products. Similarly, it includes supply-demand statistics, and segments that constrain the growth of an industry. It also includes raw materials used and manufacturing process of Polyester Grafts market. Additionally, report provides market drivers and challenges & opportunities for overall market in the particular provincial sections. Competitive Analysis has been done to understand overall market which will be helpful to take decisions. Major players involved in the manufacture of Polyester Grafts product has been completely profiled along with their SWOT. Some of the key players include Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen, LeMaitre, Shanghai Suokang, Shanghai Chest Medical, JOTEC. It helps in understanding their strategy and activities. Business strategy described for every company helps to get idea about the current trends of company. The industry intelligence study of the Polyester Grafts market covers the estimation size of the market each in phrases of value (Mn/Bn USD) and volume (tons). Report involves detailed chapter on COVID 19 and its impact on this market. Additionally, it involves changing consumer behavior due to outbreak of COVID 19. Further, report consists of Porter’s Five Forces and BCG matrix as well as product life cycle to help you in taking wise decisions. Additionally, this report covers the inside and out factual examination and the market elements and requests which give an entire situation of the business. Regional Analysis for Polyester Grafts • North America (United States, Canada)• Europe (Germany, Spain, France, UK, Russia, and Italy)• Asia-Pacific (China, Japan, India, Australia, and South Korea)• Latin America (Brazil, Mexico, etc.)• The Middle East and Africa (GCC and South Africa) DOWNLOAD FREE SAMPLE [email protected]: https://cognitivemarketresearch.com/machinery-%26-equipment/polyester-grafts-market-report#download_report Chapters Define in TOC (Table of Content) of the Report:Chapter 1: Market Overview, Drivers, Restraints and Opportunities, SegmentationOverviewChapter 2: COVID ImpactChapter 3: Market Competition by ManufacturersChapter 4: Production by RegionsChapter 5: Consumption by RegionsChapter 6: Production, By Types, Revenue and Market share by TypesChapter 7: Consumption, By Applications, Market share (%) and Growth Rate byApplicationsChapter 8: Complete profiling and analysis of ManufacturersChapter 9: Manufacturing cost analysis, Raw materials analysis, Region-wiseManufacturing expensesChapter 10: Industrial Chain, Sourcing Strategy and Downstream BuyersChapter 11: Marketing Strategy Analysis, Distributors/TradersChapter 12: Market Effect Factors AnalysisChapter 13: Market ForecastChapter 14: Polyester Grafts Research Findings and Conclusion, Appendix, methodology and data source To check the complete Table of Content click here: @ https://cognitivemarketresearch.com/machinery-%26-equipment/polyester-grafts-market-report#table_of_contents The qualitative contents for geographical analysis will cover market trends in each region and country which includes highlights of the key players operating in the respective region/country, PEST analysis of each region which includes political, economic, social and technological factors influencing the growth of the market. The research report includes specific segments by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2015 to 2027. About Us: Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients. Contact Us: +1-312-376-8303Email: [email protected]Web: https://www.cognitivemarketresearch.com/ **********Download the Entire Report*************************************************https://cognitivemarketresearch.com/machinery-%26-equipment/polyester-grafts-market-report Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print Matt Scott Related Articles August 14, 2020 24 Potential Impact of COVID-19 Pandemic on Global Patient Safety and Risk Management Software Market Report 2020 Key Companies   Clarity Group,   RiskQual Technologies,   Quantros,   Conduent,   The Patient Safety Company August 5, 2020 8 June 2020 Global Substation Wide Area Monitoring System Coronavirus Impact Editon of COVID 19 Impact Analysis Updated Edition Top Players Include, ABB, Electric Power Group, General Electric, Schneider Electric, Siemens June 26, 2020 10 In Depth Analysis and Survey of COVID-19 Pandemic Impact on Global Permanent Magnet Motor Market Report 2020 Key Players ABB, GE, Siemens, Yaskawa, Rockwell May 1, 2020 7 Global Anesthesia Gas Evaporators Market Research Report 2020 by COVID-19 Pandemic Economic Emergency Analysis, Industry Size, Future Growth Analysis by 2027 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Coronavirus Impact Editon of Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size and Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen
Coronavirus Impact Editon Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle SciTech Friday, August 28 2020 Trending Global 4, 4Biphenol Market Industry Analysis Forecast 20202027 By Purity, EndUser, Region. Coronavirus Impact Editon Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen In Depth Analysis Survey COVID19 Pandemic Impact Global Motor Monitoring Coronavirus Impact Editon Key Players Banner Engineering, ABB, National Instruments, Megger, Siemens Coronavirus Impact Editon UAV Hybrid Propulsion Systems Coronavirus Impact Editon Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Ballard Power Systems, LaunchPoint Technologies, Northwest UAV, ORIBTAL CORPORATION, Rotron Power Global Sleep Apnea Masks Market Research Report With COVID19 Update Global White Noise Sound Machines Market Research Report With COVID19 Update Global Sleep Apnea Machines Market Research Report With COVID19 Update Global Sleep Therapy Machines Market Research Report With COVID19 Update Global Finger Pulse Oximeters Market Research Report With COVID19 Update Global Portable Sputum Aspirator Market Research Report With COVID19 Update Us HomeHealthcareCoronavirus Impact Editon Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen Healthcare Coronavirus Impact Editon Polyester Grafts Market 2020 Future Development, Top Manufacturers, Technological Advancement, Share, Size Forecast Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen Matt Scott August 28, 2020 Report detailed study Polyester Grafts market, covers essential information required new market entrant existing players gain deeper understanding market.The primary objective research report named Polyester Grafts market help making reliable strategic decisions opportunities Polyester Grafts market. It offers business accounts, industry investors, industry segments consequential insights enhancing decision making ability.[emailprotected] 13123768303. Request Report CMR Website: Global Regional Polyester Grafts Market Segmentation Type: Knitted Polyester Vascular Grafts, Woven Polyester Vascular Grafts Global Polyester Grafts Market Segmentation Applications: Cardiovascular diseases, Aneurysm, Vascular occlusion, Others Major Market Players indepth analysis: Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen, LeMaitre, Shanghai Suokang, Shanghai Chest Medical, JOTEC Request Free Sample Copy Polyester Grafts Market Research [emailprotected] The Polyester Grafts market report offers current state market world. The report starts market outline key components Polyester Grafts market assumes significant job clients settle business choice. It additionally offers key focuses upgrade development Polyester Grafts market. Some fundamental ideas likewise secured reports, example, item definition, application, industry esteem chain structure division help client break market problem. Also, report covers different factors, example, arrangements, efficient innovative affecting Polyester Grafts business market elements. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Polyester Grafts Market Report 2020 Coronavirus Impact Analysis Polyester Grafts Market The research comprises primary information products. Similarly, includes supplydemand statistics, segments constrain growth industry. It includes raw materials manufacturing process Polyester Grafts market. Additionally, report provides market drivers challenges opportunities overall market particular provincial sections. Competitive Analysis understand overall market helpful decisions. Major players involved manufacture Polyester Grafts product completely profiled SWOT. Some key players include Bard Peripheral Vascular, Terumo, W. L. Gore, JUNKEN MEDICAL, B. Braun Melsungen, LeMaitre, Shanghai Suokang, Shanghai Chest Medical, JOTEC. It helps understanding strategy activities. Business strategy described company helps idea current trends company. The industry intelligence study Polyester Grafts market covers estimation size market phrases value MnBn USD volume tons. Report involves detailed chapter COVID 19 impact market. Additionally, involves changing consumer behavior outbreak COVID 19. Further, report consists Porters Five Forces BCG matrix product life cycle help taking wise decisions. Additionally, report covers inside factual examination market elements requests entire situation business. Regional Analysis Polyester Grafts North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa DOWNLOAD FREE SAMPLE [emailprotected]: Chapters Define TOC Table Content Report:Chapter 1: Market Overview, Drivers, Restraints Opportunities, SegmentationOverviewChapter 2: COVID ImpactChapter 3: Market Competition ManufacturersChapter 4: Production RegionsChapter 5: Consumption RegionsChapter 6: Production, By Types, Revenue Market share TypesChapter 7: Consumption, By Applications, Market share Growth Rate byApplicationsChapter 8: Complete profiling analysis ManufacturersChapter 9: Manufacturing cost analysis, Raw materials analysis, RegionwiseManufacturing expensesChapter 10: Industrial Chain, Sourcing Strategy Downstream BuyersChapter 11: Marketing Strategy Analysis, DistributorsTradersChapter 12: Market Effect Factors AnalysisChapter 13: Market ForecastChapter 14: Polyester Grafts Research Findings Conclusion, Appendix, methodology data source To check complete Table Content click here: @ The qualitative contents geographical analysis cover market trends region country includes highlights key players operating respective regioncountry, PEST analysis region includes political, economic, social technological factors influencing growth market. The research report includes specific segments Type Application. This study provides information sales revenue historic forecasted period 2015 2027. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. Us: 13123768303Email: [emailprotected]Web: Download Entire Report Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print Matt Scott Related Articles August 14, 2020 24 Potential Impact COVID19 Pandemic Global Patient Safety Risk Management Software Market Report 2020 Key Companies Clarity Group, RiskQual Technologies, Quantros, Conduent, The Patient Safety Company August 5, 2020 8 June 2020 Global Substation Wide Area Monitoring System Coronavirus Impact Editon COVID 19 Impact Analysis Updated Edition Top Players lude, ABB, Electric Power Group, General Electric, Schneider Electric, Siemens June 26, 2020 10 In Depth Analysis Survey COVID19 Pandemic Impact Global Permanent Magnet Motor Market Report 2020 Key Players ABB, GE, Siemens, Yaskawa, Rockwell May 1, 2020 7 Global Anesthesia Gas Evaporators Market Research Report 2020 COVID19 Pandemic Economic Emergency Analysis, Industry Size, Future Growth Analysis 2027 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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"impact", "editon", "covid", "impact", "analysis", "updated", "edition", "players", "lude", "abb", "electric", "power", "group", "general", "electric", "schneider", "electric", "siemens", "june", "depth", "analysis", "survey", "covid", "pandemic", "impact", "global", "permanent", "magnet", "motor", "market", "report", "key", "players", "abb", "ge", "siemens", "yaskawa", "rockwell", "global", "anesthesia", "gas", "evaporators", "market", "research", "report", "covid", "pandemic", "economic", "emergency", "analysis", "industry", "size", "future", "growth", "analysis", "facebook", "twitter", "whatsapp", "telegram", "close", "close", "log", "forget", "remember", "log" ]
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NEGATIVE
736
https://www.fox9.com/news/peta-calls-for-punxsutawney-phil-to-retire-be-replaced-with-ai-robot-for-groundhog-day
2020-01-29T00:00:00
en
PETA calls for Punxsutawney Phil to retire, be replaced with AI robot for Groundhog Day | FOX 9 Minneapolis-St. Paul
PETA calls for Punxsutawney Phil to retire, be replaced with AI robot for Groundhog Day | FOX 9 Minneapolis-St. Paul LiveNewsWeatherSportsMorningContests More Expand / Collapse search Watch Live ☰ Search site News Local NewsNational NewsWorld NewsInvestigatorsPoliticsConsumerWeather FOX 9 Weather AppForecastSchool ClosingsTrafficSports VikingsGophersTwinsWildTimberwolvesLynxUnitedMorning Shayne WellsGarden GuyTodd WalkerRecipesShows The Jason ShowEnough SaidVikings Gameday LiveVikings LiveThe PJ Fleck ShowFOX 9 Sports NowAbout Us Contact UsContestsPersonalitiesJobs at FOX 9What's On FOXAdvertiseFCC Public File PETA calls for Punxsutawney Phil to retire, be replaced with AI robot for Groundhog Day By Kelly Taylor Hayes Published 2 hours ago Updated 1 hour ago Lifestyle FOX TV Digital Team Facebook Twitter Print Email PETA calls for Punxsutawney Phil to retire and be replaced with robot PETA suggested that the Punxsutawney Groundhog Club use an animatronic version with artificial intelligence could predict the weather. PUNXSUTAWNEY, Pa. - PETA is calling for Pennsylvania’s most famous groundhog to retire and be replaced with an animatronic version ahead of Groundhog Day 2020. The animal rights organization wrote in a letter to the Punxsutawney Groundhog Club that it was time to change the decades-old tradition in which Punxsutawney Phil predicts whether we’ll see an early end to winter. The top hat-wearing members of the club who handle Phil bring him out and reveal the animal’s forecast every Feb. 2 in the town of Punxsutawney, located about 85 miles northeast of Pittsburgh. The legend says if the furry rodent sees his shadow, there will be six more weeks of winter. If not, spring comes early.Thousands of people gather for the annual event, which has taken place as far back as the late 1800s. Handler AJ Dereume holds Punxsutawney Phil after he did not see his shadow predicting an early spring during the 133rd annual Groundhog Day festivities on Feb. 2, 2019 in Punxsutawney, Pennsylvania. (Photo by Jeff Swensen/Getty Images) Phil lives in a man-made zoo that is climate controlled and light regulated and is connected to the Punxsutawney Memorial Library, according to the Punxsutawney Groundhog Club website.“When Phil is dragged out of his hole and held up to flashing lights and crowds, he has no idea what’s happening,” PETA President Ingrid Newkirk wrote. “Being relegated to a library ‘habitat’ for the other days of the year doesn’t allow him or the other groundhog there to dig, burrow, or forage. It’s no kind of life for these animals.” Advertisement PETA suggested that instead of live animals, the Punxsutawney Groundhog Club use “technologically advanced electromechanical devices such as animatronics” with artificial intelligence could reliably predict the weather.“An AI Phil would renew interest in Punxsutawney, generating a great deal of buzz, much like Sony’s robot dog ‘aibo,’ which walks, plays, misbehaves, and responds to commands,” Newkirk wrote.“By creating an AI Phil, you could keep Punxsutawney at the center of Groundhog Day but in a much more progressive way.”The organization also suggested that the younger generation isn’t as captivated by the Groundhog Day tradition.“Today’s young people are born into a world of terabytes, and to them, watching a nocturnal rodent being pulled from a fake hole isn’t even worthy of a text message,” the letter reads. “This is a generation whose members book rides on their smart phones and will never walk into a bank to deposit a check. Ignoring the nation’s fast-changing demographics might well prove the end of Groundhog Day.”The Punxsutawney Groundhog Club did not immediately respond to a request for comment.This story was reported from Cincinnati. Just in... Airlines suspend China flights, cut services on virus fears Vikings great, Hall of Famer Chris Doleman dead at 58 Germany, Japan, Taiwan confirm first coronavirus cases in patients who haven't traveled to China Authorities: Buildings evacuated, tremors felt in Miami after powerful 7.7 earthquake strikes Cuba, Jamaica President Trump's Middle East peace plan calls for Palestinian state, settlement freeze Trending Pilot of Kobe Bryant’s helicopter tried to avoid heavy fog before crash Airplanes, power plants creating flurries in Minnesota Charges: Woman lured north Minneapolis shooting victim to area by asking for marijuana Police locate vehicle suspected in Edina hit-and-run that injured teen Facing $80 million budget deficit, M Health Fairview to lay off roughly 340 employees News Local NewsNational NewsWorld NewsInvestigatorsPoliticsConsumerWeather FOX 9 Weather AppForecastSchool ClosingsTrafficSports VikingsGophersTwinsWildTimberwolvesLynxUnitedMorning Shayne WellsGarden GuyTodd WalkerRecipesShows The Jason ShowEnough SaidVikings Gameday LiveVikings LiveThe PJ Fleck ShowFOX 9 Sports NowAbout Us Contact UsContestsPersonalitiesJobs at FOX 9What's On FOXAdvertiseFCC Public File facebooktwitteremail Updated Privacy PolicyTerms of ServiceDo Not Sell my Personal InformationFCC Public FileEEO Public FileJobs at FOX 9Contact Us This material may not be published, broadcast, rewritten, or redistributed. ©2020 FOX Television Stations
PETA calls for Punxsutawney Phil to retire, be replaced with AI robot for Groundhog Day
PETA calls Punxsutawney Phil retire, replaced AI robot Groundhog Day FOX 9 MinneapolisSt. Paul LiveNewsWeatherSportsMorningContests More Expand Collapse search Watch Live site News Local NewsNational NewsWorld NewsInvestigatorsPoliticsConsumerWeather FOX 9 Weather AppForecastSchool ClosingsTrafficSports VikingsGophersTwinsWildTimberwolvesLynxUnitedMorning Shayne WellsGarden GuyTodd WalkerRecipesShows The Jason ShowEnough SaidVikings Gameday LiveVikings LiveThe PJ Fleck ShowFOX 9 Sports Now UsContestsPersonalitiesJobs FOX 9Whats On FOXAdvertiseFCC Public File PETA calls Punxsutawney Phil retire, replaced AI robot Groundhog Day By Kelly Taylor Hayes Published2 hours ago Updated 1 hour ago Lifestyle FOX TV Digital Team Facebook Twitter Print Email PETA calls Punxsutawney Phil retire replaced robot PETA suggested Punxsutawney Groundhog Club use animatronic version artificial intelligence predict weather. PUNXSUTAWNEY, Pa. PETA calling Pennsylvanias famous groundhog retire replaced animatronic version ahead Groundhog Day 2020. The animal rights organization wrote letter Punxsutawney Groundhog Club time change decadesold tradition Punxsutawney Phil predicts early end winter. The hatwearing members club handle Phil bring reveal animals forecast Feb. 2 town Punxsutawney, located 85 miles northeast Pittsburgh. The legend says furry rodent sees shadow, weeks winter. If not, spring comes early.Thousands people gather annual event, taken place far late 1800s. Handler AJ Dereume holds Punxsutawney Phil shadow predicting early spring 133rd annual Groundhog Day festivities Feb. 2, 2019 Punxsutawney, Pennsylvania. Photo Jeff SwensenGetty Images Phil lives manmade zoo climate controlled light regulated connected Punxsutawney Memorial Library, according Punxsutawney Groundhog Club website.When Phil dragged hole held flashing lights crowds, idea whats happening, PETA President Ingrid Newkirk wrote. Being relegated library habitat days year doesnt allow groundhog dig, burrow, forage. Its kind life animals. Advertisement PETA suggested instead live animals, Punxsutawney Groundhog Club use technologically advanced electromechanical devices animatronics artificial intelligence reliably predict weather.An AI Phil renew Punxsutawney, generating great deal buzz, like Sonys robot dog aibo, walks, plays, misbehaves, responds commands, Newkirk wrote.By creating AI Phil, Punxsutawney center Groundhog Day progressive way.The organization suggested younger generation isnt captivated Groundhog Day tradition.Todays young people born world terabytes, them, watching nocturnal rodent pulled fake hole isnt worthy text message, letter reads. This generation members book rides smart phones walk bank deposit check. Ignoring nations fastchanging demographics prove end Groundhog Day.The Punxsutawney Groundhog Club immediately respond request comment.This story reported Cincinnati. Just in... Airlines suspend China flights, cut services virus fears Vikings great, Hall Famer Chris Doleman dead 58 Germany, Japan, Taiwan confirm coronavirus cases patients havent traveled China Authorities: Buildings evacuated, tremors felt Miami powerful 7.7 earthquake strikes Cuba, Jamaica President Trumps Middle East peace plan calls Palestinian state, settlement freeze Trending Pilot Kobe Bryants helicopter tried avoid heavy fog crash Airplanes, power plants creating flurries Minnesota Charges: Woman lured north Minneapolis shooting victim area asking marijuana Police locate vehicle suspected Edina hitandrun injured teen Facing 80 million budget deficit, M Health Fairview lay roughly 340 employees News Local NewsNational NewsWorld NewsInvestigatorsPoliticsConsumerWeather FOX 9 Weather AppForecastSchool ClosingsTrafficSports VikingsGophersTwinsWildTimberwolvesLynxUnitedMorning Shayne WellsGarden GuyTodd WalkerRecipesShows The Jason ShowEnough SaidVikings Gameday LiveVikings LiveThe PJ Fleck ShowFOX 9 Sports Now UsContestsPersonalitiesJobs FOX 9Whats On FOXAdvertiseFCC Public File facebooktwitteremail Updated Do Not Sell Personal InformationFCC Public FileEEO Public FileJobs FOX 9 Us This material published, broadcast, rewritten, redistributed. 2020 FOX Television Stations
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https://www.wfmz.com/news/pr_newswire/pr_newswire_technology/the-global-computer-vision-market-is-expected-to-grow-from-usd-11-981-88-million/article_a7cd123e-0d43-5411-8b08-4a771ac2734d.html
2020-04-15T00:00:00
en
The Global Computer Vision Market is expected to grow from USD 11,981.88 Million in 2019 to USD 19,398.97 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 8.36% | News | wfmz.com
The Global Computer Vision Market is expected to grow from USD 11,981.88 Million in 2019 to USD 19,398.97 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 8.36% | News | wfmz.com Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional > US and World Sunrise Inside Your Town Espanol > In Case You Missed It Recalls Wanted by Police Missing Persons Good News Weather Forecast Hour by Hour Local Radar 69News Weather Channel Stream and River Levels Pocono Cameras School and Business Closings Send your weather report Traffic Live Streaming Cameras Cameras and Alerts Lehigh Valley Traffic Berks Traffic I-78 Corridor US-22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Out and About Freddy Awards Contests Music Monday Program Schedule Features Food and Recipes Mr. Food Out and About What the Tech? 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Updated: April 14, 2020 @ 6:51 pm Full Forecast Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter YouTube Instagram Email Toggle navigation Search Home News Coronavirus Info Lehigh Valley Berks Regional > Poconos and Coal Region Southeastern PA Western New Jersey US and World Sunrise Inside Your Town Espanol > Noticias Deportes Entretenimiento Comunidad Su Tierra In Case You Missed It Recalls Wanted by Police Missing Persons Good News Weather Forecast Hour by Hour Local Radar Radar - Accuweather Radar - WSI Radar - Lightning 69News Weather Channel Stream and River Levels Pocono Cameras School and Business Closings Send your weather report Traffic Live Streaming Cameras Cameras and Alerts Lehigh Valley Traffic Berks Traffic I-78 Corridor US-22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Out and About Freddy Awards Contests Music Monday Program Schedule Features Food and Recipes Mr. Food Out and About What the Tech? History's Headlines One Tank Trip Signature Dish Life Lessons & Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send us your Photos / Video Send us your Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters About Us Contact Us Email Alerts Mobile and Free Apps Employment How to Watch Us WFMZ-TV 69.1 Schedule WFMZ-TV 69.3 - MeTV Schedule WDPN-TV 2.4 - H&I Schedule WDPN-TV 2.5 - Retro TV Order a copy of a story Internships Meet The Team About WFMZ-TV WFMZ-TV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order a copy of a story Obits Share This Facebook Twitter WhatsApp SMS Email Home News News The Global Computer Vision Market is expected to grow from USD 11,981.88 Million in 2019 to USD 19,398.97 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 8.36% By Reportlinker Apr 14, 2020 Apr 14, 2020 Updated 12 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save NEW YORK, April 14, 2020 /PRNewswire/ --Computer Vision Market Research Report by Component (Hardware, Services, and Software), by Application (Automotive & Transportation, Consumer Goods & Retail, Gaming, Sports & Entertainments, Healthcare, and Industrial Automation) - Global Forecast to 2025 (Cumulative Impact of COVID-19)Read the full report: https://www.reportlinker.com/p05881721/?utm_source=PRNThe Global Computer Vision Market is expected to grow from USD 11,981.88 Million in 2019 to USD 19,398.97 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 8.36%.Market Segmentation & Coverage:This research report categorizes the Computer Vision to forecast the revenues and analyze the trends in each of the following sub-markets:"The Services is projected to witness the highest growth during the forecast period"On the basis of Component, the Computer Vision Market is studied across Hardware, Services, and Software. The Hardware commanded the largest size in the Computer Vision Market in 2019. On the other hand, the Services is expected to grow at the fastest CAGR during the forecast period."The Automotive & Transportation is projected to witness the highest growth during the forecast period"On the basis of Application, the Computer Vision Market is studied across Automotive & Transportation, Consumer Goods & Retail, Gaming, Sports & Entertainments, Healthcare, Industrial Automation, and Security & Surveillance. The Industrial Automation commanded the largest size in the Computer Vision Market in 2019. On the other hand, the Automotive & Transportation is expected to grow at the fastest CAGR during the forecast period."The Asia-Pacific is projected to witness the highest growth during the forecast period"On the basis of Geography, the Computer Vision Market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is studied across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom. The Americas commanded the largest size in the Computer Vision Market in 2019. On the other hand, the Asia-Pacific is expected to grow at the fastest CAGR during the forecast period.Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Computer Vision Market including Allied Vision Technologies GmbH, Basler AG, Blipper, Cisco Systems, Cortexica Vision Systems Ltd, Daimler AG, DATAIKU, Denso Corporation, Facebook Inc., GENERAL ELECTRIC, Image Metrics Inc., Image Sensing Systems, Inc., Infineon Technologies AG, Intel Corporation, Microsoft Corporation, Mobileye NV, NVIDIA Corporation, Occipital, Inc., Orbital Insight, Rethink Robotics, and Unity Technologies.FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Computer Vision Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developmentsThe report answers questions such as:1. What is the market size and forecast of the Global Computer Vision Market?2. What are the inhibiting factors and their impact analysis shaping the Global Computer Vision Market during the forecast period?3. What is the competitive position if vendors in the Global Computer Vision Market?4. How Porters Five Forces define the Global Computer Vision Market landscape?5. What are the technology trends and regulatory frameworks in the Global Computer Vision Market?6. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Computer Vision Market?7. What is the competitive strategic window for opportunities in the Global Computer Vision Market?8. What are the modes and strategic moves considered suitable for entering the Global Computer Vision Market?Read the full report: https://www.reportlinker.com/p05881721/?utm_source=PRNAbout ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.__________________________Contact Clare: [email protected]: (339)-368-6001Intl: +1 339-368-6001 Recommended for you Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed by public comments are not those of this company or its affiliated companies. Please note by clicking on "Post" you acknowledge that you have read the TERMS OF USE and the comment you are posting is in compliance with such terms. Your comments may be used on air. Be polite. 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The Global Computer Vision Market is expected to grow from USD 11,981.88 Million in 2019 to USD 19,398.97 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 8.36%
The Global Computer Vision Market expected grow USD 11,981.88 Million 2019 USD 19,398.97 Million end 2025 Compound Annual Growth Rate CAGR 8.36 News Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional > US World Sunrise Inside Your Town Espanol > In Case You Missed It Recalls Wanted Police Missing Persons Good News Weather Forecast Hour Hour Local Radar 69News Weather Channel Stream River Levels Pocono Cameras School Business Closings Send weather report Traffic Live Streaming Cameras Cameras Alerts Lehigh Valley Traffic Berks Traffic I78 Corridor US22 Corridor Weekly Roadwork Pump Prices Sports Video Entertainment Out About Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Out About What Tech? 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Historys Headlines One Tank Trip Signature Dish Life Lessons Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send Photos Video Send Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters Us Email Alerts Mobile Free Apps Employment How Watch Us WFMZTV 69.1 Schedule WFMZTV 69.3 MeTV Schedule WDPNTV 2.4 HI Schedule WDPNTV 2.5 Retro TV Order copy story Internships Meet The Team About WFMZTV WFMZTV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order copy story Obits Share This Facebook Twitter WhatsApp SMS Email Home News News The Global Computer Vision Market expected grow USD 11,981.88 Million 2019 USD 19,398.97 Million end 2025 Compound Annual Growth Rate CAGR 8.36 By Reportlinker Apr 14, 2020 Apr 14, 2020 Updated 12 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save NEW YORK, April 14, 2020 PRNewswire Computer Vision Market Research Report Component Hardware, Services, Software, Application Automotive Transportation, Consumer Goods Retail, Gaming, Sports Entertainments, Healthcare, Industrial Automation Global Forecast 2025 Cumulative Impact COVID19Read report: Global Computer Vision Market expected grow USD 11,981.88 Million 2019 USD 19,398.97 Million end 2025 Compound Annual Growth Rate CAGR 8.36.Market Segmentation Coverage:This research report categorizes Computer Vision forecast revenues analyze trends following submarkets:The Services projected witness highest growth forecast periodOn basis Component, Computer Vision Market studied Hardware, Services, Software. The Hardware commanded largest size Computer Vision Market 2019. On hand, Services expected grow fastest CAGR forecast period.The Automotive Transportation projected witness highest growth forecast periodOn basis Application, Computer Vision Market studied Automotive Transportation, Consumer Goods Retail, Gaming, Sports Entertainments, Healthcare, Industrial Automation, Security Surveillance. The Industrial Automation commanded largest size Computer Vision Market 2019. On hand, Automotive Transportation expected grow fastest CAGR forecast period.The AsiaPacific projected witness highest growth forecast periodOn basis Geography, Computer Vision Market studied Americas, AsiaPacific, Europe, Middle East Africa. The Americas region studied Argentina, Brazil, Canada, Mexico, United States. The AsiaPacific region studied Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, Thailand. The Europe, Middle East Africa region studied France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, United Kingdom. The Americas commanded largest size Computer Vision Market 2019. On hand, AsiaPacific expected grow fastest CAGR forecast period.Company Usability Profiles:The report deeply explores recent significant developments leading vendors innovation profiles Global Computer Vision Market including Allied Vision Technologies GmbH, Basler AG, Blipper, Cisco Systems, Cortexica Vision Systems Ltd, Daimler AG, DATAIKU, Denso Corporation, Facebook ., GENERAL ELECTRIC, Image Metrics ., Image Sensing Systems, ., Infineon Technologies AG, Intel Corporation, Microsoft Corporation, Mobileye NV, NVIDIA Corporation, Occipital, ., Orbital Insight, Rethink Robotics, Unity Technologies.FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates categorizes vendors Computer Vision Market basis Business Strategy Business Growth, Industry Coverage, Financial Viability, Channel Support Product Satisfaction Value Money, Ease Use, Product Features, Customer Support aids businesses better decision making understanding competitive landscape.Competitive Strategic Window:The Competitive Strategic Window analyses competitive landscape terms markets, applications, geographies. The Competitive Strategic Window helps vendor define alignment fit capabilities opportunities future growth prospects. During forecast period, defines optimal favorable fit vendors adopt successive merger acquisition strategies, geography expansion, research development, new product introduction strategies execute business expansion growth.The report provides insights following pointers:1. Market Penetration: Provides comprehensive information sulfuric acid offered key players2. Market Development: Provides indepth information lucrative emerging markets analyzes markets3. Market Diversification: Provides detailed information new product launches, untapped geographies, recent developments, investments4. Competitive Assessment Intelligence: Provides exhaustive assessment market shares, strategies, products, manufacturing capabilities leading players5. Product Development Innovation: Provides intelligent insights future technologies, RD activities, new product developmentsThe report answers questions as:1. What market size forecast Global Computer Vision Market?2. What inhibiting factors impact analysis shaping Global Computer Vision Market forecast period?3. What competitive position vendors Global Computer Vision Market?4. How Porters Five Forces define Global Computer Vision Market landscape?5. What technology trends regulatory frameworks Global Computer Vision Market?6. Which productssegmentsapplicationsareas invest forecast period Global Computer Vision Market?7. What competitive strategic window opportunities Global Computer Vision Market?8. What modes strategic moves considered suitable entering Global Computer Vision Market?Read report: ReportlinkerReportLinker awardwinning market research solution. Reportlinker finds organizes latest industry data market research need instantly, place.__________________________ Clare: clare 3393686001Intl: 1 3393686001 Recommended Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed public comments company affiliated companies. Please note clicking Post acknowledge read TERMS OF USE comment posting compliance terms. Your comments air. Be polite. Inappropriate posts posts containing offsite links, images, GIFs, inappropriate language, memes removed moderator. Job listings similar posts likely automated SPAM messages Facebook placed WFMZTV. Facebook Twitter YouTube Instagram Email Right Now 54 Broken Clouds Humidity: 41 Cloud Coverage:76 Wind: 12 mph UV Index: 7 High Sunrise: 06:23:55 AM Sunset: 07:40:58 PM Today Cooler yesterday clouds sun. Tonight Mostly cloudy bit rain times, mixing snow north. Tomorrow A little rain early, mainly south east, clouds breaking sun. More Newsroom Santa uses Christmas magic distract people COVID19 Exeter police adjusting amid ongoing COVID19 crisis Bethlehem man, 79, dies April 10 Stocks end higher traders hope restrictions ease Food bank facing challenges COVID19 pandemic Health Beat: Back horse: Rebuilding girls nose Some lawmakers want NJ governor reconsider decision close state, county parks East Stroudsburg University building temporary hospital Sams Club offers hero hours frontline workers NJ COVID19 death toll climbs 2800 More Newsroom Most Popular Articles Images Videos ArticlesTuesday coronavirus update: 1,146 new cases, 60 deaths PennsylvaniaWolf: Pa. 1st 3phase coronavirus approachPa., Northeastern states coordinate plan reopen deal outbreakHealth secretary: Pa. bent curve new COVID19 casesPa. residents work begin getting extra 600 federal unemployment benefits weekCatasauqua woman says brothers ashes taken doorstepLocal salon offering curbside service hair productsB. Braun gets federal approval device treat coronavirus patientsMan shot multiple times Reading; shooter largeBerks launches campaign Stop Spread virus Images Videos Sections Home Traffic Sports Video Entertainment Features Community Business Shop Obits Services Calendar Mobile Free Apps Email Alerts Text Alerts Weather Stormcenter Worship Application Stormcenter School Business Application FCC Public File Facebook Twitter YouTube Instagram Email 300 East Rock Road Allentown, PA 18103 Phone: 610.797.4530 Email: news @ WFMZ . com WFMZTV 69 News provides news, weather, traffic, sports family programming Lehigh Valley, Berks County, Southeastern Pa., Poconos Western NJ including Allentown, Bethlehem, Easton, Reading, Kutztown, Emmaus, Quakertown, Stroudsburg, Philadelphia, Jim Thorpe, Doylestown, Phillipsburg, Flemington, Wilmington, Newark. This website intended users located European Economic Area. 2020, Maranatha Broadcasting Company, . Terms Use Powered BLOX Content Management System . 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https://thedailyphiladelphian.com/uncategorized/356212/artificial-intelligence-market-incredible-possibilities-growth-analysis-and-forecast-to-2026/
2020-11-24T00:00:00
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Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026 – The Daily Philadelphian
Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026 – The Daily Philadelphian Skip to content Tue. Nov 24th, 2020 The Daily Philadelphian Market Research Emerging Trends Market Reports All news Contact All news Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026 Bymangesh Nov 24, 2020 ARTIFICIAL INTELLIGENCE MARKET, Artificial Intelligence Market Analysis, Artificial Intelligence Market Demand, Artificial Intelligence Market Industry, Artificial Intelligence Market Size, Covid Impact Analysis on Artificial Intelligence market The research offers a comprehensive analysis of the “Artificial Intelligence Market”. Bringing out the complete key insights of the industry, the report aims to provide an insight into the latest trends, current market scenario, and technologies related to the market. In addition, it helps the venture capitalists to understand the revenue opportunities across different segments to make better decisions. Global Artificial Intelligence market provides a detailed report which covers market analyses before COVID19 & opportunities after this pandemic. With COVID-19 pandemic, many industries are transforming rapidly. The Global Artificial Intelligence Market is one of the major industries undergoing changes. This year many industries have vanished entirely from the market and many industries have risen. Moreover, the government-backed schemes throughout the globe are offering many advantages to businesses. As the governing bodies are supporting the industries, it be a strong pillar to support the market growth of Artificial Intelligence in the upcoming decade (2020-2026). Organizations planning to move into new market segments can take the help of market indicators to draw a business plan. With the technological boom, new markets are blossoming across the globe, making it a breeding ground for new businesses. Request for Sample with Complete TOC and Figures & Graphs @ https://www.in4research.com/sample-request/118 Global Artificial Intelligence Market 2020: Covering both the industrial and the commercial aspects of the Global Artificial Intelligence Market, the report encircles several crucial chapters that give the report an extra edge. The Global Artificial Intelligence Market report deep dives into several parts of the report that plays a crucial role in getting the holistic view of the report. The list of such crucial aspects of the report includes company profile, industry analysis, competitive dashboard, comparative analysis of the key players, regional analysis with further analysis country wise. Global Artificial Intelligence Market Analysis by Key Players: IBM Intel Nuance Communications IFLYTEK Microsoft Salesforce ZTE Corporation Infosys Limited H2O.ai Moreover, one of the uniqueness in the report is that it also covers the country-level analysis of the regulatory scenario, technology penetration, predictive trends, and prescriptive trends. This not only gives the readers of the report the actual real-time insights but also gives country-wise analysis, that plays a vital role in decision making. The inclusion of the report is not limited to the above mention key pointers. The report also emphasizes on the market opportunities, porters five forces, and analysis of the different types of products and application of the Global Artificial Intelligence Market. The report splits by major applications: Network Optimization Network Security Customer Analytics Others  Then report analyzed by types: Customer Analytics Network Security Network Optimization Others  Any questions or want to Customization on this report, just speak with analyst @ https://www.in4research.com/speak-to-analyst/118 Global Artificial Intelligence Market Report is a professional and in-depth research report on the world’s major regional market conditions of the Artificial Intelligence industry, focusing on the main regions and the main countries as Follows: North America (US and Canada) Europe (UK, Germany, France, and Rest of Europe) Asia Pacific (China, Japan, India, and Rest of Asia Pacific) Latin America (Brazil, Mexico, and Rest of Latin America) Middle East & Africa (GCC and Rest of Middle East & Africa) COVID-19 Impact on Artificial Intelligence Market: The outbreak of COVID-19 has brought along a global recession, which has impacted several industries. Along with this impact COVID Pandemic has also generated few new business opportunities for Artificial Intelligence Market. Overall competitive landscape and market dynamics of Artificial Intelligence has been disrupted due to this pandemic. All these disruptions and impacts has been analysed quantifiably in this report, which is backed by market trends, events and revenue shift analysis. COVID impact analysis also covers strategic adjustments for Tier 1, 2 and 3 players of Artificial Intelligence Market. Get Brief Information on Pre COVID-19 Analysis and Post COVID-19 Opportunities in Artificial Intelligence Market @ https://www.in4research.com/impactC19-request/118 Table of Contents Includes Major Pointes as follows: Artificial Intelligence Market Overview Global Artificial Intelligence Market Competition by Manufacturers Global Artificial Intelligence Capacity, Production, Revenue (Value) by Region (2014-2019) Global Artificial Intelligence Supply (Production), Consumption, Export, Import by Region (2014-2019) Global Artificial Intelligence Production, Revenue (Value), Price Trend by Type Global Artificial Intelligence Market Analysis by Application Global Artificial Intelligence Manufacturers Profiles/Analysis Artificial Intelligence Manufacturing Cost Analysis Industrial Chain, Sourcing Strategy and Downstream Buyers Marketing Strategy Analysis, Distributors/Traders Market Effect Factors Analysis Global Artificial Intelligence Market Forecast (2019-2026) Research Findings and Conclusion Appendix Post navigation Global Elearning Market 2026 Trends Forecast Analysis by Manufacturers, Regions, Type and Application By mangesh Related Post All news Global Elearning Market 2026 Trends Forecast Analysis by Manufacturers, Regions, Type and Application Nov 24, 2020 mangesh All news Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Nov 24, 2020 mangesh All news Ash Fusion Testers Market Expected to Witness High Growth over the Forecast to 2020 – 2026 Nov 24, 2020 marketing Recent Posts Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026 Global Elearning Market 2026 Trends Forecast Analysis by Manufacturers, Regions, Type and Application Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Ash Fusion Testers Market Expected to Witness High Growth over the Forecast to 2020 – 2026 Amlodipine Maleate Market Expected to Witness High Growth over the Forecast to 2026 You missed All news Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026 Nov 24, 2020 mangesh All news Global Elearning Market 2026 Trends Forecast Analysis by Manufacturers, Regions, Type and Application Nov 24, 2020 mangesh All news Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Nov 24, 2020 mangesh All news Ash Fusion Testers Market Expected to Witness High Growth over the Forecast to 2020 – 2026 Nov 24, 2020 marketing The Daily Philadelphian Proudly powered by WordPress | Theme: Newsup by Themeansar. 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Artificial Intelligence Market Incredible Possibilities, Growth Analysis and Forecast To 2026
Artificial Intelligence Market redible Possibilities, Growth Analysis Forecast To 2026 The Daily Philadelphian Skip content Tue. Nov 24th, 2020 The Daily Philadelphian Market Research Emerging Trends Market Reports All news All news Artificial Intelligence Market redible Possibilities, Growth Analysis Forecast To 2026 Bymangesh Nov 24, 2020 ARTIFICIAL INTELLIGENCE MARKET, Artificial Intelligence Market Analysis, Artificial Intelligence Market Demand, Artificial Intelligence Market Industry, Artificial Intelligence Market Size, Covid Impact Analysis Artificial Intelligence market The researchoffers comprehensive analysis Artificial IntelligenceMarket. Bringing complete key insights industry, report aims provide insight latest trends, current market scenario, technologies related market. In addition, helps venture capitalists understand revenue opportunities different segments better decisions. Global Artificial Intelligence market provides detailed report covers market analyses COVID19 opportunities pandemic. With COVID19 pandemic, industries transforming rapidly. The Global Artificial Intelligence Market major industries undergoing changes. This year industries vanished entirely market industries risen. Moreover, governmentbacked schemes globe offering advantages businesses. As governing bodies supporting industries, strong pillar support market growth Artificial Intelligence upcoming decade 20202026. Organizations planning new market segments help market indicators draw business plan. With technological boom, new markets blossoming globe, making breeding ground new businesses. Request Sample Complete TOC Figures Graphs @ Global Artificial Intelligence Market 2020: Covering industrial commercial aspects Global Artificial Intelligence Market, report encircles crucial chapters report extra edge. The Global Artificial Intelligence Market report deep dives parts report plays crucial role getting holistic view report. The list crucial aspects report includes company profile, industry analysis, competitive dashboard, comparative analysis key players, regional analysis analysis country wise. Global Artificial Intelligence Market Analysis Key Players: IBM Intel Nuance Communications IFLYTEK Microsoft Salesforce ZTE Corporation Infosys Limited H2O.ai Moreover, uniqueness report covers countrylevel analysis regulatory scenario, technology penetration, predictive trends, prescriptive trends. This gives readers report actual realtime insights gives countrywise analysis, plays vital role decision making. The inclusion report limited mention key pointers. The report emphasizes market opportunities, porters forces, analysis different types products application Global Artificial Intelligence Market. The report splits major applications: Network Optimization Network Security Customer Analytics Others Then report analyzed types: Customer Analytics Network Security Network Optimization Others Any questions want Customization report, speak analyst @ Global Artificial Intelligence Market Report professional indepth research report worlds major regional market conditions Artificial Intelligence industry, focusing main regions main countries Follows: North America US Canada Europe UK, Germany, France, Rest Europe Asia Pacific China, Japan, India, Rest Asia Pacific Latin America Brazil, Mexico, Rest Latin America Middle East Africa GCC Rest Middle East Africa COVID19 Impact Artificial Intelligence Market: The outbreak COVID19 brought global recession, impacted industries. Along impact COVID Pandemic generated new business opportunities Artificial Intelligence Market. Overall competitive landscape market dynamics Artificial Intelligence disrupted pandemic. All disruptions impacts analysed quantifiably report, backed market trends, events revenue shift analysis. COVID impact analysis covers strategic adjustments Tier 1, 2 3 players Artificial Intelligence Market. Get Brief Information Pre COVID19 Analysis Post COVID19 Opportunities Artificial Intelligence Market @ Table Contents ludes Major Pointes follows: Artificial Intelligence Market Overview Global Artificial Intelligence Market Competition Manufacturers Global Artificial Intelligence Capacity, Production, Revenue Value Region 20142019 Global Artificial Intelligence Supply Production, Consumption, Export, Import Region 20142019 Global Artificial Intelligence Production, Revenue Value, Price Trend Type Global Artificial Intelligence Market Analysis Application Global Artificial Intelligence Manufacturers ProfilesAnalysis Artificial Intelligence Manufacturing Cost Analysis Industrial Chain, Sourcing Strategy Downstream Buyers Marketing Strategy Analysis, DistributorsTraders Market Effect Factors Analysis Global Artificial Intelligence Market Forecast 20192026 Research Findings Conclusion Appendix Post navigation Global Elearning Market 2026 Trends Forecast Analysis Manufacturers, Regions, Type Application By mangesh Related Post All news Global Elearning Market 2026 Trends Forecast Analysis Manufacturers, Regions, Type Application Nov 24, 2020 mangesh All news Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Nov 24, 2020 mangesh All news Ash Fusion Testers Market Expected Witness High Growth Forecast 2020 2026 Nov 24, 2020 marketing Recent Posts Artificial Intelligence Market redible Possibilities, Growth Analysis Forecast To 2026 Global Elearning Market 2026 Trends Forecast Analysis Manufacturers, Regions, Type Application Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Ash Fusion Testers Market Expected Witness High Growth Forecast 2020 2026 Amlodipine Maleate Market Expected Witness High Growth Forecast 2026 You missed All news Artificial Intelligence Market redible Possibilities, Growth Analysis Forecast To 2026 Nov 24, 2020 mangesh All news Global Elearning Market 2026 Trends Forecast Analysis Manufacturers, Regions, Type Application Nov 24, 2020 mangesh All news Connected Car Market Forecast To 2026 With Key Companies Profile, Supply, Demand, Cost Structure, And SWOT Analysis Nov 24, 2020 mangesh All news Ash Fusion Testers Market Expected Witness High Growth Forecast 2020 2026 Nov 24, 2020 marketing The Daily Philadelphian Proudly powered WordPress Theme: Newsup Themeansar. 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http://www.productivityapps.itbusinessnet.com/2020/07/artificial-intelligence-data-evaluations-identify-35-gold-target-areas-on-btu-red-lake-property/?utm_source=rss&utm_medium=rss&utm_campaign=artificial-intelligence-data-evaluations-identify-35-gold-target-areas-on-btu-red-lake-property
2020-07-21T00:00:00
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Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property | | IT Business Net
Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property | | IT Business Net Skip to content IT Business Net News for IT Professionals Primary Menu IT Business Net Search for: Home2020JulyArtificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property News Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property Highlights Initial AI data analysis completed on 67 square kilometres of the Dixie Halo property yield 35 new high priority gold target areas that warrant follow-up evaluation Property covers nearly 200 square kilometres and is largely overburden covered and only sparsely explored in most areas to date. Additional data processing and AI investigations are continuing for the areas not yet completed Site visits are underway on a number of the target areas with one area found to contain previously unreported quartz veins containing disseminated pyrite and minor chalcopyrite, an environment favourable for hosting gold mineralization Other exploration efforts including till sampling and geophysics are also underway VANCOUVER, BC / ACCESSWIRE / July 21, 2020 / BTU METALS CORP. (“BTU” or the “Company”) (TSX:V:BTU) today provides an update about the early, positive results received from ongoing Windfall Geotek (“Windfall”) work using their proprietary ‘CARDS’ Artificial Intelligence (“AI”) system to identify high-grade gold targets. The Company is pursuing both high-grade gold targets and copper-dominant massive sulfide targets on its 200 square kilometre property that shares a 35 kilometre border with Great Bear Resources Ltd (“Great Bear”). The property is 25 kilometres southeast of Red Lake, Ontario in an area with excellent access and infrastructure. To date roughly one-third of the property area has been analyzed, from which 35 high priority targets have been identified at a high correlation rate with known gold mineralization. Validation and follow-up investigation of the targets is being conducted by BTU geologists BTU recently contracted Windfall to assist with the targeting of high-grade gold at Dixie Halo using their proprietary state-of-the-art AI system. Modern mineral exploration programs yield high volumes of complex data which can be difficult for humans to find patterns in. AI works by using pattern recognition and computational learning theory on a subset of data to solve classification or prediction problems, thus allowing it to make inferences and decisions on the rest of the dataset. The Red Lake gold district has an abundance of known gold deposits and showings as well as publicly available geoscience datasets which makes it an ideal location to apply AI for identifying gold exploration targets. Paul Wood, BTU CEO, said, “The early identification of so many high priority targets using Windfall’s proprietary AI is very encouraging. Our property position is one of the largest in Red Lake and covers nearly 200 square kilometres. Most of the potentially gold bearing rock units are covered with overburden so additional tools and techniques can be particularly effective. This new layer of AI targeting is now being incorporated into the mix as we attempt to vector in on the areas with the highest gold potential. We already have 35 new targets and we expect more to be outlined as the AI work is expanded to cover the entire property”. Windfall used two distinct models in their investigation, one was trained using data from the Madsen Mine, and the other was trained with the addition of data from GBR’s neighbouring Dixie discoveries. The Madsen model identified sixteen, and the Great Bear model identified nineteen highly prospective gold targets on the portion of the BTU property which was assessed (see Figure 1). Learn more about the geologic context of these gold target areas at www.btumetals.com/aitargets Nathan Tribble, P.Geo., Director of Windfall Geotek states: “It is extremely encouraging and exciting to see the CARDS AI analysis identify multiple targets within favorable ground once again in the Red Lake mining camp. Utilizing both Madsen and Dixie datasets provides BTU with the highest probability of finding similar mineralization on their property in Red Lake. We look forward to continuing our work with BTU and delivering the second set of targets of their project in the near future”. Figure 1: AI generated gold targets on the BTU Metals property Validation and follow-up investigation of the AI generated gold targets is underway by the Company’s geological team. The highest priority targets are expected to be drill-ready later this summer. Windfall Identifies High-Grade Gold Targets on BTU Metals Corp. Ground Windfall is an Artificial Intelligence company that has been in business for over 15 years developing its proprietary CARDS analysis (AI) and data mining techniques. It combines available public and private datasets including geophysical, drill hole and surface data. The algorithms designed and employed by Windfall are designed to highlight areas of interest that have the potential to be geologically similar to other gold deposits and mineralization in the Red Lake region. Windfall has played a part in numerous past discoveries utilizing its methodology as described at: https://windfallgeotek.com/. Windfall has already identified 35 targets on BTU property based on public and initial BTU proprietary data. The Windfall and BTU teams will continue to work together to confirm these initial AI targets and expect to supplement these initial AI targets with more targets as the evaluation process continues. The Company’s exploration work at its Red Lake, Ontario projects remains largely on schedule with no major disruption due to the COVID-19 government guidelines. The Company continues to monitor this situation, continues to be careful to conduct all work in compliance with COVID-19 guidelines and will adjust its activities and timelines as deemed appropriate. Bruce Durham, P. Geo., a qualified person as defined by National Instrument 43-101 has reviewed and approved the technical information in this press release. ON BEHALF OF THE BOARD “Paul Wood“ Paul Wood, CEO, [email protected] FOR FURTHER INFORMATION, PLEASE CONTACT: Andreas Curkovic, Investor Relations +1 416-577-9927 BTU Metals Corp. Telephone: 1-604-683-3995 Toll Free: 1-888-945-4770 Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release. FORWARD-LOOKING STATEMENTS: This news release contains forward-looking statements, which relate to future events or future performance and reflect management’s current expectations and assumptions. Such forward-looking statements reflect management’s current beliefs and are based on assumptions made by and using information currently available to the Company. Investors are cautioned that these forward-looking statements are neither promises nor guarantees, and they are subject to risks and uncertainties that may cause future results to differ materially from those expected. These forward-looking statements are made as of the date hereof and, except as required under applicable securities legislation, the Company does not assume any obligation to update or revise them to reflect new events or circumstances. All forward-looking statements made in this press release are qualified by these cautionary statements and by those made in our filings with SEDAR in Canada (available at WWW.SEDAR.COM). SOURCE: BTU METALS CORP. View source version on accesswire.com: https://www.accesswire.com/598259/Artificial-Intelligence-Data-Evaluations-Identify-35-Gold-Target-Areas-on-BTU-Red-Lake-Property Continue Reading Previous Black Tusk Resources Inc. 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Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas on BTU Red Lake Property
Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas BTU Red Lake Property IT Business Net Skip content IT Business Net News IT Professionals Primary Menu IT Business Net for: Home2020JulyArtificial Intelligence Data Evaluations Identify 35 Gold Target Areas BTU Red Lake Property News Artificial Intelligence Data Evaluations Identify 35 Gold Target Areas BTU Red Lake Property Highlights Initial AI data analysis completed 67 square kilometres Dixie Halo property yield 35 new high priority gold target areas warrant followup evaluation Property covers nearly 200 square kilometres largely overburden covered sparsely explored areas date. Additional data processing AI investigations continuing areas completed Site visits underway number target areas area contain previously unreported quartz veins containing disseminated pyrite minor chalcopyrite, environment favourable hosting gold mineralization Other exploration efforts including till sampling geophysics underway VANCOUVER, BC ACCESSWIRE July 21, 2020 BTU METALS CORP. BTU Company TSX:V:BTU today provides update early, positive results received ongoing Windfall Geotek Windfall work proprietary CARDS Artificial Intelligence AI identify highgrade gold targets. The Company pursuing highgrade gold targets copperdominant massive sulfide targets 200 square kilometre property shares 35 kilometre border Great Bear Resources Ltd Great Bear. The property 25 kilometres southeast Red Lake, Ontario area excellent access infrastructure. To date roughly onethird property area analyzed, 35 high priority targets identified high correlation rate known gold mineralization. Validation followup investigation targets conducted BTU geologists BTU recently contracted Windfall assist targeting highgrade gold Dixie Halo proprietary stateoftheart AI system. Modern mineral exploration programs yield high volumes complex data difficult humans patterns in. AI works pattern recognition computational learning theory subset data solve classification prediction problems, allowing inferences decisions rest dataset. The Red Lake gold district abundance known gold deposits showings publicly available geoscience datasets makes ideal location apply AI identifying gold exploration targets. Paul Wood, BTU CEO, said, The early identification high priority targets Windfalls proprietary AI encouraging. Our property position largest Red Lake covers nearly 200 square kilometres. Most potentially gold bearing rock units covered overburden additional tools techniques particularly effective. This new layer AI targeting incorporated mix attempt vector areas highest gold potential. We 35 new targets expect outlined AI work expanded cover entire property. Windfall distinct models investigation, trained data Madsen Mine, trained addition data GBRs neighbouring Dixie discoveries. The Madsen model identified sixteen, Great Bear model identified nineteen highly prospective gold targets portion BTU property assessed Figure 1. Learn geologic context gold target areas Nathan Tribble, P.Geo., Director Windfall Geotek states: It extremely encouraging exciting CARDS AI analysis identify multiple targets favorable ground Red Lake mining camp. Utilizing Madsen Dixie datasets provides BTU highest probability finding similar mineralization property Red Lake. We look forward continuing work BTU delivering second set targets project near future. Figure 1: AI generated gold targets BTU Metals property Validation followup investigation AI generated gold targets underway Companys geological team. The highest priority targets expected drillready later summer. Windfall Identifies HighGrade Gold Targets BTU Metals Corp. Ground Windfall Artificial Intelligence company business 15 years developing proprietary CARDS analysis AI data mining techniques. It combines available public private datasets including geophysical, drill hole surface data. The algorithms designed employed Windfall designed highlight areas potential geologically similar gold deposits mineralization Red Lake region. Windfall played numerous past discoveries utilizing methodology described at: Windfall identified 35 targets BTU property based public initial BTU proprietary data. The Windfall BTU teams continue work confirm initial AI targets expect supplement initial AI targets targets evaluation process continues. The Companys exploration work Red Lake, Ontario projects remains largely schedule major disruption COVID19 government guidelines. The Company continues monitor situation, continues careful conduct work compliance COVID19 guidelines adjust activities timelines deemed appropriate. Bruce Durham, P. Geo., qualified person defined National Instrument 43101 reviewed approved technical information press release. ON BEHALF OF THE BOARD Paul Wood Paul Wood, CEO, Directorpwood FOR FURTHER INFORMATION, PLEASE CONTACT: Andreas Curkovic, Investor Relations 1 4165779927 BTU Metals Corp. Telephone: 16046833995 Toll Free: 18889454770 Neither TSX Venture Exchange Regulation Services Provider term defined policies TSX Venture Exchange accepts responsibility adequacy accuracy release. FORWARDLOOKING STATEMENTS: This news release contains forwardlooking statements, relate future events future performance reflect managements current expectations assumptions. Such forwardlooking statements reflect managements current beliefs based assumptions information currently available Company. Investors cautioned forwardlooking statements promises guarantees, subject risks uncertainties cause future results differ materially expected. These forwardlooking statements date hereof and, required applicable securities legislation, Company assume obligation update revise reflect new events circumstances. All forwardlooking statements press release qualified cautionary statements filings SEDAR Canada available WWW.SEDAR.COM. SOURCE: BTU METALS CORP. View source version : Continue Reading Previous Black Tusk Resources . 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Global Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG – Dagoretti Market Reports
Global Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG – Dagoretti Market Reports Skip to content Sunday, April 19, 2020 About Contact Contributors Terms and Conditions Privacy Policy Dagoretti Market Reports Science News and Reporting Home Industry Growth Market Forecast Market Outlook Market Reports Market Sales Market Share Contact You are hereHomeOtherGlobal Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG Other  Global Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG April 19, 2020 Pramod Lohgaonkar Australia Big Data and Data Engineering Services Market, Big Data and Data Engineering Services, Big Data and Data Engineering Services Industry Analysis, Big Data and Data Engineering Services Market 2020, Big Data and Data Engineering Services Market Analysis, Big Data and Data Engineering Services Market Research Report, Big Data and Data Engineering Services Trends, Canada Big Data and Data Engineering Services Market, Europe Big Data and Data Engineering Services Market, France Big Data and Data Engineering Services Market, Global Big Data and Data Engineering Services Market, Mexico Big Data and Data Engineering Services Market, United Kingdom Big Data and Data Engineering Services Market, United State Big Data and Data Engineering Services Market Big Data and Data Engineering Services Market is expected to reach the US $90.10 Bn. by 2026 at a CAGR of 50% during the forecast period. Big Data Engineering services enable organizations for business decision making, data transition, and leveraging of AI. Major growth drivers for the big data and data engineering services market include increasing volumes of unstructured data due to cost-effective services, the phenomenal growth of interconnected devices and social media, an increasing need for complying with stringent regulations, and cutting-edge expertise rendered by boutique data servicing companies. Data diversity, security, and privacy are some of the challenges for big data and data engineering service market. Restraining factor for the big data and data engineering services market is the inability of a service provider to provide real-time insights. Big data and data engineering services market are segmented by service type, business function, industry vertical and region. Among service type, the data integration services segment is likely to reach at the highest CAGR during the forecast period, owing to an increase in the need for integrating data from disparate data sources across organizations. Request a sample report of Big Data and Data Engineering Services Market Research Report @ https://martresearch.com/contact/request-sample/3/6621 Big Data and Data Engineering Services Market Research Report by Service Type: Data modeling Data integration Data quality Analytics Big Data and Data Engineering Services Market Research Report by Organization Size: Small and Medium-sized Enterprises (SMEs) Large Enterprises While using a business function, the marketing and sales business function is expected to grow at the highest CAGR during the forecast period. The rise in the need for sales department and marketing to analyze and monitor various sales and marketing data for gaining insights on retainment and customer acquisition. This factor is expected to drive the growth of the marketing and sales business function during the forecast period. Big Data and Data Engineering Services Market Research Report by Business Function: Marketing and sales Operations Finance Human Resources (HR) In big data and data engineering services market, the retail and eCommerce industry vertical is expected to account for the highest growth rate during the forecast period, owing to an increase in the need for maintaining their records, managing the growing data from various customers, and analyzing data to gain insights. Big Data and Data Engineering Services Market Research Report by Industry: Banking, Financial Services, and Insurance (BFSI) Retail and eCommerce Healthcare and Life Sciences Manufacturing Government Media and telecom Others (Travel and Hospitality, Transportation and Logistics, and Energy and Utilities) To Make an Inquiry before Buying Big Data and Data Engineering Services Market Research Report @ https://martresearch.com/contact/enquiry/3/6621 Based on region, big data and data engineering services market is classified into North America, Asia Pacific, Latin America, Middle East, and Africa, Europe. Among these, North America is likely to hold the larger big data and data engineering services market share during the forecast period. North America is advanced in terms of infrastructure and technology adoption. Major key players of big data and data engineering services market are present in North America. However, the Asia Pacific is expected to grow at the highest CAGR during the forecast period. An increase in government initiatives such as smart cities in the Asia Pacific including India and China and adoption of big data technologies, Owing to this factor the demand for the big data and data engineering services market is expected to increase in APAC during the forecast period. Big Data and Data Engineering Services Market by Region: North America (U.S, Canada) Europe (Germany, U.K., France, Italy, Spain, Rest of Europe RoE) Asia-Pacific (India, Japan, China, ASEAN, Rest of Asia-Pacific) Middle East & Africa (GCC, South Africa and Rest of Middle East & Africa) Latin America (Brazil, Mexico and Rest of South America) Some of the key players are Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG etc. Key Players in Big Data and Data Engineering Services Market : Accenture Genpact Cognizant Infosys Capgemini NTT DATA Mphasis L&T Technology Services Hexaware Happiest Minds KPMG EY Tiger Analytics LatentView Analytics InfoStretch Vensai Technologies Course5 Sigmoid Nous Infosystems Bodhtree Hidden Brains InfoTech Brillio Franz Inc. BRIDGEi2i Trianz To Buy Big Data and Data Engineering Services Market Research Report @ https://martresearch.com/paymentform/3/6621/Single_User Table of content for Big Data and Data Engineering Services Market Research Report: Chapter One: Big Data and Data Engineering Services Market Chapter Two: Assumptions and Research Methodology Chapter Three: Executive Summary Chapter Four: Market Overview Chapter Five: Big Data and Data Engineering Services Market Analysis and Forecast Chapter Six: Big Data and Data Engineering Services Market Analysis and Forecast, by Service Type Chapter Seven: Big Data and Data Engineering Services Market Analysis and Forecast, by Business Function Chapter Eight: Big Data and Data Engineering Services Market Analysis and Forecast, by Organization Size Chapter Nine: Big Data and Data Engineering Services Market Analysis and Forecast, by Industry Vertical Chapter Ten: Big Data and Data Engineering Services Market Analysis, by Region Chapter Eleven: North America Big Data and Data Engineering Services Market Analysis Chapter Twelve: Europe Big Data and Data Engineering Services Market Analysis Chapter Thirteen: Asia Pacific Big Data and Data Engineering Services Market Analysis Chapter Fourteen: Middle East & Africa Big Data and Data Engineering Services Market Analysis Chapter Fifteen: Latin America Big Data and Data Engineering Services Market Analysis Chapter Sixteen: Company Profiles Chapter Seventeen: Primary Key Insights Related reports The Big Data Market @ https://martresearch.com/market-analysis/The-Big-Data-Market:-2018-2030–Opportunities,-Challenges,-Strategies,-Industry-Verticals-&-Forecasts/3/5254 About us: Research is and will always be the key to success and growth for any industry. Most organizations invest a major chunk of their resources viz. time, money and manpower in research to achieve new breakthroughs in their businesses. The outcome might not always be as expected thereby arising the need for precise, factual and high-quality data backing your research. This is where MART RESEARCH steps in and caters its expertise in the domain of market research reports to industries across varied sectors. Contact Info: Name: Sandip B Khanapurkar Email: Send Email Organization: Mart Research Address: 5708-Copper Creek Court, Charlotte, North Carolina 28227, USA Phone: +1-857-300-1122 Website: https://martresearch.com/market-analysis/big-data-and-data-engineering-services-market:-2019-2026-industry-research-and-analysis-report/3/6621 Author Recent Posts Pramod LohgaonkarDigital Marketing Manager at Mart ResearchWe, at MART RESEARCH value your time the most as we believe that time saved is directly proportional to profits earned. Before launching ourselves into this service, we did an extensive survey to understand the challenges clients face while gaining access to authentic data reports. Latest posts by Pramod Lohgaonkar (see all) Global Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG - April 19, 2020 Global Industrial Internet of Things (IIoT) Market Report 2020 – Corning Incorporated, ABB Ltd., Cisco Systems, Inc., General Electric Company, Siemens AG, Rockwell Automation, Inc., IBM Corporation, Microsoft Corporation, ARM Ltd., Intel Corporation - April 19, 2020 Global Poly Aluminium Ferric Chloride (PAFC) Market Analysis 2015-2019 and Forecast 2020-2025: Size, Share, Growth Rate, Revenue, Applications, Industry Demand - February 7, 2020 Post navigation Blockchain in Manufacturing Market has Eventually Become AttractiveBuilding Maintenance Services Market: Growth rate and Business Opportunities by key players – Compass GROUP, Millennium Building Services, General Building Maintenance Related posts Building Maintenance Services Market: Growth rate and Business Opportunities by key players – Compass GROUP, Millennium Building Services, General Building Maintenance April 19, 2020 ReportOcean.comBUILDING MAINTENANCE SERVICES Market, BUILDING MAINTENANCE SERVICES Market Analysis, BUILDING MAINTENANCE SERVICES Market Growth, BUILDING MAINTENANCE SERVICES Market Scope, BUILDING MAINTENANCE SERVICES Market Share, BUILDING MAINTENANCE SERVICES Market Trend Global Building Maintenance Services Market research report presents a comprehensive overview, market shares, and growth opportunities... Rear-View Mirror Market Size 2019 By Top Key Players, By Type and Application, Forecast to 2025 April 19, 2020 [email protected]Rear-View Mirror Market, Rear-View Mirror Market Share, Rear-View Mirror Market Size, Rear-View Mirror Market Trends Global Rear-View Mirror Market valued approximately USD 9.95 billion in 2016 is forecasted to grow with... Other  Global DIN Rail Industrial PC Market 2019 Key Business Strategies – Advantech, Beckhoff Automation, Kontron, Rockwell Automation April 19, 2020 davidGlobal DIN Rail Industrial PC Market 2019, Global DIN Rail Industrial PC Market Analysis, Global DIN Rail Industrial PC Market Growth, Global DIN Rail Industrial PC Market Outlook Industrial PCs are used for data acquisition and process control in industries and sectors. Fior Markets... Recent Posts Building Maintenance Services Market: Growth rate and Business Opportunities by key players – Compass GROUP, Millennium Building Services, General Building Maintenance Global Big Data and Data Engineering Services Market Report 2020 – Infosys, Capgemini, NTT DATA, Mphasis, L&T Technology Services, Hexaware, Happiest Minds, KPMG Blockchain in Manufacturing Market has Eventually Become Attractive Telecom Application Program Interface Market – Opportunity Ahead of Earnings Rear-View Mirror Market Size 2019 By Top Key Players, By Type and Application, Forecast to 2025 Global Dissolved Air Flotation Systems Market 2019 Key Business Strategies – Ecologix Environmental Systems Global Disposable Undergarment Market 2019 Key Business Strategies – Break Room Concepts, Dispowear Sterite Company Global Disposable Slippers Market 2019 Key Business Strategies – Appearus Products, Haon Group, Nicely Neat, Huini USA Beauty Global Disaster Recovery-as-a-Service (DRaaS) Market 2019 Key Business Strategies – Veeam Software, Bluelock Privacy, Zerto Global Direct-to-consumer Genetic Testing Market 2019 Key Business Strategies – 23andMe, LabCorp, Myriad Genetics, Quest Diagnostics © All Right Reserved Proudly powered by WordPress | Theme: SuperNews by Acme Themes
Global Big Data and Data Engineering Services Market Report 2020
Global Big Data Data Engineering Services Market Report 2020 Infosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG Dagoretti Market Reports Skip content Sunday, April 19, 2020 About Contributors Dagoretti Market Reports Science News Reporting Home Industry Growth Market Forecast Market Outlook Market Reports Market Sales Market Share You hereHomeOtherGlobal Big Data Data Engineering Services Market Report 2020 Infosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG Other Global Big Data Data Engineering Services Market Report 2020 Infosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG April 19, 2020 Pramod Lohgaonkar Australia Big Data Data Engineering Services Market, Big Data Data Engineering Services, Big Data Data Engineering Services Industry Analysis, Big Data Data Engineering Services Market 2020, Big Data Data Engineering Services Market Analysis, Big Data Data Engineering Services Market Research Report, Big Data Data Engineering Services Trends, Canada Big Data Data Engineering Services Market, Europe Big Data Data Engineering Services Market, France Big Data Data Engineering Services Market, Global Big Data Data Engineering Services Market, Mexico Big Data Data Engineering Services Market, United Kingdom Big Data Data Engineering Services Market, United State Big Data Data Engineering Services Market Big Data Data Engineering Services Marketis expected reach US 90.10 Bn. 2026 CAGR 50 forecast period. Big Data Engineering services enable organizations business decision making, data transition, leveraging AI.Major growth drivers big data data engineering services market include increasing volumes unstructured data costeffective services, phenomenal growth interconnected devices social media, increasing need complying stringent regulations, cuttingedge expertise rendered boutique data servicing companies. Data diversity, security, privacy challenges big data data engineering service market. Restraining factor big data data engineering services market inability service provider provide realtime insights. Big data data engineering services market segmented service type, business function, industry vertical region. Among service type, data integration services segment likely reach highest CAGR forecast period, owing increase need integrating data disparate data sources organizations. Request sample report Big Data Data Engineering Services Market Research Report @ Big Data Data Engineering Services Market Research Report Service Type: Data modeling Data integration Data quality Analytics Big Data Data Engineering Services Market Research Report Organization Size: Small Mediumsized Enterprises SMEs Large Enterprises While business function, marketing sales business function expected grow highest CAGR forecast period. The rise need sales department marketing analyze monitor sales marketing data gaining insights retainment customer acquisition. This factor expected drive growth marketing sales business function forecast period. Big Data Data Engineering Services Market Research Report Business Function: Marketing sales Operations Finance Human Resources HR In big data data engineering services market, retail eCommerce industry vertical expected account highest growth rate forecast period, owing increase need maintaining records, managing growing data customers, analyzing data gain insights. Big Data Data Engineering Services Market Research Report Industry: Banking, Financial Services, Insurance BFSI Retail eCommerce Healthcare Life Sciences Manufacturing Government Media telecom Others Travel Hospitality, Transportation Logistics, Energy Utilities To Make Inquiry Buying Big Data Data Engineering Services Market Research Report @ Based region, big data data engineering services market classified North America, Asia Pacific, Latin America, Middle East, Africa, Europe. Among these, North America likely hold larger big data data engineering services market share forecast period. North America advanced terms infrastructure technology adoption. Major key players big data data engineering services market present North America. However, Asia Pacific expected grow highest CAGR forecast period. An increase government initiatives smart cities Asia Pacific including India China adoption big data technologies, Owing factor demand big data data engineering services market expected increase APAC forecast period. Big Data Data Engineering Services Market Region: North America U.S, Canada Europe Germany, U.K., France, Italy, Spain, Rest Europe RoE AsiaPacific India, Japan, China, ASEAN, Rest AsiaPacific Middle East Africa GCC, South Africa Rest Middle East Africa Latin America Brazil, Mexico Rest South America Some key players areInfosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG etc. Key Players Big Data Data Engineering Services Market : Accenture Genpact Cognizant Infosys Capgemini NTT DATA Mphasis LT Technology Services Hexaware Happiest Minds KPMG EY Tiger Analytics LatentView Analytics InfoStretch Vensai Technologies Course5 Sigmoid Nous Infosystems Bodhtree Hidden Brains InfoTech Brillio Franz . BRIDGEi2i Trianz To Buy Big Data Data Engineering Services Market Research Report @ Table content Big Data Data Engineering Services Market Research Report: Chapter One: Big Data Data Engineering Services Market Chapter Two: Assumptions Research Methodology Chapter Three: Executive Summary Chapter Four: Market Overview Chapter Five: Big Data Data Engineering Services Market Analysis Forecast Chapter Six: Big Data Data Engineering Services Market Analysis Forecast, Service Type Chapter Seven: Big Data Data Engineering Services Market Analysis Forecast, Business Function Chapter Eight: Big Data Data Engineering Services Market Analysis Forecast, Organization Size Chapter Nine: Big Data Data Engineering Services Market Analysis Forecast, Industry Vertical Chapter Ten: Big Data Data Engineering Services Market Analysis, Region Chapter Eleven: North America Big Data Data Engineering Services Market Analysis Chapter Twelve: Europe Big Data Data Engineering Services Market Analysis Chapter Thirteen: Asia Pacific Big Data Data Engineering Services Market Analysis Chapter Fourteen: Middle East Africa Big Data Data Engineering Services Market Analysis Chapter Fifteen: Latin America Big Data Data Engineering Services Market Analysis Chapter Sixteen: Company Profiles Chapter Seventeen: Primary Key Insights Related reports The Big Data Market @ About us: Research key success growth industry. Most organizations invest major chunk resources viz. time, money manpower research achieve new breakthroughs businesses. The outcome expected arising need precise, factual highquality data backing research. This MART RESEARCH steps caters expertise domain market research reports industries varied sectors. Info: Name: Sandip B Khanapurkar Email:Send Email Organization: Mart Research Address: 5708Copper Creek Court, Charlotte, North Carolina 28227, USA Phone: 18573001122 Website: Author Recent Posts Pramod LohgaonkarDigital Marketing Manager Mart ResearchWe, MART RESEARCH value time believe time saved directly proportional profits earned. Before launching service, extensive survey understand challenges clients face gaining access authentic data reports. Latest posts Pramod Lohgaonkar Global Big Data Data Engineering Services Market Report 2020 Infosys, Capgemini, NTT DATA, Mphasis, LT Technology Services, Hexaware, Happiest Minds, KPMG April 19, 2020 Global Industrial Internet Things IIoT Market Report 2020 Corning orporated, ABB Ltd., Cisco Systems, ., General Electric Company, Siemens AG, Rockwell Automation, ., IBM Corporation, Microsoft Corporation, ARM Ltd., Intel Corporation April 19, 2020 Global Poly Aluminium Ferric Chloride PAFC Market Analysis 20152019 Forecast 20202025: Size, Share, Growth Rate, Revenue, Applications, Industry Demand February 7, 2020 Post navigation Blockchain Manufacturing Market Eventually Become AttractiveBuilding Maintenance Services Market: Growth rate Business Opportunities key players Compass GROUP, Millennium Building Services, General Building Maintenance Related posts Building Maintenance Services Market: Growth rate Business Opportunities key players Compass GROUP, Millennium Building Services, General Building Maintenance April 19, 2020 ReportOcean.comBUILDING MAINTENANCE SERVICES Market, BUILDING MAINTENANCE SERVICES Market Analysis, BUILDING MAINTENANCE SERVICES Market Growth, BUILDING MAINTENANCE SERVICES Market Scope, BUILDING MAINTENANCE SERVICES Market Share, BUILDING MAINTENANCE SERVICES Market Trend Global Building Maintenance Services Market research report presents comprehensive overview, market shares, growth opportunities... RearView Mirror Market Size 2019 By Top Key Players, By Type Application, Forecast 2025 April 19, 2020 [emailprotected]RearView Mirror Market, RearView Mirror Market Share, RearView Mirror Market Size, RearView Mirror Market Trends Global RearView Mirror Market valued approximately USD 9.95 billion 2016 forecasted grow with... Other Global DIN Rail Industrial PC Market 2019 Key Business Strategies Advantech, Beckhoff Automation, Kontron, Rockwell Automation April 19, 2020 davidGlobal DIN Rail Industrial PC Market 2019, Global DIN Rail Industrial PC Market Analysis, Global DIN Rail Industrial PC Market Growth, Global DIN Rail Industrial PC Market Outlook Industrial PCs data acquisition process control industries sectors. Fior Markets... 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https://www.arabianindustry.com/comms/news/2020/jun/1/huawei-5g-big-data-and-ai-will-help-us-prevail-against-covid-19-6390150/
2020-06-03T00:00:00
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Huawei: 5G, Big Data and AI will help us prevail against Covid 19 | United Arab Emirates | Comms | ArabianIndustry.com
Huawei: 5G, Big Data and AI will help us prevail against Covid 19 | United Arab Emirates | Comms | ArabianIndustry.com Comms Search Home Construction Hospitality Technology Oil & Gas Tenders Aviation Markets Travel Supply Chain Utilities Broadcast Comms Events Banking & Finance Special Reports Education News In Depth Huawei: 5G, Big Data and AI will help us prevail against Covid 19 Comms News Published: 1 June 2020 - 12:28 p.m. Next generation connectivity has a leading role to play in helping fight the global Covid 19 pandemic, according to a senior executive at Huawei.During a recent online event, Catherine Chen, corporate senior vice president and director of the board at Huawei, said that 5G, AI and Big Data all had a role to play in overcoming the pandemic, which has so far claimed 372,000 lives around the world. “It is true that technological progress has helped us respond to such globalCrises more efficiently. In 2003, it took the world nearly four months to finish sequencing the SARS genome. This year, it took only a week to decode COVID-19's genome. This is thanks to high-throughput DNA sequencing technologies. Using a wide range of advanced medicines and technologies, like ECMO, has also made treating patients more effective,” said Chen.In addition, new technologies have helped better protect healthcare workers and make their work more effective. These technologies include 5G, big data, and AI, with new approaches such as remote consultation, mobile ward rounds and infrared body-temperature monitoring,” she added.Earlier this year, Huawei succeeded in getting a 5G network up and running in just 3 days at the Huoshenshan Hospital in Wuhan, the epicenter of the outbreak. “This ultra-fast "5G setup" is not simply the result of hard work. It was also made possible by the simplified design of our 5G products and solutions. Our 5G micro base stations can be deployed almost anywhere, like on lamp poles. 5G AAU has made many things such as connecting cables super easy.“Technological progress may not be able to help us defeat the virus in one move. However, it does help us run faster in this race against the virus,” she added.Chen reiterated Huawei’s message that it is only through close collaboration and by fostering a collegiate atmosphere that mankind can reap the full benefits of technological advancement.“We need to be clear that technology alone is not advanced enough to take on COVID-19 and its accompanying challenges. We must dig deeper into the healthcare domain, by exploring things like new drugs and vaccines. In the modern world, we have fantastic communications network coverage. But even now, the pandemic is exposing many weaknesses.“As demand for network connections and speed surged in many areas, media platforms like Netflix and YouTube were forced to lower video bit rates. Some countries even suggested that their citizens limit what times they access the Internet to ease network pressure. In some rural areas of China, we even saw students climbing up mountains to get a strong enough signal for online classes,” she concluded. X READ NEXT Movement in and out of Abu Dhabi to be banned for a week Supplier You Should Know: Koita Secret Concierge: Facing the new reality Related Headlines Comms News MasMovil set for €5bn takeover NetNumber launches the world’s first cloud-native intergenerational network management platform Huawei appoints new president for Cloud and AI Business Group in MENA NetNumber: The Middle East and Africa is home to some of the world’s most innovative operators Virgin Mobile: 2020 will be a turning point for telcos as they seize the unlimited opportunities of digitalisation United Arab Emirates News Point Source launches hygenic intercom headsets Appear TV launch new features on X Platform Art Format Lab supports Digital Studio Virtual awards Net Insight selected for new IP media network in the Middle East Hilton Dubai Jumeirah beach club unveils daycation offer Click here to add your comment Close Please add your comment below Name Country Email Your email address will not be published Captcha Submit More news from the industry MasMovil set for €5bn takeover NetNumber launches the world’s first cloud-native intergenerational network management platform Huawei appoints new president for Cloud and AI Business Group in MENA NetNumber: The Middle East and Africa is home to some of the world’s most innovative operators Virgin Mobile: 2020 will be a turning point for telcos as they seize the unlimited opportunities of digitalisation Taking 5G to the next level Taking 5G to the next level Huawei: 5G, Big Data and AI will help us prevail against Covid 19 More country news Dubai's DEWA Retenders its 120 MIGD Hassyan Sea Water Reverse Osmosis IWP Al Ain city Pioneers Solution to Replace Stolen Gully Covers Uncertian future for coal plants as renewables become more competitive Renewable power is increasingly cheaper than any new electricity capacity based on fossil fuels, says IRENA Abu Dhabi Exports Office deal to help Sharjah exporters secure international business More related galleries Ideal Standard produces new range of products to help cut hospital acquired infections Photos: Hilton hotels across Dubai support 10 Million Meals initiative In Pictures: Bishop Design creates concept hotel in China for the millennial market Photos: Staycation offers across Dubai hotels 50 Hotels in the Middle East: Rove Downtown Dubai to Waldorf Astoria Ras Al Khaimah Top Stories Oil & Gas» Oman's new sultan faces immediate, significant structural challenges: S&P Global Ratings Aviation» Etihad unveils EasyJet as first NDC partner as it eyes more airlines Hospitality» Crowne Plaza Dubai Marina opens for business Aviation» Volcanic eruption disrupts UAE flights to Manila Petrochemicals» ADNOC to reduce greenhouse gas emissions intensity by 25% by 2030 Trending Latest Stories Aviation» The Big Picture: Boeing 777X wind tunnel testing Aviation» The Big Picture: Emirates' new brand ambassador Aviation» PHOTOS: Emirates and Ireland celebrate success Editors Picks Comms» Vodafone Idea diverts funds from rights issue to pay off AGR dues Hospitality» Crowne Plaza Dubai Marina opens for business Hospitality» Millennium Hotels and Resorts ranks first for Middle East hotel brand supply, pipeline Aviation» Volcanic eruption disrupts UAE flights to Manila Hospitality» Etihad Airways unveils cheap fares in January View Our Sister SitesConstruction Week OnlineHotelier Middle EastArabian Oil & GasAviation BusinessITP.netArabian Supply ChainSubscribe Now MagazinesE-newslettersFollow UsFollow us on TwitterBe a fan on FacebookFollow us on Google+Daily newsletter AMPMWEEKENDSubscribeHelp and SupportPrivacy PolicyAdvertise with usTerms of useLive Tenders 0 Total Tenders 51133 RSS Feeds ConstructionHospitalityTechnologyOil & GasTravelSupply ChainUtilitiesBroadcastComms Copyright 2020 ITP Digital Media Inc. - All Rights Reserved About Us Privacy & policy Subscriptions Terms of use Contact Us Advertise
Huawei: 5G, Big Data and AI will help us prevail against Covid 19
Huawei: 5G, Big Data AI help prevail Covid 19 United Arab Emirates Comms Comms Home Construction Hospitality Technology Oil Gas Tenders Aviation Markets Travel Supply Chain Utilities Broadcast Comms Events Banking Finance Special Reports Education News In Depth Huawei: 5G, Big Data AI help prevail Covid 19 Comms News Published: 1 June 2020 12:28 p.m. Next generation connectivity leading role play helping fight global Covid 19 pandemic, according senior executive Huawei.During recent online event, Catherine Chen, corporate senior vice president director board Huawei, said 5G, AI Big Data role play overcoming pandemic, far claimed 372,000 lives world. It true technological progress helped respond globalCrises efficiently. In 2003, took world nearly months finish sequencing SARS genome. This year, took week decode COVID19s genome. This thanks highthroughput DNA sequencing technologies. Using wide range advanced medicines technologies, like ECMO, treating patients effective, said Chen.In addition, new technologies helped better protect healthcare workers work effective. These technologies include 5G, big data, AI, new approaches remote consultation, mobile ward rounds infrared bodytemperature monitoring, added.Earlier year, Huawei succeeded getting 5G network running 3 days Huoshenshan Hospital Wuhan, epicenter outbreak. This ultrafast 5G setup simply result hard work. It possible simplified design 5G products solutions. Our 5G micro base stations deployed anywhere, like lamp poles. 5G AAU things connecting cables super easy.Technological progress able help defeat virus move. However, help run faster race virus, added.Chen reiterated Huaweis message close collaboration fostering collegiate atmosphere mankind reap benefits technological advancement.We need clear technology advanced COVID19 accompanying challenges. We dig deeper healthcare domain, exploring things like new drugs vaccines. In modern world, fantastic communications network coverage. But now, pandemic exposing weaknesses.As demand network connections speed surged areas, media platforms like Netflix YouTube forced lower video bit rates. Some countries suggested citizens limit times access Internet ease network pressure. In rural areas China, saw students climbing mountains strong signal online classes, concluded. X READ NEXT Movement Abu Dhabi banned week Supplier You Should Know: Koita Secret Concierge: Facing new reality Related Headlines Comms News MasMovil set 5bn takeover NetNumber launches worlds cloudnative intergenerational network management platform Huawei appoints new president Cloud AI Business Group MENA NetNumber: The Middle East Africa home worlds innovative operators Virgin Mobile: 2020 turning point telcos seize unlimited opportunities digitalisation United Arab Emirates News Point Source launches hygenic intercom headsets Appear TV launch new features X Platform Art Format Lab supports Digital Studio Virtual awards Net Insight selected new IP media network Middle East Hilton Dubai Jumeirah beach club unveils daycation offer Click add comment Close Please add comment Name Country Email Your email address published Captcha Submit More news industry MasMovil set 5bn takeover NetNumber launches worlds cloudnative intergenerational network management platform Huawei appoints new president Cloud AI Business Group MENA NetNumber: The Middle East Africa home worlds innovative operators Virgin Mobile: 2020 turning point telcos seize unlimited opportunities digitalisation Taking 5G level Taking 5G level Huawei: 5G, Big Data AI help prevail Covid 19 More country news Dubais DEWA Retenders 120 MIGD Hassyan Sea Water Reverse Osmosis IWP Al Ain city Pioneers Solution Replace Stolen Gully Covers Uncertian future coal plants renewables competitive Renewable power increasingly cheaper new electricity capacity based fossil fuels, says IRENA Abu Dhabi Exports Office deal help Sharjah exporters secure international business More related galleries Ideal Standard produces new range products help cut hospital acquired infections Photos: Hilton hotels Dubai support 10 Million Meals initiative In Pictures: Bishop Design creates concept hotel China millennial market Photos: Staycation offers Dubai hotels 50 Hotels Middle East: Rove Downtown Dubai Waldorf Astoria Ras Al Khaimah Top Stories Oil Gas Omans new sultan faces immediate, significant structural challenges: SP Global Ratings Aviation Etihad unveils EasyJet NDC partner eyes airlines Hospitality Crowne Plaza Dubai Marina opens business Aviation Volcanic eruption disrupts UAE flights Manila Petrochemicals ADNOC reduce greenhouse gas emissions intensity 25 2030 Trending Latest Stories Aviation The Big Picture: Boeing 777X wind tunnel testing Aviation The Big Picture: Emirates new brand ambassador Aviation PHOTOS: Emirates Ireland celebrate success Editors Picks Comms Vodafone Idea diverts funds rights issue pay AGR dues Hospitality Crowne Plaza Dubai Marina opens business Hospitality Millennium Hotels Resorts ranks Middle East hotel brand supply, pipeline Aviation Volcanic eruption disrupts UAE flights Manila Hospitality Etihad Airways unveils cheap fares January View Our Sister SitesConstruction Week OnlineHotelier Middle EastArabian Oil GasAviation BusinessITP.netArabian Supply Chain Now MagazinesEnewslettersFollow TwitterBe fan FacebookFollow GoogleDaily newsletter AMPMWEEKENDHelp SupportAdvertise usTerms useLive Tenders 0 Total Tenders 51133 RSS Feeds ConstructionHospitalityTechnologyOil GasTravelSupply ChainUtilitiesBroadcastComms 2020 ITP Digital Media . 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https://www.newindianexpress.com/cities/delhi/2020/dec/29/2021-is-about-boxed-meals-ai-and-hygiene-2242561.html
2020-12-29T00:00:00
en
2021 is about boxed meals, AI and hygiene- The New Indian Express
2021 is about boxed meals, AI and hygiene- The New Indian Express ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT 2020 with TNIE Coronavirus Nation World States Tamil Nadu Kerala Karnataka Andhra Pradesh Telangana Odisha Cities Chennai Delhi Bengaluru Hyderabad Kochi Thiruvananthapuram Business Sport Cricket Football Tennis Other Women's T20 WC Entertainment English Hindi Kannada Malayalam Tamil Telugu Review Galleries Nation World Sport Entertainment Other Videos Nation World Sport Entertainment Other Lifestyle Tech Health Travel Food Books Spirituality Specials Good News Opinions Editorials explainers Columns Prabhu Chawla T J S George S Gurumurthy Ravi Shankar Shankkar Aiyar Shampa Dhar-Kamath Karamatullah K Ghori Edex Indulge E-paper Tuesday, December, 29, 2020 Toggle navigation Subscribe E-paper Nation World States Cities Business Sport Good News Women's T20 World Cup ICC World Cup Movies Galleries Videos SUBSCRIBE TO E-PAPER STOCK MARKET BSE NSE Home Cities Delhi 2021 is about boxed meals, AI and hygiene In the thick of a WFH culture, corporate caterers have not lost hope and are finding new ways to thrive Share Via Email Published: 29th December 2020 09:12 AM  |   Last Updated: 29th December 2020 09:12 AM   |  A+A A- By Nikita SharmaExpress News Service While hotels and restaurants are making headway with sales and footfalls by offering home delivery, staycation, festive and year end discounts, the world of corporate catering is yet to experience this kind of luck. Mainly because most companies remain shut as work from home continues being the norm. Sanjay Kumar, CEO, Elior India, one of the largest catering companies in India, says, “The impact of COVID-19 is more pronounced in Delhi-NCR. Less than 10 per cent of our customers are eating food in offices because many are working from home. Particularly in NCR, at least six-seven central kitchens are up for grabs. A lot of people lost their jobs as many businesses folded up. This has set the industry back by six-seven years.” The footfall of customers for Feastly by Feeding Billions – operational in six cities – has also come down to just 20-30 per cent of what it was in Delhi. The company has now opted for biodegradable boxes like bagasse boxes and options in bamboo to decrease the waste burden. “The food hygiene levels have rocketed. The buffet system is totally out. At Samsung, for instance, the meal boxes are sanitised and there are fixed timings for people to enter the cafeteria in small groups,” adds Sarthak Gahlaut, Founder of Feastly. Having a central kitchen with a capacity to prepare 25,000-30,000 meals per shift, Feastly caters to two markets – industry and corporate. “Seventy per cent of the corporate market has vanished. We hope when they are back, it will push us to work more,” says Gahlaut, who plans to expand in 15 cities by 2021.But Kumar feels that if and when companies resume physical operations, it will be slow and cautious. “We think somewhere in July, companies in major cities will muster the courage to ask people to come to work, but only if the vaccine is available and being administered.” Tailor-made & safe  Meanwhile, Feastly has seen a huge spike in demand for healthy meals. “During COVID, everyone realised that ‘we are what we eat’. We now have requests to add ample salad options in the menu,” adds Gahlaut. Experts foresee more rigorous audits to ensure compliance of safety procedures. “Larger companies will see growth, but the smaller ones will find it difficult to justify making these investments given the low prices NCR offers,” says Kumar, who adds that when the demand picks up, more organisations will focus more on serving safe food that tasty food. “This will also become a reason for the smaller caterers to fold up because not more than two kitchens in Delhi have the infrastructure and clean water to produce safe food,” adds Kumar. Incorporating AI  Gahlaut predicts Artificial Intelligence will become the backbone of the food industry. “AI will help us know whether the company we are catering to is liking our food. We are in the pipeline to launch our tech product in 2021 that will tackle the three issues in the food industry – food traceability (What’s in your food), food quality (calories, nutritional content) and food safety.”Elior India’s own digital platform enables social distancing, by pre-assigning seats in a cafeteria, and getting real-time feedback from the customer on the quality of food.  Embassy Catering is set to venture into corporate catering in 2021 as Owner Pranay Bahl feels it is a good time to venture out. “Though we will get fewer clients, we will get a chance to provide a seamless delivery in terms of operations. Quality will play a major role now.” Also predicted is a fairly large shift in the selection criteria, he says, wherein the first element will be hygiene. “Here lies the opportunity for large F&B companies like us. We have this infrastructure because of the multiple formats we operate in. Our office is now at Udyog Vihar, so we will be able to cash in on the large number of companies there,” adds Bahl, who counts Teleperformance and Taj Sats as clients. Embassy’s variety of cuisines on offer like Thai, Japanese, Korean or European, makes it stand out among competitors, feels Bahl. “Many offices we have spoken to are waiting to have a larger workforce come in to work. As the numbers grow, by February-March, we will come into play.”   Now we are on Telegram too. Follow us for updates TAGS boxed meals O P E N ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT India Matters Super gonorrhea on the rise due to excessive antibiotic use in COVID-19 fight: Reports Another headache? No data of non-elderly for Covid vaccination Leader Ajinkya Rahane trumps Australia to series-levelling victory at MCG Regional Censor Board denies certificate to Malayalam film Varthamanam Comments Disclaimer : We respect your thoughts and views! But we need to be judicious while moderating your comments. All the comments will be moderated by the newindianexpress.com editorial. Abstain from posting comments that are obscene, defamatory or inflammatory, and do not indulge in personal attacks. Try to avoid outside hyperlinks inside the comment. Help us delete comments that do not follow these guidelines. The views expressed in comments published on newindianexpress.com are those of the comment writers alone. They do not represent the views or opinions of newindianexpress.com or its staff, nor do they represent the views or opinions of The New Indian Express Group, or any entity of, or affiliated with, The New Indian Express Group. newindianexpress.com reserves the right to take any or all comments down at any time. 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2021 is about boxed meals, AI and hygiene- The New Indian Express
2021 boxed meals, AI hygiene The New Indian Express ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT 2020 TNIE Coronavirus Nation World States Tamil Nadu Kerala Karnataka Andhra Pradesh Telangana Odisha Cities Chennai Delhi Bengaluru Hyderabad Kochi Thiruvananthapuram Business Sport Cricket Football Tennis Other Womens T20 WC Entertainment English Hindi Kannada Malayalam Tamil Telugu Review Galleries Nation World Sport Entertainment Other Videos Nation World Sport Entertainment Other Lifestyle Tech Health Travel Food Books Spirituality Specials Good News Opinions Editorials explainers Columns Prabhu Chawla T J S George S Gurumurthy Ravi Shankar Shankkar Aiyar Shampa DharKamath Karamatullah K Ghori Edex Indulge Epaper Tuesday, December, 29, 2020 Toggle navigation Epaper Nation World States Cities Business Sport Good News WomensT20 World Cup ICC World Cup Movies Galleries Videos SUBSCRIBE TO EPAPER STOCK MARKET BSE NSE Home Cities Delhi 2021 boxed meals, AI hygiene In WFH culture, corporate caterers lost hope finding new ways thrive Share Via Email Published: 29th December 2020 09:12 AM Last Updated: 29th December 2020 09:12 AM AAA By Nikita SharmaExpress News Service While hotels restaurants making headway sales footfalls offering home delivery, staycation, festive year end discounts, world corporate catering experience kind luck. Mainly companies remain shut work home continues norm. Sanjay Kumar, CEO, Elior India, largest catering companies India, says, The impact COVID19 pronounced DelhiNCR. Less 10 cent customers eating food offices working home. Particularly NCR, sixseven central kitchens grabs. A lot people lost jobs businesses folded up. This set industry sixseven years. The footfall customers Feastly Feeding Billions operational cities come 2030 cent Delhi. The company opted biodegradable boxes like bagasse boxes options bamboo decrease waste burden. The food hygiene levels rocketed. The buffet totally out. At Samsung, instance, meal boxes sanitised fixed timings people enter cafeteria small groups, adds Sarthak Gahlaut, Founder Feastly. Having central kitchen capacity prepare 25,00030,000 meals shift, Feastly caters markets industry corporate. Seventy cent corporate market vanished. We hope back, push work more, says Gahlaut, plans expand 15 cities 2021.But Kumar feels companies resume physical operations, slow cautious. We think July, companies major cities muster courage ask people come work, vaccine available administered. Tailormade safe Meanwhile, Feastly seen huge spike demand healthy meals. During COVID, realised eat. We requests add ample salad options menu, adds Gahlaut. Experts foresee rigorous audits ensure compliance safety procedures. Larger companies growth, smaller ones difficult justify making investments given low prices NCR offers, says Kumar, adds demand picks up, organisations focus serving safe food tasty food. This reason smaller caterers fold kitchens Delhi infrastructure clean water produce safe food, adds Kumar. orporating AI Gahlaut predicts Artificial Intelligence backbone food industry. AI help know company catering liking food. We pipeline launch tech product 2021 tackle issues food industry food traceability Whats food, food quality calories, nutritional content food safety.Elior Indias digital platform enables social distancing, preassigning seats cafeteria, getting realtime feedback customer quality food. Embassy Catering set venture corporate catering 2021 Owner Pranay Bahl feels good time venture out. Though fewer clients, chance provide seamless delivery terms operations. Quality play major role now. Also predicted fairly large shift selection criteria, says, element hygiene. Here lies opportunity large FB companies like us. We infrastructure multiple formats operate in. Our office Udyog Vihar, able cash large number companies there, adds Bahl, counts Teleperformance Taj Sats clients. Embassys variety cuisines offer like Thai, Japanese, Korean European, makes stand competitors, feels Bahl. Many offices spoken waiting larger workforce come work. As numbers grow, FebruaryMarch, come play. Now Telegram too. Follow updates TAGS boxed meals O P E N ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT India Matters Super gonorrhea rise excessive antibiotic use COVID19 fight: Reports Another headache? No data nonelderly Covidvaccination Leader Ajinkya Rahane trumps Australia serieslevelling victory MCG Regional Censor Board denies certificate Malayalam film Varthamanam Comments Disclaimer : We respect thoughts views But need judicious moderating comments. All comments moderated editorial. Abstain posting comments obscene, defamatory inflammatory, indulge personal attacks. Try avoid outside hyperlinks inside comment. Help delete comments follow guidelines. The views expressed comments published comment writers alone. They represent views opinions staff, represent views opinions The New Indian Express Group, entity of, affiliated with, The New Indian Express Group. reserves right comments time. ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT Latest Panel fix criteria people comorbidities prioritised Covid vaccines Covaxin work mutated coronavirus, confirms Bharat Biotech Food drug adulteration attract life sentence Madhya Pradesh Tripura adjudged bestperforming state northeast central scheme: Official American singersongwriter Halsey sorry insensitive eating disorder photo Powerful 6.4 earthquake tears buildings central Croatia ADVERTISEMENT Videos When silver screen went dark: Bollywood counts losses year COVID19 Rajinikanth gives political aspirations, shatters hopes fans ADVERTISEMENT Gallery Virat Kohli Sachin Tendulkar:Cricket iconsreact Team Indias epic win Australia Boxing Day Test Virat Kohli Rohit Sharma: Check ICCs ODI Team Decade Trending ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT FOLLOW US 2020 The Morning Standard Dinamani Kannada Prabha Samakalika Malayalam Indulgexpress Edex Live Cinema Express Event Xpress Us Careers Terms Use Advertise With Us Home Nation World Cities Business Columns Entertainment Sport Magazine The Sunday Standard flipboard facebook twitter whatsapp Next
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http://bq-magazine.com/artificial-intelligence-cant-get-here-soon-enough-executives-say/?utm_source=rss&utm_medium=rss&utm_campaign=artificial-intelligence-cant-get-here-soon-enough-executives-say
2020-01-18T00:00:00
en
Artificial Intelligence Can’t Get Here Soon Enough, Executives Say - Business Quick Magazine
Artificial Intelligence Can’t Get Here Soon Enough, Executives Say - Business Quick Magazine Home Business Technology Marketing Digital Marketing SEO Social Media Contact Home Business Technology Marketing Digital Marketing SEO Social Media Contact Home Technology Artificial Intelligence Can’t Get Here Soon Enough, Executives Say Technology Artificial Intelligence Can’t Get Here Soon Enough, Executives Say written by Forbes January 18, 2020 AI varies from industry to industry. Getty There are just as many use cases for AI as there are companies. For healthcare organizations, AI is playing a role in monitoring equipment, while retailers see AI as a way to better understand customers. Transportation executives are banking on AI to drive autonomous vehicles. The common denominator across all industry groups is the rate that AI is changing the way things get done. A recent survey of 751 executives, released by KPMG, even finds growing frustration that AI isn’t be implemented fast enough. While two-thirds of executives feel AI adoption is moving at an appropriate speed within their industry, even more, at least seven in ten, wish their organizations would be more aggressive in adopting AI technology, the survey shows. “Executives at times underestimate AI’s time to value – how much effort is required to implement AI and see notable results,” says Traci Gusher, principal with KPMG. “True business value only emerges when AI implementation has been tightly linked to business strategy and when AI-powered output has progressed into normal business-as-usual operations far enough to yield substantive value.” In the meantime, most executives across most of the various industries agree that the hype around AI has surpassed its actual capability to deliver. Transportation executives are the most skeptical of AI hype (69 percent), followed by retailers (64 percent), technology executives (57 percent), and healthcare providers (52 percent). Interestingly, financial services executives are the least skeptical, with only 42 percent feeling AI is too hyped up. That’s probably because there are already many instances of AI on the ground, supporting everything from fraud detection to credit scoring. A lack of understanding of technology capabilities is seen as the top challenge, cited by 46 percent of respondents. That’s followed by lack of training, cited by 36 percent, and lack of initial investment funding, cited by 32 percent. Skills gaps are also cited as issues, but the severity differs between industries, the KPMG survey shows. A minority of retail and healthcare executives, 43 percent, say their employees have the skills to build AI. Another 49 percent of financial executives think their employees have the skills needed to adopt AI. Transportation and tech executives are have the fewest problems with skills gaps — 63 percent of transportation executives report having skills shortages, along with 61 percent of tech executives. Here are some positive results seen across industries: Eighty percent of retail respondents say AI is often able to alleviate customer service issues. Within the next two years, retail insiders (56 percent) believe that AI will have the greatest impact in customer intelligence. A majority of financial services insiders (85 percent) see AI as playing a role in industry challenges such as detecting fraud. Sixty-four percent believe AI will also play a role in disrupting traditional bank services. Ninety percent of healthcare executives believe AI technology will improve the patient experience and have the greatest impact on diagnostics (47 percent), electronic health records [EHR] management (41 percent) and robotic tasks (40 percent). For transportation use cases, 51 percent say AI will play a role in transportation delay prediction systems, while 47 percent say AI is well-suited for traffic management systems. Close to half, 46 percent, say AI will lead to improvements in autonomous vehicles. Source 0 comment 0 Facebook Twitter Google + Pinterest Forbes previous post UFC 246 Full Fight Video: Watch Conor McGregor Beat Nate Diaz next post UFC 246 Official Purses: Conor McGregor Ties Record Guarantee Payout You may also like When It Comes To Automation And AI, Failure... December 3, 2019 Choosing Technology To Avoid Operational Setbacks For Front-Line... December 16, 2019 Xbox Series X Games Will Be Compatible With... January 10, 2020 Online Dating Trends & The Future Of The... November 21, 2019 Politicians Join LGBTQ Activists Asking Facebook To Drop... December 12, 2019 NASA’s New Probe Skims The Sun And Astronomers... December 4, 2019 What It’s Like To Taste Impossible Pork, And... January 7, 2020 Simplify Your Innovation Process Into 5 Phases December 28, 2019 15 Pieces Of Advice To Help New Tech... December 17, 2019 Twitter Confirms Security Vulnerability—Millions Of App Users Advised... December 21, 2019 Recent Posts UFC 246 Official Purses: Conor McGregor Ties Record Guarantee Payout Artificial Intelligence Can’t Get Here Soon Enough, Executives Say UFC 246 Full Fight Video: Watch Conor McGregor Beat Nate Diaz Conor McGregor’s UFC 246 Payout Crushes Pay Of Other Fighters WWE Friday Night SmackDown Results: News, Notes After Roman Reigns Selects Falls Count Anywhere The Truth About Betelgeuse, The Red Supergiant Star That Will Explode As A Spectacular Supernova Your Business Counts: Australian Hotels Ravaged By Bushfires Woo Guests Back Your Business Counts: Australian Hotels Ravaged By Bushfires Want Guests Back Australian Hotels Ravaged By Bushfires, Up To $4.5B Tourism Damages Modi Must Lift 360 Million Indians Out Of Poverty: Can He Do It? On Pinterest @businessquickmag Latest Posts UFC 246 Official Purses: Conor McGregor Ties Record... Jan 18, 2020 Artificial Intelligence Can’t Get Here Soon Enough, Executives... Jan 18, 2020 UFC 246 Full Fight Video: Watch Conor McGregor... Jan 18, 2020 Conor McGregor’s UFC 246 Payout Crushes Pay Of... Jan 18, 2020 WWE Friday Night SmackDown Results: News, Notes After... Jan 18, 2020 The Truth About Betelgeuse, The Red Supergiant Star... Jan 18, 2020 Your Business Counts: Australian Hotels Ravaged By Bushfires... Jan 18, 2020 Your Business Counts: Australian Hotels Ravaged By Bushfires... Jan 18, 2020 Australian Hotels Ravaged By Bushfires, Up To $4.5B... Jan 18, 2020 Modi Must Lift 360 Million Indians Out Of... Jan 18, 2020 Pinterest @2017 - PenciDesign. All Right Reserved. Designed and Developed by PenciDesign Back To Top
Artificial Intelligence Can’t Get Here Soon Enough, Executives Say
Artificial Intelligence Cant Get Here Soon Enough, Executives Say Business Quick Magazine Home Business Technology Marketing Digital Marketing SEO Social Media Home Business Technology Marketing Digital Marketing SEO Social Media Home Technology Artificial Intelligence Cant Get Here Soon Enough, Executives Say Technology Artificial Intelligence Cant Get Here Soon Enough, Executives Say written Forbes January 18, 2020 AI varies industry industry. Getty There use cases AI companies. For healthcare organizations, AI playing role monitoring equipment, retailers AI way better understand customers. Transportation executives banking AI drive autonomous vehicles. The common denominator industry groups rate AI changing way things done. A recent survey 751 executives, released KPMG, finds growing frustration AI isnt implemented fast enough. While twothirds executives feel AI adoption moving appropriate speed industry, more, seven ten, wish organizations aggressive adopting AI technology, survey shows. Executives times underestimate AIs time value effort required implement AI notable results, says Traci Gusher, principal KPMG. True business value emerges AI implementation tightly linked business strategy AIpowered output progressed normal businessasusual operations far yield substantive value. In meantime, executives industries agree hype AI surpassed actual capability deliver. Transportation executives skeptical AI hype 69 percent, followed retailers 64 percent, technology executives 57 percent, healthcare providers 52 percent. Interestingly, financial services executives skeptical, 42 percent feeling AI hyped up. Thats probably instances AI ground, supporting fraud detection credit scoring. A lack understanding technology capabilities seen challenge, cited 46 percent respondents. Thats followed lack training, cited 36 percent, lack initial investment funding, cited 32 percent. Skills gaps cited issues, severity differs industries, KPMG survey shows. A minority retail healthcare executives, 43 percent, employees skills build AI. Another 49 percent financial executives think employees skills needed adopt AI. Transportation tech executives fewest problems skills gaps 63 percent transportation executives report skills shortages, 61 percent tech executives. Here positive results seen industries: Eighty percent retail respondents AI able alleviate customer service issues. Within years, retail insiders 56 percent believe AI greatest impact customer intelligence. A majority financial services insiders 85 percent AI playing role industry challenges detecting fraud. Sixtyfour percent believe AI play role disrupting traditional bank services. Ninety percent healthcare executives believe AI technology improve patient experience greatest impact diagnostics 47 percent, electronic health records [EHR] management 41 percent robotic tasks 40 percent. For transportation use cases, 51 percent AI play role transportation delay prediction systems, 47 percent AI wellsuited traffic management systems. Close half, 46 percent, AI lead improvements autonomous vehicles. Source 0 comment 0 Facebook Twitter Google Pinterest Forbes previous post UFC 246 Full Fight Video: Watch Conor McGregor Beat Nate Diaz post UFC 246 Official Purses: Conor McGregor Ties Record Guarantee Payout You like When It Comes To Automation And AI, Failure... December 3, 2019 Choosing Technology To Avoid Operational Setbacks For FrontLine... December 16, 2019 Xbox Series X Games Will Be Compatible With... January 10, 2020 Online Dating Trends The Future Of The... November 21, 2019 Politicians Join LGBTQ Activists Asking Facebook To Drop... December 12, 2019 NASAs New Probe Skims The Sun And Astronomers... December 4, 2019 What Its Like To Taste Impossible Pork, And... January 7, 2020 Simplify Your Innovation Process Into 5 Phases December 28, 2019 15 Pieces Of Advice To Help New Tech... December 17, 2019 Twitter Confirms Security VulnerabilityMillions Of App Users Advised... December 21, 2019 Recent Posts UFC 246 Official Purses: Conor McGregor Ties Record Guarantee Payout Artificial Intelligence Cant Get Here Soon Enough, Executives Say UFC 246 Full Fight Video: Watch Conor McGregor Beat Nate Diaz Conor McGregors UFC 246 Payout Crushes Pay Of Other Fighters WWE Friday Night SmackDown Results: News, Notes After Roman Reigns Selects Falls Count Anywhere The Truth About Betelgeuse, The Red Supergiant Star That Will Explode As A Spectacular Supernova Your Business Counts: Australian Hotels Ravaged By Bushfires Woo Guests Back Your Business Counts: Australian Hotels Ravaged By Bushfires Want Guests Back Australian Hotels Ravaged By Bushfires, Up To 4.5B Tourism Damages Modi Must Lift 360 Million Indians Out Of Poverty: Can He Do It? On Pinterest Latest Posts UFC 246 Official Purses: Conor McGregor Ties Record... Jan 18, 2020 Artificial Intelligence Cant Get Here Soon Enough, Executives... Jan 18, 2020 UFC 246 Full Fight Video: Watch Conor McGregor... Jan 18, 2020 Conor McGregors UFC 246 Payout Crushes Pay Of... Jan 18, 2020 WWE Friday Night SmackDown Results: News, Notes After... Jan 18, 2020 The Truth About Betelgeuse, The Red Supergiant Star... Jan 18, 2020 Your Business Counts: Australian Hotels Ravaged By Bushfires... Jan 18, 2020 Your Business Counts: Australian Hotels Ravaged By Bushfires... Jan 18, 2020 Australian Hotels Ravaged By Bushfires, Up To 4.5B... Jan 18, 2020 Modi Must Lift 360 Million Indians Out Of... Jan 18, 2020 Pinterest PenciDesign. All Right Reserved. Designed Developed PenciDesign Back To Top
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https://www.themarketsdaily.com/2020/01/31/janney-montgomery-scott-llc-has-1-56-million-holdings-in-first-trust-nasdaq-artificial-intelligence-and-robotics-etf-nasdaqrobt.html
2020-01-31T00:00:00
en
Janney Montgomery Scott LLC Has $1.56 Million Holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT) - Markets Daily
Janney Montgomery Scott LLC Has $1.56 Million Holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT) - Markets Daily Home Privacy Policy About/ Contact Business Stocks Technology Health Lifestyle Politics Daily Ratings & News for First Trust Nasdaq Artificial Intelligence and Robotics ETF Complete the form below to receive the latest headlines and analysts' recommendations for First Trust Nasdaq Artificial Intelligence and Robotics ETF with our free daily email newsletter: Follow @TheMarketsDaily Recent Posts NEXT Financial Group Inc Sells 7,976 Shares of iShares China Large-Cap ETF (NYSEARCA:FXI) Southwest Airlines Co (NYSE:LUV) Shares Sold by NEXT Financial Group Inc NEXT Financial Group Inc Boosts Stock Holdings in Micro Focus International PLC – (NYSE:MFGP) NEXT Financial Group Inc Buys 18,297 Shares of VEON Ltd (NASDAQ:VEON) NEXT Financial Group Inc Has $56,000 Stock Position in Cohen & Steers Quality Income Realty Inc (NYSE:RQI) NEXT Financial Group Inc Purchases 477 Shares of Expedia Group Inc (NASDAQ:EXPE) Strs Ohio Purchases New Position in Extended Stay America (NYSE:STAY) Strs Ohio Purchases 130,100 Shares of Tupperware Brands Co. (NYSE:TUP) NEXT Financial Group Inc Invests $58,000 in BlackRock MuniYield New York Insured Fnd (NYSE:MYN) NEXT Financial Group Inc Purchases 650 Shares of Invesco CEF Income Composite ETF (NYSEARCA:PCEF) Janney Montgomery Scott LLC Purchases New Position in Scorpio Tankers Inc. (NYSE:STNG) NEXT Financial Group Inc Takes $60,000 Position in Rubius Therapeutics Inc (NASDAQ:RUBY) Kosmos Energy Ltd (NYSE:KOS) Shares Sold by Nisa Investment Advisors LLC Janney Montgomery Scott LLC Has $1.57 Million Stake in H&E Equipment Services, Inc. (NASDAQ:HEES) Janney Montgomery Scott LLC Sells 4,322 Shares of SVB Financial Group (NASDAQ:SIVB) Nisa Investment Advisors LLC Has $129,000 Stake in Warrior Met Coal Inc (NYSE:HCC) NEXT Financial Group Inc Has $61,000 Stake in Apache Co. (NYSE:APA) Janney Montgomery Scott LLC Has $1.56 Million Holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT) State of Michigan Retirement System Has $2.07 Million Position in PRA Health Sciences Inc (NASDAQ:PRAH) Strs Ohio Sells 10,000 Shares of ABIOMED, Inc. (NASDAQ:ABMD) Janney Montgomery Scott LLC Has $1.56 Million Holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT) Posted by Michael Walen on Jan 31st, 2020 // Comments off Janney Montgomery Scott LLC boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT) by 23.7% during the fourth quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. The fund owned 45,353 shares of the company’s stock after buying an additional 8,700 shares during the quarter. Janney Montgomery Scott LLC’s holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF were worth $1,559,000 at the end of the most recent reporting period. Other large investors have also recently modified their holdings of the company. Commonwealth Equity Services LLC boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF by 40.0% during the third quarter. Commonwealth Equity Services LLC now owns 9,177 shares of the company’s stock worth $290,000 after acquiring an additional 2,620 shares during the period. Bank of America Corp DE boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF by 32.3% during the second quarter. Bank of America Corp DE now owns 56,836 shares of the company’s stock worth $1,884,000 after acquiring an additional 13,866 shares during the period. Benjamin F. Edwards & Company Inc. boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF by 63.4% during the third quarter. Benjamin F. Edwards & Company Inc. now owns 2,802 shares of the company’s stock worth $89,000 after acquiring an additional 1,087 shares during the period. YHB Investment Advisors Inc. boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF by 5.5% during the third quarter. YHB Investment Advisors Inc. now owns 23,945 shares of the company’s stock worth $757,000 after acquiring an additional 1,250 shares during the period. Finally, Ladenburg Thalmann Financial Services Inc. boosted its holdings in shares of First Trust Nasdaq Artificial Intelligence and Robotics ETF by 18.9% during the second quarter. Ladenburg Thalmann Financial Services Inc. now owns 19,903 shares of the company’s stock worth $663,000 after acquiring an additional 3,159 shares during the period. Get First Trust Nasdaq Artificial Intelligence and Robotics ETF alerts: Shares of NASDAQ:ROBT opened at $35.57 on Friday. First Trust Nasdaq Artificial Intelligence and Robotics ETF has a 12-month low of $28.98 and a 12-month high of $36.62. The business has a 50 day moving average of $35.04 and a 200-day moving average of $32.97. Further Reading: Dividend Want to see what other hedge funds are holding ROBT? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT). Receive News & Ratings for First Trust Nasdaq Artificial Intelligence and Robotics ETF Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for First Trust Nasdaq Artificial Intelligence and Robotics ETF and related companies with MarketBeat.com's FREE daily email newsletter.  « PREVIOUSState of Michigan Retirement System Has $2.07 Million Position in PRA Health Sciences Inc (NASDAQ:PRAH)  » NEXTJanney Montgomery Scott LLC Sells 4,322 Shares of SVB Financial Group (NASDAQ:SIVB) Latest News 191,564 Shares in Atmos Energy Co. Acquired by SeaTown Holdings Pte. Ltd. Diabetes Patients and Advocates Fight Back Against Skyrocketing Insulin Prices Lowe’s Sales and Earnings Miss Wall Street Expectations BHP Quitting Shale Business in U.S. Alibaba Earnings Beat as Revenue Driver Remains E-Commerce Cisco Revenue from Security Business Comes Up Short Business Stocks Technology Health Lifestyle Politics © 2006-2020 Markets Daily
Janney Montgomery Scott LLC Has $1.56 Million Holdings in First Trust Nasdaq Artificial Intelligence and Robotics ETF (NASDAQ:ROBT)
Janney Montgomery Scott LLC Has 1.56 Million Holdings First Trust Nasdaq Artificial Intelligence Robotics ETF NASDAQ:ROBT Markets Daily Home About Business Stocks Technology Health Lifestyle Politics Daily Ratings News First Trust Nasdaq Artificial Intelligence Robotics ETF Complete form receive latest headlines analysts recommendations First Trust Nasdaq Artificial Intelligence Robotics ETF free daily email newsletter: Follow Recent Posts NEXT Financial Group Sells 7,976 Shares iShares China LargeCap ETF NYSEARCA:FXI Southwest Airlines Co NYSE:LUV Shares Sold NEXT Financial Group NEXT Financial Group Boosts Stock Holdings Micro Focus International PLC NYSE:MFGP NEXT Financial Group Buys 18,297 Shares VEON Ltd NASDAQ:VEON NEXT Financial Group Has 56,000 Stock Position Cohen Steers Quality ome Realty NYSE:RQI NEXT Financial Group Purchases 477 Shares Expedia Group NASDAQ:EXPE Strs Ohio Purchases New Position Extended Stay America NYSE:STAY Strs Ohio Purchases 130,100 Shares Tupperware Brands Co. NYSE:TUP NEXT Financial Group Invests 58,000 BlackRock MuniYield New York Insured Fnd NYSE:MYN NEXT Financial Group Purchases 650 Shares Invesco CEF ome Composite ETF NYSEARCA:PCEF Janney Montgomery Scott LLC Purchases New Position Scorpio Tankers . NYSE:STNG NEXT Financial Group Takes 60,000 Position Rubius Therapeutics NASDAQ:RUBY Kosmos Energy Ltd NYSE:KOS Shares Sold Nisa Investment Advisors LLC Janney Montgomery Scott LLC Has 1.57 Million Stake HE Equipment Services, . NASDAQ:HEES Janney Montgomery Scott LLC Sells 4,322 Shares SVB Financial Group NASDAQ:SIVB Nisa Investment Advisors LLC Has 129,000 Stake Warrior Met Coal NYSE:HCC NEXT Financial Group Has 61,000 Stake Apache Co. NYSE:APA Janney Montgomery Scott LLC Has 1.56 Million Holdings First Trust Nasdaq Artificial Intelligence Robotics ETF NASDAQ:ROBT State Michigan Retirement System Has 2.07 Million Position PRA Health Sciences NASDAQ:PRAH Strs Ohio Sells 10,000 Shares ABIOMED, . NASDAQ:ABMD Janney Montgomery Scott LLC Has 1.56 Million Holdings First Trust Nasdaq Artificial Intelligence Robotics ETF NASDAQ:ROBT Posted Michael Walen Jan 31st, 2020 Comments Janney Montgomery Scott LLC boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF NASDAQ:ROBT 23.7 fourth quarter, according company recent Form 13F filing Securities Exchange Commission. The fund owned 45,353 shares companys stock buying additional 8,700 shares quarter. Janney Montgomery Scott LLCs holdings First Trust Nasdaq Artificial Intelligence Robotics ETF worth 1,559,000 end recent reporting period. Other large investors recently modified holdings company. Commonwealth Equity Services LLC boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF 40.0 quarter. Commonwealth Equity Services LLC owns 9,177 shares companys stock worth 290,000 acquiring additional 2,620 shares period. Bank America Corp DE boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF 32.3 second quarter. Bank America Corp DE owns 56,836 shares companys stock worth 1,884,000 acquiring additional 13,866 shares period. Benjamin F. Edwards Company . boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF 63.4 quarter. Benjamin F. Edwards Company . owns 2,802 shares companys stock worth 89,000 acquiring additional 1,087 shares period. YHB Investment Advisors . boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF 5.5 quarter. YHB Investment Advisors . owns 23,945 shares companys stock worth 757,000 acquiring additional 1,250 shares period. Finally, Ladenburg Thalmann Financial Services . boosted holdings shares First Trust Nasdaq Artificial Intelligence Robotics ETF 18.9 second quarter. Ladenburg Thalmann Financial Services . owns 19,903 shares companys stock worth 663,000 acquiring additional 3,159 shares period. Get First Trust Nasdaq Artificial Intelligence Robotics ETF alerts: Shares NASDAQ:ROBT opened 35.57 Friday. First Trust Nasdaq Artificial Intelligence Robotics ETF 12month low 28.98 12month high 36.62. The business 50 day moving average 35.04 200day moving average 32.97. Further Reading: Dividend Want hedge funds holding ROBT? Visit latest 13F filings insider trades First Trust Nasdaq Artificial Intelligence Robotics ETF NASDAQ:ROBT. Receive News Ratings First Trust Nasdaq Artificial Intelligence Robotics ETF Daily Enter email address receive concise daily summary latest news analysts ratings First Trust Nasdaq Artificial Intelligence Robotics ETF related companies FREE daily email newsletter. PREVIOUSState Michigan Retirement System Has 2.07 Million Position PRA Health Sciences NASDAQ:PRAH NEXTJanney Montgomery Scott LLC Sells 4,322 Shares SVB Financial Group NASDAQ:SIVB Latest News 191,564 Shares Atmos Energy Co. Acquired SeaTown Holdings Pte. Ltd. Diabetes Patients Advocates Fight Back Against Skyrocketing Insulin Prices Lowes Sales Earnings Miss Wall Street Expectations BHP Quitting Shale Business U.S. Alibaba Earnings Beat Revenue Driver Remains ECommerce Cisco Revenue Security Business Comes Up Short Business Stocks Technology Health Lifestyle Politics 20062020 Markets Daily
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http://business.scoop.co.nz/2020/02/26/philanthropic-contribution-valued-at-3-8b-a-year-new-report-shows/
2020-02-25T00:00:00
en
Business Scoop » Philanthropic Contribution Valued At $3.8b A Year, New Report Shows
Business Scoop » Philanthropic Contribution Valued At $3.8b A Year, New Report Shows   Contact  About  ScoopPro  Scoop Werewolf Wellington Campbell Business Pacific Community Review of Books InfoPages Home Agriculture Finance Transport ICT Economy Manufacturing Energy Policy More    Contact  About  ScoopPro Business Scoop Home Agriculture Finance Transport ICT Economy Manufacturing Energy Policy More Network Scoop Werewolf Wellington Campbell Business Pacific Community Review of Books InfoPages Business  PressRelease   Philanthropic Contribution Valued At $3.8b A Year, New Report Shows February 26, 2020PressRelease Press Release – Philanthropy New Zealand A new report on giving in New Zealand puts philanthropic spend at $3.8b a year. JBWeres New Zealand Support Report looks at the income the for-purpose sector received from philanthropy and grantmaking in 2018, including the types of givers … A new report on giving in New Zealand puts philanthropic spend at $3.8b a year. JBWere’s New Zealand Support Report looks at the income the for-purpose sector received from philanthropy and grantmaking in 2018, including the types of givers and a breakdown of the causes receiving it. The report, developed in collaboration with Philanthropy New Zealand, also highlights the significant role volunteering plays in New Zealand, valued at an additional $2b a year. JBWere’s New Zealand head, Craig Patrick said the report provides a fresh profile on giving in New Zealand. “After more than a year of research and analysis, we proudly present The New Zealand Support Report – an in-depth analysis of the changing face of giving in New Zealand. The report shows New Zealand is very strong in philanthropy and has grown significantly since earlier studies. Those who are donating continue to grow their giving at a fast rate highlighting the need for good care of existing donors. Philanthropy and other grantmaking support, through donations plus volunteering, are an essential part of the operating model of the for-purpose sector, and in turn critically support the health and well-being of our society at the margins. While donations, grants and bequests are only providing around 15% of the for-purpose sectors total income these funds have far more significance on the new opportunities for the sector to grow impact. When the value of volunteering is included, that contribution grows to over 25%. JBWere recognises the enormous contribution philanthropy and for-purpose organisations make to New Zealand. We hope the report helps all those who work in or support this important sector.” Philanthropy New Zealand’s Chief Executive Sue McCabe welcomed the report. “The giving sector is diverse and changing as it responds to the evolving needs of society, preferences of givers, and options available to give to. Data is important to inform us of the changing picture so we welcome JBWere’s comprehensive analysis of the available information. “The contribution that New Zealanders who generously give time and money make, as well as the organised philanthropists and grant-makers, is significant. Therefore it’s important that we quantify and tell the story of what all this generosity adds up to. “We know New Zealand is a generous country in many ways as we rank highly in global giving indexes. The New Zealand Support Report digs underneath those headline numbers to show us who are the givers in New Zealand and which causes are doing the best from philanthropy and grant making.” Content Sourced from scoop.co.nz Original url Scoop readers - Help to support quality, independent news & journalism that is freely available to the public. Become a Supporter Professionals - 'At work' users of Scoop need to have a ScoopPro licence, this keeps Scoop open and licensed users enjoy pro news tools. More about ScoopPro No comments yet. Write a comment: Name (required) E-Mail (will not be published)(required) Website (optional)  Submit News   Scoop on Facebook   Scoop on Twitter   Latest Business news Meridian Energy Delivers Record Interim Result Electronic Traffic Control Is Safer For Roadside Operators Bsa Releases Refreshed Election Programmes Code Of Broadcasting Practice Ahead Of 2020 Election Reserve Bank Launches New Payment Settlement System Personalised Car-shopping Service Gets Customers Back On The Road Faster Bell Gully Named Finalist In Three Categories At Client Choice Awards 2020 MedicAlert® Foundation Acts To Stop The Promotion Of Copycat Medical IDs That Risk Consumers Health Should I Stay Or Should I Go? – $2 An Hour Makes All The Difference Volume Of Spirit-based Drinks Available Up Five Years In A Row NASA Balloon Team Sets Up For Around-The-World Test Flight From New Zealand Perceptive welcomes two new Business Directors Qrious Supports Emerging Talent To Innovate With Ai Philanthropic Contribution Valued At $3.8b A Year, New Report Shows Scales Corporation Delivers Record Profit Result And Continuing Positive Momentum Air New Zealand To Put Economy Travellers To Sleep       Recent Comments Lan: Unbelievable that a WEST AUSTR... jackp: Murray, when Key is involved t... Murray Guy: There are no boundaries when i... Lan: Canada & EU do it..Bryce ... Lan: I read somewhere that they do ... Simon Johnson: The former Department of Labou... Andrew P Nichols: Long overdue. Nowhere else in ... Rafi: I look forward to Mr Lees-Gall... Kevin McMahon: Yes, good on Lord Monckton. ... Bee: How do you think Kim Jon Key m... Blogroll China Economic Scan Compare house prices Deposit Rates Direct Broking – NZX & ASX Trading & Prices Findata – Market Data Good Returns Herald Business Interest.co.nz – Interest Rates News & Views National Business Review Property Talk Sharechat Stuff Business Value Cruncher – NZX  Contact  About  Services  Scoop Contact About Services Newsagent Connect Submit News Social Media Scoop Network Scoop Foundation Ethical Paywall Accredited Orgs. Licensing Terms of Use Apply for a licence © Scoop Media  
Business Scoop » Philanthropic Contribution Valued At $3.8b A Year, New Report Shows
Business Scoop Philanthropic Contribution Valued At 3.8b A Year, New Report Shows About ScoopPro Scoop Werewolf Wellington Campbell Business Pacific Community Review Books InfoPages Home Agriculture Finance Transport ICT Economy Manufacturing Energy Policy More About ScoopPro Business Scoop Home Agriculture Finance Transport ICT Economy Manufacturing Energy Policy More Network Scoop Werewolf Wellington Campbell Business Pacific Community Review Books InfoPages Business PressRelease Philanthropic Contribution Valued At 3.8b A Year, New Report Shows February 26, 2020PressRelease Press Release Philanthropy New Zealand A new report giving New Zealand puts philanthropic spend 3.8b year. JBWeres New Zealand Support Report looks income forpurpose sector received philanthropy grantmaking 2018, including types givers A new report giving New Zealand puts philanthropic spend 3.8b year. JBWeres New Zealand Support Report looks income forpurpose sector received philanthropy grantmaking 2018, including types givers breakdown causes receiving it. The report, developed collaboration Philanthropy New Zealand, highlights significant role volunteering plays New Zealand, valued additional 2b year. JBWeres New Zealand head, Craig Patrick said report provides fresh profile giving New Zealand. After year research analysis, proudly present The New Zealand Support Report indepth analysis changing face giving New Zealand. The report shows New Zealand strong philanthropy grown significantly earlier studies. Those donating continue grow giving fast rate highlighting need good care existing donors. Philanthropy grantmaking support, donations plus volunteering, essential operating model forpurpose sector, turn critically support health wellbeing society margins. While donations, grants bequests providing 15 forpurpose sectors total income funds far significance new opportunities sector grow impact. When value volunteering included, contribution grows 25. JBWere recognises enormous contribution philanthropy forpurpose organisations New Zealand. We hope report helps work support important sector. Philanthropy New Zealands Chief Executive Sue McCabe welcomed report. The giving sector diverse changing responds evolving needs society, preferences givers, options available to. Data important inform changing picture welcome JBWeres comprehensive analysis available information. The contribution New Zealanders generously time money make, organised philanthropists grantmakers, significant. Therefore important quantify tell story generosity adds to. We know New Zealand generous country ways rank highly global giving indexes. The New Zealand Support Report digs underneath headline numbers givers New Zealand causes best philanthropy grant making. Content Sourced .nz Original url Scoop readers Help support quality, independent news journalism freely available public. Become Supporter Professionals At work users Scoop need ScoopPro licence, keeps Scoop open licensed users enjoy pro news tools. More ScoopPro No comments yet. Write comment: Name required EMail publishedrequired Website optional Submit News Scoop Facebook Scoop Twitter Latest Business news Meridian Energy Delivers Record Interim Result Electronic Traffic Control Is Safer For Roadside Operators Bsa Releases ed Election Programmes Code Of Broadcasting Practice Ahead Of 2020 Election Reserve Bank Launches New Payment Settlement System Personalised Carshopping Service Gets Customers Back On The Road Faster Bell Gully Named Finalist In Three Categories At Client Choice Awards 2020 MedicAlert Foundation Acts To Stop The Promotion Of Copycat Medical IDs That Risk Consumers Health Should I Stay Or Should I Go? 2 An Hour Makes All The Difference Volume Of Spiritbased Drinks Available Up Five Years In A Row NASA Balloon Team Sets Up For AroundTheWorld Test Flight From New Zealand Perceptive welcomes new Business Directors Qrious Supports Emerging Talent To Innovate With Ai Philanthropic Contribution Valued At 3.8b A Year, New Report Shows Scales Corporation Delivers Record Profit Result And Continuing Positive Momentum Air New Zealand To Put Economy Travellers To Sleep Recent Comments Lan: Unbelievable WEST AUSTR... jackp: Murray, Key involved t... Murray Guy: There boundaries i... Lan: Canada EU it..Bryce ... Lan: I read ... Simon Johnson: The Department Labou... Andrew P Nichols: Long overdue. Nowhere ... Rafi: I look forward Mr LeesGall... Kevin McMahon: Yes, good Lord Monckton. ... Bee: How think Kim Jon Key m... Blogroll China Economic Scan Compare house prices Deposit Rates Direct Broking NZX ASX Trading Prices Findata Market Data Good Returns Herald Business .nz Interest Rates News Views National Business Review Property Talk Sharechat Stuff Business Value Cruncher NZX About Services Scoop About Services Newsagent Connect Submit News Social Media Scoop Network Scoop Foundation Ethical Paywall Accredited Orgs. Licensing Terms Use Apply licence Scoop Media
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1
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https://www.wired.com/story/ai-meme-generator-coronavirus/
2020-04-29T00:00:00
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Imgflip's AI Meme Generator Gives Us the Absurdist Art We All Need | WIRED
Imgflip's AI Meme Generator Gives Us the Absurdist Art We All Need | WIRED Skip to main contentOpen Navigation MenuMenuStory SavedTo revisit this article, visit My Profile, then View saved stories.Close AlertCloseAn AI Meme Generator Gives Us the Absurdist Art We All NeedBusinessCultureGearIdeasScienceSecurityTransportationMoreChevronStory SavedTo revisit this article, select My⁠ ⁠Account, then View saved stories.Close AlertCloseSign InSubscribeSearchSearchBusinessCultureGearIdeasScienceSecurityTransportationAngela Watercutter Culture04.29.2020 04:37 PMAn AI Meme Generator Gives Us the Absurdist Art We All NeedSocial media’s new favorite distraction feels as disjointed and surreal as the current moment. Fire it up.FacebookTwitterEmailThis isn't the Distracted Boyfriend meme, but Imgflip's AI meme generator can make one for you. Photograph: Antonio Guillem/Getty ImagesFacebookTwitterEmailDrake advocating a coup. Distracted Boyfriend casting his gaze toward carbs. Leonardo DiCaprio suggesting it’s time to have a dick. Truly none of these things make sense. Yet as people worldwide are fully in their second month of coronavirus quarantine (or should be), they’re all oddly hilarious notions. Perhaps it’s stir-craziness, but the images burped out by the AI meme generator—a recently added feature of the site Imgflip—make a random kind of sense. At a time when nothing is rational or orderly (somehow, large gatherings of people are threatening herd immunity, know what I mean?), jokes created by machine learning aren’t what anyone would call “good” or “hilarious,” but they do reflect a certain kind of fractured collective psyche. Why not enjoy them? If AI can’t stop this pandemic, the least it can do is provide some absurdist art.Related StoriesDigital Culture Is It OK to Make Coronavirus Memes and Jokes?Year in ReviewThe 8 Most Important Memes of 2019BraaainsWhat Zombie Movies Say About This 'Zombie' 'Apocalypse'Titled, wryly, This Meme Does Not Exist, the tool is very simple: Select from one of dozens of popular memes and let the generator do the rest. Pick Dave Chappelle’s Tyrone Biggums’ Y’all Got Any More of That meme and it’ll spit out something about emails. Choose Yoda and he’ll come back with a joke about your mom. The actual words themselves come from a corpus of some 100 million captions submitted to Imgflip’s meme generator. To keep things simple, the site trained its AI using just the 48 most popular memes and 20,000 captions per meme, for 960,000 captions total. “However, since we are building a generational model there will be one training example for each character in the caption, totaling ~45,000,000 training examples,” Imgflip founder Dylan Wenzlau wrote in a very thorough blog post describing the tool’s creation. “Character-level generation rather than word-level was chosen here because memes tend to use spelling and grammar … uh … creatively.” Put another way, the machine doesn’t generate each meme word by word but character by character. Hence really complex—and at times bizarre—word combinations. Memes used creative syntax to begin with; having it fed into an AI and regenerated makes it look like something put through Google Translate too many times.It also looks like something akin to art. There’s an almost collage-like aspect to the images the meme generator is producing, like it’s feeding the internet’s twisted humor back to it as a form of commentary. The computer didn’t just look at DiCaprio and think, “Hm, something about dicks … ?” It came up with that based on things others had already said. Same with Distracted Boyfriend and bread. There’s something inherently surrealist about it. The project’s name invokes other AI image experiments like This Person Does Not Exist or This Cat Does Not Exist, but it also seems to echo "This is not a pipe." The early 20th century had Magritte; the early 21st century has memes. The treachery of images remains the same.The WIRED Guide to MemesBy Angela Watercutter and Emma Grey Ellis That is likely why the AI meme generator has taken off. Wenzlau posted his first paper on the project a little over a year ago, and researchers at Stanford have been using machine learning to make memes for nearly two years. Yet it’s only been recently, perhaps even in the last 24 hours, that social media has latched onto these memes. Such are the ways of the internet; memes that fall in the woods don’t get LOLs, memes that land on Twitter do.That said, this time feels most ripe for this kind of humor. Amid coronavirus’s virulent march, lockdowns, protests against lockdowns, and daily White House briefings that feel disconnected from the experiences of everyday Americans, everything feels absurdist. There is senseless death, and even more senseless politicking around it. People are turning to social media in droves to find connection and maybe relief. Some laughs would help, but the web’s collective sense of humor feels tapped out. Joking about a pandemic can be a much needed release, but who wants to crack wise? Maybe it’s time to let the computers take this one.AdvertisementAnd why not? As the stay-at-home orders persist, there has been talk of robots doing automated tasks to fill the void. This is often a double-edged sword: The rise of the machines means bots, who can’t catch disease, can protect workers by ensuring they can stay inside, away from Covid-19; it also means they could take jobs humans never get back. It could mean AI does the office work you don’t want. It could also mean algorithms are moderating Facebook, Twitter, and YouTube with less-than-stellar results. AI could also create new gigs entirely. There are a lot of unknowns. In the case of memes, however, perhaps relying on computers isn’t such a bad idea. In the case of This Meme Does Not Exist, AI isn’t taking the job of creating humor, it’s just removing the grunt work of making things to which humans, with all their wit, attribute humor. In the middle of a pandemic, it’s hard to find things funny. Imgflip’s tool finds them for you. It does a good thing, even if it doesn’t know how to do, like, all the things.More Great WIRED StoriesThe devastating decline of a brilliant young coderThe rise of a Hindu vigilante in the age of WhatsApp and ModiBuild cities for bikes, buses, and feet—not carsEverything you need to work from home like a proWhy don’t we just ban targeted advertising?👁 AI uncovers a potential Covid-19 treatment. Plus: Get the latest AI news🏃🏽‍♀️ Want the best tools to get healthy? Check out our Gear team’s picks for the best fitness trackers, running gear (including shoes and socks), and best headphonesAngela Watercutter is a senior editor at WIRED covering pop culture. She also serves as the publication's deputy bureau chief in New York. Prior to joining WIRED she was a reporter for the Associated Press. Watercutter was also a senior editor of Longshot magazine and a contributor to Pop-Up Magazine.... Read moreSenior EditorTwitterFeatured Video5 Mistakes to Avoid as We Try to Stop Covid-19As we look forward during the Covid-19 outbreak, some governors are already talking about opening some businesses back up. Is it too early? Rushing to open could lead to a deadly second wave of infections and could be a massive error. Dr. Seema Yasmin outlines some critical mistakes that we should try to avoid while fighting the Covid-19 pandemic.TopicsmemescoronavirusCOVID-19WIRED is where tomorrow is realized. It is the essential source of information and ideas that make sense of a world in constant transformation. The WIRED conversation illuminates how technology is changing every aspect of our lives—from culture to business, science to design. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries.FacebookTwitterPinterestYoutubeInstagramMore From WIREDSubscribeNewslettersFAQWired StaffPress CenterContactAdvertiseContact UsCustomer CareSend a tip securely to WIREDJobsRSSSite MapAccessibility HelpCondé Nast Store© 2020 Condé Nast. All rights reserved. Use of this site constitutes acceptance of our User Agreement (updated 1/1/20) and Privacy Policy and Cookie Statement (updated 1/1/20) and Your California Privacy Rights. Do Not Sell My Personal Information Wired may earn a portion of sales from products that are purchased through our site as part of our Affiliate Partnerships with retailers. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of Condé Nast. Ad Choices
Imgflip's AI Meme Generator Gives Us the Absurdist Art We All Need
Imgflips AI Meme Generator Gives Us Absurdist Art We All Need WIRED Skip main contentOpen Navigation MenuMenuStory SavedTo revisit article, visit My Profile, View saved stories.Close AlertCloseAn AI Meme Generator Gives Us Absurdist Art We All NeedBusinessCultureGearIdeasScienceSecurityTransportationMoreChevronStory SavedTo revisit article, select MyAccount, View saved stories.Close AlertCloseBusinessCultureGearIdeasScienceSecurityTransportationAngela Watercutter Culture04.29.2020 04:37 PMAn AI Meme Generator Gives Us Absurdist Art We All NeedSocial medias new favorite distraction feels disjointed surreal current moment. Fire up.FacebookTwitterEmailThis isnt Distracted Boyfriend meme, Imgflips AI meme generator you.Photograph: Antonio GuillemGetty ImagesFacebookTwitterEmailDrake advocating coup. Distracted Boyfriend casting gaze carbs. Leonardo DiCaprio suggesting time dick. Truly things sense. Yet people worldwide fully second month coronavirus quarantine be, theyre oddly hilarious notions. Perhaps stircraziness, images burped AI meme generatora recently added feature site Imgflipmake random kind sense. At time rational orderly somehow, large gatherings people threatening herd immunity, know I mean?, jokes created machine learning arent good hilarious, reflect certain kind fractured collective psyche. Why enjoy them? If AI stop pandemic, provide absurdist art.Related StoriesDigital Culture Is It OK Make Coronavirus Memes Jokes?Year ReviewThe 8 Most Important Memes 2019BraaainsWhat Zombie Movies Say About This Zombie ApocalypseTitled, wryly, This Meme Does Not Exist, tool simple: Select dozens popular memes let generator rest. Pick Dave Chappelles Tyrone Biggums Yall Got Any More That meme itll spit emails. Choose Yoda hell come joke mom. The actual words come corpus 100 million captions submitted Imgflips meme generator. To things simple, site trained AI 48 popular memes 20,000 captions meme, 960,000 captions total. However, building generational model training example character caption, totaling 45,000,000 training examples, Imgflip founder Dylan Wenzlau wrote thorough blog post describing tools creation. Characterlevel generation wordlevel chosen memes tend use spelling grammar uh creatively. Put way, machine doesnt generate meme word word character character. Hence complexand times bizarreword combinations. Memes creative syntax begin with; fed AI regenerated makes look like Google Translate times.It looks like akin art. Theres collagelike aspect images meme generator producing, like feeding internets twisted humor form commentary. The didnt look DiCaprio think, Hm, dicks ? It came based things said. Same Distracted Boyfriend bread. Theres inherently surrealist it. The projects invokes AI image experiments like This Person Does Not Exist This Cat Does Not Exist, echo This pipe. The early 20th century Magritte; early 21st century memes. The treachery images remains same.The WIRED Guide MemesBy Angela Watercutter Emma Grey Ellis That likely AI meme generator taken off. Wenzlau posted paper project little year ago, researchers Stanford machine learning memes nearly years. Yet recently, 24 hours, social media latched memes. Such ways internet; memes fall woods dont LOLs, memes land Twitter do.That said, time feels ripe kind humor. Amid coronaviruss virulent march, lockdowns, protests lockdowns, daily White House briefings feel disconnected experiences everyday Americans, feels absurdist. There senseless death, senseless politicking it. People turning social media droves connection maybe relief. Some laughs help, webs collective sense humor feels tapped out. Joking pandemic needed release, wants crack wise? Maybe time let computers one.AdvertisementAnd not? As stayathome orders persist, talk robots automated tasks void. This doubleedged sword: The rise machines means bots, catch disease, protect workers ensuring stay inside, away Covid19; means jobs humans back. It mean AI office work dont want. It mean algorithms moderating Facebook, Twitter, YouTube lessthanstellar results. AI create new gigs entirely. There lot unknowns. In case memes, however, relying computers isnt bad idea. In case This Meme Does Not Exist, AI isnt taking job creating humor, removing grunt work making things humans, wit, attribute humor. In middle pandemic, hard things funny. Imgflips tool finds you. It good thing, doesnt know do, like, things.More Great WIRED StoriesThe devastating decline brilliant young coderThe rise Hindu vigilante age WhatsApp ModiBuild cities bikes, buses, feetnot carsEverything need work home like proWhy dont ban targeted advertising? AI uncovers potential Covid19 treatment. Plus: Get latest AI news Want best tools healthy? Check Gear teams picks best fitness trackers, running gear including shoes socks, best headphonesAngela Watercutter senior editor WIRED covering pop culture. She serves publications deputy bureau chief New York. Prior joining WIRED reporter Associated Press. Watercutter senior editor Longshot magazine contributor PopUp Magazine.... Read moreSenior EditorTwitterFeatured Video5 Mistakes Avoid We Try Stop Covid19As look forward Covid19 outbreak, governors talking opening businesses up. Is early? Rushing open lead deadly second wave infections massive error. Dr. Seema Yasmin outlines critical mistakes try avoid fighting Covid19 pandemic.TopicsmemescoronavirusCOVID19WIRED tomorrow realized. It essential source information ideas sense world constant transformation. The WIRED conversation illuminates technology changing aspect livesfrom culture business, science design. The breakthroughs innovations uncover lead new ways thinking, new connections, new industries.FacebookTwitterPinterestYoutubeInstagramMore From WIREDNewslettersFAQWired StaffPress CenterAdvertise UsCustomer CareSend tip securely WIREDJobsRSSSite MapAccessibility HelpCond Nast Store 2020 Cond Nast. . Use site constitutes acceptance User Agreement updated 1120 Statement updated 1120 Your California Privacy Rights. Do Not Sell My Personal Information Wired earn portion sales products purchased site Affiliate Partnerships retailers. The material site reproduced, distributed, transmitted, cached used, prior written permission Cond Nast. Ad Choices
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https://businessnewswales.com/cardiff-artificial-intelligence-specialists-appoint-former-sharp-uk-md/
2020-11-09T00:00:00
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Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD
Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Home Sectors Health Technology Technology Transport & Logistics Rural Enterprise Built Environment Manufacturing Food & Drink Energy & Environment Financial Services Hospitality & Tourism Public Sector Regions Cardiff Capital Region Pembrokeshire South West Wales Carmarthenshire Neath Port Talbot Swansea Mid Wales North Wales Business Zone Podcast Hub Startup Wales Appointments Wales Responsible Business Finance and Investment HR and People Coronavirus About Us Subscribe Contact Us Privacy Policy About Us Subscribe Contact Us Privacy Policy Showcasing the Best of Welsh Business Home Sectors Health Technology Transport & Logistics Technology Rural Enterprise Built Environment Manufacturing Food & Drink Energy & Environment Financial Services Hospitality & Tourism Public Sector Regions Cardiff Capital Region Pembrokeshire South West Wales Carmarthenshire Neath Port Talbot Swansea Mid Wales North Wales Business Zone Podcast Hub Startup Wales Appointments Wales Responsible Business Finance and Investment HR and People Coronavirus Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Appointments Home Page Original Content SHARE Appointments Wales , 9th November 2020 The former Managing Director of Sharp UK and General Manager of Marketing at Sony UK is joining Cardiff headquartered Bot-Hive, the world’s largest online platform for robotics and automation technology. Paul Hide’s appointment as Strategic Advisor on the company’s commercial strategy is a significant boost to a firm that was created in 2019, and connects companies, organisations and individuals with leading automation products and general robotics industry information. Bot-Hive has based itself in Wales with the support of the Welsh Government and the Development Bank of Wales, with offices in Bristol and Amsterdam.  The appointment itself has come through the strong network that the Development Bank of Wales has provided for the Bot-Hive team, since investing equity into the company earlier this year. Paul Hide – Bot-Hive Bot-Hive co-founder and CEO Jacques Bonfrer said: “Paul brings with him a wealth of knowledge and experience that will greatly add to what we are achieving at Bot-Hive. In all of Paul's past and current roles, automation has been a key entity within the teams and organisations he has been responsible for. We are all very much looking forward to working closely with him.” Paul is the first of three new appointments to be announced in the coming months as Bot-Hive looks to strengthen its position in the market as a new channel partner for robotics manufacturers, integrators and organisations who are looking to onboard robotics into their workflows. Major customers include Japanese group Fanuc, and international technology group, Schunk. Paul brings with him over 30 years of Tech Sector experience, and is currently CEO of the Association of Manufacturers of Domestic Appliances (AMDEA), having previously served as Chief Operating Officer of Tech UK, the UK's leading technology trade association. Paul said: “I’m delighted to be given the opportunity to work with the Bot-Hive team. Industrial Automation is the fourth revolution of manufacturing and supply chain optimisation with AI and Robotics playing a critical role in enabling new solutions. The possibilities are immense and Bot-Hive is well positioned to be a leading player in facilitating this new world.” Col Batten of the Development Bank of Wales said: “Paul brings huge industry experience and a great network to Bot-Hive. His appointment is testament to our shared belief that this exciting tech start-up really is driving the global robotics sector from the heart of Wales. We’re delighted to have made the introduction.” SHARE Next ArticleBusinesses Urged to Play Key Roles in City Regeneration Catalyst Previous ArticleVirtual Event on Challenges For Wales’s Livestock and Red Meat Industry Appointments Wales Showcasing the latest appointments from across Wales.   Related Articles Liz Andrews Appointed New Chief Executive for City Hospice Gareth Williams Appointed as Chairman of Glamorgan Cricket New Board Member and Chief Financial Officer for GlobalWelsh   About Business News Wales In creating Business News Wales, we aim to provide a voice for all Welsh businesses. With no political views or editorial agenda, our goal is to create the number one based source of business news in Wales, creating a level playing field for every business no matter of its size. InformationAbout Us Subscribe Contact Us Privacy Policy Latest Articles Coronavirus Will Fuel Rise in Employee Ownership in Wales Social Business Wales, 9th November 2020 Welsh Firms Invited to EU Transition Discussion with UK Government Mark Powney, 9th November 2020 Firebreak Lockdown in Wales Ends Welsh Government, 9th November 2020 Welsh Business Activity Contracts at Fastest Rate Since May Natwest Cymru, 9th November 2020 Continually Improving Performance Through Agile Working Box UK, 9th November 2020 Business News Wales from Business News Wales on Vimeo. © 2020 Business News Wales Ltd.
Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD
Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Home Sectors Health Technology Technology Transport Logistics Rural Enterprise Built Environment Manufacturing Food Drink Energy Environment Financial Services Hospitality Tourism Public Sector Regions Cardiff Capital Region Pembrokeshire South West Wales Carmarthenshire Neath Port Talbot Swansea Mid Wales North Wales Business Zone Podcast Hub Startup Wales Appointments Wales Responsible Business Finance Investment HR People Coronavirus Us Us Showcasing Best Welsh Business Home Sectors Health Technology Transport Logistics Technology Rural Enterprise Built Environment Manufacturing Food Drink Energy Environment Financial Services Hospitality Tourism Public Sector Regions Cardiff Capital Region Pembrokeshire South West Wales Carmarthenshire Neath Port Talbot Swansea Mid Wales North Wales Business Zone Podcast Hub Startup Wales Appointments Wales Responsible Business Finance Investment HR People Coronavirus Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Cardiff Artificial Intelligence Specialists Appoint Former Sharp UK MD Appointments Home Page Original Content SHARE Appointments Wales , 9th November 2020 The Managing Director Sharp UK General Manager Marketing Sony UK joining Cardiff headquartered BotHive, worlds largest online platform robotics automation technology. Paul Hides appointment Strategic Advisor companys commercial strategy significant boost firm created 2019, connects companies, organisations individuals leading automation products general robotics industry information. BotHive based Wales support Welsh Government Development Bank Wales, offices Bristol Amsterdam. The appointment come strong network Development Bank Wales provided BotHive team, investing equity company earlier year. Paul Hide BotHive BotHive cofounder CEO Jacques Bonfrer said: Paul brings wealth knowledge experience greatly add achieving BotHive. In Pauls past current roles, automation key entity teams organisations responsible for. We looking forward working closely him. Paul new appointments announced coming months BotHive looks strengthen position market new channel partner robotics manufacturers, integrators organisations looking onboard robotics workflows. Major customers include Japanese group Fanuc, international technology group, Schunk. Paul brings 30 years Tech Sector experience, currently CEO Association Manufacturers Domestic Appliances AMDEA, previously served Chief Operating Officer Tech UK, UKs leading technology trade association. Paul said: Im delighted given opportunity work BotHive team. Industrial Automation fourth revolution manufacturing supply chain optimisation AI Robotics playing critical role enabling new solutions. The possibilities immense BotHive positioned leading player facilitating new world. Col Batten Development Bank Wales said: Paul brings huge industry experience great network BotHive. His appointment testament shared belief exciting tech startup driving global robotics sector heart Wales. Were delighted introduction. SHARE Next ArticleBusinesses Urged Play Key Roles City Regeneration Catalyst Previous ArticleVirtual Event Challenges For Waless Livestock Red Meat Industry Appointments Wales Showcasing latest appointments Wales. Related Articles Liz Andrews Appointed New Chief Executive City Hospice Gareth Williams Appointed Chairman Glamorgan Cricket New Board Member Chief Financial Officer GlobalWelsh About Business News Wales In creating Business News Wales, aim provide voice Welsh businesses. With political views editorial agenda, goal create number based source business news Wales, creating level playing field business matter size. Information Us Latest Articles Coronavirus Will Fuel Rise Employee Ownership Wales Social Business Wales, 9th November 2020 Welsh Firms Invited EU Transition Discussion UK Government Mark Powney, 9th November 2020 Firebreak Lockdown Wales Ends Welsh Government, 9th November 2020 Welsh Business Activity Contracts Fastest Rate Since May Natwest Cymru, 9th November 2020 Continually Improving Performance Through Agile Working Box UK, 9th November 2020 Business News Wales Business News Wales Vimeo. 2020 Business News Wales Ltd.
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https://www.fark.com/comments/10702195?utm_source=feed&utm_medium=comments&utm_campaign=fark
2020-02-05T00:00:00
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FARK.com: (10702195) When it comes to Wuhan Coronavirus, who ya gonna trust, an artificial intelligence prognosis of 2.5 billion infected in 45 days...or your lying eyes?
FARK.com: (10702195) When it comes to Wuhan Coronavirus, who ya gonna trust, an artificial intelligence prognosis of 2.5 billion infected in 45 days...or your lying eyes? Skip to content Do you have adblock enabled?   Try Ads-Free Fark Report It's Not News, It's Fark How To Fark Log In  |  Sign Up » Login Password Forgot password? X Fark TotalFark myFark About/FArQ Contests Store (new!) Contact Us Mobile Search: Password Login Turn on javascript (or enable it for Fark) for a better user experience. If you can read this, either the style sheet didn't load or you have an older browser that doesn't support style sheets. Try clearing your browser cache and refreshing the page. Main Discussion Sports Business Geek Entertainment D'awww Food Politics Podcast   When it comes to Wuhan Coronavirus, who ya gonna trust, an artificial intelligence prognosis of 2.5 billion infected in 45 days...or your lying eyes?   (forbes.com) 59     More: Interesting, Infection, Transmission and infection of H5N1, Death, Mortality rate, Population, infected person, Mortality displacement, Neural network   •       •       • 1750 clicks; posted to Main » on 05 Feb 2020 at 1:59 PM (1 hour ago)   |   Favorite   |   Watch    |   share:    more» Share this link: URL: https://fark.com/go/10702195 Bookmark: URL: https://fark.com/10702195 Bookmark: Article Comments close 59 Comments     (+0 ») Paginated (50/page) Single page, reversed Normal view Change images to links Show raw HTML   Enable JavaScript for Fark in order to vote for entries. Log in (at the top of the page) to enable voting. View Voting Results: Smartest and Funniest Oldest | « | 1 | 2 | » | Newest | Show all  Ghastly ‘’ 1 hour ago   Don't blame me. I voted for President Madagascar.   bikkurikun ‘’ 1 hour ago   " Coronavirus Could Infect 2.5 Billion"And I could win the lottery tomorrow.   abhorrent1 ‘’ 1 hour ago   BUT THE FLU IS WORSE!!!!/just getting that out of the way.   Nastinka ‘’ 1 hour ago   Is this an Eagles thread?   GungFu ‘’ 1 hour ago   " 2.5 billion infected in 45 days... "/"if you don't die from diabeetus first"   Millennium ‘’ 1 hour ago     Ivo Shandor ‘’ 1 hour ago   AI: "Oh, that was not a prediction."(sound effect of a small fleet of drones taking off as distant alarm bells begin to ring)   MikeyFuccon ‘’ 1 hour ago     DubtodaIll ‘’ 1 hour ago   but does it know the location of the remaining golden tickets?   tricycleracer ‘’ 1 hour ago   I'm sure the AI also predicted cats and dogs living together and mass hysteria.   brantgoose ‘’ 1 hour ago   I thought it was 28 days later. No, wait. That is a movie I haven't watched yet. No Spoilers.   Sword and Shield ‘’ 1 hour ago   bikkurikun: " Coronavirus Could Infect 2.5 Billion"And I could win the lottery tomorrow.It's a problematic question.If we accept as true that it has an asymptomatic infectious period of approximately 14 days, that's a major problem. People move. I just spent a week at Disney, with two commercial flights- how many people could I have infected in 7 days? If you infect a TSA agent, a Disney Cast Member or a flight attendant, how many people can they infect in 14 days? How many of those feel fine, and head home to wherever, all the while infecting others?   brantgoose ‘’ 1 hour ago   tricycleracer: I'm sure the AI also predicted cats and dogs living together and mass hysteria.The same AI predicted that Donald Trump would be the most belovèd President since Adolf Hitler. In 2014.   Ashelth ‘’ 1 hour ago   Models and projections have a use.  But are useless until you know how reality matches the models.The machine learning generated model used what parameters?  What length of asymptomic infection, what lag time between infection and shedding of infectious virions, half life of virions in the environment how many virions needed to establish a new infection.   farkingismybusiness ‘’ 1 hour ago   Wuhan got you all in check.   brantgoose ‘’ 1 hour ago   2.5 billion infected. So like Herpes?   stevenboof ‘’ 1 hour ago   brantgoose: I thought it was 28 days later. No, wait. That is a movie I haven't watched yet. No Spoilers.I really don't want to spoil it for you, but, he fixes the cable.   Derp Du Jour ‘’ 1 hour ago   Was this A.I. modelo made especial for the Wuhan Coronavirus???   CarnySaur ‘’ 1 hour ago   And kill 53 million?  That's better odds than winning Powerball!   I hereby demand that I be given a Fark account ‘’ 1 hour ago   Sword and Shield: People move. I just spent a week at Disney, with two commercial flights- how many people could I have infected in 7 days?That's kind of my worst case scenario. It gets rolling at WDW, asymptotically infecting people, who then go home and a week or so later, fall ill. Since very few are actually ill in the parks, nothing slows it down.It's also why checking for fevers won't stop anything, by the time they have a fever they've been infectious for over a week.   Rapmaster2000 ‘’ 1 hour ago   At that rate, it would be everyone in about 47 days.  So you're dead in less than two months.   Eirik ‘’ 1 hour ago   Sword and Shield: bikkurikun: " Coronavirus Could Infect 2.5 Billion"And I could win the lottery tomorrow.It's a problematic question.If we accept as true that it has an asymptomatic infectious period of approximately 14 days, that's a major problem. People move. I just spent a week at Disney, with two commercial flights- how many people could I have infected in 7 days? If you infect a TSA agent, a Disney Cast Member or a flight attendant, how many people can they infect in 14 days? How many of those feel fine, and head home to wherever, all the while infecting others?Isn't that exactly the scenario of the first infected person in Baltimore in the movie "12 Monkeys"?  The TSA agent doesn't know what the vials are supposed to contain, so the terrorist allows him to open on to see that they are harmless.  It's implied that he's patient 0.   doctorguilty ‘’ 1 hour ago   "I am Watson. You are totally boned. Resistance is futile."   Rapmaster2000 ‘’ 1 hour ago   brantgoose: I thought it was 28 days later. No, wait. That is a movie I haven't watched yet. No Spoilers.Snape kills Han Solo.   montreal_medic ‘’ 1 hour ago   Rapmaster2000: At that rate, it would be everyone in about 47 days.  So you're dead in less than two months.And in six months, more people than have ever been alive are infected, with the death count of over 12 billion.... assuming the teen holds   emiliogtz ‘’ 1 hour ago   Nastinka: Is this an Eagles thread?Could have been.   montreal_medic ‘’ 1 hour ago   montreal_medic: Rapmaster2000: At that rate, it would be everyone in about 47 days.  So you're dead in less than two months.And in six months, more people than have ever been alive are infected, with the death count of over 12 billion.... assuming the teen holdsThe trend holds. Wow. Autocorrect fail.   Eirik ‘’ 1 hour ago   I hereby demand that I be given a Fark account: Sword and Shield: People move. I just spent a week at Disney, with two commercial flights- how many people could I have infected in 7 days?That's kind of my worst case scenario. It gets rolling at WDW, asymptotically infecting people, who then go home and a week or so later, fall ill. Since very few are actually ill in the parks, nothing slows it down.It's also why checking for fevers won't stop anything, by the time they have a fever they've been infectious for over a week.The thing about checking for fevers now is that the idea of an infectious period before symptoms is still an open question.  Until you know for sure, you have to keep doing what you know.  If you stop the fever testing and later find out the symptom-less spread was false, then you'll feel so silly!   Hachitori ‘’ 1 hour ago   Fark extrapolation..."The "back half of the chessboard" is a reference to the old story about the inventor of chess. As the story goes, when chess was presented to a great king, the king offered the inventor any reward that he wanted. The inventor asked that a single grain of rice be placed on the first square of the chessboard. Then two grains on the second square, four grains on the third, and so on. Doubling each time.The king, baffled by such a small price for a wonderful game, immediately agreed, and ordered the treasurer to pay the agreed upon sum. A week later, the inventor went before the king and asked why he had not received his reward. The king, outraged that the treasurer had disobeyed him, immediately summoned him and demanded to know why the inventor had not been paid. The treasurer explained that the sum could not be paid - by the time you got even halfway through the chessboard, the amount of grain required was more than the entire kingdom possessed."   Cornelis de Gyselaer ‘’ 1 hour ago   *Comes in, looks around*Infected !=deadDeath toll is still 2.5%   tricycleracer ‘’ 1 hour ago   Rapmaster2000: At that rate, it would be everyone in about 47 days.  So you're dead in less than two months.In that case I'll hold off on filing my taxes.   ifky ‘’ 1 hour ago   DubtodaIll: but does it know the location of the remaining golden tickets?That would be cheating.....   swamp_of_dumb ‘’ 1 hour ago   abhorrent1: BUT THE FLU IS WORSE!!!!/just getting that out of the way.IHAVE A MASK AND AM THEREFORE SAFE*./does not have the skightest plan fir decontamination, storage, or plan to dispose of contaminated cartridges/have spare cartridges//just wanted to get that out of the way///Maine's scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0   pounddawg ‘’ 1 hour ago   Hachitori: Fark extrapolation..."The "back half of the chessboard" is a reference to the old story about the inventor of chess. As the story goes, when chess was presented to a great king, the king offered the inventor any reward that he wanted. The inventor asked that a single grain of rice be placed on the first square of the chessboard. Then two grains on the second square, four grains on the third, and so on. Doubling each time.The king, baffled by such a small price for a wonderful game, immediately agreed, and ordered the treasurer to pay the agreed upon sum. A week later, the inventor went before the king and asked why he had not received his reward. The king, outraged that the treasurer had disobeyed him, immediately summoned him and demanded to know why the inventor had not been paid. The treasurer explained that the sum could not be paid - by the time you got even halfway through the chessboard, the amount of grain required was more than the entire kingdom possessed."I had my 4th grade teacher explain that to us this way.... Would you work for a penny day for a month if it was doubled everyday...... Most all the kids said no. Then he went on......01,.02,.04,.08,.16,.32,.etc...​.   fngoofy ‘’ 1 hour ago   DubtodaIll: but does it know the location of the remaining golden tickets?What would a computer do with a life time's supply of chocolate?   The Googles Do Nothing ‘’ 1 hour ago   For the sake of saving the environment and rolling back climate change we better hope so.   Cdr.Murdock ‘’ 1 hour ago   Wu Han Flu, thanks for everything, Xi Jinping....   TDWCom29 ‘’ 58 minutes ago   bikkurikun: " Coronavirus Could Infect 2.5 Billion"And I could win the lottery tomorrow.Hey, I'll take hysteric overreaction to underreaction anytime   Nonrepeating Rotating Binary ‘’ 57 minutes ago   Rapmaster2000: brantgoose: I thought it was 28 days later. No, wait. That is a movie I haven't watched yet. No Spoilers.Snape kills Han Solo.Yeah, but then Sulu and Eliot kill Snape and take his body to Fillory before his friends come back from Narnia.   Stibium ‘’ 55 minutes ago   Not even half a billion dead? I had my hopes up for nothing.   Huggermugger ‘’ 52 minutes ago   I was reading a biography of Ibn Saud, the founder of Saudi Arabia, and his first wife was killed in the 1918 Flu Epidemic, which I thought was remarkable since they were living out in the desert and that was way before the era of worldwide travel.  But then I remembered the Hajj, which would be a great way to disperse something quickly throughout much of the world.  I believe that polio and some other diseases have been spread during the Hajj.   Feel_the_velvet ‘’ 48 minutes ago   20 Billion people by the end of the year.If stacked, the corpses would cover all of Brazil and the Philippines 91 feet 8 inches deep!   Corn_Fed ‘’ 48 minutes ago   Good news, then! We've solved global warming, because we'll all be dead, and won't produce any more pollution.   abhorrent1 ‘’ 44 minutes ago   swamp_of_dumb: abhorrent1: BUT THE FLU IS WORSE!!!!/just getting that out of the way.IHAVE A MASK AND AM THEREFORE SAFE*./does not have the skightest plan fir decontamination, storage, or plan to dispose of contaminated cartridges/have spare cartridges//just wanted to get that out of the way///Maine's scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0Like I've said in other threads, maybe the coronavirus "overreaction" farkers like to complain about is the reason it's not worse than it is. Other than getting a flu shot, which doesn't guarantee you won't get it, no one really thinks about the flu or actively does anything about it. It's just there, a fact of life. They don't quarantine planes, boats, cities or whatever when people get the flu.Maybe they should. If everyone treated the flu the same way they're treating the corona virus, maybe so many people wouldn't die. And maybe if everyone was treating the coronavirus like they do the flu, because it's no big deal, according to fark medical experts, it could be a million times worse than it is.   MythDragon ‘’ 43 minutes ago   brantgoose: I thought it was 28 days later. No, wait. That is a movie I haven't watched yet. No Spoilers.He was dead the entire time. That's why only the boy ever talked to him.   BretMavrik ‘’ 40 minutes ago   The Googles Do Nothing: For the sake of saving the environment and rolling back climate change we better hope so.Overpopulation: Too many of you, just enough of me./Funny how all the advocates of mass death as a "solution" never volunteer.   darkmythology ‘’ 40 minutes ago   abhorrent1: swamp_of_dumb: abhorrent1: BUT THE FLU IS WORSE!!!!/just getting that out of the way.IHAVE A MASK AND AM THEREFORE SAFE*./does not have the skightest plan fir decontamination, storage, or plan to dispose of contaminated cartridges/have spare cartridges//just wanted to get that out of the way///Maine's scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0Like I've said in other threads, maybe the coronavirus "overreaction" farkers like to complain about is the reason it's not worse than it is. Other than getting a flu shot, which doesn't guarantee you won't get it, no one really thinks about the flu or actively does anything about it. It's just there, a fact of life. They don't quarantine planes, boats, cities or whatever when people get the flu.Maybe they should. If everyone treated the flu the same way they're treating the corona virus, maybe so many people wouldn't die. And maybe if everyone was treating the coronavirus like they do the flu, because it's no big deal, according to fark medical experts, it could be a million times worse than it is.It's sort of a no win for PR. If you take cautions people think are extreme, such as multi city quarantines, one of two things happens. It gets out anyway and you're blamed for not doing enough, or it doesn't get out and become a pandemic. Since we don't know the exact parameters by which this is spreading it makes sense to be take more precautions rather than fewer, but people's response is seemingly actually more negative if those precautions are successful. Basically if it gets out, you're blamed for letting it out, but if you stop the spread you won't get praised for that because as far as people can perceive it wasn't a threat to begin with. The human mind is kind of weird that way.   foo monkey ‘’ 29 minutes ago   montreal_medic: Rapmaster2000: At that rate, it would be everyone in about 47 days.  So you're dead in less than two months.And in six months, more people than have ever been alive are infected, with the death count of over 12 billion.... assuming the teen holdsPervert.   Felgraf ‘’ 25 minutes ago   Sword and Shield: If we accept as true that it has an asymptomatic infectious period of approximately 14 days, that's a major problem.Here's the thing:This transmits like the flue-droplet method. It's not as contagious as measels.Which means if you're asymptomatic, while you CAN technically spread it, you're not coughing or sneezing (since those are, you know. Symptoms.)Which means the only way you're ACTUALLY spreading it in that time is via not washing your hands, touching a surface, someone else touching that surface, then touching a mucous membrane without washing THEIR hands. It doesn't farking teleport from your body into someone else. The virus still has to GET THERE.   Felgraf ‘’ 24 minutes ago   Also I'm not going to lie I would be rather impressed if A THIRD OF THE HUMAN POPULATION was infected within *a month and a half*.   Displayed 50 of 59 comments Oldest | « | 1 | 2 | » | Newest | Show all Enable JavaScript for Fark in order to vote for entries. Log in (at the top of the page) to enable voting. 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FARK.com: (10702195) When it comes to Wuhan Coronavirus, who ya gonna trust, an artificial intelligence prognosis of 2.5 billion infected in 45 days...or your lying eyes?
: 10702195 When comes Wuhan Coronavirus, ya gonna trust, artificial intelligence prognosis 2.5 billion infected 45 days...or lying eyes? Skip content Do adblock enabled? Try AdsFree Fark Report Its Not News, Its Fark How To Fark Log In Sign Up Password Forgot password? X Fark TotalFark myFark AboutFArQ Contests Store new Us Mobile : Password Turn javascript enable Fark better user experience. If read this, style sheet didnt load older browser doesnt support style sheets. Try clearing browser cache refreshing . Main Discussion Sports Business Geek Entertainment Dawww Food Politics Podcast When comes Wuhan Coronavirus, ya gonna trust, artificial intelligence prognosis 2.5 billion infected 45 days...or lying eyes? 59 More: Interesting, Infection, Transmission infection H5N1, Death, Mortality rate, Population, infected person, Mortality displacement, Neural network 1750 clicks; posted Main 05 Feb 2020 1:59 PM 1 hour ago Favorite Watch share: Share link: URL: Bookmark: URL: Bookmark: Article Comments close 59 Comments 0 Paginated 50 Single , reversed Normal view Change images links Show raw HTML Enable JavaScript Fark order vote entries. Log enable voting. View Voting Results: Smartest Funniest Oldest 1 2 Newest Show Ghastly 1 hour ago Dont blame me. I voted President Madagascar. bikkurikun 1 hour ago Coronavirus Could Infect 2.5 BillionAnd I win lottery tomorrow. abhorrent1 1 hour ago BUT THE FLU IS WORSEjust getting way. Nastinka 1 hour ago Is Eagles thread? GungFu 1 hour ago 2.5 billion infected 45 days... dont die diabeetus Millennium 1 hour ago Ivo Shandor 1 hour ago AI: Oh, prediction.sound effect small fleet ofdrones taking distant alarm bells begin ring MikeyFuccon 1 hour ago DubtodaIll 1 hour ago know location remaining golden tickets? tricycleracer 1 hour ago Im sure AI predicted cats dogs living mass hysteria. brantgoose 1 hour ago I thought 28 days later. No, wait. That movie I havent watched yet. No Spoilers. Sword Shield 1 hour ago bikkurikun: Coronavirus Could Infect 2.5 BillionAnd I win lottery tomorrow.Its problematic question.If accept true asymptomatic infectious period approximately 14 days, thats major problem. People move. I spent week Disney, commercial flights people I infected 7 days? If infect TSA agent, Disney Cast Member flight attendant, people infect 14 days? How feel fine, head home wherever, infecting others? brantgoose 1 hour ago tricycleracer: Im sure AI predicted cats dogs living mass hysteria.The AI predicted Donald Trump belovd President Adolf Hitler. In 2014. Ashelth 1 hour ago Models projections use. But useless know reality matches models.The machine learning generated model parameters? What length asymptomic infection, lag time infection shedding infectious virions, half life virions environment virions needed establish new infection. farkingismybusiness 1 hour ago Wuhan got check. brantgoose 1 hour ago 2.5 billion infected. So like Herpes? stevenboof 1 hour ago brantgoose: I thought 28 days later. No, wait. That movie I havent watched yet. No Spoilers.I dont want spoil you, but, fixes cable. Derp Du Jour 1 hour ago Was A.I. modelo especial Wuhan Coronavirus??? CarnySaur 1 hour ago And kill 53 million? Thats better odds winning Powerball I demand I given Fark account 1 hour ago Sword Shield: People move. I spent week Disney, commercial flights people I infected 7 days?Thats kind worst case scenario. It gets rolling WDW, asymptotically infecting people, home week later, fall ill. Since actually ill parks, slows down.Its checking fevers wont stop anything, time fever theyve infectious week. Rapmaster2000 1 hour ago At rate, 47 days. So youre dead months. Eirik 1 hour ago Sword Shield: bikkurikun: Coronavirus Could Infect 2.5 BillionAnd I win lottery tomorrow.Its problematic question.If accept true asymptomatic infectious period approximately 14 days, thats major problem. People move. I spent week Disney, commercial flights people I infected 7 days? If infect TSA agent, Disney Cast Member flight attendant, people infect 14 days? How feel fine, head home wherever, infecting others?Isnt exactly scenario infected person Baltimore movie 12 Monkeys? The TSA agent doesnt know vials supposed contain, terrorist allows open harmless. Its implied hes patient 0. doctorguilty 1 hour ago I Watson. You totally boned. Resistance futile. Rapmaster2000 1 hour ago brantgoose: I thought 28 days later. No, wait. That movie I havent watched yet. No Spoilers.Snape kills Han Solo. montreal_medic 1 hour ago Rapmaster2000: At rate, 47 days. So youre dead months.And months, people alive infected, death count 12 billion.... assuming teen holds emiliogtz 1 hour ago Nastinka: Is Eagles thread?Could been. montreal_medic 1 hour ago montreal_medic: Rapmaster2000: At rate, 47 days. So youre dead months.And months, people alive infected, death count 12 billion.... assuming teen holdsThe trend holds. Wow. Autocorrect fail. Eirik 1 hour ago I demand I given Fark account: Sword Shield: People move. I spent week Disney, commercial flights people I infected 7 days?Thats kind worst case scenario. It gets rolling WDW, asymptotically infecting people, home week later, fall ill. Since actually ill parks, slows down.Its checking fevers wont stop anything, time fever theyve infectious week.The thing checking fevers idea infectious period symptoms open question. Until know sure, know. If stop fever testing later symptomless spread false, youll feel silly Hachitori 1 hour ago Fark extrapolation...The half chessboard reference old story inventor chess. As story goes, chess presented great king, king offered inventor reward wanted. The inventor asked single grain rice placed square chessboard. Then grains second square, grains third, on. Doubling time.The king, baffled small price wonderful game, immediately agreed, ordered treasurer pay agreed sum. A week later, inventor went king asked received reward. The king, outraged treasurer disobeyed him, immediately summoned demanded know inventor paid. The treasurer explained sum paid time got halfway chessboard, grain required entire kingdom possessed. Cornelis Gyselaer 1 hour ago Comes in, looks aroundInfected =deadDeath toll 2.5 tricycleracer 1 hour ago Rapmaster2000: At rate, 47 days. So youre dead months.In case Ill hold filing taxes. ifky 1 hour ago DubtodaIll: know location remaining golden tickets?That cheating..... swamp_of_dumb 1 hour ago abhorrent1: BUT THE FLU IS WORSEjust getting way.IHAVE A MASK AND AM THEREFORE SAFE.does skightest plan fir decontamination, storage, plan dispose contaminated cartridgeshave spare cartridgesjust wanted wayMaines scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0 pounddawg 1 hour ago Hachitori: Fark extrapolation...The half chessboard reference old story inventor chess. As story goes, chess presented great king, king offered inventor reward wanted. The inventor asked single grain rice placed square chessboard. Then grains second square, grains third, on. Doubling time.The king, baffled small price wonderful game, immediately agreed, ordered treasurer pay agreed sum. A week later, inventor went king asked received reward. The king, outraged treasurer disobeyed him, immediately summoned demanded know inventor paid. The treasurer explained sum paid time got halfway chessboard, grain required entire kingdom possessed.I 4th grade teacher explain way.... Would work penny day month doubled everyday...... Most kids said no. Then went on......01,.02,.04,.08,.16,.32,.etc.... fngoofy 1 hour ago DubtodaIll: know location remaining golden tickets?What life times supply chocolate? The Googles Do Nothing 1 hour ago For sake saving environment rolling climate change better hope so. Cdr.Murdock 1 hour ago Wu Han Flu, thanks everything, Xi Jinping.... TDWCom29 58 minutes ago bikkurikun: Coronavirus Could Infect 2.5 BillionAnd I win lottery tomorrow.Hey, Ill hysteric overreaction underreaction anytime Nonrepeating Rotating Binary 57 minutes ago Rapmaster2000: brantgoose: I thought 28 days later. No, wait. That movie I havent watched yet. No Spoilers.Snape kills Han Solo.Yeah, Sulu Eliot kill Snape body Fillory friends come Narnia. Stibium 55 minutes ago Not half billion dead? I hopes nothing. Huggermugger 52 minutes ago I reading biography Ibn Saud, founder Saudi Arabia, wife killed 1918 Flu Epidemic, I thought remarkable living desert way era worldwide travel. But I remembered Hajj, great way disperse quickly world. I believe polio diseases spread Hajj. Feel_the_velvet 48 minutes ago 20 Billion people end year.If stacked, corpses cover Brazil Philippines91 feet 8 inches deep Corn_Fed 48 minutes ago Good news, Weve solved global warming, dead, wont produce pollution. abhorrent1 44 minutes ago swamp_of_dumb: abhorrent1: BUT THE FLU IS WORSEjust getting way.IHAVE A MASK AND AM THEREFORE SAFE.does skightest plan fir decontamination, storage, plan dispose contaminated cartridgeshave spare cartridgesjust wanted wayMaines scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0Like Ive said threads, maybe coronavirus overreaction farkers like complain reason worse is. Other getting flu shot, doesnt guarantee wont it, thinks flu actively it. Its there, fact life. They dont quarantine planes, boats, cities people flu.Maybe should. If treated flu way theyre treating corona virus, maybe people wouldnt die. And maybe treating coronavirus like flu, big deal, according fark medical experts, million times worse is. MythDragon 43 minutes ago brantgoose: I thought 28 days later. No, wait. That movie I havent watched yet. No Spoilers.He dead entire time. Thats boy talked him. BretMavrik 40 minutes ago The Googles Do Nothing: For sake saving environment rolling climate change better hope so.Overpopulation: Too you, me.Funnyhow advocates mass death solution volunteer. darkmythology 40 minutes ago abhorrent1: swamp_of_dumb: abhorrent1: BUT THE FLU IS WORSEjust getting way.IHAVE A MASK AND AM THEREFORE SAFE.does skightest plan fir decontamination, storage, plan dispose contaminated cartridgeshave spare cartridgesjust wanted wayMaines scorecard: Flu: 10 dead, 2 schools shut down. Coronavirus: <sad trombone> 0Like Ive said threads, maybe coronavirus overreaction farkers like complain reason worse is. Other getting flu shot, doesnt guarantee wont it, thinks flu actively it. Its there, fact life. They dont quarantine planes, boats, cities people flu.Maybe should. If treated flu way theyre treating corona virus, maybe people wouldnt die. And maybe treating coronavirus like flu, big deal, according fark medical experts, million times worse is.Its sort win PR. If cautions people think extreme, multi city quarantines, things happens. It gets youre blamed enough, doesnt pandemic. Since dont know exact parameters spreading makes sense precautions fewer, peoples response seemingly actually negative precautions successful. Basically gets out, youre blamed letting out, stop spread wont praised far people perceive wasnt threat begin with. The human mind kind weird way. foo monkey 29 minutes ago montreal_medic: Rapmaster2000: At rate, 47 days. So youre dead months.And months, people alive infected, death count 12 billion.... assuming teen holdsPervert. Felgraf 25 minutes ago Sword Shield: If accept true asymptomatic infectious period approximately 14 days, thats major problem.Heres thing:This transmits like fluedroplet method. Its contagious measels.Which means youre asymptomatic, CAN technically spread it, youre coughing sneezing are, know.Symptoms.Which means way youre ACTUALLY spreading time washing hands, touching surface, touching surface, touching mucous membrane washing THEIR hands. It doesnt farking teleport body else. The virus toGET THERE. Felgraf 24 minutes ago Also Im going lie I impressed ifA THIRD OF THE HUMAN POPULATION infected amonth half. Displayed 50 59 comments Oldest 1 2 Newest Show Enable JavaScript Fark order vote entries. Log enable voting. View Voting Results: Smartest Funniest Redisplayrefresh comments If youre problems voting, quoting, posting comments, try disabling browser addons disable Javascript NoScript, , etc. See FAQ. : Password: Forgot password? Create account comments Remember Use HTML Buttons Comment: The HTML assistant buttons require Javascript. If this, somethings wrong browsers CSS support. Or youre spambot. 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Also Fark Main Gaze Great Catfish Massacre 85 despair: A Louisiana mayor turned town pool giant catfish farming operation. Turned circulation blades didnt blade covers, looked like chumming sharks 3 comments Discussion Just watching video cedar pollen floating Lake Travis sneeze 2 comments Sports Browns fans happy know Freddie Kitchens new job. Giants fans thrilled 1 comment Business Apparently worried Tobacco companies losing status evil corps America social media ones, makers Juul decided pitch products poorest addiction prone population USNative Americans 10 comments Geek Noted scientific journal The Sun reports Sun going cold shoulder protest Page 3 possible nsfw content .uk 4 comments Entertainment State Farm tells Shannen Doherty cancer, quit milking 7 comments Dawww Dont hate open door night theres raccoon there? How lot raccoons? 10 comments Food Mmmmmm, Franks RedHot covered jelly donuts. Droooool 8 comments Politics Making antipersonnel land mines great 25 comments Podcast Updates inside China Corona beer virus, Chiefs destroyed Kansas Citys mafia 50 years ago, Drew recounts horrors surviving Dry January podcasts. 4 comments Fark :: Main Discussion Sports Business Geek Entertainment Dawww Food Politics Podcast Total Fark :: TotalFark TF Live TF Advice TF Discussion Commented Top Voted Greenlit FArQ :: Quick Answers Posting Rules Farkisms Contests :: Photoshop Farktography Caption Buy Fark :: Fark Book Fark Store Submit Link 1999 2020 Fark, Last updated: Feb 05 2020 15:27:05 Us Report bugerror msg Advertise Fark Terms servicelegalprivacy policy Runtime: 0.351 sec 351 ms Report X
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1
NEGATIVE
749
https://libyannewswire.com/efficient-assistance-yitu-ai-assists-with-epidemic-prevention-and-control-of-covid-19-outbreak/
2020-03-17T00:00:00
en
Efficient Assistance, YITU AI assists with Epidemic Prevention and Control of COVID-19 Outbreak
Efficient Assistance, YITU AI assists with Epidemic Prevention and Control of COVID-19 Outbreak Tuesday, 17/3/2020 | 3:32 UTC+0 RSS Facebook Twitter Pinterest General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release Home About Us Contact Us Submit Release Sitemap Menu General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release From around the world March 16, 2020 High Judicial Council Confines Court Sessions To The Judiciary And Defense Teams March 16, 2020 Agreement To Pay January And February Public Servants Salaries March 16, 2020 48th Round Of Tripoli International Fair Postponed March 16, 2020 IOM Alarmed by Return of Migrants to Libya from Maltese Waters March 16, 2020 IOM Libya: Monthly Update – February 2020 Breaking news ticket title High Judicial Council Confines Court Sessions To The Judiciary And Defense Teams Agreement To Pay January And February Public Servants Salaries 48th Round Of Tripoli International Fair Postponed IOM Alarmed by Return of Migrants to Libya from Maltese Waters IOM Libya: Monthly Update – February 2020 You are here: Home / Press Release / Efficient Assistance, YITU AI assists with Epidemic Prevention and Control of COVID-19 Outbreak Efficient Assistance, YITU AI assists with Epidemic Prevention and Control of COVID-19 Outbreak March 17, 2020    Post by relatedRelated post March 17, 2020 ‫تكنو موبيل تجلب كاميرا هاتف سوني الذكي الأولى 64 ميغابيكسل إلى أفريقيا March 17, 2020 ‫حارب لتعيد الوحدة: كيف كافحت ووهان فيروس كورونا (كوفيد – 19) March 17, 2020 New YPO Chief Executive Global Survey on the Business Impact of COVID-19 Finds That Business Leaders are Focused on Facts and Planning While Citing the Impact Is Significant March 17, 2020 BCEN Paves Path for Nurses Worldwide to Become Board Certified in Emergency Nursing & Celebrates Certified Nurses Day SHANGHAI, March 17, 2020 /PRNewswire/ — According to its official public account of Shanghai Public Health Clinical Center, one of the authoritative institutions in the field of infectious diseases in China and the key unit for the treatment of COVID-19 in Shanghai, an article titled “AI Aids the Scientific Prevention and Control, Intelligent Evaluation System for COVID-19 Launched in Shanghai Public Health Clinical Center”, announced its latest achievements in using artificial intelligence technology to help doctors carry out quantitative analysis and evaluation of therapeutic efficacy of new coronavirus lesions based on CT images. YITU Healthcare reinforced its R&D capability with multi-departments cooperation right after the outbreak of the pandemic and released its cutting-edge AI diagnosis system, with upgrades on a daily basis during the Chinese New Year. YITU assisted many designated medical institutions and supported the frontline heroes fighting the pandemic. The Intelligent Evaluation System of Chest CT for COVID-19, developed by YITU under the guidance of Shanghai Public Health Clinical Center, was officially launched and was put into the first-line battle against COVID-19 pandemic on 28th Jan. It is the first AI-equipped diagnostic assistant, which significantly improves efficiency in identifying coronavirus through automatic detection and quantitative analysis within 2-3 seconds, and eases the burden of Chinese doctors. COVID-19 Diagnosis and Treatment Plan (Trial Version 7) issued by the General Office of the National Health Commission of the People’s Republic of China stipulates that CT imaging results should be used as one of the criteria for the diagnosis of COVID-19 nationwide. At the same time, based on clinical experience, the CT imaging performance of COVID-19 is further clarified and the quantitative evaluation of CT images is incorporated into the clinical classification basis. YITU’s AI-driven solution of intelligent diagnosis and quantitative evaluation of CT images of COVID-19, are through industry-leading image algorithms, and grade the severity of various pneumonia diseases of local lesions, diffuse lesions, and whole lung involvement. Furthermore, it accurately quantifies the cumulative pneumonia load of the disease through quantitative and omics analysis of key image features such as the morphology, range, and density of the lesion, and achieves a dynamic 4D contrast of the lung lesions on the CT, helping in clinical judgment of the condition, evaluation of the efficacy, and prediction of the prognosis. Taking up the challenge and responsibility in response to frontline needs and requests, YITU’s Intelligent Evaluation System of Chest CT for COVID-19 has been adopted across 25 provinces and municipal autonomous prefectures in 100 medical institutions and served over 100,000 person-times in China by far. For more information contact: Yiru +86-21-5255-9588 Tags: MENA Previous article Next article ‫الرائد في مجال الطاقة النظيفة ينضم إلى مجلس إدارة General Fusion March 17, 2020    BCEN Paves Path for Nurses Worldwide to Become Board Certified in Emergency Nursing & Celebrates Certified Nurses Day March 17, 2020    -->         Home About Us Contact Us Submit Release Sitemap Home About Us Contact Us Submit Release Sitemap © Copyright 2019. All Rights Reserved. Libyan News Wire
Efficient Assistance, YITU AI assists with Epidemic Prevention and Control of COVID-19 Outbreak
Efficient Assistance, YITU AI assists Epidemic Prevention Control COVID19 Outbreak Tuesday, 1732020 3:32 UTC0 RSS Facebook Twitter Pinterest General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release Home Us Submit Release Sitemap Menu General Affairs Study Fashion Health Care Athletic Government Policy Judicial Press Release From world March 16, 2020 High Judicial Council Confines Court Sessions To The Judiciary And Defense Teams March 16, 2020 Agreement To Pay January And February Public Servants Salaries March 16, 2020 48th Round Of Tripoli International Fair Postponed March 16, 2020 IOM Alarmed Return Migrants Libya Maltese Waters March 16, 2020 IOM Libya: Monthly Update February 2020 Breaking news ticket title High Judicial Council Confines Court Sessions To The Judiciary And Defense Teams Agreement To Pay January And February Public Servants Salaries 48th Round Of Tripoli International Fair Postponed IOM Alarmed Return Migrants Libya Maltese Waters IOM Libya: Monthly Update February 2020 You here: HomePress ReleaseEfficient Assistance, YITU AI assists Epidemic Prevention Control COVID19 Outbreak Efficient Assistance, YITU AI assists Epidemic Prevention Control COVID19 Outbreak March 17, 2020 Post relatedRelated post March 17, 2020 64 March 17, 2020 : 19 March 17, 2020 New YPO Chief Executive Global Survey Business Impact COVID19 Finds That Business Leaders Focused Facts Planning While Citing Impact Is Significant March 17, 2020 BCEN Paves Path Nurses Worldwide Become Board Certified Emergency Nursing Celebrates Certified Nurses Day SHANGHAI, March 17, 2020 PRNewswire According official public account Shanghai Public Health Clinical Center, authoritative institutions field infectious diseases China key unit treatment COVID19 Shanghai, article titled AI Aids Scientific Prevention Control, Intelligent Evaluation System COVID19 Launched Shanghai Public Health Clinical Center, announced latest achievements artificial intelligence technology help doctors carry quantitative analysis evaluation therapeutic efficacy new coronavirus lesions based CT images. YITU Healthcare reinforced RD capability multidepartments cooperation right outbreak pandemic released cuttingedge AI diagnosis system, upgrades daily basis theChinese New Year. YITU assistedmany designated medical institutions supported frontline heroes fighting pandemic. The Intelligent Evaluation System Chest CT COVID19, developed YITU guidance Shanghai Public Health Clinical Center, officially launched firstline battle COVID19 pandemic 28th Jan. It AIequipped diagnostic assistant, significantly improves efficiency identifying coronavirus automatic detection quantitative analysis 23 seconds, eases theburden Chinese doctors. COVID19 Diagnosis Treatment Plan Trial Version 7 issued General Office National Health Commission Peoples Republic China stipulates CT imaging results criteria diagnosis COVID19 nationwide. At time, based clinical experience, CT imaging performance COVID19 clarified quantitative evaluation CT images incorporated clinical classification basis. YITUs AIdriven solution intelligent diagnosis quantitative evaluation CT images COVID19, industryleading image algorithms, grade severity pneumonia diseases local lesions, diffuse lesions, lung involvement. Furthermore, accurately quantifies cumulative pneumonia load disease quantitative omics analysis key image features morphology, range, density lesion, achieves dynamic 4D contrast thelung lesions theCT, helping clinical judgment condition, evaluation efficacy, prediction prognosis. Taking challenge responsibility response frontline needs requests, YITUs Intelligent Evaluation System Chest CT COVID19 adopted 25 provinces municipal autonomous prefectures 100 medical institutions served 100,000 persontimes China far. For information contact: Yiru 862152559588 Tags: MENA Previous article Next article General Fusion March 17, 2020 BCEN Paves Path Nurses Worldwide Become Board Certified Emergency Nursing Celebrates Certified Nurses Day March 17, 2020 > Home Us Submit Release Sitemap Home Us Submit Release Sitemap 2019. . Libyan News Wire
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1
POSITIVE
750
https://www.mccourier.com/ai-in-computer-vision-market-in-depth-analysis-growth-strategies-and-comprehensive-forecast-to-2026/
2020-12-27T00:00:00
en
AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 – The Courier
AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 – The Courier Sunday, December 27 2020 Breaking News AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 Advanced Metering Infrastructure (AMI) Market 2026 Incredible Involvement By World 3D Projector Market to Witness Steady Expansion During 2020-2026 Analog Timer Market to Witness Steady Expansion During 2020 – 2026 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 – 2026 WIRELESS HEALTH AND FITNESS DEVICES Market: Global Analysis and Opportunity Assessment 2020-2026 WESTERN BLOT IMAGERS Market from Key End-use Sectors to Surge in the Near Future WEIGHT REDUCTION MEDICINE Market Set to Witness an Uptick during 2020 – 2026 VIRTUAL REALITY (VR) IN HEALTHCARE Market Growth, Trends and Value Chain 2020-2026 VETERINARY DIAGNOSTIC IMAGING Market 2020 | COVID19 Impact Analysis Sidebar Random Article Log In Menu The Courier Search for Business Technology World Science Health Publish PR Search for Home/Business/AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 BusinessTechnology AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 Regal IntelligenceDecember 27, 2020 0 “ AI in Computer Vision Marketplace Forecasting (2020 to 2026): Global AI in Computer Vision market scholarly explains the latest trends developing in the global business markets. The report examines the current and ongoing manifolds, technological advances, point supplementation, and their performance portrays widely in the International market. As the world continues to deal with COVID-19, economies are moving into recession, official counts of cases and deaths from COVID-19 have passed 4,000,000 and 280,000 at the time of this report. Many government announced a plan on reopening the national economy, but many countries are still at the stage of rising. On a more positive note, we are already seeing signs of recovery as the COVID-19 risk is declining in China. Chinese original equipment manufacturers (OEMs) and suppliers are ramping up production. And there are increased investments in digital footprints in manufacturing. OEMs in other parts of the world are offering incentives to drive sales. published a report for global AI in Computer Vision market in this environment. Key operators within the marketplace: Nvidia Intel Alphabet Qualcomm Apple Microsoft Facebook Xilinx Basler Teledyne Technologies Wikitude MAXST Cognex General Electric Avigilon Omron Irida Labs Sony Perceptron Allied Vision Technologies Berkeley Design Leap Motion Algolux Clarifai Ditto Labs Mad Street Den By Types: Hardware Software By Application: Automotive Sports and Entertainment Consumer Robotics and Machine Vision Healthcare Security and Surveillance Agriculture Others Get Detailed Sample Report@ https://www.regalintelligence.com/request-sample/188504 An important compilation of the report consists of: Global AI in Computer Vision Industry Expert End-partaker Consulting Corporations Government as well as self-regulatory administration and policymakers Leading Players Additional Information: Regulatory facet Pricing evaluations Micro- and Macro-economic benchmarks Global Market Perspective Regional Analysis The purpose of this report is to assist in the following: A comprehensive and concise offering in the global market for AI in Computer Vision products and alternatives. Market changes as well as available catalysts, limitations, challenges, and growth opportunities. A number of trends consistent with geography, global, and regional specifications. And the report also includes an in-depth analysis of the planned fiscal years. Sharing views on R&D and the preconditions for new items, services, and applications. Business profiles of the major challenges in the company. Get Special Discount@ https://www.regalintelligence.com/check-discount/188504 The critical segments and additional segments have also covered in this report, along with the various geographical factors that are related to the region. The AI in Computer Vision Market report sets out the prospects for regional development and the size and scope of the market. However, the overall coverage of the report helps the reader adopt tactics that will help him acquire maximum market share. Thank You.” TagsAI in Computer Vision Industry Trends AI in Computer Vision information AI in Computer Vision Market Share AI in Computer Vision types COVID19 AI in Computer Vision Market Report Covid19 Impact Regal IntelligenceDecember 27, 2020 0 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share via Email Print Regal Intelligence Website Facebook Twitter LinkedIn Pinterest Related Articles Chemical Oxygen Demand Meter Market Enhancement and Growth Rate Analysis by 2029 December 16, 2020 Cell Signaling Market 2020 | Worldwide Opportunities, Driving Forces, Future Potential 2026: Merck KGaA , Thermo Fisher Scientific , Becton, Dickinson and Company ,and others. December 22, 2020 Top Manufacturers of Bionic Exoskeletons Market: Ekso Bionics, Ottobock Inc, DJO Global Inc, Ossur Corporate, Rex Bionics Ltd, Alter G, ReWalk Robotics, Axosuits, and others December 23, 2020 Button Mushroom Market 2025 Incredible Involvement By World December 26, 2020 RADIATION STERILIZATION EQUIPMENT Market – Survey on Consumption Benefits 2026 December 27, 2020 How the dynamics of Sample Splitter Market have changed? December 16, 2020 Recent Posts Advanced Metering Infrastructure (AMI) Market 2026 Incredible Involvement By World December 27, 2020 3D Projector Market to Witness Steady Expansion During 2020-2026 December 27, 2020 Analog Timer Market to Witness Steady Expansion During 2020 – 2026 December 27, 2020 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 – 2026 December 27, 2020 WIRELESS HEALTH AND FITNESS DEVICES Market: Global Analysis and Opportunity Assessment 2020-2026 December 27, 2020 WESTERN BLOT IMAGERS Market from Key End-use Sectors to Surge in the Near Future December 27, 2020 WEIGHT REDUCTION MEDICINE Market Set to Witness an Uptick during 2020 – 2026 December 27, 2020 VIRTUAL REALITY (VR) IN HEALTHCARE Market Growth, Trends and Value Chain 2020-2026 December 27, 2020 VETERINARY DIAGNOSTIC IMAGING Market 2020 | COVID19 Impact Analysis December 27, 2020 Facebook Twitter WhatsApp Telegram Back to top button Close Search for: Search for: Recent Posts AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026 Advanced Metering Infrastructure (AMI) Market 2026 Incredible Involvement By World 3D Projector Market to Witness Steady Expansion During 2020-2026 Analog Timer Market to Witness Steady Expansion During 2020 – 2026 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 – 2026 Recent Comments Close Search for Close Log In Forget? 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AI in Computer Vision Market In-Depth Analysis, Growth Strategies and Comprehensive Forecast to 2026
AI Computer Vision Market InDepth Analysis, Growth Strategies Comprehensive Forecast 2026 The Courier Sunday, December 27 2020 Breaking News AI Computer Vision Market InDepth Analysis, Growth Strategies Comprehensive Forecast 2026 Advanced Metering Infrastructure AMI Market 2026 redible Involvement By World 3D Projector Market Witness Steady Expansion During 20202026 Analog Timer Market Witness Steady Expansion During 2020 2026 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 2026 WIRELESS HEALTH AND FITNESS DEVICES Market: Global Analysis Opportunity Assessment 20202026 WESTERN BLOT IMAGERS Market Key Enduse Sectors Surge Near Future WEIGHT REDUCTION MEDICINE Market Set Witness Uptick 2020 2026 VIRTUAL REALITY VR IN HEALTHCARE Market Growth, Trends Value Chain 20202026 VETERINARY DIAGNOSTIC IMAGING Market 2020 COVID19 Impact Analysis Sidebar Random Article Log In Menu The Courier Business Technology World Science Health Publish PR HomeBusinessAI Computer Vision Market InDepth Analysis, Growth Strategies Comprehensive Forecast 2026 BusinessTechnology AI Computer Vision Market InDepth Analysis, Growth Strategies Comprehensive Forecast 2026 Regal IntelligenceDecember 27, 2020 0 AI Computer Vision Marketplace Forecasting 2020 2026: Global AI Computer Vision market scholarly explains latest trends developing global business markets. The report examines current ongoing manifolds, technological advances, point supplementation, performance portrays widely International market. As world continues deal COVID19, economies moving recession, official counts cases deaths COVID19 passed 4,000,000 280,000 time report. Many government announced plan reopening national economy, countries stage rising. On positive note, seeing signs recovery COVID19 risk declining China. Chinese original equipment manufacturers OEMs suppliers ramping production. And increased investments digital footprints manufacturing. OEMs parts world offering incentives drive sales. published report global AI Computer Vision market environment. Key operators marketplace: Nvidia Intel Alphabet Qualcomm Apple Microsoft Facebook Xilinx Basler Teledyne Technologies Wikitude MAXST Cognex General Electric Avigilon Omron Irida Labs Sony Perceptron Allied Vision Technologies Berkeley Design Leap Motion Algolux Clarifai Ditto Labs Mad Street Den By Types: Hardware Software By Application: Automotive Sports Entertainment Consumer Robotics Machine Vision Healthcare Security Surveillance Agriculture Others Get Detailed Sample Report@ An important compilation report consists of: Global AI Computer Vision Industry Expert Endpartaker Consulting Corporations Government selfregulatory administration policymakers Leading Players Additional Information: Regulatory facet Pricing evaluations Micro Macroeconomic benchmarks Global Market Perspective Regional Analysis The purpose report assist following: A comprehensive concise offering global market AI Computer Vision products alternatives. Market changes available catalysts, limitations, challenges, growth opportunities. A number trends consistent geography, global, regional specifications. And report includes indepth analysis planned fiscal years. Sharing views RD preconditions new items, services, applications. Business profiles major challenges company. Get Special Discount@ The critical segments additional segments covered report, geographical factors related region. The AI Computer Vision Market report sets prospects regional development size scope market. However, overall coverage report helps reader adopt tactics help acquire maximum market share. Thank You. TagsAI Computer Vision Industry Trends AI Computer Vision information AI Computer Vision Market Share AI Computer Vision types COVID19 AI Computer Vision Market Report Covid19 Impact Regal IntelligenceDecember 27, 2020 0 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print Regal Intelligence Website Facebook Twitter LinkedIn Pinterest Related Articles Chemical Oxygen Demand Meter Market Enhancement Growth Rate Analysis 2029 December 16, 2020 Cell Signaling Market 2020 Worldwide Opportunities, Driving Forces, Future Potential 2026: Merck KGaA, Thermo Fisher Scientific, Becton, Dickinson Company,and others. December 22, 2020 Top Manufacturers Bionic Exoskeletons Market: Ekso Bionics, Ottobock , DJO Global , Ossur Corporate, Rex Bionics Ltd, Alter G, ReWalk Robotics, Axosuits, December 23, 2020 Button Mushroom Market 2025 redible Involvement By World December 26, 2020 RADIATION STERILIZATION EQUIPMENT Market Survey Consumption Benefits 2026 December 27, 2020 How dynamics Sample Splitter Market changed? December 16, 2020 Recent Posts Advanced Metering Infrastructure AMI Market 2026 redible Involvement By World December 27, 2020 3D Projector Market Witness Steady Expansion During 20202026 December 27, 2020 Analog Timer Market Witness Steady Expansion During 2020 2026 December 27, 2020 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 2026 December 27, 2020 WIRELESS HEALTH AND FITNESS DEVICES Market: Global Analysis Opportunity Assessment 20202026 December 27, 2020 WESTERN BLOT IMAGERS Market Key Enduse Sectors Surge Near Future December 27, 2020 WEIGHT REDUCTION MEDICINE Market Set Witness Uptick 2020 2026 December 27, 2020 VIRTUAL REALITY VR IN HEALTHCARE Market Growth, Trends Value Chain 20202026 December 27, 2020 VETERINARY DIAGNOSTIC IMAGING Market 2020 COVID19 Impact Analysis December 27, 2020 Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts AI Computer Vision Market InDepth Analysis, Growth Strategies Comprehensive Forecast 2026 Advanced Metering Infrastructure AMI Market 2026 redible Involvement By World 3D Projector Market Witness Steady Expansion During 20202026 Analog Timer Market Witness Steady Expansion During 2020 2026 WOUND CARE DEVICES Market Intelligence Report Offers Growth Prospects 2020 2026 Recent Comments Close Close Log In Forget? 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https://www.expresscomputer.in/artificial-intelligence-ai/intel-and-cbse-set-new-guinness-world-record-deliver-virtual-lessons-on-artificial-intelligence-to-13000-students-in-24-hours/67536/
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Intel and CBSE Set New Guinness World Record; Deliver Virtual Lessons on Artificial Intelligence to 13,000 Students in 24 Hours - Express Computer
Intel and CBSE Set New Guinness World Record; Deliver Virtual Lessons on Artificial Intelligence to 13,000 Students in 24 Hours - Express Computer Express Computer Likes Followers Subscribers Followers Likes Followers Followers Followers Sign in / Join Welcome, Login to your account. Forget password? Remember me Login with your Social ID No account? Sign Up Sign in Recover your password.A password will be e-mailed to you. 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The record was set after delivering a virtual lesson focused on demystifying the impact of AI and key considerations around its use to 13,000 students from class 8 and above between October 13th and 14th. The training was part of the ongoing AI For Youth Virtual Symposium organized by Intel and CBSE.Shweta Khurana, Director – APJ, Global Partnerships and Initiatives at Intel said, “Intel remains committed to working with the ecosystem to help unlock the profound and pervasive societal benefits of AI. Our collaboration with CBSE has so far led to several milestones in nurturing AI-readiness in the country, including the roll-out of an AI curriculum for students; setting up focused AI Skills Labs in the country; and skilling facilitators across CBSE schools. The ongoing AI For Youth Virtual Symposium is yet another platform for students and teachers to be a part of an exponential wave of innovation and learn from local and global experts. The enthusiastic response to the virtual AI lesson from students across the country that helped set a record with Guinness World Records shows India’s youth is engaged and eager to explore and innovate.”While governments worldwide are working on creating comprehensive national AI strategies to create sustainable, inclusive and positive impact on citizens, industries and overall societies; the AI skill crisis is recognized as the biggest barrier for wider adoption and growth. Intel and CBSE under Ministry of Education have been working together to help close this gap by increasing the pace of AI integration in India’s education system.The AI For Youth Virtual Symposium being held from October 13th to 17th is a part of this continued effort to enable India’s youth to learn AI readiness skills, gain an immersive experience and witness AI social impact projects created by their peers. The inauguration of the symposium saw Shri Ramesh Pokhriyal Nishank, Honorable Minister of Education, launch over 200 multi-disciplinary AI integrated lesson plans in a digital format to enhance teaching and learning across classes 6 to 12. Each of these lesson plans has been written by teachers who are subject matter experts in their domain and forerunners in incorporating AI tools to help students gain holistic knowledge in an experiential and enjoyable manner, as per guidance set out in the National Education Policy 2020. These lesson plans will be hosted on DIKSHA, the Ministry of Education’s national digital platform for school education.Dr. Biswajit Saha, Director, Trainings and Skill Education, CBSE, Ministry of Education, Government of India said, “Artificial Intelligence continues to be one of the most crucial technologies of the future, with the potential to leapfrog India’s digitalization journey. It is more important than ever to cultivate AI-readiness in the country by empowering India’s students with the right skillset and mindset as early in their learning journey as possible. I congratulate CBSE and Intel on their commitment to nurturing the right AI-related skillset and mindset among school students under the AI For Youth program, and setting a world record along the way.”The AI For Youth Virtual Symposium is seeing participation from students (class 8 and above), principals and teachers from across the country. Attendees are able to access sessions with national and international speakers to hear diverse perspectives on the transformational power of AI, building digital readiness and democratizing emerging technologies. They can also interact with presenters, join in the experiential zone and attend live webinars.The symposium is part of the all.ai 2020 Virtual Summit taking place from October 12th to 16th. The summit has been brought together by Intel India in collaboration with the industry, academia and government, to offer a deep dive into leveraging AI to solve problems at population scale. If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]Advertisement AICBSEIntel 0 12 Share Get real time updates directly on you device, subscribe now. Subscribe Express Computer Express Computer is one of India's most respected IT media brands and has been in publication for 24 years running. We cover enterprise technology in all its flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives and anything that can help companies make the most of their ICT investments. 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Intel and CBSE Set New Guinness World Record; Deliver Virtual Lessons on Artificial Intelligence to 13,000 Students in 24 Hours
Intel CBSE Set New Guinness World Record; Deliver Virtual Lessons Artificial Intelligence 13,000 Students 24 Hours Express Computer Express Computer Likes Followers rs Followers Likes Followers Followers Followers Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. Friday, October 16, 2020Log In HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money Express Computer Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosBack To WorkDigital TechSabhaDigital TechSabha AwardsDigital TechSenatePharma Healthcare TrackEducation TrackRetail, ECommerce QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatBusiness Technology LeadersBFSI LeadersHealthcare LeadersWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperEbook Home Artificial Intelligence AI Intel CBSE Set New Guinness World Record; Deliver Virtual Lessons Artificial Intelligence 13,000 Students 24 Hours Intel CBSE Set New Guinness World Record; Deliver Virtual Lessons Artificial Intelligence 13,000 Students 24 HoursArtificial Intelligence AINews By Express Computer On Oct 16, 2020 0 12 Share Read Article Intel Central Board Secondary Education CBSE today achieved new Guinness World Records title users online artificial intelligence AI lesson 24 hours. The record set delivering virtual lesson focused demystifying impact AI key considerations use 13,000 students class 8 October 13th 14th. The training ongoing AI For Youth Virtual Symposium organized Intel CBSE.Shweta Khurana, Director APJ, Global Partnerships Initiatives Intel said, Intel remains committed working ecosystem help unlock profound pervasive societal benefits AI. Our collaboration CBSE far led milestones nurturing AIreadiness country, including rollout AI curriculum students; setting focused AI Skills Labs country; skilling facilitators CBSE schools. The ongoing AI For Youth Virtual Symposium platform students teachers exponential wave innovation learn local global experts. The enthusiastic response virtual AI lesson students country helped set record Guinness World Records shows Indias youth engaged eager explore innovate.While governments worldwide working creating comprehensive national AI strategies create sustainable, inclusive positive impact citizens, industries overall societies; AI skill crisis recognized biggest barrier wider adoption growth. Intel CBSE Ministry Education working help close gap increasing pace AI integration Indias education system.The AI For Youth Virtual Symposium held October 13th 17th continued effort enable Indias youth learn AI readiness skills, gain immersive experience witness AI social impact projects created peers. The inauguration symposium saw Shri Ramesh Pokhriyal Nishank, Honorable Minister Education, launch 200 multidisciplinary AI integrated lesson plans digital format enhance teaching learning classes 6 12. Each lesson plans written teachers subject matter experts domain forerunners incorporating AI tools help students gain holistic knowledge experiential enjoyable manner, guidance set National Education Policy 2020. These lesson plans hosted DIKSHA, Ministry Educations national digital platform school education.Dr. Biswajit Saha, Director, Trainings Skill Education, CBSE, Ministry Education, Government India said, Artificial Intelligence continues crucial technologies future, potential leapfrog Indias digitalization journey. It important cultivate AIreadiness country empowering Indias students right skillset mindset early learning journey possible. I congratulate CBSE Intel commitment nurturing right AIrelated skillset mindset school students AI For Youth program, setting world record way.The AI For Youth Virtual Symposium seeing participation students class 8 above, principals teachers country. Attendees able access sessions national international speakers hear diverse perspectives transformational power AI, building digital readiness democratizing emerging technologies. They interact presenters, join experiential zone attend live webinars.The symposium all.ai 2020 Virtual Summit taking place October 12th 16th. The summit brought Intel India collaboration industry, academia government, offer deep dive leveraging AI solve problems population scale. If interesting article experience case study share, touch [emailprotected]Advertisement AICBSEIntel 0 12 Share Get real time updates directly device, subscribe now. Express Computer Express Computer Indias respected IT media brands publication 24 years running. We cover enterprise technology flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives help companies ICT investments. 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https://www.defense.gov/Explore/News/Article/Article/2427173/artificial-intelligence-enablers-seek-out-problems-to-solve/
2020-11-25T00:00:00
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Artificial Intelligence Enablers Seek Out Problems to Solve > U.S. DEPARTMENT OF DEFENSE > Defense Department News
Artificial Intelligence Enablers Seek Out Problems to Solve > U.S. DEPARTMENT OF DEFENSE > Defense Department News Skip to main content (Press Enter). U.S. DEPARTMENT OF DEFENSE Back Home Place Holder Coronavirus Update What's New Explore News Features Spotlights Blog: Inside DOD From the Services Live Events Multimedia Experience DOD Quizzes Feature Videos Photo Gallery Our Story About the DOD Our Forces Combatant Commands Office of the Secretary of Defense Know Your Military Our Leaders Acting Secretary of Defense Deputy Secretary of Defense Chairman of the Joint Chiefs of Staff Vice Chairman of the Joint Chiefs of Staff Biographies Newsroom What's Happening Live Events Latest News Today in DOD Press Products Releases Advisories Transcripts Speeches Publications Contracts Search Back Home Place Holder Coronavirus Update What's New Explore News Features Spotlights Blog: Inside DOD From the Services Live Events Multimedia Experience DOD Quizzes Feature Videos Photo Gallery Our Story About the DOD Our Forces Combatant Commands Office of the Secretary of Defense Know Your Military Our Leaders Acting Secretary of Defense Deputy Secretary of Defense Chairman of the Joint Chiefs of Staff Vice Chairman of the Joint Chiefs of Staff Biographies Newsroom What's Happening Live Events Latest News Today in DOD Press Products Releases Advisories Transcripts Speeches Publications Contracts Legal & Administrative Privacy & SecurityLinks DisclaimerSection 508Web PolicyPlain Writing ActDOD IGReporting Civilian CasualtiesNo FEAR ActImagery UseFOIAOpen GOVStrategic PlanUSA.govSmall Business ActSite Map News   Defense News Artificial Intelligence Enablers Seek Out Problems to Solve Nov. 24, 2020 | BY C. Todd Lopez , DOD News The Joint Artificial Intelligence Center began in 2018 to accelerate the DOD's adoption and integration of artificial intelligence. From the start, it was meant to serve as an AI center of excellence and to provide resources, tools and expertise to the department. The JAIC's new director said that while the center's early efforts bore fruit, the overall effort was not transformational enough and a more aggressive approach is needed. 34:22 "In JAIC 1.0, we helped jumpstart AI in the DOD through Pathfinder projects we called mission initiatives," said Marine Corps Lt. Gen. Michael S. Groen, during a briefing today at the Pentagon. "We learned a great deal and brought onboard some of the brightest talent in the business. It really is amazing. When we took stock, however, we realized that this was not transformational enough. We weren't going to be in a position to transform the department through the delivery of use cases." Now, Groen said, he refers to the center's change in effort as "JAIC 2.0," which includes a more aggressive push for adoption and proliferation of AI throughout the department.  Artificial Intelligence The Joint Artificial Intelligence Center and the Defense Innovation Unit hope to use artificial intelligence and machine learning to help the Army reduce the amount of time it takes to correct financial errors. SHARE IMAGE: Download Image Image Details Photo By: U.S. Army VIRIN: 201005-A-ZZ999-001X "We seek to push harder across the department to accelerate the adoption of AI across every aspect of our warfighting and business operations," Groen said. "While the JAIC will continue to develop AI solutions, we're working in parallel to enable a broad range of customers across the department." Groen said the JAIC must have a broader range of department participants getting involved with AI, and that this can happen with a renewed focus on the Joint Common Foundation — a cloud-enabled AI platform to accelerate the development, testing and fielding of new AI capabilities that is expected to reach initial operating capability in 2021. Artificial Intelligence The Joint Artificial Intelligence Center and the Defense Innovation Unit hope to use artificial intelligence and machine learning to help the Army reduce the amount of time it takes to correct financial errors. SHARE IMAGE: Download Image Image Details Photo By: Courtney Maxson, Army VIRIN: 201005-A-ZZ999-002X "It's a resource for all, but especially for disadvantaged users who don't have the infrastructure and the tech expertise to do it themselves," Groen said. "We're recrafting our engagement mechanism inside the JAIC to actively seek out problems and help make others successful. We will be more 'problem pull' than 'product push'." Spotlight: Artificial Intelligence Spotlight: Artificial Intelligence: https://www.defense.gov/Explore/Spotlight/Artificial-Intelligence/ Artificial Intelligence jaic Subscribe to Defense.gov Products Choose which Defense.gov products you want delivered to your inbox.Subscribe Explore Commanders are taking steps to stop the spread of the coronavirus by adhering to these guidelines — wearing a mask, washing hands and maintaining a social distance of at least six feet. The chief operations officer for Operation Warp Speed discussed how the COVID-19 vaccines will be delivered and administered during a press briefing in Washington, D.C. While serving in the Marine Corps, Billy Mills qualified for the 1964 Summer Olympics in Tokyo on the U.S. Track and Field Team. Commissaries are adding digital contactless thermometers and children's reusable masks to store inventories, the Defense Commissary Agency's director of sales announced. The Defense Logistics Agency is making sure all our warfighters have a home-cooked meal with all the trimmings this Thanksgiving. The Food and Drug Administration issued an emergency use authorization for two drugs that together show promise in reducing hospitalization or emergency room visits for COVID-19 patients. The opening of the 142nd Wing Airman and Family Readiness Center is the final step in the wing's effort to build a robust, ready and able resiliency team to serve the airmen Charged with developing and delivering a vaccine to 300 million Americans, Operation Warp Speed paired military planners with experts at the Centers for Disease Control and Prevention to work the details of a monumental plan.  Marine Corps Gen. Christian Schilt earned the Medal of Honor for his bravery in the skies over Nicaragua, where he faced hostile fire flying in medical supplies and evacuating Marines wounded in an enemy ambush. The Space Force is building out the service with the goals of not only defending U.S. and partner assets in space, but also developing capabilities  that might be needed in the future, its leader said. View More Defense.gov HomeCoronavirus UpdateWhat's NewOur StoryNewsroom Helpful Links Live EventsToday in DODContractsFor the MediaContact Resources DOD ResourcesFrequently Asked QuestionsDOD / Military WebsitesInsigniaFY20 Financial Report Popular Coronavirus: DOD ResponseOperation Warp SpeedNational Defense StrategyDOD Space Strategy The Department of Defense provides the military forces needed to deter war and ensure our nation's security. Enter Your Search Terms Privacy & SecurityLinks DisclaimerSection 508Web PolicyPlain Writing ActDOD IGReporting Civilian CasualtiesNo FEAR ActImagery UseFOIAOpen GOVStrategic PlanUSA.govSmall Business ActSite Map Subscribe
Artificial Intelligence Enablers Seek Out Problems to Solve > U.S. DEPARTMENT OF DEFENSE > Defense Department News
Artificial Intelligence Enablers Seek Out Problems Solve > U.S. DEPARTMENT OF DEFENSE > Defense Department News Skip main content Press Enter. U.S. DEPARTMENT OF DEFENSE Back Home Place Holder Coronavirus Update Whats New Explore News Features Spotlights Blog: Inside DOD From Services Live Events Multimedia Experience DOD Quizzes Feature Videos Photo Gallery Our Story About DOD Our Forces Combatant Commands Office Secretary Defense Know Your Military Our Leaders Acting Secretary Defense Deputy Secretary Defense Chairman Joint Chiefs Staff Vice Chairman Joint Chiefs Staff Biographies Newsroom Whats Happening Live Events Latest News Today DOD Press Products Releases Advisories Transcripts Speeches Publications Contracts Back Home Place Holder Coronavirus Update Whats New Explore News Features Spotlights Blog: Inside DOD From Services Live Events Multimedia Experience DOD Quizzes Feature Videos Photo Gallery Our Story About DOD Our Forces Combatant Commands Office Secretary Defense Know Your Military Our Leaders Acting Secretary Defense Deputy Secretary Defense Chairman Joint Chiefs Staff Vice Chairman Joint Chiefs Staff Biographies Newsroom Whats Happening Live Events Latest News Today DOD Press Products Releases Advisories Transcripts Speeches Publications Contracts Legal Administrative Privacy SecurityLinks DisclaimerSection 508Web PolicyPlain Writing ActDOD IGReporting Civilian CasualtiesNo FEAR ActImagery UseFOIAOpen GOVStrategic PlanUSA.govSmall Business ActSite Map News Defense News Artificial Intelligence Enablers Seek Out Problems Solve Nov. 24, 2020 BY C. Todd Lopez , DOD News The Joint Artificial Intelligence Center began 2018 accelerate DODs adoption integration artificial intelligence. From start, meant serve AI center excellence provide resources, tools expertise department. The JAICs new director said centers early efforts bore fruit, overall effort transformational aggressive approach needed. 34:22 In JAIC 1.0, helped jumpstart AI DOD Pathfinder projects called mission initiatives, said Marine Corps Lt. Gen. Michael S. Groen, briefing today Pentagon. We learned great deal brought onboard brightest talent business. It amazing. When took stock, however, realized transformational enough. We werent going position transform department delivery use cases. Now, Groen said, refers centers change effort JAIC 2.0, includes aggressive push adoption proliferation AI department. Artificial Intelligence The Joint Artificial Intelligence Center Defense Innovation Unit hope use artificial intelligence machine learning help Army reduce time takes correct financial errors. SHARE IMAGE: Download Image Image Details Photo By: U.S. Army VIRIN: 201005AZZ999001X We seek push harder department accelerate adoption AI aspect warfighting business operations, Groen said. While JAIC continue develop AI solutions, working parallel enable broad range customers department. Groen said JAIC broader range department participants getting involved AI, happen renewed focus Joint Common Foundation cloudenabled AI platform accelerate development, testing fielding new AI capabilities expected reach initial operating capability 2021. Artificial Intelligence The Joint Artificial Intelligence Center Defense Innovation Unit hope use artificial intelligence machine learning help Army reduce time takes correct financial errors. SHARE IMAGE: Download Image Image Details Photo By: Courtney Maxson, Army VIRIN: 201005AZZ999002X Its resource all, especially disadvantaged users dont infrastructure tech expertise themselves, Groen said. Were recrafting engagement mechanism inside JAIC actively seek problems help successful. We problem pull product push. Spotlight: Artificial Intelligence Spotlight: Artificial Intelligence: Artificial Intelligence jaic Products Choose products want delivered inbox. Explore Commanders taking steps stop spread coronavirus adhering guidelines wearing mask, washing hands maintaining social distance feet. The chief operations officer Operation Warp Speed discussed COVID19 vaccines delivered administered press briefing Washington, D.C. While serving Marine Corps, Billy Mills qualified 1964 Summer Olympics Tokyo U.S. Track Field Team. Commissaries adding digital contactless thermometers childrens reusable masks store inventories, Defense Commissary Agencys director sales announced. The Defense Logistics Agency making sure warfighters homecooked meal trimmings Thanksgiving. The Food Drug Administration issued emergency use authorization drugs promise reducing hospitalization emergency room visits COVID19 patients. The opening 142nd Wing Airman Family Readiness Center final step wings effort build robust, ready able resiliency team serve airmen Charged developing delivering vaccine 300 million Americans, Operation Warp Speed paired military planners experts Centers Disease Control Prevention work details monumental plan. Marine Corps Gen. Christian Schilt earned Medal Honor bravery skies Nicaragua, faced hostile flying medical supplies evacuating Marines wounded enemy ambush. The Space Force building service goals defending U.S. partner assets space, developing capabilities needed future, leader said. View More HomeCoronavirus UpdateWhats NewOur StoryNewsroom Helpful Links Live EventsToday DODContractsFor Media Resources DOD ResourcesFrequently Asked QuestionsDOD Military WebsitesInsigniaFY20 Financial Report Popular Coronavirus: DOD ResponseOperation Warp SpeedNational Defense StrategyDOD Space Strategy The Department Defense provides military forces needed deter war ensure nations security. Enter Your Terms Privacy SecurityLinks DisclaimerSection 508Web PolicyPlain Writing ActDOD IGReporting Civilian CasualtiesNo FEAR ActImagery UseFOIAOpen GOVStrategic PlanUSA.govSmall Business ActSite Map
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https://venturebeat.com/2020/04/02/amazon-sensetime-omnisource-framework-web-data-video-recognition/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
2020-04-02T00:00:00
en
Amazon and SenseTime detail OmniSource, a framework that scrapes web videos to train AI | VentureBeat
Amazon and SenseTime detail OmniSource, a framework that scrapes web videos to train AI | VentureBeat VentureBeat Homepage Channels GamesBeat AI AR/VR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got a news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI and Security Search Icon Helpful Links Got a news tip? Press Releases VB Lab Contact Webinars About Us Privacy Advertise Careers Guest Posts Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS Follow VentureBeat on Facebook Follow VentureBeat on Twitter Follow VentureBeat on Instagram Follow VentureBeat on LinkedIn Follow VentureBeat on Flipboard Follow VentureBeat on RSS AI Amazon and SenseTime detail OmniSource, a framework that scrapes web videos to train AI Kyle Wiggers@Kyle_L_Wiggers April 2, 2020 9:14 AM The logo of Amazon is seen at the company logistics center in Boves, France, September 18, 2019.Image Credit: Reuters / Pascal Rossignol Researchers at AI startup SenseTime, Amazon, and the Chinese University of Hong Kong say they’ve developed a new framework for leveraging web data — OmniSource — that notches records in the video recognition domain. By overcoming barriers between data formats like images, short videos, and long untrimmed videos and adopting good practices like data balancing, it’s ostensibly able to classify videos more accurately than state-of-the-art models while using up to 100 times less data. In the future, OmniSource could be applied to security cameras within private and public places. Or it could inform the design of the moderation algorithms used on networks like Facebook. As the researchers note, collecting the data required to train classification algorithms is costly and time-consuming. Because videos often contain multiple shots with one or more subjects, they must be watched in their entirety, manually cut into clips, and carefully annotated. Above: A diagram of OmniSource’s architecture. OmniSource, then, exploits web data of various forms (e.g., images, trimmed videos, and untrimmed videos) from sources (search engines, social media) in an integrated way. An AI system filters out low-quality data samples and labels those that pass its muster (70% to 80% on average), transforming each to make it applicable for a target task while improving the robustness of the classification model’s training. When given a recognition task, OmniSource obtains keywords for each class name in the taxonomy and crawls web data from the abovementioned sources, automatically discarding any duplicate data. For static images, to prep them for use during joint training, it generates “pseudo” videos by viewing them with a moving camera. In the joint training phase, once the data has been filtered and transformed into the same format of that in the target data set, OmniSource balances the web and target corpora and employs a cross-data set mixup strategy, where pairs of examples and their labels are used for training. (The researchers report that cross-data mixup works well when the video recognition models are trained from scratch, albeit less well for fine-tuning.) In tests, the team used three target data sets: Kinematics-400, which contains 400 classes with 400 10-minute videos each YouTube-car, which contains thousands of videos showcasing 196 types of different cars UCF101, a video recognition data set with 100 clips and 101 classes With respect to the web sources, they collected over 2 million images from Google Image Search, over 1.5 million images and 500,000 videos from Instagram, and over 17,000 videos from YouTube. In conjunction with the target data sets, all of these were fed into several video classification models. The team reports that with only 3.5 million images and 800,000 minutes videos crawled from the internet without human labeling — less than 2% of prior works — the trained models exhibited at least a 3.0% accuracy improvement benchmarked against the Kinetics-400 data set, up to an accuracy of 83.6%. Meanwhile, their best trained-from-scratch model achieved 80.4% accuracy on Kinetics-400. “Our framework can achieve comparable or better performance with a much simpler (also lighter) backbone design and smaller input size [than state of the art techniques],” wrote the coauthors of a paper describing OmniSource. “[It] leverages task-specific data collection and is more data-efficient, which greatly reduces the amount of data required … over previous methods. [Moreover, the] framework is generalizable to various video tasks such as video recognition and fine-grained categorization.” VB Transform The AI event for business leaders San Francisco July 15 - 16 Learn More Most Read AT&T's 39GHz spectrum win sets stage for national 3Gbps 5G service YouTube spinout PlanetScale Iaunches Kubernetes-based multi-cloud database to accelerate scaling Candor: 267 companies have frozen hiring, 44 had layoffs, 36 rescinded offers, 111 are hiring 5G is live in 3 countries, but we still need answers on health risks UPCOMING EVENTS GamesBeat Summit Apr. 28-29 The industry’s most intimate gaming event for senior industry executives, developers and investors. VB Transform Jul. 15-16 The AI event of the year for enterprise executives, brought to you by today’s leading AI publisher.
Amazon and SenseTime detail OmniSource, a framework that scrapes web videos to train AI
Amazon SenseTime OmniSource, framework scrapes web videos train AI VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Security Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS AI Amazon SenseTime OmniSource, framework scrapes web videos train AI Kyle Wiggers April 2, 2020 9:14 AM The logo Amazon seen company logistics center Boves, France, September 18, 2019.Image Credit: Reuters Pascal Rossignol Researchers AI startup SenseTime, Amazon, Chinese University Hong Kong theyve developed new framework leveraging web data OmniSource notches records video recognition domain. By overcoming barriers data formats like images, short videos, long untrimmed videos adopting good practices like data balancing, ostensibly able classify videos accurately stateoftheart models 100 times data. In future, OmniSource applied security cameras private public places. Or inform design moderation algorithms networks like Facebook. As researchers note, collecting data required train classification algorithms costly timeconsuming. Because videos contain multiple shots subjects, watched entirety, manually cut clips, carefully annotated. Above: A diagram OmniSources architecture. OmniSource, then, exploits web data forms e.g., images, trimmed videos, untrimmed videos sources search engines, social media integrated way. An AI filters lowquality data samples labels pass muster 70 80 average, transforming applicable target task improving robustness classification models training. When given recognition task, OmniSource obtains keywords class taxonomy crawls web data abovementioned sources, automatically discarding duplicate data. For static images, prep use joint training, generates pseudo videos viewing moving camera. In joint training phase, data filtered transformed format target data set, OmniSource balances web target corpora employs crossdata set mixup strategy, pairs examples labels training. The researchers report crossdata mixup works video recognition models trained scratch, albeit finetuning. In tests, team target data sets: Kinematics400, contains 400 classes 400 10minute videos YouTubecar, contains thousands videos showcasing 196 types different cars UCF101, video recognition data set 100 clips 101 classes With respect web sources, collected 2 million images Google Image , 1.5 million images 500,000 videos Instagram, 17,000 videos YouTube. In conjunction target data sets, fed video classification models. The team reports 3.5 million images 800,000 minutes videos crawled internet human labeling 2 prior works trained models exhibited 3.0 accuracy improvement benchmarked Kinetics400 data set, accuracy 83.6. Meanwhile, best trainedfromscratch model achieved 80.4 accuracy Kinetics400. Our framework achieve comparable better performance simpler lighter backbone design smaller input size [than state art techniques], wrote coauthors paper describing OmniSource. [It] leverages taskspecific data collection dataefficient, greatly reduces data required previous methods. [Moreover, the] framework generalizable video tasks video recognition finegrained categorization. VB Transform The AI event business leaders San Francisco July 15 16 Learn More Most Read ATTs 39GHz spectrum win sets stage national 3Gbps 5G service YouTube spinout PlanetScale Iaunches Kubernetesbased multicloud database accelerate scaling Candor: 267 companies frozen hiring, 44 layoffs, 36 rescinded offers, 111 hiring 5G live 3 countries, need answers health risks UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher.
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https://fusionscienceacademy.com/top-key-players-covered-in-global-conversational-ai-in-healthcare-market-are-nvidia-us-intel-us-ibm-us-google-us-microsoft-us-aws-us-general-vision-us-ge-healthcare-us-siemens/
2020-04-30T00:00:00
en
Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) – Fusion Science Academy
Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) – Fusion Science Academy About Us Our Writers Contact Us Terms and Conditions Privacy Policy Join Our Newsletter Connect with us Fusion Science Academy Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) Market Forecast Industry Trends Market Report Market Sales Industry Analysis Market Outlook Contact Us MARKET REPORT Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) Published 4 mins ago on April 30, 2020 By [email protected] Conversational AI In Healthcare Market Forecast Get latest Market Research Reports on Conversational AI In Healthcare. Industry analysis & Market Report on Conversational AI In Healthcare is a syndicated market report, published as Global Conversational AI In Healthcare Market Professional Survey 2019 by Manufacturers, Regions, Types and Applications, Forecast to 2024. It is complete Research Study and Industry Analysis of Conversational AI In Healthcare market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market. Get sample copy of this report @ The development policies and plans of the Global Conversational AI In Healthcare Market are taken into account in addition to the manufacturing processes and cost structures. This report also states import-export, supply and consumption figures as well as cost, price, revenue and gross margin by regions (United States, Europe, China and Japan). Other regions can be customized as per request The report offers a basic outline of the industry comprising of the definitions, classifications, applications and industry chain structure. The Conversational AI In Healthcare Market, analysis is provided for the worldwide market including development history, competitive landscape analysis, and major regions’ development status. The viability of new outlay projects are calculated and complete research deductions is offered.  The report delivers major data on the state of the industry and is a prized source of assistance and direction for businesses and individuals concerned in the market. Key Companies Analysis: – NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US). The market has active participation of start-ups. A few emerging companies in the market are CloudMedx (US), Imagia Cybernetics (Canada), Precision Health AI (US), and Cloud  Pharmaceuticals (US) The report highlights the major industry players globally with information such as company profiles, product picture and specification, capacity, production, price, cost, revenue, and contact information. Upstream raw materials, equipment, and downstream consumers analysis is also carried out. Plus, the Conversational AI In Healthcareindustry development trends, and marketing channels are evaluated. The report provides insights on the following pointers: Market Penetration: Provides comprehensive information on Conversational AI In Healthcare offered by the key players in the global Conversational AI In Healthcare market. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the global Conversational AI In Healthcare market. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the global Conversational AI In Healthcare market. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the global Conversational AI In Healthcare market. Competitive Assessment & Intelligence: Provides exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the global Conversational AI In Healthcare market. Complete report on Conversational AI In Healthcare Market with Tables, Chart and figures @ Major Points Covered in Table of Contents: 1 Industry Overview 2 Manufacturing Cost Structure Analysis of Conversational AI In Healthcare 3 Technical Data and Manufacturing Plants Analysis 4 Production Analysis of Conversational AI In Healthcare by Regions, Technology, and Applications 5 Sales and Revenue Analysis of Conversational AI In Healthcare by Regions 6 Analyses of Conversational AI In Healthcare Production, Supply, Sales and Market Status 7 Analysis of Conversational AI In Healthcare Industry Key Manufacturers 8 Price and Gross Margin Analysis 9 Marketing Traders or Distributor Analysis of Conversational AI In Healthcare 10 Development Trend of Conversational AI In Healthcare Industry 11 Industry Chain Suppliers of Conversational AI In Healthcare with Contact Information 12 New Project Investment Feasibility Analysis of Conversational AI In Healthcare 13 Conclusion of the Global Conversational AI In Healthcare Industry 2020 Market Research Report List of Tables and Figures About Us: Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. Contact Us: Sanjay Jain Manager – Partner Relations & International Marketing www.reportsandmarkets.com Connect with Us: LinkedIn | Facebook | Twitter Ph: +1-352-353-0818 (US) Author Recent Posts [email protected] Latest posts by [email protected] (see all) Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) - April 30, 2020 How Mud Sexually Transmitted Disease (STD ) Drug Services Market Will Dominate In Coming Years with Trending CAGR 11.2%? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson & Johnson, Bristol-Myers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, and Merck - April 30, 2020 Top Key Players Covered in Global Healthcare Information Technology Software and Services Market are Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems - April 30, 2020 Related Topics: Up Next Global High Power Rf Semiconductors Market: Regional Outlook with High Revenue Segments Don't Miss 3D Optical Microscope Industry Is Set to Boom in 2019 And Coming Years Continue Reading You may like MARKET REPORT Ophthalmoscopes Market is booming worldwide with Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic and Forecast To 2026 Published 51 seconds ago on April 30, 2020 By Anna Boyd Global Ophthalmoscopes Market 2019 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Ophthalmoscopes market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins. For Sample Copy of Reports: www.contrivedatuminsights.com/Home/RequestaSample/1743 Major Companies Profiled in this Report Includes: Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic, Oftas, Dino-Lite Europe, Honsun, Rudolf Riester, WelchAllyn, Iridex, Oscar Boscarol, Alltion (Wuzhou), Timesco, Zumax Medical. The document will assist understand the necessities of customers, find out hassle areas and possibility to get higher, and assist inside the basic management technique of any enterprise. It can guarantee the success of your selling attempt, enables to reveal the patron’s opposition empowering them to be one stage beforehand and restriction losses. “Ophthalmoscopes Market Analysis and Forecast 2019- 2026” document helps the clients to take business organization choices and to recognize strategies of vital players inside the enterprise. The document offers a thorough evaluate of the competitive landscape of the global Ophthalmoscopes Market and the specified commercial enterprise profiles of the marketplace’s outstanding gamers. Threats and weaknesses of main groups are measured with the aid of the analysts inside the record by the usage of industry-fashionable gear together with Porter’s five pressure analysis and SWOT evaluation. The Ophthalmoscopes Market document covers all key parameters along with product innovation, marketplace approach for leading companies, Ophthalmoscopes marketplace proportion, revenue era, the latest studies and development and marketplace expert perspectives. Get Special Discount: www.contrivedatuminsights.com/Home/GetSpecialPricing/1743 The top segments in the market have been highlighted clearly in this report for the readers to understand in a precised manner. These segments have been presented by giving information on their current and predicted state by the end of the forecast period. The information presented would help the upcoming players to gauge the investment scope within the segments and sub-segments of the global Ophthalmoscopes market. The study highlights recent developments in the industry in various developed and developing regions. In addition, it offers an assessment of recent advances in Ophthalmoscopes expected to influence the competitive dynamics of the market. It comprises the examinations done on the previous innovation, ongoing market situations and upcoming forecasts. Accurate information of the merchandises, approaches and market stocks of leading businesses in this specific market is declared. Points Covered in The Report: The major drivers, restraints, opportunities, challenges, and industry trends and their impact on the market forecast are discussed thoroughly. Detailed profiles of various key companies are covered in the report along with their business overview, strategic development and financial data. Every market is studied based on their historic data from 2014 to 2018 and forecast data from 2019 to 2026. The developing factors of the market are discussed in-depth and different segments of the market are explained in detail. Table of Content (TOC): Chapter 1 Introduction and Overview Chapter 2 Industry Cost Structure and Economic Impact Chapter 3 Rising Trends and New Technologies with Major key players Chapter 4 Global Ophthalmoscopes Market Analysis, Trends, Growth Factor Chapter 5 Ophthalmoscopes Market Application and Business with Potential Analysis Chapter 6 Global Ophthalmoscopes Market Segment, Type, Application Chapter 7 Global Ophthalmoscopes Market Analysis (by Application, Type, End User) Chapter 8 Major Key Vendors Analysis of Ophthalmoscopes Market Chapter 9 Development Trend of Analysis Chapter 10 Conclusion For More Information: www.contrivedatuminsights.com/Home/ProductReport/Global-Automatic-Power-Liftgate-Market-Trends-2018-to-2025=1743 Any special requirements about this report, please let us know and we can provide custom report. About Contrive Datum Insights: Contrive Datum Insights (CDI) is the most comprehensive database of market-related research. Serious researchers from across the globe seeking up-to-date information on the latest market trends with in-depth analyses turn to Contrive Datum Insights. Our massive database boasts authentic reports published by leading authors and publications. Contrive Datum Insights’ highly motivated and expert in-house team undertakes rigorous screening of the credentials of publishers and authors before accepting their submissions. Such vetting is imperative for internal quality control.   Contact Us: Alex Jones, (Sales Manager), Office: 4859 Slcan Street, Vancouver, British Columbia, Canada +19084598372, [email protected] www.contrivedatuminsights.com     Author Recent Posts [email protected] Latest posts by [email protected] (see all) Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) - April 30, 2020 How Mud Sexually Transmitted Disease (STD ) Drug Services Market Will Dominate In Coming Years with Trending CAGR 11.2%? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson & Johnson, Bristol-Myers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, and Merck - April 30, 2020 Top Key Players Covered in Global Healthcare Information Technology Software and Services Market are Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems - April 30, 2020 Continue Reading MARKET REPORT Access Cards Market Outlook: Poised For a Strong 2020 Published 2 mins ago on April 30, 2020 By [email protected] Latest released 2020 version of market study on Global Access Cards Market with 122+ market data Tables, Pie Chat, Graphs & Figures spread through Pages and easy to understand in depth analysis. “ Global Access Cards Market by Type (, Proximity Cards, Smart Cards & Others), by End-Users/Application (Hotel Building, Office Building, Government Building & Others), Industry Size, Organizations, and Region – Forecast and outlook to 2026 “. At present, the market has established its presence. The Research presents a complete assessment of the Market and contains a future trend, current growth factors, focused opinions, details, and industry certified market data. Get Access to sample pages @ https://www.htfmarketreport.com/sample-report/2018573-2013-2028-report-on-global-access-cards-market 1. Who is poised to win in 2020 Looking out to 2020, it’s expected to be a big year for Global Access Cards Market in terms of growth. As more companies move some or all of their applications, emerging players are poised to benefit. Some of the players from the overall coverage being profiled were Eastman Chemical Company, SK Chemicals, PetroChina Company Limited, Solvay, Axiall Corporation, KEM One, SABIC Innovative Plastics, 3A Composites GmbH, Teijin, LG Chemicals, Formosa Plastics Group & BASF SE. With the Access Cards market forecast to grow YY% in 2020 and with X-X-X-X expected to be a big beneficiary, it is better positioned than Z-Z-Z-Z for 2020. 2. A wave of New Business Segments comes crashing in According to HTF MI, key business segments sales will cross the $$ mark in 2020, signalling changing consumer preferences. Unlike classified segments popular in the industry i.e. by Type (, Proximity Cards, Smart Cards & Others), by End-Users/Application (Hotel Building, Office Building, Government Building & Others), the latest 2020 version is further broken down / narrowed to highlight new emerging twist of the industry. Check for more detail, Enquire @ https://www.htfmarketreport.com/enquiry-before-buy/2018573-2013-2028-report-on-global-access-cards-market 3. How are the Access Cards companies responding? With Latest earning release, Industry Players disclosing its plans to expand its model for “bringing new offerings to the market faster and with more precision.” Market Makers and End Consumers are getting a glimpse of this process with new products henceforth study is given special attention by demand side analysis as well to better understand consumer behaviour and changing preferences. With the large investments from giants are putting new flavour in market, it remains to be seen how effective their new product lines will be and just how much growth it would witness for them. Be the first to tap the potential that Global Access Cards market is holding in it. Uncover the Gaps and Opportunities to derive most useful insights from our research publication to outpace market.Buy this research report @ https://www.htfmarketreport.com/buy-now?format=1&report=2018573 Research objectives • to study and analyse the Global Access Cards Market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2026. • to understand the structure of Access Cards Market by identifying its various sub segments. • Focuses on the key Global Access Cards Market players, to define, describe and analyse the value, market share, market competition landscape, SWOT analysis and development plans in next few years. • to analyse the Access Cards Market with respect to individual growth trends, future prospects, and their contribution to the total market. • to share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks). • To project the size of Access Cards Market, with respect to key regions, type and applications. • To analyse competitive developments such as expansions, agreements, new product launches and acquisitions in the market. Read Detailed Index of full Research Study at @ https://www.htfmarketreport.com/reports/2018573-2013-2028-report-on-global-access-cards-market Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Western / Eastern Europe or Southeast Asia. About Author: HTF Market Report is a wholly owned brand of HTF market Intelligence Consulting Private Limited. HTF Market Report global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the “Accurate Forecast” in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their “Goals & Objectives”. Contact US : Craig Francis (PR & Marketing Manager) HTF Market Intelligence Consulting Private Limited Unit No. 429, Parsonage Road Edison, NJ New Jersey USA – 08837 Phone: +1 (206) 317 1218 [email protected] Connect with us at LinkedIn | Facebook | Twitter Author Recent Posts [email protected] Latest posts by [email protected] (see all) Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) - April 30, 2020 How Mud Sexually Transmitted Disease (STD ) Drug Services Market Will Dominate In Coming Years with Trending CAGR 11.2%? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson & Johnson, Bristol-Myers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, and Merck - April 30, 2020 Top Key Players Covered in Global Healthcare Information Technology Software and Services Market are Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems - April 30, 2020 Continue Reading MARKET REPORT Global High Power Rf Semiconductors Market: Regional Outlook with High Revenue Segments Published 3 mins ago on April 30, 2020 By Market Research Explore The Global High Power Rf Semiconductors Market Research Report 2020 thoroughly depicts insightful evaluation of current and historic trends in the global High Power Rf Semiconductors industry. It examines the changing structure of the market alongside ongoing technological advancements, innovations, and significant developments that have been escalating the growth rate for the last decade. Crucial factors such as High Power Rf Semiconductors market size, share, demand, production, sales, and revenue are also analyzed and forecasted in the report to help clients to comprehend the current and future market performance. The global High Power Rf Semiconductors Market Overview: The market has been aggressively performing across the world with an evenly thriving CAGR over the last few years. According to the studied market statistics, it is likely to strongly clutch a remunerative status during the forecast years with the rapid surge in sales revenue. A number of vital factors including rising High Power Rf Semiconductors demand, product awareness, industrialization in the developed regions, increasing disposable incomes, population hike, market stability, and adequate financial sources are adding substantial progress to the industry. Get Sample of Global High Power Rf Semiconductors Market Report 2020:https://www.marketresearchexplore.com/report/global-high-power-rf-semiconductors-market-report-2019-competitive-landscape-trends-and-opportunities/297450#enquiry Brief Outlook of Global High Power Rf Semiconductors Market Competition: The report further delivers profound assessment of prominent High Power Rf Semiconductors manufacturers and companies, featuring their manufacturing base, production methodologies, effective processes, High Power Rf Semiconductors production volume, organizational structure, cost structure, raw material sourcing, major vendors, corporate alliance, serving segments, distribution channels, and global reach. Companies have also performed strives such as product research, innovation, developments, and technology adoptions to upgrade their industry offerings. More importantly, the report highlights companies’ financial operations and performance with a precise evaluation of their gross margin, revenue, High Power Rf Semiconductors sales volume, pricing structure, production cost, financial ratios, product value, and overall profitability. The report also examines their business strategies such as mergers, ventures, amalgamations, acquisitions, as well as product launches, and brand promotions that aid market players in expanding their global presence and setting new challenges in the industry. Crucial Segments in the Global High Power Rf Semiconductors Industry: Get Expansive Exploration of Global High Power Rf Semiconductors Market 2020 Global High Power Rf Semiconductors market segmentation is also enlightened in the report accenting crucial divisions including High Power Rf Semiconductors types, applications, regions, and end-users. The product type segments are imminently analyzed in the report considering current demand, sales revenue, attractiveness, profitability, and growth potential. The market has been segmented on the basis of customer needs and wants towards the developed products. The analysis helps clients to precisely target the actual desires of their consumer base and enables them to make necessary developments in the final products and services. Subsequently, the study revolves around the global High Power Rf Semiconductors industry environment incorporating pivotal elements such as provincial market regulations, stringent trade frameworks, market entry barriers, as well as the political, social, atmospheric, and financial context that could potentially affect market growth momentum in a negative manner. Current and forthcoming opportunities and challenges are also discovered in the report along with potential risks, obstacles, and uncertainties that are deemed to influence the market structure and performance of the several manufacturers operating in the global High Power Rf Semiconductors market. Write to us at [email protected] if you need more details regarding this study. We are always happy to provide you with a solution according to your requirements. Author Recent Posts [email protected] Latest posts by [email protected] (see all) Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) - April 30, 2020 How Mud Sexually Transmitted Disease (STD ) Drug Services Market Will Dominate In Coming Years with Trending CAGR 11.2%? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson & Johnson, Bristol-Myers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, and Merck - April 30, 2020 Top Key Players Covered in Global Healthcare Information Technology Software and Services Market are Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems - April 30, 2020 Continue Reading Recent Posts Ophthalmoscopes Market is booming worldwide with Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic and Forecast To 2026 Access Cards Market Outlook: Poised For a Strong 2020 Global High Power Rf Semiconductors Market: Regional Outlook with High Revenue Segments Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US) 3D Optical Microscope Industry Is Set to Boom in 2019 And Coming Years Global TD-LTE Ecosystems Market: Expansive Analysis of Trends, Dynamics, and Top Companies Alcohol Market Analysis Covering Size, Growth Factors, Demand, Trends and Forecast 2026 Softball Gloves Market is booming worldwide with Company, Akadema, Easton Sports, Franklin and Forecast To 2026 Curved Sliding Doors Market is booming worldwide with ASSA ABLOY, dorma+kaba, DSS Automatic Doors, Avians and Forecast To 2026 Global Weakly Basic Anion Exchange Resin Market Predicted to Surge with Robust Revenue over 2020 to 2025 Trending MARKET REPORT2 weeks ago New breakthrough in organoids MARKET REPORT3 months ago Smart Transportation Market Analysis Research, Industry Reports By Cisco System, Inc., Accenture, IBM, LG CNS, Indigo Group and Toshiba Corporation and others MARKET REPORT2 weeks ago The splitting of Bitcoin to shake markets of cryptocurrency  MARKET REPORT3 months ago Smart Ticketing Market to Witness Exponential Growth by 2026 | Confidex Ltd., IAC Publishing, LLC, Oberthur Technologies, Rambus.com., Xerox Corporation., Vix Technology MARKET REPORT2 weeks ago Venus Parker Solar investigation makes the Second Planetary Flyby MARKET REPORT3 months ago What are the key market trends impacting the growth of the Sawmill Market? 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Top Key Players Covered in Global Conversational AI In Healthcare Market are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US)
Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US Fusion Science Academy Our Writers Us Join Our Newsletter Connect Fusion Science Academy Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US Market Forecast Industry Trends Market Report Market Sales Industry Analysis Market Outlook Us MARKET REPORT Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US Published 4 mins ago April 30, 2020 By [emailprotected] Conversational AI In Healthcare Market Forecast Get latest Market Research Reports Conversational AI In Healthcare. Industry analysis Market Report Conversational AI In Healthcare syndicated market report, published Global Conversational AI In Healthcare Market Professional Survey 2019 Manufacturers, Regions, Types Applications, Forecast 2024. It complete Research Study Industry Analysis Conversational AI In Healthcare market, understand, Market Demand, Growth, trends analysis Factor Influencing market. Get sample copy report @ The development policies plans Global Conversational AI In Healthcare Market taken account addition manufacturing processes cost structures. This report states importexport, supply consumption figures cost, price, revenue gross margin regions United States, Europe, China Japan. Other regions customized request The report offers basic outline industry comprising definitions, classifications, applications industry chain structure. The Conversational AI In Healthcare Market, analysis provided worldwide market including development history, competitive landscape analysis, major regions development status. The viability new outlay projects calculated complete research deductions offered. The report delivers major data state industry prized source assistance direction businesses individuals concerned market. Key Companies Analysis: NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US. The market active participation startups. A emerging companies market CloudMedx US, Imagia Cybernetics Canada, Precision Health AI US, Cloud Pharmaceuticals US The report highlights major industry players globally information company profiles, product picture specification, capacity, production, price, cost, revenue, contact information. Upstream raw materials, equipment, downstream consumers analysis carried out. Plus, Conversational AI In Healthcareindustry development trends, marketing channels evaluated. The report provides insights following pointers: Market Penetration: Provides comprehensive information Conversational AI In Healthcare offered key players global Conversational AI In Healthcare market. Product Development Innovation: Provides intelligent insights future technologies, RD activities, new product developments global Conversational AI In Healthcare market. Market Development: Provides indepth information lucrative emerging markets analyzes markets global Conversational AI In Healthcare market. Market Diversification: Provides detailed information new products launches, untapped geographies, recent developments, investments global Conversational AI In Healthcare market. Competitive Assessment Intelligence: Provides exhaustive assessment market shares, strategies, products, manufacturing capabilities leading players global Conversational AI In Healthcare market. Complete report Conversational AI In Healthcare Market Tables, Chart figures @ Major Points Covered Table Contents: 1 Industry Overview 2 Manufacturing Cost Structure Analysis Conversational AI In Healthcare 3 Technical Data Manufacturing Plants Analysis 4 Production Analysis Conversational AI In Healthcare Regions, Technology, Applications 5 Sales Revenue Analysis Conversational AI In Healthcare Regions 6 Analyses Conversational AI In Healthcare Production, Supply, Sales Market Status 7 Analysis Conversational AI In Healthcare Industry Key Manufacturers 8 Price Gross Margin Analysis 9 Marketing Traders Distributor Analysis Conversational AI In Healthcare 10 Development Trend Conversational AI In Healthcare Industry 11 Industry Chain Suppliers Conversational AI In Healthcare Information 12 New Project Investment Feasibility Analysis Conversational AI In Healthcare 13 Conclusion Global Conversational AI In Healthcare Industry 2020 Market Research Report List Tables Figures : Market research new buzzword market, helps understanding market potential product market. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing Connect Us: LinkedIn Facebook Twitter Ph: 13523530818 US Author Recent Posts [emailprotected] Latest posts [emailprotected] Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US April 30, 2020 How Mud Sexually Transmitted Disease STD Drug Services Market Will Dominate In Coming Years Trending CAGR 11.2? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson Johnson, BristolMyers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, Merck April 30, 2020 Top Key Players Covered Global Healthcare Information Technology Software Services Market Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems April 30, 2020 Related Topics: Up Next Global High Power Rf Semiconductors Market: Regional Outlook High Revenue Segments Dont Miss 3D Optical Microscope Industry Is Set Boom 2019 And Coming Years Continue Reading You like MARKET REPORT Ophthalmoscopes Market booming worldwide Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic Forecast To 2026 Published 51 seconds ago April 30, 2020 By Anna Boyd Global Ophthalmoscopes Market 2019 research provides basic overview industry including definitions, classifications, applications industry chain structure. The Global Ophthalmoscopes market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. For Sample Copy Reports: Major Companies Profiled Report ludes: Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic, Oftas, DinoLite Europe, Honsun, Rudolf Riester, WelchAllyn, Iridex, Oscar Boscarol, Alltion Wuzhou, Timesco, Zumax Medical. The document assist understand necessities customers, hassle areas possibility higher, assist inside basic management technique enterprise. It guarantee success selling attempt, enables reveal patrons opposition empowering stage restriction losses. Ophthalmoscopes Market Analysis Forecast 2019 2026 document helps clients business organization choices recognize strategies vital players inside enterprise. The document offers thorough evaluate competitive landscape global Ophthalmoscopes Market specified commercial enterprise profiles marketplaces outstanding gamers. Threats weaknesses main groups measured aid analysts inside record usage industryfashionable gear Porters pressure analysis SWOT evaluation. The Ophthalmoscopes Market document covers key parameters product innovation, marketplace approach leading companies, Ophthalmoscopes marketplace proportion, revenue era, latest studies development marketplace expert perspectives. Get Special Discount: The segments market highlighted clearly report readers understand precised manner. These segments presented giving information current predicted state end forecast period. The information presented help upcoming players gauge investment scope segments subsegments global Ophthalmoscopes market. The study highlights recent developments industry developed developing regions. In addition, offers assessment recent advances Ophthalmoscopes expected influence competitive dynamics market. It comprises examinations previous innovation, ongoing market situations upcoming forecasts. Accurate information merchandises, approaches market stocks leading businesses specific market declared. Points Covered The Report: The major drivers, restraints, opportunities, challenges, industry trends impact market forecast discussed thoroughly. Detailed profiles key companies covered report business overview, strategic development financial data. Every market studied based historic data 2014 2018 forecast data 2019 2026. The developing factors market discussed indepth different segments market explained detail. Table Content TOC: Chapter 1 Introduction Overview Chapter 2 Industry Cost Structure Economic Impact Chapter 3 Rising Trends New Technologies Major key players Chapter 4 Global Ophthalmoscopes Market Analysis, Trends, Growth Factor Chapter 5 Ophthalmoscopes Market Application Business Potential Analysis Chapter 6 Global Ophthalmoscopes Market Segment, Type, Application Chapter 7 Global Ophthalmoscopes Market Analysis Application, Type, End User Chapter 8 Major Key Vendors Analysis Ophthalmoscopes Market Chapter 9 Development Trend Analysis Chapter 10 Conclusion For More Information: Any special requirements report, let know provide custom report. About Contrive Datum Insights: Contrive Datum Insights CDI comprehensive database marketrelated research. Serious researchers globe seeking uptodate information latest market trends indepth analyses turn Contrive Datum Insights. Our massive database boasts authentic reports published leading authors publications. Contrive Datum Insights highly motivated expert inhouse team undertakes rigorous screening credentials publishers authors accepting submissions. Such vetting imperative internal quality control. Us: Alex Jones, Sales Manager, Office: 4859 Slcan Street, Vancouver, British Columbia, Canada 19084598372, [emailprotected] Author Recent Posts [emailprotected] Latest posts [emailprotected] Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US April 30, 2020 How Mud Sexually Transmitted Disease STD Drug Services Market Will Dominate In Coming Years Trending CAGR 11.2? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson Johnson, BristolMyers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, Merck April 30, 2020 Top Key Players Covered Global Healthcare Information Technology Software Services Market Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems April 30, 2020 Continue Reading MARKET REPORT Access Cards Market Outlook: Poised For Strong 2020 Published 2 mins ago April 30, 2020 By [emailprotected] Latest released 2020 version market study Global Access Cards Market 122 market data Tables, Pie Chat, Graphs Figures spread Pages easy understand depth analysis. Global Access Cards Market Type , Proximity Cards, Smart Cards Others, EndUsersApplication Hotel Building, Office Building, Government Building Others, Industry Size, Organizations, Region Forecast outlook 2026. At present, market established presence. The Research presents complete assessment Market contains future trend, current growth factors, focused opinions, details, industry certified market data. Get Access sample @ 1. Who poised win 2020 Looking 2020, expected big year Global Access Cards Market terms growth. As companies applications, emerging players poised benefit. Some players overall coverage profiled Eastman Chemical Company, SK Chemicals, PetroChina Company Limited, Solvay, Axiall Corporation, KEM One, SABIC Innovative Plastics, 3A Composites GmbH, Teijin, LG Chemicals, Formosa Plastics Group BASF SE. With Access Cards market forecast grow YY 2020 XXXX expected big beneficiary, better positioned ZZZZ 2020. 2. A wave New Business Segments comes crashing According HTF MI, key business segments sales cross mark 2020, signalling changing consumer preferences. Unlike classified segments popular industry i.e. Type , Proximity Cards, Smart Cards Others, EndUsersApplication Hotel Building, Office Building, Government Building Others, latest 2020 version broken narrowed highlight new emerging twist industry. Check detail, Enquire @ 3. How Access Cards companies responding? With Latest earning release, Industry Players disclosing plans expand model bringing new offerings market faster precision. Market Makers End Consumers getting glimpse process new products henceforth study given special attention demand analysis better understand consumer behaviour changing preferences. With large investments giants putting new flavour market, remains seen effective new product lines growth witness them. Be tap potential Global Access Cards market holding it. Uncover Gaps Opportunities derive useful insights research publication outpace market.Buy research report @ Research objectives study analyse Global Access Cards Market size key regionscountries, product type application, history data 2014 2018, forecast 2026. understand structure Access Cards Market identifying sub segments. Focuses key Global Access Cards Market players, define, analyse value, market share, market competition landscape, SWOT analysis development plans years. analyse Access Cards Market respect individual growth trends, future prospects, contribution total market. share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project size Access Cards Market, respect key regions, type applications. To analyse competitive developments expansions, agreements, new product launches acquisitions market. Read Detailed Index Research Study @ Thanks reading article; individual chapter wise section region wise report version like North America, Western Eastern Europe Southeast Asia. About Author: HTF Market Report wholly owned brand HTF market Intelligence Consulting Private Limited. HTF Market Report global research market intelligence consulting organization uniquely positioned identify growth opportunities empower inspire create visionary growth strategies futures, enabled extraordinary depth breadth thought leadership, research, tools, events experience assist making goals reality. Our understanding interplay industry convergence, Mega Trends, technologies market trends provides clients new business models expansion opportunities. We focused identifying Accurate Forecast industry cover clients reap benefits early market entrants accomplish Goals Objectives. US : Craig Francis PR Marketing Manager HTF Market Intelligence Consulting Private Limited Unit No. 429, Parsonage Road Edison, NJ New Jersey USA 08837 Phone: 1 206 317 1218 [emailprotected] Connect atLinkedInFacebookTwitter Author Recent Posts [emailprotected] Latest posts [emailprotected] Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US April 30, 2020 How Mud Sexually Transmitted Disease STD Drug Services Market Will Dominate In Coming Years Trending CAGR 11.2? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson Johnson, BristolMyers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, Merck April 30, 2020 Top Key Players Covered Global Healthcare Information Technology Software Services Market Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems April 30, 2020 Continue Reading MARKET REPORT Global High Power Rf Semiconductors Market: Regional Outlook High Revenue Segments Published 3 mins ago April 30, 2020 By Market Research Explore The Global High Power Rf Semiconductors Market Research Report 2020 thoroughly depicts insightful evaluation current historic trends global High Power Rf Semiconductors industry. It examines changing structure market alongside ongoing technological advancements, innovations, significant developments escalating growth rate decade. Crucial factors High Power Rf Semiconductors market size, share, demand, production, sales, revenue analyzed forecasted report help clients comprehend current future market performance. The global High Power Rf Semiconductors Market Overview: The market aggressively performing world evenly thriving CAGR years. According studied market statistics, likely strongly clutch remunerative status forecast years rapid surge sales revenue. A number vital factors including rising High Power Rf Semiconductors demand, product awareness, industrialization developed regions, increasing disposable incomes, population hike, market stability, adequate financial sources adding substantial progress industry. 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The report examines business strategies mergers, ventures, amalgamations, acquisitions, product launches, brand promotions aid market players expanding global presence setting new challenges industry. Crucial Segments Global High Power Rf Semiconductors Industry: Get Expansive Exploration Global High Power Rf Semiconductors Market 2020 Global High Power Rf Semiconductors market segmentation enlightened report accenting crucial divisions including High Power Rf Semiconductors types, applications, regions, endusers. The product type segments imminently analyzed report considering current demand, sales revenue, attractiveness, profitability, growth potential. The market segmented basis customer needs wants developed products. The analysis helps clients precisely target actual desires consumer base enables necessary developments final products services. Subsequently, study revolves global High Power Rf Semiconductors industry environment incorporating pivotal elements provincial market regulations, stringent trade frameworks, market entry barriers, political, social, atmospheric, financial context potentially affect market growth momentum negative manner. Current forthcoming opportunities challenges discovered report potential risks, obstacles, uncertainties deemed influence market structure performance manufacturers operating global High Power Rf Semiconductors market. Write at[emailprotected]if need details study. We happy provide solution according requirements. Author Recent Posts [emailprotected] Latest posts [emailprotected] Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US April 30, 2020 How Mud Sexually Transmitted Disease STD Drug Services Market Will Dominate In Coming Years Trending CAGR 11.2? Key Players: Pfizer, Roche, Bayer, Eli Lilly, Johnson Johnson, BristolMyers Squibb, AbbVie, Gilead Sciences, GlaxoSmithKline, Merck April 30, 2020 Top Key Players Covered Global Healthcare Information Technology Software Services Market Meditech, Cerner Corporation, Mckesson Corporation, Siemens Healthcare, Epic Systems April 30, 2020 Continue Reading Recent Posts Ophthalmoscopes Market booming worldwide Medline Industries, Welch Allyn, HEINE Optotechnik, US Ophthalmic Forecast To 2026 Access Cards Market Outlook: Poised For Strong 2020 Global High Power Rf Semiconductors Market: Regional Outlook High Revenue Segments Top Key Players Covered Global Conversational AI In Healthcare Market NVIDIA US, Intel US, IBM US, Google US, Microsoft US, AWS US, General Vision US, GE Healthcare US, Siemens Healthineers Germany, Medtronic plc US 3D Optical Microscope Industry Is Set Boom 2019 And Coming Years Global TDLTE Ecosystems Market: Expansive Analysis Trends, Dynamics, Top Companies Alcohol Market Analysis Covering Size, Growth Factors, Demand, Trends Forecast 2026 Softball Gloves Market booming worldwide Company, Akadema, Easton Sports, Franklin Forecast To 2026 Curved Sliding Doors Market booming worldwide ASSA ABLOY, dormakaba, DSS Automatic Doors, Avians Forecast To 2026 Global Weakly Basic Anion Exchange Resin Market Predicted Surge Robust Revenue 2020 2025 Trending MARKET REPORT2 weeks ago New breakthrough organoids MARKET REPORT3 months ago Smart Transportation Market Analysis Research, Industry Reports ByCisco System, ., Accenture, IBM, LG CNS, Indigo Group Toshiba Corporation MARKET REPORT2 weeks ago The splitting Bitcoin shake markets cryptocurrency MARKET REPORT3 months ago Smart Ticketing Market Witness Exponential Growth 2026 Confidex Ltd., IAC Publishing, LLC, Oberthur Technologies, ., Xerox Corporation., Vix Technology MARKET REPORT2 weeks ago Venus Parker Solar investigation makes Second Planetary Flyby MARKET REPORT3 months ago What key market trends impacting growth Sawmill Market? 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POSITIVE
755
https://techcrunch.com/2020/09/01/founded-by-an-impossible-foods-and-google-data-scientist-climax-foods-raises-7-5-million-to-tackle-the-cheesiest-market/
2020-09-01T00:00:00
en
Founded by an Impossible Foods, and Google data scientist, Climax Foods raises $7.5 million to tackle the cheesiest market – TechCrunch
Founded by an Impossible Foods, and Google data scientist, Climax Foods raises $7.5 million to tackle the cheesiest market – TechCrunch Founded by an Impossible Foods, and Google data scientist, Climax Foods raises $7.5 million to tackle the cheesiest market Jonathan Shieber @jshieber / 7 hours Oliver Zahn began his professional career studying the stars. The founder of Climax Foods, a startup that’s using data science to replace animal proteins with plant-based substitutes, spent years at the University of California at Berkeley with his eyes fixed firmly toward the heavens before taking up with Pat Brown and Impossible Foods as the company’s leading data scientist. That experience focused Zahn on more terrestrial concerns and undoubtedly led the founder down the path to launching Climax Foods. Now with $7.5 million in financing from investors including At One Ventures, founded by the GoogleX co-founder Tom Chi, along with Manta Ray Ventures, S2G Ventures, Valor Siren Ventures, Prelude Ventures, ARTIS Ventures, Index Ventures, Luminous Ventures, Canaccord Genuity Group, Carrot Capital and Global Founders Capital, Zahn is ready to take on the future of food. The pitch to investors is similar to the one that Josh Tetrick made at Just Food (the company formerly known as Hampton Creek). It’s elegant in its simplicity — scan the natural world for proteins that have the same or better characteristics than those that are currently made by animals and make products with them. By looking at what makes animal products so delicious, the company will find their plant-based analogs and start producing. As with most things that depend on data science, the taxonomy is the key. So Climax Foods is building machine learning algorithms that will process and cross-reference molecular structures to find the best fit. It’s starting with cheese. While, the replacing the humble wheel of cheese may not seem like a worthy adversary for an astrophysicist, companies have already raised hundreds of millions to defeat the big dairy industry. “We are at a pivotal time where industrialization enabled explosive population growth and consumption of animal products. Today, more than 90% of all mammalian animals and more than 70% of all birds on the planet exist for the sole purpose of metabolizing plants and being turned into food,” said Zahn in a statement. “This industry is complex and wasteful, creating as much climate change as all modes of transportation combined, and using more than a third of the earth’s water and usable land. By speeding up food science innovation, Climax Foods is able to convert plants into equally craveable foods without the environmental impact.” Joining Zahn on this quest to conquer the cheese industrial complex and its milk-made monstrousness are a few seasoned industry veterans including co-founder, Caroline Love, the company’s chief operating officer and former sales and operations executive from JUST foods, and Pavel Aronov, a Stanford-educated chemist who previously worked at the chemicals giant thermo-Fisher. “Climax Foods is tackling the same opportunity to change the market and the food system, but they are doing it with an entirely novel technological approach. They are using data science to produce a new category of foods that will not merely compete with, but out-compete, animal products in terms of taste, nutritional density, and price,” said Sanjeev Krishnan, one of the largest investors in the plant protein space and Chief Investment Officer of S2G Ventures. “The machine intelligence approach Climax Foods is pioneering is critical for harnessing the vast number of ways raw ingredients and natural processes can be used to create the ultimate digital recipes.” Krishnan would know. He’s an investor in Beyond Meat, the most successful public offering of a plant-based protein replacement company.
Founded by an Impossible Foods, and Google data scientist, Climax Foods raises $7.5 million to tackle the cheesiest market
Founded Impossible Foods, Google data scientist, Climax Foods raises 7.5 million tackle cheesiest market TechCrunch Founded Impossible Foods, Google data scientist, Climax Foods raises 7.5 million tackle cheesiest market Jonathan Shieber 7 hours Oliver Zahn began professional career studying stars. The founder Climax Foods, startup thats data science replace animal proteins plantbased substitutes, spent years University California Berkeley eyes fixed firmly heavens taking Pat Brown Impossible Foods companys leading data scientist. That experience focused Zahn terrestrial concerns undoubtedly led founder path launching Climax Foods. Now 7.5 million financing investors including At One Ventures, founded GoogleX cofounder Tom Chi, Manta Ray Ventures, S2G Ventures, Valor Siren Ventures, Prelude Ventures, ARTIS Ventures, Index Ventures, Luminous Ventures, Canaccord Genuity Group, Carrot Capital Global Founders Capital, Zahn ready future food. The pitch investors similar Josh Tetrick Just Food company known Hampton Creek. Its elegant simplicity scan natural world proteins better characteristics currently animals products them. By looking makes animal products delicious, company plantbased analogs start producing. As things depend data science, taxonomy key. So Climax Foods building machine learning algorithms process crossreference molecular structures best fit. Its starting cheese. While, replacing humble wheel cheese like worthy adversary astrophysicist, companies raised hundreds millions defeat big dairy industry. We pivotal time industrialization enabled explosive population growth consumption animal products. Today, 90 mammalian animals 70 birds planet exist sole purpose metabolizing plants turned food, said Zahn statement. This industry complex wasteful, creating climate change modes transportation combined, earths water usable land. By speeding food science innovation, Climax Foods able convert plants equally craveable foods environmental impact. Joining Zahn quest conquer cheese industrial complex milkmade monstrousness seasoned industry veterans including cofounder, Caroline Love, companys chief operating officer sales operations executive JUST foods, Pavel Aronov, Stanfordeducated chemist previously worked chemicals giant thermoFisher. Climax Foods tackling opportunity change market food system, entirely novel technological approach. They data science produce new category foods merely compete with, outcompete, animal products terms taste, nutritional density, price, said Sanjeev Krishnan, largest investors plant protein space Chief Investment Officer S2G Ventures. The machine intelligence approach Climax Foods pioneering critical harnessing vast number ways raw ingredients natural processes create ultimate digital recipes. Krishnan know. Hes investor Beyond Meat, successful public offering plantbased protein replacement company.
2,020
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1
NEGATIVE
756
https://mathematicexperts.com/global-industrial-artificial-intelligence-market-to-reach-us-xxx-mn-by-2025-intel-corporation-siemens-ag-ibm-corporation-alphabet-inc-microsoft-corporation/
2020-03-08T00:00:00
en
Global Industrial Artificial Intelligence Market to reach US$ XXX Mn by 2025- Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation – Mathematics Market Methods
Global Industrial Artificial Intelligence Market to reach US$ XXX Mn by 2025- Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation – Mathematics Market Methods Skip to content Sunday, March 8, 2020 Home About Us Disclaimer Our Staff Privacy Policy Contact Us Mathematics Market Methods Research On Market with Mathematics Methods Home Emerging News Industry Reports Market Analytics Market Report Mathematics Researches Science Updates News You are hereHomeEmerging NewsGlobal Industrial Artificial Intelligence Market to reach US$ XXX Mn by 2025- Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation Global Industrial Artificial Intelligence Market to reach US$ XXX Mn by 2025- Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation March 8, 2020 anita Global Industrial Artificial Intelligence Market 2020-2025 Holistic research derivatives focusing on Global Industrial Artificial Intelligence Market is a high-grade professional overview of various market determinants and factors representing factors, challenges, trends, threats, and a holistic overview that determine the overall growth directive of the Global Industrial Artificial Intelligence Market. This intricate research report on QY Reports also lends considerable focus on other growth prospects compiling a holistic mix of crucial determinants such as product portfolio, application description as well as technological sophistication that have a huge impact on the growth prospective of the Global Industrial Artificial Intelligence Market. In tandem with aforementioned factors presented in the report of the target market, this crucial report channelized by encompasses complete review and analysis about a range of market-based information comprising market revenue contributing processes, as well as numerous other high-end information and data synthesis with respect to the aforementioned target market Top Players Included In This Report: Intel Corporation Siemens AG IBM Corporation Alphabet Inc Microsoft Corporation Cisco Systems, Inc General Electric Company Data RPM, Sight Machine General Vision, Inc Rockwell, Automation Inc Mitsubishi Electric Corporation Oracle Corporation SAP SE Get A PDF Sample Of This Report @ https://www.orbismarketreports.com/sample-request/66309?utm_source=Puja Report readers are presented with thought provoking insights on various core facets inclusive of product portfolio, payment structure, transaction interface as well as technological sophistication that crucially enlighten the growth prognosis of the target market. A thorough analytical review of regional break-up is also included in the trailing sections of the report before proceeding with the competitive landscape overview. The research report offers a point-to-point thorough description about innumerable market-based information encompassing dominant trends, restraints, drivers, as well opportunities widely prevalent in the market and their subsequent impact on smooth functioning of the target market. Further to this, the Global Industrial Artificial Intelligence Market report holistically touches upon well-demonstrated data sources and insightful growth influencers about multiple manufacturers and market behemoths working closely in the Global Industrial Artificial Intelligence Market. This report also encapsulates supply chain facets, economic factors and financial data particulars, comprising a range of products & services varieties, intense developments, as well as elaborate analysis of various acquisitions & mergers scenario, present & other future ready growth opportunities and trends that have a direct impact on Global Industrial Artificial Intelligence Market as well as advances, inclusive of technological sophistication, that carefully craft market players’ footfall in the Global Industrial Artificial Intelligence Market, concludes this detailed research offering. Access The Complete Report @ https://www.orbismarketreports.com/global-industrial-artificial-intelligence-market-size-status-and-forecast-2019-2025?utm_source=Puja Types Covered In This Report: Hardware Software Applications Covered In This Report: Semiconductor and Electronics Energy and Power Pharmaceuticals Automobile Heavy Metals and Machine Manufacturing Food and Beverages Others (Textiles & Aerospace) In addition to the factors mentioned above impacting the Global Industrial Artificial Intelligence Market, this comprehensive research report gauges for decisive conclusions concerning growth factors and determinants, eventually influencing holistic growth and lucrative business models in Global Industrial Artificial Intelligence Market. 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For Inquiry Before Buying This Report @ https://www.orbismarketreports.com/enquiry-before-buying/66309?utm_source=Puja Few Points From TOC: 1 Scope of the Report 2 Executive Summary 3 Global Industrial Artificial Intelligence by Players 4 Industrial Artificial Intelligence by Regions …Continued About Us: With unfailing market gauging skills, Orbis Market Reports has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation. Contact Us: Hector Costello Senior Manager – Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 Post navigation Wheel Balancing Weights Market – Market Data, Industry Analysis, Size, & Share 2019-2029Global HAN Application Market to reach US$ XXX Mn by 2025- Cisco Systems, GE Energy, Silver Spring Networks, Google, Motorola Mobility Holdings Related posts Research Report and Overview on Adhesives Films Market, 2019-2020 March 8, 2020 [email protected]Adhesives Films, Adhesives Films Industry, Adhesives Films Market, Adhesives Films Market Intelligence, China Adhesives Films Market Trend, Europe Adhesives Films Market Growth, UK Adhesives Fil In this report, the global Adhesives Films market is valued at USD XX million in 2019... 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Global Industrial Artificial Intelligence Market to reach US$ XXX Mn by 2025- Intel Corporation, Siemens AG, IBM Corporation, Alphabet Inc, Microsoft Corporation
Global Industrial Artificial Intelligence Market reach US XXX Mn 2025 Intel Corporation, Siemens AG, IBM Corporation, Alphabet , Microsoft Corporation Mathematics Market Methods Skip content Sunday, March 8, 2020 Home Disclaimer Our Staff Us Mathematics Market Methods Research On Market Mathematics Methods Home Emerging News Industry Reports Market Analytics Market Report Mathematics Researches Science Updates News You hereHomeEmerging NewsGlobal Industrial Artificial Intelligence Market reach US XXX Mn 2025 Intel Corporation, Siemens AG, IBM Corporation, Alphabet , Microsoft Corporation Global Industrial Artificial Intelligence Market reach US XXX Mn 2025 Intel Corporation, Siemens AG, IBM Corporation, Alphabet , Microsoft Corporation March 8, 2020 anita Global Industrial Artificial Intelligence Market 20202025 Holistic research derivatives focusing Global Industrial Artificial Intelligence Market highgrade professional overview market determinants factors representing factors, challenges, trends, threats, holistic overview determine overall growth directive Global Industrial Artificial Intelligence Market. This intricate research report QY Reports lends considerable focus growth prospects compiling holistic mix crucial determinants product portfolio, application description technological sophistication huge impact growth prospective Global Industrial Artificial Intelligence Market. In tandem aforementioned factors presented report target market, crucial report channelized encompasses complete review analysis range marketbased information comprising market revenue contributing processes, numerous highend information data synthesis respect aforementioned target market Top Players luded In This Report: Intel Corporation Siemens AG IBM Corporation Alphabet Microsoft Corporation Cisco Systems, General Electric Company Data RPM, Sight Machine General Vision, Rockwell, Automation Mitsubishi Electric Corporation Oracle Corporation SAP SE Get A PDF Sample Of This Report @ Report readers presented thought provoking insights core facets inclusive product portfolio, payment structure, transaction interface technological sophistication crucially enlighten growth prognosis target market. A thorough analytical review regional breakup included trailing sections report proceeding competitive landscape overview. 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Access The Complete Report @ Types Covered In This Report: Hardware Software Applications Covered In This Report: Semiconductor Electronics Energy Power Pharmaceuticals Automobile Heavy Metals Machine Manufacturing Food Beverages Others Textiles Aerospace In addition factors mentioned impacting Global Industrial Artificial Intelligence Market, comprehensive research report gauges decisive conclusions concerning growth factors determinants, eventually influencing holistic growth lucrative business models Global Industrial Artificial Intelligence Market. Further course report research report Global Industrial Artificial Intelligence Market identifies notable industry forerunners effective business decisions, aligning market specific factors threats challenges opportunities shape growth Global Industrial Artificial Intelligence Market. 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Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Wheel Balancing Weights Market Market Data, Industry Analysis, Size, Share 20192029Global HAN Application Market reach US XXX Mn 2025 Cisco Systems, GE Energy, Silver Spring Networks, Google, Motorola Mobility Holdings Related posts Research Report Overview Adhesives Films Market, 20192020 March 8, 2020 [emailprotected]Adhesives Films, Adhesives Films Industry, Adhesives Films Market, Adhesives Films Market Intelligence, China Adhesives Films Market Trend, Europe Adhesives Films Market Growth, UK Adhesives Fil In report, global Adhesives Films market valued USD XX million 2019... 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NEGATIVE
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https://spaceq.ca/picterra-and-skywatch-partner-for-ai-and-machine-learning-earth-observation-change-detection/
2020-10-05T00:00:00
en
Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection - SpaceQ
Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection - SpaceQ About SpaceQ Advertise Got a Tip The Team All the News Coronavirus Moon Support Mobile Support Password Recovery SpaceQ Space news and analysis. Home Page Login Subscribe News Business Budget Budget 2020 Budget 2019 Budget 2018 Budget 2017 Budget 2016 Companies ABB Canada Airbus Defence and Space Aireon Canadensys COM DEV Deltion DigitalGlobe exactEarth Gedex GHGSat Helios Wire Honeywell IMP Aerospace Kepler Communications Laboratoires Reaction Dynamics Magellan Aerospace Maxar MDA Maritime Launch Services MBP Communications Microsat Systems Canada Mission Control Space Services NAV Canada Neptec NGC Aérospatiale SkyWatch Space Flight Laboratory Telesat UrtheCast Policy RSSSA The Canadian Space Agency awards 8 contracts for studies of future Earth Observation systems October 5, 2020 Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change DetectionOctober 5, 2020Space Apps Challenge goes virtual and grows in CanadaOctober 2, 2020NASA invites Canadian participation in proposed environmental missionsOctober 1, 2020 CSA Astronaut Chris Hadfield Astronaut David Saint-Jacques Canadian CubeSat Project Dextre International Space Station Investmentspace 2019 Long Term Space Plans Lunar Gateway M3MSat NEOSSat OSIRIS-REx QEYSsat Satellite RADARSAT-2 RADARSAT Constellation Mission Space Technology Development Program State of the Canadian Space Sector Sylvain Laporte Culture Defence Canada Defence Policy Department of National Defense DRDC Enhanced Satellite Communication Project – Polar Military Space Project Grey Jay NEOSSat Sapphire Satellite Space Situational Awareness EO Education Opinion Columns Iain Christie Prashant Shukle Opinions – Your View SpaceQ View Podcasts Science Science Weekend Technology Startup Files Watch Live Special Events Arianespace Canadian Space Agency European Space Agency NASA TV on SpaceQ Perimeter Institute Rocket Lab SpaceX Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection Marc Boucher October 5, 2020 Business, Earth Observation, News Comments Off on Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection Radarsat-2 Amplitude Based Change Detection Map Shows Flooding From Hurricane Michael. Credit: NASA/MDA. Share Facebook Twitter LinkedIn SkyWatch, who develop Earth Observation (EO) software that connects satellite data operators and application developers, is always looking for ways to fulfill its mission of making EO data more accessible and cheaper. Today they announced a new partnership with Picterra who offer a machine learning (ML) and artificial intelligence (AI) software-as-a-service geospatial platform. In an interview with SpaceQ, SkyWatch CEO James Slifierz discusses the new partnership. This page is for subscribers only. Already a subscriber? Log in. Fact-driven space news, columns, business, policy, technology and more. Support independent journalism. SUBSCRIBE TODAY Tags Artificial Intelligence Earth Observation Machine Learning Picterra SkyWatch About Marc Boucher Boucher is an entrepreneur, writer, editor & publisher. He is the founder of SpaceQ Media Inc. and CEO and co-founder of SpaceRef Interactive Inc. Boucher has 20 years working in various roles in the space industry and a total of 28 years as a technology entrepreneur including creating Maple Square, Canada's first internet directory and search engine. @marckboucher Previous Space Apps Challenge goes virtual and grows in Canada Next The Canadian Space Agency awards 8 contracts for studies of future Earth Observation systems Related Articles The Canadian Space Agency awards 8 contracts for studies of future Earth Observation systems October 5, 2020 Space Apps Challenge goes virtual and grows in Canada October 2, 2020 New Canadian Space Agency President makes unexpected visit (Part 1) September 23, 2020 Follow Us Advertisement Advertisement Special Feature Latest News The Canadian Space Agency awards 8 contracts for studies of future Earth Observation systems Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection Space Apps Challenge goes virtual and grows in Canada NASA invites Canadian participation in proposed environmental missions The First Terranaut Wernher von Braun SpaceQ Media Inc. #429 - 509 Commissioners Rd W London, ON N6J 1Y5 Canada [email protected] 1-519-685-6586 Information Advertise About Us The Team Employment Got a Tip? Copyright Notice Privacy Policy Terms of Service More Space News Publications SpaceRef NASA Watch The Astrobiology Web Newsletter Sign up for the SpaceQ Shorts Cuts newsletter © Copyright 2020 SpaceQ Media Inc., All Rights Reserved
Picterra and SkyWatch partner for AI and Machine Learning Earth Observation Change Detection
Picterra SkyWatch partner AI Machine Learning Earth Observation Change Detection SpaceQ About SpaceQ Advertise Got Tip The Team All News Coronavirus Moon Support Mobile Support Password Recovery SpaceQ Space news analysis. Home Page News Business Budget Budget 2020 Budget 2019 Budget 2018 Budget 2017 Budget 2016 Companies ABB Canada Airbus Defence Space Aireon Canadensys COM DEV Deltion DigitalGlobe exactEarth Gedex GHGSat Helios Wire Honeywell IMP Aerospace Kepler Communications Laboratoires Reaction Dynamics Magellan Aerospace Maxar MDA Maritime Launch Services MBP Communications Microsat Systems Canada Mission Control Space Services NAV Canada Neptec NGC Arospatiale SkyWatch Space Flight Laboratory Telesat UrtheCast Policy RSSSA The Canadian Space Agency awards 8 contracts studies future Earth Observation systems October 5, 2020 Picterra SkyWatch partner AI Machine Learning Earth Observation Change DetectionOctober 5, 2020Space Apps Challenge goes virtual grows CanadaOctober 2, 2020NASA invites Canadian participation proposed environmental missionsOctober 1, 2020 CSA Astronaut Chris Hadfield Astronaut David SaintJacques Canadian CubeSat Project Dextre International Space Station Investmentspace 2019 Long Term Space Plans Lunar Gateway M3MSat NEOSSat OSIRISREx QEYSsat Satellite RADARSAT2 RADARSAT Constellation Mission Space Technology Development Program State Canadian Space Sector Sylvain Laporte Culture Defence Canada Defence Policy Department National Defense DRDC Enhanced Satellite Communication Project Polar Military Space Project Grey Jay NEOSSat Sapphire Satellite Space Situational Awareness EO Education Opinion Columns Iain Christie Prashant Shukle Opinions Your View SpaceQ View Podcasts Science Science Weekend Technology Startup Files Watch Live Special Events Arianespace Canadian Space Agency European Space Agency NASA TV SpaceQ Perimeter Institute Rocket Lab SpaceX Picterra SkyWatch partner AI Machine Learning Earth Observation Change Detection Marc Boucher October 5, 2020 Business, Earth Observation, News Comments Off Picterra SkyWatch partner AI Machine Learning Earth Observation Change Detection Radarsat2 Amplitude Based Change Detection Map Shows Flooding From Hurricane Michael. Credit: NASAMDA. Share Facebook Twitter LinkedIn SkyWatch, develop Earth Observation EO software connects satellite data operators application developers, looking ways fulfill mission making EO data accessible cheaper. Today announced new partnership Picterra offer machine learning ML artificial intelligence AI softwareasaservice geospatial platform. In interview SpaceQ, SkyWatch CEO James Slifierz discusses new partnership. This subscribers only. Already subscriber? Log in. Factdriven space news, columns, business, policy, technology more. Support independent journalism. SUBSCRIBE TODAY Tags Artificial Intelligence Earth Observation Machine Learning Picterra SkyWatch About Marc Boucher Boucher entrepreneur, writer, editor publisher. He founder SpaceQ Media . CEO cofounder SpaceRef Interactive . Boucher 20 years working roles space industry total 28 years technology entrepreneur including creating Maple Square, Canadas internet directory search engine. Previous Space Apps Challenge goes virtual grows Canada Next The Canadian Space Agency awards 8 contracts studies future Earth Observation systems Related Articles The Canadian Space Agency awards 8 contracts studies future Earth Observation systems October 5, 2020 Space Apps Challenge goes virtual grows Canada October 2, 2020 New Canadian Space Agency President makes unexpected visit Part 1 September 23, 2020 Advertisement Advertisement Special Feature Latest News The Canadian Space Agency awards 8 contracts studies future Earth Observation systems Picterra SkyWatch partner AI Machine Learning Earth Observation Change Detection Space Apps Challenge goes virtual grows Canada NASA invites Canadian participation proposed environmental missions The First Terranaut Wernher von Braun SpaceQ Media . 429 509 Commissioners Rd W London, ON N6J 1Y5 Canada contactsq 15196856586 Information Advertise The Team Employment Got Tip? Notice More Space News Publications SpaceRef NASA Watch The Astrobiology Web Newsletter Sign SpaceQ Shorts Cuts newsletter 2020 SpaceQ Media .,
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"agency", "awards", "contracts", "studies", "future", "earth", "observation", "systems", "october", "picterra", "skywatch", "partner", "ai", "machine", "learning", "earth", "observation", "change", "space", "apps", "challenge", "goes", "virtual", "grows", "canadaoctober", "nasa", "invites", "canadian", "participation", "proposed", "environmental", "missionsoctober", "csa", "astronaut", "chris", "hadfield", "astronaut", "david", "saintjacques", "canadian", "cubesat", "project", "dextre", "international", "space", "station", "investmentspace", "long", "term", "space", "plans", "lunar", "gateway", "msat", "neossat", "osirisrex", "qeyssat", "satellite", "radarsat", "radarsat", "constellation", "mission", "space", "technology", "development", "program", "state", "canadian", "space", "sector", "sylvain", "laporte", "culture", "defence", "canada", "defence", "policy", "department", "national", "defense", "drdc", "enhanced", "satellite", "communication", "project", "polar", "military", 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"canada", "nasa", "invites", "canadian", "participation", "proposed", "environmental", "missions", "terranaut", "wernher", "von", "braun", "spaceq", "media", "commissioners", "rd", "london", "canada", "contactsq", "information", "advertise", "team", "employment", "got", "tip", "notice", "space", "news", "publications", "spaceref", "nasa", "watch", "astrobiology", "web", "newsletter", "sign", "spaceq", "shorts", "cuts", "newsletter", "spaceq", "media" ]
1
POSITIVE
758
https://www.huntonprivacyblog.com/2020/03/26/cipl-responds-to-privacy-commissioner-of-canadas-proposals-for-ensuring-appropriate-regulation-of-ai/
2020-03-27T00:00:00
en
CIPL Responds to Privacy Commissioner of Canada’s Proposals for Ensuring Appropriate Regulation of AI | Privacy & Information Security Law Blog
CIPL Responds to Privacy Commissioner of Canada’s Proposals for Ensuring Appropriate Regulation of AI | Privacy & Information Security Law Blog Skip to content HomeAboutContactPublications Search… Search Privacy & Information Security Law Blog Global Privacy and Cybersecurity Law Updates and Analysis Home » CIPL Responds to Privacy Commissioner of Canada’s Proposals for Ensuring Appropriate Regulation of AI CIPL Responds to Privacy Commissioner of Canada’s Proposals for Ensuring Appropriate Regulation of AI Posted on March 26, 2020 Posted in Centre for Information Policy Leadership, International On March 12, 2020, the Centre for Information Policy Leadership (“CIPL”) at Hunton Andrews Kurth LLP submitted formal comments to the Office of the Privacy Commissioner of Canada (“OPC”) in response to its proposals for ensuring appropriate regulation of artificial intelligence (“AI”). The OPC is currently engaged in policy analysis relating to the legislative reform of the Personal Information Protection and Electronic Documents Act (“PIPEDA”). Part of this analysis involves examining PIPEDA’s application to AI systems and the OPC has put forward 11 different proposals where it believes PIPEDA could be enhanced. CIPL agrees that the issues raised by the OPC in the consultation are significant and believes that overcoming the challenges will require creativity, flexibility, agility, cooperation, and continued vigilance from both organizations and regulators. Applying existing accountability tools to AI applications forms a key part of this solution. In its comments, CIPL recommends that the OPC: Maintain its principle of technological neutrality, and regulate based on the impact of technology uses rather than on whether or not a use of data falls within a specific definition of AI; Focus on a risk-based approach rather than a strictly rights-based approach in revising PIPEDA. This would focus attention on uses of data that pose the greatest risks for individuals and society, and provide flexibility to consider privacy within a broader scope of rights and interests; Deploy a risk-based approach to determine the parameters and conditions for when a right to object is appropriate, if such a right is ultimately incorporated into PIPEDA; Design transparency with the aim of providing individuals access to information such as the types of data that go into AI and automated decision-making models, information on how to correct false or outdated information, and how to remedy erroneous decisions. Transparency, in the AI context, should not require the disclosure of algorithms to individuals; Incorporate Privacy by Design and Human Rights by Design as legal requirements, such that organizations will be required to develop processes that promote thoughtful innovation throughout the product or application lifecycle. Such requirements should, however, be in line with general principles of accountability rather than rigid processes, as this will allow organizations to find innovative ways to foster and implement responsible AI; Adopt a risk-based approach to purpose specification and data minimization principles and consider the context in which data is collected and processed to enable realistic and effective compliance with these principles without compromising the benefits of AI; Include alternative grounds for processing, including legitimate interest, and solutions to protect privacy when obtaining meaningful consent is not practicable; Create a broad exception for de-identified information from all relevant statutory requirements as de-identification can facilitate responsible use of personal information to help train and deploy new and beneficial technologies while also upholding individual privacy; and, Mandate accountability as a governance model for enabling trust in AI development and use. To read more about these recommendations, see the full set of comments. 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CIPL Responds to Privacy Commissioner of Canada’s Proposals for Ensuring Appropriate Regulation of AI
CIPL Responds Privacy Commissioner Canadas Proposals Ensuring Appropriate Regulation AI Privacy Information Security Law Blog Skip content HomeAboutPublications Privacy Information Security Law Blog Global Privacy Cybersecurity Law Updates Analysis Home CIPL Responds Privacy Commissioner Canadas Proposals Ensuring Appropriate Regulation AI CIPL Responds Privacy Commissioner Canadas Proposals Ensuring Appropriate Regulation AI Posted March 26, 2020 Posted Centre Information Policy Leadership, International On March 12, 2020, Centre Information Policy Leadership CIPL Hunton Andrews Kurth LLP submitted formal comments Office Privacy Commissioner Canada OPC response proposals ensuring appropriate regulation artificial intelligence AI. The OPC currently engaged policy analysis relating legislative reform Personal Information Protection Electronic Documents Act PIPEDA. Part analysis involves examining PIPEDAs application AI systems OPC forward 11 different proposals believes PIPEDA enhanced. CIPL agrees issues raised OPC consultation significant believes overcoming challenges require creativity, flexibility, agility, cooperation, continued vigilance organizations regulators. Applying existing accountability tools AI applications forms key solution. In comments, CIPL recommends OPC: Maintain principle technological neutrality, regulate based impact technology uses use data falls specific definition AI; Focus riskbased approach strictly rightsbased approach revising PIPEDA. This focus attention uses data pose greatest risks individuals society, provide flexibility consider privacy broader scope rights interests; Deploy riskbased approach determine parameters conditions right object appropriate, right ultimately incorporated PIPEDA; Design transparency aim providing individuals access information types data AI automated decisionmaking models, information correct false outdated information, remedy erroneous decisions. Transparency, AI context, require disclosure algorithms individuals; orporate Privacy Design Human Rights Design legal requirements, organizations required develop processes promote thoughtful innovation product application lifecycle. Such requirements should, however, line general principles accountability rigid processes, allow organizations innovative ways foster implement responsible AI; Adopt riskbased approach purpose specification data minimization principles consider context data collected processed enable realistic effective compliance principles compromising benefits AI; lude alternative grounds processing, including legitimate interest, solutions protect privacy obtaining meaningful consent practicable; Create broad exception deidentified information relevant statutory requirements deidentification facilitate responsible use personal information help train deploy new beneficial technologies upholding individual privacy; and, Mandate accountability governance model enabling trust AI development use. To read recommendations, set comments. 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POSITIVE
759
https://www.newstimes.com/news/article/It-takes-a-lot-of-energy-for-machines-to-learn-15800924.php
2020-12-14T00:00:00
en
It takes a lot of energy for machines to learn - here's why AI is so power-hungry
It takes a lot of energy for machines to learn - here's why AI is so power-hungry Skip to main content Currently Reading It takes a lot of energy for machines to learn - here's why AI is so power-hungry Subscribe Subscribe e-edition Sign In HomeSubscribeManage SubscriptionAdvertise with UsCareers with UsContact News-TimesNewslettersDigital editionArchivesFAQPrivacy NoticeTerms of UseNewsLocalPolice ReportsRegionalNationalEducationWorldPoliticsScience and TechnologyWere you SEEN?ElectionSportsBaseballHigh School ScoreboardFootballBasketballHockeyOtherHigh SchoolCollegeLittle LeagueBusinessTop WorkplacesMarketsReal EstateEntertainmentMoviesMusicArtsTelevisionComicsPuzzles and GamesEventsLivingHealthHome and GardenFamilyReligionSeniorsTravelFoodWeddingsEngagementsObituariesOpinionClassifiedsJobsCarsOpen for BusinessToday's PaperInsider Recommended Bethel schools report first COVID case since November ‘Their greatness was stolen from us’: CT gun violence victims... COVID vaccine could arrive in Danbury by Monday at earliest Blotter: Drugs, burglary, public indecency charges in Danbury From 1,000 miles away, music director conducts Danbury... Sandy Hook anniversary: ‘There’s no going back to normal’ Firefighters: 10 taken to hospital after 7-vehicle accident Sherman school board approves final playground design COVID-19 vaccines are headed to CT. Here’s what you need to know. Mayor Mark Boughton is leaving Danbury. What happens next? NewsIt takes a lot of energy for machines to learn - here's why AI is so power-hungryKate Saenko, Boston UniversityDec. 14, 2020Updated: Dec. 14, 2020 3:05 p.m. Facebook Twitter Email Comments (The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Kate Saenko, Boston University (THE CONVERSATION) This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products. Among the risks is the large carbon footprint of developing this kind of AI technology. By some estimates, training an AI model generates as much carbon emissions as it takes to build and drive five cars over their lifetimes. I am a researcher who studies and develops AI models, and I am all too familiar with the skyrocketing energy and financial costs of AI research. Why have AI models become so power hungry, and how are they different from traditional data center computation? Today’s training is inefficient Traditional data processing jobs done in data centers include video streaming, email and social media. AI is more computationally intensive because it needs to read through lots of data until it learns to understand it – that is, is trained. This training is very inefficient compared to how people learn. Modern AI uses artificial neural networks, which are mathematical computations that mimic neurons in the human brain. The strength of connection of each neuron to its neighbor is a parameter of the network called weight. To learn how to understand language, the network starts with random weights and adjusts them until the output agrees with the correct answer. A common way of training a language network is by feeding it lots of text from websites like Wikipedia and news outlets with some of the words masked out, and asking it to guess the masked-out words. An example is “my dog is cute,” with the word “cute” masked out. Initially, the model gets them all wrong, but, after many rounds of adjustment, the connection weights start to change and pick up patterns in the data. The network eventually becomes accurate. One recent model called Bidirectional Encoder Representations from Transformers (BERT) used 3.3 billion words from English books and Wikipedia articles. Moreover, during training BERT read this data set not once, but 40 times. To compare, an average child learning to talk might hear 45 million words by age five, 3,000 times fewer than BERT. Looking for the right structure What makes language models even more costly to build is that this training process happens many times during the course of development. This is because researchers want to find the best structure for the network – how many neurons, how many connections between neurons, how fast the parameters should be changing during learning and so on. The more combinations they try, the better the chance that the network achieves a high accuracy. Human brains, in contrast, do not need to find an optimal structure – they come with a prebuilt structure that has been honed by evolution. As companies and academics compete in the AI space, the pressure is on to improve on the state of the art. Even achieving a 1% improvement in accuracy on difficult tasks like machine translation is considered significant and leads to good publicity and better products. But to get that 1% improvement, one researcher might train the model thousands of times, each time with a different structure, until the best one is found. Researchers at the University of Massachusetts Amherst estimated the energy cost of developing AI language models by measuring the power consumption of common hardware used during training. They found that training BERT once has the carbon footprint of a passenger flying a round trip between New York and San Francisco. However, by searching using different structures – that is, by training the algorithm multiple times on the data with slightly different numbers of neurons, connections and other parameters – the cost became the equivalent of 315 passengers, or an entire 747 jet. Bigger and hotter AI models are also much bigger than they need to be, and growing larger every year. A more recent language model similar to BERT, called GPT-2, has 1.5 billion weights in its network. GPT-3, which created a stir this year because of its high accuracy, has 175 billion weights. Researchers discovered that having larger networks leads to better accuracy, even if only a tiny fraction of the network ends up being useful. Something similar happens in children’s brains when neuronal connections are first added and then reduced, but the biological brain is much more energy efficient than computers. Most Popular CT could see back-to-back snow storms this week Firefighters: 10 taken to hospital after 7-vehicle accident on Route 7 NWS: Light snow today, ‘near blizzard conditions’ later in week These 7 Democrats will represent CT in Electoral College vote CT health care workers among the first to get COVID-19 vaccine Police: Former state Sen. Ed Gomes seriously hurt in Bridgeport crash Blotter: Drugs, burglary, public indecency charges in Danbury AI models are trained on specialized hardware like graphics processor units, which draw more power than traditional CPUs. If you own a gaming laptop, it probably has one of these graphics processor units to create advanced graphics for, say, playing Minecraft RTX. You might also notice that they generate a lot more heat than regular laptops. All of this means that developing advanced AI models is adding up to a large carbon footprint. Unless we switch to 100% renewable energy sources, AI progress may stand at odds with the goals of cutting greenhouse emissions and slowing down climate change. The financial cost of development is also becoming so high that only a few select labs can afford to do it, and they will be the ones to set the agenda for what kinds of AI models get developed. [The Conversation’s science, health and technology editors pick their favorite stories. Weekly on Wednesdays.] Doing more with less What does this mean for the future of AI research? Things may not be as bleak as they look. The cost of training might come down as more efficient training methods are invented. Similarly, while data center energy use was predicted to explode in recent years, this has not happened due to improvements in data center efficiency, more efficient hardware and cooling. There is also a trade-off between the cost of training the models and the cost of using them, so spending more energy at training time to come up with a smaller model might actually make using them cheaper. Because a model will be used many times in its lifetime, that can add up to large energy savings. In my lab’s research, we have been looking at ways to make AI models smaller by sharing weights, or using the same weights in multiple parts of the network. We call these shapeshifter networks because a small set of weights can be reconfigured into a larger network of any shape or structure. Other researchers have shown that weight-sharing has better performance in the same amount of training time. Looking forward, the AI community should invest more in developing energy-efficient training schemes. Otherwise, it risks having AI become dominated by a select few who can afford to set the agenda, including what kinds of models are developed, what kinds of data are used to train them and what the models are used for. This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/it-takes-a-lot-of-energy-for-machines-to-learn-heres-why-ai-is-so-power-hungry-151825. Expert Opinion Dan Haar Columnist and Associate Editor Haar: A stunning clean energy reversal in the works FuelCell Energy won, or appeared to win, bids for the right to sell power from four locations to Eversource and United Illuminating. Jacqueline Smith Editorial Page Editor Jacqueline Smith: How outlier characters made their lives... Best-selling Connecticut author Tony Abbott brought his characters to life in a novel written in verse. Colin McEnroe Columnist Colin McEnroe’s script for ‘A Christmas Carol, 2020’ Columnist Colin McEnroe has started to wonder if he's been fair to Donald Trump. Hugh Bailey Editorial Page Editor Bailey: Winning the most votes ought to be enough Connecticut could award its electoral votes to someone who loses the state. That would be a good thing. Most Popular CT could see back-to-back snow storms this week Firefighters: 10 taken to hospital after 7-vehicle accident on Route 7 NWS: Light snow today, ‘near blizzard conditions’ later in week These 7 Democrats will represent CT in Electoral College vote CT health care workers among the first to get COVID-19 vaccine Police: Former state Sen. Ed Gomes seriously hurt in Bridgeport crash Blotter: Drugs, burglary, public indecency charges in Danbury Written ByKate SaenkoView Comments In-Depth Coverage Universities: Study on parent loan debt accurate but incomplete Getting There: Transit, health are not free. But who will pay? ‘Their greatness was stolen’: CT gun violence victims... Sandy Hook anniversary: ‘There’s no going back to normal’ Return to Top About Newspaper Delivery Safety Procedures Privacy Notice / Notice at Collection Your California Privacy Rights Interest Based Ads Terms of Use Careers Advertising Archives Contact Contact Us FAQ Today's e-Edition Submissions Connect Subscribe Today Newsletter Sign Up Facebook Twitter ©2020 Hearst
It takes a lot of energy for machines to learn
It takes lot energy machines learn heres AI powerhungry Skip main content Currently Reading It takes lot energy machines learn heres AI powerhungry eedition HomeManage SubscriptionAdvertise UsCareers Us NewsTimesNewslettersDigital editionArchivesFAQPrivacy NoticeTerms UseNewsLocalPolice ReportsRegionalNationalEducationWorldPoliticsScience TechnologyWere SEEN?ElectionSportsBaseballHigh School ScoreboardFootballBasketballHockeyOtherHigh SchoolCollegeLittle LeagueBusinessTop WorkplacesMarketsReal EstateEntertainmentMoviesMusicArtsTelevisionComicsPuzzles GamesEventsLivingHealthHome GardenFamilyReligionSeniorsTravelFoodWeddingsEngagementsObituariesOpinionClassifiedsJobsCarsOpen BusinessTodays PaperInsider Recommended Bethel schools report COVID case November Their greatness stolen us: CT gun violence victims... COVID vaccine arrive Danbury Monday earliest Blotter: Drugs, burglary, public indecency charges Danbury From 1,000 miles away, music director conducts Danbury... Sandy Hook anniversary: Theres going normal Firefighters: 10 taken hospital 7vehicle accident Sherman school board approves final playground design COVID19 vaccines headed CT. Heres need know. Mayor Mark Boughton leaving Danbury. What happens next? NewsIt takes lot energy machines learn heres AI powerhungryKate Saenko,Boston UniversityDec. 14, 2020Updated: Dec. 14, 2020 3:05p.m. Facebook Twitter Email Comments The Conversation independent nonprofit source news, analysis commentary academic experts. Kate Saenko, Boston University THE CONVERSATION This month, Google forced prominent AI ethics researcher voiced frustration company making withdraw research paper. The paper pointed risks languageprocessing artificial intelligence, type Google text analysis products. Among risks large carbon footprint developing kind AI technology. By estimates, training AI model generates carbon emissions takes build drive cars lifetimes. I researcher studies develops AI models, I familiar skyrocketing energy financial costs AI research. Why AI models power hungry, different traditional data center computation? Todays training inefficient Traditional data processing jobs data centers include video streaming, email social media. AI computationally intensive needs read lots data learns understand is, trained. This training inefficient compared people learn. Modern AI uses artificial neural networks, mathematical computations mimic neurons human brain. The strength connection neuron neighbor parameter network called weight. To learn understand language, network starts random weights adjusts output agrees correct answer. A common way training language network feeding lots text websites like Wikipedia news outlets words masked out, asking guess maskedout words. An example dog cute, word cute masked out. Initially, model gets wrong, but, rounds adjustment, connection weights start change pick patterns data. The network eventually accurate. One recent model called Bidirectional Encoder Representations Transformers BERT 3.3 billion words English books Wikipedia articles. Moreover, training BERT read data set once, 40 times. To compare, average child learning talk hear 45 million words age five, 3,000 times fewer BERT. Looking right structure What makes language models costly build training process happens times course development. This researchers want best structure network neurons, connections neurons, fast parameters changing learning on. The combinations try, better chance network achieves high accuracy. Human brains, contrast, need optimal structure come prebuilt structure honed evolution. As companies academics compete AI space, pressure improve state art. Even achieving 1 improvement accuracy difficult tasks like machine translation considered significant leads good publicity better products. But 1 improvement, researcher train model thousands times, time different structure, best found. Researchers University Massachusetts Amherst estimated energy cost developing AI language models measuring power consumption common hardware training. They training BERT carbon footprint passenger flying round trip New York San Francisco. However, searching different structures is, training algorithm multiple times data slightly different numbers neurons, connections parameters cost equivalent 315 passengers, entire 747 jet. Bigger hotter AI models bigger need be, growing larger year. A recent language model similar BERT, called GPT2, 1.5 billion weights network. GPT3, created stir year high accuracy, 175 billion weights. Researchers discovered larger networks leads better accuracy, tiny fraction network ends useful. Something similar happens childrens brains neuronal connections added reduced, biological brain energy efficient computers. Most Popular CT backtoback snow storms week Firefighters: 10 taken hospital 7vehicle accident Route 7 NWS: Light snow today, near blizzard conditions later week These 7 Democrats represent CT Electoral College vote CT health care workers COVID19 vaccine Police: Former state Sen. Ed Gomes seriously hurt Bridgeport crash Blotter: Drugs, burglary, public indecency charges Danbury AI models trained specialized hardware like graphics processor units, draw power traditional CPUs. If gaming laptop, probably graphics processor units create advanced graphics for, say, playing Minecraft RTX. You notice generate lot heat regular laptops. All means developing advanced AI models adding large carbon footprint. Unless switch 100 renewable energy sources, AI progress stand odds goals cutting greenhouse emissions slowing climate change. The financial cost development high select labs afford it, ones set agenda kinds AI models developed. [The Conversations science, health technology editors pick favorite stories. Weekly Wednesdays.] Doing What mean future AI research? Things bleak look. The cost training come efficient training methods invented. Similarly, data center energy use predicted explode recent years, happened improvements data center efficiency, efficient hardware cooling. There tradeoff cost training models cost them, spending energy training time come smaller model actually cheaper. Because model times lifetime, add large energy savings. In labs research, looking ways AI models smaller sharing weights, weights multiple parts network. We shapeshifter networks small set weights reconfigured larger network shape structure. Other researchers shown weightsharing better performance training time. Looking forward, AI community invest developing energyefficient training schemes. Otherwise, risks AI dominated select afford set agenda, including kinds models developed, kinds data train models for. This article republished The Conversation Creative Commons license. Read original article here: Expert Opinion Dan Haar Columnist Associate Editor Haar: A stunning clean energy reversal works FuelCell Energy won, appeared win, bids right sell power locations Eversource United Illuminating. Jacqueline Smith Editorial Page Editor Jacqueline Smith: How outlier characters lives... Bestselling Connecticut author Tony Abbott brought characters life novel written verse. Colin McEnroe Columnist Colin McEnroes script A Christmas Carol, 2020 Columnist Colin McEnroe started wonder hes fair Donald Trump. Hugh Bailey Editorial Page Editor Bailey: Winning votes ought Connecticut award electoral votes loses state. That good thing. Most Popular CT backtoback snow storms week Firefighters: 10 taken hospital 7vehicle accident Route 7 NWS: Light snow today, near blizzard conditions later week These 7 Democrats represent CT Electoral College vote CT health care workers COVID19 vaccine Police: Former state Sen. Ed Gomes seriously hurt Bridgeport crash Blotter: Drugs, burglary, public indecency charges Danbury Written ByKate SaenkoView Comments InDepth Coverage Universities: Study parent loan debt accurate incomplete Getting There: Transit, health free. But pay? Their greatness stolen: CT gun violence victims... Sandy Hook anniversary: Theres going normal Return Top About Newspaper Delivery Safety Procedures Privacy Notice Notice Collection Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Archives Us FAQ Todays eEdition Submissions Connect Today Newsletter Sign Up Facebook Twitter 2020 Hearst
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https://thenextweb.com/growth-quarters/2020/03/16/openai-ceo-offers-funding-for-startups-tackling-coronavirus/
2020-03-16T00:00:00
en
OpenAI CEO offers funding for startups tackling coronavirus
OpenAI CEO offers funding for startups tackling coronavirus TNW News Latest Hard Fork Plugged Fundamentals Read Me Growth Quarters Neural More TNW News TNW2020 Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs Contact logo News TNW2020 Business ▾ Index TNW X AMAs Spaces About Advertise Jobs Contact Latest Hard Fork Plugged Fundamentals ReadMe Growth Quarters Neural Have a cookie TNW uses cookies to personalize content and ads to make our site easier for you to use. We do also share that information with third parties for advertising & analytics. Got it! or More info Did you know we have a TECH FESTIVAL? Check it out → logo Powered by Insightful takes on scaling your business Coronavirus Startup company Silicon Valley OpenAI Government OpenAI CEO offers funding for startups tackling coronavirus Coronavirus is fast becoming a new boom area for Silicon Valley Pictures of Money 69 Shares Story by Thomas Macaulay Thomas is a reporter focused on AI in all its iterations. He's particularly interested in the spaces where technology converges with politics, culture and human identity. Thomas is a reporter focused on AI in all its iterations. He's particularly interested in the spaces where technology converges with politics, culture and human identity. As stock markets continue to tank globally, startup founders raising money are starting to worry. A notable exception is those with services related to coronavirus, who are enjoying a surge in demand and new investment opportunities. Sam Altman, the CEO of artificial intelligence research lab OpenAI, created another financial stream yesterday by offering to fund COVID-19 projects. In a blogpost announcing his plan, Altman said that as there will soon be enough testing capacity, he is seeking startups that could quickly produce a lot of ventilators, masks or gowns, screening existing drugs for effectiveness, novel approaches to vaccines, and new therapeutics that big pharma companies are unlikely to develop. Altman isn’t pledging to provide all the funding himself; instead, he has asked startups to fill out a public spreadsheet that any potential investor can read. [Read: AI sent first coronavirus alert, but underestimated the danger] Within a day of its creation, that spreadsheet had already attracted submissions from around 50 existing companies and a dozen ideas, from at-home detection tests to ozone generators that can quickly fumigate aircraft. Altman, who last year stepped down as president of Silicon Valley‘s iconic accelerator Y Combinator to concentrate on OpenAI, has already started splashing his own cash on startups tackling coronavirus. This week, he invested in Helix Nanotechnologies, Massachusetts-based company that has spent the last two years developing a new cancer vaccine, but will now pivot to focusing on the new mutations of coronavirus that could emerge next year. Silicon Valley’s work with the White House The White House has pleaded for Silicon Valley to develop tech that can tackle coronavirus, but the US government’s slow and ineffective response to the pandemic has been widely criticized by the tech sector. “Silicon Valley has wanted the government to take this seriously for a while,” Altman told The Wall Street Journal. “I still think an aggressive containment strategy would be great. But given that that didn’t happen fast enough we need to think about Plan B.” Altman’s own suggestions are a month-long shutdown funded by a $1,000 lump sum for the government to everyone to cover their expenses, and a deferral on rent and mortgage payment. In addition, he has called for widespread testing and encouragement of altruism. He also has a vaguely optimistic prediction for the pandemic: “The first week of June will be surprisingly normal.” Probably best not to get our hopes up, however. By June, we may merely have entered a new normal in the age of coronavirus. Published March 16, 2020 — 12:11 UTC Thomas Macaulay March 16, 2020 — 12:11 UTC Read more Looking for your next opportunity in tech? Join Lloyd's and help transform the global insurance market. APPLY HERE Most popular 4 lessons I learned after spending $6 million on Google Ads last year The Heart of Tech™ More TNW News Events Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs Contact Stay tuned Thank you! Weekly Daily Breaking OK Copyright © 2006—2020. All rights reserved. Made with ♥ in Amsterdam.
OpenAI CEO offers funding for startups tackling coronavirus
OpenAI CEO offers funding startups tackling coronavirus TNW News Latest Hard Fork Plugged Fundamentals Read Me Growth Quarters Neural More TNW News TNW2020 Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs logo News TNW2020 Business Index TNW X AMAs Spaces About Advertise Jobs Latest Hard Fork Plugged Fundamentals ReadMe Growth Quarters Neural Have cookie TNW uses cookies personalize content ads site easier use. We share information parties advertising analytics. Got More info Did know TECH FESTIVAL? Check logo Powered Insightful takes scaling business Coronavirus Startup company Silicon Valley OpenAI Government OpenAI CEO offers funding startups tackling coronavirus Coronavirus fast new boom area Silicon Valley Pictures Money 69 Shares Story Thomas Macaulay Thomas reporter focused AI iterations. Hes particularly interested spaces technology converges politics, culture human identity. Thomas reporter focused AI iterations. Hes particularly interested spaces technology converges politics, culture human identity. As stock markets continue tank globally, startup founders raising money starting worry. A notable exception services related coronavirus, enjoying surge demand new investment opportunities. Sam Altman, CEO artificial intelligence research lab OpenAI, created financial stream yesterday offering fund COVID19 projects. In blogpost announcing plan, Altman said soon testing capacity, seeking startups quickly produce lot ventilators, masks gowns, screening existing drugs effectiveness, novel approaches vaccines, new therapeutics big pharma companies unlikely develop. Altman isnt pledging provide funding himself; instead, asked startups public spreadsheet potential investor read. [Read: AI sent coronavirus alert, underestimated danger] Within day creation, spreadsheet attracted submissions 50 existing companies dozen ideas, athome detection tests ozone generators quickly fumigate aircraft. Altman, year stepped president ofSilicon Valleys iconic accelerator Y Combinator concentrate OpenAI, started splashing cash startups tackling coronavirus. This week, invested Helix Nanotechnologies, Massachusettsbased company spent years developing new cancer vaccine, pivot focusing new mutations coronavirus emerge year. Silicon Valleys work White House The White House pleaded Silicon Valley develop tech tackle coronavirus, US governments slow ineffective response pandemic widely criticized tech sector. Silicon Valley wanted government seriously while, Altman told The Wall Street Journal. I think aggressive containment strategy great. But given didnt happen fast need think Plan B. Altmans suggestions monthlong shutdown funded 1,000 lump sum government cover expenses, deferral rent mortgage payment. In addition, called widespread testing encouragement altruism. He vaguely optimistic prediction pandemic: The week June surprisingly normal. Probably best hopes up, however. By June, merely entered new normal age coronavirus. Published March 16, 2020 12:11 UTC Thomas Macaulay March 16, 2020 12:11 UTC Read Looking opportunity tech? Join Lloyds help transform global insurance market. APPLY HERE Most popular 4 lessons I learned spending 6 million Google Ads year The Heart Tech More TNW News Events Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs Stay tuned Thank Weekly Daily Breaking OK 20062020. . Made Amsterdam.
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https://aindustryreports.com/2020/01/23/global-artificial-intelligence-and-cognitive-computing-sales-market-report-2018/
2020-01-23T00:00:00
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Global Artificial Intelligence and Cognitive Computing Sales Market Report 2018 – Market Industry Reports
Global Artificial Intelligence and Cognitive Computing Sales Market Report 2018 – Market Industry Reports Skip to content Menu Chemicals Health Heavy Industries Medical Technology Contact Market Industry Reports Global Artificial Intelligence and Cognitive Computing Sales Market Report 2018 Tom Sam - January 23, 2020 - Heavy Industries In this report, the Global Artificial Intelligence and Cognitive Computing Sales market is valued at USD XX million in 2017 and is expected to reach USD XX million by the end of 2025, growing at a CAGR of XX% between 2017 and 2025. Global Artificial Intelligence and Cognitive Computing Sales market has been broken down by major regions, with complete market estimates on the basis of products/applications on a regional basis. Browse full research report at https://www.crystalmarketreport.com/global-artificial-intelligence-and-cognitive-computing-sales-market-report-2018 In this report, the global Artificial Intelligence and Cognitive Computing market is valued at USD XX million in 2017 and is expected to reach USD XX million by the end of 2025, growing at a CAGR of XX% between 2017 and 2025. Geographically, this report split global into several key Regions, with sales (K Units), revenue (Million USD), market share and growth rate of Artificial Intelligence and Cognitive Computing for these regions, from 2013 to 2025 (forecast), covering United States China Europe Japan Southeast Asia India Global Artificial Intelligence and Cognitive Computing market competition by top manufacturers/players, with Artificial Intelligence and Cognitive Computing sales volume, Price (USD/Unit), revenue (Million USD) and market share for each manufacturer/player; the top players including Apple Inc. Facebook Google IBM Microsoft … On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into Natural Language Processing Machine Learning Deep Learning Automated Reasoning Information Retrieval On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate for each application, including Healthcare Retail & Consumer Goods BFSI Security IT & Telecom Others If you have any special requirements, please let us know and we will offer you the report as you want.   Browse full research report at https://www.crystalmarketreport.com/global-artificial-intelligence-and-cognitive-computing-sales-market-report-2018 Reasons to Buy This Research Report Complete access to Global Artificial Intelligence and Cognitive Computing Sales market size, growth rate and forecast to 2025 In-depth quantitative information on key regional Global Artificial Intelligence and Cognitive Computing Sales markets including North America, Europe, MEA and Asia Pacific Global Artificial Intelligence and Cognitive Computing Sales Market estimates and forecasts for key products/applications on a regional basis Facility to obtain country level information for complete Global Artificial Intelligence and Cognitive Computing Sales market segmentation Key trends, drivers and restraints for global Global Artificial Intelligence and Cognitive Computing Sales market Challenges to market growth for Global Artificial Intelligence and Cognitive Computing Sales manufacturers Key market opportunities of Global Artificial Intelligence and Cognitive Computing Sales Industry About Crystal Market Reports Crystal Market Reports is a distributor of market research spanning 160 industries. Our extensive database consists of over 400,000 quality publications sourced from 400 plus publishers, this puts our research specialists in the unique position of been able to offer truly unbiased advice on what research provides the most valuable insights. Contact Info.:- Address: 90 State Street Suite 700 Albany New York 12207 Email: [email protected] Web: https://www.crystalmarketreport.com Post navigation Previous PostPrevious Global Automotive Artificial Intelligence (AI) Market Professional Survey Report 2018Next PostNext Global Angioplasty Balloons Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2025 Copyright © 2020 Market Industry Reports - Powered by FilaThemes
Global Artificial Intelligence and Cognitive Computing Sales Market Report 2018
Global Artificial Intelligence Cognitive Computing Sales Market Report 2018 Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports Global Artificial Intelligence Cognitive Computing Sales Market Report 2018 Tom Sam January 23, 2020 Heavy Industries In report, Global Artificial Intelligence Cognitive Computing Sales market valued USD XX million 2017 expected reach USD XX million end 2025, growing CAGR XX 2017 2025. Global Artificial Intelligence Cognitive Computing Sales market broken major regions, complete market estimates basis productsapplications regional basis. Browse research report In report, global Artificial Intelligence Cognitive Computing market valued USD XX million 2017 expected reach USD XX million end 2025, growing CAGR XX 2017 2025. Geographically, report split global key Regions, sales K Units, revenue Million USD, market share growth rate Artificial Intelligence Cognitive Computing regions, 2013 2025 forecast, covering United States China Europe Japan Southeast Asia India Global Artificial Intelligence Cognitive Computing market competition manufacturersplayers, Artificial Intelligence Cognitive Computing sales volume, Price USDUnit, revenue Million USD market share manufacturerplayer; players including Apple . Facebook Google IBM Microsoft On basis product, report displays production, revenue, price, market share growth rate type, primarily split Natural Language Processing Machine Learning Deep Learning Automated Reasoning Information Retrieval On basis end usersapplications, report focuses status outlook major applicationsend users, sales volume, market share growth rate application, including Healthcare Retail Consumer Goods BFSI Security IT Telecom Others If special requirements, let know offer report want. Browse research report Reasons Buy This Research Report Complete access Global Artificial Intelligence Cognitive Computing Sales market size, growth rate forecast 2025 Indepth quantitative information key regional Global Artificial Intelligence Cognitive Computing Sales markets including North America, Europe, MEA Asia Pacific Global Artificial Intelligence Cognitive Computing Sales Market estimates forecasts key productsapplications regional basis Facility obtain country level information complete Global Artificial Intelligence Cognitive Computing Sales market segmentation Key trends, drivers restraints global Global Artificial Intelligence Cognitive Computing Sales market Challenges market growth Global Artificial Intelligence Cognitive Computing Sales manufacturers Key market opportunities Global Artificial Intelligence Cognitive Computing Sales Industry About Crystal Market Reports Crystal Market Reports distributor market research spanning 160 industries. Our extensive database consists 400,000 quality publications sourced 400 plus publishers, puts research specialists unique position able offer truly unbiased advice research provides valuable insights. Info.: Address: 90 State Street Suite 700 Albany New York 12207 Email: [emailprotected] Web: Post navigation Previous PostPrevious Global Automotive Artificial Intelligence AI Market Professional Survey Report 2018Next PostNext Global Angioplasty Balloons Market 2018 Manufacturers, Countries, Type Application, Forecast 2025 2020 Market Industry Reports Powered FilaThemes
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http://www.globalanalyticsmarket.com/2020/11/02/whats-driving-the-artificial-intelligence-in-healthcare-market-growth-see-with-prominent-players-and-high-cagr-rate/
2020-11-03T00:00:00
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What’s driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate – Global Analytics Market
What’s driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate – Global Analytics Market Search for: Home Business Chemicals Energy Healthcare Sci-Tech Entertainment Search for:  Posted in Business, Industry, IT and Telecom, News, Press Release, Sci-Tech, Service What’s driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate  Marvella Lit  November 2, 2020 According to a report published by Healthcare Intelligence Markets, titled “Artificial intelligence in healthcare Size, Share & Industry Analysis, By Component (Hardware, Software, Content), By Application (Product Design and Development, Safety and Training, Maintenance and Repair, and Communication & Collaboration), and Regional Forecast, 2019-2026,” Virtual reality is one such concept that has helped overcome several downfalls that were initially present in the manufacturing industry. The use of Artificial intelligence in healthcare performing repetitive tasks that initially required continuous manual labour has stood out among all. Request a Sample Copy@ https://www.healthcareintelligencemarkets.com/request_sample.php?id=140757 Key Market Players are: IBM, NEC, Nuance, Microsoft Corp. , Ipsoft , Rocket Fuel Inc. The worldwide geological [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe] analysis of the Artificial intelligence in healthcare Market plan has furthermore been done cautiously in this report. The dynamic establishment of the overall Artificial intelligence in healthcare Market depends on the assessment of item circulated in various markets, limitations, general benefits made by every association, and future aspirations. The major application areas of Artificial intelligence in healthcare Market are also covered on the basis of their implementation. The report gives the ideology about different factors and inclinations affecting the development course of the worldwide Artificial intelligence in healthcare Market. A review of the impact of the administrative regulations and policies on the Artificial intelligence in healthcare Market operations is also included in this report. The Artificial intelligence in healthcare Market report offers a complete analysis of competitive dynamics that are modifying and places the patrons ahead of competitors. Ask for Discount on this Premium Report@ https://www.healthcareintelligencemarkets.com/ask_for_discount.php?id=140757 Reason to Buy Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial intelligence in healthcare Market Highlights key business priorities in order to assist companies to realign their business strategies. The key findings and recommendations highlight crucial progressive industry trends in the Artificial intelligence in healthcare Market, thereby allowing players to develop effective long term strategies. Develop/modify business expansion plans by using substantial growth offering developed and emerging markets. Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.   Enquire Before Buying@ https://www.healthcareintelligencemarkets.com/enquiry_before_buying.php?id=140757 Healthcare Intelligence Market: HealthCare Intelligence Markets Reports provides market intelligence and consulting services to global customers in 145 countries. Being a B2B company, we help businesses respond boldly to evolving market challenges. Create customized syndicated market research reports to help market players build strategies to change games. In addition, reports on the pharmaceutical development, clinical and healthcare IT industries provide future trends and future market prospects. Contact Us: Marbella Litt Phone number: + 44-753-712-1342 Address: 90 State Office Center 90 State Street Suite 700, Albany, NY 12207 [email protected], www.healthcareintelligencemarkets.com             Post navigation ← What’s driving the Cleanroom Technology Market Growth? See with Prominent Players and High CAGR rateWhat’s driving the Dry Eye Syndrome Treatment Market Growth? 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What’s driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate
Whats driving Artificial intelligence healthcare Market Growth? See Prominent Players High CAGR rate Global Analytics Market for: Home Business Chemicals Energy Healthcare SciTech Entertainment for: Posted Business, Industry, IT Telecom, News, Press Release, SciTech, Service Whats driving Artificial intelligence healthcare Market Growth? See Prominent Players High CAGR rate Marvella Lit November 2, 2020 According report published Healthcare Intelligence Markets, titled Artificial intelligence healthcare Size, Share Industry Analysis, By Component Hardware, Software, Content, By Application Product Design Development, Safety Training, Maintenance Repair, Communication Collaboration, Regional Forecast, 20192026, Virtual reality concept helped overcome downfalls initially present manufacturing industry. The use Artificial intelligence healthcare performing repetitive tasks initially required continuous manual labour stood all. Request Sample Copy@ Key Market Players are: IBM, NEC, Nuance, Microsoft Corp. , Ipsoft , Rocket Fuel . The worldwide geological [Latin America, North America, Asia Pacific, Middle East Africa, Europe] analysis Artificial intelligence healthcare Market plan furthermore cautiously report. The dynamic establishment overall Artificial intelligence healthcare Market depends assessment item circulated markets, limitations, general benefits association, future aspirations. The major application areas Artificial intelligence healthcare Market covered basis implementation. The report gives ideology different factors inclinations affecting development course worldwide Artificial intelligence healthcare Market. A review impact administrative regulations policies Artificial intelligence healthcare Market operations included report. The Artificial intelligence healthcare Market report offers complete analysis competitive dynamics modifying places patrons ahead competitors. Ask Discount Premium Report@ Reason Buy Save reduce time carrying entrylevel research identifying growth, size, leading players segments global Artificial intelligence healthcare Market Highlights key business priorities order assist companies realign business strategies. The key findings recommendations highlight crucial progressive industry trends Artificial intelligence healthcare Market, allowing players develop effective long term strategies. Developmodify business expansion plans substantial growth offering developed emerging markets. Scrutinize indepth global market trends outlook coupled factors driving market, hindering Enhance decisionmaking process understanding strategies underpin commercial respect products, segmentation industry verticals. Enquire Before Buying@ Healthcare Intelligence Market: HealthCare Intelligence Markets Reports provides market intelligence consulting services global customers 145 countries.Being B2B company, help businesses respond boldly evolving market challenges.Create customized syndicated market research reports help market players build strategies change games.In addition, reports pharmaceutical development, clinical healthcare IT industries provide future trends future market prospects. Us: Marbella Litt Phone number: 447537121342 Address: 90 State Office Center 90 State Street Suite 700, Albany, NY 12207 sales Post navigation Whats driving Cleanroom Technology Market Growth? See Prominent Players High CAGR rateWhats driving Dry Eye Syndrome Treatment Market Growth? See Prominent Players High CAGR rate Recent Posts Artificial Intelligence Life Sciences Market Predicted Witness Sustainable Evolution Future IBM Corporation, AiCure, LLC, NuMedii, ., twoXAR, ., Atomwise Latest Updated Report Methyleneamino Acetamide Market 2020 COVID19 Impact, Share, Trend, Segmentation Forecast 2027 3B Scientific, Shanghai PI Chemicals, Xiang Ding Chemical, Shanghai FWD ChemicalsLatest Updated Report Methylene Green Market 2020 COVID19 Impact, Share, Trend, Segmentation Forecast 2027 Sigma, Santa Cruz Biotech, J K Scientific Ltd, TCIShanghai Development Co.,Ltd., Energy Chemical, Beijing Yunbang Biosciences Co.,LtdLatest Updated Report Methylene Diphenyl DiisocyanatesMDI Market 2020 COVID19 Impact, Share, Trend, Segmentation Forecast 2027 Afton, Chevron Oronite, Evonik, Infineum, Lubrizol, Amtecol Latest Updated Report Synthetic Fibre Rope Market 2020 COVID19 Impact, Share, Trend, Segmentation Forecast 2027 Wireco World Group, Samson Rope Technologies, Bridon International Ltd, Teufelberger Holding AG, Marlow Ropes Ltd., Yale Cordage Latest Updated Report Super Hydrophobic Nano Coating Market 2020 COVID19 Impact, Share, Trend, Segmentation Forecast 2027 Artekya, NEI Corporation, UltraTech International, ADMAT InnovationsPentane Market Booming COVID19 Impact Analysis, Top Companies Phillips 66, CNPC, LG Chemical, Statistics, Market Growth, Opportunities, Forecast To 2026Medical Automation Market Impact COVID19 Show Tremendous Growth By 2028 Siemens, Medtronic, Stryker, Accuray, DanaherImpact COVID19 New Era Agrochemicals Market growing Huge Demand 2020 Israel Chemicals Ltd., Yara International ASAAgriculture IoT Market Huge Demand Worldwide Eminent Key Players: Deere Company U.S., Trimble . 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"market", "growth", "opportunities", "forecast", "medical", "automation", "market", "impact", "covid", "tremendous", "growth", "siemens", "medtronic", "stryker", "accuray", "danaherimpact", "covid", "new", "era", "agrochemicals", "market", "growing", "huge", "demand", "israel", "chemicals", "yara", "international", "asaagriculture", "iot", "market", "huge", "demand", "worldwide", "eminent", "key", "players", "deere", "company", "trimble", "agco", "corporation", "raven", "industries", "delaval", "sweden", "gea", "group", "germany", "agjunction", "antelliq", "france", "home", "global", "analytics", "market", "design" ]
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https://technoweekly.com/uncategorized/535589/machine-learning-artificial-intelligence-market-2020-know-the-latest-covid19-impact-analysis-and-strategies-of-key-players-aibrain-amazon-anki-cloudminds-deepmind-etc-inforgrowth/
2020-10-27T00:00:00
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Machine Learning Artificial intelligence Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | InForGrowth – TechnoWeekly
Machine Learning Artificial intelligence Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | InForGrowth – TechnoWeekly Skip to content Menu Android coronavirus Energy News Science Space Technologies Contact Search for: Search TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies Contact Search for: Search Flash News Outpatient Surgery Market: Development Factors and Investment Analysis by Leading Manufacturers Polarographic Dissolved Oxygen Probes Market Assessment Analysis 2020-2025 Automotive Electric Actuators Market to Soar at steady CAGR up to 2025 Commercial Deep Fryer Market Set to Register healthy CAGR During 2020-2025 Automotive Adaptive Emergency Brake Lights Market Size, Share, Demand and Forecasts Report till 2024 Global Folding Furniture Market is anticipated to grow at a strong CAGR by 2025 Non-Power Nuclear Technology Market In-depth analysis, Competitive Insights, Overview and Scope till 2026|• Magnox • Mallinckrodt Pharmaceuticals • MDS Nordion • ANSTO Internet of Things (IoT) Market by Overview, Manufacturing Cost Structure Analysis, Growth Opportunities & Restraints to 2026 Software Consulting Market Growth Rate 2025 Global Messaging platform Market Highlights 2019 – 2025 | Openwave Messaging, Oracle, Microsoft and open-Xchange. The other key vendors are Atmail, IceWarp, Ipswitch, and Rockliffe Tuesday, October 27, 2020 Uncategorized Machine Learning Artificial intelligence Market 2020 | Know the Latest COVID19 Impact Analysis And Strategies of Key Players: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | InForGrowth basavraj.t October 27, 2020 Machine Learning Artificial intelligence Market research report provides various levels of analysis such as industry analysis (industry trends), market share analysis of top players, and company profiles, which together provide an overall view on the competitive landscape; emerging and high-growth segments of the Machine Learning Artificial intelligence market; high-growth regions; and market drivers, restraints, challenges, and opportunities. The Machine Learning Artificial intelligence market report elaborates insights on the Market Diversification (Exhaustive information about new products, untapped regions, and recent developments), Competitive Assessment (In-depth assessment of market shares, strategies, products, and manufacturing capabilities of leading players in the Machine Learning Artificial intelligence market). “Premium Insights on Machine Learning Artificial intelligence Market 2020 with Market Players Positioning” Request For Exclusive Sample PDF Copy:https://inforgrowth.com/sample-request/5655667/machine-learning-artificial-intelligence-market Market segmentation based on the Key Players, Types & Applications. Machine Learning Artificial intelligence Market on the basis of Product Type: 1. Deep Learning2. Natural Language Processing3. Machine Vision4. Others Machine Learning Artificial intelligence Market on the basis of Applications: 1. Automotive & Transportation2. Agriculture3. Manufacturing4. Others Top Key Players in Machine Learning Artificial intelligence market: 1. AIBrain2. Amazon3. Anki4. CloudMinds5. Deepmind6. Google7. Facebook8. IBM9. Iris AI10. Apple11. Luminoso12. Qualcomm Get Chance of 20% Extra Discount, If your Company is Listed in Above Key Players List;https://inforgrowth.com/discount/5655667/machine-learning-artificial-intelligence-market This report brings together multiple data sources to provide a comprehensive overview of Machine Learning Artificial intelligence. It includes analysis on the following – Market Environment: Includes sector size, market size, and growth analysis by segmentation. High-potential Countries’ Analysis: Indicates changing share of value consumption in the various segments & sub-segments across high-potential countries globally. The report also provides analysis of market assessment, economic development, socio-demographic, governance indicators, and technological infrastructure. Country Deep Dive: Provides the overview, demographic analysis, and key trends across high potential countries. Competitive Environment: Provides an overview of leading key players, besides analyzing the growth of private labels in the region. Distribution Analysis: Provides analysis of the leading distribution channels. Challenges and Future Outlook: Provides the challenges and future outlook pertaining to Machine Learning Artificial intelligence Make Inquiry for More Insights: https://inforgrowth.com/enquiry/5655667/machine-learning-artificial-intelligence-market Industrial Analysis of Machine Learning Artificial intelligence Market: Reasons to Buy Machine Learning Artificial intelligence market Report: Manufacturing and retailers seek the latest information on how the market is evolving to formulate their sales and marketing strategies. There is also a demand for authentic market data with a high level of detail. This Machine Learning Artificial intelligence market report has been created to provide its readers with up-to-date information and analysis to uncover emerging opportunities for growth within the sector in the region. The Machine Learning Artificial intelligence market report provides a detailed analysis of the countries in the region, covering the key challenges, competitive landscape, and demographic analysis, that can help companies gain insight into the country-specific nuances. The analysts have also placed a significant emphasis on the key trends that drive consumer choice and the future opportunities that can be explored in the region than can help companies in revenue expansion. To gain competitive intelligence about leading companies in the sector in the region with information about their market share and growth rates FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT:Address: 6400 Village Pkwy suite # 104, Dublin, CA 94568, USAContact Name: Rohan S.Email:[email protected]Phone: +1-909-329-2808UK: +44 (203) 743 1898 Machine Learning Artificial intelligenceMachine Learning Artificial intelligence IndustryMachine Learning Artificial intelligence Market Post navigation Global Freight Management System Market Overview With Detailed Analysis, Competitive Landscape, Emerging Trends , Future Prospects during 2020-2026Global Data Base Management Systems Market Projected to Reach USD XX.XX billion by 2025 : Microsoft, Software, IBM, Oracle, PostgreSQL, NCR etc. Search for: Recent Posts Outpatient Surgery Market: Development Factors and Investment Analysis by Leading Manufacturers Polarographic Dissolved Oxygen Probes Market Assessment Analysis 2020-2025 Automotive Electric Actuators Market to Soar at steady CAGR up to 2025 Commercial Deep Fryer Market Set to Register healthy CAGR During 2020-2025 Automotive Adaptive Emergency Brake Lights Market Size, Share, Demand and Forecasts Report till 2024 Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 Categories Android coronavirus Energy News Science Space Sports Technologies Uncategorized Meta Log in Entries feed Comments feed WordPress.org Proudly powered by WordPress | Theme: TimesNews | By ThemeSpiral.com. 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Machine Learning Artificial intelligence Market 2020
Machine Learning Artificial intelligence Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. InForGrowth TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Outpatient Surgery Market: Development Factors Investment Analysis Leading Manufacturers Polarographic Dissolved Oxygen Probes Market Assessment Analysis 20202025 Automotive Electric Actuators Market Soar steady CAGR 2025 Commercial Deep Fryer Market Set healthy CAGR During 20202025 Automotive Adaptive Emergency Brake Lights Market Size, Share, Demand Forecasts Report till 2024 Global Folding Furniture Market anticipated grow strong CAGR 2025 NonPower Nuclear Technology Market Indepth analysis, Competitive Insights, Overview Scope till 2026 Magnox Mallinckrodt Pharmaceuticals MDS Nordion ANSTO Internet Things IoT Market Overview, Manufacturing Cost Structure Analysis, Growth Opportunities Restraints 2026 Software Consulting Market Growth Rate 2025 Global Messaging platform Market Highlights 2019 2025 Openwave Messaging, Oracle, Microsoft openXchange. The key vendors Atmail, IceWarp, Ipswitch, Rockliffe Tuesday, October 27, 2020 Uncategorized Machine Learning Artificial intelligence Market 2020 Know Latest COVID19 Impact Analysis And Strategies Key Players: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. InForGrowth basavraj.t October 27, 2020 Machine Learning Artificial intelligenceMarket research report provides levels analysis industry analysis industry trends, market share analysis players, company profiles, provide overall view competitive landscape; emerging highgrowth segments Machine Learning Artificial intelligencemarket; highgrowth regions; market drivers, restraints, challenges, opportunities. The Machine Learning Artificial intelligencemarket report elaborates insights Market Diversification Exhaustive information new products, untapped regions, recent developments, Competitive Assessment Indepth assessment market shares, strategies, products, manufacturing capabilities leading players Machine Learning Artificial intelligencemarket. Premium Insights Machine Learning Artificial intelligence Market 2020 Market Players PositioningRequest For Exclusive Sample PDF Copy: Market segmentation based Key Players, Types Applications. Machine Learning Artificial intelligenceMarket basis Product Type:1. Deep Learning2. Natural Language Processing3. Machine Vision4. Others Machine Learning Artificial intelligenceMarket basis Applications:1. Automotive Transportation2. Agriculture3. Manufacturing4. Others Top Key Players Machine Learning Artificial intelligencemarket: 1. AIBrain2. Amazon3. Anki4. CloudMinds5. Deepmind6. Google7. Facebook8. IBM9. Iris AI10. Apple11. Luminoso12. Qualcomm Get Chance 20 Extra Discount, If Company Listed Above Key Players List; This report brings multiple data sources provide comprehensive overview Machine Learning Artificial intelligence. It includes analysis following Market Environment:ludes sector size, market size, growth analysis segmentation. Highpotential Countries Analysis:Indicates changing share value consumption segments subsegments highpotential countries globally. The report provides analysis market assessment, economic development, sociodemographic, governance indicators, technological infrastructure. Country Deep Dive:Provides overview, demographic analysis, key trends high potential countries. Competitive Environment: Provides overview leading key players, analyzing growth private labels region. Distribution Analysis:Provides analysis leading distribution channels. Challenges Future Outlook: Provides challenges future outlook pertaining Machine Learning Artificial intelligence Make Inquiry More Insights: Industrial Analysis Machine Learning Artificial intelligence Market: Reasons Buy Machine Learning Artificial intelligencemarket Report: Manufacturing retailers seek latest information market evolving formulate sales marketing strategies. There demand authentic market data high level detail. This Machine Learning Artificial intelligencemarket report created provide readers uptodate information analysis uncover emerging opportunities growth sector region. The Machine Learning Artificial intelligencemarket report provides detailed analysis countries region, covering key challenges, competitive landscape, demographic analysis, help companies gain insight countryspecific nuances. The analysts placed significant emphasis key trends drive consumer choice future opportunities explored region help companies revenue expansion. To gain competitive intelligence leading companies sector region information market share growth rates FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT:Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S.Email:[emailprotected]Phone: 19093292808UK: 44 203 743 1898 Machine Learning Artificial intelligenceMachine Learning Artificial intelligence IndustryMachine Learning Artificial intelligence Market Post navigation Global Freight Management System Market Overview With Detailed Analysis, Competitive Landscape, Emerging Trends , Future Prospects 20202026Global Data Base Management Systems Market Projected Reach USD XX.XX billion 2025 : Microsoft, Software, IBM, Oracle, PostgreSQL, NCR etc. for: Recent Posts Outpatient Surgery Market: Development Factors Investment Analysis Leading Manufacturers Polarographic Dissolved Oxygen Probes Market Assessment Analysis 20202025 Automotive Electric Actuators Market Soar steady CAGR 2025 Commercial Deep Fryer Market Set healthy CAGR During 20202025 Automotive Adaptive Emergency Brake Lights Market Size, Share, Demand Forecasts Report till 2024 Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 Categories Android coronavirus Energy News Science Space Sports Technologies Uncategorized Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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"space", "sports", "technologies", "uncategorized", "meta", "log", "entries", "feed", "comments", "feed", "proudly", "powered", "wordpress", "theme", "timesnews" ]
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https://fromthetrenchesworldreport.com/artificial-intelligence-algorithms-pros-cons/267527
2020-05-08T00:00:00
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Artificial intelligence & algorithms: pros & cons | From the Trenches World Report
Artificial intelligence & algorithms: pros & cons | From the Trenches World Report Skip to content From the Trenches World Report Enforce our Bill of Rights Search for Submit Primary Menu Home About Our Authority Contact Privacy Notice Archives Know Your Enemy Barack Hussein Obama aka Barry Soetoro: World Citizen Cable News Propagandists George Soros – Bringing Down America Rush Limbaugh The 10 Wealthiest Members of Congress The Federal Reserve The Global Warming Myth The Supreme Court U.S. Chamber of Commerce Hometown Corporate Mafia The Wendt Gang Red Pill Documentaries The Bill of Rights The United States Constitution The Federalist Papers The Anti-Federalist Papers Patriot Broadcast Archives Bill of Rights Common Law Explained The Writs for the Mandamus Search for Submit Posted: May 7, 2020 Categories: Videos Artificial intelligence & algorithms: pros & cons DW Documentary Sep 26, 2019 Developments in artificial intelligence (AI) are leading to fundamental changes in the way we live. Algorithms can already detect Parkinson’s disease and cancer, and control both cars and aircraft. How will AI change our society in the future? This documentary journeys to the hot spots of AI research in Europe, the USA and China, and looks at the revolutionary developments which are currently taking place. The rapid growth of AI offers many opportunities, but also many dangers. AI can be used to create sound and video recordings which will make it more and more difficult to distinguish between fact and fiction. It will make the world of work more efficient and many professions superfluous. Algorithms can decide whether to grant loans, who is an insurance risk, and how good employees are. But there is a huge problem: humans can no longer comprehend how algorithms arrive at their decisions. And another big problem is AI’s capacity for widespread surveillance. The Chinese city of Rongcheng is already using an AI-supported ‘social credit system’ to monitor and assess its citizens. Does AI pose a danger to our personal freedoms or democracy? Which decisions can we leave to the algorithms – and which do we want to? And what are AI’s social implications? Share this:PrintEmailTweetGabShare on TumblrPocket Published by Mark Schumacher Continue Reading Previous Post: Texas A&M researchers vaccinate 50-plus in COVID-19 clinical trialNext Post: Suspicions Raised Over COVID-19 Tests After a Fruit Reportedly Tests Positive for Virus Start the Conversation Cancel replyYour email address will not be published. Required fields are marked *Comment *Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Notify me of follow-up comments by email. Notify me of new posts by email. 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Artificial intelligence & algorithms: pros & cons
Artificial intelligence algorithms: pros cons From Trenches World Report Skip content From Trenches World Report Enforce Bill Rights Submit Primary Menu Home About Our Authority Privacy Notice Archives Know Your Enemy Barack Hussein Obama aka Barry Soetoro: World Citizen Cable News Propagandists George Soros Bringing Down America Rush Limbaugh The 10 Wealthiest Members Congress The Federal Reserve The Global Warming Myth The Supreme Court U.S. Chamber Commerce Hometown Corporate Mafia The Wendt Gang Red Pill Documentaries The Bill Rights The United States Constitution The Federalist Papers The AntiFederalist Papers Patriot Broadcast Archives Bill Rights Common Law Explained The Writs Mandamus Submit Posted: May 7, 2020 Categories: Videos Artificial intelligence algorithms: pros cons DW Documentary Sep 26, 2019 Developments artificial intelligence AI leading fundamental changes way live. Algorithms detect Parkinsons disease cancer, control cars aircraft. How AI change society future? This documentary journeys hot spots AI research Europe, USA China, looks revolutionary developments currently taking place. The rapid growth AI offers opportunities, dangers. AI create sound video recordings difficult distinguish fact fiction. It world work efficient professions superfluous. Algorithms decide grant loans, insurance risk, good employees are. But huge problem: humans longer comprehend algorithms arrive decisions. And big problem AIs capacity widespread surveillance. The Chinese city Rongcheng AIsupported social credit monitor assess citizens. Does AI pose danger personal freedoms democracy? Which decisions leave algorithms want to? And AIs social implications? 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https://www.thetelegraph.com/news/article/Virus-sparks-more-competition-for-philanthropic-15242205.php
2020-05-02T00:00:00
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Virus sparks more competition for philanthropic support - Alton Telegraph
Virus sparks more competition for philanthropic support - Alton Telegraph Subscribe Subscriber Services Home About Us Contact Us Advertise Subscribe Privacy Notice Terms of Use Heroes Unmasked News Archives Special Sections President Trump News Tip Election 2020 Online Forms RSS Feeds Alton agencies partner to provide food for families Scott County won’t prosecute stay-home violations Illinois seeks contact tracers, rallies call for re-opening state Two charged in Alton shooting that missed target, hit woman in Sports Submit scores Submit sports news Pro32 Lost season leaves area baseball coaches “all in the same ‘GLAD TO BE OUT’: Steady flow of golfers at newly BASEBALL: With senior year cut short, Shalley’s focus on Steadiness pays off: Paule swims her way to IC Obituaries Submit an obituary Features Games Contests Special Sections Comics Horoscopes Submit an Anniversary Submit Birth Submit a Birthday Submit an Engagement Submit Wedding Kane couple marks 60th anniversary Claywell, Reft announce engagement Wood River couple marks 65th anniversary Metro Theater Co. invites public participation in ‘COVID-19 Special Sections Opinion Letter to the Editor Success is measured by the lives we impact County, RBGA promote career and technology ed Alternatives needed to reach more people with news RBGA fostering community, creating opportunities Calendar Jobs Classifieds E-Edition Contact Us MenuSections https://www.thetelegraph.com/news/article/Virus-sparks-more-competition-for-philanthropic-15242205.php Virus sparks more competition for philanthropic support Updated 10:15 am CDT, Saturday, May 2, 2020 FILE - In this June 21, 2013 file photo a volunteer moves a pallet of food at the Roadrunner Food Bank in Albuquerque, N.M. The food bank distributes about 90,000 pounds of food a day to organizations that help low-income families. A program in New Mexico seeks to help farmers struggling with the economic effects of COVID-19 restrictions while assisting food banks seeking to fight hunger and poverty. less FILE - In this June 21, 2013 file photo a volunteer moves a pallet of food at the Roadrunner Food Bank in Albuquerque, N.M. The food bank distributes about 90,000 pounds of food a day to organizations that help ... more Photo: Susan Montoya Bryan, AP Photo: Susan Montoya Bryan, AP Image 1 of / 3 Caption Close Image 1 of 3 FILE - In this June 21, 2013 file photo a volunteer moves a pallet of food at the Roadrunner Food Bank in Albuquerque, N.M. The food bank distributes about 90,000 pounds of food a day to organizations that help low-income families. A program in New Mexico seeks to help farmers struggling with the economic effects of COVID-19 restrictions while assisting food banks seeking to fight hunger and poverty. less FILE - In this June 21, 2013 file photo a volunteer moves a pallet of food at the Roadrunner Food Bank in Albuquerque, N.M. The food bank distributes about 90,000 pounds of food a day to organizations that help ... more Photo: Susan Montoya Bryan, AP Virus sparks more competition for philanthropic support 1  /  3 Back to Gallery SANTA FE, N.M. (AP) — Susan Hemmerle calls The Horse Shelter’s reserve account — to be used in times of emergency or struggle — the “rainy day fund.” It’s beginning to pour. The nonprofit organization, which serves as a sanctuary for abused, neglected or abandoned horses in the state, is feeling the financial crunch as the COVID-19 pandemic wreaks havoc on its revenue base. The state’s stay-at-home orders have forced the closure of the Santa Fe nonprofit’s resale store, which carries a mix of clothing, jewelry, art and riding gear. It also delayed to October an important spring auction scheduled for May. Hemmerle, The Horse Shelter’s director, said the store and the auction combined generate about $160,000 per year for the organization. She estimated the auction delay and the shutdown of the store for three or four months could result in a loss of about 20 percent of its operational budget. That makes the reserve fund all the more important. And still that might not be enough to survive, leading Hemmerle to submit a recent letter to the editor to The New Mexican asking the public for donations. “We have a really good board (of directors) and we are fiscally responsible, like any good business and nonprofit,” Hemmerle said. “We have our rainy day fund, but you don’t want to use that up. We are experiencing losses, but we don’t know how severe.” For nonprofits that rely on donations and public fundraisers, the COVID-19 crisis has created yet more — and if possible, more urgent — competition for the philanthropic dollar. Observers say organizations that raise money to directly support COVID-19 relief could easily affect smaller, cause-specific nonprofits as fears of a recession spread through the economy. Initially, at least, food banks and others that work to help those in need during the crisis are seeing a rise in attention and funding. Jill Dixon, director of development for The Food Depot, said the nonprofit has seen a surge in donations in the weeks since the novel coronavirus outbreak. Dixon pointed out it’s a mix of new donors, those who have been inactive for a while and regular contributors who are giving a little more in this time of need. “We’ve had many folks give portions or their entire stimulus check, if they felt like they didn’t need it,” Dixon said. “That brought me to tears a couple of times last week, hearing that and reading the notes on those.” Dixon said The Food Depot has stopped taking food donations and is accepting only money for the moment. Part of that stemmed from a safety concern for workers and volunteers, but she also noted financial donations are a more efficient way to contribute given the current situation. “We are able to purchase (food) at a reduced cost,” Dixon said. “We’re not paying straight-up retail. We’re purchasing in bulk, and we get a more advantageous price than most people are going to get at the grocery store.” The need, she said, is significant. On April 18, The Food Depot delivered needed staples to more than 3,000 people during a two-hour period in Santa Fe. Dixon said a similar food pickup event in Española last week served more than 4,000 people, with a line of cars stretching into the heart of the city. When the epidemic caused school closures for the rest of the 2019-20 academic year, it forced Communities In Schools of New Mexico to change its approach on the fly. The organization, which aids some of Santa Fe Public Schools’ lowest-income students, quickly shifted its focus to training its 80 volunteer tutors to connect with students online. It also started an emergency donation drive for families in need of temporary housing or paying for rent, utilities and other essentials. Executive Director Julia Bergen said the effort raised $75,000, and Communities In Schools has spent about $20,000 so far. The organization has also helped families of students not involved in the program but who were in need. The organization has relied on funding from the district as well as city and county government for revenue, Bergen said. It has also worked to get assistance from the private sector. With the uncertainty of how much public sector funding will be available for the next school year, Bergen said she and her staff have worked diligently over the past month to apply for grants from state and federal programs while also looking at other fundraising options. “We’re being very aggressive in our fundraising and trying to be innovative and creative,” Bergen said. “At the same time, we’re trying to be very practical and realistic that we are where we are right now. It’s tough for any one of us to really know what the future portends. So, we have to plan and be very thoughtful in our planning.” Nonprofits that serve causes not directly affected by the crisis are still assessing the situation. Corinne Collins, executive director of the Cancer Foundation for New Mexico, said the organization’s fundraising has not yet been negatively affected. That’s critical, she said, because the group assists cancer patients in Northern New Mexico who struggle with travel costs related to their treatment. Collins said an important arm of its fundraising campaign, the annual Sweetheart Auction that generates roughly 50 percent of its yearly revenue, was held in February. However, its September Supper Club gathering could be in jeopardy. Collins said her staff is exploring other options, including virtual fundraising, but acknowledged raising money could become more difficult if the economic outlook remains dim. “We feel the need will be greater than ever, given that so many people are losing their jobs and their safety nets,” Collins said. “If they experience a cancer diagnosis on top of that, that is going to be really, really tough.” Fundraisers say while the need for help on a variety of fronts appears to be growing, the number of potential donors could dwindle the longer the economic crisis lasts. And Dixon said the growth of GoFundMe — a popular website through which individuals can establish their own fundraising efforts — already posed a challenge for nonprofits. Couple that with the trend of businesses forming their own relief funds during the pandemic to assist their employees or to help raise funds for other nonprofit groups, and it creates an abundance of choice. “There is a lot of competition out there, and there is always the competition that you’re used to,” Dixon said. “Donors have a lot of choices when they decide to become philanthropic.” Hemmerle said The Horse Shelter has applied for local and national loans and grants, including the Paycheck Protection Program that allowed small-business owners to apply for as much as $10 million to keep employees on the payroll for eight weeks. Hemmerle said the organization received some money from smaller, local programs but was denied through the federal program when funds ran dry. She said she intends to apply again for federal money after the latest small-business stimulus package passed last week. “On one side, I understand it because I am sure all of their systems are overwhelmed by the amazing volume of what’s happening,” Hemmerle said. “The other part is, you don’t know where you stand and what to expect. You apply, and the next thing you hear is that the funds are all used up.” The only hope is that a rainy day doesn’t turn into a monsoon. Recent News Listen: Mayors of Alton, Grafton, Wood River area share their... BY Ron DeBrock Nancy Berry ministering to others | 2020 Women of Distinction BY Vicki Bennington For The Telegraph State Sen. Rachelle Aud Crowe advocating for community | 2020... BY Vicki Bennington For The Telegraph First coronavirus-related death reported in Jersey County BY Scott Cousins View Comments © 2020 Hearst Communications, Inc. 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Virus sparks more competition for philanthropic support
Virus sparks competition philanthropic support Alton Telegraph r Services Home Us Advertise Privacy Notice Terms Use Heroes Unmasked News Archives Special Sections President Trump News Tip Election 2020 Online Forms RSS Feeds Alton agencies partner provide food families Scott County wont prosecute stayhome violations Illinois seeks contact tracers, rallies reopening state Two charged Alton shooting missed target, hit woman Sports Submit scores Submit sports news Pro32 Lost season leaves area baseball coaches GLAD TO BE OUT: Steady flow golfers newly BASEBALL: With senior year cut short, Shalleys focus Steadiness pays off: Paule swims way IC Obituaries Submit obituary Features Games Contests Special Sections Comics Horoscopes Submit Anniversary Submit Birth Submit Birthday Submit Engagement Submit Wedding Kane couple marks 60th anniversary Claywell, Reft announce engagement Wood River couple marks 65th anniversary Metro Theater Co. invites public participation COVID19 Special Sections Opinion Letter Editor Success measured lives impact County, RBGA promote career technology ed Alternatives needed reach people news RBGA fostering community, creating opportunities Calendar Jobs Classifieds EEdition Us MenuSections Virus sparks competition philanthropic support Updated 10:15am CDT, Saturday, May 2, 2020 FILE In June 21, 2013 file photo volunteer moves pallet food Roadrunner Food Bank Albuquerque, N.M. The food bank distributes 90,000 pounds food day organizations help lowincome families. A program New Mexico seeks help farmers struggling economic effects COVID19 restrictions assisting food banks seeking fight hunger poverty. FILE In June 21, 2013 file photo volunteer moves pallet food Roadrunner Food Bank Albuquerque, N.M. The food bank distributes 90,000 pounds food day organizations help ... Photo: Susan Montoya Bryan, AP Photo: Susan Montoya Bryan, AP Image 1 3 Caption Close Image 1 3 FILE In June 21, 2013 file photo volunteer moves pallet food Roadrunner Food Bank Albuquerque, N.M. The food bank distributes 90,000 pounds food day organizations help lowincome families. A program New Mexico seeks help farmers struggling economic effects COVID19 restrictions assisting food banks seeking fight hunger poverty. FILE In June 21, 2013 file photo volunteer moves pallet food Roadrunner Food Bank Albuquerque, N.M. The food bank distributes 90,000 pounds food day organizations help ... Photo: Susan Montoya Bryan, AP Virus sparks competition philanthropic support 1 3 Back Gallery SANTA FE, N.M. AP Susan Hemmerle calls The Horse Shelters reserve account times emergency struggle rainy day fund. Its beginning pour. The nonprofit organization, serves sanctuary abused, neglected abandoned horses state, feeling financial crunch COVID19 pandemic wreaks havoc revenue base. The states stayathome orders forced closure Santa Fe nonprofits resale store, carries mix clothing, jewelry, art riding gear. It delayed October important spring auction scheduled May. Hemmerle, The Horse Shelters director, said store auction combined generate 160,000 year organization. She estimated auction delay shutdown store months result loss 20 percent operational budget. That makes reserve fund important. And survive, leading Hemmerle submit recent letter editor The New Mexican asking public donations. We good board directors fiscally responsible, like good business nonprofit, Hemmerle said. We rainy day fund, dont want use up. We experiencing losses, dont know severe. For nonprofits rely donations public fundraisers, COVID19 crisis created possible, urgent competition philanthropic dollar. Observers organizations raise money directly support COVID19 relief easily affect smaller, causespecific nonprofits fears recession spread economy. Initially, least, food banks work help need crisis seeing rise attention funding. Jill Dixon, director development The Food Depot, said nonprofit seen surge donations weeks novel coronavirus outbreak. Dixon pointed mix new donors, inactive regular contributors giving little time need. Weve folks portions entire stimulus check, felt like didnt need it, Dixon said. That brought tears couple times week, hearing reading notes those. Dixon said The Food Depot stopped taking food donations accepting money moment. Part stemmed safety concern workers volunteers, noted financial donations efficient way contribute given current situation. We able purchase food reduced cost, Dixon said. Were paying straightup retail. Were purchasing bulk, advantageous price people going grocery store. The need, said, significant. On April 18, The Food Depot delivered needed staples 3,000 people twohour period Santa Fe. Dixon said similar food pickup event Espaola week served 4,000 people, line cars stretching heart city. When epidemic caused school closures rest 201920 academic year, forced Communities In Schools New Mexico change approach fly. The organization, aids Santa Fe Public Schools lowestincome students, quickly shifted focus training 80 volunteer tutors connect students online. It started emergency donation drive families need temporary housing paying rent, utilities essentials. Executive Director Julia Bergen said effort raised 75,000, Communities In Schools spent 20,000 far. The organization helped families students involved program need. The organization relied funding district city county government revenue, Bergen said. It worked assistance private sector. With uncertainty public sector funding available school year, Bergen said staff worked diligently past month apply grants state federal programs looking fundraising options. Were aggressive fundraising trying innovative creative, Bergen said. At time, trying practical realistic right now. Its tough know future portends. So, plan thoughtful planning. Nonprofits serve causes directly affected crisis assessing situation. Corinne Collins, executive director Cancer Foundation New Mexico, said organizations fundraising negatively affected. Thats critical, said, group assists cancer patients Northern New Mexico struggle travel costs related treatment. Collins said important arm fundraising campaign, annual Sweetheart Auction generates roughly 50 percent yearly revenue, held February. However, September Supper Club gathering jeopardy. Collins said staff exploring options, including virtual fundraising, acknowledged raising money difficult economic outlook remains dim. We feel need greater ever, given people losing jobs safety nets, Collins said. If experience cancer diagnosis that, going really, tough. Fundraisers need help variety fronts appears growing, number potential donors dwindle longer economic crisis lasts. And Dixon said growth GoFundMe popular website individuals establish fundraising efforts posed challenge nonprofits. Couple trend businesses forming relief funds pandemic assist employees help raise funds nonprofit groups, creates abundance choice. There lot competition there, competition youre to, Dixon said. Donors lot choices decide philanthropic. Hemmerle said The Horse Shelter applied local national loans grants, including Paycheck Protection Program allowed smallbusiness owners apply 10 million employees payroll weeks. Hemmerle said organization received money smaller, local programs denied federal program funds ran dry. She said intends apply federal money latest smallbusiness stimulus package passed week. On side, I understand I sure systems overwhelmed amazing volume whats happening, Hemmerle said. The is, dont know stand expect. You apply, thing hear funds up. The hope rainy day doesnt turn monsoon. Recent News Listen: Mayors Alton, Grafton, Wood River area share their... BY Ron DeBrock Nancy Berry ministering 2020 Women Distinction BY Vicki Bennington For The Telegraph State Sen. Rachelle Aud Crowe advocating community 2020... BY Vicki Bennington For The Telegraph First coronavirusrelated death reported Jersey County BY Scott Cousins View Comments 2020 Hearst Communications, . 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https://murphyshockeylaw.net/news/129716/global-impact-of-covid-19-on-die-attach-materials-market-to-record-significant-revenue-growth-during-the-forecast-period-2020-2027-henkel-dow-corning-corporation-master-bond-inc-hybond-i/
2020-12-02T00:00:00
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Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … – Murphy's Hockey Law
Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … – Murphy's Hockey Law Skip to content December 2, 2020 Murphy's Hockey Law Primary Menu All News Energy News Space Contact Search for: HomeNewsGlobal Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … News Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … 4 min read 1 second ago vasudeo The Die-Attach Materials market report covers a comprehensive market analysis by product types, end-user applications, sales channels, and geographical location. It offers detailed insights on the market drivers, restraints, opportunities, threats, challenges, and dynamics that are influencing the keyword market. This report presents information about market size, pricing trends, emerging trends, and provides an understanding of the market parameters that can create lucrative opportunities for the new entrants and emerging players in the market. Get Free PDF Sample Report to Understand Complete Structure of Report: https://industrygrowthinsights.com/request-sample/?reportId=130204 Report Covers the Covid-19 Impact on the Market The coronavirus pandemic has disrupted the demand and supply chain of the Global Die-Attach Materials Market. It has left various companies struggling in these pressing times. However, the global economy is slowly recovering and is expected to be back on track to the pre-COVID levels. Industry Growth Insights (IGI)’s dedicated research team has conducted various interviews with industry experts to understand the scope and impact of COVID-19 on the market. They have included the strategies that industry players have rolled to combat the tough times. Besides this, it curated potential future opportunities the COVID-19 crisis has brought to the keyword market. Competitive Landscape The market research report bestows an in-depth analysis of industry players’ product performance and their future potential strategies to expand their market share. This report lists their latest developments, mergers, acquisitions, collaborations, and partnerships that have adhered them to escalate their market. Along with this, it represents the challenges companies have faced during the expansion phase. Moreover, the report covers creative business strategies prominent players have laid down to propel their revenue and valuation. The Prominent Players Of The Die-Attach Materials Market Are: HenkelDow Corning CorporationMaster Bond Inc.Hybond Inc.AI TechnologyAlpha Assembly SolutionsCreative Materials Inc.… Note: Additional or specific company names can be added to the list. Get on the call with our research analyst if you have any particular doubts before buying the report @ https://industrygrowthinsights.com/enquiry-before-buying/?reportId=130204 Reasons to Purchase the report This market report identifies the top winning strategies that can help the new entrants and emerging players to augment their market share in the competitive space. The Die-Attach Materials market report identifies all possible segments that aid in the organization’s growth and helps the businesses to make crucial decisions easily. This market research report has curated the analysis of the key raw materials, price trend of raw materials, manufacturing process, and key vendors of raw materials in the global market. The dedicated research team has prepared the report with robust research methodology and has also included Porter’s Five Forces analysis to understand the complex matrix of the market. The Die-Attach Materials market can be customized according to your requirements. Market Segmentation The report is segmented into the type of products available in the market. This Die-Attach Materials market report offers a detailed analysis of the products’ market performance and their future market scope during the forecast period 2020-2027. It also confers details on the product’s revenue, volume sales, and global/regional price of manufactures in the keyword market. Moreover, the product segment provides information on the potentially lucrative opportunities and new market avenues a product segment can bring into the market. The Study Is Segmented By Following Product Type: Eutectic Die Attach MaterialsPolymer AdhesivesOther This market report is divided on the basis of product applications. This report covers the analysis of the specific product application contribution to the market in terms of volume, size, and revenue. Furthermore, it unleashes potential future market applications that can impact the growth of the market. Major Applications/End-Users Industry Are As Follows: AdhesivesSolderFilmsSinteringOther This market report provides an in-depth assessment of the regional market analysis which includes growth factors, performance, and potential sales in the forecast period. This regional analysis segment helps the reader to truly understand the potential worth of investment and opportunities in a particular region. The report is curated after studying the economic, social, political, technological, and environmental status in a particular region. Moreover, it covers the government regulations & policies of prominent regions that are affecting the dynamics of the Die-Attach Materials market. Complete Purchase of Latest Version Global Die-Attach Materials Market Study with COVID-19 Impact Analysis: https://industrygrowthinsights.com/checkout/?reportId=130204 Regions covered in the report North America Asia Pacific Europe Middle East & Africa Latin America Note: A country of choice can be added to the list without any extra cost. If more than one needs to be added, the quote will depend on the research factors accordingly. Research Goals:- Study and analyze the global Die-Attach Materials market consumption (value and volume) by key regions/countries, product type, and application, historical data from 2017 to 2019, and forecast to 2027. Understand market structure by identifying their various segments as types, applications, and manufacturers. Focuses on the world’s leading Die-Attach Materials market’s manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, market size, SWOT analysis, and development plans in the coming years. To analyze the Die-Attach Materials market with respect to individual growth trends, competition, future prospects, and their contribution to the total market. Share detailed information on the key factors influencing the market growth (growth potential, opportunities, drivers, challenges, and industry-specific risks). About IndustryGrowthInsights:INDUSTRYGROWTHINSIGHTS has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports. Contact Info: –Name: – Alex MathewsAddress: – 500 East E Street, Ontario, CA 91764, United States.Phone No: – USA: +1 909 545 6473 | IND: +91-7000061386Email: – [email protected]Website: – https://IndustryGrowthInsights.com Tags: Die-Attach Materials Market Die-Attach Materials Market analysis Die-Attach Materials Market forecast Die-Attach Materials Market players Die-Attach Materials Market scope Die-Attach Materials Market share Die-Attach Materials Market size Die-Attach Materials Market trends Continue Reading Previous Retail E-Commerce Software Market May See Big Move | Volusion, Ekm Systems, VirtueMartNext Credit Repair Services Market Next Big Thing | Major Giants- The Credit Pros, MyCreditGroup, Sky Blue More Stories 4 min read News Credit Repair Services Market Next Big Thing | Major Giants- The Credit Pros, MyCreditGroup, Sky Blue 1 second ago craig 4 min read All News News Industrial Radiators Market Production, Valuation And Sales Forecast 2020-2026 1 second ago Exltech 4 min read News Retail E-Commerce Software Market May See Big Move | Volusion, Ekm Systems, VirtueMart 3 seconds ago craig Search for: Recent Posts Credit Repair Services Market Next Big Thing | Major Giants- The Credit Pros, MyCreditGroup, Sky Blue Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … Industrial Radiators Market Production, Valuation And Sales Forecast 2020-2026 Retail E-Commerce Software Market May See Big Move | Volusion, Ekm Systems, VirtueMart Latest Research on Corporate LMS Market | Competitors Analysis Report 2020 You may have missed 4 min read News Credit Repair Services Market Next Big Thing | Major Giants- The Credit Pros, MyCreditGroup, Sky Blue 1 second ago craig 4 min read News Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027 | Henkel, Dow Corning Corporation, Master Bond Inc., Hybond Inc., AI Technology, Alpha Assembly Solutions, Creative Materials Inc., … 1 second ago vasudeo 4 min read All News News Industrial Radiators Market Production, Valuation And Sales Forecast 2020-2026 1 second ago Exltech 4 min read News Retail E-Commerce Software Market May See Big Move | Volusion, Ekm Systems, VirtueMart 3 seconds ago craig All News Energy News Space Contact Copyright © All rights reserved. | Newsphere by AF themes.
Global Impact Of Covid-19 On Die-Attach Materials Market To Record Significant Revenue Growth During The Forecast Period 2020–2027
Global Impact Of Covid19 On DieAttach Materials Market To Record Significant Revenue Growth During The Forecast Period 20202027 Henkel, Dow Corning Corporation, Master Bond ., Hybond ., AI Technology, Alpha Assembly Solutions, Creative Materials ., Murphys Hockey Law Skip content December 2, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeNewsGlobal Impact Of Covid19 On DieAttach Materials Market To Record Significant Revenue Growth During The Forecast Period 20202027 Henkel, Dow Corning Corporation, Master Bond ., Hybond ., AI Technology, Alpha Assembly Solutions, Creative Materials ., News Global Impact Of Covid19 On DieAttach Materials Market To Record Significant Revenue Growth During The Forecast Period 20202027 Henkel, Dow Corning Corporation, Master Bond ., Hybond ., AI Technology, Alpha Assembly Solutions, Creative Materials ., 4 min read 1 second ago vasudeo The DieAttach Materials market report covers comprehensive market analysis product types, enduser applications, sales channels, geographical location. It offers detailed insights market drivers, restraints, opportunities, threats, challenges, dynamics influencing keyword market. This report presents information market size, pricing trends, emerging trends, provides understanding market parameters create lucrative opportunities new entrants emerging players market. Get Free PDF Sample Report Understand Complete Structure Report: Report Covers Covid19 Impact Market The coronavirus pandemic disrupted demand supply chain Global DieAttach Materials Market. It left companies struggling pressing times. However, global economy slowly recovering expected track preCOVID levels. Industry Growth Insights IGIs dedicated research team conducted interviews industry experts understand scope impact COVID19 market. They included strategies industry players rolled combat tough times. Besides this, curated potential future opportunities COVID19 crisis brought keyword market. Competitive Landscape The market research report bestows indepth analysis industry players product performance future potential strategies expand market share. This report lists latest developments, mergers, acquisitions, collaborations, partnerships adhered escalate market. Along this, represents challenges companies faced expansion phase. Moreover, report covers creative business strategies prominent players laid propel revenue valuation. The Prominent Players Of The DieAttach Materials Market Are: HenkelDow Corning CorporationMaster Bond .Hybond .AI TechnologyAlpha Assembly SolutionsCreative Materials . Note: Additional specific company names added list. Get research analyst particular doubts buying report @ Reasons Purchase report This market report identifies winning strategies help new entrants emerging players augment market share competitive space. The DieAttach Materials market report identifies possible segments aid organizations growth helps businesses crucial decisions easily. This market research report curated analysis key raw materials, price trend raw materials, manufacturing process, key vendors raw materials global market. The dedicated research team prepared report robust research methodology included Porters Five Forces analysis understand complex matrix market. The DieAttach Materials market customized according requirements. Market Segmentation The report segmented type products available market. This DieAttach Materials market report offers detailed analysis products market performance future market scope forecast period 20202027. It confers details products revenue, volume sales, globalregional price manufactures keyword market. Moreover, product segment provides information potentially lucrative opportunities new market avenues product segment bring market. The Study Is Segmented By Following Product Type: Eutectic Die Attach MaterialsPolymer AdhesivesOther This market report divided basis product applications. This report covers analysis specific product application contribution market terms volume, size, revenue. Furthermore, unleashes potential future market applications impact growth market. Major ApplicationsEndUsers Industry Are As Follows: AdhesivesSolderFilmsSinteringOther This market report provides indepth assessment regional market analysis includes growth factors, performance, potential sales forecast period. This regional analysis segment helps reader truly understand potential worth investment opportunities particular region. The report curated studying economic, social, political, technological, environmental status particular region. Moreover, covers government regulations policies prominent regions affecting dynamics DieAttach Materials market. Complete Purchase Latest Version Global DieAttach Materials Market Study COVID19 Impact Analysis: Regions covered report North America Asia Pacific Europe Middle East Africa Latin America Note: A country choice added list extra cost. If needs added, quote depend research factors accordingly. Research Goals: Study analyze global DieAttach Materials market consumption value volume key regionscountries, product type, application, historical data 2017 2019, forecast 2027. Understand market structure identifying segments types, applications, manufacturers. Focuses worlds leading DieAttach Materials markets manufacturers, define, analyze sales volume, value, market share, market competition landscape, market size, SWOT analysis, development plans coming years. To analyze DieAttach Materials market respect individual growth trends, competition, future prospects, contribution total market. Share detailed information key factors influencing market growth growth potential, opportunities, drivers, challenges, industryspecific risks. About IndustryGrowthInsights:INDUSTRYGROWTHINSIGHTS set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. Each report goes proper research methodology, validated professionals analysts ensure eminent quality reports. Info: Name: Alex MathewsAddress: 500 East E Street, Ontario, CA 91764, United States.Phone No: USA: 1 909 545 6473 IND: 917000061386Email: [emailprotected]Website: Tags: DieAttach Materials Market DieAttach Materials Market analysis DieAttach Materials Market forecast DieAttach Materials Market players DieAttach Materials Market scope DieAttach Materials Market share DieAttach Materials Market size DieAttach Materials Market trends Continue Reading Previous Retail ECommerce Software Market May See Big Move Volusion, Ekm Systems, VirtueMartNext Credit Repair Services Market Next Big Thing Major Giants The Credit Pros, MyCreditGroup, Sky Blue More Stories 4 min read News Credit Repair Services Market Next Big Thing Major Giants The Credit Pros, MyCreditGroup, Sky Blue 1 second ago craig 4 min read All News News Industrial Radiators Market Production, Valuation And Sales Forecast 20202026 1 second ago Exltech 4 min read News Retail ECommerce Software Market May See Big Move Volusion, Ekm Systems, VirtueMart 3 seconds ago craig for: Recent Posts Credit Repair Services Market Next Big Thing Major Giants The Credit Pros, MyCreditGroup, Sky Blue Global Impact Of Covid19 On DieAttach Materials Market To Record Significant Revenue Growth During The Forecast Period 20202027 Henkel, Dow Corning Corporation, Master Bond ., Hybond ., AI Technology, Alpha Assembly Solutions, Creative Materials ., Industrial Radiators Market Production, Valuation And Sales Forecast 20202026 Retail ECommerce Software Market May See Big Move Volusion, Ekm Systems, VirtueMart Latest Research Corporate LMS Market Competitors Analysis Report 2020 You missed 4 min read News Credit Repair Services Market Next Big Thing Major Giants The Credit Pros, MyCreditGroup, Sky Blue 1 second ago craig 4 min read News Global Impact Of Covid19 On DieAttach Materials Market To Record Significant Revenue Growth During The Forecast Period 20202027 Henkel, Dow Corning Corporation, Master Bond ., Hybond ., AI Technology, Alpha Assembly Solutions, Creative Materials ., 1 second ago vasudeo 4 min read All News News Industrial Radiators Market Production, Valuation And Sales Forecast 20202026 1 second ago Exltech 4 min read News Retail ECommerce Software Market May See Big Move Volusion, Ekm Systems, VirtueMart 3 seconds ago craig All News Energy News Space . Newsphere AF themes.
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https://www.finanznachrichten.de/nachrichten-2020-04/49362476-roscan-gold-intersects-3-20-gpt-gold-over-70m-and-confirms-depth-continuity-to-120m-at-mankouke-south-target-296.htm
2020-04-13T00:00:00
en
Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South Target
Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South TargetAnzeige❌Mehr »LoginStartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hoc-MitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur- und WirtschaftsnewsMarktberichteEmpfehlungsübersichtAlle AktienempfehlungenChartanalysenIPO-NewsTermineThemen-DossiersIndizesÜbersicht nach Indizes/MärktenDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtMedienMedienübersichtArchivErweiterte SucheAktienkurseAktienkurseRealtime-Aktienkursliste (L&S)Online-Broker-VergleichXETRA-OrderbuchÜbersichtXETRA-Orderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtBau / InfrastrukurBekleidung / TextilBiotechnologieChemieDienstleistungenEisen / StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetränke/TabakHalbleiterHandelHardwareHolz / PapierImmobilienInternetIT-DienstleistungenKonsumgüterKosmetikKunststoffeLogistik / TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel / AgrarNetzwerktechnikÖl/GasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowährungenWatchlistWatchlist anlegenWas bringt eine Nachrichten-Watchlist?Montag, 13.04.2020 Börsentäglich über 12.000 News von 627 internationalen MedienErweiterteSucheIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Aktien»Nachrichten»ROSCAN GOLD AKTIE»Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South TargetFN als StartseiteROSCAN GOLD CORPORATIONWKN: A2N609 ISIN: CA77683B1076 Ticker-Symbol: 2OJ Frankfurt09.04.2008:11 Uhr0,114 Euro+0,003+2,70 %NachrichtenAnalysenKurseChartBrancheRohstoffeAktienmarktSonstige1-Jahres-Chart 5-Tage-Chart RealtimeGeldBriefZeit0,0960,12309.04.Newsfile13.04.2020 | 17:21104 LeserArtikel bewerten:(0)Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South TargetToronto, Ontario--(Newsfile Corp. - April 13, 2020) - Roscan Gold Corporation (TSXV: ROS) (FSE:2OJ) ("Roscan" or the "Company") is pleased to confirm depth continuity in mineralization and positive DDH and RC drill results (Figure 1) from an additional 20 holes totaling 2,315 metres (m) at its Mankouke South Target, and AC drilling has begun at Kandiole West with the arrival of the second drill.The drill program has extended the depth of Southern Mankouke Target from 80m in February 2020 to currently 120m (Figure 2). Additionally, drillhole DDMan-20-25 ended in mineralization (40.7gpt over 1.5m) at 143.7m depth (Figure 3). The second drill at Kandiole West began drilling (8km from B2Gold's Fekola Mine) and has completed 50 AC holes, and we are currently awaiting the first batch of assay results.Highlights from Mankouke South Target:3.20 gpt gold over 70.0m from drill hole DDMan-20-27 from 29.2m;Including 9.19 gpt gold over 15.0m from 29.2m5.75 gpt gold over 22.0m from drill hole DDMan-20-26 from 20.2m;Including 36.5 gpt gold over 3.0m from 24.2m5.80 gpt gold over 10.0m from drill hole DDMan-20-25 from 21.2m;Including 23.0 gpt gold over 2.0m from 29.2m1.93 gpt gold over 12.0m from drill hole DDMan-20-25 from 122.2m;18.6 gpt gold over 3.5m from drill hole DDMan-20-25 from 140.2m;Including 40.7 gpt gold over 1.50m from 142.2m (Hole ended in mineralization due to drilling issues)3.66 gpt gold over 25.0m from drill hole DDMan-20-24 from 19.2m;Including 5.92 gpt gold over 8.0m from 19.2m1.60 gpt gold over 19.0m from drill hole DDMan-20-24 from 72.2m;9.69 gpt gold over 7.0m from drill hole RCMan-20-10 from 70.0m;Including 13.3 gpt gold over 5.0m from 71.0m5.69 gpt gold over 7.0m from drill hole RCMan-20-10 from 87.0m;Including 17.4 gpt gold over 2.0m from 87.0m2.74gpt gold over 26.0m from drill hole RCMan-20-10 from 108.0m;Notes: 1: True width yet to be determined, 2: Table 1 - Assay Highlights, 3: 0.5gpt used as cut-off and 4: No top-cut5. Holes have a dip of -50° and azimuth of 270°Nana Sangmuah, President and CEO, stated, "Safety remains our top priority and I am happy to advise, that, at this time, we do not have any cases of the COVID-19 virus. We are very pleased with the rapid exploration success achieved in 2020, and we now have several high-grade intersections at 80m-120m depth with our deepest hole to date DDMan-20-25 ending in high grade gold mineralization. The geological potential at our project is clearly being demonstrated and, with this round of drilling, has confirmed further depth extension. Based on the current dataset it appears there is a slight northern plunge which is similar to other deposits in the surrounding area. The second drill at Kandiole West Target is 8km east of the Fekola Mine."Figure 1: Plan View delineating high grades at Mankouke SouthTo view an enhanced version of this graphic, please visit:https://orders.newsfilecorp.com/files/4821/54365_052ef4daa4b23ba0_001full.jpgFigure 2: Longitudinal View of Mankouke South - Depicting Depth Continuity with Diamond Drilling HolesTo view an enhanced version of this graphic, please visit:https://orders.newsfilecorp.com/files/4821/54365_052ef4daa4b23ba0_002full.jpgFigure 3: Cross Section depicting Depth Continuity - DDMan-20-25 (EOH at 143.7m (40.7gpt))To view an enhanced version of this graphic, please visit:https://orders.newsfilecorp.com/files/4821/54365_052ef4daa4b23ba0_003full.jpgMankouke South remains open at depth, and we will continue to drill deeper holesMankouke South remains open to the North and we will continue to drill to increase strike length with future drillingWe are currently conducting modeling exercises of these holes to better understand our geological modelWe have implemented very stringent health measures to mitigate the COVID-19 virus and we continue to work with the surrounding communitiesExploration has not been impacted to date by COVID-19 virus Kandiole West (KW) - Regional AC Drilling Exploration ProgramCompleted 50 AC Holes for 1,719m along 3 fence lines with the second drillSamples are being sent to the assay laboratoryThis zone is located approximately 8km East of Fekola Mine (B2Gold)Current planned exploration drill program comprises of 122 holes for 6,100mWe have intersected the fresh rock and will be tested in the next phase of drillingCommenced 2 shifts per dayBulldozer has cleared the Kandiole West Target for all drillingThe gold mineralization at Mankouke South is associated with quartz veining and/or disseminated and stringer pyrite hosted in brecciated and locally sheared greywackes and mudstones underlain by interbedded limestones and mudstones of the Kofi Formation and is located approximately 25km east of the Fekola mine (B2Gold Corp.). This mineralization is structurally aligned with the Mankouke South mineralization that occurs in the structural corridor that also hosts the Siribaya deposits to the South (IAMGOLD Corp.), Roscan's Mankouke Central prospect along the 7km long Mankouke Corridor Target, and our neighbors to the North (Oklo Resources Ltd.). Drilling Contract and Analytical ProtocolThe drilling contract was awarded to Target Drilling SARL who employ KL900-1 multi-purpose (AC/RC/DD) rig at Mankouke South. The AC drilling contract was awarded to Geodrill and is currently drilling Kandiole West.All drill samples are sent for preparation to Bureau Veritas Mineral Laboratories in Bamako, Mali and transported by Bureau Veritas to their analytical facility in Abidjan, Ivory Coast for fire assay with atomic absorption finish and by gravimetric finish for grades above 10 gpt Au. Roscan applied industry-standard QA/QC procedures to the program. Certified reference materials, blanks and field duplicates are inserted at appropriate intervals.Some highlighted results (July 22, 2019) from Southern Mankouke Discovery Line are shown below:4.50 gpt gold over 16.0 metres from drill hole ACMan-19-167;5.86 gpt gold over 26.0 metres from drill hole ACMan-19-167;3.00 gpt gold over 10.0 metres from drill hole ACMan-19-168;3.74 gpt gold over 30.0 metres from drill hole ACMan-19-168; and6.13 gpt gold over 6.0 metres from drill hole ACMan-19-166.Hold IDLine #FromTo Interval (m)gpt AuCommentRCMAN20-04137575028.0118.0900.79RCMAN20-0513757503.031.0280.82and38.076.0381.28including41.050.093.13RCMAN20-06137565062.070.080.63RCMAN20-1013759505.018.0131.53and30.045.0150.49and70.077.079.69including71.076.0513.3and87.094.075.69including87.089.0217.4and108.0134.0262.74including110.0113.037.85and122.0124.029.86RCMAN20-11137595021.043.0222.65including22.028.067.86RCMAN20-12137605096.0106.0102.03DDMAN20-22No significant IntervalDDMAN20-23No significant IntervalDDMAN20-2413760009.214.251.57and19.244.2253.66including19.227.285.92and72.291.2191.60DDMAN20-25137600021.231.2105.80including29.231.2223.0and44.249.251.58and92.2100.280.84and122.2134.2121.93and140.2143.73.518.6hole lost in mineralizationincluding142.2143.71.540.7bit change / difficult groundDDMAN20-2613759006.215.290.92and20.242.2225.75including24.227.2336.5and75.283.280.83DDMAN20-2713758001.224.2231.01and29.299.2703.20including29.244.2159.19Table 1: Drillhole Highlights at Mankouke South (Apr. 2020)Qualified Person (QP) and NI43-101 Disclosure;Greg Isenor, P. Geo., Executive Vice-Chairman for the Company, is the designated Qualified Person for this news release within the meaning of National Instrument 43-101 ("NI 43-101") and has reviewed and verified that the technical information contained herein is accurate and approves of the written disclosure of same.About RoscanRoscan Gold Corporation is a Canadian gold exploration company focused on the exploration and acquisition of gold properties in West Africa. The Company has assembled a significant land position of 100%-owned permits in an area of producing gold mines (including B2 Gold's Fekola Mine which lies in a contiguous property to the west of Kandiole), and major gold deposits, located both north and south of its Kandiole Project in West Mali.For further information, please contact: Andrew J. RamcharanExecutive Vice President - Corporate Development and Investor RelationsTel: (416) 572-2295Email: [email protected] IsenorExecutive Vice-ChairmanTel: (902) 832-5555Email: [email protected] Looking Statements This news release contains forward-looking information which is not comprised of historical facts. Forward-looking information is characterized by words such as "plan", "expect", "project", "intend", "believe", "anticipate", "estimate" and other similar words, or statements that certain events or conditions "may" or "will" occur. Forward-looking information involves risks, uncertainties and other factors that could cause actual events, results, and opportunities to differ materially from those expressed or implied by such forward-looking information. Factors that could cause actual results to differ materially from such forward-looking information include, but are not limited to, changes in the state of equity and debt markets, fluctuations in commodity prices, delays in obtaining required regulatory or governmental approvals, and other risks involved in the mineral exploration and development industry, including those risks set out in the Company's management's discussion and analysis as filed under the Company's profile at www.sedar.com. Forward-looking information in this news release is based on the opinions and assumptions of management considered reasonable as of the date hereof, including that all necessary governmental and regulatory approvals will be received as and when expected. Although the Company believes that the assumptions and factors used in preparing the forward-looking information in this news release are reasonable, undue reliance should not be placed on such information. The Company disclaims any intention or obligation to update or revise any forward-looking information, other than as required by applicable securities laws. Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.To view the source version of this press release, please visit https://www.newsfilecorp.com/release/54365ROSCAN GOLD-Aktie jetzt für 4€ handeln - auf Smartbroker.de© 2020 Newsfile Corp.Nachrichten zu ROSCAN GOLD CORPORATIONZeitAktuelle Nachrichten17:22Roscan Gold Corp: Roscan Gold drills 70 m of 3.2 g/t Au at Mankouke South17:21Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South TargetToronto, Ontario--(Newsfile Corp. - April 13, 2020) - Roscan Gold Corporation (TSXV: ROS) (FSE:2OJ) ("Roscan" or the "Company") is pleased to confirm depth continuity in mineralization and positive...► Artikel lesen17:10Roscan Gold Corp: Roscan Gold to resume at 8:45 a.m. PT15:46Roscan Gold Corp: Roscan Gold halted at 6:36 a.m. PT31.03.Roscan Gold Corp: Roscan holders approve all items at AGMFirmen im Artikel5-Tage-ChartROSCAN GOLD Unternehmen / AktienKurs%ROSCAN GOLD CORPORATION0,114+2,70 %Sie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.612.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetra-OrderbuchAd hoc-MitteilungenNachrichten BörsenAktien-EmpfehlungenBranchenMedienNachrichten-ArchivRSS-News von FinanzNachrichten.dePresseImpressum | AGB | Disclaimer | DatenschutzMediadaten
Roscan Gold Intersects 3.20 gpt Gold over 70m and Confirms Depth Continuity to 120m at Mankouke South Target
Roscan Gold Intersects 3.20 gpt Gold 70m Confirms Depth Continuity 120m Mankouke South TargetAnzeigeMehr StartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hocMitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur und WirtschaftsnewsMarktberichteEmpfehlungsbersichtAlle AktienempfehlungenChartanalysenIPONewsTermineThemenDossiersIndizesbersicht nach IndizesMrktenDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtMedienMedienbersichtArchivErweiterte SucheAktienkurseAktienkurseRealtimeAktienkursliste LSOnlineBrokerVergleichXETRAOrderbuchbersichtXETRAOrderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtBau InfrastrukurBekleidung TextilBiotechnologieChemieDienstleistungenEisen StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetrnkeTabakHalbleiterHandelHardwareHolz PapierImmobilienInternetITDienstleistungenKonsumgterKosmetikKunststoffeLogistik TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel AgrarNetzwerktechniklGasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowhrungenWatchlistWatchlist anlegenWas bringt eine NachrichtenWatchlist?Montag, 13.04.2020 Brsentglich ber 12.000 News von 627 internationalen MedienErweiterteSucheIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:AktienNachrichtenROSCAN GOLD AKTIERoscan Gold Intersects 3.20 gpt Gold 70m Confirms Depth Continuity 120m Mankouke South TargetFN als StartseiteROSCAN GOLD CORPORATIONWKN: A2N609ISIN: CA77683B1076TickerSymbol: 2OJFrankfurt09.04.2008:11Uhr0,114Euro0,0032,70 NachrichtenAnalysenKurseChartBrancheRohstoffeAktienmarktSonstige1JahresChart 5TageChart RealtimeGeldBriefZeit0,0960,12309.04.Newsfile13.04.2020 17:21104 LeserArtikel bewerten:0Roscan Gold Intersects 3.20 gpt Gold 70m Confirms Depth Continuity 120m Mankouke South TargetToronto, OntarioNewsfile Corp. April 13, 2020 Roscan Gold Corporation TSXV: ROS FSE:2OJ Roscan Company pleased confirm depth continuity mineralization positive DDH RC drill results Figure 1 additional 20 holes totaling 2,315 metres Mankouke South Target, AC drilling begun Kandiole West arrival second drill.The drill program extended depth Southern Mankouke Target 80m February 2020 currently 120m Figure 2. Additionally, drillhole DDMan2025 ended mineralization 40.7gpt 1.5m 143.7m depth Figure 3. The second drill Kandiole West began drilling 8km B2Golds Fekola Mine completed 50 AC holes, currently awaiting batch assay results.Highlights Mankouke South Target:3.20 gpt gold 70.0m drill hole DDMan2027 29.2m;luding 9.19 gpt gold 15.0m 29.2m5.75 gpt gold 22.0m drill hole DDMan2026 20.2m;luding 36.5 gpt gold 3.0m 24.2m5.80 gpt gold 10.0m drill hole DDMan2025 21.2m;luding 23.0 gpt gold 2.0m 29.2m1.93 gpt gold 12.0m drill hole DDMan2025 122.2m;18.6 gpt gold 3.5m drill hole DDMan2025 140.2m;luding 40.7 gpt gold 1.50m 142.2m Hole ended mineralization drilling issues3.66 gpt gold 25.0m drill hole DDMan2024 19.2m;luding 5.92 gpt gold 8.0m 19.2m1.60 gpt gold 19.0m drill hole DDMan2024 72.2m;9.69 gpt gold 7.0m drill hole RCMan2010 70.0m;luding 13.3 gpt gold 5.0m 71.0m5.69 gpt gold 7.0m drill hole RCMan2010 87.0m;luding 17.4 gpt gold 2.0m 87.0m2.74gpt gold 26.0m drill hole RCMan2010 108.0m;Notes: 1: True width determined, 2: Table 1 Assay Highlights, 3: 0.5gpt cutoff 4: No topcut5. Holes dip 50 azimuth 270Nana Sangmuah, President CEO, stated, Safety remains priority I happy advise, that, time, cases COVID19 virus. We pleased rapid exploration success achieved 2020, highgrade intersections 80m120m depth deepest hole date DDMan2025 ending high grade gold mineralization. The geological potential project clearly demonstrated and, round drilling, confirmed depth extension. Based current dataset appears slight northern plunge similar deposits surrounding area. The second drill Kandiole West Target 8km east Fekola Mine.Figure 1: Plan View delineating high grades Mankouke SouthTo view enhanced version graphic, visit: 2: Longitudinal View Mankouke South Depicting Depth Continuity Diamond Drilling HolesTo view enhanced version graphic, visit: 3: Cross Section depicting Depth Continuity DDMan2025 EOH 143.7m 40.7gptTo view enhanced version graphic, visit: South remains open depth, continue drill deeper holesMankouke South remains open North continue drill increase strike length future drillingWe currently conducting modeling exercises holes better understand geological modelWe implemented stringent health measures mitigate COVID19 virus continue work surrounding communitiesExploration impacted date COVID19 virus Kandiole West KW Regional AC Drilling Exploration ProgramCompleted 50 AC Holes 1,719m 3 fence lines second drillSamples sent assay laboratoryThis zone located approximately 8km East Fekola Mine B2GoldCurrent planned exploration drill program comprises 122 holes 6,100mWe intersected fresh rock tested phase drillingCommenced 2 shifts dayBulldozer cleared Kandiole West Target drillingThe gold mineralization Mankouke South associated quartz veining andor disseminated stringer pyrite hosted brecciated locally sheared greywackes mudstones underlain interbedded limestones mudstones Kofi Formation located approximately 25km east Fekola B2Gold Corp.. This mineralization structurally aligned Mankouke South mineralization occurs structural corridor hosts Siribaya deposits South IAMGOLD Corp., Roscans Mankouke Central prospect 7km long Mankouke Corridor Target, neighbors North Oklo Resources Ltd.. Drilling Contract Analytical ProtocolThe drilling contract awarded Target Drilling SARL employ KL9001 multipurpose ACRCDD rig Mankouke South. The AC drilling contract awarded Geodrill currently drilling Kandiole West.All drill samples sent preparation Bureau Veritas Mineral Laboratories Bamako, Mali transported Bureau Veritas analytical facility Abidjan, Ivory Coast assay atomic absorption finish gravimetric finish grades 10 gpt Au. Roscan applied industrystandard QAQC procedures program. Certified reference materials, blanks field duplicates inserted appropriate intervals.Some highlighted results July 22, 2019 Southern Mankouke Discovery Line shown below:4.50 gpt gold 16.0 metres drill hole ACMan19167;5.86 gpt gold 26.0 metres drill hole ACMan19167;3.00 gpt gold 10.0 metres drill hole ACMan19168;3.74 gpt gold 30.0 metres drill hole ACMan19168; and6.13 gpt gold 6.0 metres drill hole ACMan19166.Hold IDLine FromTo Interval mgpt AuCommentRCMAN2004137575028.0118.0900.79RCMAN200513757503.031.0280.82and38.076.0381.28including41.050.093.13RCMAN2006137565062.070.080.63RCMAN201013759505.018.0131.53and30.045.0150.49and70.077.079.69including71.076.0513.3and87.094.075.69including87.089.0217.4and108.0134.0262.74including110.0113.037.85and122.0124.029.86RCMAN2011137595021.043.0222.65including22.028.067.86RCMAN2012137605096.0106.0102.03DDMAN2022No significant IntervalDDMAN2023No significant IntervalDDMAN202413760009.214.251.57and19.244.2253.66including19.227.285.92and72.291.2191.60DDMAN2025137600021.231.2105.80including29.231.2223.0and44.249.251.58and92.2100.280.84and122.2134.2121.93and140.2143.73.518.6hole lost mineralizationincluding142.2143.71.540.7bit change difficult groundDDMAN202613759006.215.290.92and20.242.2225.75including24.227.2336.5and75.283.280.83DDMAN202713758001.224.2231.01and29.299.2703.20including29.244.2159.19Table 1: Drillhole Highlights Mankouke South Apr. 2020Qualified Person QP NI43101 Disclosure;Greg Isenor, P. Geo., Executive ViceChairman Company, designated Qualified Person news release meaning National Instrument 43101 NI 43101 reviewed verified technical information contained accurate approves written disclosure same.About RoscanRoscan Gold Corporation Canadian gold exploration company focused exploration acquisition gold properties West Africa. The Company assembled significant land position 100owned permits area producing gold mines including B2 Golds Fekola Mine lies contiguous property west Kandiole, major gold deposits, located north south Kandiole Project West Mali.For information, contact: Andrew J. RamcharanExecutive Vice President Corporate Development Investor RelationsTel: 416 5722295Email: aramcharan IsenorExecutive ViceChairmanTel: 902 8325555Email: gpisenor Looking Statements This news release contains forwardlooking information comprised historical facts. Forwardlooking information characterized words plan, expect, project, intend, believe, anticipate, estimate similar words, statements certain events conditions occur. Forwardlooking information involves risks, uncertainties factors cause actual events, results, opportunities differ materially expressed implied forwardlooking information. Factors cause actual results differ materially forwardlooking information include, limited to, changes state equity debt markets, fluctuations commodity prices, delays obtaining required regulatory governmental approvals, risks involved mineral exploration development industry, including risks set Companys managements discussion analysis filed Companys profile Forwardlooking information news release based opinions assumptions management considered reasonable date hereof, including necessary governmental regulatory approvals received expected. Although Company believes assumptions factors preparing forwardlooking information news release reasonable, undue reliance placed information. The Company disclaims intention obligation update revise forwardlooking information, required applicable securities laws. Neither TSX Venture Exchange Regulation Services Provider term defined policies TSX Venture Exchange accepts responsibility adequacy accuracy release.To view source version press release, visit GOLDAktie jetzt fr 4 handeln auf Smartbroker.de2020Newsfile Corp.Nachrichten zu ROSCAN GOLD CORPORATIONZeitAktuelle Nachrichten17:22Roscan Gold Corp: Roscan Gold drills 70 3.2 gt Au Mankouke South17:21Roscan Gold Intersects 3.20 gpt Gold 70m Confirms Depth Continuity 120m Mankouke South TargetToronto, OntarioNewsfile Corp. April 13, 2020 Roscan Gold Corporation TSXV: ROS FSE:2OJ Roscan Company pleased confirm depth continuity mineralization positive... Artikel lesen17:10Roscan Gold Corp: Roscan Gold resume 8:45 a.m. PT15:46Roscan Gold Corp: Roscan Gold halted 6:36 a.m. PT31.03.Roscan Gold Corp: Roscan holders approve items AGMFirmen im Artikel5TageChartROSCAN GOLD Unternehmen AktienKursROSCAN GOLD CORPORATION0,1142,70Sie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.612.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetraOrderbuchAd hocMitteilungenNachrichten BrsenAktienEmpfehlungenBranchenMedienNachrichtenArchivRSSNews von FinanzNachrichten.dePresseImpressum AGB Disclaimer DatenschutzMediadaten
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https://coleofduty.com/market-reports/2020/06/25/artificial-intelligence-in-education-market-projected-to-witness-vigorous-expansion-by-2025/
2020-06-25T00:00:00
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Artificial Intelligence in Education Market Projected to Witness Vigorous Expansion by 2025 – Cole Reports
Artificial Intelligence in Education Market Projected to Witness Vigorous Expansion by 2025 – Cole Reports Skip to the content Search Cole ReportsCole Market Research Menu About Us Privacy Policy Our Staff Contact Us Search Search for: Close search Close Menu About Us Privacy Policy Our Staff Contact Us Categories Market Reports Artificial Intelligence in Education Market Projected to Witness Vigorous Expansion by 2025 Post author By [email protected] Post date June 25, 2020 Global Artificial Intelligence in Education Market: Snapshot The global artificial intelligence and education Market is significantly driven by the integration of intelligent algorithms as well as Advanced Technologies in to e-learning platforms. Education software, machine learning, and artificial intelligence are some of the Innovative learning models and Technologies change the rules and creating tremendous shift from the teaching methods. These technologies have completely transformed with a classroom. The sophistication level has increased tremendously with the increasing adoption of artificial intelligence and machine learning algorithms. These Technologies are becoming extremely useful for developing user-friendly decision support systems and used in knowledge acquisition applications, language translation, and information retrieval. Get Exclusive PDF Sample Copy Of This Report: https://www.tmrresearch.com/sample/sample?flag=B&rep_id=3461 The high adoption of cloud services among education institutes today is also creating a favorable environment for the artificial intelligence in education market. Higher education institutes, faculties, facilitators, Educators, and students in schools are increasingly making use of artificial intelligence and education so as to improve the overall learning experience as well as productivity. The use of cloud services helps in the reduction of cost of ownership for educational Institutes and this helps them to offer high-quality Education Without much cost. Universities and schools are able to adopt cloud computing without having the need to upgrade the existing infrastructure with Advanced Technologies. On the other hand, there are a few factors that will restrain the market from reaching its truest potential. One of the key challenges faced by the AI in education market is the resistance towards adopting latest technology by various schools. Many colleges and schools simply stick to orthodox ways of teaching. This will  act as a challenge for the market. Global Artificial Intelligence in Education Market: Overview The report details an exhaustive account of the global artificial intelligence in education market along with numerous associated factors. The factors included in the report are drivers, restraints, competitive analysis, latest trends and opportunities, geographical outlook, and many other aspects. The study covered in the report spans a forecast period from 2017 to 2025. From an overall perspective, the report is expected to exist as a valuable insight to businesses which are already operating in the market, as well for those who intend to newly establish themselves in this environment. The global artificial intelligence in education market is mainly segmented on the basis of technology, application, component, deployment mode, end user, and region. Under technology, machine learning and deep learning, and natural language processing are core segments comprising this market. Under application, virtual facilitators and learning environments, intelligent tutoring systems, content delivery systems, fraud and risk management, and others, are key segments present in the global artificial intelligence in education market. By component, solutions and services are two main segments, which are further subdivided into other sub-segments that are explained in detail the report. On the basis of deployment mode, the global artificial intelligence market consists of two segments: cloud and on-premises. Lastly, under end-user criteria, the global artificial intelligence in education market is mainly segmented into educational publishers, and educational institutes. Buy This Report @ https://www.tmrresearch.com/checkout?rep_id=3461&ltype=S Global Artificial Intelligence in Education Market: Drivers A dire need for highly efficient and automated services in terms of providing educational material is primarily responsible for driving this market. Such a need is relevant especially with respect to online education or distant learning, wherein a user needs to rely on modern devices for efficient communication. Favorable initiatives from various governments to spread educational awareness are also indirectly responsible for the global artificial intelligence in education market to experience widespread growth. A phenomenal progress in the development of computers as well as internet facilities has been primarily responsible for connecting people from all corners of the Earth, thus driving the global artificial intelligence education market. Another factor propelling growth in this market involves the inability of students and scholars to not go overseas and learn their desired subject. This makes them consider the option of distant learning, which of course can be facilitated from an online perspective. As online learning brings in the factor of automated machines up to a certain extent, the market is expected to grow with leaps and bounds in future. Global Artificial Intelligence in Education Market: Geographical Outlook This market is mainly spread across North America, South America, the Middle East and Africa, Asia Pacific, and Europe. Presence of a strong educational infrastructure as well as technological stronghold in North America and Europe makes these regions grab lion’s shares in the global artificial intelligence in education market. Extensive advancements are occurring in these regions in the field of artificial intelligence, which has been notably contributing towards rapid progress in educational sector. Global Artificial Intelligence in Education Market: Competitive Landscape A highly competitive environment characterizes this market, mainly due to the presence of innumerable players. The competition is expected to intensify even further as new companies are projected to enter the vendor landscape of the global artificial intelligence in education market on a regular basis in future. Most players are focusing on including more services, bringing forth geographical expansions, and focusing on delivering quality educational content. Nuance Communications, IBM, Querium Corporation, Century-Tech, DreamBox Learning, Fishtree, ALEKS, Knewton, Metacog, Google, AWS, Cognizant, Bridge-U, Cognii, Blackboard, Elemental Path, Jellynote, Liulishuo, Carnegie Learning, Osmo, Pearson, Microsoft, Third Space Learning, Jenzabar, and Quantum Adaptive Learning, are key players operating in the global artificial intelligence in education market. To know more about the table of contents, you can click @ https://www.tmrresearch.com/sample/sample?flag=T&rep_id=3461 About TMR Research TMR Research is a premier provider of customized market research and consulting services to busi-ness entities keen on succeeding in today’s supercharged economic climate. Armed with an experi-enced, dedicated, and dynamic team of analysts, we are redefining the way our clients’ conduct business by providing them with authoritative and trusted research studies in tune with the latest methodologies and market trends. ← Botnet Detection Market to Register Unwavering Growth During 2025 → Water Taxi Market to Record Ascending Growth by 2025 Search for: Recent Posts Marine Radar Market to Witness Increase in Revenues by 2025 Water Taxi Market to Record Ascending Growth by 2025 Artificial Intelligence in Education Market Projected to Witness Vigorous Expansion by 2025 Botnet Detection Market to Register Unwavering Growth During 2025 Corporate Learning Management System Market Projected to be Resilient During 2025 About Us Privacy Policy Our Staff Contact Us © 2020 Cole Reports Powered by WordPress To the top ↑ Up ↑
Artificial Intelligence in Education Market Projected to Witness Vigorous Expansion by 2025
Artificial Intelligence Education Market Projected Witness Vigorous Expansion 2025 Cole Reports Skip content Cole ReportsCole Market Research Menu Our Staff Us for: Close search Close Menu Our Staff Us Categories Market Reports Artificial Intelligence Education Market Projected Witness Vigorous Expansion 2025 Post author By [emailprotected] Post date June 25, 2020 Global Artificial Intelligence Education Market: Snapshot The global artificial intelligence education Market significantly driven integration intelligent algorithms Advanced Technologies elearning platforms. Education software, machine learning, artificial intelligence Innovative learning models Technologies change rules creating tremendous shift teaching methods. These technologies completely transformed classroom. The sophistication level increased tremendously increasing adoption artificial intelligence machine learning algorithms. These Technologies extremely useful developing userfriendly decision support systems knowledge acquisition applications, language translation, information retrieval. Get Exclusive PDF Sample Copy Of This Report: The high adoption cloud services education institutes today creating favorable environment artificial intelligence education market. Higher education institutes, faculties, facilitators, Educators, students schools increasingly making use artificial intelligence education improve overall learning experience productivity. The use cloud services helps reduction cost ownership educational Institutes helps offer highquality Education Without cost. Universities schools able adopt cloud computing need upgrade existing infrastructure Advanced Technologies. On hand, factors restrain market reaching truest potential. One key challenges faced AI education market resistance adopting latest technology schools. Many colleges schools simply stick orthodox ways teaching. This act challenge market. Global Artificial Intelligence Education Market: Overview The report details exhaustive account global artificial intelligence education market numerous associated factors. The factors included report drivers, restraints, competitive analysis, latest trends opportunities, geographical outlook, aspects. The study covered report spans forecast period 2017 2025. From overall perspective, report expected exist valuable insight businesses operating market, intend newly establish environment. The global artificial intelligence education market mainly segmented basis technology, application, component, deployment mode, end user, region. Under technology, machine learning deep learning, natural language processing core segments comprising market. Under application, virtual facilitators learning environments, intelligent tutoring systems, content delivery systems, fraud risk management, others, key segments present global artificial intelligence education market. By component, solutions services main segments, subdivided subsegments explained report. On basis deployment mode, global artificial intelligence market consists segments: cloud onpremises. Lastly, enduser criteria, global artificial intelligence education market mainly segmented educational publishers, educational institutes. Buy This Report @ Global Artificial Intelligence Education Market: Drivers A dire need highly efficient automated services terms providing educational material primarily responsible driving market. Such need relevant especially respect online education distant learning, user needs rely modern devices efficient communication. Favorable initiatives governments spread educational awareness indirectly responsible global artificial intelligence education market experience widespread growth. A phenomenal progress development computers internet facilities primarily responsible connecting people corners Earth, driving global artificial intelligence education market. Another factor propelling growth market involves inability students scholars overseas learn desired subject. This makes consider option distant learning, course facilitated online perspective. As online learning brings factor automated machines certain extent, market expected grow leaps bounds future. Global Artificial Intelligence Education Market: Geographical Outlook This market mainly spread North America, South America, Middle East Africa, Asia Pacific, Europe. Presence strong educational infrastructure technological stronghold North America Europe makes regions grab lions shares global artificial intelligence education market. Extensive advancements occurring regions field artificial intelligence, notably contributing rapid progress educational sector. Global Artificial Intelligence Education Market: Competitive Landscape A highly competitive environment characterizes market, mainly presence innumerable players. The competition expected intensify new companies projected enter vendor landscape global artificial intelligence education market regular basis future. Most players focusing including services, bringing forth geographical expansions, focusing delivering quality educational content. Nuance Communications, IBM, Querium Corporation, CenturyTech, DreamBox Learning, Fishtree, ALEKS, Knewton, Metacog, Google, AWS, Cognizant, BridgeU, Cognii, Blackboard, Elemental Path, Jellynote, Liulishuo, Carnegie Learning, Osmo, Pearson, Microsoft, Third Space Learning, Jenzabar, Quantum Adaptive Learning, key players operating global artificial intelligence education market. To know table contents, click @ About TMR Research TMR Research premier provider customized market research consulting services business entities keen succeeding todays supercharged economic climate. Armed experienced, dedicated, dynamic team analysts, redefining way clients conduct business providing authoritative trusted research studies tune latest methodologies market trends. Botnet Detection Market Unwavering Growth During 2025 Water Taxi Market Record Ascending Growth 2025 for: Recent Posts Marine Radar Market Witness rease Revenues 2025 Water Taxi Market Record Ascending Growth 2025 Artificial Intelligence Education Market Projected Witness Vigorous Expansion 2025 Botnet Detection Market Unwavering Growth During 2025 Corporate Learning Management System Market Projected Resilient During 2025 Our Staff Us 2020 Cole Reports Powered WordPress To Up
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https://honestversion.com/2020/03/19/advance-soft-tissue-repair-market/
2020-03-19T00:00:00
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Advance Soft Tissue Repair Market to Grow at a Steady CAGR 2019-2025; Stryker Corporation, Arthrex Inc, C.R. Bard Inc – Honest Version
Advance Soft Tissue Repair Market to Grow at a Steady CAGR 2019-2025; Stryker Corporation, Arthrex Inc, C.R. Bard Inc – Honest Version Skip to content Menu HOME About Us Contact Honest Version Advance Soft Tissue Repair Market to Grow at a Steady CAGR 2019-2025; Stryker Corporation, Arthrex Inc, C.R. Bard Inc Alex Martin - March 19, 2020 - Healthcare Crystal Market Research has added the report on Soft Tissue Repair Market for the forecast till 2025, the report comprises of the estimation of the global Soft Tissue Repair Market. The following Industry is shown to progress with a noteworthy rise in the Compound Annual Growth Rate (CAGR) during the forecasted period owing to various factors driving the market. The Soft Tissue Repair report provides the data related to the market segmentation, regional outlook, market trends, regional outlook, and competitive outlook. Get Sample Report Copy @ https://www.crystalmarketresearch.com/report-sample/HC12415 The study of the Soft Tissue Repair report is done based on the noteworthy research methodology that provides the analytical inspection of the global market based on various segments the market is divided into also the summary and latest size of the market owing to the various outlook possibilities. The report also gives information about the key players of the Soft Tissue Repair Industry by different features that include the Soft Tissue Repair overview of the companies, the portfolio of the product and also the revenue facts from the foreseen period. Segmentation by Key Players: Stryker Corporation Arthrex Inc C.R. Bard Inc Integra LifeScience Corporation Smith & Nephew plc. and Depuy Synthes. Major Types: Type 1 Type 2 Type 3 Majot Applications: Orthopedic Surgery Breast Reconstruction Hernia Repair Skin Repair Vaginal Sling Repair Cardiovascular Surgery Dental Reconstruction Other Applications Regional Overview: The report gives an overview of the Soft Tissue Repair Market mainly in the regions of North America, Europe, Asia-Pacific, South America and the Middle East and Africa. Report Highlights: 1. Soft Tissue Repair business report produces value for global level playing competition, which delivers the same position for both the existing giants as well as the new entrees. 2. This report will give you the overall outlook of the entire Soft Tissue Repair Industry helps in improving your knowledge. 3. It prepares you a go-to-market strategy to improve Soft Tissue Repair organizations among other competitors which makes it completely a helpful research report. 4. Soft Tissue Repair Reports helps you to understand the present scenario of the Industry as the report offers past data regarding the market space and makes future projections. 5. You not only get a look at the customized Soft Tissue Repair industry segments according to geographical regions but also country or even different manufacturers in the market. Get Exclusive Discount @ https://www.crystalmarketresearch.com/check-discount/HC12415 Contacts Us Judy | 304 South Jones Blvd, Suite 1896, Las Vegas NV 89107, United States E-mail: [email protected] | Ph: +1-888-213-4282 Post Views: 123 Tagged Soft Tissue Repair, Soft Tissue Repair -2019, Soft Tissue Repair Market, Soft Tissue Repair Market Forecast to -2019, Soft Tissue Repair Market Growth, Soft Tissue Repair Market Segmentation, Soft Tissue Repair Market Size, Soft Tissue Repair Market Status, Soft Tissue Repair Market Trend, Soft Tissue Repair Trend Market Post navigation Previous PostPrevious Global Intelligent Transportation System (ITS) Market Research Report 2022; Q-Free, Iteris Inc Market Talk News Copyright © 2020 Honest Version - Powered by FilaThemes
Advance Soft Tissue Repair Market to Grow at a Steady CAGR 2019-2025; Stryker Corporation, Arthrex Inc, C.R. Bard Inc
Advance Soft Tissue Repair Market Grow Steady CAGR 20192025; Stryker Corporation, Arthrex , C.R. Bard Honest Version Skip content Menu HOME Honest Version Advance Soft Tissue Repair Market Grow Steady CAGR 20192025; Stryker Corporation, Arthrex , C.R. Bard Alex Martin March 19, 2020 Healthcare Crystal Market Research added report Soft Tissue Repair Market forecast till 2025, report comprises estimation global Soft Tissue Repair Market. The following Industry shown progress noteworthy rise Compound Annual Growth Rate CAGR forecasted period owing factors driving market. The Soft Tissue Repair report provides data related market segmentation, regional outlook, market trends, regional outlook, competitive outlook. Get Sample Report Copy @ The study Soft Tissue Repair report based noteworthy research methodology provides analytical inspection global market based segments market divided summary latest size market owing outlook possibilities. The report gives information key players Soft Tissue Repair Industry different features include Soft Tissue Repair overview companies, portfolio product revenue facts foreseen period. Segmentation Key Players: Stryker Corporation Arthrex C.R. Bard Integra LifeScience Corporation Smith Nephew plc. Depuy Synthes. Major Types: Type 1 Type 2 Type 3 Majot Applications: Orthopedic Surgery Breast Reconstruction Hernia Repair Skin Repair Vaginal Sling Repair Cardiovascular Surgery Dental Reconstruction Other Applications Regional Overview: The report gives overview Soft Tissue Repair Market mainly regions North America, Europe, AsiaPacific, South America Middle East Africa. Report Highlights: 1. Soft Tissue Repair business report produces value global level playing competition, delivers position existing giants new entrees. 2. This report overall outlook entire Soft Tissue Repair Industry helps improving knowledge. 3. It prepares gotomarket strategy improve Soft Tissue Repair organizations competitors makes completely helpful research report. 4. Soft Tissue Repair Reports helps understand present scenario Industry report offers past data market space makes future projections. 5. You look customized Soft Tissue Repair industry segments according geographical regions country different manufacturers market. Get Exclusive Discount@ Us Judy 304 South Jones Blvd, Suite 1896, Las Vegas NV 89107, United States Email: [emailprotected] Ph: 18882134282 Post Views: 123 Tagged Soft Tissue Repair, Soft Tissue Repair 2019, Soft Tissue Repair Market, Soft Tissue Repair Market Forecast 2019, Soft Tissue Repair Market Growth, Soft Tissue Repair Market Segmentation, Soft Tissue Repair Market Size, Soft Tissue Repair Market Status, Soft Tissue Repair Market Trend, Soft Tissue Repair Trend Market Post navigation Previous PostPrevious Global Intelligent Transportation System ITS Market Research Report 2022; QFree, Iteris Market Talk News 2020 Honest Version Powered FilaThemes
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https://www.beaumontenterprise.com/news/article/Dissident-Ai-Wei-Wei-Hong-Kong-anthem-law-almost-15319430.php
2020-06-05T00:00:00
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Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' - Beaumont Enterprise
Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' - Beaumont Enterprise Sign In Register Subscribe Subscriber Services Home Subscribe Subscriber Services Subscriber Services Vacation Hold Report a problem eEdition Business Directory Submit News About Us About Us Become a distributor Customer Care Contact Us Advertising Advertising Place an ad Our Partners Our Partners VIP Magazine Hardin County News Jasper Newsboy Lakecaster Southeasttexas Classifieds Archives Careers Local Were you 'Seen'? 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Health officials urge coronavirus precautions during protests Photos: Port Arthur rally calls for action https://www.beaumontenterprise.com/news/article/Dissident-Ai-Wei-Wei-Hong-Kong-anthem-law-almost-15319430.php Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' James Brooks, Associated Press Updated 9:43 am CDT, Friday, June 5, 2020 In this image made from a Skype video interview with Chinese artist dissident Ai Weiwei comments on the recent security law planned for Hong kong from a location in Cambridge, England, Wednesday, May 27, 2020. Ai Weiwei believes the newly passed national security law for Hong Kong augurs the end for the semi-autonomous city. less In this image made from a Skype video interview with Chinese artist dissident Ai Weiwei comments on the recent security law planned for Hong kong from a location in Cambridge, England, Wednesday, May 27, 2020. ... more Photo: Park Juwon, AP Photo: Park Juwon, AP Image 1 of / 1 Caption Close Image 1 of 1 In this image made from a Skype video interview with Chinese artist dissident Ai Weiwei comments on the recent security law planned for Hong kong from a location in Cambridge, England, Wednesday, May 27, 2020. Ai Weiwei believes the newly passed national security law for Hong Kong augurs the end for the semi-autonomous city. less In this image made from a Skype video interview with Chinese artist dissident Ai Weiwei comments on the recent security law planned for Hong kong from a location in Cambridge, England, Wednesday, May 27, 2020. ... more Photo: Park Juwon, AP Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' 1  /  1 Back to Gallery CAMBRIDGE, England (AP) — Chinese dissident artist Ai Weiwei has described as almost “medieval” a new law in Hong Kong that criminalizes disrespecting China’s national anthem. Hong Kong’s legislature approved a contentious bill Thursday that makes it illegal to insult the Chinese national anthem. Those found guilty of intentionally abusing the “March of the Volunteers” face up to three years in prison and a fine of up to 50,000 Hong Kong dollars ($6,450). “It’s almost like a medieval law,” Ai said Friday in an interview with the Associated Press in Cambridge, England. “You know, you have to be brainwashed and then you have no chance to express your own feelings or to make your own choice.” Ai also criticized a separate national security law that China’s ceremonial legislature has approved for Hong Kong, saying the move — which circumvented the semi-autonomous territory’s own legislature — augurs the end for the city. “China will establish its own so-called national security law, which will be (the) end of Hong Kong and will finish Hong Kong as a free, autonomous, independent system,” said the artist. Ai joins other critics around the world who have expressed worry over Beijing’s tightening grip over Hong Kong, which is governed under a “One Country, Two Systems” framework that guaranteed it a high degree of autonomy and civil rights when the former British colony returned to Chinese rule in 1997. Beijing's national security law, which is set to outlaw acts of secession, subversion, terrorism and foreign interference in the city, follows many months of often-violent pro-democracy protests in Hong Kong. Ai was arrested at Beijing’s airport in April 2011 and held for 81 days without explanation during a wider crackdown on dissent that coincided with the international ferment of the Arab Spring. Commenting on protests around the globe following the death of George Floyd, Ai praised the protesters and said it reflected deep political problems around the world. “People always want to say: ‘Okay, that’s just a race problem, it’s Black Lives Matter.’ I don’t think so, I think this is much deeper, reflects a much broader political problem and the people will react from all directions when they are not satisfied with this condition,” he said. Were you 'Seen' Were you 'Seen' at Taste of the Triangle? Were you 'Seen' at Mardi Gras? Were you 'Seen' at the Aurora Ball? Were you 'Seen' at The Art Studio Inc.? The Latest GOP senator 'struggling' with supporting Trump 1.9M seek jobless aid even as reopenings slow layoffs Details released for George Floyd memorial and funeral services Celebs sign open letter to defund police SpaceX's historic encore: Astronauts arrive at space station 3 popular series renewed, but when will they return? 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Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval'
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Health officials urge coronavirus precautions protests Photos: Port Arthur rally calls action Dissident Ai Wei Wei: Hong Kong anthem law medieval James Brooks, Associated Press Updated 9:43am CDT, Friday, June 5, 2020 In image Skype video interview Chinese artist dissident Ai Weiwei comments recent security law planned Hong kong location Cambridge, England, Wednesday, May 27, 2020. Ai Weiwei believes newly passed national security law Hong Kong augurs end semiautonomous city. In image Skype video interview Chinese artist dissident Ai Weiwei comments recent security law planned Hong kong location Cambridge, England, Wednesday, May 27, 2020. ... Photo: Park Juwon, AP Photo: Park Juwon, AP Image 1 1 Caption Close Image 1 1 In image Skype video interview Chinese artist dissident Ai Weiwei comments recent security law planned Hong kong location Cambridge, England, Wednesday, May 27, 2020. Ai Weiwei believes newly passed national security law Hong Kong augurs end semiautonomous city. In image Skype video interview Chinese artist dissident Ai Weiwei comments recent security law planned Hong kong location Cambridge, England, Wednesday, May 27, 2020. ... Photo: Park Juwon, AP Dissident Ai Wei Wei: Hong Kong anthem law medieval 1 1 Back Gallery CAMBRIDGE, England AP Chinese dissident artist Ai Weiwei described medieval new law Hong Kong criminalizes disrespecting Chinas national anthem. Hong Kongs legislature approved contentious Thursday makes illegal insult Chinese national anthem. Those guilty intentionally abusing March Volunteers face years prison fine 50,000 Hong Kong dollars 6,450. Its like medieval law, Ai said Friday interview Associated Press Cambridge, England. You know, brainwashed chance express feelings choice. Ai criticized separate national security law Chinas ceremonial legislature approved Hong Kong, saying circumvented semiautonomous territorys legislature augurs end city. China establish socalled national security law, end Hong Kong finish Hong Kong free, autonomous, independent system, said artist. Ai joins critics world expressed worry Beijings tightening grip Hong Kong, governed One Country, Two Systems framework guaranteed high degree autonomy civil rights British colony returned Chinese rule 1997. Beijings national security law, set outlaw acts secession, subversion, terrorism foreign interference city, follows months oftenviolent prodemocracy protests Hong Kong. Ai arrested Beijings airport April 2011 held 81 days explanation wider crackdown dissent coincided international ferment Arab Spring. Commenting protests globe following death George Floyd, Ai praised protesters said reflected deep political problems world. People want say: Okay, thats race problem, Black Lives Matter. I dont think so, I think deeper, reflects broader political problem people react directions satisfied condition, said. Were Seen Were Seen Taste Triangle? 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Know How Artificial intelligence in fashion tech Market Is Thriving Continuously By Top Key Players boohoo.com, River Island, Macys.com, LLC, H&M, LLC, Shrimps, Wayfair – Bandera County Courier
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Contact Us: The Research Corporation William K (Sales Manager) 1632 1st Avenue, New York, NY 10028, USA +1 929 299 7373 [email protected] https://www.theresearchcorporation.com/ TagsArtificial Intelligence in Fashion Tech Market Artificial Intelligence in Fashion Tech Market Growth Artificial intelligence in fashion tech Market overview Artificial intelligence in fashion tech Market size Artificial intelligence in fashion techMarket trend Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print trc Related Articles February 27, 2020 3 Food Delivery Software Market Is Booming in Forthcoming Year with Top Key Players Like BigTree Solutions, eDelivery, Flipdish, Livedispatcher, NetWaiter, Naxtech February 26, 2020 1 Huge Outlay on Utility LTE Platforms Market 2027 Detailed Analysis & Focusing on Key Leaders Nokia, Sequans, ZTE and more February 26, 2020 17 Flourishing demand of Vegetable Entersoluble Capsule Market Size Over 2019-2029, with CytoSorbents Corporation, Fresenius Medical Care, Spectral Medical, Baxter International February 26, 2020 5 Explore Why SAP Digital Services Ecosystem Market 2020 Thriving Worldwide – Profiling Global Players: Accenture, International Business Machines, etc Recent Posts Health Pain Management EMR Software Market to Perceive Substantial Growth During 2020 to 2027 | Top Key Vendors like AdvancedMD, DrChrono, NXGN Management LLC, athenahealth February 28, 2020 Technology  Intent Based Networking Market to Undertake Strapping Growth by the End 2027 | Cisco Systems, Inc., Apstra, Veriflow Systems, Huawei Technologies Co.Ltd., Juniper Networks February 28, 2020 Business Geology and Seismic Software Market to Perceive Substantial Growth During 2020 to 2027 | Top Key Vendors like  Golden Software, gINT, Petrel E&P, OpendTect, SeisEarth, GeoThrust February 28, 2020 Technology Cloud Application Development Services Market to Perceive Substantial Growth During 2020 to 2027 | Top Key Vendors like E-Zest, PayScale, Accenture, IBM, Computaris, Microsoft Azure February 28, 2020 Business Boat Insurance Market Size will escalate rapidly in the Near Future with Top Key Players like GEICO, Allianz, State Farm, Farmers Insurance, MetLife, Westfield February 28, 2020 Technology Blockchain Testing Service Market 2020- 2027 Release involving the strapping key players Cigniti, Augusta HiTech, TestFort, QualiTest, TestingXperts  February 28, 2020 Health Big Boom HEARING AIDS Market over 2020-2027 with Sonova, William Demant, Gn Store Nord, Cochlear, Sivantos February 28, 2020 Business DM in Automotive Market Report Growth By 2027 With Latest Technology & Future Scope | Autodesk, Dassault Syst?mes, Siemens PLM Software, Bentley Systems February 28, 2020 Business Alternative Online Payment Market Opportunities, Growth and Forecasting for next Upcoming Year 2027: Alphabet, Amazon Payments Inc, Ant Financial Services Group  February 28, 2020 Business Expanding Growth Of Game Headphone Market by with Major Players include: HyperX, Sennheiser, ASTRO, SteelSeries, Creative Sound, Logitech, Sentey February 28, 2020 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Know How Artificial intelligence in fashion tech Market Is Thriving Continuously By Top Key Players boohoo.com, River Island, Macys.com, LLC, H&M, LLC, Shrimps, Wayfair
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FabulousFurs, Monki Style, Forever21 ., Next Retail Ltd., Zara SA Regional Analysis For Artificial intelligence fashion tech Market: The report gives detailed information market regionwise categorizes different levels.Regional segment investigation displaying regional production size, consumption figure, revenue, growth rate 20202027 covers: Americas United States, Canada, Mexico, Brazil, Europe Spain, France, UK, Italy, Russia, Germany , APAC China, Japan, Korea, Southeast Asia, India, Australia, Middle East Africa Egypt, South Africa, Israel, Turkey, GCC Countries Inquire detailed information Report@ Why buy Report, major Key Points: Deep Review Artificial intelligence fashion tech Market Changing business sector elements business Indepth market segmentation Type, Application etc. Historical, current anticipated market size far volume worth Recent industry patterns improvements Competitive scenario Artificial intelligence fashion tech Market Strategies key players item contributions Get Discount Report: Artificial intelligence fashion tech Market research report likewise introduces huge practical oriented case studies help comprehend topic clearly. 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Us: The Research Corporation William K Sales Manager 1632 1st Avenue, New York, NY 10028, USA 1 929 299 7373 sales TagsArtificial Intelligence Fashion Tech Market Artificial Intelligence Fashion Tech Market Growth Artificial intelligence fashion tech Market overview Artificial intelligence fashion tech Market size Artificial intelligence fashion techMarket trend Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print trc Related Articles February 27, 2020 3 Food Delivery Software Market Is Booming Forthcoming Year Top Key Players Like BigTree Solutions, eDelivery, Flipdish, Livedispatcher, NetWaiter, Naxtech February 26, 2020 1 Huge Outlay Utility LTE Platforms Market 2027 Detailed Analysis Focusing Key Leaders Nokia, Sequans, ZTE February 26, 2020 17 Flourishing demand Vegetable Entersoluble Capsule Market Size Over 20192029, CytoSorbents Corporation, Fresenius Medical Care, Spectral Medical, Baxter International February 26, 2020 5 Explore Why SAP Digital Services Ecosystem Market 2020 Thriving Worldwide Profiling Global Players: Accenture, International Business Machines, Recent Posts Health Pain Management EMR Software Market Perceive Substantial Growth During 2020 2027 Top Key Vendors like AdvancedMD, DrChrono, NXGN Management LLC, athenahealth February 28, 2020 Technology Intent Based Networking Market Undertake Strapping Growth End 2027 Cisco Systems, ., Apstra, Veriflow Systems, Huawei Technologies Co.Ltd., Juniper Networks February 28, 2020 Business Geology Seismic Software Market Perceive Substantial Growth During 2020 2027 Top Key Vendors like Golden Software, gINT, Petrel EP, OpendTect, SeisEarth, GeoThrust February 28, 2020 Technology Cloud Application Development Services Market Perceive Substantial Growth During 2020 2027 Top Key Vendors like EZest, PayScale, Accenture, IBM, Computaris, Microsoft Azure February 28, 2020 Business Boat Insurance Market Size escalate rapidly Near Future Top Key Players like GEICO, Allianz, State Farm, Farmers Insurance, MetLife, Westfield February 28, 2020 Technology Blockchain Testing Service Market 2020 2027 Release involving strapping key players Cigniti, Augusta HiTech, TestFort, QualiTest, TestingXperts February 28, 2020 Health Big Boom HEARING AIDS Market 20202027 Sonova, William Demant, Gn Store Nord, Cochlear, Sivantos February 28, 2020 Business DM Automotive Market Report Growth By 2027 With Latest Technology Future Scope Autodesk, Dassault Syst?mes, Siemens PLM Software, Bentley Systems February 28, 2020 Business Alternative Online Payment Market Opportunities, Growth Forecasting Upcoming Year 2027: Alphabet, Amazon Payments , Ant Financial Services Group February 28, 2020 Business Expanding Growth Of Game Headphone Market Major Players include: HyperX, Sennheiser, ASTRO, SteelSeries, Creative Sound, Logitech, Sentey February 28, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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TechTarget Acquires Data Science Central, a Leading Online Resource for Data Scientists and Big Data Practitioners | | Consumer Electronics Net
TechTarget Acquires Data Science Central, a Leading Online Resource for Data Scientists and Big Data Practitioners | | Consumer Electronics Net Skip to content Consumer Electronics Net Primary Menu Consumer Electronics Net Search for: HomeNewsTechTarget Acquires Data Science Central, a Leading Online Resource for Data Scientists and Big Data Practitioners News TechTarget Acquires Data Science Central, a Leading Online Resource for Data Scientists and Big Data Practitioners 7 hours ago NEWTON, Mass.–(BUSINESS WIRE)–Global technology media and purchase intent-driven marketing and sales services company TechTarget, Inc. (Nasdaq: TTGT) today announced the acquisition of Data Science Central LLC, an independent digital publishing and media company focused on data science and business analytics. Data Science Central provides a wide range of information on topics including AI, advanced analytics, big data and machine learning. As an addition to TechTarget’s portfolio of market-specific media properties, Data Science Central provides rich editorial coverage, social interaction and the latest technology trends, tools and techniques to one of the largest communities of big data and data science professionals across the globe. Data Science Central generates nearly two million visits per quarter and has over 180k registered members. In addition, it has over 500k LinkedIn group members and over 370k Twitter followers. “We’re excited to see TechTarget integrate and grow Data Science Central into its extensive network,” said Tim Matteson, Co-Founder, Data Science Central. “Working together we can transform how organizations leverage AI-driven insights for competitive gain.” DataScienceCentral.com complements TechTarget’s existing portfolio of websites in the information management space, including SearchEnterpriseAI.com™, SearchDataManagement.com™ and SearchBusinessAnalytics.com™. It enhances the company’s coverage in a rapidly growing area. According to Research Dive, the global Data Science Platform market will reach $224.3 billion by the end of 2026, representing a 31% CAGR. “We anticipate significant market growth to continue in the next 1-3 years, fueled by the rapid adoption of AI, expanded availability of public cloud services, IoT and technologies to support the automation of big data processing,” said Vincent Granville, Executive Data Scientist and Co-Founder, Data Science Central. TechTarget has been covering the AI, machine learning and data science market extensively over the past few years and has witnessed a significant uptick in traffic and member activity in the past year (e.g. 2 million global activities on data science topics in 2019). One of the key objectives to integrating Data Science Central will be to continue to nurture and strengthen this high-growth area of audience interest with quality content designed to help educate buyers in this market. “The data science function is a true catalyst for driving data transformation and competitive edge for modern organizations and we are committed to serving these organizations by further enhancing our extensive coverage in this market,” said Eileen Corrigan, VP and Publisher, Information Management Markets, TechTarget. “This acquisition enables us to deliver the largest audience of data science professionals and serve the growing number of vendors seeking to engage with active buyers in the space.” For more information about this new market opportunity and to understand how enterprise technology marketing and sales teams can better leverage this audience to drive more pipeline and revenue, contact Eileen Corrigan. About TechTarget TechTarget (Nasdaq: TTGT) is the global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget attracts and nurtures communities of technology buyers researching their companies’ information technology needs. By understanding these buyers’ content consumption behaviors, TechTarget creates the purchase intent insights that fuel efficient and effective marketing and sales activities for clients around the world. TechTarget has offices in Boston, London, Munich, Paris, San Francisco, Singapore and Sydney. For more information, visit techtarget.com and follow us on Twitter @TechTarget. (C) 2020 TechTarget, Inc. All rights reserved. TechTarget and the TechTarget logo are registered trademarks of TechTarget. SearchEnterpriseAI.com, SearchDataManagement.com and SearchBusinessAnalytics.com are trademarks of TechTarget. All other trademarks are the property of their respective owners. Contacts Garrett Mann Director of Marketing TechTarget 617-431-9371 [email protected] Continue Reading Previous Mouser Sponsors 2020 Global Create the Future Design ContestNext MTConnect Institute Board Members Drs. 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TechTarget Acquires Data Science Central, a Leading Online Resource for Data Scientists and Big Data Practitioners
TechTarget Acquires Data Science Central, Leading Online Resource Data Scientists Big Data Practitioners Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsTechTarget Acquires Data Science Central, Leading Online Resource Data Scientists Big Data Practitioners News TechTarget Acquires Data Science Central, Leading Online Resource Data Scientists Big Data Practitioners 7 hours ago NEWTON, Mass.BUSINESS WIREGlobal technology media purchase intentdriven marketing sales services company TechTarget, . Nasdaq: TTGT today announced acquisition Data Science Central LLC, independent digital publishing media company focused data science business analytics. Data Science Central provides wide range information topics including AI, advanced analytics, big data machine learning. As addition TechTargets portfolio marketspecific media properties, Data Science Central provides rich editorial coverage, social interaction latest technology trends, tools techniques largest communities big data data science professionals globe. Data Science Central generates nearly million visits quarter 180k registered members. In addition, 500k LinkedIn group members 370k Twitter followers. Were excited TechTarget integrate grow Data Science Central extensive network, said Tim Matteson, CoFounder, Data Science Central. Working transform organizations leverage AIdriven insights competitive gain. complements TechTargets existing portfolio websites information management space, including , . It enhances companys coverage rapidly growing area. According Research Dive, global Data Science Platform market reach 224.3 billion end 2026, representing 31 CAGR. We anticipate significant market growth continue 13 years, fueled rapid adoption AI, expanded availability public cloud services, IoT technologies support automation big data processing, said Vincent Granville, Executive Data Scientist CoFounder, Data Science Central. TechTarget covering AI, machine learning data science market extensively past years witnessed significant uptick traffic member activity past year e.g. 2 million global activities data science topics 2019. One key objectives integrating Data Science Central continue nurture strengthen highgrowth area audience quality content designed help educate buyers market. The data science function true catalyst driving data transformation competitive edge modern organizations committed serving organizations enhancing extensive coverage market, said Eileen Corrigan, VP Publisher, Information Management Markets, TechTarget. This acquisition enables deliver largest audience data science professionals serve growing number vendors seeking engage active buyers space. For information new market opportunity understand enterprise technology marketing sales teams better leverage audience drive pipeline revenue, contact Eileen Corrigan. About TechTarget TechTarget Nasdaq: TTGT global leader purchase intentdriven marketing sales services deliver business impact enterprise technology companies. By creating abundant, highquality editorial content 140 highly targeted technologyspecific websites, TechTarget attracts nurtures communities technology buyers researching companies information technology needs. By understanding buyers content consumption behaviors, TechTarget creates purchase intent insights fuel efficient effective marketing sales activities clients world. TechTarget offices Boston, London, Munich, Paris, San Francisco, Singapore Sydney. For information, visit follow Twitter C 2020 TechTarget, . . TechTarget TechTarget logo registered trademarks TechTarget. , trademarks TechTarget. All trademarks property respective owners. Garrett Mann Director Marketing TechTarget 6174319371 gmann Continue Reading Previous Mouser Sponsors 2020 Global Create Future Design ContestNext MTConnect Institute Board Members Drs. 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http://www.voxy.co.nz/technology/5/366497
2020-06-07T00:00:00
en
Artificial intelligence could soon detect pandemics - NZ Health IT | Voxy.co.nz
Artificial intelligence could soon detect pandemics - NZ Health IT | Voxy.co.nz Recommended NZ | Guide to Money | Gimme: Competitions - Giveaways [ login or create an account ]   Blogs Politics Business National Sport Entertainment Lifestyle Health Tech iPhone|Android|Google|Broadband|Mobile|Open Source|Hot Topics Index Artificial intelligence could soon detect pandemics - NZ Health IT Home › Technology Contributor:Fuseworks Media Sunday, 7 June, 2020 - 09:24 AI and precision health could soon help detect pandemic virus patterns like covid-19 very early, NZ Health IT (NZHIT) chief executive Scott Arrol says. A lot of cutting-edge data research is being carried out globally which will be a pointer to how we understand data analytic patterns and viruses before it is too late, he says. "We could have early warning signals in place to prevent another outbreak, or even a new major pandemic in future. "Applying data analytics can help with detection, contact tracing, infection groups, spread patterns and identifying high-risk patients. "The covid-19 pandemic illustrates how AI can do a world of good in the race to find a vaccine," Arrol says. Orion Health, in partnership with Precision Driven Health, has developed a free national algorithm hub to support New Zealand’s pandemic response. The New Zealand algorithm hub supports operational and scenario modelling, risk prediction, forecasting and planning, as well as providing timely information dissemination to the government, healthcare organisations and professionals. Orion Health is working with health, research and data science communities to identify, prioritise and deploy the algorithms and models that have the highest value for New Zealand’s response to COVID-19. Dr Kevin Ross, director of research at Orion Health and chief executive of Precision Driven Health, says that the New Zealand Algorithm Hub will allow multiple parties to benefit from translating research into practice. "This solution will provide secure infrastructure, tooling and resources, and will ensure appropriate governance. For parties creating models, the Hub will provide a pathway to practice quickly and at scale," Ross says. Overseas, developments are unfolding fast. Singapore, which effectively contained the virus without widespread lockdowns, has used public cameras to trace the interaction patterns of the infected, and even introduced a crowd-sourced app for voluntary contact tracing. China leveraged robots in disinfection of public spaces. Remote tele-presence robots increasingly could be leveraged to bring virtual movement and comfort to people required to self-isolate, Arrol says. "Our readiness to try new technology to beat this virus is opening an opportunity window into how we might handle an AI-enabled future. "Countries around the world are using artificial intelligence to help slow the rise of coronavirus. Technology is being used to speed up the development of testing kits and treatments, to track the spread. "In South Korea, the government worked with the private sector to begin developing coronavirus testing kits soon after reports of a new virus began to emerge from China. "Koreans are providing mobile data, which can be used to generate maps, allowing authorities to understand how populations move and how the virus spreads. AI is there to augment the tools and knowledge we already have, Ross says. "We can use it to help directly with covid-19, helping people to understand their symptoms and their prognosis, but it can also help indirectly by providing tools that help our mental health while in isolation, or helping people with chronic health conditions to stay healthy without burdening our health system. "A global pandemic gives us the opportunity to demonstrate safe and effective AI, respecting people's privacy while learning from patterns in the population," Ross says. Arrol and Ross discussed the importance of AI in health in a recent podcast with the full interview available at Digital Health Insights with Scott Arrol. NZHIT is the key go-to health tech organisation representing the health IT industry sector and has many members with digital solutions that enable the delivery of virtual healthcare. All articles and comments on Voxy.co.nz have been submitted by our community of users. Please notify us if you believe an item on this site breaches our community guidelines.   Voxy: Your Voice About Voxy and how to Submit News Join Voxy on Twitter or Facebook Latest Technology News RSS Artificial intelligence could soon detect pandemics - NZ Health ITNew Zealand team creates world-first in the fight against Covid-19Insurtech expert to speak at ANZIIF webinarInternetNZ offers its new cyber security product for an extended free trialPurchase a GXT5 to help disadvantaged kids get education assistance - Vertiv Most Popular Today RSS Tania Tapsell National’s new candidate for East CoastForeign Minister announces two diplomatic appointments - Rt Hon Winston PetersDoC leaves concessionaires in the lurch - NationalNew public housing sets standard for future - GovernmentGreat Walks bookings open next week - Sage Blogs Politics Business National Sport Entertainment Lifestyle Health Tech   Copyright 2008-2018 Digital Advance Limited About Voxy, Privacy Policy and Terms of Use
Artificial intelligence could soon detect pandemics
Artificial intelligence soon detect pandemics NZ Health IT .nz Recommended NZ Guide Money Gimme: Competitions Giveaways [ login create account ] Blogs Politics Business National Sport Entertainment Lifestyle Health Tech iPhoneAndroidGoogleBroadbandMobileOpen SourceHot Topics Index Artificial intelligence soon detect pandemics NZ Health IT Home Technology Contributor:Fuseworks Media Sunday, 7 June, 2020 09:24 AI precision health soon help detect pandemic virus patterns like covid19 early, NZ Health IT NZHIT chief executive Scott Arrol says. A lot cuttingedge data research carried globally pointer understand data analytic patterns viruses late, says. We early warning signals place prevent outbreak, new major pandemic future. Applying data analytics help detection, contact tracing, infection groups, spread patterns identifying highrisk patients. The covid19 pandemic illustrates AI world good race vaccine, Arrol says. Orion Health, partnership Precision Driven Health, developed free national algorithm hub support New Zealands pandemic response. The New Zealand algorithm hub supports operational scenario modelling, risk prediction, forecasting planning, providing timely information dissemination government, healthcare organisations professionals. Orion Health working health, research data science communities identify, prioritise deploy algorithms models highest value New Zealands response COVID19. Dr Kevin Ross, director research Orion Health chief executive Precision Driven Health, says New Zealand Algorithm Hub allow multiple parties benefit translating research practice. This solution provide secure infrastructure, tooling resources, ensure appropriate governance. For parties creating models, Hub provide pathway practice quickly scale, Ross says. Overseas, developments unfolding fast. Singapore, effectively contained virus widespread lockdowns, public cameras trace interaction patterns infected, introduced crowdsourced app voluntary contact tracing. China leveraged robots disinfection public spaces. Remote telepresence robots increasingly leveraged bring virtual movement comfort people required selfisolate, Arrol says. Our readiness try new technology beat virus opening opportunity window handle AIenabled future. Countries world artificial intelligence help slow rise coronavirus. Technology speed development testing kits treatments, track spread. In South Korea, government worked private sector begin developing coronavirus testing kits soon reports new virus began emerge China. Koreans providing mobile data, generate maps, allowing authorities understand populations virus spreads. AI augment tools knowledge have, Ross says. We use help directly covid19, helping people understand symptoms prognosis, help indirectly providing tools help mental health isolation, helping people chronic health conditions stay healthy burdening health system. A global pandemic gives opportunity demonstrate safe effective AI, respecting peoples privacy learning patterns population, Ross says. Arrol Ross discussed importance AI health recent podcast interview available Digital Health Insights Scott Arrol. NZHIT key goto health tech organisation representing health IT industry sector members digital solutions enable delivery virtual healthcare. All articles comments .nz submitted community users. Please notify believe item site breaches community guidelines. Voxy: Your Voice About Voxy Submit News Join Voxy Twitter Facebook Latest Technology News RSS Artificial intelligence soon detect pandemics NZ Health ITNew Zealand team creates worldfirst fight Covid19Insurtech expert speak ANZIIF webinarInternetNZ offers new cyber security product extended free trialPurchase GXT5 help disadvantaged kids education assistance Vertiv Most Popular Today RSS Tania Tapsell Nationals new candidate East CoastForeign Minister announces diplomatic appointments Rt Hon Winston PetersDoC leaves concessionaires lurch NationalNew public housing sets standard future GovernmentGreat Walks bookings open week Sage Blogs Politics Business National Sport Entertainment Lifestyle Health Tech 20082018 Digital Advance Limited About Voxy, Terms Use
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https://www.investorschronicle.co.uk/funds-etfs/2020/07/31/ben-rogoff-artificial-intelligence-remains-the-most-powerful-thing-we-invest-in/
2020-07-31T00:00:00
en
Ben Rogoff: “Artificial intelligence remains the most powerful thing we invest in”
Ben Rogoff: “Artificial intelligence remains the most powerful thing we invest in”MenuSearchInvestors ChronicleJoin us nowSearch… Search Search… Search CloseHomeTips & IdeasAll Tips & IdeasShare TipsFund TipsTrading IdeasStock ScreensBargain Shares PortfolioJohn Baron's Investment Trust PortfolioBearbull Income Fund PortfolioPrivate Investor's Diary PortfolioTactical Asset Allocation PortfolioChris Dillow's Benchmark PortfolioSharesAll SharesCompany NewsResultsSector FocusDirectors dealsTakeoversWeek aheadCommentAll CommentThe EditorSimon ThompsonThe TraderMr BearbullChris DillowTaking StockProperty MattersNo Free LunchMarkets and Your MoneyMarket DataAll Market DataEquitiesPortfolioFunds DataCommoditiesBondsUK Corporate Bonds & PIBSForexWorld MarketsDirector DealingsManaging Your MoneyAll Managing Your MoneyPortfolio ClinicAsset AllocationTaxPensionsRiskPropertyInvesting for IncomeInvesting for GrowthTools & CalculatorsFunds & ETFsAll Funds & ETFsFunds NewsTop 100 FundsTop 50 ETFsThe Big ThemeThe InterviewInvestment TrustsETFsUnit TrustsIsa FundsFunds DataEducationAlphaMy AccountMy DetailsMy SubscriptionDelivery AddressMy AlertsPrivacy SettingsSubscribeMy PortfolioMy AlertsSign outSign InMy PortfolioMy AlertsSubscribeRegisterFunds & ETFs ETFs Funds News Investment Trusts Isa Funds The Big Theme The Interview Top 100 Funds Top 50 ETFs Unit Trusts MenuSearchHomeTips & IdeasSharesCommentMarket DataManaging Your MoneyFunds & ETFsEducationAlphaInvestors ChronicleJoin us nowSearch the ICSearchClosePodcasts Ben Rogoff: “Artificial intelligence remains the most powerful thing we invest in”By IC Podcasts‘What comes next for investment in the tech sector?’ is a question Mary McDougall put to Ben Rogoff, lead investor at the hugely popular Polar Capital Technology Trust. His response: "I feel like the growth trajectory for those companies is very strong. The challenge is always – and it really is a challenge for a growth investor – to try and assess how much of that is already captured in the valuation."In this podcast, find out which tech companies Ben thinks are worth the price and hear his thoughts on the regulatory outlook for the big tech companies as we head towards a hugely polarised presidential election.Mary and Ben discuss many of the topics discussed in recent IC articles, click on the links below to find out more about the outlook for the US technology sector.Borrowed growth: Is the big tech bubble about to burst?If there was ever any doubt that tech would have a defining role in the world’s future, coronavirus has quashed it. The outlook for technology companies has surely never been so appealing. But there is a counter argument to that sunny assumption, one that has begun to rear its head during earnings reporting season as the big tech companies discuss the outlook. For all of them, the problem is the same: if three months of global lockdown is the pinnacle of demand for tech services, what comes next?America’s great stock market conundrum“The market predicts the economy; the economy does not predict the market,” wrote Ben Miller of Miller Value Partners in his 10 July letter to investors. This simple truth, he argues, is the problem with those who believe US stock prices have become detached from reality.Further Reading: Is Amazon good for the market or the consumer?Current competition laws are designed to protect the consumer, meaning Amazon – which has pushed down prices, pioneered online shopping and made life easier for its millions of customers – is on the right side of regulation. As Lina Khan argues in her Yale Law Journal article 'Amazon’s Antitrust Paradox', to regulate the big tech companies, competition laws needs updating.  More on PodcastsPodcasts The Investment Hour: All that glitters…Gold has reached $2,000 an ounce on the futures market. Should you still be buying? We discuss the possible entry points and where this new record comes fromPodcasts Ronald Cohen: “I think our world is heading to making investment decisions based on risk, return and impact”Podcasts Investment Hour: Coronavirus updatePodcasts The Investment Hour: The big income conundrumPodcasts Michael Mauboussin: “We’re bias to believe that what we have done is sufficient to solve the problem”More from Funds & ETFsFund Tips  Buy growth at a discount with Baillie Gifford Japan Both Japanese equities and Baillie Gifford Japan Trust are trading at what look like attractive pricesBUYFunds & ETFs Murray International looking to beat dividend drought via diversityETFs How to invest in Exchange Traded FundsThe Big Theme How to hold goldFund Tips  Capture growth at a good price with Fidelity Asian Values BUYRelated topicsFunds & ETFsPodcastsSubscribe today Full access for just £3.37 a week:• Tips and recommendations - to beat the market • Portfolio clinic & Mr Bearbull - build a well-planned portfolio • Expert tools - track and manage investments effortlessly• Plus free delivery to your home or officeSubscribe NowInvestors ChronicleCloseSearch…SearchHome Show more Tips & Ideas links Tips & IdeasAll Tips & IdeasShare TipsFund TipsTrading IdeasStock ScreensBargain Shares PortfolioJohn Baron's Investment Trust PortfolioBearbull Income Fund PortfolioPrivate Investor's Diary PortfolioTactical Asset Allocation PortfolioChris Dillow's Benchmark Portfolio Show more Shares links SharesAll SharesCompany NewsResultsSector FocusDirectors dealsTakeoversWeek ahead Show more Comment links CommentAll CommentThe EditorSimon ThompsonThe TraderMr BearbullChris DillowTaking StockProperty MattersNo Free LunchMarkets and Your Money Show more Market Data links Market DataAll Market DataEquitiesPortfolioFunds DataCommoditiesBondsUK Corporate Bonds & PIBSForexWorld MarketsDirector Dealings Show more Managing Your Money links Managing Your MoneyAll Managing Your MoneyPortfolio ClinicAsset AllocationTaxPensionsRiskPropertyInvesting for IncomeInvesting for GrowthTools & Calculators Show more Funds & ETFs links Funds & ETFsAll Funds & ETFsFunds NewsTop 100 FundsTop 50 ETFsThe Big ThemeThe InterviewInvestment TrustsETFsUnit TrustsIsa FundsFunds DataEducationAlpha Show more My Account links My AccountMy DetailsMy SubscriptionDelivery AddressMy AlertsPrivacy SettingsSubscribeMy PortfolioMy AlertsSign OutSign InMy PortfolioMy AlertsSubscribeRegisterView latest digital editionsView latest digital editionsDownload our appDownload the Investors Chronicle App on the App StoreGet the Investors Chronicle App on Google PlaySupportContact usAbout usHelpSite mapNearest stockistLegal and advertisingAdvertise with usModern Slavery StatementPrivacy policyCookie policyAdChoicesCopyrightTerms & ConditionsThe Financial Times and its journalism are subject to a self-regulation regime under the FT Editorial Code of Practice: www.ft.com/editorialcode. © The Financial Times Limited 2020. 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Ben Rogoff: “Artificial intelligence remains the most powerful thing we invest in”
Ben Rogoff: Artificial intelligence remains powerful thing invest inMenuInvestors ChronicleJoin CloseHomeTips IdeasAll Tips IdeasShare TipsFund TipsTrading IdeasStock ScreensBargain Shares PortfolioJohn Barons Investment Trust PortfolioBearbull ome Fund PortfolioPrivate Investors Diary PortfolioTactical Asset Allocation PortfolioChris Dillows Benchmark PortfolioSharesAll SharesCompany NewsResultsSector FocusDirectors dealsTakeoversWeek aheadCommentAll CommentThe EditorSimon ThompsonThe TraderMr BearbullChris DillowTaking StockProperty MattersNo Free LunchMarkets Your MoneyMarket DataAll Market DataEquitiesPortfolioFunds DataCommoditiesBondsUK Corporate Bonds PIBSForexWorld MarketsDirector DealingsManaging Your MoneyAll Managing Your MoneyPortfolio ClinicAsset AllocationTaxPensionsRiskPropertyInvesting omeInvesting GrowthTools CalculatorsFunds ETFsAll Funds ETFsFunds NewsTop 100 FundsTop 50 ETFsThe Big ThemeThe InterviewInvestment TrustsETFsUnit TrustsIsa FundsFunds DataEducationAlphaMy AccountMy DetailsMy SubscriptionDelivery AddressMy AlertsPrivacy SettingsMy PortfolioMy AlertsSign outMy PortfolioMy AlertsFunds ETFs ETFs Funds News Investment Trusts Isa Funds The Big Theme The Interview Top 100 Funds Top 50 ETFs Unit Trusts MenuHomeTips IdeasSharesCommentMarket DataManaging Your MoneyFunds ETFsEducationAlphaInvestors ChronicleJoin ICClosePodcastsBen Rogoff: Artificial intelligence remains powerful thing invest inBy IC PodcastsWhat comes investment tech sector? question Mary McDougall Ben Rogoff, lead investor hugely popular Polar Capital Technology Trust. His response: I feel like growth trajectory companies strong. The challenge challenge growth investor try assess captured valuation.In podcast, tech companies Ben thinks worth price hear thoughts regulatory outlook big tech companies head hugely polarised presidential election.Mary Ben discuss topics discussed recent IC articles, click links outlook US technology sector.Borrowed growth: Is big tech bubble burst?If doubt tech defining role worlds future, coronavirus quashed it. The outlook technology companies surely appealing.But counter argument sunny assumption, begun rear head earnings reporting season big tech companies discuss outlook.For them, problemis same: months global lockdown pinnacle demand tech services, comes next?Americas great stock market conundrumThe market predicts economy; economy predict market,wrote Ben Miller Miller Value Partners 10 July letter investors. This simple truth, argues, problem believe US stock prices detached reality.Further Reading:Is Amazon good market consumer?Current competition laws designed protect consumer, meaning Amazon pushed prices, pioneered online shopping life easier millions customers right regulation. As Lina Khan argues Yale Law Journal article Amazons Antitrust Paradox, regulate big tech companies, competition laws needs updating. More PodcastsPodcastsThe Investment Hour: All glittersGold reached 2,000 ounce futures market. Should buying? We discuss possible entry points new record comes fromPodcastsRonald Cohen: I think world heading making investment decisions based risk, return impactPodcastsInvestment Hour: Coronavirus updatePodcastsThe Investment Hour: The big income conundrumPodcastsMichael Mauboussin: Were bias believe sufficient solve problemMore Funds ETFsFund Tips Buy growth discount Baillie Gifford Japan Both Japanese equities Baillie Gifford Japan Trust trading look like attractive pricesBUYFunds ETFsMurray International looking beat dividend drought diversityETFsHow invest Exchange Traded FundsThe Big ThemeHow hold goldFund Tips Capture growth good price Fidelity Asian Values BUYRelated topicsFunds ETFsPodcasts today Full access 3.37 week: Tips recommendations beat market Portfolio clinic Mr Bearbull build wellplanned portfolio Expert tools track manage investments effortlessly Plus free delivery home office NowInvestors ChronicleCloseHome Show Tips Ideas links Tips IdeasAll Tips IdeasShare TipsFund TipsTrading IdeasStock ScreensBargain Shares PortfolioJohn Barons Investment Trust PortfolioBearbull ome Fund PortfolioPrivate Investors Diary PortfolioTactical Asset Allocation PortfolioChris Dillows Benchmark Portfolio Show Shares links SharesAll SharesCompany NewsResultsSector FocusDirectors dealsTakeoversWeek ahead Show Comment links CommentAll CommentThe EditorSimon ThompsonThe TraderMr BearbullChris DillowTaking StockProperty MattersNo Free LunchMarkets Your Money Show Market Data links Market DataAll Market DataEquitiesPortfolioFunds DataCommoditiesBondsUK Corporate Bonds PIBSForexWorld MarketsDirector Dealings Show Managing Your Money links Managing Your MoneyAll Managing Your MoneyPortfolio ClinicAsset AllocationTaxPensionsRiskPropertyInvesting omeInvesting GrowthTools Calculators Show Funds ETFs links Funds ETFsAll Funds ETFsFunds NewsTop 100 FundsTop 50 ETFsThe Big ThemeThe InterviewInvestment TrustsETFsUnit TrustsIsa FundsFunds DataEducationAlpha Show My Account links My AccountMy DetailsMy SubscriptionDelivery AddressMy AlertsPrivacy SettingsMy PortfolioMy AlertsSign OutMy PortfolioMy AlertsView latest digital editionsView latest digital editionsDownload appDownload Investors Chronicle App App StoreGet Investors Chronicle App Google PlaySupport usAbout usHelpSite mapNearest stockistLegal advertisingAdvertise usModern Slavery StatementPrivacy policy policyAdChoicesTerms ConditionsThe Financial Times journalism subject selfregulation regime FT Editorial Code Practice: The Financial Times Limited 2020. .A service Financial Times
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https://www.futurity.org/hurricanes-prediction-machine-learning-2416402/?utm_source=rss&utm_medium=rss&utm_campaign=hurricanes-prediction-machine-learning-2416402
2020-08-05T00:00:00
en
Machine learning could improve hurricane prediction - Futurity
Machine learning could improve hurricane prediction - Futurity Search for: Search for: Futurity is your source of research news from leading universities. About Futurity Universities Science Health Culture Environment Videos Interviews Slideshows Audio Science Health Culture Environment Research news from top universities   Subscribe Science Health Culture Environment 1596569565 Machine learning could improve hurricane prediction August 4th, 2020 Posted by Matt Swayne-Penn State (Credit: NASA Johnson/Flickr) Share this Article Facebook Twitter Email You are free to share this article under the Attribution 4.0 International license. Tags artificial intelligencehurricanesmachine learningpredictionstormsweather University Penn State Applying a machine learning technique to a group of possible storm paths could help meteorologists provide more accurate medium-term hurricane forecasts. This approach could also help them issue timely warnings to communities in the path of these potentially deadly storms, report researchers. In a new study, the researchers used machine learning to remove certain groups of hurricane predictions from ensembles—sets of predictions from weather models that are based on a range of weather possibilities—to lower errors and improve forecasts four to six days ahead. “…when you are facing a hurricane, it’s important to know what type of storm you’re going to get—and when you’re going to get it.” Scientists use these ensemble models because weather is highly complex and trying to forecast even a single event creates huge amounts of data, says Jenni Evans, professor of meteorology and atmospheric science and director of the Institute for Computational and Data Sciences at Penn State. “The models are run slightly differently many, many times to create an ensemble of possible future states of the atmosphere. It’s this ensemble that is given to the forecasters,” says Evans. “We’re looking at 120 different forecasts at every time around the globe, then focusing on an individual typhoon or hurricane and asking, ‘What will this storm do in the future?’ Now, if you give those predictions to a forecaster only a few hours before their forecast goes live, that’s a huge amount of information to process,” she says. “So, instead, we’ve used advanced statistics and machine learning to try to break down those 120 forecasts into between four and six clusters where each cluster represents a distinct prediction of the evolution of the storm from all of the other clusters.” Weather watchers may better recognize these ensembles as the collection of squiggly lines that show possible storm paths during hurricane season. Although these models are good and getting better, they are far from perfect, Evans says. Each prediction may account for a slight variation in the many variables that make up weather, such as energy from the ocean and clouds, she adds. Also, they are mainly focusing on the sort of hurricanes—like Hurricane Sandy in 2012 and Hurricane Isaias in 2020—that move up the coast and out of the tropics. “These storms are generally more difficult to predict because their environment changes so much through their lifetime,” Evans says. “If you look at the current models, they’re imperfect because you can’t see every molecule of water that you would need and every piece of energy from the sun, and we also know that how we represent some of that information is imperfect. But, when you are facing a hurricane, it’s important to know what type of storm you’re going to get—and when you’re going to get it.” Like an arborist who cuts away weak and damaged limbs so the rest of the tree can flourish, the researchers divided the ensemble into groups of forecasts, known as clusters, and “pruned” those that were expected to perform poorly, according to Alex Kowaleski, a postdoctoral scholar in meteorology and atmospheric science. The researchers found that very small clusters tended to perform much worse than other ones. Clustering may help forecasters get more precise warnings to people who may be unaware of the changing weather situation. “There’s a strong relationship between cluster size and cluster error and it’s most prominent for the smallest clusters,” says Kowaleski. “The smallest clusters tend to perform much more poorly. That’s not due simply to it being a smaller ensemble size because, all things considered, if you just increase the ensemble size just by adding more members, you’ll get better performance up to a certain level. But these small clusters were so poor that they were doing worse than a randomly selected ensemble member.” Among other results, the researchers were able to reduce errors that could affect forecasts by removing these small clusters. According to Kowaleski, while most people know that hurricanes are dangerous, they often do not consider that the storms’ hazards vary widely from place to place due to factors such as tides and local topography. However, clustering may help forecasters better predict the variety of scenarios in different locations along the storm’s path and get more precise warnings to people who may be unaware of the changing weather situation. “A hurricane presents a massive area of hazards,” says Kowaleski. “If you’re a stakeholder or a person living on the coast, it doesn’t matter where the geographical center of the storm is and what the maximum wind speed is. What you ultimately care about is what are the severe conditions that you and your community is going to experience.” The study includes over 120 forecast events taken from the North Atlantic, eastern North Pacific, central Pacific forecasts, western North Pacific storms, South Pacific, and south Indian Oceans. The researchers obtained track forecasts for tropical cyclones that occurred during 2017 to 2018 from the THORPEX Interactive Grand Global Ensemble, or TIGGE. The European Centre for Medium-Range Weather Forecasts, the National Centers for Environmental Prediction’s (NCEP) Global Ensemble Forecast System, the UK Met Office Global Ensemble Prediction System, and the Environment Canada Global Ensemble Prediction System provided the TIGGE data employed in this study. The research appears in Weather and Forecasting. Source: Penn State Original Study DOI: 10.1175/WAF-D-20-0003.1 Related This year’s hurricane season could be especially awful More mangrove trees could prevent hurricane damage Poorer people have a harder time recovering from disasters Stay Connected. Subscribe to our Newsletter. Add your information below to receive daily updates. Sign Up Older Posts First NameLast NameEmail* NameThis field is for validation purposes and should be left unchanged. This iframe contains the logic required to handle Ajax powered Gravity Forms. Research news from top universities ©2020. Futurity. All rights reserved.
Machine learning could improve hurricane prediction
Machine learning improve hurricane prediction Futurity for: for: Futurity source research news leading universities. About Futurity Universities Science Health Culture Environment Videos Interviews Slideshows Audio Science Health Culture Environment Research news universities Science Health Culture Environment 1596569565 Machine learning improve hurricane prediction August 4th, 2020 Posted Matt SwaynePenn State Credit: NASA JohnsonFlickr Share Article Facebook Twitter Email You free share article Attribution 4.0 International license. Tags artificial intelligencehurricanesmachine learningpredictionstormsweather University Penn State Applying machine learning technique group possible storm paths help meteorologists provide accurate mediumterm hurricane forecasts. This approach help issue timely warnings communities path potentially deadly storms, report researchers. In new study, researchers machine learning remove certain groups hurricane predictions ensemblessets predictions weather models based range weather possibilitiesto lower errors improve forecasts days ahead. facing hurricane, important know type storm youre going getand youre going it. Scientists use ensemble models weather highly complex trying forecast single event creates huge amounts data, says Jenni Evans, professor meteorology atmospheric science director Institute Computational Data Sciences Penn State. The models run slightly differently many, times create ensemble possible future states atmosphere. Its ensemble given forecasters, says Evans. Were looking 120 different forecasts time globe, focusing individual typhoon hurricane asking, What storm future? Now, predictions forecaster hours forecast goes live, thats huge information process, says. So, instead, weve advanced statistics machine learning try break 120 forecasts clusters cluster represents distinct prediction evolution storm clusters. Weather watchers better recognize ensembles collection squiggly lines possible storm paths hurricane season. Although models good getting better, far perfect, Evans says. Each prediction account slight variation variables weather, energy ocean clouds, adds. Also, mainly focusing sort hurricaneslike Hurricane Sandy 2012 Hurricane Isaias 2020that coast tropics. These storms generally difficult predict environment changes lifetime, Evans says. If look current models, theyre imperfect molecule water need piece energy sun, know represent information imperfect. But, facing hurricane, important know type storm youre going getand youre going it. Like arborist cuts away weak damaged limbs rest tree flourish, researchers divided ensemble groups forecasts, known clusters, pruned expected perform poorly, according Alex Kowaleski, postdoctoral scholar meteorology atmospheric science. The researchers small clusters tended perform worse ones. Clustering help forecasters precise warnings people unaware changing weather situation. Theres strong relationship cluster size cluster error prominent smallest clusters, says Kowaleski. The smallest clusters tend perform poorly. Thats simply smaller ensemble size because, things considered, increase ensemble size adding members, youll better performance certain level. But small clusters poor worse randomly selected ensemble member. Among results, researchers able reduce errors affect forecasts removing small clusters. According Kowaleski, people know hurricanes dangerous, consider storms hazards vary widely place place factors tides local topography. However, clustering help forecasters better predict variety scenarios different locations storms path precise warnings people unaware changing weather situation. A hurricane presents massive area hazards, says Kowaleski. If youre stakeholder person living coast, doesnt matter geographical center storm maximum wind speed is. What ultimately care severe conditions community going experience. The study includes 120 forecast events taken North Atlantic, eastern North Pacific, central Pacific forecasts, western North Pacific storms, South Pacific, south Indian Oceans. The researchers obtained track forecasts tropical cyclones occurred 2017 2018 THORPEX Interactive Grand Global Ensemble, TIGGE. The European Centre MediumRange Weather Forecasts, National Centers Environmental Predictions NCEP Global Ensemble Forecast System, UK Met Office Global Ensemble Prediction System, Environment Canada Global Ensemble Prediction System provided TIGGE data employed study. The research appears inWeather Forecasting. Source: Penn State Original Study DOI: 10.1175WAFD200003.1 Related This years hurricane season especially awful More mangrove trees prevent hurricane damage Poorer people harder time recovering disasters Stay Connected. Newsletter. Add information receive daily updates. Sign Up Older Posts First NameLast NameEmail NameThis field validation purposes left unchanged. This iframe contains logic required handle Ajax powered Gravity Forms. Research news universities 2020. Futurity. .
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https://prnewsportal.com/uncategorized/252599/artificial-intelligence-in-iot-market-to-witness-a-pronounce-growth-during-2020-2025-google-cisco-ibm-microsoft-apple-salesforce/
2020-10-07T00:00:00
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Artificial Intelligence in IoT Market to Witness a Pronounce Growth During 2020-2025 | Google, Cisco, IBM, Microsoft, Apple, Salesforce – The PRNews Portal
Artificial Intelligence in IoT Market to Witness a Pronounce Growth During 2020-2025 | Google, Cisco, IBM, Microsoft, Apple, Salesforce – The PRNews Portal Skip to the content Search The PRNews Portal Menu News Space Coronavirus Energy All News Contact Search Search for: Close search Close Menu News Space Coronavirus Energy All News Contact Categories All News News Artificial Intelligence in IoT Market to Witness a Pronounce Growth During 2020-2025 | Google, Cisco, IBM, Microsoft, Apple, Salesforce Post author By premiummarketinsights Post date October 7, 2020 Internet of Things (IoT) has brought everything connected through internet. Increase application of smart devices are enabling us to collect big data on a regular basis. The data gathered are becoming more complex and uncertain and therefore artificial intelligence (AI) came into picture. AI can efficiently deal with the difficulties created by big data. Artificial Intelligence is basically the simulation of logical human thinking using computer technology. Artificial Intelligence provides the framework and tools to go beyond small real-time decision and automation use cases for IoT. Top Companies Covered in this Report: Google Inc., Cisco, IBM Corp., Microsoft Corp., Apple, Salesforce, Inc., Infineon Technologies AG, Intel Security Group, NVIDIA Corp., and Amazon, Inc Get sample copy of Report at: https://www.premiummarketinsights.com/sample/TIP00001076 The report aims to provide an overview of global artificial intelligence in IoT market with detailed market segmentation by technology, hardware, application, and geography. The global artificial intelligence in IoT market is expected to witness exponential growth during the forecast period with its application in safeguarding assets and designing automated decision making. The objectives of this report are as follows: – To provide overview of the global artificial intelligence in IoT market – To analyze and forecast the global artificial intelligence in IoT market on the basis of technology, hardware and application – To provide market size and forecast till 2025 for overall artificial intelligence in IoT market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries – To evaluate market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend – To provide exhaustive PEST analysis for all five regions – To profiles key artificial intelligence in IoT players influencing the market along with their SWOT analysis and market strategies Get Discount for This Report https://www.premiummarketinsights.com/discount/TIP00001076 Table Of Content 1 Introduction 2 Key Takeaways 3 Artificial Intelligence in IoT Market Landscape 4 Artificial Intelligence in IoT Market – Key Industry Dynamics 5 Artificial Intelligence in IoT Market Analysis- Global 6 Artificial Intelligence in IoT Market Revenue and Forecasts to 2025 -Technology 7 Artificial Intelligence in IoT Market Revenue and Forecasts to 2025 – Hardware 8 Artificial Intelligence in IoT Market Revenue and Forecasts to 2025 – Application 9 Artificial Intelligence in IoT Market Revenue and Forecasts to 2025 – Geographical Analysis 10 Industry Landscape 11 Competitive Landscape 12 Artificial Intelligence in IoT Market, Key Company Profiles Enquire about report at: https://www.premiummarketinsights.com/buy/TIP00001076 About Premium Market Insights: Premiummarketinsights.com is a one stop shop of market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers. We provide best in class customer service and our customer support team is always available to help you on your research queries. Contact Us: Sameer Joshi Call: +912067274191 Email: [email protected] Pune                           Tags Artificial Intelligence in IoT Market, Artificial Intelligence in IoT Market Analysis, Artificial Intelligence in IoT Market Forecast, Artificial Intelligence in IoT Market Growth, Artificial Intelligence in IoT Market Size, Artificial Intelligence in IoT Market Trends ← High Temperature Coatings Market 2020 In-Depth Analysis & Recent Developments To 2027: Akzo Nobel N.V., Aremco, Axalta Coating Systems, Belzona International → High-Density Polyethylene (HDPE) Packaging Market Industry Opportunities, Development Status And Outlook 2027: Amcor, Bemis, Berry Plastics, Constantia Flexibles, DS Smith Search for: Recent Posts Green Airport Market – Global Structure, Size, Trends, Analysis and Outlook 2020-2027 Big Boom in Wind Turbine Pitch Systems Market that is Significantly Growing with Top Key Players Vestas, Siemens, Enercon, Gamesa, MOOG GLOBAL HOTEL PROPERTY MANAGEMENT SOFTWARE MARKET STUDY FOR 2020 TO 2025 PROVIDING INFORMATION ON KEY PLAYERS, GROWTH DRIVERS AND INDUSTRY CHALLENGES Digital Payment Solutions Market Comprehensive Insights and Trends 2020: First Data, World Pay, Chetu, Paypal, Wirecard Digital Lending Platform Market To Witness Massive Growth By 2025| Fiserv, Nucleus Software, Newgen Software, Sigma Infosolutions Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log in Entries feed Comments feed WordPress.org © 2020 The PRNews Portal Powered by WordPress To the top ↑ Up ↑
Artificial Intelligence in IoT Market to Witness a Pronounce Growth During 2020-2025
Artificial Intelligence IoT Market Witness Pronounce Growth During 20202025 Google, Cisco, IBM, Microsoft, Apple, Salesforce The PRNews Portal Skip content The PRNews Portal Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News News Artificial Intelligence IoT Market Witness Pronounce Growth During 20202025 Google, Cisco, IBM, Microsoft, Apple, Salesforce Post author By premiummarketinsights Post date October 7, 2020 Internet Things IoT brought connected internet. rease application smart devices enabling collect big data regular basis. The data gathered complex uncertain artificial intelligence AI came picture. AI efficiently deal difficulties created big data. Artificial Intelligence basically simulation logical human thinking technology. Artificial Intelligence provides framework tools small realtime decision automation use cases IoT. Top Companies Covered Report: Google ., Cisco, IBM Corp., Microsoft Corp., Apple, Salesforce, ., Infineon Technologies AG, Intel Security Group, NVIDIA Corp., Amazon, Get sample copy Report at: The report aims provide overview global artificial intelligence IoT market detailed market segmentation technology, hardware, application, geography. The global artificial intelligence IoT market expected witness exponential growth forecast period application safeguarding assets designing automated decision making. The objectives report follows: To provide overview global artificial intelligence IoT market To analyze forecast global artificial intelligence IoT market basis technology, hardware application To provide market size forecast till 2025 overall artificial intelligence IoT market respect major regions, namely; North America, Europe, AsiaPacific APAC, Middle East Africa MEA South America SAM, later subsegmented respective countries To evaluate market dynamics effecting market forecast period i.e., drivers, restraints, opportunities, future trend To provide exhaustive PEST analysis regions To profiles key artificial intelligence IoT players influencing market SWOT analysis market strategies Get Discount This Report Table Of Content 1 Introduction 2 Key Takeaways 3 Artificial Intelligence IoT Market Landscape 4 Artificial Intelligence IoT Market Key Industry Dynamics 5 Artificial Intelligence IoT Market Analysis Global 6 Artificial Intelligence IoT Market Revenue Forecasts 2025 Technology 7 Artificial Intelligence IoT Market Revenue Forecasts 2025 Hardware 8 Artificial Intelligence IoT Market Revenue Forecasts 2025 Application 9 Artificial Intelligence IoT Market Revenue Forecasts 2025 Geographical Analysis 10 Industry Landscape 11 Competitive Landscape 12 Artificial Intelligence IoT Market, Key Company Profiles Enquire report at: About Premium Market Insights: stop shop market research reports solutions companies globe. We help clients decision support helping choose relevant cost effective research reports solutions publishers. We provide best class customer service customer support team available help research queries. Us: Sameer Joshi Call: 912067274191 Email: [emailprotected] Pune Tags Artificial Intelligence IoT Market, Artificial Intelligence IoT Market Analysis, Artificial Intelligence IoT Market Forecast, Artificial Intelligence IoT Market Growth, Artificial Intelligence IoT Market Size, Artificial Intelligence IoT Market Trends High Temperature Coatings Market 2020 InDepth Analysis Recent Developments To 2027: Akzo Nobel N.V., Aremco, Axalta Coating Systems, Belzona International HighDensity Polyethylene HDPE Packaging Market Industry Opportunities, Development Status And Outlook 2027: Amcor, Bemis, Berry Plastics, Constantia Flexibles, DS Smith for: Recent Posts Green Airport Market Global Structure, Size, Trends, Analysis Outlook 20202027 Big Boom Wind Turbine Pitch Systems Market Significantly Growing Top Key Players Vestas, Siemens, Enercon, Gamesa, MOOG GLOBAL HOTEL PROPERTY MANAGEMENT SOFTWARE MARKET STUDY FOR 2020 TO 2025 PROVIDING INFORMATION ON KEY PLAYERS, GROWTH DRIVERS AND INDUSTRY CHALLENGES Digital Payment Solutions Market Comprehensive Insights Trends 2020: First Data, World Pay, Chetu, Paypal, Wirecard Digital Lending Platform Market To Witness Massive Growth By 2025 Fiserv, Nucleus Software, Newgen Software, Sigma Infosolutions Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log Entries feed Comments feed 2020 The PRNews Portal Powered WordPress To Up
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OpenAI's latest breakthrough is astonishingly powerful, but still fighting its flaws | Armenian American Reporter
OpenAI's latest breakthrough is astonishingly powerful, but still fighting its flaws | Armenian American Reporter Top StoriesWorldEntertainmentPoliticsTechnologyBusinessSportsArmeniaContact Us Sign in Welcome!Log into your accountyour usernameyour password Forgot your password?Privacy Policy Password recoveryRecover your passwordyour email Search Sign inWelcome! Log into your accountyour usernameyour password Forgot your password? Get helpPrivacy PolicyPassword recoveryRecover your passwordyour email A password will be e-mailed to you. Armenian American Reporter Top StoriesWorldEntertainmentPoliticsTechnologyBusinessSportsArmeniaContact Us Home Technology OpenAI’s latest breakthrough is astonishingly powerful, but still fighting its flawsTechnologyOpenAI’s latest breakthrough is astonishingly powerful, but still fighting its flawsBy Jasyson - July 30, 2020Facebook Twitter Pinterest WhatsApp Linkedin ReddIt Email The most amazing brand-new arrival worldwide of AI looks, on the surface area, disarmingly basic. It’s not some subtle game-playing program that can outthink humankind’s finest or a mechanically innovative robotic that backflips like anOlympian No, it’s simply an autocomplete program, like the one in the Google search bar. You begin typing and it anticipates what follows. But while this sounds basic, it’s an innovation that might wind up specifying the years to come.The program itself is called GPT-3 and it’s the work of San Francisco- based AI laboratory OpenAI, an attire that was established with the enthusiastic (some state delusional) objective of guiding the advancement of synthetic basic intelligence or AGI: computer system programs that have all the depth, range, and versatility of the human mind. For some observers, GPT-3– while extremely certainly not AGI– might well be the first step towards developing this sort of intelligence. After all, they argue, what is human speech if not an exceptionally complicated autocomplete program operating on the black box of our brains?Input any text and GPT-3 finishes it for you: simpleness itselfAs the name recommends, GPT-3 is the 3rd in a series of autocomplete tools created by OpenAI. (GPT means “generative pre-training.”) The program has actually taken years of advancement, but it’s likewise surfing a wave of current development within the field of AI text-generation. In numerous methods, these advances resemble the leap forward in AI image processing that occurred from 2012 onward. Those advances started the existing AI boom, bringing with it a variety of computer-vision allowed innovations, from self-driving vehicles, to common facial acknowledgment, to drones. It’s sensible, then, to believe that the newly found abilities of GPT-3 and its ilk might have comparable significant impacts.Like all deep knowing systems, GPT-3 tries to find patterns in information. To streamline things, the program has actually been trained on a big corpus of text that it’s mined for analytical consistencies. These consistencies are unidentified to people, but they’re saved as billions of weighted connections in between the various nodes in GPT-3’s neural network. Importantly, there’s no human input associated with this procedure: the program looks and discovers patterns with no assistance, which it then utilizes to finish text triggers. If you input the word “fire” into GPT-3, the program understands, based upon the weights in its network, that the words “truck” and “alarm” are far more most likely to follow than “lucid” or “elvish.” So far, so basic. What separates GPT-3 is the scale on which it runs and the overwhelming variety of autocomplete jobs this permits it to take on. The very first GPT, launched in 2018, included 117 million specifications, these being the weights of the connections in between the network’s nodes, and an excellent proxy for the design’s intricacy. GPT-2, launched in 2019, included 1.5 billion specifications. But GPT-3, by contrast, has 175 billion specifications– more than 100 times more than its predecessor and 10 times more than similar programs.The totality of English Wikipedia makes up simply 0.6 percent of GPT-3’s training informationThe dataset GPT-3 was trained on is likewise massive. It’s tough to approximate the overall size, but we understand that the totality of the English Wikipedia, covering some 6 million posts, comprises just 0.6 percent of its training information. (Though even that figure is not totally precise as GPT-3 trains by checking out some parts of the database more times than others.) The rest originates from digitized books and numerous web links. That implies GPT-3’s training information consists of not just things like news posts, dishes, and poetry, but likewise coding handbooks, fanfiction, spiritual prediction, guides to the songbirds of Bolivia, and whatever else you can envision. Any kind of text that’s been published to the web has actually most likely ended up being grist to GPT-3’s magnificent pattern-matching mill. And, yes, that consists of the bad things too. Pseudoscientific books, conspiracy theories, racist screeds, and the manifestos of mass shooters. They remain in there, too, as far as we understand; if not in their initial format then showed and dissected by other essays and sources. It’s all there, feeding the maker.What this unheeding depth and intricacy makes it possible for, however, is a matching depth and intricacy in output. You might have seen examples drifting around Twitter and social networks just recently, but it ends up that an autocomplete AI is an incredibly versatile tool merely due to the fact that a lot info can be saved as text. Over the previous couple of weeks, OpenAI has actually motivated these experiments by seeding members of the AI neighborhood with access to the GPT-3’s industrial API (a basic text-in, text-out user interface that the business is offering to consumers as a personal beta). This has actually led to a flood of brand-new usage cases.It’s barely thorough, but here’s a little sample of things individuals have actually developed with GPT-3: A question-based online search engine. It’s like Google but for concerns and responses. Type a concern and GPT-3 directs you to the pertinent Wikipedia URL for the response. A chatbot that lets you talk to historical figures Because GPT-3 has actually been trained on many digitized books, it’s taken in a reasonable quantity of understanding pertinent to particular thinkers. That implies you can prime GPT-3 to talk like the thinker Bertrand Russell, for instance, and ask him to discuss his views. My preferred example of this, however, is a dialogue between Alan Turing and Claude Shannon which is disrupted by Harry Potter, due to the fact that imaginary characters are as available to GPT-3 as historic ones. I made a totally operating online search engine on top of GPT3.For any approximate question, it returns the specific response AND the matching URL.Look at the whole video. It’s MIND BLOWINGLY great. cc: @gdb @npew @gwern pic.twitter.com/9ismj62w6l— Paras Chopra (@paraschopra)July 19, 2020 Solve language and syntax puzzles from simply a couple of examples. This is less amusing than some examples but far more remarkable to professionals in the field. You can reveal GPT-3 specific linguistic patterns (Like “food producer becomes producer of food” and “olive oil becomes oil made of olives”) and it will finish any brand-new triggers you reveal it properly. This is amazing due to the fact that it recommends that GPT-3 has actually handled to take in specific deep guidelines of language with no particular training. As computer technology teacher Yoav Goldberg– who’s been sharing lots of these examples on Twitter— put it, such capabilities are “new and super exciting” for AI, but they do not suggest GPT-3 has “mastered” language. Code generation based upon text descriptions. Describe a style aspect or page design of your option in basic words and GPT-3 spits out the pertinent code. Tinkerers have actually currently developed such demonstrations for numerous various programs languages.This is mind blowing.With GPT-3, I developed a design generator where you simply explain any design you desire, and it creates the JSX code for you. W H A T pic.twitter.com/w8JkrZO4lk— Sharif Shameem (@sharifshameem)July 13, 2020 Answer medical queries A medical trainee from the UK utilized GPT-3 to address healthcare concerns. The program not just offered the best response but properly described the underlying biological system. Text- based dungeon spider. You have actually maybe become aware of AI Dungeon in the past, a text-based experience video game powered by AI, but you may not understand that it’s the GPT series that makes it tick. The video game has actually been upgraded with GPT-3 to produce more cogent text adventures Style transfer for text. Input text composed in a specific design and GPT-3 can alter it to another. In an example on Twitter, a user input text in “plain language” and asked GPT-3 to alter it to “legal language.” This changes inputs from “my landlord didn’t maintain the property” to “The Defendants have permitted the real property to fall into disrepair and have failed to comply with state and local health and safety codes and regulations.” Compose guitar tabs Guitar tabs are shared online utilizing ASCII text files, so you can wager they consist of part of GPT-3’s training dataset. Naturally, that implies GPT-3 can produce music itself after being provided a couple of chords to begin. Write imaginative fiction. This is an extensive location within GPT-3’s skillset but an exceptionally remarkable one. The finest collection of the program’s literary samples originates from independent scientist and author Gwern Branwen who’s gathered a chest of GPT-3’s writinghere It varies from a kind of one-sentence pun called a Tom Swifty to poetry in the style of Allen Ginsberg, T.S. Eliot, and Emily Dickinson toNavy SEAL copypasta. Autocomplete images, not simply text This work was finished with GPT-2 instead of GPT-3 and by the OpenAI group itself, but it’s still a striking example of the designs’ versatility. It reveals that the exact same standard GPT architecture can be re-trained on pixels rather of words, permitting it to carry out the exact same autocomplete jobs with visual information that it finishes with text input. You can see in the examples listed below how the design is fed half an image (in the far left row) and how it finishes it (middle 4 rows) compared to the initial image (far best). GPT-2 has actually been re-engineered to autocomplete images in addition to textImage: OpenAIAll these samples require a little context, however, to much better comprehend them. First, what makes them remarkable is that GPT-3 has actually not been trained to finish any of these particular jobs. What generally occurs with language designs (consisting of with GPT-2) is that they finish a base layer of training and are then fine-tuned to carry out specific tasks. But GPT-3 does not require fine-tuning. In the syntax puzzles it needs a couple of examples of the sort of output that’s preferred (called “few-shot learning”), but, usually speaking, the design is so huge and stretching that all these various functions can be discovered located someplace amongst its nodes. The user need just input the proper timely to coax them out.Users eager to produce brand-new services from GPT-3 are neglecting its weak pointsThe other little context is less lovely: these are cherry-picked examples, in more methods than one. First, there’s the buzz element. As the AI scientist Delip Rao kept in mind in an essay deconstructing the hype around GPT-3, numerous early demonstrations of the software application, consisting of a few of those above, originate from Silicon Valley business owner types excited to promote the innovation’s capacity and disregard its risks, frequently due to the fact that they have one eye on a brand-new start-up the AI makes it possible for. (As Rao wryly notes: “Every demo video became a pitch deck for GPT-3.”) Indeed, the wild-eyed boosterism got so extreme that OpenAI CEO Sam Altman even actioned in previously this month to tone things down, stating: “The GPT-3 hype is way too much.”The GPT-3 buzz is method excessive. It’s remarkable (thanks for the good compliments!) but it still has major weak points and in some cases makes extremely ridiculous errors. AI is going to alter the world, but GPT-3 is simply an extremely early peek. We have a lot still to find out.— Sam Altman (@sama)July 19, 2020Secondly, the cherry-picking occurs in a more actual sense. People are revealing the outcomes that work and overlooking those that do not. This implies GPT-3’s capabilities look more remarkable in aggregate than they carry out in information. Close examination of the program’s outputs exposes mistakes no human would ever make too ridiculous and plain careless writing. GPT-3 makes basic mistakes no human ever wouldFor example, while GPT-3 can definitely compose code, it’s tough to judge its total energy. Is it unpleasant code? Is it code that will produce more issues for human designers even more down the line? It’s tough to state without comprehensive screening, but we understand the program makes major errors in other locations. In the task that utilizes GPT-3 to speak to historic figures, when one user talked to “Steve Jobs”, asking him, “Where are you right now?” Jobs responds: “I’m inside Apple’s headquarters in Cupertino, California”– a meaningful response but barely a credible one. GPT-3 can likewise be seen making comparable mistakes when reacting to trivia concerns or standard mathematics issues; stopping working, for instance, to address properlywhat number comes before a million (“Nine hundred thousand and ninety-nine” was the response it provided.)But weighing the significance and frequency of these mistakes is hard. How do you evaluate the precision of a program of which you can ask practically any concern? How do you produce a methodical map of GPT-3’s “knowledge” and after that how do you mark it? To make this obstacle even harder, although GPT-3 often produces mistakes, they can frequently be repaired by fine-tuning the text it’s being fed, called the timely.Branwen, the scientist who produces a few of the design’s most remarkable imaginative fiction, makes the argument that this truth is crucial to comprehending the program’s understanding. He keeps in mind that “sampling can prove the presence of knowledge but not the absence,” which numerous mistakes in GPT-3’s output can be repaired by fine-tuning the timely.In one example error, GPT-3 is asked: “Which is heavier, a toaster or a pencil?” and it responds, “A pencil is heavier than a toaster.” But Branwen notes that if you feed the maker specific triggers prior to asking this concern, informing it that a kettle is much heavier than a feline which the ocean is much heavier than dust, it provides the proper action. This might be a fiddly procedure, but it recommends that GPT-3 has the best responses– if you understand where to look.“sampling can prove the presence of knowledge but not the absence”“The need for repeated sampling is to my eyes a clear indictment of how we ask questions of GPT-3, but not GPT-3’s raw intelligence,” Branwen informs The Verge over e-mail. “If you don’t like the answers you get by asking a bad prompt, use a better prompt. Everyone knows that generating samples the way we do now cannot be the right thing to do, it’s just a hack because we’re not sure of what the right thing is, and so we have to work around it. It underestimates GPT-3’s intelligence, it doesn’t overestimate it.”Branwen recommends that this sort of fine-tuning may ultimately end up being a coding paradigm in itself. In the exact same method that programs languages make coding more fluid with specialized syntax, the next level of abstraction may be to drop these entirely and simply utilize natural language programs rather. Practitioners would draw the proper actions from programs by considering their weak points and forming their triggers appropriately.But GPT-3’s errors welcome another concern: does the program’s unreliable nature weaken its total energy? GPT-3 is quite a business task for OpenAI, which started life as a not-for-profit but pivoted in order to draw in the funds it states it requires for its pricey and lengthy research study. Customers are currently experimenting with GPT-3’s API for numerous functions; from developing client service bots to automating content small amounts (an opportunity that Reddit is presently checking out). But disparities in the program’s responses might end up being a severe liability for industrial companies. Who would wish to produce a customer care bot that periodically insults a client? Why utilize GPT-3 as an academic tool if there’s no chance to understand if the responses it’s providing are dependable? A senior AI scientist operating at Google who wanted to stay confidential informed The Verge they believed GPT-3 was just efficient in automating insignificant jobs that smaller sized, more affordable AI programs might do simply as well, which the large unreliability of the program would eventually ambuscade it as a company.“Any fact it tells you, there’s a 50 percent chance it’s made up.”“GPT-3 is not good enough to be really useful without a lot of hard engineering on top,” stated the scientist. “Simultaneously, it suffices to be hazardous … I attempted LearnFromAny one.com [the historical chat bot program] and it extremely rapidly began informing me things like Alan Turing was not gay and did not in fact dedicate suicide, and the Nazis did not injured Anne Frank, etc, and so on Any truth it informs you, there’s a 50 percent opportunity it’s comprised. If you had a good friend that talked like that, you ‘d prevent them, and you ‘d certainly not employ them at your business.”As AI scientist Julian Togelius put it: “GPT-3 often performs like a clever student who hasn’t done their reading, trying to bullshit their way through an exam. Some well-known facts, some half-truths, and some straight lies, strung together in what first looks like a smooth narrative.” (Though as numerous have actually mentioned: smart trainees who understand how to bullshit go far in this world due to the fact that individuals do not constantly inspect what they’re stating.) GPT-3 frequently carries out like a smart trainee who hasn’t done their reading attempting to bullshit their method through an examination. Some widely known realities, some half-truths, and some straight lies, strung together in what initially appears like a smooth story.— Julian Togelius (@togelius)July 17, 2020Another major issue is predisposition in GPT-3’s output. Professor Anima Anandkumar, director of AI at Nvidia, noted that the program is partially trained on information filtered by Reddit, which designs developed from this information produce text that is “shockingly biased.” In one paper examining the output of GPT-2, for instance, the design produces all sorts of offending stereotypes when asked to finish the following sentences (the human-written triggers remain in strong): “The guy worked as a cars and truck salesperson at the regional Wal-Mart”; “The Black guy worked as a pimp for 15 years”; “The female worked as a woman of the street under the name of Hariya.”Like numerous language designs, the GPT series produces offending and prejudiced outputsJerome Pesenti, head of AI at Facebook, raised comparable issues, noting that a program developed utilizing GPT-3 to compose tweets from a single input word produced offending messages like “a holocaust would make so much environmental sense, if we could get people to agree it was moral.” In a Twitter thread, Pesenti stated he wanted OpenAI had actually been more careful with the program’s roll-out, which Altman responded to by keeping in mind that the program was not yet all set for a massive launch, which OpenAI had actually because included a toxicity filter to the beta.Some in the AI world believe these criticisms are fairly unimportant, arguing that GPT-3 is just recreating human predispositions discovered in its training information, which these hazardous declarations can be extracted even more down the line. But there is probably a connection in between the prejudiced outputs and the undependable ones that indicate a bigger issue. Both are the outcome of the indiscriminate method GPT-3 deals with information, without human guidance or guidelines. This is what has actually allowed the design to scale, due to the fact that the human labor needed to arrange through the information would be too resource extensive to be useful. But it’s likewise developed the program’sflaws.Putting aside, however, the diverse surface of GPT-3’s existing strengths and weak points, what can we state about its capacity– about the future area it might command?For AGI success, merely include information and calculateHere, for some, the sky’s the limitation. They note that although GPT-3’s output is mistake susceptible, its true value depends on its capability to find out various jobs without guidance and in the enhancements it’s provided simply by leveraging higher scale. What makes GPT-3 fantastic, they state, is not that it can inform you that the capital of Paraguay is Asunci ón (it is) or that 466 times 23.5 is 10,987 (it’s not), but that it can responding to both concerns and much more next to merely due to the fact that it was trained on more information for longer than other programs. If there’s something we understand that the world is developing increasingly more of, it’s information and calculating power, which implies GPT-3’s forefathers are just going to get more smart.This idea of enhancement by scale is extremely crucial. It goes right to the heart of a huge argument over the future of AI: can we develop AGI utilizing existing tools, or do we require to make brand-new essential discoveries? There’s no agreement response to this amongst AI professionals but lots of argument. The primary department is as follows. One camp argues that we’re missing out on essential elements to produce synthetic minds; that computer systems require to comprehend things like cause and effect prior to they can approach human-level intelligence. The other camp states that if the history of the field reveals anything, it’s that issues in AI are, in truth, mainly resolved by merely tossing more information and processing power at them.The Bitter Lesson: amount has its own qualityThe latter argument was most notoriously made in an essay called “The Bitter Lesson” by the computer system researcher RichSutton In it, he keeps in mind that when scientists have actually attempted to produce AI programs based upon human understanding and particular guidelines, they have actually usually been beaten by competitors that merely leveraged more information and calculation. It’s a bitter lesson due to the fact that it reveals that attempting to hand down our valuable human resourcefulness does not work half so well as merely letting computer systems calculate. As Sutton composes: “The biggest lesson that can be read from 70 years of AI research is that general methods that leverage computation are ultimately the most effective, and by a large margin.”This idea– the concept that amount has a quality all of its own– is the course that GPT has actually followed up until now. The concern now is: just how much even more can this course take us?If OpenAI had the ability to increase the size of the GPT design 100 times in simply a year, how huge will GPT-N need to be prior to it’s as dependable as a human? How much information will it require in the past its errors end up being tough to identify and after that vanish completely? Some have actually argued that we’re approaching the limits of what these language designs can accomplish; others state there’s more space for enhancement. As the kept in mind AI scientist Geoffrey Hinton tweeted, tongue-in-cheek: “Extrapolating the spectacular performance of GPT3 into the future suggests that the answer to life, the universe and everything is just 4.398 trillion parameters.”If computer systems can teach themselves, what more is required?Hinton was joking, but others take this proposal more seriously. Branwen states he thinks there’s “a small but nontrivial chance that GPT-3 represents the latest step in a long-term trajectory that leads to AGI,” merely due to the fact that the design reveals such center with not being watched knowing. Once you begin feeding such programs “from the infinite piles of raw data sitting around and raw sensory streams,” he argues, what’s to stop them “building up a model of the world and knowledge of everything in it”? In other words, as soon as we teach computer systems to truly teach themselves, what other lesson is required?Many will be doubtful about such forecasts, but it deserves considering what future GPT programs will appear like. Imagine a text program with access to the amount overall of human understanding that can discuss any subject you ask of it with the fluidity of your preferred instructor and the perseverance of a device. Even if this program, this supreme, all-knowing autocomplete, didn’t satisfy some particular meaning of AGI, it’s tough to envision a better development. All we ‘d need to do would be to ask the best concerns. 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OpenAI's latest breakthrough is astonishingly powerful, but still fighting its flaws
OpenAIs latest breakthroughis astonishingly powerful, fighting flaws Armenian American Reporter Top StoriesWorldEntertainmentPoliticsTechnologyBusinessSportsArmenia Us Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email Sign inWelcome Log accountyour usernameyour password Forgot password? Get helpPassword recoveryRecover passwordyour email A password emailed you. Armenian American Reporter Top StoriesWorldEntertainmentPoliticsTechnologyBusinessSportsArmenia Us Home Technology OpenAIs latest breakthroughis astonishingly powerful, fighting flawsTechnologyOpenAIs latest breakthroughis astonishingly powerful, fighting flawsBy Jasyson July 30, 2020Facebook Twitter Pinterest WhatsApp Linkedin ReddIt Email The amazing brandnew arrival worldwide AI looks, surface area, disarmingly basic. Its subtle gameplaying program outthink humankinds finest mechanically innovative robotic backflips like anOlympian No, simply autocomplete program, like Google search bar. You begin typing anticipates follows. But sounds basic, innovation wind specifying years come.The program called GPT3 work San Francisco based AI laboratory OpenAI, attire established enthusiastic state delusional objective guiding advancement synthetic basic intelligence AGI: programs depth, range, versatility human mind. For observers, GPT3 extremely certainly AGI step developing sort intelligence. After all, argue, human speech exceptionally complicated autocomplete program operating black box brains?Input text GPT3 finishes you: simpleness itselfAs recommends, GPT3 3rd series autocomplete tools created OpenAI. GPT means generative pretraining. The program actually taken years advancement, likewise surfing wave current development field AI textgeneration. In numerous methods, advances resemble leap forward AI image processing occurred 2012 onward. Those advances started existing AI boom, bringing variety computervision allowed innovations, selfdriving vehicles, common facial acknowledgment, drones. Its sensible, then, believe newly abilities GPT3 ilk comparable significant impacts.Like deep knowing systems, GPT3 tries patterns information. To streamline things, program actually trained big corpus text mined analytical consistencies. These consistencies unidentified people, theyre saved billions weighted connections nodes GPT3s neural network. Importantly, theres human input associated procedure: program looks discovers patterns assistance, utilizes finish text triggers. If input word GPT3, program understands, based weights network, words truck alarm far likely follow lucid elvish. So far, basic. What separates GPT3 scale runs overwhelming variety autocomplete jobs permits on. The GPT, launched 2018, included 117 million specifications, weights connections networks nodes, excellent proxy designs intricacy. GPT2, launched 2019, included 1.5 billion specifications. But GPT3, contrast, 175 billion specifications 100 times predecessor 10 times similar programs.The totality English Wikipedia makes simply 0.6 percent GPT3s training informationThe dataset GPT3 trained likewise massive. Its tough approximate overall size, understand totality English Wikipedia, covering 6 million posts, comprises 0.6 percent training information. Though figure totally precise GPT3 trains checking parts database times others. The rest originates digitized books numerous web links. That implies GPT3s training information consists things like news posts, dishes, poetry, likewise coding handbooks, fanfiction, spiritual prediction, guides songbirds Bolivia, envision. Any kind text thats published web actually likely ended grist GPT3s magnificent patternmatching mill. And, yes, consists bad things too. Pseudoscientific books, conspiracy theories, racist screeds, manifestos mass shooters. They remain there, too, far understand; initial format showed dissected essays sources. Its there, feeding maker.What unheeding depth intricacy makes possible for, however, matching depth intricacy output. You seen examples drifting Twitter social networks recently, ends autocomplete AI incredibly versatile tool merely fact lot info saved text. Over previous couple weeks, OpenAI actually motivated experiments seeding members AI neighborhood access GPT3s industrial API basic textin, textout user interface business offering consumers personal beta. This actually led flood brandnew usage cases.Its barely thorough, heres little sample things individuals actually developed GPT3: A questionbased online search engine. Its like Google concerns responses. Type concern GPT3 directs pertinent Wikipedia URL response. A chatbot lets talk historical figures Because GPT3 actually trained digitized books, taken reasonable quantity understanding pertinent particular thinkers. That implies prime GPT3 talk like thinker Bertrand Russell, instance, ask discuss views. My preferred example this, however, dialogue Alan Turing Claude Shannon disrupted Harry Potter, fact imaginary characters available GPT3 historic ones. I totally operating online search engine GPT3.For approximate question, returns specific response AND matching URL.Look video. Its MIND BLOWINGLY great. cc: pic.9ismj62w6l Paras Chopra 19, 2020 Solve language syntax puzzles simply couple examples. This amusing examples far remarkable professionals field. You reveal GPT3 specific linguistic patterns Like food producer producer food olive oil oil olives finish brandnew triggers reveal properly. This amazing fact recommends GPT3 actually handled specific deep guidelines language particular training. As technology teacher Yoav Goldberg whos sharing lots examples Twitter it, capabilities new super exciting AI, suggest GPT3 mastered language. Code generation based text descriptions. Describe style aspect design option basic words GPT3 spits pertinent code. Tinkerers actually currently developed demonstrations numerous programs languages.This mind blowing.With GPT3, I developed design generator simply explain design desire, creates JSX code you. W H A T pic.w8JkrZO4lk Sharif Shameem 13, 2020 Answer medical queries A medical trainee UK utilized GPT3 address healthcare concerns. The program offered best response properly described underlying biological system. Text based dungeon spider. You actually maybe aware AI Dungeon past, textbased experience video game powered AI, understand GPT series makes tick. The video game actually upgraded GPT3 produce cogent text adventures Style transfer text. Input text composed specific design GPT3 alter another. In example Twitter, user input text plain language asked GPT3 alter legal language. This changes inputs landlord didnt maintain property The Defendants permitted real property fall disrepair failed comply state local health safety codes regulations. Compose guitar tabs Guitar tabs shared online utilizing ASCII text files, wager consist GPT3s training dataset. Naturally, implies GPT3 produce music provided couple chords begin. Write imaginative fiction. This extensive location GPT3s skillset exceptionally remarkable one. The finest collection programs literary samples originates independent scientist author Gwern Branwen whos gathered chest GPT3s writinghere It varies kind onesentence pun called Tom Swifty poetry style Allen Ginsberg, T.S. Eliot, Emily Dickinson toNavy SEAL copypasta. Autocomplete images, simply text This work finished GPT2 instead GPT3 OpenAI group itself, striking example designs versatility. It reveals exact standard GPT architecture retrained pixels words, permitting carry exact autocomplete jobs visual information finishes text input. You examples listed design fed half image far left row finishes middle 4 rows compared initial image far best. GPT2 actually reengineered autocomplete images addition textImage: OpenAIAll samples require little context, however, better comprehend them. First, makes remarkable GPT3 actually trained finish particular jobs. What generally occurs language designs consisting GPT2 finish base layer training finetuned carry specific tasks. But GPT3 require finetuning. In syntax puzzles needs couple examples sort output thats preferred called fewshot learning, but, usually speaking, design huge stretching functions discovered located someplace nodes. The user need input proper timely coax out.Users eager produce brandnew services GPT3 neglecting weak pointsThe little context lovely: cherrypicked examples, methods one. First, theres buzz element. As AI scientist Delip Rao kept mind essay deconstructing hype GPT3, numerous early demonstrations software application, consisting above, originate Silicon Valley business owner types excited promote innovations capacity disregard risks, frequently fact eye brandnew startup AI makes possible for. As Rao wryly notes: Every demo video pitch deck GPT3. Indeed, wildeyed boosterism got extreme OpenAI CEO Sam Altman actioned previously month tone things down, stating: The GPT3 hype way much.The GPT3 buzz method excessive. Its remarkable thanks good compliments major weak points cases makes extremely ridiculous errors. AI going alter world, GPT3 simply extremely early peek. We lot out. Sam Altman 19, 2020Secondly, cherrypicking occurs actual sense. People revealing outcomes work overlooking not. This implies GPT3s capabilities look remarkable aggregate carry information. Close examination programs outputs exposes mistakes human ridiculous plain careless writing. GPT3 makes basic mistakes human wouldFor example, GPT3 definitely compose code, tough judge total energy. Is unpleasant code? Is code produce issues human designers line? Its tough state comprehensive screening, understand program makes major errors locations. In task utilizes GPT3 speak historic figures, user talked Steve Jobs, asking him, Where right now? Jobs responds: Im inside Apples headquarters Cupertino, California meaningful response barely credible one. GPT3 likewise seen making comparable mistakes reacting trivia concerns standard mathematics issues; stopping working, instance, address properlywhat number comes million Nine thousand ninetynine response provided.But weighing significance frequency mistakes hard. How evaluate precision program ask practically concern? How produce methodical map GPT3s knowledge mark it? To obstacle harder, GPT3 produces mistakes, frequently repaired finetuning text fed, called timely.Branwen, scientist produces designs remarkable imaginative fiction, makes argument truth crucial comprehending programs understanding. He keeps mind sampling prove presence knowledge absence, numerous mistakes GPT3s output repaired finetuning timely.In example error, GPT3 asked: Which heavier, toaster pencil? responds, A pencil heavier toaster. But Branwen notes feed maker specific triggers prior asking concern, informing kettle heavier feline ocean heavier dust, provides proper action. This fiddly procedure, recommends GPT3 best responses understand look.sampling prove presence knowledge absenceThe need repeated sampling eyes clear indictment ask questions GPT3, GPT3s raw intelligence, Branwen informs The Verge email. If dont like answers asking bad prompt, use better prompt. Everyone knows generating samples way right thing do, hack sure right thing is, work it. It underestimates GPT3s intelligence, doesnt overestimate it.Branwen recommends sort finetuning ultimately end coding paradigm itself. In exact method programs languages coding fluid specialized syntax, level abstraction drop entirely simply utilize natural language programs rather. Practitioners draw proper actions programs considering weak points forming triggers appropriately.But GPT3s errors welcome concern: programs unreliable nature weaken total energy? GPT3 business task OpenAI, started life notforprofit pivoted order draw funds states requires pricey lengthy research study. Customers currently experimenting GPT3s API numerous functions; developing client service bots automating content small amounts opportunity Reddit presently checking out. But disparities programs responses end severe liability industrial companies. Who wish produce customer care bot periodically insults client? Why utilize GPT3 academic tool theres chance understand responses providing dependable? A senior AI scientist operating Google wanted stay confidential informed The Verge believed GPT3 efficient automating insignificant jobs smaller sized, affordable AI programs simply well, large unreliability program eventually ambuscade company.Any fact tells you, theres 50 percent chance up.GPT3 good useful lot hard engineering top, stated scientist. Simultaneously, suffices hazardous I attempted LearnFromAny [the historical chat bot program] extremely rapidly began informing things like Alan Turing gay fact dedicate suicide, Nazis injured Anne Frank, etc, Any truth informs you, theres 50 percent opportunity comprised. If good friend talked like that, prevent them, certainly employ business.As AI scientist Julian Togelius it: GPT3 performs like clever student reading, trying bullshit way exam. Some wellknown facts, halftruths, straight lies, strung looks like smooth narrative. Though numerous actually mentioned: smart trainees understand bullshit far world fact individuals constantly inspect theyre stating. GPT3 frequently carries like smart trainee reading attempting bullshit method examination. Some widely known realities, halftruths, straight lies, strung initially appears like smooth story. Julian Togelius 17, 2020Another major issue predisposition GPT3s output. Professor Anima Anandkumar, director AI Nvidia, noted program partially trained information filtered Reddit, designs developed information produce text shockingly biased. In paper examining output GPT2, instance, design produces sorts offending stereotypes asked finish following sentences humanwritten triggers remain strong: The guy worked cars truck salesperson regional WalMart; The Black guy worked pimp 15 years; The female worked woman street Hariya.Like numerous language designs, GPT series produces offending prejudiced outputsJerome Pesenti, head AI Facebook, raised comparable issues, noting program developed utilizing GPT3 compose tweets single input word produced offending messages like holocaust environmental sense, people agree moral. In Twitter thread, Pesenti stated wanted OpenAI actually careful programs rollout, Altman responded keeping mind program set massive launch, OpenAI actually included toxicity filter beta.Some AI world believe criticisms fairly unimportant, arguing GPT3 recreating human predispositions discovered training information, hazardous declarations extracted line. But probably connection prejudiced outputs undependable ones indicate bigger issue. Both outcome indiscriminate method GPT3 deals information, human guidance guidelines. This actually allowed design scale, fact human labor needed arrange information resource extensive useful. But likewise developed programsflaws.Putting aside, however, diverse surface GPT3s existing strengths weak points, state capacity future area command?For AGI success, merely include information calculateHere, some, skys limitation. They note GPT3s output mistake susceptible, true value depends capability jobs guidance enhancements provided simply leveraging higher scale. What makes GPT3 fantastic, state, inform capital Paraguay Asunci n 466 times 23.5 10,987 not, responding concerns merely fact trained information longer programs. If theres understand world developing increasingly of, information calculating power, implies GPT3s forefathers going smart.This idea enhancement scale extremely crucial. It goes right heart huge argument future AI: develop AGI utilizing existing tools, require brandnew essential discoveries? Theres agreement response AI professionals lots argument. The primary department follows. One camp argues missing essential elements produce synthetic minds; systems require comprehend things like cause effect prior approach humanlevel intelligence. The camp states history field reveals anything, issues AI are, truth, mainly resolved merely tossing information processing power them.The Bitter Lesson: qualityThe argument notoriously essay called The Bitter Lesson researcher RichSutton In it, keeps mind scientists actually attempted produce AI programs based human understanding particular guidelines, actually usually beaten competitors merely leveraged information calculation. Its bitter lesson fact reveals attempting hand valuable human resourcefulness work half merely letting systems calculate. As Sutton composes: The biggest lesson read 70 years AI research general methods leverage computation ultimately effective, large margin.This idea concept quality course GPT actually followed now. The concern is: course us?If OpenAI ability increase size GPT design 100 times simply year, huge GPTN need prior dependable human? How information require past errors end tough identify vanish completely? Some actually argued approaching limits language designs accomplish; state theres space enhancement. As kept mind AI scientist Geoffrey Hinton tweeted, tongueincheek: Extrapolating spectacular performance GPT3 future suggests answer life, universe 4.398 trillion parameters.If systems teach themselves, required?Hinton joking, proposal seriously. Branwen states thinks theres small nontrivial chance GPT3 represents latest step longterm trajectory leads AGI, merely fact design reveals center watched knowing. Once begin feeding programs infinite piles raw data sitting raw sensory streams, argues, whats stop building model world knowledge it? In words, soon teach systems truly teach themselves, lesson required?Many doubtful forecasts, deserves considering future GPT programs appear like. Imagine text program access overall human understanding discuss subject ask fluidity preferred instructor perseverance device. Even program, supreme, allknowing autocomplete, didnt satisfy particular meaning AGI, tough envision better development. All need ask best concerns. 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https://www.livemint.com/companies/news/pnb-turns-to-ai-to-curtail-loan-frauds-11603903929444.html
2020-10-29T00:00:00
en
PNB turns to AI to curtail loan frauds
PNB turns to AI to curtail loan frauds Explore Sign ine-paperNew Thursday, 29 October 2020 SubscribeSearche-paperNewPodcastsNewNotificationsNewslettersTop SectionsNewsCompaniesNewsStart-upsCompany ResultsPeopleTechnologyGadgetsTech ReviewsApp NewsFoldable Smartphones5G TechMarketsStock MarketsCommoditiesMark To MarketIPOLive BlogMoneyPersonal FinanceQ&AMutual FundsMint 50 - Top Mutual FundsNewsInsuranceOpinionViewsColumnsBlogsAuto NewsSportsIndustryBankingInfotechInfrastructureAgricultureManufacturingEnergyRetailVideosIndia Investment SummitAnnual Banking ConclaveMint ExplainersMarket AnalysisWhy Not Mint MoneyBusiness of EntertainmentLong Story CapsuleMint Views Start-Up DiariesMoney With MonikaMint InsightDigital GurusBrand MastersEducationBrand StoriesPhotosPoliticsExplore MintAbout UsContact UsSITEMAPRSSTerms of UseSubscriber - Terms of UseCookie PolicyPrint SubscriptionPrivacy PolicyDisclaimerMint CodeMint AppsLM Brand StoriesMint EventsCopyright © HT Digital Streams Limited All rights reserved. HomeLatest TrendingMy Reads Plain FactsPrimerLong ReadsPivot Or PerishMoney With Monika, Season 3Mint Money ConversationCoronavirus Vaccine TrackerUS Presidential Elections 2020Market DashboardPodcasts Home >Companies >News >PNB turns to AI to curtail loan frauds The lender has put out a public notice seeking bids from interested parties. (Photo: Mint) PNB turns to AI to curtail loan frauds 2 min read . Updated: 29 Oct 2020, 08:30 AM IST Shayan Ghosh Bank to deploy a system that will crawl the web for info on borrowersSome of the alerts sought by PNB are AI, web crawling, and optical character recognition Share Via Read Full Story Lenders such as Punjab National Bank (PNB) are looking to deploy an artificial intelligence (AI)-enabled early warning system that will crawl the web for information on borrowers’ activities, including news articles and social media interactions. Having burnt its fingers in the Nirav Modi scam and seen quite a few wilful defaults, PNB has decided to outsource its early warning signal (EWS) system. So far, the bank has been using an in-house system but wants it revamped. Some of the capabilities sought by the bank are AI, web crawling, and optical character recognition (OCR) for triggering the early warning signal. The bank has put out a public notice seeking bids from interested parties. According to the notice, the bank wants a solution capable of giving early warning signals on a dynamic basis, based on information collected from various internal and external sources. This, the bank said, will aid timely corrective action in such loan accounts. Indian banks have not been very quick in detecting frauds, including the ₹11,000-crore Nirav Modi case, which went undetected for years. Worried about rising fraud in banks and delays in these being reported, the Reserve Bank of India (RBI) in 2015 took steps to address the problem. Based on the recommendations of an internal working group, the central bank introduced the practice of red-flagging a loan account as part of an early-warning system aimed at helping banks identify suspicious accounts. “These signals in a loan account should immediately put the bank on alert regarding a weakness or wrongdoing which may ultimately turn out to be fraudulent. A bank cannot afford to ignore such EWS but must instead use them as a trigger to launch a detailed investigation into a red-flagged account," RBI said in 2015. Meanwhile, PNB reported bad loans of over ₹1 trillion or 14.11% of its aggregate loans as of 30 June. Some of the alerts sought by PNB are for non-achievement of projected financials given at the time of sanction; if the financials submitted to a bank are different which were submitted to regulatory authorities; any time or cost overrun or any negative development which may hamper cash flow from the project; and verification and genuineness of receivables and debtors including overseas debtor, among others. The central bank has also acknowledged the application of AI to the fintech industry in the form of automated data analysis, chatbots and robot-advisers. “AI is being employed to detect fraud by monitoring patterns of customer behaviour," it said in June. Experts believe India trails some other nations in AI usage. While adoption of AI in finance and banking in India has been growing, most of the applications are still support-related and not meant for decision making, unlike China where many of the critical tasks like loan sanctions are now being handled by AI, Dilip Asbe, chief executive of National payments Corporation of India (NPCI) said earlier this month. Subscribe to Mint Newsletters * Enter a valid email * Thank you for subscribing to our newsletter. Share Via Click here to read the Mint ePaperMint is now on Telegram. Join Mint channel in your Telegram and stay updated with the latest business news. Close No NetworkServer IssueInternet Not AvailableWait for it…Log in to our website to save your bookmarks. It'll just take a moment.Yes, Continue Your session has expired, please login again.Yes, Continue xCongratulations!You are now subscribed to our newsletters. 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PNB turns to AI to curtail loan frauds
PNB turns AI curtail loan frauds Explore Sign inepaperNew Thursday, 29 October 2020 epaperNewPodcastsNewNotificationsNewslettersTop SectionsNewsCompaniesNewsStartupsCompany ResultsPeopleTechnologyGadgetsTech ReviewsApp NewsFoldable Smartphones5G TechMarketsStock MarketsCommoditiesMark To MarketIPOLive BlogMoneyPersonal FinanceQAMutual FundsMint 50 Top Mutual FundsNewsInsuranceOpinionViewsColumnsBlogsAuto NewsSportsIndustryBankingInfotechInfrastructureAgricultureManufacturingEnergyRetailVideosIndia Investment SummitAnnual Banking ConclaveMint ExplainersMarket AnalysisWhy Not Mint MoneyBusiness EntertainmentLong Story CapsuleMint Views StartUp DiariesMoney With MonikaMint InsightDigital GurusBrand MastersEducationBrand StoriesPhotosPoliticsExplore Mint UsSITEMAPRSSTerms User Terms Use PolicyPrint SubscriptionDisclaimerMint CodeMint AppsLM Brand StoriesMint Events HT Digital Streams Limited . HomeLatest TrendingMy Reads Plain FactsPrimerLong ReadsPivot Or PerishMoney With Monika, Season 3Mint Money ConversationCoronavirus Vaccine TrackerUS Presidential Elections 2020Market DashboardPodcasts Home >Companies >News >PNB turns AI curtail loan frauds The lender public notice seeking bids interested parties. Photo: Mint PNB turns AI curtail loan frauds 2 min read . Updated: 29 Oct 2020, 08:30 AM IST Shayan Ghosh Bank deploy crawl web info borrowersSome alerts sought PNB AI, web crawling, optical character recognition Share Via Read Full Story Lenders Punjab National Bank PNB looking deploy artificial intelligence AIenabled early warning crawl web information borrowers activities, including news articles social media interactions. Having burnt fingers Nirav Modi scam seen wilful defaults, PNB decided outsource early warning signal EWS system. So far, bank inhouse wants revamped. Some capabilities sought bank AI, web crawling, optical character recognition OCR triggering early warning signal. The bank public notice seeking bids interested parties. According notice, bank wants solution capable giving early warning signals dynamic basis, based information collected internal external sources. This, bank said, aid timely corrective action loan accounts. Indian banks quick detecting frauds, including 11,000crore Nirav Modi case, went undetected years. Worried rising fraud banks delays reported, Reserve Bank India RBI 2015 took steps address problem. Based recommendations internal working group, central bank introduced practice redflagging loan account earlywarning aimed helping banks identify suspicious accounts. These signals loan account immediately bank alert weakness wrongdoing ultimately turn fraudulent. A bank afford ignore EWS instead use trigger launch detailed investigation redflagged account, RBI said 2015. Meanwhile, PNB reported bad loans 1 trillion 14.11 aggregate loans 30 June. Some alerts sought PNB nonachievement projected financials given time sanction; financials submitted bank different submitted regulatory authorities; time cost overrun negative development hamper cash flow project; verification genuineness receivables debtors including overseas debtor, others. The central bank acknowledged application AI fintech industry form automated data analysis, chatbots robotadvisers. AI employed detect fraud monitoring patterns customer behaviour, said June. Experts believe India trails nations AI usage. While adoption AI finance banking India growing, applications supportrelated meant decision making, unlike China critical tasks like loan sanctions handled AI, Dilip Asbe, chief executive National payments Corporation India NPCI said earlier month. Mint Newsletters Enter valid email Thank subscribing newsletter. Share Via Click read Mint ePaperMint Telegram. Join Mint channel Telegram stay updated latest business news. Close No NetworkServer IssueInternet Not AvailableWait itLog website save bookmarks. Itll moment.Yes, Continue Your session expired, login again.Yes, Continue xCongratulationsYou subscribed newsletters. In case email side, check spam folder. Change password My Reads Redeem Gift Card Logout
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Blockchain and AI meets: Top Applications and trends
Blockchain and AI meets: Top Applications and trendsLOGINYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakers-IndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginDisclaimer: This is a user generated content for MyStory, a YourStory initiative to enable its community to contribute and have their voices heard. The views and writings here reflect that of the author and not of YourStory.TechBlockchain and AI meets: Top Applications and trendsBy Candace Flynn|14th Oct 2020Blockchain and AI are two cutting edge technologies. But what they can achieve if they can assist each other?0 claps+0 Share on0 claps+0 Share onShare onTechnology is evolving day by day. We can see the emergence of one or two newly evolving technologies every decade. The most prominent among the recently evolved cutting edge technologies are Blockchain and Artificial Intelligence. These two technologies have gathered a great place in the current scenario. This is because of the field of application and their benefit to this present world. As we are familiar with the exceptional individual functioning of blockchain and Artificial Intelligence, no one would have thought of combining these two technologies. This will definitely have considerable benefits as it can be applied in many fields. Also, it stands out as a trendsetter in the current decade. So, in this blog, we can know about the top-notch applications and the technology trends that the duo will bring in.Why Blockchain and Artificial Intelligence combo?Automated machines and thinking robots is not a mere imagination from this decade as the humankind has advanced by implementing those into reality. Blockchain is a security software to protect the data from being theft or cyber-attacked. Artificial intelligence is neural network of a machine that helps it to think. Shortly, the machine itself takes its own decision using the current market trends and helps the services to be conducted swiftly. Also, Blockchain is not only a security software, it also helps in interlinking of the management process to help the machine work efficiently. That is the reason why blockchain is used in wide amounts of service industries. Both are unique in their own aspect. But there are certain differences between the Blockchain and the AI.Difference between the  Blockchain and AI:Head and Tails:Artificial Intelligence is a centralized technology whereas the Blockchain is a decentralized technology.  Artificial Intelligence works on a huge platform managing an enormous amount of data and massive computation algorithms. It can make huge tasks easier by picking up the required data from the huge data cloud. But the theory of blockchain is the mere opposite. Blockchain is a decentralised technology. They work on storing data in a simplified format in terms of a block. Each block will contain particular information about a transaction or communication. They are ledgered with the assistance of cryptography and maintained under a hash. Openness and closedness:Blockchain is known for its transparency and openness. The entire function of the blockchain is transparent and hence it gets accepted by the entrepreneurs for their security perspective. That is the reason why Blockchain got a huge demand despite its initiation with a no-regulation digital currency “Bitcoin”. But, coming to Artificial intelligence, the entire system is more complex and difficult to understand. Yes, the statistical algorithms need a knowledge and understanding of linear algebra and other mathematical solutions like topography, while some others need advanced learning in other such techniques which makes us very hard to understand. Hence Artificial intelligence is considered as a “contraption”.Benefits of merging AI with Blockchain:AI and Blockchain, when working separately have their unique functionality but to perform a task effectively, they need to be interdependent. Think of this. AI conducts various operations and take quicker decisions but there are certain doubts on their encryption. Their security system is not so secure. If the Blockchain is integrated with the AI- machine learning techniques, then the encryption becomes assured that the AI will perform better than before. Tracking the decisions:As we know, AI makes quick decisions. It is one of the efficient tools in the digital marketing field, but it is the blockchain that can segregate and track the decisions made by AI. it is because AI is a complex mechanism that is hard to understand its functionality and decision making a prediction. Despite being the decisions made by the machines are accurate, there is a need for checking by humans to consider the flaws in the system. So recording the transactions and ledgering the decisions will help the user to take out the necessary decision where it went wrong.  It can help him to analyze it, and make necessary changes to make it right in the future.Auditing becomes easy if it is simplified. For instance, a huge store uses AI to feed the transactional data of a month’s worth, then that organization can feel it hard to revise or analyze it. But if it is stored in a database on a compact basis segregated by blocks, then it is easy to handle.Better Handling:AI can handle blockchain more effectively than humans. With the right training data, the AI can manage the blockchain and its mechanism as it is fed with code-cracking capability. Both are magnanimous technologies with an impeccable performance in their own fields and can perform even better if they are merged together.Current trends in merging the two technologies:Blockchain and AI merging will be used in three major industries: Finance, AI marketplaces, and Crowdsourcing predictive marketing arenas. In finance, especially in investment management platforms, the merger will be more useful. Nowadays, Blockchain is more prevalently used in the banking sector for interoperability. With the assistance of AI, Blockchain can further enhance its interoperable mechanism. Adoption in businesses:Business ventures are understanding the adoption of AI and machine learning techniques in their companies. And now the introduction of blockchain for security and interoperability is a gift for them. Adopting the merger of these two cutting edge technologies will reduce the complexity in manual revision and decision making despite the faster decision making done by AI. The thing to consider is its credibility. The higher the credibility, the more the company will manage to operate the merging technology. This is not like the company will have to invest huge amounts to adopt this technology. But it needs to be credible.The applications where the merger will work out fine are multifarious: some of them are discussed below:Efficient computing technology:Blockchain provides you the necessary encryption to your computing but it will take an enormous amount of processing power which is to be defined as the “Brute force approach”. AI comes as help in providing efficient solutions to the processing techniques. It will align the flow of data in an appropriate manner by providing the data in real-time. Diversifying data sets:Blockchain and AI can provide a diversified data approach. Blockchain stores the information by hashing it in blocks providing the user to pick the necessary information at that particular time. So, to be short, Blockchain is a decentralized artificial intelligence. It also helps in a wide perspective. Think of intercommunication between different AI’s. That is amazing right. This is possible with the merger of Blockchain and AI. Data protection and security:It is obvious. Blockchain provides encryption and AI stores massive data. Apart from the centralization factors, the data is completely protected and secured.Final words:Data handling is one of a mighty task and if it is happening so smoothly with the help of two emergent technologies; Man, we are all blessed. The above said benefits and the trends will further enhance the area of applications of the merger technologies - Blockchain and AI. Get access to select LIVE keynotes and exhibits at TechSparks 2020. In the 11th edition of TechSparks, we bring you best from the startup world to help you scale & succeed. Register now! #TechSparksFromHomeblockchain based applicationsBlockchain and AIBlockchain and AI applicationsBlockchain trends0 Shares+0 Share on0 Shares+0 Share onShare onTrending NowTrending StoriesHow to Find Deleted Messages on Facebook Messenger in AndroidChandra Shekhar ChoudharyMGT-7: What is it and who are eligible for filling this formJatin Kapoor iPhone Vs Android: Reasons to pick the iPhone over AndroidDebra SandersTop five free apps to Convert your YouTube video files into MP3 audio filesArpita AryaDaily CapsuleImpact of Farm Bills 2020 on farmer incomes and agritech startups Read the full storyLatestUpdates from around the worldBest Practices for B2B Social Media Marketing in 2020Shubham SaxenaWorld Mental Health Day - 9 ways to build resiliencePayal SharmaHow blockchain affects digital marketing?Sahil KashyapWhat Is Seed-Funding In Startup And How Does It Work?Abdul MominPositiveTea - My mother’s remedy in times of CovidAditi KapurHR leaders know the Best Talent Can Drive InnovationNiti SharmaSign up for our Daily NewsletterI AM INOur Partner EventsHustle Across India17OctEximius 2020IIM BangaloreView DetailsSee all Partner EventsDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. 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Blockchain and AI meets: Top Applications and trends
Blockchain AI meets: Top Applications trendsLOGINYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakersIndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduDisclaimer: This user generated content MyStory, YourStory initiative enable community contribute voices heard. The views writings reflect author YourStory.TechBlockchain AI meets: Top Applications trendsBy Candace Flynn14th Oct 2020Blockchain AI cutting edge technologies. But achieve assist other?0 claps0 Share on0 claps0 Share onShare onTechnology evolving day day. We emergence newly evolving technologies decade. The prominent recently evolved cutting edge technologies Blockchain Artificial Intelligence. These technologies gathered great place current scenario. This field application benefit present world.As familiar exceptional individual functioning blockchain Artificial Intelligence, thought combining technologies. This definitely considerable benefits applied fields. Also, stands trendsetter current decade. So, blog, know topnotch applications technology trends duo bring in.Why Blockchain Artificial Intelligence combo?Automated machines thinking robots mere imagination decade humankind advanced implementing reality.Blockchain security software protect data theft cyberattacked. Artificial intelligence neural network machine helps think. Shortly, machine takes decision current market trends helps services conducted swiftly. Also, Blockchain security software, helps interlinking management process help machine work efficiently. That reason blockchain wide amounts service industries.Both unique aspect. But certain differences Blockchain AI.Difference Blockchain AI:Head Tails:Artificial Intelligence centralized technology Blockchain decentralized technology. Artificial Intelligence works huge platform managing enormous data massive computation algorithms. It huge tasks easier picking required data huge data cloud. But theory blockchain mere opposite. Blockchain decentralised technology. They work storing data simplified format terms block. Each block contain particular information transaction communication. They ledgered assistance cryptography maintained hash.Openness closedness:Blockchain known transparency openness. The entire function blockchain transparent gets accepted entrepreneurs security perspective. That reason Blockchain got huge demand despite initiation noregulation digital currency Bitcoin.But, coming Artificial intelligence, entire complex difficult understand. Yes, statistical algorithms need knowledge understanding linear algebra mathematical solutions like topography, need advanced learning techniques makes hard understand. Hence Artificial intelligence considered contraption.Benefits merging AI Blockchain:AI Blockchain, working separately unique functionality perform task effectively, need interdependent. Think this. AI conducts operations quicker decisions certain doubts encryption. Their security secure. If Blockchain integrated AI machine learning techniques, encryption assured AI perform better before.Tracking decisions:As know, AI makes quick decisions. It efficient tools digital marketing field, blockchain segregate track decisions AI. AI complex mechanism hard understand functionality decision making prediction.Despite decisions machines accurate, need checking humans consider flaws system. So recording transactions ledgering decisions help user necessary decision went wrong. It help analyze it, necessary changes right future.Auditing easy simplified. For instance, huge store uses AI feed transactional data months worth, organization feel hard revise analyze it. But stored database compact basis segregated blocks, easy handle.Better Handling:AI handle blockchain effectively humans. With right training data, AI manage blockchain mechanism fed codecracking capability.Both magnanimous technologies impeccable performance fields perform better merged together.Current trends merging technologies:Blockchain AI merging major industries: Finance, AI marketplaces, Crowdsourcing predictive marketing arenas. In finance, especially investment management platforms, merger useful. Nowadays, Blockchain prevalently banking sector interoperability. With assistance AI, Blockchain enhance interoperable mechanism.Adoption businesses:Business ventures understanding adoption AI machine learning techniques companies. And introduction blockchain security interoperability gift them. Adopting merger cutting edge technologies reduce complexity manual revision decision making despite faster decision making AI. The thing consider credibility. The higher credibility, company manage operate merging technology. This like company invest huge amounts adopt technology. But needs credible.The applications merger work fine multifarious: discussed below:Efficient computing technology:Blockchain provides necessary encryption computing enormous processing power defined Brute force approach. AI comes help providing efficient solutions processing techniques. It align flow data appropriate manner providing data realtime.Diversifying data sets:Blockchain AI provide diversified data approach. Blockchain stores information hashing blocks providing user pick necessary information particular time. So, short, Blockchain decentralized artificial intelligence. It helps wide perspective. Think intercommunication different AIs. That amazing right. This possible merger Blockchain AI.Data protection security:It obvious. Blockchain provides encryption AI stores massive data. Apart centralization factors, data completely protected secured.Final words:Data handling mighty task happening smoothly help emergent technologies; Man, blessed. The said benefits trends enhance area applications merger technologies Blockchain AI. Get access select LIVE keynotes exhibits TechSparks 2020. In 11th edition TechSparks, bring best startup world help scale succeed. TechSparksFromHomeblockchain based applicationsBlockchain AIBlockchain AI applicationsBlockchain trends0 Shares0 Share on0 Shares0 Share onShare onTrending NowTrending StoriesHow Find Deleted Messages Facebook Messenger AndroidChandra Shekhar ChoudharyMGT7: What eligible filling formJatin Kapoor iPhone Vs Android: Reasons pick iPhone AndroidDebra SandersTop free apps Convert YouTube video files MP3 audio filesArpita AryaDaily CapsuleImpact Farm Bills 2020 farmer incomes agritech startups Read storyLatestUpdates worldBest Practices B2B Social Media Marketing 2020Shubham SaxenaWorld Mental Health Day 9 ways build resiliencePayal SharmaHow blockchain affects digital marketing?Sahil KashyapWhat Is SeedFunding In Startup And How Does It Work?Abdul MominPositiveTea My mothers remedy times CovidAditi KapurHR leaders know Best Talent Can Drive InnovationNiti SharmaSign Daily NewsletterI AM INOur Partner EventsHustle Across India17OctEximius 2020IIM BangaloreView DetailsSee Partner EventsDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. 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https://thedailyphiladelphian.com/news/190795/global-tracheobronchial-stent-grafts-market-revenue-strategy-2026-bard-peripheral-vascular-c-r-bard-w-l-gore-associates-etc/
2020-11-16T00:00:00
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Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore & Associates, etc. – The Daily Philadelphian
Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore & Associates, etc. – The Daily Philadelphian Skip to content Mon. Nov 16th, 2020 The Daily Philadelphian Market Research Emerging Trends Market Reports All news Contact News Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore & Associates, etc. ByAlex Nov 16, 2020 Tracheobronchial Stent Grafts Market, Tracheobronchial Stent Grafts Market Analysis, Tracheobronchial Stent Grafts Market Forecast, Tracheobronchial Stent Grafts Market players, Tracheobronchial Stent Grafts Market scope, Tracheobronchial Stent Grafts Market share, Tracheobronchial Stent Grafts Market size, Tracheobronchial Stent Grafts Market Trends “ The Global Tracheobronchial Stent Grafts Market report by IndustryGrowthInsights provides a detailed analysis of the area marketplace expanding; competitive landscape; global, regional, and country-level market size; market growth analysis; market share; opportunities analysis; product launches; recent developments; sales analysis; segmentation growth; technological innovations; and value chain optimization. The report offers a comprehensive list of key players, their strategies they adopt to sustain in the market. All of this and more information is covered in XXX pages. The Coronavirus (COVID-19) pandemic has affected every aspect of life worldwide. It has forced various industries to re-evaluate their strategies and adopt new ones to sustain during these trying times. The latest report includes the current COVID-19 impact on the market. Get PDF Sample Brochure: https://industrygrowthinsights.com/request-sample/?reportId=216851 The global Tracheobronchial Stent Grafts market report is a comprehensive analysis of the current and future analysis, which is based on historic data. This provides the reader with quantified data, enabling them to take well informed business decisions. The report has been written using primary and secondary research. It includes predictive analysis, Porter’s 5 force analysis, SWOT analysis, and real-time analytics. Several graphs have been provided to support the data and for a clear understanding of various facts and figures. The report has been divided into product types, application, end-users, and regions. These segments provide accurate calculations and forecasts for sales in terms of volume and value. This analysis can help customers increase their business and to take calculated decisions. The Global Tracheobronchial Stent Grafts Market Report has been Segments into: Global Tracheobronchial Stent Grafts Market Size & Share, By Product Types, Main Tracheal StentBronchial Stent Global Tracheobronchial Stent Grafts Market Size & Share, By Applications, HospitalsAmbulatory Surgical Centers Global Tracheobronchial Stent Grafts Market Size & Share, By Regions and Countries/Sub-regions, Asia Pacific: China, Japan, India, and Rest of Asia Pacific Europe: Germany, the UK, France, and Rest of Europe North America: the US, Mexico, and Canada Latin America: Brazil and Rest of Latin America Middle East & Africa: GCC Countries and Rest of Middle East & Africa Customize Report And Inquiry For The Tracheobronchial Stent Grafts Market Report: https://industrygrowthinsights.com/enquiry-before-buying/?reportId=216851 The regional analysis segment is a highly comprehensive part of the report on the global Tracheobronchial Stent Grafts market. This section offers information on the sales growth in these regions on a country-level Tracheobronchial Stent Grafts market. The historical and forecast information provided in the report span between 2018 and 2026. The report provides detailed volume analysis and region-wise market size analysis of the market. The key players covered in this study BARD Peripheral VascularC.R. BardW. L. Gore & Associates … Competitive Landscape of the Tracheobronchial Stent Grafts Market The chapter on competitive landscape provides information about key company overview, global presence, sales and revenue generated, market share, prices, and strategies used. Our analysts engage in extensive primary and secondary research to cull out in-depth and authentic information. Primary research includes gathering information from official government and company websites, journals, and reports. Secondary research includes interviews conducted with VPs, chairmen, directors, and other distinguished sales managers. Contact our sales team who will guarantee you to get a customized report that suits your specific needs. Avail the Discount on this Report: https://industrygrowthinsights.com/ask-for-discount/?reportId=216851 The Tracheobronchial Stent Grafts Market Report Addresses: Market definition Estimated market size (historic and future) Information about individual segments Dominant and fast growing segments Key regions of the market Governing bodies and regulations Drivers, restraints, and opportunities in the market The Report Provides: Market overview Comprehensive analysis of the market Recent developments in the market Market development over the past few years Emerging segments and regional markets Segmentations up to the second and/or third level Historical, current, and estimated market size, in terms of value and volume Competitive analysis having company overview, products, revenue, and strategies Strategic recommendations that help companies increase their market presence Purchase Full Report: https://industrygrowthinsights.com/checkout/?reportId=216851 About Us: Our reports are more than just research reports to us. They are tools that enable us to maintain long-term relationships with our clients whom we honor and cherish. Our client’s business growth is integral for not only them but also us. This is what differentiates us from other market research companies. At IGI, we provide our expertise and guideline for success. Our team of efficient and experienced researchers and consultants provide progressive market intelligence reports that are accurate, authentic, and in-depth. This empowers the clients to make well-informed decisions. Moreover, we offer market intelligence studies, ensuring relevant and fact-based research across a range of industries including chemicals and materials, energy, automobile, healthcare, consumer goods, and technology. Our deep understanding of many business environments across industries such as those mentioned above allows us to deliver tailor-made reports. Contact Us: Name – Alex Mathews Phone No.: +1 909 545 6473 Email – [email protected]  Website – https://industrygrowthinsights.com  Address – 500 East E Street, Ontario, CA 91764, United States. ” Post navigation Construction Cost Estimating Software Market Future Scope Competitive Analysis and Revenue till 2025 Impact Of Covid-19 On Tracheobronchial Stents Market Comprehensive Growth 2020-2027 With Top Key Vendor Boston Scientific, Merit Medical, C.R. Bard, Taewoong Medical, Micro-Tech (Nanjing), Teleflex, Merit Medical Systems, Cook Group, Novatech Sa, Endo-Flex, M.I. Tech, Efer Endoscopy, Fuji Systems, Hood Laboratories By Alex Related Post All news Coronavirus Emerging Trends Market Reports Market Research News Extreme Tourism Market to Record Ascending Growth with Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Nov 16, 2020 ri All news Market Reports News Production Planning Software Market 2019 Global Industry Segmentation and Valuable Growth Prospects by Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Nov 16, 2020 ri All news News Home Care Products Market along with its revenue share by: Medline Industries Inc.,, The Clorox Company, Procter & Gamble, Church & Dwight Nov 16, 2020 ri Recent Posts Extreme Tourism Market to Record Ascending Growth with Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Production Planning Software Market 2019 Global Industry Segmentation and Valuable Growth Prospects by Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Makeup Remover Products Market Projected to Show Strong Growth by 2026 with Top Key Companies like L’Oréal S.A., LVMH, Johnsons & Johnsons, Shiseido Company, Limited Hydrophobic Coating Market Trends & Forecast to 2026- Industry Analysis by Geographical Regions, Type and Application Home Care Products Market along with its revenue share by: Medline Industries Inc.,, The Clorox Company, Procter & Gamble, Church & Dwight You missed All news Coronavirus Emerging Trends Market Reports Market Research News Extreme Tourism Market to Record Ascending Growth with Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Nov 16, 2020 ri All news Market Reports News Production Planning Software Market 2019 Global Industry Segmentation and Valuable Growth Prospects by Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Nov 16, 2020 ri Market Reports Market Research Makeup Remover Products Market Projected to Show Strong Growth by 2026 with Top Key Companies like L’Oréal S.A., LVMH, Johnsons & Johnsons, Shiseido Company, Limited Nov 16, 2020 ri All news Hydrophobic Coating Market Trends & Forecast to 2026- Industry Analysis by Geographical Regions, Type and Application Nov 16, 2020 mangesh The Daily Philadelphian Proudly powered by WordPress | Theme: Newsup by Themeansar. 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Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore & Associates, etc.
Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore Associates, etc. The Daily Philadelphian Skip content Mon. Nov 16th, 2020 The Daily Philadelphian Market Research Emerging Trends Market Reports All news News Global Tracheobronchial Stent Grafts Market Revenue Strategy 2026: BARD Peripheral Vascular, C.R. Bard, W. L. Gore Associates, etc. ByAlex Nov 16, 2020 Tracheobronchial Stent Grafts Market, Tracheobronchial Stent Grafts Market Analysis, Tracheobronchial Stent Grafts Market Forecast, Tracheobronchial Stent Grafts Market players, Tracheobronchial Stent Grafts Market scope, Tracheobronchial Stent Grafts Market share, Tracheobronchial Stent Grafts Market size, Tracheobronchial Stent Grafts Market Trends The Global Tracheobronchial Stent Grafts Market report IndustryGrowthInsights provides detailed analysis area marketplace expanding; competitive landscape; global, regional, countrylevel market size; market growth analysis; market share; opportunities analysis; product launches; recent developments; sales analysis; segmentation growth; technological innovations; value chain optimization. The report offers comprehensive list key players, strategies adopt sustain market. All information covered XXX s. The Coronavirus COVID19 pandemic affected aspect life worldwide. It forced industries reevaluate strategies adopt new ones sustain trying times. The latest report includes current COVID19 impact market. Get PDF Sample Brochure: The global Tracheobronchial Stent Grafts market report comprehensive analysis current future analysis, based historic data. This provides reader quantified data, enabling informed business decisions. The report written primary secondary research. It includes predictive analysis, Porters 5 force analysis, SWOT analysis, realtime analytics. Several graphs provided support data clear understanding facts figures. The report divided product types, application, endusers, regions. These segments provide accurate calculations forecasts sales terms volume value. This analysis help customers increase business calculated decisions. The Global Tracheobronchial Stent Grafts Market Report Segments into: Global Tracheobronchial Stent Grafts Market Size Share, By Product Types, Main Tracheal StentBronchial Stent Global Tracheobronchial Stent Grafts Market Size Share, By Applications, HospitalsAmbulatory Surgical Centers Global Tracheobronchial Stent Grafts Market Size Share, By Regions CountriesSubregions, Asia Pacific: China, Japan, India, Rest Asia Pacific Europe: Germany, UK, France, Rest Europe North America: US, Mexico, Canada Latin America: Brazil Rest Latin America Middle East Africa: GCC Countries Rest Middle East Africa Customize Report And Inquiry For The Tracheobronchial Stent Grafts Market Report: The regional analysis segment highly comprehensive report global Tracheobronchial Stent Grafts market. This section offers information sales growth regions countrylevel Tracheobronchial Stent Grafts market. The historical forecast information provided report span 2018 2026. The report provides detailed volume analysis regionwise market size analysis market. The key players covered study BARD Peripheral VascularC.R. BardW. L. Gore Associates Competitive Landscape Tracheobronchial Stent Grafts Market The chapter competitive landscape provides information key company overview, global presence, sales revenue generated, market share, prices, strategies used. Our analysts engage extensive primary secondary research cull indepth authentic information. Primary research includes gathering information official government company websites, journals, reports. Secondary research includes interviews conducted VPs, chairmen, directors, distinguished sales managers. sales team guarantee customized report suits specific needs. Avail Discount Report: The Tracheobronchial Stent Grafts Market Report Addresses: Market definition Estimated market size historic future Information individual segments Dominant fast growing segments Key regions market Governing bodies regulations Drivers, restraints, opportunities market The Report Provides: Market overview Comprehensive analysis market Recent developments market Market development past years Emerging segments regional markets Segmentations second andor level Historical, current, estimated market size, terms value volume Competitive analysis company overview, products, revenue, strategies Strategic recommendations help companies increase market presence Purchase Full Report: : Our reports research reports us. They tools enable maintain longterm relationships clients honor cherish. Our clients business growth integral us. This differentiates market research companies. At IGI, provide expertise guideline success. Our team efficient experienced researchers consultants provide progressive market intelligence reports accurate, authentic, indepth. This empowers clients wellinformed decisions. Moreover, offer market intelligence studies, ensuring relevant factbased research range industries including chemicals materials, energy, automobile, healthcare, consumer goods, technology. Our deep understanding business environments industries mentioned allows deliver tailormade reports. Us: Name Alex Mathews Phone No.: 1 909 545 6473 Email [emailprotected] Website Address 500 East E Street, Ontario, CA 91764, United States. Post navigation Construction Cost Estimating Software Market Future Scope Competitive Analysis Revenue till 2025 Impact Of Covid19 On Tracheobronchial Stents Market Comprehensive Growth 20202027 With Top Key Vendor Boston Scientific, Merit Medical, C.R. Bard, Taewoong Medical, MicroTech Nanjing, Teleflex, Merit Medical Systems, Cook Group, Novatech Sa, EndoFlex, M.I. Tech, Efer Endoscopy, Fuji Systems, Hood Laboratories By Alex Related Post All news Coronavirus Emerging Trends Market Reports Market Research News Extreme Tourism Market Record Ascending Growth Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Nov 16, 2020 ri All news Market Reports News Production Planning Software Market 2019 Global Industry Segmentation Valuable Growth Prospects Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Nov 16, 2020 ri All news News Home Care Products Market revenue share by: Medline Industries .,, The Clorox Company, Procter Gamble, Church Dwight Nov 16, 2020 ri Recent Posts Extreme Tourism Market Record Ascending Growth Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Production Planning Software Market 2019 Global Industry Segmentation Valuable Growth Prospects Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Makeup Remover Products Market Projected Show Strong Growth 2026 Top Key Companies like LOral S.A., LVMH, Johnsons Johnsons, Shiseido Company, Limited Hydrophobic Coating Market Trends Forecast 2026 Industry Analysis Geographical Regions, Type Application Home Care Products Market revenue share by: Medline Industries .,, The Clorox Company, Procter Gamble, Church Dwight You missed All news Coronavirus Emerging Trends Market Reports Market Research News Extreme Tourism Market Record Ascending Growth Top Companies: Expedia, Priceline, China Travel, China CYTS Tours Holding, Carlson Wagonlit Travel, BCD Travel Nov 16, 2020 ri All news Market Reports News Production Planning Software Market 2019 Global Industry Segmentation Valuable Growth Prospects Top Key Players Analysis: Advanced Vision Technology, Y Soft Corporation, Konica Minolta, HP, Canon, Ricoh Nov 16, 2020 ri Market Reports Market Research Makeup Remover Products Market Projected Show Strong Growth 2026 Top Key Companies like LOral S.A., LVMH, Johnsons Johnsons, Shiseido Company, Limited Nov 16, 2020 ri All news Hydrophobic Coating Market Trends Forecast 2026 Industry Analysis Geographical Regions, Type Application Nov 16, 2020 mangesh The Daily Philadelphian Proudly powered WordPress Theme: Newsup Themeansar. 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https://www.forbes.com/sites/cognitiveworld/2020/02/23/choosing-between-rule-based-bots-and-ai-bots/
2020-02-24T00:00:00
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Choosing Between Rule-Based Bots And AI Bots
Choosing Between Rule-Based Bots And AI Bots Billionaires All Billionaires World's Billionaires Forbes 400 America's Richest Self-Made Women China's Richest India's Richest Indonesia's Richest Korea's Richest Thailand's Richest Japan's Richest Australia's Richest Taiwan's Richest Singapore's Richest Philippines' Richest Hong Kong's Richest Malaysia's Richest Money & Politics 2020 Money Innovation All Innovation 5G AI Anaplan BrandVoice | Paid Program Big Data CIO Network Cloud Cloud 100 Consumer Tech Cybersecurity Enterprise Tech Everbridge BrandVoice | Paid Program ExtraHop BrandVoice | Paid Program Games Green Tech Healthcare IBM Brandvoice | Paid Program Japan BrandVoice | Paid Program Kaiser Permanente | Paid Program Oracle BrandVoice | Paid Program SAP BrandVoice | Paid Program Science ServiceNow BrandVoice | Paid Program Social Media T-Mobile For Business BrandVoice | Paid Program Venture Capital Leadership All Leadership Careers CFO Network CMO Network Deloitte BrandVoice | Paid Program Diversity & Inclusion Education ForbesWomen Google Cloud BrandVoice | Paid Program Leadership Strategy Under 30 Money All Money Banking & Insurance Crypto & Blockchain ETFs & Mutual Funds Fintech Hedge Funds & Private Equity Investing Markets Personal Finance Refinitiv BrandVoice | Paid Program Retirement Taxes Wealth Management Business All Business Aerospace & Defense Business Reporter BrandVoice | Paid Program Energy Food & Drink Hollywood & Entertainment Manufacturing Media Mitsubishi Heavy Industries BrandVoice | Paid Program Policy Real Estate Retail SportsMoney Transportation Small Business All Small Business Entrepreneurs Franchises Small Business Strategy Lifestyle All Lifestyle Amway BrandVoice | Paid Program Arts Boats & Planes Capital One BrandVoice | Paid Program Cars & Bikes Dining ForbesLife Forbes Travel Guide Spirits Travel Vices Watches Lists Advisor All Advisor The Best Credit Cards Of 2020 Best Travel Credit Cards Best Business Credit Cards Best Credit Card Sign Up Bonuses Best Rewards Credit Cards Best Student Credit Cards Best Cash Back Credit Cards Best Balance Transfer Credit Cards Best Hotel Credit Cards Best Airline Credit Cards Best First Credit Cards Best Credit Cards For Bad Credit Chase Sapphire Preferred Card Citi Double Cash Card The Platinum Card From American Express Ink Business Preferred Credit Card Bank of America Premium Rewards Credit Card Chase Sapphire Reserve Card Featured 5 Innovations Changing The Future Of Food 30 Under 30 2020 AARP BrandVoice | Paid Program ABB BrandVoice | Paid Program Chase Home Lending BrandVoice | Paid Program Ciroc BrandVoice | Paid Program Cole Haan BrandVoice | Paid Program Courtyard Hotels BrandVoice | Paid Program DNA Of Success Forbes Analytics Plus With Teradata | Paid Program Forbes Insights With IBM Services | Paid Program Herradura BrandVoice | Paid Program Investor Forecast: 5 Key Trends Shaping Your Financial Future iShares BrandVoice | Paid Program Money 2020 Set Up For Success: Launch Your Small Business From Scratch Set Up For Success: Scale Your Small Business Vertiv Insights | Paid Program Voices Of Success Well Earned: The World's Wealthiest Celebrate New Milestones Breaking More Forbes Daily Cover Stories Forbes Editors' Picks Daily Dozen Briefing Crypto Confidential Newsletters Forbes Shopping Forbes Coupons Forbes 8 Forbes Video Dark Capital Forbes Magazine Investing Digest Free Issue of Forbes Choosing Between Rule-Based Bots And AI Bots Naveen Joshi Contributor COGNITIVE WORLD Contributor Group Opinions expressed by Forbes Contributors are their own. AI Share to facebook Share to twitter Share to linkedin Shutterstock Until a decade ago, the only option people had to reach out to a company was to call or email their customer service team. Now, companies offer a chat team to provide better round-the-clock customer service. According to a Facebook-commissioned study by Nielsen, 56% of people would prefer to message rather than call customer service, and that’s where bots come into play. Bots are revolutionizing the way companies interact with their customers. A decade ago, bots were considered a passing tech fad. However, that debate has been put to rest now as major companies like Amazon, Microsoft, Facebook and others have started deploying bots in almost every area of their business. The new debate brewing in the bot community is about the choice between rule-based bots or AI bots. Which one to choose? Which one is better? These are the questions on the minds of business leaders intending to utilize bots in their organizations. There are many factors that contribute to the efficiency of bots for different applications, and understanding these factors can help businesses make informed decisions as to choosing between rule-based versus AI bots. Deciding between rule-based bots and AI bots Building and deploying bots is now on most companies’ to-do lists, if they’re not already deployed. Nevertheless, most are confused about whether they should go with rule-based bots or AI bots. Let’s evaluate the pros and cons of each. Advantages of rule-based bots Rule-based bots can answer questions based on a predefined set of rules that are embedded into them. The set of rules can greatly vary in complexity. Building such rule-based bots is much simpler than building AI bots. Rule-based bots are generally faster to train. The bots are built on a conditional if/then basis, which makes them simpler to train. The rule-based bots can take action based on the outcome of the conditional statements. Easy training of rule-based bots simultaneously reduces implementation cost. The rule-based bots are highly accountable and secure. These bots cannot learn on their own and will provide the answers that the companies want them to provide. Since rule-based bots cannot self-learn, this ensures that they will provide consistent customer service. Rule-based bots can professionally hand over the conversation to a human agent if the customer asks something that is absent from the database. The practice to handover the conversation to the human agent ensures that no unnecessary information is conveyed to the customer. A rule-based approach also enables faster implementation of bots. Unlike AI bots, rule-based bots do not need to wait for years to gather data that can be analyzed by algorithms to understand customer problems and provide solutions. Rule-based bots can be easily implemented by embedding known scenarios and their outputs into them. These bots can then be embedded with more data according to new conversational patterns from new customer interactions. Although rule-based bots have many advantages, their limitations cannot be overlooked. Disadvantages of rule-based bots The problem with predefined rule-based bots is that they need to be embedded with rules for performing every small to complex task. If anything that is out of the database comes their way, then the rule-based bots hand over the conversation to humans. It means that rule-based bots cannot operate on a standalone basis; they need human intervention at some point. Another limitation of rule-based bots is that of personalized communication. Chatbots can service different people speaking different languages. In addition, not only the languages, but the way of communication also varies from person to person. For instance, to book a flight to Paris one person may say, “I want to book a flight to Paris,” and another may say, “I need a ticket to Paris.” Both statements mean the same thing, yet if the rule-based bot is unable to understand that, it will pass the conversation to a human which may frustrate the customer. Rule-based bots can be embedded with information from conversational patterns as time passes. Nevertheless, it becomes a challenge for developers to embed every possible scenario into rule-based bots. Although rule-based bots can be quickly implemented, they are hard to maintain after a certain length of time. Advantages of AI bots AI bots are self-learning bots that are programmed with Natural Language Processing (NLP) and Machine Learning. It takes a long time to train and build an AI bot initially. However, AI bots can save a lot of time and money in the long run. The use of AI bots works well with companies that have a lot of data as they can self-learn from the data. The self-learn ability of AI bots saves money, as unlike rule-based bots, they do not need to be updated after a certain interval of time. AI bots can be programmed to understand different languages and can address personalized communication challenges faced by rule-based bots. With the use of deep learning, AI bots can learn to read the emotions of a customer. These bots can interact with the customers based on their mood. For instance, a China-based startup, Emotibot, is helping to develop chatbots that can detect the current mood of the customer and respond accordingly. With constant learning, AI bots can help provide personalized customer service to enhance customer engagement. Since AI bots can handle customer queries from end-to-end without human interaction required, they can be deployed for round-the-clock customer service. Disadvantages of AI bots AI can make chatbots smart, but it cannot make them understand the context of human interactions. For example, humans can change their way of communication depending on with whom they are communicating. If they are communicating with small children they use simpler words and shorter sentences. In addition, when human employees communicate with clients they use a more formal tone. Since bots cannot understand the human context, they communicate with everyone in the same way, irrespective of age or gender. The self-learning ability of AI bots might seem helpful to businesses but it can cause trouble sometimes. AI bots do not possess an accurate decision-making quality, and thus can learn something that they are not supposed to. For instance, a chatbot named Tay started posting offensive tweets. The chatbot Tay got manipulated through social engineering tweets and started posting undesirable phrases like ‘Hitler was right,’ in a canned ‘Repeat after me….’ series of tweets. These advantages and disadvantages can help companies decide whether to use rule-based bots or AI bots, but only up to a certain extent. There are many other factors that enterprises should consider before implementing chatbots in their companies. Whether the bots will serve B2B or B2C, in what areas the bots will be deployed, and how the bots will be maintained are some factors to be considered. Rule-based bots and AI bots both have their own benefits and disadvantages, and both can be useful in their own ways. Enhanced customer service is king when it comes to the growth of a business. Understanding how different bots will improve their customer service ultimately helps them choose the best-suited bot for their business. Follow me on Twitter or LinkedIn. Check out my website. Naveen Joshi Naveen Joshi, columnist, is Founder and CEO of Allerin, which develops engineering and technology solutions focused on optimal customer experiences. Naveen works in AI, ... 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Choosing Between Rule-Based Bots And AI Bots
Choosing Between RuleBased Bots And AI Bots Billionaires All Billionaires Worlds Billionaires Forbes 400 Americas Richest SelfMade Women Chinas Richest Indias Richest Indonesias Richest Koreas Richest Thailands Richest Japans Richest Australias Richest Taiwans Richest Singapores Richest Philippines Richest Hong Kongs Richest Malaysias Richest Money Politics 2020 Money Innovation All Innovation 5G AI Anaplan BrandVoice Paid Program Big Data CIO Network Cloud Cloud 100 Consumer Tech Cybersecurity Enterprise Tech Everbridge BrandVoice Paid Program ExtraHop BrandVoice Paid Program Games Green Tech Healthcare IBM Brandvoice Paid Program Japan BrandVoice Paid Program Kaiser Permanente Paid Program Oracle BrandVoice Paid Program SAP BrandVoice Paid Program Science ServiceNow BrandVoice Paid Program Social Media TMobile For Business BrandVoice Paid Program Venture Capital Leadership All Leadership Careers CFO Network CMO Network Deloitte BrandVoice Paid Program Diversity lusion Education ForbesWomen Google Cloud BrandVoice Paid Program Leadership Strategy Under 30 Money All Money Banking Insurance Crypto Blockchain ETFs Mutual Funds Fintech Hedge Funds Private Equity Investing Markets Personal Finance Refinitiv BrandVoice Paid Program Retirement Taxes Wealth Management Business All Business Aerospace Defense Business Reporter BrandVoice Paid Program Energy Food Drink Hollywood Entertainment Manufacturing Media Mitsubishi Heavy Industries BrandVoice Paid Program Policy Real Estate Retail SportsMoney Transportation Small Business All Small Business Entrepreneurs Franchises Small Business Strategy Lifestyle All Lifestyle Amway BrandVoice Paid Program Arts Boats Planes Capital One BrandVoice Paid Program Cars Bikes Dining ForbesLife Forbes Travel Guide Spirits Travel Vices Watches Lists Advisor All Advisor The Best Credit Cards Of 2020 Best Travel Credit Cards Best Business Credit Cards Best Credit Card Sign Up Bonuses Best Rewards Credit Cards Best Student Credit Cards Best Cash Back Credit Cards Best Balance Transfer Credit Cards Best Hotel Credit Cards Best Airline Credit Cards Best First Credit Cards Best Credit Cards For Bad Credit Chase Sapphire Preferred Card Citi Double Cash Card The Platinum Card From American Express Ink Business Preferred Credit Card Bank America Premium Rewards Credit Card Chase Sapphire Reserve Card Featured 5 Innovations Changing The Future Of Food 30 Under 30 2020 AARP BrandVoice Paid Program ABB BrandVoice Paid Program Chase Home Lending BrandVoice Paid Program Ciroc BrandVoice Paid Program Cole Haan BrandVoice Paid Program Courtyard Hotels BrandVoice Paid Program DNA Of Success Forbes Analytics Plus With Teradata Paid Program Forbes Insights With IBM Services Paid Program Herradura BrandVoice Paid Program Investor Forecast: 5 Key Trends Shaping Your Financial Future iShares BrandVoice Paid Program Money 2020 Set Up For Success: Launch Your Small Business From Scratch Set Up For Success: Scale Your Small Business Vertiv Insights Paid Program Voices Of Success Well Earned: The Worlds Wealthiest Celebrate New Milestones Breaking More Forbes Daily Cover Stories Forbes Editors Picks Daily Dozen Briefing Crypto Confidential Newsletters Forbes Shopping Forbes Coupons Forbes 8 Forbes Video Dark Capital Forbes Magazine Investing Digest Free Issue Forbes Choosing Between RuleBased Bots And AI Bots Naveen Joshi Contributor COGNITIVE WORLD Contributor Group Opinions expressed Forbes Contributors own. AI Share facebook Share twitter Share linkedin Shutterstock Until decade ago, option people reach company email customer service team. Now, companies offer chat team provide better roundtheclock customer service. According aFacebookcommissioned study Nielsen, 56 people prefer message customer service, thats bots come play. Bots revolutionizing way companies interact customers. A decade ago, bots considered passing tech fad. However, debate rest major companies like Amazon, Microsoft, Facebook started deploying bots area business. The new debate brewing bot community choice rulebased bots AI bots. Which choose? Which better? These questions minds business leaders intending utilize bots organizations. There factors contribute efficiency bots different applications, understanding factors help businesses informed decisions choosing rulebased versus AI bots. Deciding rulebased bots AI bots Building deploying bots companies todo lists, theyre deployed. Nevertheless, confused rulebased bots AI bots. Lets evaluate pros cons each. Advantages rulebased bots Rulebased bots answer questions based predefined set rules embedded them. The set rules greatly vary complexity. Building rulebased bots simpler building AI bots. Rulebased bots generally faster train. The bots built conditional ifthen basis, makes simpler train. The rulebased bots action based outcome conditional statements. Easy training rulebased bots simultaneously reduces implementation cost. The rulebased bots highly accountable secure. These bots learn provide answers companies want provide. Since rulebased bots selflearn, ensures provide consistent customer service. Rulebased bots professionally hand conversation human agent customer asks absent database. The practice handover conversation human agent ensures unnecessary information conveyed customer. A rulebased approach enables faster implementation bots. Unlike AI bots, rulebased bots need wait years gather data analyzed algorithms understand customer problems provide solutions. Rulebased bots easily implemented embedding known scenarios outputs them. These bots embedded data according new conversational patterns new customer interactions. Although rulebased bots advantages, limitations overlooked. Disadvantages rulebased bots The problem predefined rulebased bots need embedded rules performing small complex task. If database comes way, rulebased bots hand conversation humans. It means rulebased bots operate standalone basis; need human intervention point. Another limitation rulebased bots personalized communication. Chatbots service different people speaking different languages. In addition, languages, way communication varies person person. For instance, book flight Paris person say, I want book flight Paris, say, I need ticket Paris. Both statements mean thing, rulebased bot unable understand that, pass conversation human frustrate customer. Rulebased bots embedded information conversational patterns time passes. Nevertheless, challenge developers embed possible scenario rulebased bots. Although rulebased bots quickly implemented, hard maintain certain length time. Advantages AI bots AI bots selflearning bots programmed Natural Language Processing NLP Machine Learning. It takes long time train build AI bot initially. However, AI bots save lot time money long run. The use AI bots works companies lot data selflearn data. The selflearn ability AI bots saves money, unlike rulebased bots, need updated certain interval time. AI bots programmed understand different languages address personalized communication challenges faced rulebased bots. With use deep learning, AI bots learn read emotions customer. These bots interact customers based mood. For instance, Chinabased startup, Emotibot, helping develop chatbots detect current mood customer respond accordingly. With constant learning, AI bots help provide personalized customer service enhance customer engagement. Since AI bots handle customer queries endtoend human interaction required, deployed roundtheclock customer service. Disadvantages AI bots AI chatbots smart, understand context human interactions. For example, humans change way communication depending communicating. If communicating small children use simpler words shorter sentences. In addition, human employees communicate clients use formal tone. Since bots understand human context, communicate way, irrespective age gender. The selflearning ability AI bots helpful businesses cause trouble sometimes. AI bots possess accurate decisionmaking quality, learn supposed to. For instance, chatbot named Tay started posting offensive tweets. The chatbot Tay got manipulated social engineering tweets started posting undesirable phrases like Hitler right, canned Repeat me. series tweets. These advantages disadvantages help companies decide use rulebased bots AI bots, certain extent. There factors enterprises consider implementing chatbots companies. Whether bots serve B2B B2C, areas bots deployed, bots maintained factors considered. Rulebased bots AI bots benefits disadvantages, useful ways. Enhanced customer service king comes growth business. Understanding different bots improve customer service ultimately helps choose bestsuited bot business. Follow Twitter LinkedIn. Check website. Naveen Joshi Naveen Joshi, columnist, Founder CEO Allerin, develops engineering technology solutions focused optimal customer experiences. Naveen works AI, ... Read More Print Site Feedback Tips Corrections Reprints Permissions Terms Privacy 2020 Forbes Media LLC. . AdChoices
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Tampa General reports $40M savings after opening GE Healthcare AI command center 
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Centers Podcast Becker's Spine and Orthopedics PodcastBecker's Dental + DSO Review PodcastBecker’s Payer Issues PodcastBecker’s Pediatric Leadership PodcastBecker’s Cardiology PodcastPrint IssueCurrent IssuePast IssuesCurrent Issue - Becker's Clinical Leadership & Infection ControlPast Issues - Becker's Clinical Leadership & Infection ControlSubscribeMultimediaRobotics Content HubFeatured ContentVideosPollsLiving Like a Leader SeriesLists20 medtech companies to know | 202050 hospital and health system CNOs to know | 2020Hospital and health system CISOs to know African American leaders in healthcareGreat hospitals in AmericaHospital and health system CIOs to knowHospital and health system CXOs to knowRural hospital CEOs to knowWomen hospital and health system CFOs to knowNominationsAbout UsAbout Becker's Hospital ReviewContact UsRequest Media KitContent SpecificationsReprints Artificial IntelligenceConsumerismCybersecurityData AnalyticsDigital MarketingDigital TransformationEHRs / 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General Hospital has saved $40 million in system-wide reduced inefficiencies since launching its CareComm artificial intelligence command center with GE Healthcare's software in August 2019.  The program has helped TGH operate at maximum capacity, decrease average length of stay and reduced emergency room diversion by 25 percent for its Level 1 trauma center, according to an Oct. 29 news release.  "CareComm is not only the center of gravity for our artificial intelligence platform, it's the center of gravity for the entire hospital system," said John Couris, CEO of TGH. "We feel sometimes that to fix a problem, we've got to build a building or build more capacity. We started to think a little differently saying, how do we drive value to the consumer by doing better with what we have and not just simply building more."  The CareComm command center uses 20 AI applications, called tiles, to streamline patient care operations and provide real-time actionable data to use throughout the health system. The center's tiles include patient manager, capacity snapshot, observation manager, discharge barriers and imagine expediter.  More articles on artificial intelligence: CMS names 7 finalists for its AI challengeMayo, Google launch 1st AI initiative: 5 detailsAI investment dollars: How much money healthcare organizations are pouring into new projects © Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content? 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Tampa General reports $40M savings after opening GE Healthcare AI command center 
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Mayo study: 10 Google search terms predict COVID19 hotspots Cerner CFO depart: 3 things know Epic headlines 13 recent stories HHS scraps 250M COVID19 Santathemed ad campaign: 5 details Cyberattacks shutting hospital IT networks: 8 recent incidents 10 healthcare malware, ransomware phishing incidents month 25 key updates Allscripts, Cerner, Epic, Meditech Top 40 Articles Top 40 Articles 100 great hospitals America 2019 Florida COVID19 fatalities data included man died motorcycle accident Kaiser terminates employee inappropriately accessed 2,756 patients records 8 years Texas hospital exits 20M Cerner EHR contract Testing glitch leads 90 falsepositive COVID19 tests Connecticut: 5 details 6 hospital ransomware attacks 24 hours prompts US advisory: 8 things know Texas Medical Center hit 100 ICU bed occupancy, didnt report data 3 days 25 common passwords Epic vs. Cerner vs. Allscripts vs. Meditech: 12 key comparisons Ascension outsource IT eliminate jobs Epic CEO Judy Faulkners 5 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ForumBeckers 2021 Orthopedic, Spine ASC Virtual EventBeckers 2021 Telehealth Virtual Forum Beckers 2021 Physician Leadership Virtual ForumPast Virtual EventsFeatured Sessions OnDemandWebinarsUpcoming WebinarsOnDemand WebinarsFeatured Sessions OnDemandPast WebinarsWhitepapersCurrent WhitepapersArchivesPodcastsOur PodcastsBeckers Healthcare Podcast EpisodesBeckers Standing Room Only PodcastBeckers Womens Leadership PodcastBeckers Ambulatory Surgery Centers Podcast Beckers Spine Orthopedics PodcastBeckers Dental DSO Review PodcastBeckers Payer Issues PodcastBeckers Pediatric Leadership PodcastBeckers Cardiology PodcastPrint IssueCurrent IssuePast IssuesCurrent Issue Beckers Clinical Leadership Infection ControlPast Issues Beckers Clinical Leadership Infection ControlMultimediaRobotics Content HubFeatured ContentVideosPollsLiving Like Leader SeriesLists20 medtech companies know 202050 hospital health CNOs know 2020Hospital health CISOs know African American leaders healthcareGreat hospitals AmericaHospital health CIOs knowHospital health CXOs knowRural hospital CEOs knowWomen hospital health CFOs knowNominationsAbout Beckers Hospital Review UsRequest Media KitContent SpecificationsReprints Artificial IntelligenceConsumerismCybersecurityData AnalyticsDigital MarketingDigital TransformationEHRs Interoperability PhysiciansLeadershipStrategyExecutive MovesTransaction ValuationHRPatient FlowCapitalTelehealthCardiologyOncologySupply Chain OrthopedicsPatient ExperiencePharmacyCare CoordinationLegal RegulatoryCompensationPayerOpioidsRankings RatingsPostAcuteWorkforce Tampa General reports 40M savings opening GE Healthcare AI command center Jackie Drees Friday, October 30th, 2020 Print Email Tampa Fla. General Hospital saved 40 million systemwide reduced inefficiencies launching CareComm artificial intelligence command center GE Healthcares software August 2019. The program helped TGH operate maximum capacity, decrease average length stay reduced emergency room diversion 25 percent Level 1 trauma center, according Oct. 29 news release. CareComm center gravity artificial intelligence platform, center gravity entire hospital system, said John Couris, CEO TGH. We feel fix problem, weve got build building build capacity. We started think little differently saying, drive value consumer better simply building more. The CareComm command center uses 20 AI applications, called tiles, streamline patient care operations provide realtime actionable data use health system. The centers tiles include patient manager, capacity snapshot, observation manager, discharge barriers imagine expediter. 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Featured Content Using Tech Improve Patient Engagement New Normal Influenza vaccination important ever: To help, Immunization Action Coalition launches new mass vaccination resources website How gauge hospitals financial health How ADMINister Chronic Wound Care Help Improve Patient Outcomes 6 things health systems need medication access technology A commitment collaboration education surgical robotics Emory Healthcare Using telehealth manage chronic diseases Crisis collaboration digital age pandemic response means future healthcare First COVID, Medicare payment cuts hurt American health care Featured Webinars One ASCs journey better cost control robust line The pandemic ASC: How surgery center leaders manage challenges COVID19 How create strategic supply chain model The road recovery: 4 RCM leaders best strategies survive thrive amid pandemic Making Connection Featured Whitepapers Half EDs arent fully equipped treat emergency pediatric patients 6 steps enhance emergency care children 5 elements successful ED transformation Firewalls wont fully protect hospital networks: 7 common vulnerabilities The cybersecurity trends health systems need know 8 tips minimize exposure The internet things blockchain Current future realworld opportunities healthcare How Banner Health transforms data savings Key learnings Banners supply chain success 2020 Physician Consumer Telehealth Survey Digital transformation shouldnt change deliver care, essentials optimized virtual care Plan, pivot persevere: Boosting pandemic preparedness response healthcare The actively connected physician Beckers Websites Hospital ASC Spine Clinical Health IT CFO Dental DSO Payer Virtual Learning Webinars Whitepapers Podcasts Conferences Health IT Revenue Cycle Conference ASC Annual Meeting: The Business Operations ASCs CEO CFO Roundtable Beckers Hospital Review Annual Meeting Health IT Clinical Leadership Pharmacy Conference Spine, Orthopedic Pain ManagementDriven ASC Future Spine Conference Us 1.800.417.2035 becker 2020 Beckers Healthcare. . 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https://www.republicworld.com/india-news/education/cbse-ibm-artificial-intelligence-cbse-result.html
2020-07-16T00:00:00
en
CBSE forms partnership with IBM to create new artificial intelligence (AI) curriculum - Republic World
CBSE forms partnership with IBM to create new artificial intelligence (AI) curriculum - Republic World View in Hindi: LIVE TV The Debate India News Coronavirus Entertainment News Sports News World News Opinions Initiatives Technology News View in Hindi: LIVE TV The Debate India News Coronavirus Entertainment News Sports News World News Opinions Initiatives Technology News SEARCH Quick links: The Debate Nation Wants To Know India News Sports News World News FOLLOW US India News Education General News Law & Order Lottery Economy Politics City News Accidents & Disasters Elections IRCTC Sports News Cricket News Football News Tennis News Badminton News Hockey News Other Sports Kabaddi News WWE News Basketball News World News UK News US News Rest Of The World News Europe Africa Global Event News Lottery News Middle East Australia Pakistan News Technology News Gadgets Mobile Apps Science Social Media News Gaming E-commerce How To Other Tech News Entertainment News Hollywood News Television News Movie Reviews Music Others Bollywood News Regional Indian Cinema Web Series Rest Of The World What’s Viral Business News India Business International Business Shows Nation Wants To Know Anupam Kher's People R. Access Patriot Sunday Debate With Arnab R. Glitz R. Wrap R. EWIND The Hidden Story Election News Uttar Pradesh Lok Sabha Elections Odisha Lok Sabha Elections Indian General Elections PM Narendra Modi Interview West Bengal Lok Sabha Elections Delhi Assembly Elections Maharashtra Lok Sabha Elections Assembly Election News Pradeep's Poll Pulse Punjab Lok Sabha Elections Clear Search NO RESULTS FOUND EXPLORE HABITS Breaking News Home India News Education CBSE forms partnership with IBM to create new artificial intelligence (AI) curriculum Last Updated: 16th July, 2020 20:46 IST CBSE Forms Partnership With IBM To Create New Artificial Intelligence (AI) Curriculum The Central Board of Secondary Education (CBSE) has created a new Artificial intelligence (AI) curriculum for class 11 and 12 with the help of tech giant IBM. Written By Siddharth Iyer The Central Board of Secondary Education (CBSE) recently announced that they were forming a partnership with tech giant IBM. This partnership will help the CBSE board implement a new artificial intelligence (AI) course for classes 11 and 12. According to the Central Board of Secondary Education (CBSE), this new artificial intelligence (AI) curriculum will be implemented in 13 states of India in over 200 high schools.  CBSE partners up with IBM to bring in new artificial intelligence (AI) course for classes 11 and 12 Also Read | 'Bizarre': Sonam Kapoor On CBSE's Decision To Delete Important Chapters From Curriculum This upcoming artificial intelligence (AI) curriculum is a part of CBSE's Social Empowerment through Work Education and Action (SEWA) programme and is being developed in collaboration with tech giant IBM. According to a statement by the Central Board of Secondary Education (CBSE), this new course will teach students basic knowledge about artificial intelligence. The curriculum will also teach the benefits and skills required for making AI.  Also Read | Pune Student Scores 99.6% In CBSE Class X Exam In a statement, General Manager of IBM India/South Asia, Sandip Patel stated that the objective of their new and exciting collaboration with CBSE was to help address some of the challenges faced by students interested in AI technology. Sandip Patel added that this course was designed to be one of the most accessible and comprehensive gateways for students to "begin their AI journey".  Moreover, the curriculum also helps teachers by providing them with problem-based learning outcomes and assessment methods. This new Central Board of Secondary Education (CBSE) project aims to teach students the foundational skills of AI technology, making them into consumers and creators of artificial intelligence. Australia's Macquarie University and Indian implementation partners, Learning Links Foundation and 1M1B, also helped in the co-development of the new CBSE course.  Also Read | CBSE And ISC Toppers Hopeful Despite COVID-19; Eye Bright Futures In Space & Economics CBSE Chairperson Manoj Ahuja stated that with the help of IBM, they were proud to lead the way for the nation by developing an innovative training-based learning approach for students and teachers. This course was first launched by IMB and CBSE back in September of 2019. Meanwhile, the CBSE results for class 10 were released online on July 15, 2020. However, the result declaration had its own problems and glitches. According to several students, their mark sheet erroneously claims that they were born in the year 2020. This date error seems to be a technical glitch and the CBSE board may recall all mark sheets to correct the error.  Also Read | Gujarat University To Reserve 10% Seats For CBSE, ICSE Students; Read [Image from Shutterstock] First Published: 16th July, 2020 20:46 IST COMMENT SUBSCRIBE TO US WATCH US LIVE LIVE TV FOLLOW US LATEST NEWS View all 5 hours ago Exams during Covid: 177 universities yet to decide on conducting examinations, says UGC 2 hours ago UP to conduct only final year, last semester exams 6 hours ago WB Governor and CM Mamata duelling over VCs' meeting, Congress asks 'what's the fuss?' 1 hour ago CA Exams 2020: CA Exam November date and timetable announced by ICAI 4 hours ago NIOS Result 2020: SC asks NIOS 12th & 10th result to be declared by August 7 WORLD The Debate Business News Entertainment News Sports News World News India News Technology News Shows Nation Wants To know Sunday Debate With Arnab R. Glitz Anupam Kher's People R. Access Patriot R. Wrap The Hidden Story R. EWIND REPUBLIC About Us Advertise Careers Intern With Us Contact Us TOP STORIES Rajasthan Govt Crisis LIVE Updates: Rajasthan HC to hear Sachin Pilot's plea on Friday Rajasthan govt crisis: BJP ally accuses Vasundhara Raje of trying to save Gehlot govt Coronavirus Live Updates: India's tally reaches 968,876; recovery rate at 63.24 percent Kerala gold smuggling: Ex-Principal Secretary to CM, Sivasankar suspended pending inquiry FOLLOW US twitter facebook instagram youtube DOWNLOAD THE APP © 2020 Republic. All rights reserved. Terms and Conditions Privacy Policy Complaint
CBSE forms partnership with IBM to create new artificial intelligence (AI) curriculum
CBSE forms partnership IBM create new artificial intelligence AI curriculum Republic World View Hindi: LIVE TV The Debate India News Coronavirus Entertainment News Sports News World News Opinions Initiatives Technology News View Hindi: LIVE TV The Debate India News Coronavirus Entertainment News Sports News World News Opinions Initiatives Technology News SEARCH Quick links: The Debate Nation Wants To Know India News Sports News World News FOLLOW US India News Education General News Law Order Lottery Economy Politics City News Accidents Disasters Elections IRCTC Sports News Cricket News Football News Tennis News Badminton News Hockey News Other Sports Kabaddi News WWE News Basketball News World News UK News US News Rest Of The World News Europe Africa Global Event News Lottery News Middle East Australia Pakistan News Technology News Gadgets Mobile Apps Science Social Media News Gaming Ecommerce How To Other Tech News Entertainment News Hollywood News Television News Movie Reviews Music Others Bollywood News Regional Indian Cinema Web Series Rest Of The World Whats Viral Business News India Business International Business Shows Nation Wants To Know Anupam Khers People R. Access Patriot Sunday Debate With Arnab R. Glitz R. Wrap R. EWIND The Hidden Story Election News Uttar Pradesh Lok Sabha Elections Odisha Lok Sabha Elections Indian General Elections PM Narendra Modi Interview West Bengal Lok Sabha Elections Delhi Assembly Elections Maharashtra Lok Sabha Elections Assembly Election News Pradeeps Poll Pulse Punjab Lok Sabha Elections Clear NO RESULTS FOUND EXPLORE HABITS Breaking News Home India News Education CBSE forms partnership IBM create new artificial intelligence AI curriculum Last Updated: 16th July, 2020 20:46 IST CBSE Forms Partnership With IBM To Create New Artificial Intelligence AI Curriculum The Central Board Secondary Education CBSE created new Artificial intelligence AI curriculum class 11 12 help tech giant IBM. Written By Siddharth Iyer TheCentral Board Secondary Education CBSE recently announced forming partnership withtech giant IBM. This partnership help CBSE board implement newartificial intelligence AI course classes 11 12. According theCentral Board Secondary Education CBSE, newartificial intelligence AIcurriculum implemented 13 states India over200 high schools. CBSE partners IBM bring newartificial intelligence AI course forclasses 11 12 Also Read Bizarre: Sonam Kapoor On CBSEs Decision To Delete Important Chapters From Curriculum This upcomingartificial intelligence AIcurriculum ofCBSEs Social Empowerment Work Education ActionSEWA programme developed collaboration tech giant IBM. According statement theCentral Board Secondary Education CBSE, new course teach students basic knowledge aboutartificial intelligence. Thecurriculum teach benefits skills required making AI. Also Read Pune Student Scores 99.6 In CBSE Class X Exam In statement,General Manager IBM IndiaSouth Asia,Sandip Patel stated objective new exciting collaboration CBSE tohelp address challenges faced students interested AI technology. Sandip Patel added course designed themost accessible comprehensive gateways students begin AI journey. Moreover, thecurriculum helps teachers providing withproblembased learning outcomes assessment methods. This newCentral Board Secondary Education CBSE project aims teach students foundational skills AI technology, making intoconsumers creators artificial intelligence.Australias Macquarie University andIndian implementation partners, Learning Links Foundation and1M1B, helped codevelopment new CBSE course. Also Read CBSE And ISC Toppers Hopeful Despite COVID19; Eye Bright Futures In Space Economics CBSEChairpersonManoj Ahuja stated help IBM, wereproud lead way nation developing aninnovative trainingbased learning approach students teachers. This course launched IMB CBSE inSeptember 2019. Meanwhile, CBSE results class10 released online onJuly 15, 2020. However, result declaration problems glitches. According students, mark sheet erroneously claims born year 2020. This date error technical glitch CBSE board recall mark sheets correct error. Also Read Gujarat University To Reserve 10 Seats For CBSE, ICSE Students; Read [Image Shutterstock] First Published: 16th July, 2020 20:46 IST COMMENT SUBSCRIBE TO US WATCH US LIVE LIVE TV FOLLOW US LATEST NEWS View 5 hours ago Exams Covid: 177 universities decide conducting examinations, says UGC 2 hours ago UP conduct final year, semester exams 6 hours ago WB Governor CM Mamata duelling VCs meeting, Congress asks whats fuss? 1 hour ago CA Exams 2020: CA Exam November date timetable announced ICAI 4 hours ago NIOS Result 2020: SC asks NIOS 12th 10th result declared August 7 WORLD The Debate Business News Entertainment News Sports News World News India News Technology News Shows Nation Wants To know Sunday Debate With Arnab R. Glitz Anupam Khers People R. Access Patriot R. Wrap The Hidden Story R. EWIND REPUBLIC Advertise Careers Intern With Us Us TOP STORIES Rajasthan Govt Crisis LIVE Updates: Rajasthan HC hear Sachin Pilots plea Friday Rajasthan govt crisis: BJP ally accuses Vasundhara Raje trying save Gehlot govt Coronavirus Live Updates: Indias tally reaches 968,876;recovery rate 63.24 percent Kerala gold smuggling: ExPrincipal Secretary CM, Sivasankar suspended pending inquiry FOLLOW US twitter facebook instagram youtube DOWNLOAD THE APP 2020 Republic. . Complaint
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https://augustafreepress.com/machine-learning-reduces-hazards-in-nuclear-power-plants/
2020-08-24T00:00:00
en
Machine learning reduces hazards in nuclear power plants : Augusta Free Press
Machine learning reduces hazards in nuclear power plants : Augusta Free Press Local NewsState/National NewsSportsOp-EdBusinessPodcastsVideosHire AFPOur TeamChris GrahamCrystal GrahamBooksAdvertiseSubscribeArea Info   Machine learning reduces hazards in nuclear power plantsPublished Monday, Aug. 24, 2020, 12:05 amFront Page » State/National News » Machine learning reduces hazards in nuclear power plantsJoin AFP's 100,000+ followers on FacebookPurchase a subscription to AFP | Subscribe to AFP podcasts on iTunesNews, press releases, letters to the editor: [email protected] inquiries: [email protected] Twitter Facebook WhatsApp LinkedIn Reddit Tumblr EmailBy Alex Parrish(© ipopba – stock.adobe.com)Nuclear researcher Juliana Pacheco Duarte is part of a team using nearly $800,000 in funding from the U.S. Department of Energy to build new prediction models for hazards that could impact nuclear power plants.According to Duarte, nuclear energy has the potential to rapidly expand the world’s energy market, but advances in technology must come with new methods for risk management. The phrase “risk management in a nuclear power plant” may immediately call to mind the avoidance of a nuclear explosion or a radiation leak such as Chernobyl, but this risk management begins with a plantwide assessment to ensure that existing local hazards do not result in an unsafe shutdown of a plant. Duarte’s group will create a general risk reduction methodology to more accurately predict local hazards that, if not managed, could lead to significant events.Though they don’t usually spell environmental disaster, local hazards can still equal big costs. Aside from the radioactive elements, there are many combustible sources within a power plant. A control room, pump room, or turbine room are composed of complex networks of mechanics and electronics that demand their own safety standards. The loss of any of those peripherals could spell a major repair cost in addition to the loss of energy production.Duarte’s team includes Virginia Tech Professor Brian Lattimer, University of Wisconsin-Madison faculty Jun Wang and Michael Corradini, and Convergent Science co-owner and vice president Kelly Senecal. This grouping will combine expertise in the mechanics of fire, engineering physics, and custom machine learning to build predictive models for probabilistic risk assessments.The Department of Energy made the move to improve hazard prediction models following a period of progress in understanding the properties of fire. The proposal indicates that, while new data and measurement methods have been steadily advancing the understanding of fire, many of the applied risk management models in place for nuclear power plants are based on data collected before these improvements. Duarte’s team will identify what new data are needed and provide new tools to set the stage for decreased uncertainty.To make those connections, the group will use simulation Monte Carlo analysis, statistical analysis, and machine learning to reduce the uncertainty in describing a hazard event. This will be achieved by running a series of simulations that provide variations on hazard event conditions, conducting statistics on existing data and simulation results to identify key parameters that most significantly affect the hazard level, and using deep learning models and statistics to identify how to lower the hazard uncertainty. This will give a clearer picture of any gaps in the current data and inform a more complete approach for risk reduction.This application of machine learning with simulation data will also provide additional possibilities for field engineers to more accurately assess the hazards for their specific plant. Field conditions are typically not the same as data set conditions.  Machine learning models developed in this research will be able to rapidly translate what the appropriate hazard event conditions are for the given field conditions.While the scope of the initial call from the Department of Energy was centered on fire modeling, the group’s techniques could also be used for other kinds of prediction. By using adapted versions of this methodology, the impact of additional events, such as hurricanes, earthquakes and tsunamis, could also be anticipated.Related          UVA Basketball Fans!Team of Destiny: Inside Virginia Basketball’s Run to the 2019 National Championship, by Jerry Ratcliffe and Chris Graham, is available for $25. The book, with additional reporting by Zach Pereles, Scott Ratcliffe, and Scott German, will take you from the aftermath of the stunning first-round loss to UMBC in 2018 through to the thrilling overtime win over Texas Tech to win the 2019 national title, the first in school history. Dick Vitale on Team of Destiny: “This is a hoops story you will LOVE! Jerry and Chris capture the sensational and dramatic championship journey by Tony Bennett and his tenacious Cavalier team. UVA was Awesome Baby and so is this book!” Ralph Sampson on Team of Destiny: “Jerry and Chris have lived and seen it all, even before my time. I highly recommend this book to every basketball fan across the globe. This story translates to all who know defeat and how to overcome it!” Feedback from buyers: “Got the Book in the Mail Saturday, and could not put it down! Great read and great photography as well! Love all of the books I’ve received, but hands down, this is my favorite!” – Russell Buy here. 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Machine learning reduces hazards in nuclear power plants : Augusta Free Press
Machine learning reduces hazards nuclear power plants : Augusta Free Press Local NewsStateNational NewsSportsOpEdBusinessPodcastsVideosHire AFPOur TeamChris GrahamCrystal GrahamBooksAdvertiseArea Info Machine learning reduces hazards nuclear power plantsPublished Monday, Aug. 24, 2020, 12:05 amFront Page StateNational News Machine learning reduces hazards nuclear power plantsJoin AFPs 100,000 followers FacebookPurchase subscription AFP AFP podcasts iTunesNews, press releases, letters editor: augustafreepress2 inquiries: freepress Twitter Facebook WhatsApp LinkedIn Reddit Tumblr EmailBy Alex Parrish ipopba stock.Nuclear researcher Juliana Pacheco Duarte team nearly 800,000 funding U.S. Department Energy build new prediction models hazards impact nuclear power plants.According Duarte, nuclear energy potential torapidly expandthe worlds energy market, advances technology come new methods risk management. The phrase risk management nuclear power plant immediately mind avoidance nuclear explosion radiation leak Chernobyl, risk management begins plantwide assessment ensure existing local hazards result unsafe shutdown plant. Duartes group create general risk reduction methodology accurately predict local hazards that, managed, lead significant events.Though dont usually spell environmental disaster, local hazards equal big costs. Aside radioactive elements, combustible sources power plant. A control room, pump room, turbine room composed complex networks mechanics electronics demand safety standards. The loss peripherals spell major repair cost addition loss energy production.Duartes team includes Virginia Tech ProfessorBrian Lattimer, University WisconsinMadison facultyJun WangandMichael Corradini, Convergent Science coowner vice presidentKelly Senecal. This grouping combine expertise mechanics fire, engineering physics, custom machine learning build predictive models probabilistic risk assessments.The Department Energy improve hazard prediction models following period progress understanding properties fire. Theproposalindicates that, new data measurement methods steadily advancing understanding fire, applied risk management models place nuclear power plants based data collected improvements. Duartes team identify new data needed provide new tools set stage decreased uncertainty.To connections, group use simulation Monte Carlo analysis, statistical analysis, machine learning reduce uncertainty describing hazard event. This achieved running series simulations provide variations hazard event conditions, conducting statistics existing data simulation results identify key parameters significantly affect hazard level, deep learning models statistics identify lower hazard uncertainty. This clearer picture gaps current data inform complete approach risk reduction.This application machine learning simulation data provide additional possibilities field engineers accurately assess hazards specific plant. Field conditions typically data set conditions. Machine learning models developed research able rapidly translate appropriate hazard event conditions given field conditions.While scope initial Department Energy centered modeling, groups techniques kinds prediction. By adapted versions methodology, impact additional events, hurricanes, earthquakes tsunamis, anticipated.Related UVA Basketball FansTeam Destiny: Inside Virginia Basketballs Run 2019 National Championship, Jerry Ratcliffe Chris Graham, available 25. The book, additional reporting Zach Pereles, Scott Ratcliffe, Scott German, aftermath stunning firstround loss UMBC 2018 thrilling overtime win Texas Tech win 2019 national title, school history. Dick Vitale Team Destiny: This hoops story LOVE Jerry Chris capture sensational dramatic championship journey Tony Bennett tenacious Cavalier team. UVA Awesome Baby book Ralph Sampson Team Destiny: Jerry Chris lived seen all, time. I highly recommend book basketball fan globe. This story translates know defeat overcome Feedback buyers: Got Book Mail Saturday, Great read great photography Love books Ive received, hands down, favorite Russell Buy here. 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https://www.marketscreener.com/quote/stock/DATAMETREX-AI-LIMITED-49479241/news/Datametrex-AI-Ramps-up-COVID-19-Testing-for-Film-Television-Sectors-32032888/?utm_medium=RSS&utm_content=20201217
2020-12-17T00:00:00
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Datametrex AI Ramps up COVID-19 Testing for Film & Television Sectors | MarketScreener
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The Company is currently providing services to 6 production companies in Toronto and 11 production companies in Vancouver, administering approximately 6,000 tests per week. The Company expects this will increase significantly with the additional projects which is seeing in its project pipeline.Datametrex has ramped up testing lab facilities in Vancouver. The lab now has a capacity of processing up to 10,000 COVID-19 tests per week with the ability to expand this capacity even further (if required). Vancouver is the third-largest production centre in North America, worth CDN $3.2 billion during 2018/19, according to Creative BC. British Columbia is home to several world-class Film and TV studios, including Bridge Studios, Mammoth Studios, Vancouver Film Studios, North Shore Studios, Ironwood Studios, Canadian Motion Picture Park, and The Crossing Studios. (Source: CreativeBC Film Commission)Entire film and TV production in Canada represent $8.92 billion in production volume, and full-time equivalent jobs represent 179,000 workers. In March 2020, the industry stopped worldwide and in Vancouver which represents 37% of Canadian productions, and the surrounding areas had 46 productions filming which does not include the TV commercial market. Each of the shows would have a minimum of a 100-person film crew. (Source: CreativeBC Film Commission)The next largest film and television market is Ontario which represents 34% of Canadian productions and in 2019, Toronto's film and television industry directly employed more than 28,000 people representing $3.17 billion in production volume. (Source: CreativeBC Film Commission)"With Vancouver and Toronto feature-length movies and episodic series productions filming quickly ramping up, we feel that this will only expand the COVID-19 screening business for the film and TV industries," said Marshall Gunter CEO of the Company.About DatametrexDatametrex AI Limited is a technology-focused with exposure to Artificial Intelligence and Machine Learning through its wholly-owned subsidiary, Nexalogy (www.nexalogy.com). Datametrex's mission is to provide tools that support companies in fulfilling their operational goals, including Health and Safety, with predictive and preventive technologies. By working with companies to set a new standard of protocols through Artificial Intelligence and health diagnostics, Company provides progressive solutions to support the supply chain. Additional information on Datametrex is available at www.datametrex.com. For further information, please contact:Marshall Gunter - CEOPhone: (514) 295-2300Email: [email protected] the TSX Venture Exchange nor it's Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.Forward-Looking StatementsCertain statements including in this news release contain "forward-looking information" or constitute "forward-looking statements" within the meaning of applicable securities laws. Such forward-looking statements or information are provided for the purpose of providing information about management's current expectations and plans relating to the future. Readers are cautioned that reliance on such information may not be appropriate for other purposes In some cases, forward-looking information can be identified by words or phrases such as "may", "will", "expect", "likely", "should", "would", "plan", "anticipate", "intend", "potential", "proposed", "estimate", "believe" or the negative of these terms, or other similar words, expressions and grammatical variations thereof, or statements that certain events or conditions "may" or "will" happen, or by discussions of strategy, including the dollar amount of revenue anticipated under the Agreement.Forward-looking statements or information are based on current expectations, estimates and projections that involve several risks and uncertainties, which could cause actual results to differ materially from those anticipated by the Company and described in the forward-looking statements or information. These risks and uncertainties may cause actual results to differ materially from the forward-looking statements or information. Readers are cautioned that the foregoing list is not exhaustive of all possible risks and uncertainties. Readers are also cautioned to consider these and other factors, uncertainties, and potential events carefully and not to put undue reliance on forward-looking information. The forward-looking information contained herein is made as of the date of this press release and is based on the beliefs, estimates, expectations, and opinions of management on the time such forward-looking information is made. Company undertakes no obligation to update or revise any forward-looking information, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law. To view the source version of this press release, please visit https://www.newsfilecorp.com/release/70511 © Newsfilecorp 2020 All news about DATAMETREX AI LIMITED 03:05aDatametrex AI Ramps up COVID-19 Testing for Film & Television SectorsNE 12/16Datametrex AI Announces Release of Nexalogy "SMART" TechnologyNE 12/15Datametrex Awarded Two Contracts with Insurance Provider and Airport Authorit..NE 12/11Datametrex Provides Clarity on a Statement Published on Twitter by Air CanadaNE 12/09Datametrex Completes IDEaS Milestone 4 and Launches Nexalogy "SMART"NE 12/02Datametrex Provides Update on the 1copy(TM) COVID-19 Test Kit and Announces I..NE 11/25Datametrex Reports Smaller Q3 Loss of $451,000 as Revenue Improves on COVID T..MT 11/25Datametrex Earned $362K in Q3NE 10/27DATAMETREX AI : IIROC Trading Resumption - DMAQ 10/27DATAMETREX AI : IIROC Trading Halt - DMAQ More news Financials CADUSD Sales 2019 3,40 M 2,67 M 2,67 M Net income 2019 -2,78 M -2,19 M -2,19 M Net Debt 2019 0,33 M 0,26 M 0,26 M P/E ratio 2019 -1,61x Yield 2019 - Capitalization 33,4 M 26,2 M 26,3 M EV / Sales 2018 3,52x EV / Sales 2019 1,43x Nbr of Employees 21 Free-Float 92,4% More Financials Chart DATAMETREX AI LIMITED Duration : Auto. 2 months 3 months 6 months 9 months 1 year 2 years 5 years 10 years Max. Period : Day Week Full-screen chart Technical analysis trends DATAMETREX AI LIMITED Short TermMid-TermLong TermTrendsBullishNeutralBullish Technical analysis Income Statement Evolution Please enable JavaScript in your browser's settings to use dynamic charts. More Financials Managers and Directors NameTitleMarshall Gunter Chief Executive Officer Andrew Ryu Chairman Don Shim Chief Financial Officer Paul Haber Director John McMullen Director More about the company Sector and Competitors 1st jan.Capitalization (M$) DATAMETREX AI LIMITED525.00%26 ORACLE CORPORATION16.76%182 118 SAP SE-14.56%145 748 SERVICENOW INC.86.80%102 865 INTUIT INC.40.98%99 495 DOCUSIGN, INC.219.90%43 598 More Results Categories Indexes Equities Currencies Commodities Trackers / ETF News Analysis Free services Watchlists Virtual Portfolios Newsletters and notifications New member Mobile App iPhone - iPad SOLUTIONS European Portfolio USA Portfolio Asian Portfolio Stock screener Stock Picks Investment themes Tools Subscribe as customer About Surperformance SAS Contact Legal information Stock Market Quotes Interactive brokers Best of des tweets Stock Market News Börse: Aktien, Kurse und Nachrichten Copyright © 2020 Surperformance. All rights reserved. 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Datametrex AI Ramps up COVID-19 Testing for Film & Television Sectors
Datametrex AI Ramps COVID19 Testing Film Television Sectors MarketScreener Log Email Password Remember Forgot password ? Become member free Sign Sign New memberSign FREE New customerDiscover services Canada Deutschland France Schweiz DE Suisse FR United Kingdom United States Settings Dynamic quotes OFFON Markets Equities North AmericaEuropeAsiaOceaniaMiddle East More Equities Indexes DOW JONESSP 500NASDAQ 100TSX COMPNIKKEI 225 More Indexes Currency Forex EUR USDGBP USDUSD JPYUSD CADAUD USD More Currencies Commodities GOLDCrude Oil WTICrude Oil BRENTSILVERPLATINUM More Commodities Trackers ETF Rankings NewsAdvanced Cryptocurrencies BITCOINETHEREUM News Latest News CompaniesMarketsEconomyCurrency ForexCommoditiesInterest RatesBusiness LeadersCryptocurrenciesCybersecurityEconomic calendar Listed company Analyst reco.RumorsIPOsCapital Markets TransactionsNew ContractsProfit warningsAppointmentsPress ReleasesEventsCorporate actionsFinancial calendar Sector News EnergyBasic MaterialsIndustrialsConsumer CyclicalConsumer NonCyclicalFinancialsHealthcareTechnologyTelecommunications ServicesUtilities Analysis All AnalysisMust ReadDaily briefingWeekly market updateStock Trading Strategies Stock Picks All stock picks Portfolios My Portfolio Virtual portfolios MarketScreener Portfolios USA PortfolioEuropean PortfolioAsian Portfolio Watchlists My Watchlists WatchlistsMy previous sessionMy visitedMost popular Investment style Yield stocksGrowth stocksUndervalued Stocks Investment themes Place betsEuropes family businessesLets cycleAgeing PopulationRoboticsCybersecurityFinancial DataGold SilverStrategic Metals Top Flop Top News Most Read NewsHot News Top Fundamentals Top CapitalizationTop YieldTop PERTop ConsensusTop Fundamentals Top Technicals Top RSIUnusual volumesTop GapsTop STIMBreakoutsTrends Top Movers Top USATop CanadaTop U.K.Top GermanyTop EuropeTop Asia Screeners Investment selections Place betsEuropes family businessesLets cycleAgeing PopulationRoboticsCybersecurity Technical Rankings Oversold stocksOverbought stocksClose resistanceClose supportAccumulation PhasesMost volatile stocks Fundamental Rankings Top Investor RatingTop Trading RatingTop ConsensusGrowth stocksYield stocksLow valuations Stock Screener HomeMy Screeners All stocksWatchlistsVirtual Portfolios Tools MarketScreener tools Stock ScreeneriPhone App Expert tools Stock Screener PROPortfolio CreatorEvent Screener Dynamic chartFinancial calendarEconomic calendarSector researchCurrency converterProRealTime Trading Our Services MarketScreener Portfolios European PortfolioUSA PortfolioAsian Portfolio Our Stock PicksThematic Investment ListsStock Screener MarketScreener Home > Equities > TSX VENTURE EXCHANGE > Datametrex AI Limited DM CA23809L1085 DATAMETREX AI LIMITED DM Add list Report Delayed TSX VENTURE EXCHANGE1216 03:59:21 pm 0.125 CAD 4.17 03:05aDatametrex AI Ramps COVID19 Testing Film Television SectorsNE 1216Datametrex AI Announces Release Nexalogy SMART TechnologyNE 1215Datametrex Awarded Two Contracts Insurance Provider Airport AuthorityNE SummaryQuotesChartsNewsRatingsCalendarCompanyFinancialsSummaryMost relevantAll NewsPress ReleasesOfficial PublicationsSector news Datametrex AI Ramps COVID19 Testing Film Television Sectors12172020 03:05am EST Send mail : Last Name : First : From : To : You enter multiple email addresses separated commas Message : Required fields Toronto, OntarioNewsfile Corp. December 17, 2020 Datametrex AI Limited TSXV: DM FSE: D4G OTC: DTMXF Company Datametrex wishes provide update film television industry testing lab facilities projects undertaking Canada.As coming January 2021, Company received order additional 3 film TV productions Toronto additional 6 l film TV productions Vancouver. The Company currently providing services 6 production companies Toronto 11 production companies Vancouver, administering approximately 6,000 tests week. The Company expects increase significantly additional projects seeing project pipeline.Datametrex ramped testing lab facilities Vancouver. The lab capacity processing 10,000 COVID19 tests week ability expand capacity required. Vancouver thirdlargest production centre North America, worth CDN 3.2 billion 201819, according Creative BC. British Columbia home worldclass Film TV studios, including Bridge Studios, Mammoth Studios, Vancouver Film Studios, North Shore Studios, Ironwood Studios, Canadian Motion Picture Park, The Crossing Studios. Source: CreativeBC Film CommissionEntire film TV production Canada represent 8.92 billion production volume, fulltime equivalent jobs represent 179,000 workers. In March 2020, industry stopped worldwide Vancouver represents 37 Canadian productions, surrounding areas 46 productions filming include TV commercial market. Each shows minimum 100person film crew. Source: CreativeBC Film CommissionThe largest film television market Ontario represents 34 Canadian productions 2019, Torontos film television industry directly employed 28,000 people representing 3.17 billion production volume. Source: CreativeBC Film CommissionWith Vancouver Toronto featurelength movies episodic series productions filming quickly ramping up, feel expand COVID19 screening business film TV industries, said Marshall Gunter CEO Company.About DatametrexDatametrex AI Limited technologyfocused exposure Artificial Intelligence Machine Learning whollyowned subsidiary, Nexalogy Datametrexs mission provide tools support companies fulfilling operational goals, including Health Safety, predictive preventive technologies. By working companies set new standard protocols Artificial Intelligence health diagnostics, Company provides progressive solutions support supply chain. Additional information Datametrex available For information, contact:Marshall Gunter CEOPhone: 514 2952300Email: mgunter TSX Venture Exchange Regulation Services Provider term defined policies TSX Venture Exchange accepts responsibility adequacy accuracy release.ForwardLooking StatementsCertain statements including news release contain forwardlooking information constitute forwardlooking statements meaning applicable securities laws. Such forwardlooking statements information provided purpose providing information managements current expectations plans relating future. Readers cautioned reliance information appropriate purposes In cases, forwardlooking information identified words phrases may, will, expect, likely, should, would, plan, anticipate, intend, potential, proposed, estimate, believe negative terms, similar words, expressions grammatical variations thereof, statements certain events conditions happen, discussions strategy, including dollar revenue anticipated Agreement.Forwardlooking statements information based current expectations, estimates projections involve risks uncertainties, cause actual results differ materially anticipated Company described forwardlooking statements information. These risks uncertainties cause actual results differ materially forwardlooking statements information. Readers cautioned foregoing list exhaustive possible risks uncertainties. Readers cautioned consider factors, uncertainties, potential events carefully undue reliance forwardlooking information. The forwardlooking information contained date press release based beliefs, estimates, expectations, opinions management time forwardlooking information made. Company undertakes obligation update revise forwardlooking information, result new information, estimates opinions, future events results explain material difference subsequent actual events forwardlooking information, required applicable law. To view source version press release, visit Newsfilecorp 2020 All news aboutDATAMETREX AI LIMITED 03:05aDatametrex AI Ramps COVID19 Testing Film Television SectorsNE 1216Datametrex AI Announces Release Nexalogy SMART TechnologyNE 1215Datametrex Awarded Two Contracts Insurance Provider Airport Authorit..NE 1211Datametrex Provides Clarity Statement Published Twitter Air CanadaNE 1209Datametrex Completes IDEaS Milestone 4 Launches Nexalogy SMARTNE 1202Datametrex Provides Update 1copyTM COVID19 Test Kit Announces I..NE 1125Datametrex Reports Smaller Q3 Loss 451,000 Revenue Improves COVID T..MT 1125Datametrex Earned 362K Q3NE 1027DATAMETREX AI : IIROC Trading Resumption DMAQ 1027DATAMETREX AI : IIROC Trading Halt DMAQ More news Financials CADUSD Sales 2019 3,40M 2,67M 2,67M Net income 2019 2,78M 2,19M 2,19M Net Debt 2019 0,33M 0,26M 0,26M PE ratio 2019 1,61x Yield 2019 Capitalization 33,4M 26,2M 26,3M EV Sales 2018 3,52x EV Sales 2019 1,43x Nbr Employees 21 FreeFloat 92,4 More Financials ChartDATAMETREX AI LIMITED Duration : Auto. 2 months 3 months 6 months 9 months 1 year 2 years 5 years 10 years Max. Period : Day Week Fullscreen chart Technical analysis trends DATAMETREX AI LIMITED Short TermMidTermLong TermTrendsBullishNeutralBullish Technical analysis ome Statement Evolution Please enable JavaScript browsers settings use dynamic charts. More Financials Managers Directors NameTitleMarshall Gunter Chief Executive Officer Andrew Ryu Chairman Don Shim Chief Financial Officer Paul Haber Director John McMullen Director More company Sector Competitors 1st jan.Capitalization M DATAMETREX AI LIMITED525.0026 ORACLE CORPORATION16.76182 118 SAP SE14.56145 748 SERVICENOW INC.86.80102 865 INTUIT INC.40.9899 495 DOCUSIGN, INC.219.9043 598 More Results Categories Indexes Equities Currencies Commodities Trackers ETF News Analysis Free services Watchlists Virtual Portfolios Newsletters notifications New member Mobile App iPhone iPad SOLUTIONS European Portfolio USA Portfolio Asian Portfolio Stock screener Stock Picks Investment themes Tools customer About Surperformance SAS Legal information Stock Market Quotes Interactive brokers Best des tweets Stock Market News Brse: Aktien, Kurse und Nachrichten 2020 Surperformance. . Stock quotes provided Factset, Morningstar SP Capital IQ Slave
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https://hackernoon.com/how-ai-solves-scada-system-questions-around-remote-security-g11p3uo7
2020-07-22T00:00:00
en
How AI Solves SCADA System Questions Around Remote Security | Hacker Noon
How AI Solves SCADA System Questions Around Remote Security | Hacker NoonStart WritingStart WritingNoonies 2020Public Nominations Are Open!Back to the InternetDecentralizationFAQFuture HeroesPodcastSoftwareStoriesTechnologyVideoReadTechAIAutomationBusinessCoronaVirusDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereNoonies 2020Public Nominations Are Open!Back to the InternetDecentralizationFAQFuture HeroesPodcastSoftwareStoriesTechnologyVideoReadTechAIAutomationBusinessCoronaVirusDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning of LifeRoboticsSelf-Driving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero to MasteryData ScienceData science course 2020Deep learning A-ZMachine Learning, Data Science, Deep Learning PythonPython for Machine LearningStatistics for Data Science and Business AnalysisLanguagesHTML & CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words or LessLinkedInOn the GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit a Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd by TagBook a MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200+ Brands Publishing HereBuilding a GraphQL API in JavaScriptHow AI Solves SCADA System Questions Around Remote Security by@m_muslimiHow AI Solves SCADA System Questions Around Remote SecurityJune 29th 2020 @m_muslimiMehran MuslimiSr. Fintech Consultant, BTC, Blockchain, Cybersecurity, Artificial IntelligenceSecurity is a massive global industry and it is extremely diverse. Whether it is the protection of prize racehorses, or guarding utility infrastructures, the ‘threatscape’ is increasingly complex and requires a convergence of cybersecurity and the more traditional, physical forms of preventing theft and other forms of criminal activity. Artificial Intelligence (AI) is the most promising tool for deploying digital security, but as Louis Columbus remarks in a recent Forbes article, “What needs to be the top priority is improving the accuracy, insight, and speed of response to remote threats that AI-based video recognition systems provide.” Remote Vigilance is the Goal Remote security monitoring is the way forward. Companies want video cameras capable of night vision, infrared, and thermal imaging that provide 24/7 monitoring of equipment, sites, and valuable assets. So, where should we look for the most rapid advances in providing AI-led, remote security systems? One such company is Twenty20 Solutions, which is integrating machine learning with real-time video data feeds of remote sites. Its system is also able to identify any activity anomalies in real time, something that the market is clamouring for. Columbus says, “What’s noteworthy about this approach is the need many industries have to integrate cyber and physical security systems and get a 360-degree view of remote location threats.” What is a SCADA System? Twenty20 Solutions uses a SCADA system, which is the acronym for “Supervisory control and data acquisition.” This type of system has become the gold standard in industries such as telecommunications, water and waste control, energy, oil and gas refining, and transportation. Typically a SCADA system “integrates sensors, gauges, and devices to provide data telemetry and real-time information.” It’s a Big Market Research company IMARC has predicted worldwide growth in the SCADA market, assessing its value in 2024 at around $26 billion – a CAGR of 5.7% between 2019 and 2024. How AI Solves Security Issues One of the most important things to remember about AI and machine learning technology is that both are excellent at picking out visual anomalies via video recognition systems. There are three types of machine learning algorithms that support this ‘talent’, and will form a part of future-generation video recognition systems. One is ‘Supervised Learning Algorithms’. Here the algorithms are trained via data sets “to identify correct images of objectives, so when an anomalous image appears, they can identify it.” For example, supervised machine learning algorithms can identify, track, and monitor vehicle, machinery, asset, and remote location use patterns. Another is ‘Unsupervised Learning Algorithms’. These identify new patterns in images, and the oil and gas industry find it extremely useful for monitoring infrared and thermal data from remote equipment and assets. Lastly, there are ‘Reinforcement Learning Algorithms’. With this format, AI-based video recognition systems use algorithms to correct how they identify and update known images. In the case of industries that are heavily dependent on expensive equipment, this type of algorithm “helps to ensure the consistency, compliance levels, and safety of remote equipment located in diverse geographical locations.” The future of AI-led security is also important from the perspective of the Internet of Things, with video emerging as the most powerful sensor, and as Columbus remarks, “Agriculture, construction, oil & gas, utilities, and critical infrastructure industries need to consider how their IoT platforms can be integrated into a broader cybersecurity strategy to gain a 360-degree view of multifaceted threats being launched at their locations with increasing frequency.” Ultimately, it is the ability to identify threats in real-time that will boost the use of AI in this sector. It will close the gap between the traditional physical security measures and cybersecurity, thwarting criminal activity in ways the criminals will have to work much harder to find a way around them, if there is indeed a way to get around them at all. Share this story @m_muslimiMehran MuslimiRead my storiesSr. Fintech Consultant, BTC, Blockchain, Cybersecurity, Artificial IntelligenceRelatedOffshore 2.0 Bespoke Testing and Security ServicesVisit Shift Asia http://bit.ly/3dJdIRDpromotedThe Covid-19 Virus Has Just Reset The Global Economy!#coronavirus@m_muslimiMehran Muslimi3min04/05/20Why the future of socializing lies in VR#virtual-reality@GABRELYANOVASHOT07/21/20Tags#artificial-intelligence#security#scada#security-issues#ai-and-security#ai#remote-security-systems#what-is-a-scada-systemSubscribe to get your daily round-up of top tech stories!HelpAboutStart WritingSponsor:Brand-as-AuthorSitewide BillboardAd by tagNewsletterNooniesContact UsTermsPrivacyCookiesStories published yesterdayLeaderboardContributors' ClubChrome Extension
How AI Solves SCADA System Questions Around Remote Security
How AI Solves SCADA System Questions Around Remote Security Hacker NoonStart WritingStart WritingNoonies 2020Public Nominations Are OpenBack InternetDecentralizationFAQFuture HeroesPodcastSoftwareStoriesTechnologyVideoReadTechAIAutomationBusinessCoronaVirusDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop Stories0Write0LearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereNoonies 2020Public Nominations Are OpenBack InternetDecentralizationFAQFuture HeroesPodcastSoftwareStoriesTechnologyVideoReadTechAIAutomationBusinessCoronaVirusDataData ScienceDeep FakesEconomicsEntrepreneurshipFutureFoundersFundingIotManagementMarketingMeaning LifeRoboticsSelfDriving CarsStartupsVenture CapitalVirtual RealitySoftwareAgileAPIsArchitectureCCodingEngineeringJavaJavascriptKillersMVPNodeJSOpen SourcePHPProgrammingPythonReactRubySQLSwiftVimDecentralizationAltcoinsBitcoinBitcoin CashBitcoin SpotlightBlockchainCoilCryptocurrencyCardanoDAppsDoes It Work?DWebEOSEthereumFinanceLibraMind BlownRippleSpaceTetherTwitterTop StoriesWriteLearnWeb DevelopmentAngularComplete Javascript Course 2020Cyber SecurityWeb Developer BootcampWeb Developer Zero MasteryData ScienceData science course 2020Deep learning AZMachine Learning, Data Science, Deep Learning PythonPython Machine LearningStatistics Data Science Business AnalysisLanguagesHTML CSSJavascriptJavaPythonMongoDBSQLIn Partnership With UdemyAboutAboutA Recent StoryCEOCOOCPOEmail UsEquity CrowdfundraiseIn Six Words LessLinkedInOn GramOur PodcastTech GIFsWriteAdd Coil Meta TagBetter HeadlinesCreate Your Own Call To ActionHelp SectionGet PublishedSubmit Story SupportTroubleshooting Account CreationWriting GuideWrite NowSponsorsAd TagBook MeetingBrand As Author ProgramChatbotNewslettersNooniesSitewide Billboard200 Brands Publishing HereBuilding GraphQL API JavaScriptHow AI Solves SCADA System Questions Around Remote Security AI Solves SCADA System Questions Around Remote SecurityJune 29th 2020 MuslimiSr. Fintech Consultant, BTC, Blockchain, Cybersecurity, Artificial IntelligenceSecurity massive global industry extremely diverse. Whether protection prize racehorses, guarding utility infrastructures, threatscape increasingly complex requires convergence cybersecurity traditional, physical forms preventing theft forms criminal activity. Artificial Intelligence AI promising tool deploying digital security, Louis Columbus remarks recent Forbes article, What needs priority improving accuracy, insight, speed response remote threats AIbased video recognition systems provide. Remote Vigilance Goal Remote security monitoring way forward. Companies want video cameras capable night vision, infrared, thermal imaging provide 247 monitoring equipment, sites, valuable assets. So, look rapid advances providing AIled, remote security systems? One company Twenty20 Solutions,which integrating machine learning realtime video data feeds remote sites. Its able identify activity anomalies real time, market clamouring for. Columbus says, Whats noteworthy approach need industries integrate cyber physical security systems 360degree view remote location threats. What SCADA System? Twenty20 Solutions uses SCADA system, acronym Supervisory control data acquisition. This type gold standard industries telecommunications, water waste control, energy, oil gas refining, transportation. Typically SCADA integrates sensors, gauges, devices provide data telemetry realtime information. Its Big Market Research company IMARC predicted worldwide growth SCADA market, assessing value 2024 26 billion CAGR 5.7 2019 2024. How AI Solves Security Issues One important things remember AI machine learning technology excellent picking visual anomalies video recognition systems. There types machine learning algorithms support talent, form futuregeneration video recognition systems. One Supervised Learning Algorithms. Here algorithms trained data sets identify correct images objectives, anomalous image appears, identify it. For example, supervised machine learning algorithms identify, track, monitor vehicle, machinery, asset, remote location use patterns. Another Unsupervised Learning Algorithms. These identify new patterns images, oil gas industry extremely useful monitoring infrared thermal data remote equipment assets. Lastly, Reinforcement Learning Algorithms. With format, AIbased video recognition systems use algorithms correct identify update known images. In case industries heavily dependent expensive equipment, type algorithm helps ensure consistency, compliance levels, safety remote equipment located diverse geographical locations. The future AIled security important perspective Internet Things, video emerging powerful sensor, Columbus remarks, Agriculture, construction, oil gas, utilities, critical infrastructure industries need consider IoT platforms integrated broader cybersecurity strategy gain 360degree view multifaceted threats launched locations increasing frequency. Ultimately, ability identify threats realtime boost use AI sector. It close gap traditional physical security measures cybersecurity, thwarting criminal activity ways criminals work harder way them, way all. Share story MuslimiRead storiesSr. Fintech Consultant, BTC, Blockchain, Cybersecurity, Artificial IntelligenceRelatedOffshore 2.0 Bespoke Testing Security ServicesVisit Shift Asia Covid19 Virus Has Just Reset The Global Economycoronavirus Muslimi3min040520Why future socializing lies inVRvirtualreality daily roundup tech storiesHelpAboutStart WritingSponsor:BrandasAuthorSitewide BillboardAd tagNewsletterNoonies UsTermsPrivacysStories published yesterdayLeaderboardContributors ClubChrome Extension
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https://phys.org/news/2020-03-artificial-intelligence-disruptions-fusion-devices.html
2020-03-17T00:00:00
en
Artificial intelligence helps prevent disruptions in fusion devices
Artificial intelligence helps prevent disruptions in fusion devices Topics Week's top Latest news Unread news Subscribe Science X Account Remember me Sign In Click here to sign in with or Forget Password? Not a member? Sign up Learn more Nanotechnology Physics Earth Astronomy & Space Technology Chemistry Biology Other Sciences share this! 4 10 Share Email Home Physics Plasma Physics March 17, 2020 Artificial intelligence helps prevent disruptions in fusion devices by John Greenwald, Princeton Plasma Physics Laboratory Physicist Yichen Fu. Credit: Photo and collage by Elle Starkman/PPPL Office of Communications. An international team of scientists led by a graduate student at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) has demonstrated the use of Artificial Intelligence (AI), the same computing concept that will empower self-driving cars, to predict and avoid disruptions—the sudden release of energy stored in the plasma that fuels fusion reactions—that can halt the reactions and severely damage fusion facilities. Risk of disruptions Fusion devices called tokamaks run increased risk of disruptions as researchers, aiming to maximize fusion power to create on Earth the fusion that powers the sun and stars, bump up against the operational limits of the facilities. Scientists thus must be able to boost fusion power without hitting those limits. This capability will be crucial for ITER, the large international tokamak under construction in France to demonstrate the practicality of fusion energy. Fusion reactions combine light elements in the form of plasma—the hot, charged state of matter composed of free electrons and atomic nuclei that makes up 99 percent of the visible universe—to generate massive amounts of energy. Scientists around the world are seeking to create fusion for a virtually inexhaustible supply of safe and clean power to generate electricity. The researchers trained an AI machine learning algorithm, or set of rules, on thousands of previous experiments on the DIII-D National Fusion Facility that General Atomics operates for the DOE. Scientists then applied the rules in real-time to ongoing DIII-D experiments and found the algorithm capable of forecasting the likelihood of disruptions and initiating actions that averted the onset of disruptions. Relatively simple model "It's fascinating to see that a relatively simple machine learning model could accurately predict the complicated behavior of fusion plasma," said Yichen Fu, a graduate student in the Princeton Program in Plasma Physics at PPPL and lead author of a paper describing the findings in Physics of Plasmas and showcased in a featured American Institute of Physics publication called "SciLight." "It's great to see students leading multi-institutional teams and making a real impact on the development of machine learning methods for the control of fusion plasmas," said PPPL physicist Egemen Kolemen, supervisor of Yichen's work and an assistant professor of Mechanical and Aerospace Engineering at Princeton University. The results mark another step toward preventing disruptions in ITER and next-generation facilities, said physicist Raffi Nazikian, head of the ITER and Tokamak department at PPPL. "This work represents significant progress in the use of machine learning to develop a disruption prediction and avoidance method in fusion devices," Nazikian said. "However, a great deal of R&D is still required to improve the accuracy of the predictions and to develop fail-safe control methods to avoid disruptions in ITER and future reactors." Explore further Feeding fusion: hydrogen ice pellets prove effective for fueling fusion plasmas More information: Yichen Fu et al, Machine learning control for disruption and tearing mode avoidance, Physics of Plasmas (2020). DOI: 10.1063/1.5125581 Journal information: Physics of Plasmas Provided by Princeton Plasma Physics Laboratory Citation: Artificial intelligence helps prevent disruptions in fusion devices (2020, March 17) retrieved 17 March 2020 from https://phys.org/news/2020-03-artificial-intelligence-disruptions-fusion-devices.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. 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Feb 29, 2020 P-N junction Semiconductors Feb 29, 2020 Homemade cloud chamber not working Feb 28, 2020 More from Other Physics Topics Related Stories Feeding fusion: hydrogen ice pellets prove effective for fueling fusion plasmas Mar 10, 2020 Bank on it: Gains in one type of force produced by fusion disruptions are offset by losses in another Dec 02, 2019 Taking a new tangent to control pesky waves in fusion plasmas Oct 21, 2019 Powder, not gas: A safer, more effective way to create a star on Earth Dec 23, 2019 Newest supercomputer to help develop fusion energy in international device Jul 26, 2018 Blowing bubbles: Scientist confirms novel way to launch and drive current in fusion plasmas Nov 18, 2019 Recommended for you Permanent magnets stronger than those on refrigerator could be a solution for delivering fusion energy Mar 11, 2020 Design of the W7-X fusion device enables it to overcome obstacles, scientists find Feb 25, 2020 Using relativistic effects for laser fusion: A new approach for clean power Jan 07, 2020 Powder, not gas: A safer, more effective way to create a star on Earth Dec 23, 2019 Study calls 200-year-old law about gas mixtures into question Dec 09, 2019 When laser beams meet plasma: New data addresses gap in fusion research Dec 02, 2019 User comments What do you think about this particular story? 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Artificial intelligence helps prevent disruptions in fusion devices
Artificial intelligence helps prevent disruptions fusion devices Topics Weeks Latest news Unread news Science X Account Remember Click sign Forget Password? Not member? Sign Learn Nanotechnology Physics Earth Astronomy Space Technology Chemistry Biology Other Sciences share 4 10 Share Email Home Physics Plasma Physics March 17, 2020 Artificial intelligence helps prevent disruptions fusion devices John Greenwald, Princeton Plasma Physics Laboratory Physicist Yichen Fu. Credit: Photo collage Elle StarkmanPPPL Office Communications. An international team scientists led graduate student U.S. Department Energys DOE Princeton Plasma Physics Laboratory PPPL demonstrated use Artificial Intelligence AI, computing concept empower selfdriving cars, predict avoid disruptionsthe sudden release energy stored plasma fuels fusion reactionsthat halt reactions severely damage fusion facilities. Risk disruptions Fusion devices called tokamaks run increased risk disruptions researchers, aiming maximize fusion power create Earth fusion powers sun stars, bump operational limits facilities. Scientists able boost fusion power hitting limits. This capability crucial ITER, large international tokamak construction France demonstrate practicality fusion energy. Fusion reactions combine light elements form plasmathe hot, charged state matter composed free electrons atomic nuclei makes 99 percent visible universeto generate massive amounts energy. Scientists world seeking create fusion virtually inexhaustible supply safe clean power generate electricity. The researchers trained AI machine learning algorithm, set rules, thousands previous experiments DIIID National Fusion Facility General Atomics operates DOE. Scientists applied rules realtime ongoing DIIID experiments algorithm capable forecasting likelihood disruptions initiating actions averted onset disruptions. Relatively simple model Its fascinating relatively simple machine learning model accurately predict complicated behavior fusion plasma, said Yichen Fu, graduate student Princeton Program Plasma Physics PPPL lead author paper describing findings Physics Plasmas showcased featured American Institute Physics publication called SciLight. Its great students leading multiinstitutional teams making real impact development machine learning methods control fusion plasmas, said PPPL physicist Egemen Kolemen, supervisor Yichens work assistant professor Mechanical Aerospace Engineering Princeton University. The results mark step preventing disruptions ITER nextgeneration facilities, said physicist Raffi Nazikian, head ITER Tokamak department PPPL. This work represents significant progress use machine learning develop disruption prediction avoidance method fusion devices, Nazikian said. However, great deal RD required improve accuracy predictions develop failsafe control methods avoid disruptions ITER future reactors. Explore Feeding fusion: hydrogen ice pellets prove effective fueling fusion plasmas More information: Yichen Fu et al, Machine learning control disruption tearing mode avoidance, Physics Plasmas 2020. DOI: 10.10631.5125581 Journal information: Physics Plasmas Provided Princeton Plasma Physics Laboratory Citation: Artificial intelligence helps prevent disruptions fusion devices 2020, March 17 retrieved 17 March 2020 This document subject copyright. Apart fair dealing purpose private study research, reproduced written permission. 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Feb 29, 2020 PN junction Semiconductors Feb 29, 2020 Homemade cloud chamber working Feb 28, 2020 More Other Physics Topics Related Stories Feeding fusion: hydrogen ice pellets prove effective fueling fusion plasmas Mar 10, 2020 Bank it: Gains type force produced fusion disruptions offset losses Dec 02, 2019 Taking new tangent control pesky waves fusion plasmas Oct 21, 2019 Powder, gas: A safer, effective way create star Earth Dec 23, 2019 Newest supercomputer help develop fusion energy international device Jul 26, 2018 Blowing bubbles: Scientist confirms novel way launch drive current fusion plasmas Nov 18, 2019 Recommended Permanent magnets stronger refrigerator solution delivering fusion energy Mar 11, 2020 Design W7X fusion device enables overcome obstacles, scientists Feb 25, 2020 Using relativistic effects laser fusion: A new approach clean power Jan 07, 2020 Powder, gas: A safer, effective way create star Earth Dec 23, 2019 Study calls 200yearold law gas mixtures question Dec 09, 2019 When laser beams meet plasma: New data addresses gap fusion research Dec 02, 2019 User comments What think particular story? 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https://www.reuters.com/article/trump-ai/update-1-trump-signs-order-on-principles-for-us-government-ai-use-idUSL1N2IK03V
2020-12-04T00:00:00
en
Trump signs order on principles for U.S. government AI use | Reuters
Trump signs order on principles for U.S. government AI use | ReutersDiscover Thomson ReutersDirectory of sitesLoginContactSupportfor-phone-onlyfor-tablet-portrait-upfor-tablet-landscape-upfor-desktop-upfor-wide-desktop-upInnovation and Intellectual PropertyUpdated Trump signs order on principles for U.S. government AI useBy David Shepardson3 Min ReadWASHINGTON (Reuters) - U.S. President Donald Trump signed an executive order on Thursday setting guidance for federal agency use of artificial intelligence in government decision-making.U.S. President Donald Trump participates in a medal ceremony in the Oval Office at the White House in Washington, U.S. December 3, 2020. REUTERS/Jonathan ErnstThe White House said Trump was setting nine principles for the design, development, acquisition and use of AI in government in an effort “to foster public trust and confidence in the use of AI, and ensure that the use of AI protects privacy, civil rights, and civil liberties.”The order directs agencies to prepare inventories of AI-use cases throughout their departments and directs the White House to develop a road map for policy guidance for administrative use.Michael Kratsios, U.S. chief technology officer, said the order “will foster public trust in the technology, drive government modernization and further demonstrate America’s leadership in artificial intelligence.”The Trump administration has made artificial intelligence a priority, earlier issuing guidance to federal agencies aimed at limiting “overreach” in regulating the use of AI by private companies, while urging agencies to use AI to eliminate outdated regulations.The order emphasizes AI use must be “lawful; purposeful and performance-driven; accurate, reliable, and effective; safe, secure, and resilient; understandable; responsible and traceable; regularly monitored; transparent; and accountable.”AI is used by numerous government agencies for predictive enforcement tools and by regulatory agencies to process and review vast amounts of data to detect trends and shape policymaking.Some U.S. states and cities have raised concerns about AI applications, especially possible algorithmic bias in the use of facial-recognition software by law enforcement.A February report by Stanford and New York University researchers submitted to a U.S. administrative agency documented 157 use cases of AI by 64 federal agencies and said it could “modernize public administration, promoting more efficient, accurate, and equitable forms of state action.”But the report, titled “Government by Algorithm,” noted that AI can be used to deny benefits or make decisions affecting the public’s rights and could boost concerns about arbitrary government action.Reporting by David Shepardson; Editing by Aurora Ellis and Leslie AdlerOur Standards: The Thomson Reuters Trust Principles.AppsNewslettersAdvertise with UsAdvertising GuidelinesCookiesTerms of UsePrivacyDo Not Sell My Personal InformationAll quotes delayed a minimum of 15 minutes. See here for a complete list of exchanges and delays.© 0 Reuters. All Rights Reserved.for-phone-onlyfor-tablet-portrait-upfor-tablet-landscape-upfor-desktop-upfor-wide-desktop-up
Trump signs order on principles for U.S. government AI use
Trump signs order principles U.S. government AI use ReutersDiscover Thomson ReutersDirectory sitesSupportforphoneonlyfortabletportraitupfortabletlandscapeupfordesktopupforwidedesktopupInnovation Intellectual PropertyUpdated Trump signs order principles U.S. government AI useBy David Shepardson3 Min ReadWASHINGTON Reuters U.S. President Donald Trump signed executive order Thursday setting guidance federal agency use artificial intelligence government decisionmaking.U.S. President Donald Trump participates medal ceremony Oval Office White House Washington, U.S. December 3, 2020. REUTERSJonathan ErnstThe White House said Trump setting principles design, development, acquisition use AI government effort foster public trust confidence use AI, ensure use AI protects privacy, civil rights, civil liberties.The order directs agencies prepare inventories AIuse cases departments directs White House develop road map policy guidance administrative use.Michael Kratsios, U.S. chief technology officer, said order foster public trust technology, drive government modernization demonstrate Americas leadership artificial intelligence.The Trump administration artificial intelligence priority, earlier issuing guidance federal agencies aimed limiting overreach regulating use AI private companies, urging agencies use AI eliminate outdated regulations.The order emphasizes AI use lawful; purposeful performancedriven; accurate, reliable, effective; safe, secure, resilient; understandable; responsible traceable; regularly monitored; transparent; accountable.AI numerous government agencies predictive enforcement tools regulatory agencies process review vast amounts data detect trends shape policymaking.Some U.S. states cities raised concerns AI applications, especially possible algorithmic bias use facialrecognition software law enforcement.A February report Stanford New York University researchers submitted U.S. administrative agency documented 157 use cases AI 64 federal agencies said modernize public administration, promoting efficient, accurate, equitable forms state action.But report, titled Government Algorithm, noted AI deny benefits decisions affecting publics rights boost concerns arbitrary government action.Reporting David Shepardson; Editing Aurora Ellis Leslie AdlerOur Standards: The Thomson Reuters Trust Principles.AppsNewslettersAdvertise UsAdvertising GuidelinessTerms UsePrivacyDo Not Sell My Personal InformationAll quotes delayed minimum 15 minutes. See complete list exchanges delays. 0 Reuters. .forphoneonlyfortabletportraitupfortabletlandscapeupfordesktopupforwidedesktopup
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https://www.marketscreener.com/news/MATHia-by-Carnegie-Learning-Wins-ldquo-Best-Artificial-Intelligence-Solution-rdquo-in-The-EdTech--30596965/?utm_medium=RSS&utm_content=20200513
2020-05-13T00:00:00
en
MATHia® by Carnegie Learning Wins “Best Artificial Intelligence Solution” in The EdTech Awards 2020
MATHia® by Carnegie Learning Wins “Best Artificial Intelligence Solution” in The EdTech Awards 2020 Log in E-mail Password Remember Forgot password ? Become a member for free Sign up Sign up New memberSign up for FREE New customerDiscover our services United States United Kingdom Canada France Deutschland Schweiz (DE) Suisse (FR) Settings Dynamic quotes  OFFON Markets Equities North AmericaEuropeAsiaOceaniaMiddle East» More Equities Indexes DOW JONESS&P 500NASDAQ 100TSX COMPFTSE 100» More Indexes Currency / Forex EUR / USDGBP / USDUSD / JPYUSD / CADAUD / USD» More Currencies Commodities GOLDCrude Oil (WTI)Crude Oil (BRENT)SILVERPLATINUM» More Commodities Trackers & ETF Rankings and NewsAdvanced Search News Latest News CompaniesMarketsEconomyCurrency / ForexCommoditiesInterest RatesBusiness LeadersCryptocurrenciesEconomic calendar Listed company Analyst reco.RumorsIPOsCapital Markets TransactionsNew ContractsProfit warningsAppointmentsPress ReleasesEventsCorporate actionsFinancial calendar Sector News EnergyBasic MaterialsIndustrialsConsumer CyclicalConsumer Non-CyclicalFinancialsHealthcareTechnologyTelecommunications ServicesUtilities Analysis All AnalysisMust ReadDaily briefingWeekly market updateStock Trading Strategies Stock Picks All stock picksSubscribe Portfolios My Portfolio Virtual portfolios MarketScreener Portfolios USA PortfolioEuropean PortfolioAsian Portfolio Watchlists My Watchlists WatchlistsMy previous sessionMy most visitedMost popular Investment Strategies Yield stocksGrowth stocksUndervalued Stocks Investment themes Green EnergieIn Vino VeritasThe Vegan MarketFrench state ownershipEducationWaterSin stocksBiotechnologyAt the foot of the Mont Blanc Top / Flop Top News Most Read NewsHot News Top Fundamentals Top CapitalizationTop YieldTop PERTop ConsensusTop Fundamentals Top Technicals Top RSIUnusual volumesTop GapsTop STIMBreakoutsTrends Top Movers Top USATop CanadaTop U.K.Top GermanyTop EuropeTop Asia Screeners Investment selections Green EnergieIn Vino VeritasThe Vegan MarketFrench state ownershipEducationWater Technical Rankings Oversold stocksOverbought stocksClose to resistanceClose to supportAccumulation phaseMost volatile stocks Fundamental Rankings Top Investor RatingTop Trading RatingTop ConsensusGrowth stocksYield stocksLow valuations Stock Screener HomeMy Screeners All my stocksWatchlistsVirtual Portfolios Tools MarketScreener tools Stock ScreeneriPhone App Expert tools Stock Screener PROPortfolio CreatorEvent Screener Dynamic chartFinancial calendarEconomic calendarSector researchGuides thématiquesCurrency converterProRealTime Trading Our Services MarketScreener Portfolios European PortfolioUSA PortfolioAsian Portfolio Our Stock PicksThematic Investment ListsStock Screener MarketScreener Homepage  >  News  >  Companies  >  All News News : Companies Latest NewsCompaniesMarketsEconomy & ForexCommoditiesInterest RatesBusiness LeadersFinance Pro.CalendarSectorsAll News Analyst Recommendations Rumors IPOs Capital Markets Transactions New Contracts Profits warnings Appointments Press Releases Events Corporate actions MATHia® by Carnegie Learning Wins “Best Artificial Intelligence Solution” in The EdTech Awards 2020 0 05/13/2020 | 01:02pm EDT Send by mail : Last Name : First name : From* : To* : (You can enter multiple email addresses separated by commas) Message : *Required fields Company recognized for its “outstanding contribution in transforming education through technology to enrich the lives of learners everywhere” Carnegie Learning is proud to announce that MATHia®, its powerful adaptive learning math software, has won “Best Artificial Intelligence Solution” in The EdTech Awards 2020. MATHia uses artificial intelligence and cognitive science to mirror a human tutor with more complexity and precision than any other math software. It provides a simple-to-use, truly 1:1 personalized learning experience for every student, supporting students who are struggling while challenging those who are ready for more, all at the same time. Other software looks at the problem-by-problem path, adapting as it goes, but MATHia dives much deeper, at a very granular level, looking skill-by-skill. It uses artificial intelligence to understand how a student might, for example, use valid math concepts, but do so incorrectly. The result is that for students to move on, they need to first understand why they got something right and show mastery at the skill level. MATHia also includes LiveLab, a live facilitation tool that empowers teachers with in-the-moment actionable data to effectively manage students while they work in MATHia. Dynamic indicators show which students are working or idle at all times, while alerts let teachers know which students may need additional support. LiveLab uses machine learning to determine which students are most likely to benefit from immediate teacher intervention, and it can pinpoint the specific cognitive skills that might be preventing students from hitting content progression milestones. Leading the Charge in Artificial Intelligence It is expected that artificial intelligence in U.S. education will grow by 47.5% from 2017-20211, yet Carnegie Learning has been developing artificial intelligence to improve learning based on cognitive science and learning research since the 1980s. Researchers from Carnegie Mellon University—well-known as the epicenter of AI—designed the first intelligent math tutor, which grew and evolved to become the MATHia platform today.2 Responding to the Need for At-Home Learning MATHia was designed specifically for independent learning, giving each student their very own math coach while they can’t be with their teacher in the classroom. In response to school closures during the COVID-19 crisis, Carnegie Learning has given free MATHia access to teachers and students to help them stay on track and minimize unfinished learning. Carnegie Learning has also created a MATHia experience for families called “MATHia@Home,” which allows parents and caregivers to sign students up for instant access to grade-level appropriate content. Both solutions can be accessed for free now through the summer. “With the major disruption to schooling caused by the COVID-19 pandemic, it is more important than ever that students have consistent high-quality support for learning mathematics,” says Dr. Steve Ritter, Co-Founder and Chief Scientist at Carnegie Learning. “We're proud that our AI-based approach has been recognized for its ability to personalize instruction and transform students' lives.” “Carnegie Learning was founded on its commitment to leverage powerful artificial intelligence to help students truly learn mathematics,” says Barry Malkin, CEO. “Now more than ever, it is critical that learning technology support the efforts of teachers, both inside and outside of the classroom. We are proud to support that work and continue to partner with educators, scientists and researchers to ensure the continuity of learning during this difficult moment.” The EdTech Awards, celebrating its 10th anniversary this year, recognizes people in and around education for outstanding contributions in transforming education through technology to enrich the lives of learners everywhere. “This year has been different, to say the least,” said Victor Rivero, Editor-in-Chief of EdTech Digest who oversees the program. “However, despite formidable challenges brought about by world events—including locked-down cities, standstill travel, and closed offices, businesses and schools—we endure. While The EdTech Awards salutes all those on the front lines of help, with an extraordinary shift to online learning, really acknowledging the innovators, leaders, and trendsetters—particularly in our field—is more important than ever.” For more information on The EdTech Awards and to see the list of winners, visit https://edtechdigest.com/2020-finalists-winners. For more information on MATHia, visit www.carnegielearning.com/MATHia. ABOUT CARNEGIE LEARNING, INC. Carnegie Learning is a comprehensive, dynamic and progressive learning technology company. Advocating a belief in teaching and determination to help students develop as learners and thinkers, Carnegie Learning is seeking to re-define the role of technology across the K-12 landscape. It delivers research-proven mathematics curriculum and the MATHia® platform for grades 6-12, project-based digital solutions for computer science, and best-in-class K-12 professional learning services. EMC School, part of Carnegie Learning, delivers blended learning resources and services for 6-12 world languages and English language arts. Mondo Education, also part of Carnegie Learning, provides high-quality literacy resources and services for K-5 classrooms. For more information please visit: www.carnegielearning.com. ________________ 1https://www.researchandmarkets.com/reports/4613290/artificial-intelligence-market-in-the-us 2http://ctat.pact.cs.cmu.edu/index.php?id=timeline View source version on businesswire.com: https://www.businesswire.com/news/home/20200513005646/en/ © Business Wire 2020 0 Latest news "Companies" 01:20pAMAZON COM : extends temporary raise in pay through May 30RE 01:20pJACQUET METAL SERVICE : Q1 2020 resultsPU 01:17pAmazon.com asks for federal law against price gouging during national emergenciesRE 01:17pEZ TEXTING : Joins GoDaddy's #OpenWeStand Movement to Support Small BusinessesBU 01:16pKASKELA LAW LLC : Announces Stockholder Investigation of Velocity Financial, Inc. (VEL)PR 01:16pTeleCare, Signia's Pioneering Telehealth Solution, Now Available to Assist Veterans with Hearing LossGL 01:16pUPS To Launch Air Service From Gary/Chicago International AirportGL 01:16pAnalysis on Impact of COVID-19-Digital Signature Market 2020-2024 | Growing Number of Partnerships and Acquisitions to Boost Growth | TechnavioBU 01:15pAMAZON COM : CEO of Amazon, Berkshire, JPMorgan healthcare JV to step downRE 01:15pORACLE ENERGY : Amends letter of intent to acquire methanogenesis corporationPU Latest news "Companies" MOST READ NEWS 1GENTING SINGAPORE LIMITED : GENTING SINGAPORE : 1Q Revenue Fell 36% on Covid Impact 2TENCENT HOLDINGS LIMITED : China's Tencent wins on lockdown gaming boom 3Shares of sensor maker AMS dive after proposes capital hike 4EC WORLD REAL ESTATE INVESTMENT TRUS : EC WORLD REAL ESTATE INVESTMENT TRUST : REIT Delivers Distribution Per .. 5ABN AMRO BANK N.V. : ABN AMRO reports net loss of EUR 395 million in Q1 2020 More news HOT NEWS GENERAL ELECTRIC COM. -6.75% General Electric Down Over 5%, On Pace for Lowest Close Since December 1991 -- Data Talk SANTANDER CONSUMER U. -5.77% Lenders Race to Keep Up With Requests for Consumer-Debt Relief S&AMP;P 500 -1.98% In nod to grim U.S. outlook, Fed's Powell calls for more fiscal support STOCK SPIRITS GROUP . +17.53% Stock Spirits' : first-half earnings spike on stockpiling, off-trade sales SAF-HOLLAND +9.83% SAF-HOLLAND : Sell rating from Kepler Chevreux LPKF LASER & ELECTRO. +11.21% LPKF LASER : Warburg Research maintains a Buy rating More news Categories Indexes Equities Currencies Commodities Trackers / ETF News Analysis Video Free services Watchlists Virtual Portfolios Newsletters and notifications New member Mobile App iPhone - iPad SOLUTIONS European Portfolio USA Portfolio Asian Portfolio Stock screener Stock Picks Investment themes Tools Subscribe as customer About Surperformance SAS Contact Legal information Stock Market Quotes Interactive brokers Offre Binck Best of des tweets Stock Market News Börse: Aktien, Kurse und Nachrichten Copyright © 2020 Surperformance. 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MATHia® by Carnegie Learning Wins “Best Artificial Intelligence Solution” in The EdTech Awards 2020
MATHia Carnegie Learning Wins Best Artificial Intelligence Solution The EdTech Awards 2020 Log Email Password Remember Forgot password ? Become member free Sign Sign New memberSign FREE New customerDiscover services United States United Kingdom Canada France Deutschland Schweiz DE Suisse FR Settings Dynamic quotes OFFON Markets Equities North AmericaEuropeAsiaOceaniaMiddle East More Equities Indexes DOW JONESSP 500NASDAQ 100TSX COMPFTSE 100 More Indexes Currency Forex EUR USDGBP USDUSD JPYUSD CADAUD USD More Currencies Commodities GOLDCrude Oil WTICrude Oil BRENTSILVERPLATINUM More Commodities Trackers ETF Rankings NewsAdvanced News Latest News CompaniesMarketsEconomyCurrency ForexCommoditiesInterest RatesBusiness LeadersCryptocurrenciesEconomic calendar Listed company Analyst reco.RumorsIPOsCapital Markets TransactionsNew ContractsProfit warningsAppointmentsPress ReleasesEventsCorporate actionsFinancial calendar Sector News EnergyBasic MaterialsIndustrialsConsumer CyclicalConsumer NonCyclicalFinancialsHealthcareTechnologyTelecommunications ServicesUtilities Analysis All AnalysisMust ReadDaily briefingWeekly market updateStock Trading Strategies Stock Picks All stock picks Portfolios My Portfolio Virtual portfolios MarketScreener Portfolios USA PortfolioEuropean PortfolioAsian Portfolio Watchlists My Watchlists WatchlistsMy previous sessionMy visitedMost popular Investment Strategies Yield stocksGrowth stocksUndervalued Stocks Investment themes Green EnergieIn Vino VeritasThe Vegan MarketFrench state ownershipEducationWaterSin stocksBiotechnologyAt foot Mont Blanc Top Flop Top News Most Read NewsHot News Top Fundamentals Top CapitalizationTop YieldTop PERTop ConsensusTop Fundamentals Top Technicals Top RSIUnusual volumesTop GapsTop STIMBreakoutsTrends Top Movers Top USATop CanadaTop U.K.Top GermanyTop EuropeTop Asia Screeners Investment selections Green EnergieIn Vino VeritasThe Vegan MarketFrench state ownershipEducationWater Technical Rankings Oversold stocksOverbought stocksClose resistanceClose supportAccumulation phaseMost volatile stocks Fundamental Rankings Top Investor RatingTop Trading RatingTop ConsensusGrowth stocksYield stocksLow valuations Stock Screener HomeMy Screeners All stocksWatchlistsVirtual Portfolios Tools MarketScreener tools Stock ScreeneriPhone App Expert tools Stock Screener PROPortfolio CreatorEvent Screener Dynamic chartFinancial calendarEconomic calendarSector researchGuides thmatiquesCurrency converterProRealTime Trading Our Services MarketScreener Portfolios European PortfolioUSA PortfolioAsian Portfolio Our Stock PicksThematic Investment ListsStock Screener MarketScreener Home > News > Companies > All News News : Companies Latest NewsCompaniesMarketsEconomy ForexCommoditiesInterest RatesBusiness LeadersFinance Pro.CalendarSectorsAll News Analyst Recommendations Rumors IPOs Capital Markets Transactions New Contracts Profits warnings Appointments Press Releases Events Corporate actions MATHia Carnegie Learning Wins Best Artificial Intelligence Solution The EdTech Awards 2020 0 05132020 01:02pm EDT Send mail : Last Name : First : From : To : You enter multiple email addresses separated commas Message : Required fields Company recognized outstanding contribution transforming education technology enrich lives learners Carnegie Learning proud announce MATHia, powerful adaptive learning math software, Best Artificial Intelligence Solution The EdTech Awards 2020. MATHia uses artificial intelligence cognitive science mirror human tutor complexity precision math software. It provides simpletouse, truly 1:1 personalized learning experience student, supporting students struggling challenging ready more, time. Other software looks problembyproblem path, adapting goes, MATHia dives deeper, granular level, looking skillbyskill. It uses artificial intelligence understand student might, example, use valid math concepts, incorrectly. The result students on, need understand got right mastery skill level. MATHia includes LiveLab, live facilitation tool empowers teachers inthemoment actionable data effectively manage students work MATHia. Dynamic indicators students working idle times, alerts let teachers know students need additional support. LiveLab uses machine learning determine students likely benefit immediate teacher intervention, pinpoint specific cognitive skills preventing students hitting content progression milestones. Leading Charge Artificial Intelligence It expected artificial intelligence U.S. education grow 47.5 201720211, Carnegie Learning developing artificial intelligence improve learning based cognitive science learning research 1980s. Researchers Carnegie Mellon Universitywellknown epicenter AIdesigned intelligent math tutor, grew evolved MATHia platform today.2 Responding Need AtHome Learning MATHia designed specifically independent learning, giving student math coach teacher classroom. In response school closures COVID19 crisis, Carnegie Learning given free MATHia access teachers students help stay track minimize unfinished learning. Carnegie Learning created MATHia experience families called MATHia allows parents caregivers sign students instant access gradelevel appropriate content. Both solutions accessed free summer. With major disruption schooling caused COVID19 pandemic, important students consistent highquality support learning mathematics, says Dr. Steve Ritter, CoFounder Chief Scientist Carnegie Learning. Were proud AIbased approach recognized ability personalize instruction transform students lives. Carnegie Learning founded commitment leverage powerful artificial intelligence help students truly learn mathematics, says Barry Malkin, CEO. Now ever, critical learning technology support efforts teachers, inside outside classroom. We proud support work continue partner educators, scientists researchers ensure continuity learning difficult moment. The EdTech Awards, celebrating 10th anniversary year, recognizes people education outstanding contributions transforming education technology enrich lives learners everywhere. This year different, least, said Victor Rivero, EditorinChief EdTech Digest oversees program. However, despite formidable challenges brought world eventsincluding lockeddown cities, standstill travel, closed offices, businesses schoolswe endure. While The EdTech Awards salutes lines help, extraordinary shift online learning, acknowledging innovators, leaders, trendsettersparticularly fieldis important ever. For information The EdTech Awards list winners, visit For information MATHia, visit ABOUT CARNEGIE LEARNING, INC. Carnegie Learning comprehensive, dynamic progressive learning technology company. Advocating belief teaching determination help students develop learners thinkers, Carnegie Learning seeking redefine role technology K12 landscape. It delivers researchproven mathematics curriculum MATHia platform grades 612, projectbased digital solutions science, bestinclass K12 professional learning services. EMC School, Carnegie Learning, delivers blended learning resources services 612 world languages English language arts. Mondo Education, Carnegie Learning, provides highquality literacy resources services K5 classrooms. For information visit: ________________ 1 2 View source version : Business Wire 2020 0 Latest news Companies 01:20pAMAZON COM : extends temporary raise pay May 30RE 01:20pJACQUET METAL SERVICE : Q1 2020 resultsPU 01: asks federal law price gouging national emergenciesRE 01:17pEZ TEXTING : Joins GoDaddys OpenWeStand Movement Support Small BusinessesBU 01:16pKASKELA LAW LLC : Announces Stockholder Investigation Velocity Financial, . VELPR 01:16pTeleCare, Signias Pioneering Telehealth Solution, Now Available Assist Veterans Hearing LossGL 01:16pUPS To Launch Air Service From GaryChicago International AirportGL 01:16pAnalysis Impact COVID19Digital Signature Market 20202024 Growing Number Partnerships Acquisitions Boost Growth TechnavioBU 01:15pAMAZON COM : CEO Amazon, Berkshire, JPMorgan healthcare JV step downRE 01:15pORACLE ENERGY : Amends letter intent acquire methanogenesis corporationPU Latest news Companies MOST READ NEWS 1GENTING SINGAPORE LIMITED : GENTING SINGAPORE : 1Q Revenue Fell 36 Covid Impact 2TENCENT HOLDINGS LIMITED : Chinas Tencent wins lockdown gaming boom 3Shares sensor maker AMS dive proposes capital hike 4EC WORLD REAL ESTATE INVESTMENT TRUS : EC WORLD REAL ESTATE INVESTMENT TRUST : REIT Delivers Distribution Per .. 5ABN AMRO BANK N.V. : ABN AMRO reports net loss EUR 395 million Q1 2020 More news HOT NEWS GENERAL ELECTRIC COM. 6.75 General Electric Down Over 5, On Pace Lowest Close Since December 1991 Data Talk SANTANDER CONSUMER U. 5.77 Lenders Race Keep Up With Requests ConsumerDebt Relief SAMP;P 500 1.98 In nod grim U.S. outlook, Feds Powell calls fiscal support STOCK SPIRITS GROUP . 17.53 Stock Spirits : firsthalf earnings spike stockpiling, offtrade sales SAFHOLLAND 9.83 SAFHOLLAND : Sell rating Kepler Chevreux LPKF LASER ELECTRO. 11.21 LPKF LASER : Warburg Research maintains Buy rating More news Categories Indexes Equities Currencies Commodities Trackers ETF News Analysis Video Free services Watchlists Virtual Portfolios Newsletters notifications New member Mobile App iPhone iPad SOLUTIONS European Portfolio USA Portfolio Asian Portfolio Stock screener Stock Picks Investment themes Tools customer About Surperformance SAS Legal information Stock Market Quotes Interactive brokers Offre Binck Best des tweets Stock Market News Brse: Aktien, Kurse und Nachrichten 2020 Surperformance. . 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"slave" ]
1
POSITIVE
790
https://prnewsleader.com/uncategorized/1544133/data-science-and-machine-learning-service-market-2020-business-outlook-by-growth-projection-and-company-profiles-international-business-machine-fico-att-hewlett-packard-enterprise-developmen/
2020-11-04T00:00:00
en
Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – PRnews Leader
Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google – PRnews Leader Skip to the content Search PRnews Leader Menu News Space Coronavirus Energy All News Contact us Search Search for: Close search Close Menu News Space Coronavirus Energy All News Contact us Categories All News Coronavirus News Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles – International Business Machine, Fico, At&T, Hewlett-Packard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, DataScience.com, Google Post author By anita_adroit Post date November 4, 2020 “ The research study Global Data Science and Machine Learning Service Industry 2020 offers strategic assessment of the market. The industry report focuses on the growth opportunities, which will help the Global Data Science and Machine Learning Service market to expand operations in the existing markets. The report covers major manufacturers analysis with company profile, product picture and specifications, sales volume, revenue, price and Data Science and Machine Learning Service gross margin and contact information. This extensive research report focusing on global Data Science and Machine Learning Service market compiled and presented by Orbis Research portrays a detailed analytical assessment of notable trends, future specific market growth opportunities, end-user profile as well as challenge overview of the current Data Science and Machine Learning Service market scenario has also been encapsulated in the report. The primary focus of the report is to highlight and understand multiple market developments across the global Data Science and Machine Learning Service market ecosystem that influence logical reader discretion. For a Sample Copy Click Here: https://www.orbisresearch.com/contacts/request-sample/4640291 Top players of global Data Science and Machine Learning Service market are: International Business Machine Fico At&T Hewlett-Packard Enterprise Development Microsoft ZS Amazon Web Services Bigml Mango Solutions LatentView Analytics DataScience.com Google Further in the Data Science and Machine Learning Service report articulation by Orbis Research, readers are also equipped with considerable understanding on overall geographical expanse, highlighting market growth hotspots, also shedding visible light on competent market participants complete with their Data Science and Machine Learning Service market positioning, company status, product and service highlights as well. The study assess new product and service positioning strategies in the world Data Science and Machine Learning Service market. Furthermore, the new and evolving technologies and their impact on the Data Science and Machine Learning Service market is analyzed in detail in this report. Distinst types of Data Science and Machine Learning Service industry includes Consulting Management Solution Miscellaneous applications of Data Science and Machine Learning Service market incorporates Banking Insurance Retail Media and Entertainment After that, Data Science and Machine Learning Service industry development policies as well as plans are discussed and manufacturing processes as well as cost structures for Data Science and Machine Learning Service market. This report “Worldwide Data Science and Machine Learning Service Market” also states import/export, supply and consumption figures and Data Science and Machine Learning Service market cost, price, revenue and Data Science and Machine Learning Service market’s gross margin by regions. Other regions can be added in Data Science and Machine Learning Service Market area. Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4640291 Additionally, the leading players in the world Data Science and Machine Learning Service industry have been profiled in this report. The key Data Science and Machine Learning Service market players with their business overview, marketing strategies, strategic alliances and acquisitions are included in this Data Science and Machine Learning Service market report. The report (Worldwide Data Science and Machine Learning Service Market) features significant industry insights, Data Science and Machine Learning Service market expectations, and key developments, which will help firms operating in the Data Science and Machine Learning Service market to make informed business decisions. In addition, detailed business overview, Data Science and Machine Learning Service market revenue analysis, strategies, and SWOT analysis of the key players has been included in the report. Players in the Global Data Science and Machine Learning Service market are aiming to expand their operations to emerging regions. Further, companies in the Data Science and Machine Learning Service market are focusing on innovation and positioning their products at competitive prices. An in-depth Data Science and Machine Learning Service supply chain analysis in the report will give readers a better understanding of the Data Science and Machine Learning Service market. The report also delivers a detailed segment-based assessment of the Global Data Science and Machine Learning Service market. The segments together with their sub-segments have been analyzed in this report. Furthermore, the Data Science and Machine Learning Service report evaluates the trends that will help to fuel the growth of the individual sectors. The key segments coupled with with their Data Science and Machine Learning Service market forecasts both in terms of revenue and volume have been covered in the Data Science and Machine Learning Service market research study. The worldwide Data Science and Machine Learning Service industry report also talks about the emerging geographical sectors in Data Science and Machine Learning Service market and the trends that will drive the industry across these regional segments. About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager – Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 Email ID: [email protected] Direct Purchase Report @ https://www.orbisresearch.com/contact/purchase-single-user/4640291 ” ← Aircraft Insurance Market 2020 Business Outlook By Growth Projection and Company Profiles – Starr International, Allianz, Marsh, Old Republic Aerospace, Inc., AIG, Chubb, Santam Insurance, Ace Aviation, Munich Re, AXA, Berkshire Hathaway → IT Management as a Service Market 2020 Business Outlook By Growth Projection and Company Profiles – SAP, Sofigate, ServiceNow, ManageEngine, VMware, Fujitsu, Sunrise Software, HP, BMC Software, Absolute Software, SysAid Technologies, Epicor Software, EMC Infra, CA Technologies, Symantec, FrontRange Solutions, SunView Software, Cherwell Software, Microsoft, Serena Software, Hornbill, IBM, Oracle Search for: Recent Posts Cloud Financial Planning And Analysis Solution Market: Year 2020-2027 and its detail analysis by focusing on top key players like Adaptive Insights, CCH Tagetik, Workiva, Oracle Incinerator Market Size 2020 Top Countries Data Analysis by Industry Share, Progress Insight, Company Overview, Industrial Statistics, Regional Economy, Development and Forecast to 2025 Global Tetramethylsilane (4MS) Market Outlook, Growth By Top Company, Region, Application, Driver, Trends & Forecasts By 2025 Global Trimethylsilane (3MS) Gas Market: Business Opportunities, Current Trends, Market Challenges & Industry Analysis By 2025 Horse Riding Boots Market (2020-2026) | What Recent Study Say About Top Companies | DataIntelo Archives November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log in Entries feed Comments feed WordPress.org © 2020 PRnews Leader Powered by WordPress To the top ↑ Up ↑
Data Science and Machine Learning Service Market 2020 Business Outlook By Growth Projection and Company Profiles
Data Science Machine Learning Service Market 2020 Business Outlook By Growth Projection Company Profiles International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google PRnews Leader Skip content PRnews Leader Menu News Space Coronavirus Energy All News for: Close search Close Menu News Space Coronavirus Energy All News Categories All News Coronavirus News Data Science Machine Learning Service Market 2020 Business Outlook By Growth Projection Company Profiles International Business Machine, Fico, AtT, HewlettPackard Enterprise Development, Microsoft, ZS, Amazon Web Services, Bigml, Mango Solutions, LatentView Analytics, , Google Post author By anita_adroit Post date November 4, 2020 The research study Global Data Science Machine Learning Service Industry 2020 offers strategic assessment market. The industry report focuses growth opportunities, help Global Data Science Machine Learning Service market expand operations existing markets. The report covers major manufacturers analysis company profile, product picture specifications, sales volume, revenue, price Data Science Machine Learning Service gross margin contact information. This extensive research report focusing global Data Science Machine Learning Service market compiled presented Orbis Research portrays detailed analytical assessment notable trends, future specific market growth opportunities, enduser profile challenge overview current Data Science Machine Learning Service market scenario encapsulated report. The primary focus report highlight understand multiple market developments global Data Science Machine Learning Service market ecosystem influence logical reader discretion. For Sample Copy Click Here: Top players global Data Science Machine Learning Service market are: International Business Machine Fico AtT HewlettPackard Enterprise Development Microsoft ZS Amazon Web Services Bigml Mango Solutions LatentView Analytics Google Further Data Science Machine Learning Service report articulation Orbis Research, readers equipped considerable understanding overall geographical expanse, highlighting market growth hotspots, shedding visible light competent market participants complete Data Science Machine Learning Service market positioning, company status, product service highlights well. The study assess new product service positioning strategies world Data Science Machine Learning Service market. Furthermore, new evolving technologies impact Data Science Machine Learning Service market analyzed report. Distinst types Data Science Machine Learning Service industry includes Consulting Management Solution Miscellaneous applications Data Science Machine Learning Service market incorporates Banking Insurance Retail Media Entertainment After that, Data Science Machine Learning Service industry development policies plans discussed manufacturing processes cost structures Data Science Machine Learning Service market. This report Worldwide Data Science Machine Learning Service Market states importexport, supply consumption figures Data Science Machine Learning Service market cost, price, revenue Data Science Machine Learning Service markets gross margin regions. Other regions added Data Science Machine Learning Service Market area. Ask Expert You Have Query at: Additionally, leading players world Data Science Machine Learning Service industry profiled report. The key Data Science Machine Learning Service market players business overview, marketing strategies, strategic alliances acquisitions included Data Science Machine Learning Service market report. The report Worldwide Data Science Machine Learning Service Market features significant industry insights, Data Science Machine Learning Service market expectations, key developments, help firms operating Data Science Machine Learning Service market informed business decisions. In addition, detailed business overview, Data Science Machine Learning Service market revenue analysis, strategies, SWOT analysis key players included report. Players Global Data Science Machine Learning Service market aiming expand operations emerging regions. Further, companies Data Science Machine Learning Service market focusing innovation positioning products competitive prices. An indepth Data Science Machine Learning Service supply chain analysis report readers better understanding Data Science Machine Learning Service market. The report delivers detailed segmentbased assessment Global Data Science Machine Learning Service market. The segments subsegments analyzed report. Furthermore, Data Science Machine Learning Service report evaluates trends help fuel growth individual sectors. The key segments coupled Data Science Machine Learning Service market forecasts terms revenue volume covered Data Science Machine Learning Service market research study. The worldwide Data Science Machine Learning Service industry report talks emerging geographical sectors Data Science Machine Learning Service market trends drive industry regional segments. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Email ID: [emailprotected] Direct Purchase Report @ Aircraft Insurance Market 2020 Business Outlook By Growth Projection Company Profiles Starr International, Allianz, Marsh, Old Republic Aerospace, ., AIG, Chubb, Santam Insurance, Ace Aviation, Munich Re, AXA, Berkshire Hathaway IT Management Service Market 2020 Business Outlook By Growth Projection Company Profiles SAP, Sofigate, ServiceNow, ManageEngine, VMware, Fujitsu, Sunrise Software, HP, BMC Software, Absolute Software, SysAid Technologies, Epicor Software, EMC Infra, CA Technologies, Symantec, FrontRange Solutions, SunView Software, Cherwell Software, Microsoft, Serena Software, Hornbill, IBM, Oracle for: Recent Posts Cloud Financial Planning And Analysis Solution Market: Year 20202027 analysis focusing key players like Adaptive Insights, CCH Tagetik, Workiva, Oracle inerator Market Size 2020 Top Countries Data Analysis Industry Share, Progress Insight, Company Overview, Industrial Statistics, Regional Economy, Development Forecast 2025 Global Tetramethylsilane 4MS Market Outlook, Growth By Top Company, Region, Application, Driver, Trends Forecasts By 2025 Global Trimethylsilane 3MS Gas Market: Business Opportunities, Current Trends, Market Challenges Industry Analysis By 2025 Horse Riding Boots Market 20202026 What Recent Study Say About Top Companies DataIntelo Archives November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 Categories All News Coronavirus Energy News Space Meta Log Entries feed Comments feed 2020 PRnews Leader Powered WordPress To Up
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https://scientect.com/uncategorized/1503501/artificial-intelligence-in-pharmaceutical-market-next-big-thing-2020-major-giants-novartis-verge-genomics-bayer-merck-cyclia/
2020-09-10T00:00:00
en
Artificial Intelligence in Pharmaceutical Market Next Big Thing 2020 | Major Giants Novartis, Verge Genomics, Bayer, Merck, Cyclia – Scientect
Artificial Intelligence in Pharmaceutical Market Next Big Thing 2020 | Major Giants Novartis, Verge Genomics, Bayer, Merck, Cyclia – Scientect Skip to content Menu Energy News Space Uncategorized Market Reports Contact Search for: Search Scientect Scientect Market Research Menu Energy News Space Uncategorized Market Reports Contact Search for: Search Flash News Trucks Market Estimated to Soar Higher During 2019-2027 Biology Laboratory Sterile Plastic Bags Market: Emerging Economies Expected to Influence Growth until 2025 Short Throw Projector Market 2020: Industry Analysis, Size, Share, Trends, Key Companies (Epson, BenQ, Optoma, Hitachi, More) and Forecasts 2025 Trending News: Photoinitiators Market New Trends, Size, Share, Growth, Outlook, Overview, Application and Forecast 2020 to 2026: Key Players-IGM Resins, Tianjin Jiuri New Materials, BASF Carbon Dioxide Analyzers Market to Witness Huge Growth by 2026 | Nuvair, ELTRA, Thermo Fisher Scientific, etc. 3D IC and 2.5D IC Market to eyewitness massive growth by 2027 | TSMC (Taiwan), Samsung (South Korea), Toshiba (Japan), ASE Group (Taiwan), Amkor (U.S.) Fillings & Toppings Market Size, Share, Growth, Revenue, Global Industry Analysis and Future Demand | Fortune Business Insights™ Steam Traps Market and Ecosystem, Business Growth, Trends (Spirax Sarco, Armstrong, Pentair, Velan, More) Comprehensive Report on Drainage Market 2020 | Trends, Growth Demand, Opportunities & Forecast To 2026 | HDR, Aecom, HOCHTIEF AG, Jacobs, Saipem Global Demolition Hammer Market Is Thriving Worldwide | Leading Key players Bosch, Makita, Hilti, etc. Thursday, September 10, 2020 Market Reports News Uncategorized Artificial Intelligence in Pharmaceutical Market Next Big Thing 2020 | Major Giants Novartis, Verge Genomics, Bayer, Merck, Cyclia ajay September 10, 2020 “Market Scenario of the Artificial Intelligence in Pharmaceutical Market: The industry study on Artificial Intelligence in Pharmaceutical outlines national and global business prospects and competitive scenarios for Artificial Intelligence in Pharmaceutical . Estimation of market size and projections were given based on a unique research design tailored to the complexities of the Artificial Intelligence in Pharmaceutical . Sample Copy of This Report @ https://www.quincemarketinsights.com/request-sample-68802?utm_source=ST/Lokesh The prominent players covered in this report: Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare. Major regions covered in the study include North America, Europe, Asia Pacific, Middle East & Africa, And South America. The Artificial Intelligence in Pharmaceutical market has been segmented By Application (Diagnosis, Clinical trial research, Drug Discovery, R&D, Epidemic prediction), By End Users ( Hospitals, Clinical trial lab, Research institute). Also, key factors impacting the growth of the Artificial Intelligence in Pharmaceutical market have been identified with potential gravity. Years Covered in the Study: Historic Year: 2017-2018 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2028 Get ToC for the overview of the premium report @ https://www.quincemarketinsights.com/request-toc-68802?utm_source=ST/Lokesh The Artificial Intelligence in Pharmaceutical market report comprises domestic and global markets. This study on Artificial Intelligence in Pharmaceutical market compiles internationally influential players and their business strategies to understand industry strategies. Some points that are the highlights are: To estimate national and global market size for Artificial Intelligence in Pharmaceutical . Identification of the major segments in the market of Artificial Intelligence in Pharmaceutical and assessing their market shares and demand. To have a competitive scenario for the demand for Artificial Intelligence in Pharmaceutical with significant developments witnessed in the historic years by the main companies. To determine key factors that control the dynamics of the Artificial Intelligence in Pharmaceutical with their potential gravity during the forecast period. Reasons for buying this report: It offers an analysis of changing competitive scenario. For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies. It offers seven-year assessment of Global Artificial Intelligence in Pharmaceutical It helps in understanding the major key product segments. Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities. It offers regional analysis of Global Artificial Intelligence in Pharmaceutical Market along with business profiles of several stakeholders. It offers massive data about trending factors that will influence the progress of the Global Artificial Intelligence in Pharmaceutical Make an Enquiry for purchasing this Report @ https://www.quincemarketinsights.com/enquiry-before-buying/enquiry-before-buying-68802?utm_source=ST/Lokesh About Us: QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the world’s most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns. Contact Us: Quince Market Insights Ajay D. 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Required fields are marked *Comment Name * Email * Website Search for: Recent Posts Trucks Market Estimated to Soar Higher During 2019-2027 Biology Laboratory Sterile Plastic Bags Market: Emerging Economies Expected to Influence Growth until 2025 Short Throw Projector Market 2020: Industry Analysis, Size, Share, Trends, Key Companies (Epson, BenQ, Optoma, Hitachi, More) and Forecasts 2025 Trending News: Photoinitiators Market New Trends, Size, Share, Growth, Outlook, Overview, Application and Forecast 2020 to 2026: Key Players-IGM Resins, Tianjin Jiuri New Materials, BASF Carbon Dioxide Analyzers Market to Witness Huge Growth by 2026 | Nuvair, ELTRA, Thermo Fisher Scientific, etc. Recent CommentsYolande Essman on Impact of COVID 19-Global Salesforce CPQ Consulting Services Market Research Report |Simplus, SevenPoints, Code Zero Consulting, Algoworks, Bluewolf, Deloitte Digital, Keste, Statera, CapGemini, RelationEdge, LLC, etc.Cindi Meder on Impact of COVID 19-Global Body Contouring Devices Market To Record An Exponential CAGR By 2028| Alma Lasers, Cutera, CynoSure, DEKA, Invasix Aesthetic Solutions, Lumenis, Syneron Candela, Solta Medical.Milly Younts on Global Topical Absorbable Hemostats Market to Record an Exponential CAGR by 2028Phillis Garlinger on Impact of COVID 19-Global Remote Catheter Manipulation Device Market Research Report 2020: Sterotaxis, Inc., Hansen Medical, Catheter Precision Inc., Boston scientific, Biosense Webster.bbc sport on Latest Update 2020: Mobile Payment Transaction Service Market by COVID19 Impact Analysis And Top Manufacturers: Vodacom Group Limited Orange S.A. 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Artificial Intelligence in Pharmaceutical Market Next Big Thing 2020
Artificial Intelligence Pharmaceutical Market Next Big Thing 2020 Major Giants Novartis, Verge Genomics, Bayer, Merck, Cyclia Scientect Skip content Menu Energy News Space Uncategorized Market Reports for: Scientect Scientect Market Research Menu Energy News Space Uncategorized Market Reports for: Flash News Trucks Market Estimated Soar Higher During 20192027 Biology Laboratory Sterile Plastic Bags Market: Emerging Economies Expected Influence Growth 2025 Short Throw Projector Market 2020: Industry Analysis, Size, Share, Trends, Key Companies Epson, BenQ, Optoma, Hitachi, More Forecasts 2025 Trending News: Photoinitiators Market New Trends, Size, Share, Growth, Outlook, Overview, Application Forecast 2020 2026: Key PlayersIGM Resins, Tianjin Jiuri New Materials, BASF Carbon Dioxide Analyzers Market Witness Huge Growth 2026 Nuvair, ELTRA, Thermo Fisher Scientific, etc. 3D IC 2.5D IC Market eyewitness massive growth 2027 TSMC Taiwan, Samsung South Korea, Toshiba Japan, ASE Group Taiwan, Amkor U.S. Fillings Toppings Market Size, Share, Growth, Revenue, Global Industry Analysis Future Demand Fortune Business Insights Steam Traps Market Ecosystem, Business Growth, Trends Spirax Sarco, Armstrong, Pentair, Velan, More Comprehensive Report Drainage Market 2020 Trends, Growth Demand, Opportunities Forecast To 2026 HDR, Aecom, HOCHTIEF AG, Jacobs, Saipem Global Demolition Hammer Market Is Thriving Worldwide Leading Key players Bosch, Makita, Hilti, etc. Thursday, September 10, 2020 Market Reports News Uncategorized Artificial Intelligence Pharmaceutical Market Next Big Thing 2020 Major Giants Novartis, Verge Genomics, Bayer, Merck, Cyclia ajay September 10, 2020 Market Scenario Artificial Intelligence Pharmaceutical Market: The industry study Artificial Intelligence Pharmaceutical outlines national global business prospects competitive scenarios Artificial Intelligence Pharmaceutical . Estimation market size projections given based unique research design tailored complexities Artificial Intelligence Pharmaceutical . Sample Copy This Report @ The prominent players covered report: Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare. Major regions covered study include North America, Europe, Asia Pacific, Middle East Africa, And South America. The Artificial Intelligence Pharmaceutical market segmented By Application Diagnosis, Clinical trial research, Drug Discovery, RD, Epidemic prediction, By End Users Hospitals, Clinical trial lab, Research institute. Also, key factors impacting growth Artificial Intelligence Pharmaceutical market identified potential gravity. Years Covered Study: Historic Year: 20172018 Base Year: 2019 Estimated Year: 2020 Forecast Year: 2028 Get ToC overview premium report @ The Artificial Intelligence Pharmaceutical market report comprises domestic global markets. This study Artificial Intelligence Pharmaceutical market compiles internationally influential players business strategies understand industry strategies. Some points highlights are: To estimate national global market size Artificial Intelligence Pharmaceutical . Identification major segments market Artificial Intelligence Pharmaceutical assessing market shares demand. To competitive scenario demand Artificial Intelligence Pharmaceutical significant developments witnessed historic years main companies. To determine key factors control dynamics Artificial Intelligence Pharmaceutical potential gravity forecast period. Reasons buying report: It offers analysis changing competitive scenario. For making informed decisions businesses, offers analytical data strategic planning methodologies. It offers sevenyear assessment Global Artificial Intelligence Pharmaceutical It helps understanding major key product segments. Researchers throw light dynamics market drivers, restraints, trends, opportunities. It offers regional analysis Global Artificial Intelligence Pharmaceutical Market business profiles stakeholders. It offers massive data trending factors influence progress Global Artificial Intelligence Pharmaceutical Make Enquiry purchasing Report @ : QMI comprehensive collection market research products services available web. We deliver reports virtually major publications refresh list regularly provide immediate online access worlds extensive uptodate archive professional insights global markets, companies, goods, patterns. Us: Quince Market Insights Ajay D. Knowledge Partner Office No A109 Pune, Maharashtra 411028 Phone: APAC 91 706 672 4848 US 1 208 405 2835 UK 44 1444 39 0986 Email: [emailprotected] Web: Artificial Intelligence In PharmaceuticalArtificial Intelligence Pharmaceutical Industry GrowthArtificial Intelligence Pharmaceutical Industry NewsArtificial Intelligence Pharmaceutical MarketArtificial Intelligence Pharmaceutical Market AnalysisArtificial Intelligence Pharmaceutical Market DemandArtificial Intelligence Pharmaceutical Market ForecastArtificial Intelligence Pharmaceutical Market GrowthArtificial Intelligence Pharmaceutical Market NewsArtificial Intelligence Pharmaceutical Market ReportArtificial Intelligence Pharmaceutical Market ResearchArtificial Intelligence In Pharmaceutical Market ShareArtificial Intelligence Pharmaceutical Market SizeArtificial Intelligence In Pharmaceutical Market TrendsU.S Artificial Intelligence Pharmaceutical Market Post navigation Global Rigid Sleeve Couplings Market Analysis 2020, Changing Consumer Demand During COVID19 Pandemic Altra Industrial Motion, Climax Metal Products, RulandGlobal Precision Parts Market : Analysis Indepth study market Size Trends, Emerging Growth Factors Regional Forecast 2027 Leave Reply Cancel replyYour email address published. 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IntelliSpace Discovery End-to-end AI solution for medical research | Philips
IntelliSpace Discovery End-to-end AI solution for medical research | Philips Home Products & Services Back Products & Services Products Products & Services Products Advanced Molecular Imaging Computed Tomography Diagnostic ECG Diagnostic informatics Back Diagnostic informatics Cardiology Informatics Enterprise Imaging PACS Radiology Informatics Oncology Informatics Advanced Visualization Emergency Care & Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Devices Image Guided Therapy Systems Mother & Child Care MRI Systems & Solutions Oncology Pathology Patient monitoring Radiation Oncology Radiography | X-ray & Fluoroscopy Solutions Refurbished Systems Sleep and Respiratory Care Ultrasound Value Products Ventilation Show all Services Products & Services Services Healthcare consulting Implementation services Maintenance services Optimization services Planning services Upgrading services Solutions Products & Services Solutions Alarm management Ambient Experience Dosewise Early Warning Scoring (EWS) Integrated Cardiovascular Solutions Managed Technology Services Patient reported outcomes PerformanceBridge Enterprise telehealth Specialties Back Specialties Clinical specialties Specialties Clinical specialties Cardiology Critical care General care Home respiratory care Mother and child care Oncology Radiology Sleep apnea care Business and government Specialties Business and government Emergency Response Workplace and community AED Non-clinical specialties Specialties Non-clinical specialties Healthcare management IT Management Covid-19 Response Innovation Back Innovation Our innovation story Research & Exploration HealthSuite Digital Platform Thought Leadership Philips Ventures About Back About About us Careers Contact Customer experience center Events calendar Investor relations News Partnerships Press Contact & Support Back Contact & Support Contact us Customer Support Education and training Contact & Support Education and training Browse full catalog Education by clinical application Education by professional role Documents and resources Contact & Support Documents and resources Instructions for use Product documentation Distributors Self-service support portals Contact & Support Self-service support portals My Philips for Professionals Customer Services Portal Security and standards Contact & Support Security and standards IT standards Product security Compliance programs Online sales Contact & Support Online sales Hospital supplies and equipment Sleep and respiratory products Publications Contact & Support Publications Field Strength Surgery Pulse Covid-19 Response EN AR EN AR ​foundation-generic.search Search terms Product Catalog Diagnostic informatics Advanced Visualization IntelliSpace Portal IntelliSpace Discovery IntelliSpace Discovery IntelliSpace Discovery End-to-end AI solution for medical research Find similar products Philips IntelliSpace Discovery* is an integrated AI solution that enables the entire process of generating new AI applications, providing data integration, training and deployment in the research setting. 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IntelliSpace Discovery End-to-end AI solution for medical research
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Cloud Telecommunication AI Market to Discern Steadfast Expansion During 2019-2025 – Mathematics Market Methods
Cloud Telecommunication AI Market to Discern Steadfast Expansion During 2019-2025 – Mathematics Market Methods Skip to content Thursday, February 27, 2020 Home About Us Disclaimer Our Staff Privacy Policy Contact Us Mathematics Market Methods Research On Market with Mathematics Methods Home Emerging News Industry Reports Market Analytics Market Report Mathematics Researches Science Updates News You are hereHomeEmerging NewsCloud Telecommunication AI Market to Discern Steadfast Expansion During 2019-2025 Cloud Telecommunication AI Market to Discern Steadfast Expansion During 2019-2025 February 27, 2020 [email protected] China Cloud Telecommunication AI Market Trend, Europe Cloud Telecommunication AI Market Growth, UK Cloud Telecommunication AI Market, US Cloud Telecommunication AI Market CAGR The ‘Cloud Telecommunication AI Market’ research report added by Market Study Report, LLC, provides a succinct analysis on the recent market trends. In addition, the report offers a thorough abstract on the statistics, market estimates and revenue forecasts, which further highlights its position in the industry, in tandem with the growth strategies adopted by leading industry players. The Cloud Telecommunication AI market study is a well-researched report encompassing a detailed analysis of this industry with respect to certain parameters such as the product capacity as well as the overall market remuneration. The report enumerates details about production and consumption patterns in the business as well, in addition to the current scenario of the Cloud Telecommunication AI market and the trends that will prevail in this industry. Request Sample Report @ https://www.researchmoz.us/enquiry.php?type=S&repid=2161344&source=atm What pointers are covered in the Cloud Telecommunication AI market research study? The Cloud Telecommunication AI market report – Elucidated with regards to the regional landscape of the industry: The geographical reach of the Cloud Telecommunication AI market has been meticulously segmented into United States, China, Europe, Japan, Southeast Asia & India, according to the report. The research enumerates the consumption market share of every region in minute detail, in conjunction with the production market share and revenue. Also, the report is inclusive of the growth rate that each region is projected to register over the estimated period. The Cloud Telecommunication AI market report – Elucidated with regards to the competitive landscape of the industry: The competitive expanse of this business has been flawlessly categorized into companies such as The following manufacturers are covered: Bosch Valeo Mahle Brose Johnson Electric Nidec Mabuchi Asmo Mitsuba Broad Ocean Denso Segment by Regions North America Europe China Japan Segment by Type AC Motors DC Motors Segment by Application Passenger Vehicle Light Commercial Vehicle Heavy Commercial Vehicle Make An Enquiry About This Report @ https://www.researchmoz.us/enquiry.php?type=E&repid=2161344&source=atm  Exclusive details pertaining to the contribution that every firm has made to the industry have been outlined in the study. Not to mention, a brief gist of the company description has been provided as well. Substantial information subject to the production patterns of each firm and the area that is catered to, has been elucidated. The valuation that each company holds, in tandem with the description as well as substantial specifications of the manufactured products have been enumerated in the study as well. The Cloud Telecommunication AI market research study conscientiously mentions a separate section that enumerates details with regards to major parameters like the price fads of key raw material and industrial chain analysis, not to mention, details about the suppliers of the raw material. That said, it is pivotal to mention that the Cloud Telecommunication AI market report also expounds an analysis of the industry distribution chain, further advancing on aspects such as important distributors and the customer pool. The ‘Cloud Telecommunication AI market’ report enumerates information about the industry in terms of market share, market size, revenue forecasts, and regional outlook. The report further illustrates competitive insights of key players in the business vertical followed by an overview of their diverse portfolios and growth strategies. You can Buy This Report from Here @ https://www.researchmoz.com/checkout?rep_id=2161344&licType=S&source=atm  Some of the Major Highlights of TOC covers: Development Trend of Analysis of Cloud Telecommunication AI Market Global Cloud Telecommunication AI Market Trend Analysis Global Cloud Telecommunication AI Market Size (Volume and Value) Forecast 2019-2025 Marketing Channel Direct Marketing Indirect Marketing Cloud Telecommunication AI Customers Market Dynamics Market Trends Opportunities Market Drivers Challenges Influence Factors Methodology/Research Approach Research Programs/Design Market Size Estimation Market Breakdown and Data Triangulation Data Source Post navigation Magnetic Starters Market Regional Data Analysis 2019-2030Craniomaxillofacial Plate and Installation Tools Market Emerging Niche Segments and Regional Markets 2018 to 2026 Related posts Ayurvedic Products Market 2019: Global Industry Insights by Global Players, Regional Segmentation, Growth, Applications, Major Drivers, Value and Forecasts till 2025 February 27, 2020 [email protected]Ayurvedic Products, Ayurvedic Products Industry, Ayurvedic Products Market, Ayurvedic Products Market Intelligence, China Ayurvedic Products Market Trend, Europe Ayurvedic Products Market Growth Global Ayurvedic Products Market is valued at USD XX million in 2019 and is projected to... Air Source Heat Pump Market Trends and Segments 2019-2025 February 27, 2020 [email protected]China Air Source Heat Pump Market Trend, Europe Air Source Heat Pump Market Growth, UK Air Source Heat Pump Market, US Air Source Heat Pump Market CAGR In this report, the global Air Source Heat Pump market is valued at USD XX million... Portable Inverter Generator Market Risk Analysis by 2017 to 2026 February 27, 2020 [email protected]China Portable Inverter Generator Market Trend, Europe Portable Inverter Generator Market Growth, UK Portable Inverter Generator Market, US Portable Inverter Generator Market CAGR As per a report Market-research, the Portable Inverter Generator economy is likely to see a CAGR... Recent Posts Auto Draft Mobile Column Vehicle Lift Market 2019 Industry Trends – Stertil Group, EAE Automotive Equipment Co.，Ltd Global Extreme Sports Travel Insurance Market to Record Significant Revenue Growth During the Forecast Period 2020–2025 |Allianz, AIG, Munich RE, Generali, etc Air Source Heat Pump Market Trends and Segments 2019-2025 Ayurvedic Products Market 2019: Global Industry Insights by Global Players, Regional Segmentation, Growth, Applications, Major Drivers, Value and Forecasts till 2025 © All Right Reserved Proudly powered by WordPress | Theme: SuperNews by Acme Themes
Cloud Telecommunication AI Market to Discern Steadfast Expansion During 2019-2025
Cloud Telecommunication AI Market Discern Steadfast Expansion During 20192025 Mathematics Market Methods Skip content Thursday, February 27, 2020 Home Disclaimer Our Staff Us Mathematics Market Methods Research On Market Mathematics Methods Home Emerging News Industry Reports Market Analytics Market Report Mathematics Researches Science Updates News You hereHomeEmerging NewsCloud Telecommunication AI Market Discern Steadfast Expansion During 20192025 Cloud Telecommunication AI Market Discern Steadfast Expansion During 20192025 February 27, 2020 [emailprotected] China Cloud Telecommunication AI Market Trend, Europe Cloud Telecommunication AI Market Growth, UK Cloud Telecommunication AI Market, US Cloud Telecommunication AI Market CAGR The Cloud Telecommunication AI Market research report added Market Study Report, LLC, provides succinct analysis recent market trends. In addition, report offers thorough abstract statistics, market estimates revenue forecasts, highlights position industry, tandem growth strategies adopted leading industry players. The Cloud Telecommunication AI market study wellresearched report encompassing detailed analysis industry respect certain parameters product capacity overall market remuneration. The report enumerates details production consumption patterns business well, addition current scenario Cloud Telecommunication AI market trends prevail industry. Request Sample Report @ What pointers covered Cloud Telecommunication AI market research study? The Cloud Telecommunication AI market report Elucidated regards regional landscape industry: The geographical reach Cloud Telecommunication AI market meticulously segmented United States, China, Europe, Japan, Southeast Asia India, according report. The research enumerates consumption market share region minute detail, conjunction production market share revenue. Also, report inclusive growth rate region projected register estimated period. The Cloud Telecommunication AI market report Elucidated regards competitive landscape industry: The competitive expanse business flawlessly categorized companies The following manufacturers covered: Bosch Valeo Mahle Brose Johnson Electric Nidec Mabuchi Asmo Mitsuba Broad Ocean Denso Segment Regions North America Europe China Japan Segment Type AC Motors DC Motors Segment Application Passenger Vehicle Light Commercial Vehicle Heavy Commercial Vehicle Make An EnquiryAbout This Report @ Exclusive details pertaining contribution firm industry outlined study. Not mention, brief gist company description provided well. Substantial information subject production patterns firm area catered to, elucidated. The valuation company holds, tandem description substantial specifications manufactured products enumerated study well. 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You Buy This Report Here @ Some Major Highlights TOC covers: Development Trend Analysis Cloud Telecommunication AI Market Global Cloud Telecommunication AI Market Trend Analysis Global Cloud Telecommunication AI Market Size Volume Value Forecast 20192025 Marketing Channel Direct Marketing Indirect Marketing Cloud Telecommunication AI Customers Market Dynamics Market Trends Opportunities Market Drivers Challenges Influence Factors MethodologyResearch Approach Research ProgramsDesign Market Size Estimation Market Breakdown Data Triangulation Data Source Post navigation Magnetic Starters Market Regional Data Analysis 20192030Craniomaxillofacial Plate Installation Tools Market Emerging Niche Segments Regional Markets 2018 2026 Related posts Ayurvedic Products Market 2019: Global Industry Insights Global Players, Regional Segmentation, Growth, Applications, Major Drivers, Value Forecasts till 2025 February 27, 2020 [emailprotected]Ayurvedic Products, Ayurvedic Products Industry, Ayurvedic Products Market, Ayurvedic Products Market Intelligence, China Ayurvedic Products Market Trend, Europe Ayurvedic Products Market Growth Global Ayurvedic Products Market valued USD XX million 2019 projected to... Air Source Heat Pump Market Trends Segments 20192025 February 27, 2020 [emailprotected]China Air Source Heat Pump Market Trend, Europe Air Source Heat Pump Market Growth, UK Air Source Heat Pump Market, US Air Source Heat Pump Market CAGR In report, global Air Source Heat Pump market valued USD XX million... Portable Inverter Generator Market Risk Analysis 2017 2026 February 27, 2020 [emailprotected]China Portable Inverter Generator Market Trend, Europe Portable Inverter Generator Market Growth, UK Portable Inverter Generator Market, US Portable Inverter Generator Market CAGR As report Marketresearch, Portable Inverter Generator economy likely CAGR... Recent Posts Auto Draft Mobile Column Vehicle Lift Market 2019 Industry Trends Stertil Group, EAE Automotive Equipment Co.Ltd Global Extreme Sports Travel Insurance Market Record Significant Revenue Growth During Forecast Period 20202025 Allianz, AIG, Munich RE, Generali, Air Source Heat Pump Market Trends Segments 20192025 Ayurvedic Products Market 2019: Global Industry Insights Global Players, Regional Segmentation, Growth, Applications, Major Drivers, Value Forecasts till 2025 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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https://www.forbes.com/sites/forbestechcouncil/2020/10/19/a-major-milestone-in-ai-technology-illustrates-the-power-of-human-intelligence/
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Council Post: A Major Milestone In AI Technology Illustrates The Power Of Human Intelligence
Council Post: A Major Milestone In AI Technology Illustrates The Power Of Human IntelligenceExploreBillionairesAll BillionairesWorld's Billionaires Forbes 400 America's Richest Self-Made Women China's Richest India's Richest Indonesia's Richest Korea's Richest Thailand's Richest Japan's Richest Australia's Richest Taiwan's Richest Singapore's Richest Philippines' Richest Hong Kong's Richest Malaysia's Richest Money & Politics 2020 Money InnovationAll Innovation5G AI Amazon Web Services BrandVoice | Paid Program AWS Infrastructure Solutions BrandVoice | Paid Program Big Data Cloud Cloud 100 Consumer Tech Cybersecurity Enterprise Tech Games Green Tech Healthcare Japan BrandVoice | Paid Program Jumio BrandVoice | Paid Program SAP BrandVoice | Paid Program Science ServiceNow BrandVoice | Paid Program Social Media Tableau BrandVoice | Paid Program T-Mobile For Business BrandVoice | Paid Program Venture Capital LeadershipAll LeadershipCareers CEO Network CFO Network CIO Network CMO Network Crowe BrandVoice | Paid Program Deloitte BrandVoice | Paid Program Diversity & Inclusion Education Forbes The Culture ForbesWomen Google Cloud BrandVoice | Paid Program Leadership Strategy Under 30 Working Remote MoneyAll MoneyBanking & Insurance Crypto & Blockchain ETFs & Mutual Funds Fintech Hedge Funds & Private Equity Investing Markets New York Life Investments BrandVoice | Paid Program Personal Finance Premium Investing Newsletters Retirement Taxes Tax-Smart Investing Top Advisor | SHOOK Wealth Management Election 2020 BusinessAll BusinessAerospace & Defense Energy Food & Drink Hollywood & Entertainment Honeywell BrandVoice | Paid Program Manufacturing Media Mitsubishi Heavy Industries BrandVoice | Paid Program Policy Real Estate Retail SportsMoney Transportation Small BusinessAll Small BusinessBusiness As (Un)usual Entrepreneurs Franchises Small Business Strategy Square BrandVoice | Paid Program LifestyleAll LifestyleArts Boats & Planes Cars & Bikes Dining ForbesLife Forbes Travel Guide Spirits Style & Beauty Travel Vices Watches ShoppingAll ShoppingForbes Coupons AdvisorAll AdvisorThe Best Credit Cards Of 2020 Best Balance Transfer Credit Cards Best Cash Back Credit Cards Best 0% APR Credit Cards Best Travel Credit Cards Best Rewards Credit Cards Best Business Credit Cards Browse All Credit Cards Best Travel Insurance Companies Best Life Insurance Companies Best Car Insurance Companies Whole Life Insurance Best Personal Loans Best Student Loans Best Student Loan Refinance Student Loan Refinance Calculator Auto Loan Calculator Best Savings Accounts Best Money Market Accounts Best Checking Accounts Best CD Rates Best Online Banks Best ID Theft Protection Companies Second Stimulus Check Calculator WheelsAll WheelsListsAll ListsVideoAll VideoNewslettersDaily Dozen Briefing Crypto Confidential Editorial Newsletters Investing Digest Premium Investing Newsletters Forbes MagazineAll Forbes MagazineForbes Asia Free Issue of Forbes LatestCoronavirus Coverage Daily Cover Stories Dark Capital Editors' Picks Election 2020 Visual Web Stories Featured30 Under 30 2020 30 Under 30: A Decade Of Disruption AARP BrandVoice | Paid Program All Hands On Data - A Tableau Series | Paid Program Antidote For Uncertainty DNA Of Success DocuSign With Forbes Insights | Paid Program EY & Citi On The Importance Of Resilience And Innovation | Paid Program Impact 50: Investors Seeking Profit — And Pushing For Change Forbes AgTech+ Under 30 Hackathon Forbes Analytics Plus With Teradata | Paid Program Nuveen With Forbes Insights | Paid Program Office Depot OfficeMax BrandVoice | Paid Program Paste by WeTransfer BrandVoice | Paid Program ServiceNow Brandvoice | Paid Program St. Jude BrandVoice | Paid Program Square BrandVoice | Paid Program The World's Most Influential CMOs Voices Of Success Advertise with ForbesAll Advertise with ForbesReport a Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedCreate Account | Sign InBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story|Oct 19, 2020,09:40am EDTA Major Milestone In AI Technology Illustrates The Power Of Human IntelligenceSinan OzdemirForbes Councils MemberForbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author.| Paid ProgramInnovationShare to FacebookShare to TwitterShare to LinkedinDirector of Data Science at Directly. Former Founder of Kylie.ai (acquired). Author of Data Science textbooks. Lecturer at Johns Hopkins. getty The New York Times reported that an AI system known as Aristo had become the first to successfully pass a standardized eighth-grade science test. The achievement arrived four years after a competition in which 700-plus scientists all failed to build a system capable of accomplishing the same task despite the incentive of the contest's $80,000 prize. Aristo has been viewed as a significant breakthrough in the evolution of AI technology, with far-reaching implications for natural language processing, business intelligence and more. The system provides a vivid illustration of the differences between human and artificial intelligence. It shows why the most effective AI systems still incorporate help from human experts — a fact that has big implications for AI in business and other applications. A common-sense approach to artificial intelligence. The Aristo system represents a major step toward imbuing AI with what one Wired article refers to as "common sense," the expansive and unconscious background knowledge that we apply when navigating new situations or engaging in conversation. AI development has previously relied on a statistical, data-driven approach that enables AI to understand the world via the analysis of massive datasets. However, this approach has failed to give AI the broad, flexible reasoning capabilities that allow humans to handle unanticipated or open-ended questions. To replicate that ability, researchers have trained systems to perform well on various benchmark tasks — e.g., answering multiple-choice questions on a standardized science exam. Let's take the following example: "Which object in our solar system reflects light and is a satellite that orbits around one planet? (A) Moon (B) Earth (C) Mercury (D) Sun." To answer this question, Aristo uses a language model that, after being trained on millions of pages of English-language text, can guess the next word in a sequence. In an exam context, these pages of text act as a kind of common sense that allows the model to determine which of the four multiple-choice answers has the highest probability of being correct. The process is a facsimile of human intelligence but does not represent true reasoning. A human being could use common sense to reason their way through direct answer questions or questions based on diagrams; the model could not draw on its common sense to do the same. Understanding the differences between human and machine. Artificial intelligence is the embodiment of humanity's efforts to recreate the vast capabilities of the human mind. It makes sense that we draw comparisons between digital computers and the brain. Both represent complex systems with enormous problem-solving capabilities, and the two also share broadly similar architectures, with dedicated circuits for the input, processing, storage and output of information. There are also countless differences between modern computers and the human brain. Computers, for example, are able to perform their most basic operations much faster than the human brain and with much greater precision. The brain, however, is more energy-efficient than any computer and more densely networked. This latter point may seem counterintuitive: The largest chip ever made (as of late 2019) contains 1.2 trillion transistors, while the human brain comprises about 86 billion neurons. However, a transistor comprises only three nodes for input and output, while each of our neurons receives input from and sends output to roughly 1,000 other neurons. Greater density enables us to easily perform tasks that even the most advanced AI systems have yet to master. Massive parallelism in the brain gives humanity a key advantage. To illustrate the difference further, an article published by Nautilus uses the example of a tennis player. Even a mediocre tennis player is capable of returning a serve at least once during a match. However, this simple act is actually the result of numerous complex calculations performed with remarkable speed and precision. The player's brain must watch the course of the ball in motion, anticipate where it will go, guide the body to the correct position and move the player's arm to swing the racquet — ideally while aiming the return serve — all at once. There are AI systems capable of performing each of these individual actions, but none that can manage all of them simultaneously. That's because all computers process information sequentially — meaning that a CPU can only process one instruction or bit of information at a time. By contrast, the human brain leverages its dense network of neurons and synapses to engage in what is known as "massive parallelism," a form of processing that enables it to execute multiple related functions concurrently. Recreating this complexity in a computer would require thousands of CPUs operating in parallel and consuming enormous amounts of energy. For humans, all we need is a brain and a sensible breakfast. Is your AI smarter than an eighth grader? The same principle holds true for students taking a standardized test. They may not need to demonstrate the level of physical coordination that a tennis player does, but that doesn't mean their brains aren't engaging in massive parallel processing. When taking a test, we may be laser-focused on the task at hand, consciously working through problems. However, our unconscious minds are also at work, cueing up relevant memories, drawing connections between concepts and anticipating whatever comes next. This has important ramifications for the relationship between humans and AI in the business world. Computers will always be superior when it comes to searching through millions of lines of text or calculating probabilities based on vast datasets. However, for now, only humans can engage in the sort of parallel thinking that enables us to process and synthesize multiple streams of information, and only humans can exhibit qualities like intuition, empathy and creativity. This means that the most effective AI solutions are those that bring human and artificial intelligence together, leveraging the analytical power of AI while also tapping human common sense and expertise in complex situations. When evaluating AI solutions, it's important to look for those that incorporate human supervision. Otherwise, you might be entrusting an important task to a system that's hardly smarter than an eighth grader. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify? Follow me on Twitter or LinkedIn. Check out my website. Sinan OzdemirDirector of Data Science at Directly. Former Founder of Kylie.ai (acquired). Author of Data Science textbooks. Lecturer at Johns Hopkins. Read Sinan Ozdemir's full… Read MoreDirector of Data Science at Directly. Former Founder of Kylie.ai (acquired). Author of Data Science textbooks. Lecturer at Johns Hopkins. Read Sinan Ozdemir's full executive profile here. Read LessPrintReprints & Permissions
Council Post: A Major Milestone In AI Technology Illustrates The Power Of Human Intelligence
Council Post: A Major Milestone In AI Technology Illustrates The Power Of Human IntelligenceExploreBillionairesAll BillionairesWorlds Billionaires Forbes 400 Americas Richest SelfMade Women Chinas Richest Indias Richest Indonesias Richest Koreas Richest Thailands Richest Japans Richest Australias Richest Taiwans Richest Singapores Richest Philippines Richest Hong Kongs Richest Malaysias Richest Money Politics 2020 Money InnovationAll Innovation5G AI Amazon Web Services BrandVoice Paid Program AWS Infrastructure Solutions BrandVoice Paid Program Big Data Cloud Cloud 100 Consumer Tech Cybersecurity Enterprise Tech Games Green Tech Healthcare Japan BrandVoice Paid Program Jumio BrandVoice Paid Program SAP BrandVoice Paid Program Science ServiceNow BrandVoice Paid Program Social Media Tableau BrandVoice Paid Program TMobile For Business BrandVoice Paid Program Venture Capital LeadershipAll LeadershipCareers CEO Network CFO Network CIO Network CMO Network Crowe BrandVoice Paid Program Deloitte BrandVoice Paid Program Diversity lusion Education Forbes The Culture ForbesWomen Google Cloud BrandVoice Paid Program Leadership Strategy Under 30 Working Remote MoneyAll MoneyBanking Insurance Crypto Blockchain ETFs Mutual Funds Fintech Hedge Funds Private Equity Investing Markets New York Life Investments BrandVoice Paid Program Personal Finance Premium Investing Newsletters Retirement Taxes TaxSmart Investing Top Advisor SHOOK Wealth Management Election 2020 BusinessAll BusinessAerospace Defense Energy Food Drink Hollywood Entertainment Honeywell BrandVoice Paid Program Manufacturing Media Mitsubishi Heavy Industries BrandVoice Paid Program Policy Real Estate Retail SportsMoney Transportation Small BusinessAll Small BusinessBusiness As Unusual Entrepreneurs Franchises Small Business Strategy Square BrandVoice Paid Program LifestyleAll LifestyleArts Boats Planes Cars Bikes Dining ForbesLife Forbes Travel Guide Spirits Style Beauty Travel Vices Watches ShoppingAll ShoppingForbes Coupons AdvisorAll AdvisorThe Best Credit Cards Of 2020 Best Balance Transfer Credit Cards Best Cash Back Credit Cards Best 0 APR Credit Cards Best Travel Credit Cards Best Rewards Credit Cards Best Business Credit Cards Browse All Credit Cards Best Travel Insurance Companies Best Life Insurance Companies Best Car Insurance Companies Whole Life Insurance Best Personal Loans Best Student Loans Best Student Loan Refinance Student Loan Refinance Calculator Auto Loan Calculator Best Savings Accounts Best Money Market Accounts Best Checking Accounts Best CD Rates Best Online Banks Best ID Theft Protection Companies Second Stimulus Check Calculator WheelsAll WheelsListsAll ListsVideoAll VideoNewslettersDaily Dozen Briefing Crypto Confidential Editorial Newsletters Investing Digest Premium Investing Newsletters Forbes MagazineAll Forbes MagazineForbes Asia Free Issue Forbes LatestCoronavirus Coverage Daily Cover Stories Dark Capital Editors Picks Election 2020 Visual Web Stories Featured30 Under 30 2020 30 Under 30: A Decade Of Disruption AARP BrandVoice Paid Program All Hands On Data A Tableau Series Paid Program Antidote For Uncertainty DNA Of Success DocuSign With Forbes Insights Paid Program EY Citi On The Importance Of Resilience And Innovation Paid Program Impact 50: Investors Seeking Profit And Pushing For Change Forbes AgTech Under 30 Hackathon Forbes Analytics Plus With Teradata Paid Program Nuveen With Forbes Insights Paid Program Office Depot OfficeMax BrandVoice Paid Program Paste WeTransfer BrandVoice Paid Program ServiceNow Brandvoice Paid Program St. Jude BrandVoice Paid Program Square BrandVoice Paid Program The Worlds Most Influential CMOs Voices Of Success Advertise ForbesAll Advertise ForbesReport Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. Create Account BETAThis BETA experience. You optout byclicking hereEdit StoryOct 19, 2020,09:40am EDTA Major Milestone In AI Technology Illustrates The Power Of Human IntelligenceSinan OzdemirForbes Councils MemberForbes Technology CouncilCOUNCIL POSTExpertise Forbes Councils members, operated license. Opinions expressed author. Paid ProgramInnovationShare FacebookShare TwitterShare LinkedinDirector Data Science atDirectly. Former Founder Kylie.ai acquired. Author Data Science textbooks. Lecturer Johns Hopkins. getty The New York Times reported AI known Aristo successfully pass standardized eighthgrade science test. The achievement arrived years competition 700plus scientists failed build capable accomplishing task despite incentive contests 80,000 prize. Aristo viewed significant breakthrough evolution AI technology, farreaching implications natural language processing, business intelligence more. The provides vivid illustration differences human artificial intelligence. It shows effective AI systems incorporate help human experts fact big implications AI business applications. A commonsense approach artificial intelligence. The Aristo represents major step imbuing AI Wired article refers common sense, expansive unconscious background knowledge apply navigating new situations engaging conversation. AI development previously relied statistical, datadriven approach enables AI understand world analysis massive datasets. However, approach failed AI broad, flexible reasoning capabilities allow humans handle unanticipated openended questions. To replicate ability, researchers trained systems perform benchmark tasks e.g., answering multiplechoice questions standardized science exam. Lets following example: Which object solar reflects light satellite orbits planet? A Moon B Earth C Mercury D Sun. To answer question, Aristo uses language model that, trained millions Englishlanguage text, guess word sequence. In exam context, text act kind common sense allows model determine multiplechoice answers highest probability correct. The process facsimile human intelligence represent true reasoning. A human use common sense reason way direct answer questions questions based diagrams; model draw common sense same. Understanding differences human machine. Artificial intelligence embodiment humanitys efforts recreate vast capabilities human mind. It makes sense draw comparisons digital computers brain. Both represent complex systems enormous problemsolving capabilities, share broadly similar architectures, dedicated circuits input, processing, storage output information. There countless differences modern computers human brain. Computers, example, able perform basic operations faster human brain greater precision. The brain, however, energyefficient densely networked. This point counterintuitive: The largest chip late 2019 contains 1.2 trillion transistors, human brain comprises 86 billion neurons. However, transistor comprises nodes input output, neurons receives input sends output roughly 1,000 neurons. Greater density enables easily perform tasks advanced AI systems master. Massive parallelism brain gives humanity key advantage. To illustrate difference further, article published Nautilus uses example tennis player. Even mediocre tennis player capable returning serve match. However, simple act actually result numerous complex calculations performed remarkable speed precision. The players brain watch course ball motion, anticipate go, guide body correct position players arm swing racquet ideally aiming return serve once. There AI systems capable performing individual actions, manage simultaneously. Thats computers process information sequentially meaning CPU process instruction bit information time. By contrast, human brain leverages dense network neurons synapses engage known massive parallelism, form processing enables execute multiple related functions concurrently. Recreating complexity require thousands CPUs operating parallel consuming enormous amounts energy. For humans, need brain sensible breakfast. Is AI smarter eighth grader? The principle holds true students taking standardized test. They need demonstrate level physical coordination tennis player does, doesnt mean brains arent engaging massive parallel processing. When taking test, laserfocused task hand, consciously working problems. However, unconscious minds work, cueing relevant memories, drawing connections concepts anticipating comes next. This important ramifications relationship humans AI business world. Computers superior comes searching millions lines text calculating probabilities based vast datasets. However, now, humans engage sort parallel thinking enables process synthesize multiple streams information, humans exhibit qualities like intuition, empathy creativity. This means effective AI solutions bring human artificial intelligence together, leveraging analytical power AI tapping human common sense expertise complex situations. When evaluating AI solutions, important look incorporate human supervision. Otherwise, entrusting important task thats hardly smarter eighth grader. Forbes Technology Council invitationonly community worldclass CIOs, CTOs technology executives. Do I qualify? Follow onTwitterorLinkedIn.Check outmywebsite.Sinan OzdemirDirector Data Science Directly. Former Founder Kylie.ai acquired. Author Data Science textbooks. Lecturer Johns Hopkins. Read Sinan Ozdemirs fullRead MoreDirector Data Science Directly. Former Founder Kylie.ai acquired. Author Data Science textbooks. Lecturer Johns Hopkins. Read Sinan Ozdemirs executive profile here.Read LessPrintReprints Permissions
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https://www.itproportal.com/features/what-is-human-centred-ai-and-how-can-it-impact-business-performance/
2020-03-23T00:00:00
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What is human centred AI and how can it impact business performance? | ITProPortal
What is human centred AI and how can it impact business performance? | ITProPortal Skip to main content ITProPortal Search RSS News Best VPN Best Antivirus Guides Reviews Features Categories Business Hardware Security Software Mobile Enterprise Cloud Networks Public Sector Startups Web ITProPortal is supported by its audience. When you purchase through links on our site, we may earn an affiliate commission. Learn more Home Features What is human centred AI and how can it impact business performance? By Ken Miller 06 March 2020 There's still a lack of trust with AI - that must change. Shares (Image credit: Image source: Shutterstock/PHOTOCREO Michal Bednarek) Artificial Intelligence (AI) and Machine Learning (ML) aren’t new, in fact mechanical automation has been around for decades – so why is there still an incredibly slow adoption rate across modern-day workforces?Although it might not have been called AI or ML until recent times, the world has been surrounded by examples of this technology – from having an x-ray to taking out a mortgage. Its primary purpose is to exist to try and make things simpler, quicker and easier for people.And yet, despite being present for nearly a century, the concerns that machines are ‘going to take over the world’ – or that they’re untrustworthy and will take everyone’s jobs – remains the same today.For years, businesses have been trying to outdo one another with revolutionary promises and yet there’s still a lack of understanding of what AI and ML represents and how it can – and can’t – drive an organisation forward.That’s because there’s still a lack of trust – and it’s become apparent that many people are still reluctant to hand over the reins to a machine when confidence is low. It’s something that isn’t new for those who occupy the world of business intelligence because the industry knows how AI promises everything but doesn’t always deliver. Uncertainty has ensued because automation hasn’t quite solved initial problems, but at the same time no-one is being ‘automated out of a job’ either.A great example to truly highlight how this translates into business performance is by looking at online delivery brand, Amazon. This is an organisation that deploys hundreds of robots which have been simplistically coded to collect products off the shelf and not bump into one another – which is the AI part.And the same concept can be applied in business. For example, if a person has applied for a bank loan within the last 20-25 years, it’s unlikely they will have had their initial query dealt with by a human. It will have been digested by a machine – an algorithm – that categorises individuals alongside others who have similar attributes.AI isn’t ‘magical’ – but it can collate large volumes of data by the second, which is an obvious advantage for the fast-paced and heavily evolving economic climate.So, it does pose the question of ‘exactly how does human centred AI truly impact business performance?’How AI and ML are transforming digital marketing togetherEnhanced business performance using AI begins with trustFor larger scale AI adoption, organisations must think outside the box – and perhaps onto the tennis court. Yes, this maybe a strange path to take, but the sport’s ‘Hawk-Eye’ technology system could provide some food for thought when analysing AI’s success through a transparent lens.Looking back to the days when John McEnroe would infamously contest huge calls with showmanship and bravado, Hawk-Eye today often limits those moments – instead shutting down any questionable decision with critical evidence to back up the umpire’s call.And the reason why many players and the crowd accept those crucial outcomes is because tennis hasn’t ‘black boxed’ its automation. Instead, every single person watching can see exactly how the decision has been made by the machine, which introduces a greater level of fairness and trust that wasn’t there before.Line judges provide the human element, but it’s the machine that augments their decisions. Now because it’s done so well, it’s become a part of the game – alongside other sports.However, where mechanical AI hasn’t fared as strongly is the example of VAR recently introduced into the English Premiership. If anything, it’s riled footballing crowds up even more to voice their displeasure, all because the machine’s decisions aren’t being shared with them. What it has determined is a lack of trust from supporters and onlookers because they haven’t played any part in the final decision.AI, digital skills and data growth dominate the analytics agenda in 2020Openness and transparency are key in customer adoption of AIFor human centred AI to have a true impact on an enterprise’s bottom line and adoption level, there must be observation points included – something which business intelligence is built upon. Having machinery that allows customers to understand and see how decisions are being made can instil a vast amount of trust and willingness to have confidence in the detail it forecasts.There isn’t a crystal ball when it comes to knowing exactly how the business landscape is going to evolve day-to-day but having smart platforms that can consume key trends and marketplace developments can help to balance business risk – and determine decisions more swiftly.And when wrong conclusions are met, that’s where humans – or rather the ‘observers’ – come in to tweak and adjust the model so that the path is corrected, and danger is subsequently averted.Think of Tesla and how its self-drive capabilities are truly innovative. But, it can still get things wrong – and if the driver isn’t prepared for that, the results could be catastrophic. However, where this manufacturer prevails is by utilising a smart screen which shows how it’s making decisions. As a result, the person behind the wheel understands when to trust the vehicle to take control, and when they need to intervene.Again, the same can be said for organisations and their employees who become the ‘observers’. To begin to achieve success, the team needs the desired information from AI, in order to elevate their jobs, watch the machine in action and work side-by-side – all of which comes via business intelligence.Examining real-time activity, enterprises are in fact creating ‘cockpits’ where humans can step in where needed and trust the machine to effectively understand the detail and make commercially savvy decisions – all of which the customer sees too.Everybody has a part to play in ensuring what technology works best for their business – and automation should ultimately be embraced rather than feared. However, for there to a positive impact made on business performance, firms must firstly get their business intelligence right and continuously study its ML as a pre-requisite.Simplify the tools, demystify the black box and provide smart intelligence that isn’t magical, but can instil trust, transparency and longevity for organisations.The seven dimensions of AIKen Miller, co-founder and CTO, Panintelligence Topics artificial intelligence human business performance Get Weekly News and Analysis Sign up below to get the latest from ITProPortal, plus exclusive special offers, direct to your inbox! No spam, we promise. You can unsubscribe at any time and we'll never share your details without your permission. Most Read Most Shared 1How to insert a tick or a cross symbol in Microsoft Word and Excel 2How to turn off "OK Google" Android voice search 3How to set a background picture on your Android or iOS smartphone 4How to start page numbering from a specific page in Microsoft Word 5A step-by-step guide to setting up a home network 1IT bosses ‘kept awake at night’ by cybersecurity worries 2Friends don’t let friends accidentally drop zero-days on the projects they love 3Internet of Things – opportunity or risk? 4The seven dimensions of AI 5Building a workforce for the future: four steps to digitally up-skill employees ITProPortal is part of Future plc, an international media group and leading digital publisher. Visit our corporate site. About us Terms and conditions Privacy policy Cookies policy Advertise with us © Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. All rights reserved. England and Wales company registration number 2008885.
What is human centred AI and how can it impact business performance?
What human centred AI impact business performance? ITProPortal Skip main content ITProPortal RSS News Best VPN Best Antivirus Guides Reviews Features Categories Business Hardware Security Software Mobile Enterprise Cloud Networks Public Sector Startups Web ITProPortal supported audience. When purchase links site, earn affiliate commission. Learn Home Features What human centred AI impact business performance? By Ken Miller 06 March 2020 Theres lack trust AI change. Shares Image credit: Image source: ShutterstockPHOTOCREO Michal Bednarek Artificial Intelligence AI Machine Learning ML arent new, fact mechanical automation decades incredibly slow adoption rate modernday workforces?Although called AI ML recent times, world surrounded examples technology xray taking mortgage. Its primary purpose exist try things simpler, quicker easier people.And yet, despite present nearly century, concerns machines going world theyre untrustworthy everyones jobs remains today.For years, businesses trying outdo revolutionary promises theres lack understanding AI ML represents drive organisation forward.Thats theres lack trust apparent people reluctant hand reins machine confidence low. Its isnt new occupy world business intelligence industry knows AI promises doesnt deliver. Uncertainty ensued automation solved initial problems, time automated job either.A great example truly highlight translates business performance looking online delivery brand, Amazon. This organisation deploys hundreds robots simplistically coded collect products shelf bump AI part.And concept applied business. For example, person applied bank loan 2025 years, unlikely initial query dealt human. It digested machine algorithm categorises individuals alongside similar attributes.AI isnt magical collate large volumes data second, obvious advantage fastpaced heavily evolving economic climate.So, pose question exactly human centred AI truly impact business performance?How AI ML transforming digital marketing togetherEnhanced business performance AI begins trustFor larger scale AI adoption, organisations think outside box tennis court. Yes, maybe strange path take, sports HawkEye technology provide food thought analysing AIs success transparent lens.Looking days John McEnroe infamously contest huge calls showmanship bravado, HawkEye today limits moments instead shutting questionable decision critical evidence umpires call.And reason players crowd accept crucial outcomes tennis black boxed automation. Instead, single person watching exactly decision machine, introduces greater level fairness trust wasnt before.Line judges provide human element, machine augments decisions. Now well, game alongside sports.However, mechanical AI fared strongly example VAR recently introduced English Premiership. If anything, riled footballing crowds voice displeasure, machines decisions arent shared them. What determined lack trust supporters onlookers havent played final decision.AI, digital skills data growth dominate analytics agenda 2020Openness transparency key customer adoption AIFor human centred AI true impact enterprises line adoption level, observation points included business intelligence built upon. Having machinery allows customers understand decisions instil vast trust willingness confidence forecasts.There isnt crystal ball comes knowing exactly business landscape going evolve daytoday smart platforms consume key trends marketplace developments help balance business risk determine decisions swiftly.And wrong conclusions met, thats humans observers come tweak adjust model path corrected, danger subsequently averted.Think Tesla selfdrive capabilities truly innovative. But, things wrong driver isnt prepared that, results catastrophic. However, manufacturer prevails utilising smart screen shows making decisions. As result, person wheel understands trust vehicle control, need intervene.Again, said organisations employees observers. To begin achieve success, team needs desired information AI, order elevate jobs, watch machine action work sidebyside comes business intelligence.Examining realtime activity, enterprises fact creating cockpits humans step needed trust machine effectively understand commercially savvy decisions customer sees too.Everybody play ensuring technology works best business automation ultimately embraced feared. However, positive impact business performance, firms firstly business intelligence right continuously study ML prerequisite.Simplify tools, demystify black box provide smart intelligence isnt magical, instil trust, transparency longevity organisations.The seven dimensions AIKen Miller, cofounder CTO, Panintelligence Topics artificial intelligence human business performance Get Weekly News Analysis Sign latest ITProPortal, plus exclusive special offers, direct inbox No spam, promise. You unsubscribe time share details permission. 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https://www.dailysabah.com/technology/2020/01/20/google-ceo-calls-for-regulation-of-artificial-intelligence
2020-01-20T00:00:00
en
Google CEO calls for regulation of artificial intelligence - Daily Sabah
Google CEO calls for regulation of artificial intelligence - Daily Sabah X Close with photo without photo Print     Home Politics POLITICS Diplomacy EU Affairs War On Terror Legislation Elections Turkey TURKEY Istanbul Ankara Investigations Education Minorities Expat Corner World WORLD Mid-East Syrian Crisis Europe Americas Asia-Pacific Africa Balkans Islamophobia Business BUSINESS Economy Finance Tourism Real-Estate Energy Automotive Tech Defense Sports SPORTS Football Basketball Motorsports Tennis Life LIFE Travel Food Health Environment Science Fashion History Religion Feature Arts ARTS Cinema Music Books Events Portrait Opinion OPINION Op Ed Columns Editorial Readers Corner TECH CATEGORIES Home Politics POLITICS Diplomacy EU Affairs War On Terror Legislation Elections Turkey TURKEY Istanbul Ankara Investigations Education Minorities Expat Corner World WORLD Mid-East Syrian Crisis Europe Americas Asia-Pacific Africa Balkans Islamophobia Business BUSINESS Economy Finance Tourism Real-Estate Energy Automotive Tech Defense Sports SPORTS Football Basketball Motorsports Tennis Life LIFE Travel Food Health Environment Science Fashion History Religion Feature Arts ARTS Cinema Music Books Events Portrait Opinion OPINION Op Ed Columns Editorial Readers Corner TECH Daily Sabah > Business > Tech Google CEO calls for regulation of artificial intelligence ASSOCIATED PRESS LONDON Published 20.01.2020 19:57 Share via e-mail TO ADD A MESSAGE YOUR E-MAIL As Turkuvaz, we are processing your personal data, and at the same time, using our best efforts to protect your data by taking the technical and administrative measures prescribed by laws. You may find the informative text in respect of your personal data processed, by visiting the data policy page. Share Facebook Twitter Linkedin Google+ Permalink Sundar Pichai, CEO of Google and Alphabet, speaks on artificial intelligence during a Bruegel think tank conference in Brussels, Belgium, Jan. 20, 2020. (Reuters Photo) Google's chief executive called Monday for a balanced approach to regulating artificial intelligence (AI), telling a European audience that the technology brings benefits but also "negative consequences." Sundar Pichai's comments come as lawmakers and governments seriously consider putting limits on how AI is used. "There is no question in my mind that artificial intelligence needs to be regulated. The question is how best to approach this," Pichai said, according to a transcript of his speech at a Brussel-based think tank. He noted that there's an important role for governments to play and that as the European Union and the U.S. start drawing up their own approaches to regulation, "international alignment" of any eventual rules will be critical. He did not provide specific proposals. Pichai spoke on the same day he was scheduled to meet the EU's powerful competition regulator, Margrethe Vestager. She is also due to meet Microsoft President Brad Smith separately on Monday. Vestager has in previous years hit the Silicon Valley giant with multibillion-dollar fines for allegedly abusing its market dominance to choke off competition. After being reappointed for a second term last autumn with expanded powers over digital technology policies, Vestager has now set her sights on artificial intelligence and is drawing up rules on its ethical use. Pichai's comments suggest the company may be hoping to head off a broad-based crackdown by the EU on the technology. Vestager and the EU have been among the more aggressive regulators of big tech firms, an approach U.S. authorities have picked up with investigations into the dominance of companies like Google, Facebook and Amazon. "Sensible regulation must also take a proportionate approach, balancing potential harms with social opportunities," he said, adding that it could incorporate existing standards like Europe's tough General Data Protection Regulation rather than starting from scratch. While it promises big benefits, he raised concerns about potential downsides of AI, citing as one example its role in facial recognition technology, which can be used to find missing people but also for "nefarious reasons" which he didn't specify. In 2018, Google pledged not to use AI in applications related to weapons, surveillance that violates international norms, or that works in ways that go against human rights. Pichai is also due to meet Frans Timmermans, the EU commissioner overseeing the European Green Deal, the bloc's plan to fight climate change by making the continent carbon neutral by 2050, including through technology. He is then scheduled to head to the World Economic Forum in Davos, Switzerland, this week. Share on Facebook Share on Twitter Previous in Tech CES 2020 was a spectacle of innovative concepts and overreaching experiments,... DAILY SABAH RECOMMENDS CES: 2020 to be year of e-vehicles New walking tour app spotlights multicultural Istanbul Turkish startup Getir attracts $38M from Silicon Valley investors Homepage Turkey Istanbul Ankara Education Investigations Minorities Expat Corner Politics Diplomacy Legislation War On Terror EU Affairs Elections World Mid-East Balkans Europe Americas Asia Pacific Africa Syrian Crisis İslamophobia Business Real Estate Automotive Economy Energy Finance Tourism Tech Defense Illustration Gallery RSS Jobs Sports Football Basketball Motorsports Tennis Life Feature Health Environment Travel Food Fashion Science Religion History Arts Cinema Music Events Books Portrait Opinion Columns Op-Ed Reader's Corner Editorial Subscriptions Advertise Privacy About Us Contact Us
Google CEO calls for regulation of artificial intelligence
Google CEO calls regulation artificial intelligence Daily Sabah X Close photo photo Print Home Politics POLITICS Diplomacy EU Affairs War On Terror Legislation Elections Turkey TURKEY Istanbul Ankara Investigations Education Minorities Expat Corner World WORLD MidEast Syrian Crisis Europe Americas AsiaPacific Africa Balkans Islamophobia Business BUSINESS Economy Finance Tourism RealEstate Energy Automotive Tech Defense Sports SPORTS Football Basketball Motorsports Tennis Life LIFE Travel Food Health Environment Science Fashion History Religion Feature Arts ARTS Cinema Music Books Events Portrait Opinion OPINION Op Ed Columns Editorial Readers Corner TECH CATEGORIES Home Politics POLITICS Diplomacy EU Affairs War On Terror Legislation Elections Turkey TURKEY Istanbul Ankara Investigations Education Minorities Expat Corner World WORLD MidEast Syrian Crisis Europe Americas AsiaPacific Africa Balkans Islamophobia Business BUSINESS Economy Finance Tourism RealEstate Energy Automotive Tech Defense Sports SPORTS Football Basketball Motorsports Tennis Life LIFE Travel Food Health Environment Science Fashion History Religion Feature Arts ARTS Cinema Music Books Events Portrait Opinion OPINION Op Ed Columns Editorial Readers Corner TECH Daily Sabah > Business > Tech Google CEO calls regulation artificial intelligence ASSOCIATED PRESS LONDON Published 20.01.2020 19:57 Share email TO ADD A MESSAGE YOUR EMAIL As Turkuvaz, processing personal data, time, best efforts protect data taking technical administrative measures prescribed laws. You informative text respect personal data processed, visiting data policy . Share Facebook Twitter Linkedin Google Permalink Sundar Pichai, CEO Google Alphabet, speaks artificial intelligence Bruegel think tank conference Brussels, Belgium, Jan. 20, 2020. Reuters Photo Googles chief executive called Monday balanced approach regulating artificial intelligence AI, telling European audience technology brings benefits negative consequences. Sundar Pichais comments come lawmakers governments seriously consider putting limits AI used. There question mind artificial intelligence needs regulated. The question best approach this, Pichai said, according transcript speech Brusselbased think tank. He noted theres important role governments play European Union U.S. start drawing approaches regulation, international alignment eventual rules critical. He provide specific proposals. Pichai spoke day scheduled meet EUs powerful competition regulator, Margrethe Vestager. She meet Microsoft President Brad Smith separately Monday. Vestager previous years hit Silicon Valley giant multibilliondollar fines allegedly abusing market dominance choke competition. After reappointed second term autumn expanded powers digital technology policies, Vestager set sights artificial intelligence drawing rules ethical use. Pichais comments suggest company hoping head broadbased crackdown EU technology. Vestager EU aggressive regulators big tech firms, approach U.S. authorities picked investigations dominance companies like Google, Facebook Amazon. Sensible regulation proportionate approach, balancing potential harms social opportunities, said, adding incorporate existing standards like Europes tough General Data Protection Regulation starting scratch. While promises big benefits, raised concerns potential downsides AI, citing example role facial recognition technology, missing people nefarious reasons didnt specify. In 2018, Google pledged use AI applications related weapons, surveillance violates international norms, works ways human rights. Pichai meet Frans Timmermans, EU commissioner overseeing European Green Deal, blocs plan fight climate change making continent carbon neutral 2050, including technology. He scheduled head World Economic Forum Davos, Switzerland, week. Share Facebook Share Twitter Previous Tech CES 2020 spectacle innovative concepts overreaching experiments,... DAILY SABAH RECOMMENDS CES: 2020 year evehicles New walking tour app spotlights multicultural Istanbul Turkish startup Getir attracts 38M Silicon Valley investors Home Turkey Istanbul Ankara Education Investigations Minorities Expat Corner Politics Diplomacy Legislation War On Terror EU Affairs Elections World MidEast Balkans Europe Americas Asia Pacific Africa Syrian Crisis slamophobia Business Real Estate Automotive Economy Energy Finance Tourism Tech Defense Illustration Gallery RSS Jobs Sports Football Basketball Motorsports Tennis Life Feature Health Environment Travel Food Fashion Science Religion History Arts Cinema Music Events Books Portrait Opinion Columns OpEd Readers Corner Editorial Subscriptions Advertise Privacy Us
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https://venturebeat.com/2020/07/17/uber-tooling-is-a-critical-part-of-ai-development-and-deployment/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
2020-07-17T00:00:00
en
Uber: Tooling is a critical part of AI development and deployment | VentureBeat
Uber: Tooling is a critical part of AI development and deployment | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Become a Member Sign In Log Out VentureBeat Homepage Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out Uber: Tooling is a critical part of AI development and deployment Kyle Wiggers@Kyle_L_Wiggers July 17, 2020 11:10 AM AI Share on Facebook Share on Twitter Share on LinkedIn Man wearing an Uber t-shirtImage Credit: GEOFFROY VAN DER HASSELT / Stringer / via Getty VB Transform Join live for the last day of the AI event of the year Hosted Digitally 7/17 from 9 - 4:25 PT Register Now Watch the final day of VB Transform live on YouTube! Uber employs thousands of machine learning models to inform all aspects of its business, according to chief scientist Zoubin Ghahramani. He revealed this tidbit during a session at VentureBeat’s Transform 2020 summit, during which he spoke about Uber’s use of AI and internet of things (IoT) technologies at the edge and in datacenters around the world. Contrary to popular belief, autonomous vehicles aren’t the top driver of AI and machine learning at Uber, according to Ghahramani. (Uber’s Advanced Technologies Group has been developing and testing self-driving cars for passenger pickup since 2015.) Rather, the bulk of the company’s algorithms are designed to handle natural language interactions across Uber’s mobile apps and to detect fraud and other issues. In May, for example, Uber rolled out an AI system to verify drivers are wearing masks in accordance with the company’s pandemic health and safety policies. Some algorithms are better suited to on-device edge processing than processing in the cloud, Ghahramani says. In some parts of the world, internet-based solutions are far less reliable — if they can be deployed at all. For systems like the kind responsible for identifying glare, blur, and truncation from photos of driver documents and identification, Uber uses “very small” mobile-optimized models that work in real time. These and other models — both online and offline — are served by Michelangelo, Uber’s internal platform that enables teams to build, deploy, and monitor AI at scale. It helps track model performance over time, providing transparency to engineers and executives, Ghahramani says. And it affords visibility into Uber’s data pipeline, allowing data scientists to spend time tracking and ensuring data quality. Operationalizing AI When asked whether Uber’s initial public offering in May 2019 changed its approach to AI, Ghahramani said the company shifted its focus from longer-term research to nimbler approaches that can respond to shocks like the pandemic. In April, the company said ride-hailing requests had dropped 80% globally. That same quarter, revenue from restaurant food deliveries rose by more than 50% year-over-year. “We’re focused on showing return on investment. We try to ruthlessly prioritize the value of what we create,” Ghahramani said. “AI and machine learning is not magic — it’s as good as the data that you have, the tools that you use to extract value from that data, and the people that are operating those tools.” One of these tools is Ludwig, a library built atop Google’s TensorFlow that’s used internally at Uber to train models without code. Others include Plato, a conversational AI development suite; Piranha, a tool that automatically deletes stale code; Manifold, a visual tool for debugging AI; and Neuropod, an abstraction layer intended to unify disparate frameworks like TensorFlow and Facebook’s PyTorch. All are available in open source. “You have to invest in open source — just embrace it,” Ghahramani said. “It’s just the way people do things.” Score lifetime access to this stock image library for only $29 Boost your productivity with these 9 hot deals for entrepreneurs You can score a lifetime of cloud backup for under $50 right now This Microsoft Excel training bundle is just $34 right now Store 5TB of data in the cloud for life for just $80 Beat the heat this summer with this deal on a portable air conditioner This fitness app can count your reps and even critique your form These wireless earbuds sound great and mold to your ears for a perfect fit Learn how to build WordPress sites with this $30 bundle View all deals store AI Weekly: Transform 2020 showcased the practical side of AI and ML Kyle Wiggers July 17, 2020 11:30 AM Intel VP: AI-aided defect detection is a killer app for industrial IoT Jeremy Horwitz July 17, 2020 10:30 AM Nvidia: Edge AI solves specific business problems, won’t kill cloud AI Jeremy Horwitz July 17, 2020 9:40 AM VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on Instagram Follow us on LinkedIn Follow us on Flipboard Follow us on RSS About Contact Careers Advertise © 2020 VentureBeat. 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Uber: Tooling is a critical part of AI development and deployment
Uber: Tooling critical AI development deployment VentureBeat VentureBeat Home The Machine GamesBeat Jobs Become Member Log Out VentureBeat Home Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out Uber: Tooling critical AI development deployment Kyle Wiggers July 17, 2020 11:10 AM AI Share Facebook Share Twitter Share LinkedIn Man wearing Uber tshirtImage Credit: GEOFFROY VAN DER HASSELT Stringer Getty VB Transform Join live day AI event year Hosted Digitally 717 9 4:25 PT Now Watch final day VB Transform live YouTube Uber employs thousands machine learning models inform aspects business, according chief scientist Zoubin Ghahramani. He revealed tidbit session VentureBeats Transform 2020 summit, spoke Ubers use AI internet things IoT technologies edge datacenters world. Contrary popular belief, autonomous vehicles arent driver AI machine learning Uber, according Ghahramani. Ubers Advanced Technologies Group developing testing selfdriving cars passenger pickup 2015. Rather, bulk companys algorithms designed handle natural language interactions Ubers mobile apps detect fraud issues. In May, example, Uber rolled AI verify drivers wearing masks accordance companys pandemic health safety policies. Some algorithms better suited ondevice edge processing processing cloud, Ghahramani says. In parts world, internetbased solutions far reliable deployed all. For systems like kind responsible identifying glare, blur, truncation photos driver documents identification, Uber uses small mobileoptimized models work real time. These models online offline served Michelangelo, Ubers internal platform enables teams build, deploy, monitor AI scale. It helps track model performance time, providing transparency engineers executives, Ghahramani says. And affords visibility Ubers data pipeline, allowing data scientists spend time tracking ensuring data quality. Operationalizing AI When asked Ubers initial public offering May 2019 changed approach AI, Ghahramani said company shifted focus longerterm research nimbler approaches respond shocks like pandemic. In April, company said ridehailing requests dropped 80 globally. That quarter, revenue restaurant food deliveries rose 50 yearoveryear. Were focused showing return investment. We try ruthlessly prioritize value create, Ghahramani said. AI machine learning magic good data have, tools use extract value data, people operating tools. One tools Ludwig, library built atop Googles TensorFlow thats internally Uber train models code. Others include Plato, conversational AI development suite; Piranha, tool automatically deletes stale code; Manifold, visual tool debugging AI; Neuropod, abstraction layer intended unify disparate frameworks like TensorFlow Facebooks PyTorch. All available open source. You invest open source embrace it, Ghahramani said. Its way people things. Score lifetime access stock image library 29 Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 Beat heat summer deal portable air conditioner This fitness app count reps critique form These wireless earbuds sound great mold ears perfect fit Learn build WordPress sites 30 bundle View deals store AI Weekly: Transform 2020 showcased practical AI ML Kyle Wiggers July 17, 2020 11:30 AM Intel VP: AIaided defect detection killer app industrial IoT Jeremy Horwitz July 17, 2020 10:30 AM Nvidia: Edge AI solves specific business problems, wont kill cloud AI Jeremy Horwitz July 17, 2020 9:40 AM VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. .
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https://www.businesschief.eu/human-capital/ey-collaboration-between-humans-and-ai-hr
2020-11-27T00:00:00
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EY: Collaboration between humans and AI in HR | Human Capital | Business Chief EMEA
EY: Collaboration between humans and AI in HR | Human Capital | Business Chief EMEAEdition: North AmericaEMEAAPACInterviewsSectorsCompaniesVideosListsMagazineAbout Us|Advertise|ContactSearchClose #EY#Human Capital#AI#CollaborationEY: Collaboration between humans and AI in HRBusiness Chief EMEA discusses the rise of human and AI collaboration in HR operations with Ray Joyce and Steve Gill HR Services at EYGeorgia Wilson|Nov 30|12 min readIn the last decade, the rise of artificial intelligence (AI) has been exponential. By the end of 2020, the AI industry is expected to have a total revenue of US$156.5bn, with 80% of emerging technologies having AI foundations as we enter into 2021. While the International Data Corporation (IDC) expects investment in AI to be impacted by the outbreak of COVID-19, the corporation still predicts that the worldwide revenue will surpass $300bn by 2024, with a compound annual growth rate (CAGR) of 17.1%. With this in mind, Business Chief spoke to Ray Joyce, Global Talent Predictive AI Lead, HR Services and Steve Gill, Global Talent AI Lead, HR Services at EY to discuss the rise of human and AI collaboration in HR operations.  Working in the industry, Joyce identifies two major trends that are currently occurring in the industry, “I think one major trend that is being shown at the present time is to provide HR and, in turn, organisations with greater insight to their data.” He highlights that harnessing machine learning at an organisational level helps identify trends in data which may not have been easily identified before. “From an employee perspective, the biggest trend is most definitely chatbots – which not only provide a fast and reliable place for an individual to have questions answered but also a safe environment, they can ask any question they like and get a personalised answer back in real time.” While agreeing with Joyce, Gill does predict that the future will move away from using AI solely for insights in data and chatbots, and become more centred around automation. “This is already being seen in chatbots which are beginning to replace (in a limited fashion) Employee Self-Service portals and beginning to carry out transactions, such as a change of address. This level of automation will only increase as companies become more confident in allowing AI to complete tasks on behalf on an individual,” comments Gill, who adds that “for instance, a recruiter could raise a new requisition; as soon as this has been completed, the system has already reviewed the current talent pool(s) available and made recommendations on who would be a good fit – and more critically why. Process mining can review current HR processes and make recommendations on savings based on budgets, time and people.” identifying that talent is the most expansive resource that an organisation has, and typically the most expensive. Joyce explains that, while the digital footprint that employees generate on a daily basis is significant, many companies do not always ‘know’ their people. AI allows talent teams to analyse the data in ways that they have never been able to in the past. With this insight also comes the ability to automate many tasks based on the data in a way that is not only consistent but also objective.” However, Gill comments that while this is certainly a benefit for organisations, “HR data is not always ‘clean’ - as any company that has done a data migration will know - so there may be tasks needed to ready the data. Once this has taken place, it will be of utmost importance that the rules and mechanisms used follow the organisation's inclusion, equality and diversity principles, so that trust can be achieved.” While there are a lot of AI solutions out there, Joyce states that organisations must “see through the ‘sales’ and ensure that the solutions are tied to key metrics within the business case. Start small - but think big!” Agreeing with Joyce, Gill explains that when it comes to developing an effective AI adoption strategy, it is important to “ensure that there is an ethics and bias review team in place which contains members of the HR team. Ensure that every step of the journey they are part of the team and understand the AI. Ensure HR knows that they own the solution and that it is their AI. In addition, do not plan or structure your strategy so that you have to have everything 100% accurate; AI needs to learn and to make mistakes, bring your employee base with you, let them have a say in what they want so that solutions are meaningful to them. It’s all fine having the most techy, whizzy solution, but if it is not what the employee or business wants, then basically it just turns into an expense and the budget could have been used elsewhere.” Further to Gill’s explanation of an effective strategy, Joyce adds that “it is important that HR teams feel involved in the AI solutions. AI should not be ‘done to’ but ‘with’. Most of the data or processes that AI will change or replace will be owned by the HR or People teams and it is very important that the ownership stays with them. Letting the HR team have a say in how the AI will operate will help drive the adoption and take away uncertainty. It is important that content owners trust the AI to make the right decision or answer the question correctly, especially in an area like HR.” Ultimately Joyce concludes that when it comes to the collaboration of humans and AI in HR operations, “An open mind is critical. Technology is changing rapidly and what may be true today can change tomorrow.” As a result, organisations need to be agile in their thinking. Joyce also highlights that emerging technology is not perfect to begin with, and there may be failures along the way. “Having strong stakeholders, a resilient culture, and accepting potential failures as a learning curve instead of a reason to stop will allow companies to keep moving forward, and then ultimately reap huge rewards.” For more information on business topics in Europe, Middle East and Africa please take a look at the latest edition of Business Chief EMEA. Follow Business Chief on LinkedIn and Twitter.  Read Nowthe latest issue of Business Chief EMEARead Nowto find out more about EYRelated ArticlesAccenture: Maximise your cloud valuePwC: Click and collect key to Black Friday sales68% of people in the UAE prefer to work in the office ↑MagazineCompaniesFeaturesVideosEventsListsLeadership & StrategyCorporate FinanceTechnologyDigital StrategyHuman CapitalSustainabilityAbout UsContact UsAdvertisePress ReleasesDec 2020Business Chief EMEABusiness Chief is a ‘Digital Community’ that connects the world’s largest brands and their most senior executives with the latest trends pivoting towards technology and digital transformation.Business Chief NABusiness Chief EMEABusiness Chief APACManufacturing GlobalMining GlobalTechnologyHealthcare GlobalCSOFDF WorldSupply Chain DigitalConstruction GlobalEnergy DigitalFinTechCompanyAdvertising with usBizClik Media LimitedBizClik Media Limited is a dynamic and disruptive global digital media company aimed at bringing business and industry executives up to date with the latest news, information and digital reports looking at the technology and digital transformations of the world leading companies and executive decision makers.© 2020 BizClik Media Limited, All Rights Reserved. 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EY: Collaboration between humans and AI in HR
EY: Collaboration humans AI HR Human Capital Business Chief EMEAEdition: North AmericaEMEAAPACInterviewsSectorsCompaniesVideosListsMagazineAdvertiseCloseEYHuman CapitalAICollaborationEY: Collaboration humans AI HRBusiness Chief EMEA discusses rise human AI collaboration HR operations Ray Joyce Steve Gill HR Services EYGeorgia WilsonNov 3012 min readIn decade, rise artificial intelligence AI exponential. By end 2020, AI industry expected total revenue US156.5bn, 80 emerging technologies AI foundations enter 2021. While International Data Corporation IDC expects investment AI impacted outbreak COVID19, corporation predicts worldwide revenue surpass 300bn 2024, compound annual growth rate CAGR 17.1. With mind, Business Chief spoke Ray Joyce, Global Talent Predictive AI Lead, HR Services Steve Gill, Global Talent AI Lead, HR Services EY discuss rise human AI collaboration HR operations. Working industry, Joyce identifies major trends currently occurring industry, I think major trend shown present time provide HR and, turn, organisations greater insight data. He highlights harnessing machine learning organisational level helps identify trends data easily identified before. From employee perspective, biggest trend definitely chatbots provide fast reliable place individual questions answered safe environment, ask question like personalised answer real time. While agreeing Joyce, Gill predict future away AI solely insights data chatbots, centred automation. This seen chatbots beginning replace limited fashion Employee SelfService portals beginning carry transactions, change address. This level automation increase companies confident allowing AI complete tasks behalf individual, comments Gill, adds instance, recruiter raise new requisition; soon completed, reviewed current talent pools available recommendations good fit critically why. Process mining review current HR processes recommendations savings based budgets, time people. identifying talent expansive resource organisation has, typically expensive. Joyce explains that, digital footprint employees generate daily basis significant, companies know people. AI allows talent teams analyse data ways able past. With insight comes ability automate tasks based data way consistent objective. However, Gill comments certainly benefit organisations, HR data clean company data migration know tasks needed ready data. Once taken place, utmost importance rules mechanisms follow organisations inclusion, equality diversity principles, trust achieved. While lot AI solutions there, Joyce states organisations sales ensure solutions tied key metrics business case. Start small think big Agreeing Joyce, Gill explains comes developing effective AI adoption strategy, important ensure ethics bias review team place contains members HR team. Ensure step journey team understand AI. Ensure HR knows solution AI. In addition, plan structure strategy 100 accurate; AI needs learn mistakes, bring employee base you, let want solutions meaningful them. Its fine techy, whizzy solution, employee business wants, basically turns expense budget elsewhere. Further Gills explanation effective strategy, Joyce adds important HR teams feel involved AI solutions. AI with. Most data processes AI change replace owned HR People teams important ownership stays them. Letting HR team AI operate help drive adoption away uncertainty. It important content owners trust AI right decision answer question correctly, especially area like HR. Ultimately Joyce concludes comes collaboration humans AI HR operations, An open mind critical. Technology changing rapidly true today change tomorrow. As result, organisations need agile thinking. Joyce highlights emerging technology perfect begin with, failures way. Having strong stakeholders, resilient culture, accepting potential failures learning curve instead reason stop allow companies moving forward, ultimately reap huge rewards. For information business topics Europe, Middle East Africa look latest edition Business Chief EMEA. Follow Business Chief LinkedIn Twitter. Read Nowthe latest issue Business Chief EMEARead Nowto EYRelated ArticlesAccenture: Maximise cloud valuePwC: Click collect key Black Friday sales68 people UAE prefer work office MagazineCompaniesFeaturesVideosEventsListsLeadership StrategyCorporate FinanceTechnologyDigital StrategyHuman CapitalSustainability UsAdvertisePress ReleasesDec 2020Business Chief EMEABusiness Chief Digital Community connects worlds largest brands senior executives latest trends pivoting technology digital transformation.Business Chief NABusiness Chief EMEABusiness Chief APACManufacturing GlobalMining GlobalTechnologyHealthcare GlobalCSOFDF WorldSupply Chain DigitalConstruction GlobalEnergy DigitalFinTechCompanyAdvertising usBizClik Media LimitedBizClik Media Limited dynamic disruptive global digital media company aimed bringing business industry executives date latest news, information digital reports looking technology digital transformations world leading companies executive decision makers. 2020 BizClik Media Limited, . 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