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https://www.gwinnettdailypost.com/news/world_nation/the-nba-will-use-artificial-intelligence-and-a-tap-to-cheer-app-feature-to-help/article_0046cfc8-d145-5207-9ab1-7875a877d198.html | 2020-07-30T00:00:00 | en | The NBA will use artificial intelligence and a tap-to-cheer app feature to help fans stuck at home get in the game | World/Nation | gwinnettdailypost.com |
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The NBA will use artificial intelligence and a tap-to-cheer app feature to help fans stuck at home get in the game
By Leah Asmelash, CNN
Jul 30, 2020
Jul 30, 2020
Updated
7 min ago
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The NBA will use artificial intelligence and a tap-to-cheer app feature to help fans stuck at home get in the game.
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Fans won't be allowed in the NBA bubble to cheer their favorite teams on. It is a bubble, after all.But knowing what a difference their support can make (home court advantage, anyone?) the NBA is proposing a few solutions: a tap-to-cheer app and video technology that will teleport their faces court-side from the comfort of their homes."It's obviously very different for the players and it's different for the fans watching at home. I mean, in this sport -- like a lot of others -- there's that home court advantage, that six-man. It's the roar of the crowd, the boos of the crowd," said NBA commissioner Adam Silver Wednesday on CNN with Wolf Blitzer. "We are trying to replicate that to a certain extent without piping in obvious crowd noise."
The moves are just some of the ways professional sports leagues are grappling with the absence due to the coronavirus pandemic. The MLB announced similar cheering technology ahead of its return-to-play last week -- "Cheer at the Ballpark" allows fans to cheer, boo or clap from their couches.On both the NBA and the WNBA app, there is now a tap to cheer option, which would allow fans to virtually cheer for their favorite teams. At the end of the game, the total cheers are tallied and shown on a scoreboard. At the end of the season, the fans from teams with top three total taps will be invited to participate in a virtual roundtable with that team's players, the WNBA's Atlanta Dream -- which started their season last week -- said.And Microsoft Teams, Silver explained to Blitzer, has a mode that would actually show fans on arena screens on the sidelines, allowing players to see their images courtside."We are excited to partner with Microsoft to virtually incorporate NBA fans into our season restart," said Sara Zuckert, the NBA's Head of Next Gen Telecast, in a blog post on Microsoft's website. "This unique live game experience will allow fans to maintain a sense of community as they watch their favorite teams and players."
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The company said each game court would feature 17-foot-tall LED screens wrapping around three sides of the arena that show 300 cheering fans ported in using Teams' "Together Mode." The product uses artificial intelligence to "bring people together into a shared background like a conference room, coffee shop, or arena," it said.It's still unclear what kind of difference this technology will make in the overall atmosphere of a sporting match, though.Other countries have also tried their hand at similar tech -- like in Japan, where Yamaha has developed a "Remote Cheerer powered by Sound UD" system that would broadcast cheers, boos and chants from users' homes to the stadium.Not every attempt has been successful, though.In South Korea, FC Seoul was fined 100 million Korean won (around $81,000) after being accused of placing sex dolls in its stands to add to the atmosphere during a closed match.CNN's Jack Guy contributed to this report.
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Garrett EllwoodNBAE Getty Images Facebook Twitter WhatsApp SMS Email Print Save Fans wont allowed NBA bubble cheer favorite teams on. It bubble, all.But knowing difference support home court advantage, anyone? NBA proposing solutions: taptocheer app video technology teleport faces courtside comfort homes.Its obviously different players different fans watching home. I mean, sport like lot theres home court advantage, sixman. Its roar crowd, boos crowd, said NBA commissioner Adam Silver Wednesday CNN Wolf Blitzer. We trying replicate certain extent piping obvious crowd noise. The moves ways professional sports leagues grappling absence coronavirus pandemic. The MLB announced similar cheering technology ahead returntoplay week Cheer Ballpark allows fans cheer, boo clap couches.On NBA WNBA app, tap cheer option, allow fans virtually cheer favorite teams. At end game, total cheers tallied shown scoreboard. At end season, fans teams total taps invited participate virtual roundtable teams players, WNBAs Atlanta Dream started season week said.And Microsoft Teams, Silver explained Blitzer, mode actually fans arena screens sidelines, allowing players images courtside.We excited partner Microsoft virtually incorporate NBA fans season restart, said Sara Zuckert, NBAs Head Next Gen Telecast, blog post Microsofts website. This unique live game experience allow fans maintain sense community watch favorite teams players. Success An email sent link confirm list signup. Error There error processing request. Most popular posts Gwinnett Daily Post Get popular posts previous week emailed Monday morning. Please enter valid email address. Sign Manage lists The company said game court feature 17foottall LED screens wrapping sides arena 300 cheering fans ported Teams Together Mode. The product uses artificial intelligence bring people shared background like conference room, coffee shop, arena, said.Its unclear kind difference technology overall atmosphere sporting match, though.Other countries tried hand similar tech like Japan, Yamaha developed Remote Cheerer powered Sound UD broadcast cheers, boos chants users homes stadium.Not attempt successful, though.In South Korea, FC Seoul fined 100 million Korean 81,000 accused placing sex dolls stands add atmosphere closed match.CNNs Jack Guy contributed report. Support Local JournalismNow, ever, world needs trustworthy reportingbut good journalism isnt free. 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] | 1 | NEGATIVE | 400 |
https://www.globenewswire.com/news-release/2020/07/09/2060202/0/en/New-Research-Reveals-Adoption-and-Implementation-of-Artificial-Intelligence-in-the-Enterprise.html | 2020-07-09T00:00:00 | en | New Research Reveals Adoption and Implementation of Artificial Intelligence in the Enterprise |
New Research Reveals Adoption and Implementation of Artificial Intelligence in the Enterprise
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July 09, 2020 13:00 ET
| Source: Interop
SAN FRANCISCO, July 09, 2020 (GLOBE NEWSWIRE) -- Informa Tech media brands, InformationWeek and ITPro Today, today announced findings from their latest research survey the 2020 State of Artificial Intelligence. The team surveyed technology decision makers across North American companies to uncover the ways organizations are approaching and implementing emerging technologies – specifically artificial intelligence (AI) and the Internet of Things (IoT) – in order to grow and get ahead of the competition. Key Findings in the 2020 State of Artificial Intelligence Organizations varied a great deal in terms of where they were in their adoption of AI. The largest percentage of organizations (36%) are still in the development stage with their AI programs, and yet nearly one-third (30%) were the most advanced, with multiple applications in general production.The biggest concern organizations had about AI was security, which was cited by nearly half of respondents (48%).Larger companies (1,000 or more employees) said that greater efficiencies within IT operations topped their list of benefits already achieved from existing AI deployments (49%). Smaller companies (fewer than 1,000 employees) said the biggest benefit was new product development (35%), followed closely by IT efficiencies (31%).The majority of those surveyed, (55%), said they were “pioneers” of AI deployment, learning about AI as they engaged with the technology. Very few classified themselves as “bleeding edge early adopters,” nor did they describe their organizations as “resistant laggards.” To download a complimentary copy of The 2020 State of Artificial Intelligence, click here. Media interested in receiving a copy of the report or the State of AI infographic should contact Briana Pontremoli at [email protected]. 2020 State of Artificial Intelligence Report MethodologyThe survey collected opinions from nearly 300 business professionals at companies engaged with AI-related projects. Nearly 90% of respondents have an IT or technology-related job function, such as application development, security, Internet of Things, networking, cloud, or engineering. Just over half of respondents work in a management capacity, with titles such as C-level executive, director, manager, or vice president. One half are from large companies with 1,000 or more employees, and 20% work at companies with 100 to 999 employees. About Informa TechInforma Tech is a market leading provider of integrated research, media, training and events to the global Technology community. We're an international business of more than 600 colleagues, operating in more than 20 markets. Our aim is to inspire the Technology community to design, build and run a better digital world through research, media, training and event brands that inform, educate and connect. Over 7,000 professionals subscribe to our research, with 225,000 delegates attending our events and over 18,000 students participating in our training programs each year, and nearly 4 million people visiting our digital communities each month. Learn more about Informa Tech. Media Contact:Briana PontremoliInforma Tech [email protected]
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| New Research Reveals Adoption and Implementation of Artificial Intelligence in the Enterprise | New Research Reveals Adoption Implementation Artificial Intelligence Enterprise GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners New Research Reveals Adoption Implementation Artificial Intelligence Enterprise Email Print Friendly Share July 09, 2020 13:00 ET Source: Interop SAN FRANCISCO, July 09, 2020 GLOBE NEWSWIRE Informa Tech media brands, InformationWeek ITPro Today, today announced findings latest research survey 2020 State Artificial Intelligence. The team surveyed technology decision makers North American companies uncover ways organizations approaching implementing emerging technologies specifically artificial intelligence AI Internet Things IoT order grow ahead competition. Key Findings 2020 State Artificial Intelligence Organizations varied great deal terms adoption AI. The largest percentage organizations 36 development stage AI programs, nearly onethird 30 advanced, multiple applications general production.The biggest concern organizations AI security, cited nearly half respondents 48.Larger companies 1,000 employees said greater efficiencies IT operations topped list benefits achieved existing AI deployments 49. Smaller companies fewer 1,000 employees said biggest benefit new product development 35, followed closely IT efficiencies 31.The majority surveyed, 55, said pioneers AI deployment, learning AI engaged technology. Very classified bleeding edge early adopters, organizations resistant laggards. To download complimentary copy The 2020 State Artificial Intelligence, click here. Media interested receiving copy report State AI infographic contact Briana Pontremoli Briana.Pontremoli 2020 State Artificial Intelligence Report MethodologyThe survey collected opinions nearly 300 business professionals companies engaged AIrelated projects. Nearly 90 respondents IT technologyrelated job function, application development, security, Internet Things, networking, cloud, engineering. Just half respondents work management capacity, titles Clevel executive, director, manager, vice president. One half large companies 1,000 employees, 20 work companies 100 999 employees. About Informa TechInforma Tech market leading provider integrated research, media, training events global Technology community. Were international business 600 colleagues, operating 20 markets. Our aim inspire Technology community design, build run better digital world research, media, training event brands inform, educate connect. Over 7,000 professionals subscribe research, 225,000 delegates attending events 18,000 students participating training programs year, nearly 4 million people visiting digital communities month. Learn Informa Tech. Media :Briana PontremoliInforma Tech PRbriana.pontremoli Related Articles More articles issued Interop More articles related to: Research Analysis Reports Profile Interop RSS ATOM Javascript New York, New York, UNITED STATES Media Files INT_Digital_Logo_Horiz_RGB.png LOGO URL Copy link Formats available: Original Medium Small Tags Artificial Intelligence Interop InformationWeek State AI Internet Things IoT Related Links 2020 State Artificial Intelligence Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . Ok | 2,020 | [
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https://cheshire.media/uncategorised/552786/artificial-intelligence-ai-in-agriculture-market-share-industry-size-covid-19-impact-global-research-top-leading-players-growth-trends-and-forecast-2025/ | 2020-12-06T00:00:00 | en | Artificial Intelligence (AI) in Agriculture Market Share, Industry Size, COVID-19 Impact, Global Research, Top Leading Players, Growth Trends and Forecast 2025 – Cheshire Media |
Artificial Intelligence (AI) in Agriculture Market Share, Industry Size, COVID-19 Impact, Global Research, Top Leading Players, Growth Trends and Forecast 2025 – Cheshire Media
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Artificial Intelligence (AI) in Agriculture Market Share, Industry Size, COVID-19 Impact, Global Research, Top Leading Players, Growth Trends and Forecast 2025
Byanita_adroit
Dec 5, 2020
Global Artificial Intelligence (AI) in Agriculture Market report spotlights major statistics of the current industry state and is a beneficial source of developments and opportunities for individuals and firms interested in the Artificial Intelligence (AI) in Agriculture industry. The report primarily concentrate on the Artificial Intelligence (AI) in Agriculture market growth in productivity, demand, trade and investment with company profiles, specification and product picture. Worldwide Artificial Intelligence (AI) in Agriculture market study predicts revenues for applications across key regions with scope of Artificial Intelligence (AI) in Agriculture market, manufacturing cost structure analysis, and product overview.
The industry report analyzes the world Artificial Intelligence (AI) in Agriculture market estimates and forecasts of all the given segments on global as well as regional levels. The study provides historical Artificial Intelligence (AI) in Agriculture market data couples with revenue prdictions and forecasts from 2019 till 2024. The report focuses on Artificial Intelligence (AI) in Agriculture market trends, supply chain trends, technical modernization, leading players, key developments, and Artificial Intelligence (AI) in Agriculture future strategies. With comprehensive global Artificial Intelligence (AI) in Agriculture industry assessment across the major geographies and rest of the world. This report is a valuable asset for the existing Artificial Intelligence (AI) in Agriculture players, new entrants and the future investors.
Request for a free sample report at: https://www.adroitmarketresearch.com/contacts/request-sample/1725?utm_source=pr
The Artificial Intelligence (AI) in Agriculture market consists of international and regional vendors. Numerous regional Artificial Intelligence (AI) in Agriculture vendors are offering customized solutions at lesser prices than international vendors for increasing their presence in the worldwide Artificial Intelligence (AI) in Agriculture industry. Though several new vendors are entering the Artificial Intelligence (AI) in Agriculture market, they find it difficult to compete with the international Artificial Intelligence (AI) in Agriculture vendors based on factors such as quality, features, functionalities, and services.
The leading players of Artificial Intelligence (AI) in Agriculture market includes
IBM, Deere & Company, AgEagle Aerial Systems, Microsoft, The Climate Corporation, Granular, Prospera Technologies, Taranis, aWhere, Descartes Labs, Tule Technologies
Read complete report @ https://www.adroitmarketresearch.com/industry-reports/artificial-intelligence-ai-in-agriculture-market?utm_source=pr
The competitive environment in the Artificial Intelligence (AI) in Agriculture market is likely to intensify during the forecast period with a rise in product extensions, Artificial Intelligence (AI) in Agriculture technological innovations, and strategic M&A activities.
Global Artificial Intelligence (AI) in Agriculture market is segmented based by type, application and region.
Based on Type, the market has been segmented into:
by Component (hardware, software, services), Technology (computer vision, machine learning, predictive analytics)
Based on Application, the market has been segmented into:
By Application (precision farming, agriculture robots, drone analytics, livestock monitoring, others)
Globally, Artificial Intelligence (AI) in Agriculture market spread across-
1. North America Country (United States, Canada)
2. South America
3. Asia Country (China, Japan, India, Korea)
4. Europe Country (Germany, UK, France, Italy)
5. Other Country (Middle East, Africa, GCC)
The study not only describes industrial overview of Artificial Intelligence (AI) in Agriculture market but also gives specification, classification, geographic application segmentation. In addition, it depicts major players and consumers analysis of Artificial Intelligence (AI) in Agriculture industry. Moreover, illustrates consumption forecast, analysis of Artificial Intelligence (AI) in Agriculture market development and regional trend. Next, this research report outlines the regional Artificial Intelligence (AI) in Agriculture marketing type analysis together with traders or distributors. Then explains Artificial Intelligence (AI) in Agriculture market methodology, future development analysis, business strategies and data source.
Report Highlights of Global Artificial Intelligence (AI) in Agriculture Market:
*The report portrays an extensive analysis on current/future Artificial Intelligence (AI) in Agriculture market trends to identify the investment opportunities.
*Artificial Intelligence (AI) in Agriculture market forecasts till 2024, using estimated market values as the base numbers.
*Key Artificial Intelligence (AI) in Agriculture market trends across the regions, business segments, and countries.
*Key developments and strategies observed in the Artificial Intelligence (AI) in Agriculture market.
*Artificial Intelligence (AI) in Agriculture market dynamics such as Restraints, Drivers, Opportunities.
*In-depth company profiles of Artificial Intelligence (AI) in Agriculture key players and upcoming prominent players.
*Artificial Intelligence (AI) in Agriculture market forecast 2019-2025
*Growth prospects for Artificial Intelligence (AI) in Agriculture among the emerging nations through 2024.
*Artificial Intelligence (AI) in Agriculture market share opportunities and recommendations for new investments.
For more Information or Any Query Visit: https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/1725?utm_source=pr
About Us :
Adroit Market Research is an India-based business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a market’s size, key trends, participants and future outlook of an industry. We intend to become our clients’ knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.
Contact Us :
Ryan Johnson
Account Manager Global
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TX 75204, U.S.A
Phone No.: USA: +1 972-362 -8199 / +91 9665341414
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| Artificial Intelligence (AI) in Agriculture Market Share, Industry Size, COVID-19 Impact, Global Research, Top Leading Players, Growth Trends and Forecast 2025 | Artificial Intelligence AI Agriculture Market Share, Industry Size, COVID19 Impact, Global Research, Top Leading Players, Growth Trends Forecast 2025 Cheshire Media Skip content Sat. Dec 5th, 2020 Cheshire Media All News Energy Finance Headline Health Safety Space All News Energy Finance Headline Health Safety Space Artificial Intelligence AI Agriculture Market Share, Industry Size, COVID19 Impact, Global Research, Top Leading Players, Growth Trends Forecast 2025 Byanita_adroit Dec 5, 2020 Global Artificial Intelligence AI Agriculture Market report spotlights major statistics current industry state beneficial source developments opportunities individuals firms interested Artificial Intelligence AI Agriculture industry. The report primarily concentrate Artificial Intelligence AI Agriculture market growth productivity, demand, trade investment company profiles, specification product picture. Worldwide Artificial Intelligence AI Agriculture market study predicts revenues applications key regions scope Artificial Intelligence AI Agriculture market, manufacturing cost structure analysis, product overview. The industry report analyzes world Artificial Intelligence AI Agriculture market estimates forecasts given segments global regional levels. The study provides historical Artificial Intelligence AI Agriculture market data couples revenue prdictions forecasts 2019 till 2024. The report focuses Artificial Intelligence AI Agriculture market trends, supply chain trends, technical modernization, leading players, key developments, Artificial Intelligence AI Agriculture future strategies. With comprehensive global Artificial Intelligence AI Agriculture industry assessment major geographies rest world. This report valuable asset existing Artificial Intelligence AI Agriculture players, new entrants future investors. Request free sample report at: The Artificial Intelligence AI Agriculture market consists international regional vendors. Numerous regional Artificial Intelligence AI Agriculture vendors offering customized solutions lesser prices international vendors increasing presence worldwide Artificial Intelligence AI Agriculture industry. Though new vendors entering Artificial Intelligence AI Agriculture market, difficult compete international Artificial Intelligence AI Agriculture vendors based factors quality, features, functionalities, services. The leading players Artificial Intelligence AI Agriculture market includes IBM, Deere Company, AgEagle Aerial Systems, Microsoft, The Climate Corporation, Granular, Prospera Technologies, Taranis, aWhere, Descartes Labs, Tule Technologies Read complete report @ The competitive environment Artificial Intelligence AI Agriculture market likely intensify forecast period rise product extensions, Artificial Intelligence AI Agriculture technological innovations, strategic MA activities. Global Artificial Intelligence AI Agriculture market segmented based type, application region. Based Type, market segmented into: Component hardware, software, services, Technology vision, machine learning, predictive analytics Based Application, market segmented into: By Application precision farming, agriculture robots, drone analytics, livestock monitoring, Globally, Artificial Intelligence AI Agriculture market spread 1. North America Country United States, Canada 2. South America 3. Asia Country China, Japan, India, Korea 4. Europe Country Germany, UK, France, Italy 5. Other Country Middle East, Africa, GCC The study describes industrial overview Artificial Intelligence AI Agriculture market gives specification, classification, geographic application segmentation. In addition, depicts major players consumers analysis Artificial Intelligence AI Agriculture industry. Moreover, illustrates consumption forecast, analysis Artificial Intelligence AI Agriculture market development regional trend. Next, research report outlines regional Artificial Intelligence AI Agriculture marketing type analysis traders distributors. Then explains Artificial Intelligence AI Agriculture market methodology, future development analysis, business strategies data source. Report Highlights Global Artificial Intelligence AI Agriculture Market: The report portrays extensive analysis currentfuture Artificial Intelligence AI Agriculture market trends identify investment opportunities. Artificial Intelligence AI Agriculture market forecasts till 2024, estimated market values base numbers. Key Artificial Intelligence AI Agriculture market trends regions, business segments, countries. Key developments strategies observed Artificial Intelligence AI Agriculture market. Artificial Intelligence AI Agriculture market dynamics Restraints, Drivers, Opportunities. Indepth company profiles Artificial Intelligence AI Agriculture key players upcoming prominent players. Artificial Intelligence AI Agriculture market forecast 20192025 Growth prospects Artificial Intelligence AI Agriculture emerging nations 2024. Artificial Intelligence AI Agriculture market share opportunities recommendations new investments. For Information Any Query Visit: : Adroit Market Research Indiabased business analytics consulting company. Our target audience wide range corporations, manufacturing companies, producttechnology development institutions industry associations require understanding markets size, key trends, participants future outlook industry. We intend clients knowledge partner provide valuable market insights help create opportunities increase revenues. We follow code Explore, Learn Transform. At core, curious people love identify understand industry patterns, create insightful study findings churn moneymaking roadmaps. Us : Ryan Johnson Account Manager Global 3131 McKinney Ave Ste 600, Dallas, TX 75204, U.S.A Phone No.: USA: 1 972362 8199 91 9665341414 Post navigation GPU Database Market 2020 Industry Growth, Future Demand, Top Key Players Review, Professional Survey Covid19 Analysis Research Report Foresight 2028 Enterprise Video Market Industry Size, Trends, Demands, Sales, Supply, Covid19 Impact Analysis Forecast 2025 By anita_adroit Related Post All News System Basis Chip Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: NXP Semiconductors, Infineon Technologies, Texas Instruments, Robert Bosch, Stmicroelectronics, etc. InForGrowth Dec 5, 2020 basavraj.t All News Global Dairy Alternatives Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: The Whitewave Foods Company, The Hain Celestial Group, ., Blue Diamond Growers, Sunopta ., etc. InForGrowth Dec 5, 2020 basavraj.t All News Halal Meat Market Statistics Research Analysis Released Latest Industry Report 2020 CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis: Carrefour SA, Nestle SA, Isla Delice, Tahira Foods Ltd., Tesco plc, etc. InForGrowth Dec 5, 2020 basavraj.t Recent Posts System Basis Chip Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: NXP Semiconductors, Infineon Technologies, Texas Instruments, Robert Bosch, Stmicroelectronics, etc. InForGrowth Global Dairy Alternatives Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: The Whitewave Foods Company, The Hain Celestial Group, ., Blue Diamond Growers, Sunopta ., etc. InForGrowth Halal Meat Market Statistics Research Analysis Released Latest Industry Report 2020 CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis: Carrefour SA, Nestle SA, Isla Delice, Tahira Foods Ltd., Tesco plc, etc. InForGrowth Covid19 Impact Global EMI Shielding Market 20202026 Potential growth, attractive valuation longterm investment Top Players: Chomerics, Laird PLC., PPG Industries, ., Henkel AG Co. KGaA, etc. InForGrowth Global Desktop Virtualization Market 2020 Recovering From Covid19 Outbreak Know About Brand Players: Citrix, VMware, Toshiba, IBM, Huawei, etc. InForGrowth You missed All News System Basis Chip Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: NXP Semiconductors, Infineon Technologies, Texas Instruments, Robert Bosch, Stmicroelectronics, etc. InForGrowth Dec 5, 2020 basavraj.t All News Global Dairy Alternatives Market 2020 Know Companies List Could Potentially Benefit Loose From Impact COVID19 Top Companies: The Whitewave Foods Company, The Hain Celestial Group, ., Blue Diamond Growers, Sunopta ., etc. InForGrowth Dec 5, 2020 basavraj.t All News Halal Meat Market Statistics Research Analysis Released Latest Industry Report 2020 CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis: Carrefour SA, Nestle SA, Isla Delice, Tahira Foods Ltd., Tesco plc, etc. InForGrowth Dec 5, 2020 basavraj.t All News Covid19 Impact Global EMI Shielding Market 20202026 Potential growth, attractive valuation longterm investment Top Players: Chomerics, Laird PLC., PPG Industries, ., Henkel AG Co. KGaA, etc. InForGrowth Dec 5, 2020 basavraj.t Cheshire Media Proudly powered WordPress Theme: Newsup Themeansar. All News Energy Finance Headline Health Safety Space | 2,020 | [
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https://upnewsinfo.com/2020/11/13/artificial-intelligence-ibm-amd-ink-joint-development-pact-for-security-ai-offerings-latest-news/ | 2020-11-13T00:00:00 | en | artificial intelligence: IBM, AMD ink joint development pact for security, AI offerings - Latest News - Up News Info | artificial intelligence: IBM, AMD ink joint development pact for security, AI offerings - Latest News - Up News Info
Sign inEntertainmentTechnologySportsHealthcareFinancial 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. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Technology artificial intelligence: IBM, AMD ink joint development pact for security, AI offerings...Technologyartificial intelligence: IBM, AMD ink joint development pact for security, AI offerings – Latest NewsBy Isaac Novak - November 13, 202008ShareFacebook Twitter Pinterest WhatsApp Tech giants IBM and AMD have announced a multi-year joint development agreement to enhance and extend the security and Artificial Intelligence (AI) offerings of both the companies. The joint development agreement will expand this vision by building upon open-source software, open standards, and open system architectures to drive ‘confidential computing’ in hybrid cloud environments, a statement said.This will also support a broad range of accelerators across high-performance computing (HPC), and enterprise-critical capabilities such as virtualisation and encryption, it added.Confidential computing protects data while it is being processed.According to Gartner, confidential computing potentially removes the remaining barrier to hybrid cloud adoption for highly regulated businesses or any organisation concerned about unauthorised third-party access to data in use in the public cloud.“The commitment of AMD to technological innovation aligns with our mission to develop and accelerate the adoption of the hybrid cloud to help connect, secure and power our digital world,” IBM Research Director Dario Gil said.IBM is focused on giving clients choice, agility and security in its hybrid cloud offerings through advanced research, development and scaling of new technologies, Gil added.“This agreement between AMD and IBM aligns well with our long-standing commitment to collaborating with leaders in the industry. AMD is excited to extend our work with IBM on AI, accelerating data centre workloads, and improving security across the cloud,” AMD executive vice president and CTO Mark Papermaster said.For many companies, securing highly sensitive data still remains a challenge: cybersecurity is currently the top barrier for adoption as well as the top criteria for selection of cloud providers, according to data from IBM’s Institute for Business Value.Confidential computing capability helps prevent would-be attackers and bad actors from accessing confidential information, even in the event of a break-in. Confidential Computing for hybrid cloud unlocks new potential for enterprise adoption of hybrid cloud computing, especially in regulated industries such as finance, healthcare and insurance, the statement said. Engagement between AMD and IBM researchers on joint development activities under the agreement is now underway, it added. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyAt all-hands, Zuckerberg said that Biden won the election, Bannon violated policies but not enough to shutter his account, Facebook isn't adverse to legislation... Technologygoogle: Google Cloud rolls out database migration service for enterprises – Latest News TechnologyHow water fled the red planet — ScienceDailyHomeAbout UsContact usDisclaimerPrivacy Policy ©
| artificial intelligence: IBM, AMD ink joint development pact for security, AI offerings | artificial intelligence: IBM, AMD ink joint development pact security, AI offerings Latest News Up News Info Sign inEntertainmentTechnologySportsHealthcareFinancial 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. Up News Info EntertainmentTechnologySportsHealthcareFinancialHome Technology artificial intelligence: IBM, AMD ink joint development pact security, AI offerings...Technologyartificial intelligence: IBM, AMD ink joint development pact security, AI offerings Latest NewsBy Isaac Novak November 13, 202008ShareFacebook Twitter Pinterest WhatsApp Tech giants IBM AMD announced multiyear joint development agreement enhance extend security Artificial Intelligence AI offerings companies. The joint development agreement expand vision building opensource software, open standards, open architectures drive confidential computing hybrid cloud environments, statement said.This support broad range accelerators highperformance computing HPC, enterprisecritical capabilities virtualisation encryption, added.Confidential computing protects data processed.According Gartner, confidential computing potentially removes remaining barrier hybrid cloud adoption highly regulated businesses organisation concerned unauthorised thirdparty access data use public cloud.The commitment AMD technological innovation aligns mission develop accelerate adoption hybrid cloud help connect, secure power digital world, IBM Research Director Dario Gil said.IBM focused giving clients choice, agility security hybrid cloud offerings advanced research, development scaling new technologies, Gil added.This agreement AMD IBM aligns longstanding commitment collaborating leaders industry. AMD excited extend work IBM AI, accelerating data centre workloads, improving security cloud, AMD executive vice president CTO Mark Papermaster said.For companies, securing highly sensitive data remains challenge: cybersecurity currently barrier adoption criteria selection cloud providers, according data IBMs Institute Business Value.Confidential computing capability helps prevent wouldbe attackers bad actors accessing confidential information, event breakin. Confidential Computing hybrid cloud unlocks new potential enterprise adoption hybrid cloud computing, especially regulated industries finance, healthcare insurance, statement said. Engagement AMD IBM researchers joint development activities agreement underway, added. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyAt allhands, Zuckerberg said Biden election, Bannon violated policies shutter account, Facebook isnt adverse legislation... Technologygoogle: Google Cloud rolls database migration service enterprises Latest News TechnologyHow water fled red planet ScienceDailyHome usDisclaimer | 2,020 | [
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http://www.movies.consumerelectronicsnet.com/gunnar-optiks-supports-veteran-nonprofit-osd-with-philanthropic-match-initiative/ | 2020-05-06T00:00:00 | en | GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE | | Consumer Electronics Net |
GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE | | Consumer Electronics Net
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GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE
8 hours ago
FOR A $5 DONATION, CUSTOMERS RECEIVE LIMITED-EDITION PATRIOTIC CASE WITH PURCHASE OF PENDLETON BLUE LIGHT GLASSES DURING NATIONAL MILITARY APPRECIATION MONTH IN MAY
CARLSBAD, Calif. (May 5, 2020) – GUNNAR Optiks, the leader and pioneer of performance enhancing, blue light blocking glasses, joined forces with OSD (Outperform, Serve & Develop) to give back to veterans through a match donation initiative surrounding the launch of its newest frames, “Pendleton.” In support of U.S. Veterans during National Military Appreciation Month, GUNNAR released a limited-edition patriotic glasses case, which customers will receive if they donate an extra $5 with their purchase of Pendleton. GUNNAR will match each donation and give OSD 100% of the proceeds to support their award-winning veteran programs which emphasize social connectivity, professional development and community service. OSD’s Veteran Support Ecosystem™ has positively impacted over one million veterans and active military, along with their families since 2010.
“We’re humbled to have the opportunity to support OSD in their efforts to help service members and veterans as they transition from active duty to civilian life,” said GUNNAR Optiks, Director of Marketing – Gaming, Georgina Petrie. “The design of Pendleton was inspired by our military, so it’s only fitting that we partner with a charity like OSD, who’s focus on gaming is a core vehicle in their outreach that aligns with our position as No. 1 in gaming glasses.”
Pendleton features a stylish military inspired design, high-quality stainless-steel frame and is available in Slate and Moss colorways. Equipped with GUNNAR’s patented lens technology, Pendleton enhances focus, prevents dry eyes and the “Amber” lens blocks 65% of blue light emitted from digital devices. The glasses retail for $79.99 and are available in prescription.
The Pendleton glasses and limited-edition patriotic glasses case bundle is available exclusively at GUNNAR.com. This initiative will run from May 5th through May 31st or while supplies last.
“We’re thrilled to once again partner with GUNNAR in support of our military and veterans,” said Glenn D. Banton, Sr., CEO of OSD. “They have been supportive of OSD’s mission since we began in 2010 and the launch of the Pendleton glasses are an amazing way to honor our troops and continue supporting the military community through positive and impactful programs.”
In addition to this philanthropic initiative, during the month of May, individuals can nominate a military veteran for a chance to win a pair of Pendleton glasses plus the patriotic case each week. For more information, follow GUNNAR on social media at @GUNNARoptiks. For more information on GUNNAR’s line of gaming and computer glasses visit GUNNAR.com, Twitter, Instagram and Facebook. For more information about OSD, visit weareosd.org.
About GUNNAR Optiks
Established in 2006, GUNNAR Optiks®, LLC is the preeminent force in performance enhancing, blue light blocking glasses, is the #1 choice in gaming. Leading the way with cutting-edge technology and design innovation, GUNNAR was the first to offer patented technology (#9417460) for lenses that reduce digital eye strain and fatigue issues associated with the use of digital screens. GUNNAR’s lenses are clinically proven, doctor recommended and specifically designed to block blue light, improve focus and reduce dry eyes. As category pioneer, GUNNAR has established itself as expert in gaming eyewear and continues to expand its portfolio providing a wide selection of styles, protective lens types and focus options for all eyes. Eyewear options include Gaming, Computer, Rx, Readers, Sun, in addition to a new line of glasses specifically designed for kids with developing eyes.
About OSD (Outperform, Serve, Develop)OSD is a non-profit Veteran Support Ecosystem™ enhancing lives through community engagement. Since 2010, OSD has enabled over 1,000,000 veterans, active-military and their family members to thrive through award-winning programs emphasizing Social Connectivity, Professional Development and Community Service. OSD is a 501(c)(3) EIN 27-3842517 Learn more at: WeAreOSD.org
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| GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE | GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsGUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE BLUE LIGHT Military News GUNNAR OPTIKS SUPPORTS VETERAN NONPROFIT OSD WITH PHILANTHROPIC MATCH INITIATIVE 8 hours ago FOR A 5 DONATION, CUSTOMERS RECEIVE LIMITEDEDITION PATRIOTIC CASE WITH PURCHASE OF PENDLETON BLUE LIGHT GLASSES DURING NATIONAL MILITARY APPRECIATION MONTH IN MAY CARLSBAD, Calif. May 5, 2020 GUNNAR Optiks, leader pioneer performance enhancing, blue light blocking glasses, joined forces OSD Outperform, Serve Develop veterans match donation initiative surrounding launch newest frames, Pendleton. In support U.S. Veterans National Military Appreciation Month, GUNNAR released limitededition patriotic glasses case, customers receive donate extra 5 purchase Pendleton. GUNNAR match donation OSD 100 proceeds support awardwinning veteran programs emphasize social connectivity, professional development community service. OSDs Veteran Support Ecosystem positively impacted million veterans active military, families 2010. Were humbled opportunity support OSD efforts help service members veterans transition active duty civilian life, said GUNNAR Optiks, Director Marketing Gaming, Georgina Petrie. The design Pendleton inspired military, fitting partner charity like OSD, whos focus gaming core vehicle outreach aligns position No. 1 gaming glasses. Pendleton features stylish military inspired design, highquality stainlesssteel frame available Slate Moss colorways. Equipped GUNNARs patented lens technology, Pendleton enhances focus, prevents dry eyes Amber lens blocks 65 blue light emitted digital devices. The glasses retail 79.99 available prescription. The Pendleton glasses limitededition patriotic glasses case bundle available exclusively . This initiative run May 5th May 31st supplies last. Were thrilled partner GUNNAR support military veterans, said Glenn D. Banton, Sr., CEO OSD. They supportive OSDs mission began 2010 launch Pendleton glasses amazing way honor troops continue supporting military community positive impactful programs. In addition philanthropic initiative, month May, individuals nominate military veteran chance win pair Pendleton glasses plus patriotic case week. For information, follow GUNNAR social media For information GUNNARs line gaming glasses visit , Twitter, Instagram Facebook. For information OSD, visit . About GUNNAR Optiks Established 2006, GUNNAR Optiks, LLC preeminent force performance enhancing, blue light blocking glasses, 1 choice gaming. Leading way cuttingedge technology design innovation, GUNNAR offer patented technology 9417460 lenses reduce digital eye strain fatigue issues associated use digital screens. GUNNARs lenses clinically proven, doctor recommended specifically designed block blue light, improve focus reduce dry eyes. As category pioneer, GUNNAR established expert gaming eyewear continues expand portfolio providing wide selection styles, protective lens types focus options eyes.Eyewear options include Gaming, Computer, Rx, Readers, Sun, addition new line glasses specifically designed kids developing eyes. About OSD Outperform, Serve, DevelopOSD nonprofitVeteran Support Ecosystemenhancing lives community engagement. Since 2010, OSD enabled 1,000,000 veterans, activemilitary family members thrive awardwinning programs emphasizing Social Connectivity, Professional Development Community Service. 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https://www.wkrb13.com/2020/08/30/lisk-machine-learning-hits-market-capitalization-of-298054-30-lml.html | 2020-08-30T00:00:00 | en | Lisk Machine Learning Hits Market Capitalization of $298,054.30 (LML) - WKRB News |
Lisk Machine Learning Hits Market Capitalization of $298,054.30 (LML) - WKRB News
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Lisk Machine Learning Hits Market Capitalization of $298,054.30 (LML)
Posted by Scott Davis on Aug 30th, 2020
Lisk Machine Learning (CURRENCY:LML) traded up 2.1% against the US dollar during the one day period ending at 23:00 PM E.T. on August 29th. During the last seven days, Lisk Machine Learning has traded 17.2% higher against the US dollar. Lisk Machine Learning has a total market cap of $298,054.30 and $9.00 worth of Lisk Machine Learning was traded on exchanges in the last day. One Lisk Machine Learning token can currently be bought for $0.0025 or 0.00000021 BTC on major exchanges including BitBay and Cryptopia.
Here’s how related cryptocurrencies have performed during the last day:
Get Lisk Machine Learning alerts:
XRP (XRP) traded up 3% against the dollar and now trades at $0.28 or 0.00002396 BTC.
Tether (USDT) traded down 0.1% against the dollar and now trades at $1.00 or 0.00008613 BTC.
Chainlink (LINK) traded up 12.5% against the dollar and now trades at $17.12 or 0.00147366 BTC.
Bitcoin SV (BSV) traded up 1.4% against the dollar and now trades at $192.69 or 0.01658255 BTC.
Binance Coin (BNB) traded up 0.4% against the dollar and now trades at $23.04 or 0.00198317 BTC.
Stellar (XLM) traded 2.3% higher against the dollar and now trades at $0.0974 or 0.00000838 BTC.
TRON (TRX) traded 9.4% higher against the dollar and now trades at $0.0262 or 0.00000225 BTC.
InnovativeBioresearchClassic (INNBCL) traded up 20.6% against the dollar and now trades at $0.0000 or 0.00000000 BTC.
Neo (NEO) traded up 22.9% against the dollar and now trades at $22.40 or 0.00192803 BTC.
VeChain (VET) traded up 5.1% against the dollar and now trades at $0.0170 or 0.00000146 BTC.
Lisk Machine Learning Profile
Lisk Machine Learning’s total supply is 400,000,000 tokens and its circulating supply is 120,000,000 tokens. Lisk Machine Learning’s official website is www.gny.io/lisk. Lisk Machine Learning’s official Twitter account is @gny_io.
Buying and Selling Lisk Machine Learning
Lisk Machine Learning can be purchased on the following cryptocurrency exchanges: BitBay and Cryptopia. It is usually not currently possible to purchase alternative cryptocurrencies such as Lisk Machine Learning directly using U.S. dollars. Investors seeking to acquire Lisk Machine Learning should first purchase Bitcoin or Ethereum using an exchange that deals in U.S. dollars such as Gemini, Changelly or Coinbase. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Lisk Machine Learning using one of the aforementioned exchanges.
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| Lisk Machine Learning Hits Market Capitalization of $298,054.30 (LML) | Lisk Machine Learning Hits Market Capitalization 298,054.30 LML WKRB News Home About Daily Email Updates Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies Daily Ratings News Lisk Machine Learning Complete form receive latest headlines analysts recommendations Lisk Machine Learning free daily email newsletter: Follow Recent Posts EncrypGen DNA Reaches One Day Volume 134.00 SmartCash SMART Reaches 1Day Volume 299,602.00 Electroneum Trading Down 3.1 This Week ETN Winding Tree Reaches One Day Volume 15,372.00 LIF ZelaaPayAE Price Tops 0.0106 ZPAE AtromG8 AG8 Trading 80.2 Higher This Week Komodo Tops 24Hour Volume 4.67 Million KMD Education Ecosystem Reaches Market Capitalization 1.80 Million LEDU EVOS EVOS Reaches Market Cap 8,620.77 Lisk Machine Learning Hits Market Capitalization 298,054.30 LML Sushi SUSHI Reaches One Day Volume 22.98 Million Bitcoin Planet BTPL Price Hits 0.0001 Exchanges CoTrader COT Market Capitalization Achieves 3.14 Million Helpico Tops 1Day Trading Volume 10,022.00 HELP Global Crypto Alliance CALL Market Cap Reaches 64,573.86 USDx stablecoin USDX 1Day Volume Reaches 3,491.00 IGToken IG 24 Hour Volume Reaches 3,762.00 DigiByte DGB Price Hits 0.0276 Exchanges Decentralized Machine Learning DML Trading 6.4 Higher Over Last Week WABnetwork WAB Tops 24 Hour Trading Volume 77.00 Lisk Machine Learning Hits Market Capitalization 298,054.30 LML Posted Scott Davis Aug 30th, 2020 Lisk Machine Learning CURRENCY:LML traded 2.1 US dollar day period ending 23:00 PM E.T. August 29th. During seven days, Lisk Machine Learning traded 17.2 higher US dollar. Lisk Machine Learning total market cap 298,054.30 9.00 worth Lisk Machine Learning traded exchanges day. One Lisk Machine Learning token currently bought 0.0025 0.00000021 BTC major exchanges including BitBay Cryptopia. Heres related cryptocurrencies performed day: Get Lisk Machine Learning alerts: XRP XRP traded 3 dollar trades 0.28 0.00002396 BTC. Tether USDT traded 0.1 dollar trades 1.00 0.00008613 BTC. Chainlink LINK traded 12.5 dollar trades 17.12 0.00147366 BTC. Bitcoin SV BSV traded 1.4 dollar trades 192.69 0.01658255 BTC. Binance Coin BNB traded 0.4 dollar trades 23.04 0.00198317 BTC. Stellar XLM traded 2.3 higher dollar trades 0.0974 0.00000838 BTC. TRON TRX traded 9.4 higher dollar trades 0.0262 0.00000225 BTC. InnovativeBioresearchClassic INNBCL traded 20.6 dollar trades 0.0000 0.00000000 BTC. Neo NEO traded 22.9 dollar trades 22.40 0.00192803 BTC. VeChain VET traded 5.1 dollar trades 0.0170 0.00000146 BTC. Lisk Machine Learning Profile Lisk Machine Learnings total supply 400,000,000 tokens circulating supply 120,000,000 tokens. Lisk Machine Learnings official website Lisk Machine Learnings official Twitter account Buying Selling Lisk Machine Learning Lisk Machine Learning purchased following cryptocurrency exchanges: BitBay Cryptopia. It usually currently possible purchase alternative cryptocurrencies Lisk Machine Learning directly U.S. dollars. Investors seeking acquire Lisk Machine Learning purchase Bitcoin Ethereum exchange deals U.S. dollars Gemini, Changelly Coinbase. Investors use newlyacquired Bitcoin Ethereum purchase Lisk Machine Learning aforementioned exchanges. Receive News Updates Lisk Machine Learning Daily Enter email address receive concise daily summary latest news updates Lisk Machine Learning related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSBitcoin Planet BTPL Price Hits 0.0001 Exchanges NEXT Education Ecosystem Reaches Market Capitalization 1.80 Million LEDU Latest News EncrypGen Reaches One Day Volume 134.00 SmartCash Reaches 1Day Volume 299,602.00 Electroneum Trading Down 3.1 This Week Winding Tree Reaches One Day Volume 15,372.00 ZelaaPayAE Price Tops 0.0106 AtromG8 Trading 80.2 Higher This Week Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies 20062020 WKRB News | 2,020 | [
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https://coleofduty.com/military-news/2020/04/23/edge-ai-software-solutions-market-analysis-by-size-share-top-key-manufacturers-demand-overview-regional-outlook-and-growth-forecast-to-2026/ | 2020-04-23T00:00:00 | en | Edge AI Software Solutions Market Analysis by Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast to 2026 – Cole Reports |
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Edge AI Software Solutions Market Analysis by Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast to 2026
April 23, 2020April 23, 2020 Market Research Intellect
Edge AI Software Solutions Market Analysis by Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast to 2026
The Edge AI Software Solutions Market report focuses on the economic developments and consumer spending trends across different countries for the forecast period 2020 to 2026. Studies also show which countries and regions will perform better in the coming years. In addition, the study talks about growth rate, market share and the latest developments in the Edge AI Software Solutions industry around the world. In addition, the special mention of the most important market participants contributes to the importance of the entire market study.
Report Scope: Edge AI Software Solutions Market
The study predicts the growth of the Edge AI Software Solutions Market based on market size, market share, demand, trends and gross sales. It also focuses on the positions of large companies in relation to the competitive landscape and their individual share in the world market. The report segments the industry by product type, application and end use. It shows the latest trends and technological developments in the industry that can influence the industry. The study provides a detailed perspective on the trends observed in the market, the contributing factors, the main players, the key companies and the main areas with growth potential.
Get a sample of the Edge AI Software Solutions market report with the latest industry trends @ https://www.marketresearchintellect.com/download-sample/?rid=189497&utm_source=COD&utm_medium=888
Major Players Covered in this Report are:
Ibm
Microsoft
Intel
Google
Tibco
Cloudera
Nutanix
Foghorn Systems
Swim.ai
Anagog
Tact.ai
Bragi
Xnor.ai
Octonion
Veea Inc
Imagimob
Global Edge AI Software Solutions Market Segmentation
This market was divided into types, applications and regions. The growth of each segment provides an accurate calculation and forecast of sales by type and application in terms of volume and value for the period between 2020 and 2026. This analysis can help you develop your business by targeting niche markets. Market share data are available at global and regional levels. The regions covered by the report are North America, Europe, the Asia-Pacific region, the Middle East, and Africa and Latin America. Research analysts understand the competitive forces and provide competitive analysis for each competitor separately.
To get Incredible Discounts on this Premium Report, Click Here @ https://www.marketresearchintellect.com/ask-for-discount/?rid=189497&utm_source=COD&utm_medium=888
Global Edge AI Software Solutions Market Regions and Countries Level Analysis
The regional analysis is a very complete part of this report. This segmentation highlights Edge AI Software Solutions sales at regional and national levels. This data provides a detailed and accurate analysis of volume by country and an analysis of market size by region of the world market.
The report provides an in-depth assessment of growth and other aspects of the market in key countries such as the United States, Canada, Mexico, Germany, France, the United Kingdom, Russia and the United States Italy, China, Japan, South Korea, India, Australia, Brazil and Saudi Arabia. The chapter on the competitive landscape of the global market report contains important information on market participants such as business overview, total sales (financial data), market potential, global presence, Edge AI Software Solutions sales and earnings, market share, prices, production locations and facilities, products offered and applied strategies. This study provides Edge AI Software Solutions sales, revenue, and market share for each player covered in this report for a period between 2016 and 2020.
Why choose us:
– We offer state of the art critical reports with accurate information about the future of the market.
– Our reports have been evaluated by some industry experts in the market, which makes them beneficial for the company to maximize their return on investment.
– We provide a full graphical representation of information, strategic recommendations and analysis tool results to provide a sophisticated landscape and highlight key market players. This detailed market assessment will help the company increase its efficiency.
– The dynamics of supply and demand shown in the report offer a 360-degree view of the market.
– Our report helps readers decipher the current and future constraints of the Edge AI Software Solutions market and formulate optimal business strategies to maximize market growth.
Have Any Query? Ask Our Expert @ https://www.marketresearchintellect.com/need-customization/?rid=189497&utm_source=COD&utm_medium=888
Table of Contents:
Study Coverage: It includes study objectives, years considered for the research study, growth rate and Edge AI Software Solutions market size of type and application segments, key manufacturers covered, product scope, and highlights of segmental analysis.
Executive Summary: In this section, the report focuses on analysis of macroscopic indicators, market issues, drivers, and trends, competitive landscape, CAGR of the global Edge AI Software Solutions market, and global production. Under the global production chapter, the authors of the report have included market pricing and trends, global capacity, global production, and global revenue forecasts.
Edge AI Software Solutions Market Size by Manufacturer: Here, the report concentrates on revenue and production shares of manufacturers for all the years of the forecast period. It also focuses on price by manufacturer and expansion plans and mergers and acquisitions of companies.
Production by Region: It shows how the revenue and production in the global market are distributed among different regions. Each regional market is extensively studied here on the basis of import and export, key players, revenue, and production.
About Us:
Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage and more. These reports deliver an in-depth study of the market with industry analysis, market value for regions and countries and trends that are pertinent to the industry.
Contact Us:
Mr. Steven Fernandes
Market Research Intellect
New Jersey ( USA )
Tel: +1-650-781-4080
Tags: Edge AI Software Solutions Market Size, Edge AI Software Solutions Market Growth, Edge AI Software Solutions Market Forecast, Edge AI Software Solutions Market Analysis
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| Edge AI Software Solutions Market Analysis by Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast to 2026 | Edge AI Software Solutions Market Analysis Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast 2026 Cole Reports Skip content Cole Reports Cole Market Research Market Reports Industry Analysis Military News Space Technology Satellites Coronavirus News Us for: Edge AI Software Solutions Market Analysis Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast 2026 April 23, 2020April 23, 2020 Market Research Intellect Edge AI Software Solutions Market Analysis Size, Share, Top Key Manufacturers, Demand Overview, Regional Outlook And Growth Forecast 2026 The Edge AI Software Solutions Market report focuses economic developments consumer spending trends different countries forecast period 2020 2026. Studies countries regions perform better coming years. In addition, study talks growth rate, market share latest developments Edge AI Software Solutions industry world. In addition, special mention important market participants contributes importance entire market study. Report Scope: Edge AI Software Solutions Market The study predicts growth Edge AI Software Solutions Market based market size, market share, demand, trends gross sales. It focuses positions large companies relation competitive landscape individual share world market. The report segments industry product type, application end use. It shows latest trends technological developments industry influence industry. The study provides detailed perspective trends observed market, contributing factors, main players, key companies main areas growth potential. Get sample Edge AI Software Solutions market report latest industry trends @ Major Players Covered Report are: Ibm Microsoft Intel Google Tibco Cloudera Nutanix Foghorn Systems Swim.ai Anagog Tact.ai Bragi Xnor.ai Octonion Veea Imagimob Global Edge AI Software Solutions Market Segmentation This market divided types, applications regions. The growth segment provides accurate calculation forecast sales type application terms volume value period 2020 2026. This analysis help develop business targeting niche markets. Market share data available global regional levels. The regions covered report North America, Europe, AsiaPacific region, Middle East, Africa Latin America. Research analysts understand competitive forces provide competitive analysis competitor separately. To redible Discounts Premium Report, Click Here @ Global Edge AI Software Solutions Market Regions Countries Level Analysis The regional analysis complete report. This segmentation highlights Edge AI Software Solutions sales regional national levels. This data provides detailed accurate analysis volume country analysis market size region world market. The report provides indepth assessment growth aspects market key countries United States, Canada, Mexico, Germany, France, United Kingdom, Russia United States Italy, China, Japan, South Korea, India, Australia, Brazil Saudi Arabia. The chapter competitive landscape global market report contains important information market participants business overview, total sales financial data, market potential, global presence, Edge AI Software Solutions sales earnings, market share, prices, production locations facilities, products offered applied strategies. This study provides Edge AI Software Solutions sales, revenue, market share player covered report period 2016 2020. Why choose us: We offer state art critical reports accurate information future market. Our reports evaluated industry experts market, makes beneficial company maximize return investment. We provide graphical representation information, strategic recommendations analysis tool results provide sophisticated landscape highlight key market players. This detailed market assessment help company increase efficiency. The dynamics supply demand shown report offer 360degree view market. Our report helps readers decipher current future constraints Edge AI Software Solutions market formulate optimal business strategies maximize market growth. Have Any Query? Ask Our Expert @ Table Contents: Study Coverage: It includes study objectives, years considered research study, growth rate Edge AI Software Solutions market size type application segments, key manufacturers covered, product scope, highlights segmental analysis. Executive Summary: In section, report focuses analysis macroscopic indicators, market issues, drivers, trends, competitive landscape, CAGR global Edge AI Software Solutions market, global production. Under global production chapter, authors report included market pricing trends, global capacity, global production, global revenue forecasts. Edge AI Software Solutions Market Size Manufacturer: Here, report concentrates revenue production shares manufacturers years forecast period. It focuses price manufacturer expansion plans mergers acquisitions companies. Production Region: It shows revenue production global market distributed different regions. Each regional market extensively studied basis import export, key players, revenue, production. : Market Research Intellect provides syndicated customized research reports clients industries organizations aim delivering functional expertise. We provide reports industries including Energy, Technology, Manufacturing Construction, Chemicals Materials, Food Beverage more. These reports deliver indepth study market industry analysis, market value regions countries trends pertinent industry. 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https://arynews.tv/en/ai-robot-seoul-restaurant/ | 2020-09-15T00:00:00 | en | Aglio Kim: AI robot serves customers at restaurant - ARY NEWS |
Aglio Kim: AI robot serves customers at restaurant - ARY NEWS
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Aglio Kim: AI robot serves customers at restaurant
Reuters and Anees Hanif
On Sep 15, 2020
“Aglio Kim”, a trolley-like robot which uses artificial intelligence (A.I.), is delivering food to customers at a restaurant in Seoul, in order to minimise human contact and help ensure social distancing.
Shortly after customers order through a touch-screen on the table, the 1.25-meter-tall robot, developed by South Korean telecoms company KT Corp, brings the food and uses its visual SLAM (simultaneous localization and mapping) capabilities to avoid obstacles and navigate around customers.
The robot can deliver food to up to four tables at once, KT’s AI Platform Business Team leader Lee Young-jin told Reuters.
The A.I. robot is equipped with food trays which can carry up to 30 kilograms and an LCD screen and speaker that communicate in both Korean and English.
“Customers found the robot serving quite unique and interesting, and also felt safe from the coronavirus,” said Lee Young-ho, a manager at the Mad for Garlic restaurant which has tested the robot this month.
From Monday, restaurants and cafes in the densely populated Seoul metropolitan area are allowed to open after 9 p.m., but must leave two metres between tables and record patrons’ names and contact details.
The Korea Disease Control and Prevention Agency (KDCA) reported 106 new coronavirus cases as of Monday, bringing its total number of infections to 22,391 with 367 deaths.
KT said that they aim to supply more robots for restaurants this year and will unveil a second model with A.I. voice recognition technology early next year.
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| Aglio Kim: AI robot serves customers at restaurant | Aglio Kim: AI robot serves customers restaurant ARY NEWS The news side. ARY NEWS Har Lamha Bakhabar HOME PAKISTAN INTERNATIONAL BUSINESS SPORTS SCI TECH TV SHOWS LIFESTYLE HEALTH OFF BEAT MULTIMEDIA BLOGS Latest News Kashmir IPP INQUIRY REPORT CORONAVIRUS Polio Aglio Kim: AI robot serves customers restaurant Reuters Anees Hanif On Sep 15, 2020 Aglio Kim, trolleylike robot uses artificial intelligence A.I., delivering food customers restaurant Seoul, order minimise human contact help ensure social distancing. Shortly customers order touchscreen table, 1.25metertall robot, developed South Korean telecoms company KT Corp, brings food uses visual SLAM simultaneous localization mapping capabilities avoid obstacles navigate customers. The robot deliver food tables once, KTs AI Platform Business Team leader Lee Youngjin told Reuters. The A.I. robot equipped food trays carry 30 kilograms LCD screen speaker communicate Korean English. Customers robot serving unique interesting, felt safe coronavirus, said Lee Youngho, manager Mad Garlic restaurant tested robot month. From Monday, restaurants cafes densely populated Seoul metropolitan area allowed open 9 p.m., leave metres tables record patrons names contact details. The Korea Disease Control Prevention Agency KDCA reported 106 new coronavirus cases Monday, bringing total number infections 22,391 367 deaths. KT said aim supply robots restaurants year unveil second model A.I. voice recognition technology early year. Comments comments You like Uncategorized Chinas COVID19 vaccine ready public November ScienceTechnology Apple expected unveil updates Watches, iPads Lifestyle Facebook lets friends watch shows apart Business US govt confirms receiving Oracle bid TikTok Prev Next ARY NEWS URDU : 2 : Pakistan Accused Marwah rapecummurder case confess crime PM Imran Khan lays foundation stone Ravi Riverfront project Indus River drops Low Flood Sukkur, Kotri barrages Lahores Gujjar Pura safe heaven outlaws Poll Which PTI government initiative years termed best? Ehsaas Program Pakistan Citizen Portal Kamyab Jawan Program ResultsVote Must Read PM Imran Khan lays foundation stone Ravi Riverfront project Indus River drops Low Flood Sukkur, Kotri barrages Arbaeen: PIA announces schedule special flights Baghdad, Najaf Low Pressure southern Sindh unleash rain: PMD SECTIONS PAKISTAN INTERNATIONAL BUSINESS SPORTS ENTERTAINMENT HEALTH MULTIMEDIA SCIENCE TECHNOLOGY INTERACTIVE LIVE STREAM VIDEOS ARY BLOGS PHOTO GALLERY MOBILE APPS CORPORATE FEEDBACK CONTACT US ABOUT US CAREER TERMS CONDITIONS GET APP ARY News mobile apps keeps updated trending news stories world. ARY NETWORKS COPYRIGHT 2020 ARYNEWS.tv. ALL RIGHTS RESERVED. | 2,020 | [
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https://www.bccourier.com/global-urinary-drainage-bags-market-report-with-growth-and-business-strategies-forecast-2020-2026-bard-medical-cook-medical-coloplast-pahsco-flexicare-medical/ | 2020-03-28T00:00:00 | en | Global Urinary Drainage Bags Market Report With Growth and Business Strategies Forecast 2020-2026 | Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical – Bandera County Courier |
Global Urinary Drainage Bags Market Report With Growth and Business Strategies Forecast 2020-2026 | Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical – Bandera County Courier
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Home/Health/Global Urinary Drainage Bags Market Report With Growth and Business Strategies Forecast 2020-2026 | Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical
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Global Urinary Drainage Bags Market Report With Growth and Business Strategies Forecast 2020-2026 | Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical
Cameron Patel
March 26, 2020
The Global Urinary Drainage Bags Market report consolidates in-depth estimate of the competitive landscape, Urinary Drainage Bags product market sizing, product benchmarking, latest technology trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. The Urinary Drainage Bags market has been broken down into various segments, regions, end-uses and players to provide a clear picture of the present market situation to the readers. In addition, the macro- and microeconomic aspects are also included in the research. Along with an in-depth commentary on the key influencing factors, market statistics in terms of revenues, market segment-wise data, region-wise data, and country-wise data are offered in the full study.
The Urinary Drainage Bags market examination study weighs both the history and the future trends in order to offer business owners, stakeholders, and marketing executives an opportunity within they can refine and strengthen their marketing strategy and increase sales. Moreover, the report adds products that are currently in demand and available in the market. This market study provides details regarding each product like the cost breakup, import/export scheme, manufacturing volume, price, gross, growth ratio, investments, and contribution to the global Urinary Drainage Bags market revenue. The research study encompasses fundamental points of the global Urinary Drainage Bags market, from future prospects to the competitive scenario, extensively. The DROT and Porter’s Five Forces analyses provides a deep explanation of the factors affecting the growth of Urinary Drainage Bags market.
Request for Sample Report @ https://www.industryandresearch.com/report/Global-Urinary-Drainage-Bags-Market-Analysis-2015-2019-and-Forecast-2020-2025/186289#samplereport
The prediction for CAGR is also mentioned in the report in percentage for the forecasted period. This will boost the user to make significant preference based on predicted chart. Manufacturing revenue and quantity (volume) are the two dominant ingredients on which the size of the worldwide market is measured in this report. This research is categorized differently considering the various aspects of this market. It also evaluates the current situation and the future of the market by using the forecast horizon. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Urinary Drainage Bags Market research report include SWOT analysis. Additionally, to this, the report provides data on the restraints negatively impacting the markets growth. The report includes valuable information to assist new entrants, as well as established players, to understand the prevailing trends in the Market.
Competitor Insights Urinary Drainage Bags Market:
The Urinary Drainage Bags market is moderately consolidated. Some of the key players in the market include Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical, Medline, Asid Bonz, Plasti-Med, Sarstedt, Securmed, Boomingshing Medical, Amico, Rochester Medical, Amsino International Inc. With a complete study of the growth opportunities for the companies, the Urinary Drainage Bags market revenue throughout the forecast period.
Urinary Drainage Bags Industry Segmentation:
Urinary Drainage Bags Market: Regional Analysis:
This section of the report contains detailed information on the market in different regions. Each region offers a different market size because each state has different government policies and other factors. The regions included in the report are North America, Europe, Asia Pacific, the Middle East and Africa. Information about the different regions helps the reader to better understand the global market.
For product type segment, this report listed the main product type of market: 500ml, 750ml, 1000ml, 2000ml, 4000ml, Others
For the End use-Application segment, this market report concentrates on the situation and opportunity for key applications. End users have also listed Hospitals, Clinics, Home Care, Others
For the Urinary Drainage Bags Market research study, the following years have been considered to estimate the market size:
Historic Year: 2015 to 2019 | Base Year: 2019 |Business Revenue Forecast Year: 2020-2026
The study objectives of this report are:
1. The report provides key statistics on the market status of the Urinary Drainage Bags manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2. The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3. The report presents the company profile, product specifications, capacity, production value, and 2015-2019 market shares for key vendors.
4. The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5. The report estimates 2020-2026 market development trends of Urinary Drainage Bags industry.
6. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7. The report makes some important proposals for a new project of Urinary Drainage Bags Industry before evaluating its feasibility.
Key questions answered
• Who are the Leading key players and what are their Key Business plans in the Global Urinary Drainage Bags market?
• What are the key concerns of the five forces analysis of the Global Urinary Drainage Bags market?
• What are different prospects and threats faced by the dealers in the Global Urinary Drainage Bags market?
• What are the strengths and weaknesses of the key vendors?
Key Benefits
– Major countries in each region are mapped according to individual market revenue.
– Comprehensive analysis of factors that drive and restrict the market growth is provided.
– The report includes an in-depth analysis of current research and clinical developments within the market.
– Key players and their key developments in the recent years are listed.
This market research study provides a detailed qualitative and quantitative analysis of the Global Urinary Drainage Bags Market 2020-2026. It provides a comprehensive review of major drivers and restraints of the market. The primary sources, experts from related industries and suppliers, have been interviewed to obtain and verify critical information as well as to assess the future prospects of Global Urinary Drainage Bags Market 2020-2026.
Browse full report @ https://www.industryandresearch.com/report/Global-Urinary-Drainage-Bags-Market-Analysis-2015-2019-and-Forecast-2020-2025/186289
The next part also sheds light on the gap between supply and consumption. Apart from the mentioned information,growth rate of Urinary Drainage Bags market in 2026 is also explained. Additionally, type wise and application wise consumption tables and figures of Urinary Drainage Bags market are also given.
In conclusion, Global Urinary Drainage Bags Market report gives the detailed study of the parent market depend on best players, present, historic and forthcoming period information which will offer as a beneficial guide for all the Urinary Drainage Bags Market entrant.
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TagsGlobal Urinary Drainage Bags Market 2020 Urinary Drainage Bags Urinary Drainage Bags Market Insight Urinary Drainage Bags Market Research
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| Global Urinary Drainage Bags Market Report With Growth and Business Strategies Forecast 2020-2026 | Global Urinary Drainage Bags Market Report With Growth Business Strategies Forecast 20202026 Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical Bandera County Courier Saturday, March 28 2020 Trending Propanol Market: 2019 Insights, Status, Latest Amendments Outlook2025 Polymer Concrete Market: 2019 Insights, Status, Latest Amendments Outlook2025 PET Preforms Market Industry Trends Forecast 2027 Nanocomposites Market: 2019 Insights, Status, Latest Amendments Outlook2025 Methyl Acrylate Market: 2019 Insights, Status, Latest Amendments Outlook2025 Metering Pumps Market: 2019 Insights, Status, Latest Amendments Outlook2025 Coated Fabrics Market: 2019 Insights, Status, Latest Amendments Outlook2025 Ceramic Fiber Market: 2019 Insights, Status, Latest Amendments Outlook2025 Calcium Phosphate Market: 2019 Insights, Status, Latest Amendments Outlook2025 Butyric Acid Market: 2019 Insights, Status, Latest Amendments Outlook2025 Bandera County Courier Business Health Science Technology World HomeHealthGlobal Urinary Drainage Bags Market Report With Growth Business Strategies Forecast 20202026 Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical Health Global Urinary Drainage Bags Market Report With Growth Business Strategies Forecast 20202026 Bard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical Cameron Patel March 26, 2020 The GlobalUrinary Drainage BagsMarket report consolidates indepth estimate competitive landscape, Urinary Drainage Bags product market sizing, product benchmarking, latest technology trends, product developments, financial analysis, strategic analysis gauge impact forces potential opportunities market. The Urinary Drainage Bags market broken segments, regions, enduses players provide clear picture present market situation readers. In addition, macro microeconomic aspects included research. Along indepth commentary key influencing factors, market statistics terms revenues, market segmentwise data, regionwise data, countrywise data offered study. The Urinary Drainage Bags market examination study weighs history future trends order offer business owners, stakeholders, marketing executives opportunity refine strengthen marketing strategy increase sales. Moreover, report adds products currently demand available market. This market study provides details product like cost breakup, importexport scheme, manufacturing volume, price, gross, growth ratio, investments, contribution global Urinary Drainage Bags market revenue. The research study encompasses fundamental points global Urinary Drainage Bags market, future prospects competitive scenario, extensively. The DROT Porters Five Forces analyses provides deep explanation factors affecting growth Urinary Drainage Bags market. Request Sample Report @ The prediction CAGR mentioned report percentage forecasted period. This boost user significant preference based predicted chart. Manufacturing revenue quantity volume dominant ingredients size worldwide market measured report. This research categorized differently considering aspects market. It evaluates current situation future market forecast horizon. The forecast analyzed based volume revenue market. The tools analyzing Global Urinary Drainage Bags Market research report include SWOT analysis. Additionally, this, report provides data restraints negatively impacting markets growth. The report includes valuable information assist new entrants, established players, understand prevailing trends Market. Competitor Insights Urinary Drainage Bags Market: The Urinary Drainage Bags market moderately consolidated. Some key players market includeBard Medical, Cook Medical, Coloplast, Pahsco, Flexicare Medical, Medline, Asid Bonz, PlastiMed, Sarstedt, Securmed, Boomingshing Medical, Amico, Rochester Medical, Amsino International . With complete study growth opportunities companies, Urinary Drainage Bags market revenue forecast period. Urinary Drainage Bags Industry Segmentation: Urinary Drainage Bags Market: Regional Analysis: This section report contains detailed information market different regions. Each region offers different market size state different government policies factors. The regions included report areNorth America, Europe, Asia Pacific, Middle East Africa.Information different regions helps reader better understand global market. For product type segment, report listed main product type market:500ml, 750ml, 1000ml, 2000ml, 4000ml, Others For End useApplication segment, market report concentrates situation opportunity key applications. End users listedHospitals, Clinics, Home Care, Others For Urinary Drainage Bags Market research study, following years considered estimate market size: Historic Year: 2015 2019Base Year: 2019Business Revenue Forecast Year: 20202026 The study objectives report are: 1. The report provides key statistics market status Urinary Drainage Bags manufacturers valuable source guidance direction companies individuals interested industry. 2. The report provides basic overview industry including definition, applications manufacturing technology. 3. The report presents company profile, product specifications, capacity, production value, 20152019 market shares key vendors. 4. The total market divided company, country, applicationtype competitive landscape analysis. 5. The report estimates 20202026 market development trends Urinary Drainage Bags industry. 6. Analysis upstream raw materials, downstream demand, current market dynamics carried 7. The report makes important proposals new project Urinary Drainage Bags Industry evaluating feasibility. Key questions answered Who Leading key players Key Business plans Global Urinary Drainage Bags market? What key concerns forces analysis Global Urinary Drainage Bags market? What different prospects threats faced dealers Global Urinary Drainage Bags market? What strengths weaknesses key vendors? Key Benefits Major countries region mapped according individual market revenue. Comprehensive analysis factors drive restrict market growth provided. The report includes indepth analysis current research clinical developments market. Key players key developments recent years listed. This market research study provides detailed qualitative quantitative analysis Global Urinary Drainage Bags Market 20202026. It provides comprehensive review major drivers restraints market. The primary sources, experts related industries suppliers, interviewed obtain verify critical information assess future prospects Global Urinary Drainage Bags Market 20202026. Browse report @ The sheds light gap supply consumption. Apart mentioned information,growth rate Urinary Drainage Bags market 2026 explained. Additionally, type wise application wise consumption tables figures Urinary Drainage Bags market given. In conclusion, Global Urinary Drainage Bags Market report gives detailed study parent market depend best players, present, historic forthcoming period information offer beneficial guide Urinary Drainage Bags Market entrant. Request customize: If wish details report want Customization Please contacts us. You detailed entire research here. Us @sales TagsGlobal Urinary Drainage Bags Market 2020 Urinary Drainage Bags Urinary Drainage Bags Market Insight Urinary Drainage Bags Market Research Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print Cameron Patel Related Articles March 4, 2020 1 Global Methylal Market Current Analysis Estimated Forecast 2026 INEOS, Kuraray, Lambiotte, Chemofarbe, LCY Chemical March 19, 2020 10 Global Food Automation Market Strategic Assessment SWOT Analysis 20202026 Mitsubishi Electric Corporation, ABB Ltd, Rockwell Automation March 16, 2020 8 Industry Trend On Global Wireless Network Security Market surge Market Growth Is Getting Started 2024 Cisco Systems, Aruba Networks HPE February 18, 2020 3 Industry Trend On Sulphur Hexafluoride Market Global Research Report 2020 Global Analysis Forecasts To 2026 SolvayPraxairHoneywell Recent Posts Business Global Automotive Noise Vibration Harshness NVH Materials Market Growth Projections Forecast 2026 Creative Foam Corporation, BRC Rubber Plastics ., Wolverine Advanced Materials March 27, 2020 Business Global Biodiesel Fuel Market Business Scope Industry Trends 20202026 Neste Oil Rotterdam, Diester Industries, ADM, Bionor, Infinita Renovables, Biopetrol, Cargill March 27, 2020 Technology Global Intelligent Gas Meter Market Future Aspect Analysis 20202026 Elster Group GmbH, Itron, Flonidan, LandisGyr, Sensus, Apator Group, ZENNER, Diehl Metering March 27, 2020 Business Global Automotive Fuel Systems Market Business Scope Industry Trends 20202026 Continental, Delphi, Denso, Robert Bosch, Hitachi, Aisin, BorgWarner, Cummins March 27, 2020 Business Global Yeast Ingredients Market SWOT Analysis Strategic Assessment 20202026 F. 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Schulman, Polyone, Ampacet, Polyplast Mller, Plastika Kritis, Plastiblends March 27, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In | 2,020 | [
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] | 1 | POSITIVE | 408 |
https://newsfinancialanalyst.com/global-ai-in-medical-imaging-market-professional-survey-segment-analysis-and-industry-key-players-general-electric-ibm-watson-health-philips-healthcare-samsung-2019-2024/ | 2020-03-25T00:00:00 | en | Global AI In Medical Imaging Market Professional Survey, Segment Analysis and Industry Key Players – General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG | 2019-2024 – Financial Analyst |
Global AI In Medical Imaging Market Professional Survey, Segment Analysis and Industry Key Players – General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG | 2019-2024 – Financial Analyst
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Global AI In Medical Imaging Market Professional Survey, Segment Analysis and Industry Key Players – General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG | 2019-2024
March 25, 2020 wiseguyreports Finance Comments Off on Global AI In Medical Imaging Market Professional Survey, Segment Analysis and Industry Key Players – General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG | 2019-2024
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Wiseguyreports.Com Adds “AI In Medical Imaging 2019-2024 Global Market Survey Industry Key Players – General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG” To Its Research Database
AI In Medical Imaging Market 2019-2024
Description: –
This report presents a study of the AI In Medical Imaging market for the review period 2019-2024. It also includes a market factor analysis comprising Porter’s five-factor analysis and supply chain analysis. A segmental breakdown of the market is added for a deeper understanding of the market mechanism.
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Drivers and Restraints:
Every key micro and macroeconomic factor has been assessed in this report for throwing light on the drivers an restraints. Quantification of the magnitude of impact of these factors on the market valuation is also included in the report for keeping the client ahead of the curve.
Regional Description:
The regions covered for providing an exhaustive study of the AI In Medical Imaging market are – South America, Europe, Asia Pacific, North America, and the Middle East & Africa. In addition, the study also includes an assessment of the market on a country-level basis for highlighting the opportunities and threats.
Method of Research:
Cutting edge algorithms and research methodologies are leveraged for the extrapolation of market shifts. A detailed research method (including both primary & secondary) has been undertaken for the collection of data. The primary sources include interviews with top-level executives across the value chain (CEOs, VPs, MDs, etc.), surveys, questionnaires, etc. And, the secondary sources referred to are SEC filings, whitepaper references, published reports, governments documents, etc. The collected data is passed through a multi-layer verification process for assuring the quality of the insight offered. Top-down and bottom-up approaches are utilized for ensuring the authenticity and credibility of the valuations of the markets and segments.
For Detailed Report Visit @ https://www.wiseguyreports.com/reports/4259657-global-ai-in-medical-imaging-market-2019-by
Key Players:
The noted participants of the market have been studied in detail in this report for covering an in-depth share analysis of the AI In Medical Imaging market. The analysis includes an assessment of the growth strategies implemented by these players in the market. Some of these strategies are mergers & acquisition, collaboration, rising investments, partnership, product portfolio development, etc. In addition, the increasing research & development activities are further expected to impact the growth of the AI In Medical Imaging market favorably in the forthcoming years.
Major Key Points in Table of Content:
1 Market Overview
2 Manufacturers Profiles
3 Global AI In Medical Imaging Sales, Revenue, Market Share and Competition by Manufacturer (2017-2018)
4 Global AI In Medical Imaging Market Analysis by Regions
…………….
12 AI In Medical Imaging Market Forecast (2019-2024)
General Electric
IBM Watson Health
Philips Healthcare
SAMSUNG
Medtronic
EchoNous
Enlitic
Siemens Healthcare
Intel
NVIDIA
Continued…...
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| Global AI In Medical Imaging Market Professional Survey, Segment Analysis and Industry Key Players | Global AI In Medical Imaging Market Professional Survey, Segment Analysis Industry Key Players General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG 20192024 Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Global AI In Medical Imaging Market Professional Survey, Segment Analysis Industry Key Players General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG 20192024 March 25, 2020 wiseguyreports Finance Comments Off Global AI In Medical Imaging Market Professional Survey, Segment Analysis Industry Key Players General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG 20192024 Summary Wiseguyreports.Com Adds AI In Medical Imaging 20192024 Global Market Survey Industry Key Players General Electric, IBM Watson Health, Philips Healthcare, SAMSUNG To Its Research Database AI In Medical Imaging Market 20192024 Description: This report presents study AI In Medical Imaging market review period 20192024. It includes market factor analysis comprising Porters fivefactor analysis supply chain analysis. A segmental breakdown market added deeper understanding market mechanism. Free Sample Report @ Drivers Restraints: Every key micro macroeconomic factor assessed report throwing light drivers restraints. Quantification magnitude impact factors market valuation included report keeping client ahead curve. Regional Description: The regions covered providing exhaustive study AI In Medical Imaging market South America, Europe, Asia Pacific, North America, Middle East Africa. In addition, study includes assessment market countrylevel basis highlighting opportunities threats. Method Research: Cutting edge algorithms research methodologies leveraged extrapolation market shifts. A detailed research method including primary secondary undertaken collection data. The primary sources include interviews toplevel executives value chain CEOs, VPs, MDs, etc., surveys, questionnaires, etc. And, secondary sources referred SEC filings, whitepaper references, published reports, governments documents, etc. The collected data passed multilayer verification process assuring quality insight offered. Topdown bottomup approaches utilized ensuring authenticity credibility valuations markets segments. For Detailed Report Visit @ Key Players: The noted participants market studied report covering indepth share analysis AI In Medical Imaging market. The analysis includes assessment growth strategies implemented players market. Some strategies mergers acquisition, collaboration, rising investments, partnership, product portfolio development, etc. In addition, increasing research development activities expected impact growth AI In Medical Imaging market favorably forthcoming years. Major Key Points Table Content: 1 Market Overview 2 Manufacturers Profiles 3 Global AI In Medical Imaging Sales, Revenue, Market Share Competition Manufacturer 20172018 4 Global AI In Medical Imaging Market Analysis Regions . 12 AI In Medical Imaging Market Forecast 20192024 General Electric IBM Watson Health Philips Healthcare SAMSUNG Medtronic EchoNous Enlitic Siemens Healthcare Intel NVIDIA Continued... 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https://thedailychronicle.in/news/221408/artificial-intelligence-in-insurance-market-statistics-opportunities-demand-forecast-to-2025-study-with-covid-19-impact-amazon-web-services-inc-avaamo-cape-analytics-llcibm-lemonade-inc/ | 2020-08-15T00:00:00 | en | Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | study with covid-19 impact Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft – The Daily Chronicle |
Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | study with covid-19 impact Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft – The Daily Chronicle
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Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | study with covid-19 impact Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft
Home / Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | study with covid-19 impact Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft
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Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | study with covid-19 impact Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft
By premiummarketinsights
15th August 2020
The artificial intelligence in insurance is disrupting every step across the insurance value chain. AI technologies such as deep learning and machine learning, machine vision, natural language processing (NLP), and robotic automation have the capability to reimagine the entire insurance lifecycle from customer acquisition to claims processing. The adoption of artificial intelligence in insurance helps insurance companies to drive operational excellence, remain competitive in the market, and boost growth. Premium Market insights much awaited study on Artificial Intelligence in Insurance market was recently released. It uses exploratory techniques like qualitative and quantitative analysis to uncover and present data on the target market. Efficient sales strategies have been mentioned that would business and multiply customers in record time.
“Artificial Intelligence in Insurance Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market”.
Get Sample Copy of This Report: https://www.premiummarketinsights.com/sample/TIP00027028
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.
Top Key Players Profiled in This Report:
Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC,IBM, Lemonade, Inc., Microsoft, Osp Labs Pvt Ltd, Shift Technology, Trov Insurance Solutions
The key questions answered in this report:
What will be the Market Size and Growth Rate in the forecast year?
What are the Key Factors driving Artificial Intelligence in Insurance Market?
What are the Risks and Challenges in front of the market?
Who are the Key Vendors in Artificial Intelligence in Insurance Market?
What are the Trending Factors influencing the market shares?
What is the Key Outcomes of Porter’s five forces model?
Which are the Global Opportunities for Expanding the Artificial Intelligence in Insurance Market?
Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence in Insurance market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Artificial Intelligence in Insurance market’s trajectory between forecast periods.
Enquire for discount, Ask Our Experts: https://www.premiummarketinsights.com/discount/TIP00027028
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 Artificial Intelligence in Insurance Market.
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 Artificial Intelligence in Insurance Market along with business profiles of several stakeholders.
It offers massive data about trending factors that will influence the progress of the Artificial Intelligence in Insurance Market.
Fundamentals of Table of Content:
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Artificial Intelligence in Insurance Market Size
2.2 Artificial Intelligence in Insurance Growth Trends by Regions
2.3 Industry Trends
3 Market Share by Key Players
3.1 Artificial Intelligence in Insurance Market Size by Manufacturers
3.2 Artificial Intelligence in Insurance Key Players Head office and Area Served
3.3 Key Players Artificial Intelligence in Insurance Product/Solution/Service
3.4 Date of Enter into Artificial Intelligence in Insurance Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Product
4.1 Global Artificial Intelligence in Insurance Sales by Product
4.2 Global Artificial Intelligence in Insurance Revenue by Product
4.3 Artificial Intelligence in Insurance Price by Product
5 Breakdown Data by End User
5.1 Overview
5.2 Global Artificial Intelligence in Insurance Breakdown Data by End User
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| Artificial Intelligence in Insurance market statistics, opportunities, demand, forecast to 2025 | Artificial Intelligence Insurance market statistics, opportunities, demand, forecast 2025 study covid19 impact Amazon Web Services, ., Avaamo, Cape Analytics, LLC,IBM, Lemonade, ., Microsoft The Daily Chronicle Skip contentSkip content The Daily Chronicle Toggle navigation Energy NASA Satellite Space News Artificial Intelligence Insurance market statistics, opportunities, demand, forecast 2025 study covid19 impact Amazon Web Services, ., Avaamo, Cape Analytics, LLC,IBM, Lemonade, ., Microsoft Home Artificial Intelligence Insurance market statistics, opportunities, demand, forecast 2025 study covid19 impact Amazon Web Services, ., Avaamo, Cape Analytics, LLC,IBM, Lemonade, ., Microsoft News Artificial Intelligence Insurance market statistics, opportunities, demand, forecast 2025 study covid19 impact Amazon Web Services, ., Avaamo, Cape Analytics, LLC,IBM, Lemonade, ., Microsoft By premiummarketinsights 15th August 2020 The artificial intelligence insurance disrupting step insurance value chain. AI technologies deep learning machine learning, machine vision, natural language processing NLP, robotic automation capability reimagine entire insurance lifecycle customer acquisition claims processing. The adoption artificial intelligence insurance helps insurance companies drive operational excellence, remain competitive market, boost growth. Premium Market insights awaited study Artificial Intelligence Insurance market recently released. It uses exploratory techniques like qualitative quantitative analysis uncover present data target market. Efficient sales strategies mentioned business multiply customers record time. Artificial Intelligence Insurance Market growing High CAGR forecast period 20202026. The increasing individuals industry major reason expansion market. Get Sample Copy This Report: Note In order provide accurate market forecast, reports updated delivery considering impact COVID19. Top Key Players Profiled This Report: Amazon Web Services, ., Avaamo, Cape Analytics, LLC,IBM, Lemonade, ., Microsoft, Osp Labs Pvt Ltd, Shift Technology, Trov Insurance Solutions The key questions answered report: What Market Size Growth Rate forecast year? What Key Factors driving Artificial Intelligence Insurance Market? What Risks Challenges market? Who Key Vendors Artificial Intelligence Insurance Market? What Trending Factors influencing market shares? What Key Outcomes Porters forces model? Which Global Opportunities Expanding Artificial Intelligence Insurance Market? Various factors responsible markets growth trajectory, studied length report. In addition, report lists restraints posing threat global Artificial Intelligence Insurance market. It gauges bargaining power suppliers buyers, threat new entrants product substitute, degree competition prevailing market. The influence latest government guidelines analyzed report. It studies Artificial Intelligence Insurance markets trajectory forecast periods. Enquire discount, Ask Our Experts: Reasons buying report: It offers analysis changing competitive scenario. For making informed decisions businesses, offers analytical data strategic planning methodologies. It offers sevenyear assessment Artificial Intelligence Insurance Market. It helps understanding major key product segments. Researchers throw light dynamics market drivers, restraints, trends, opportunities. It offers regional analysis Artificial Intelligence Insurance Market business profiles stakeholders. It offers massive data trending factors influence progress Artificial Intelligence Insurance Market. Fundamentals Table Content: 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered 1.4 Market Analysis Type 1.5 Market Application 1.6 Study Objectives 1.7 Years Considered 2 Global Growth Trends 2.1 Artificial Intelligence Insurance Market Size 2.2 Artificial Intelligence Insurance Growth Trends Regions 2.3 Industry Trends 3 Market Share Key Players 3.1 Artificial Intelligence Insurance Market Size Manufacturers 3.2 Artificial Intelligence Insurance Key Players Head office Area Served 3.3 Key Players Artificial Intelligence Insurance ProductSolutionService 3.4 Date Enter Artificial Intelligence Insurance Market 3.5 Mergers Acquisitions, Expansion Plans 4 Breakdown Data Product 4.1 Global Artificial Intelligence Insurance Sales Product 4.2 Global Artificial Intelligence Insurance Revenue Product 4.3 Artificial Intelligence Insurance Price Product 5 Breakdown Data End User 5.1 Overview 5.2 Global Artificial Intelligence Insurance Breakdown Data End User Us: Call: 912067274191 Email: [emailprotected] About Premiummarketinsights: 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. Recent Posts Flexible High Temperature Hoses Market Is Evenly Poised To Reach A Market Value Of US XX MnBn By 2016 2026 Mounting Prices Coupled With Onset Costeffective Alternatives Fuel Growth Savory Flavor Market 2019 2029 reasing Government Investments Favorable Policies Aid Growth Phycobiliprotein Conjugates Market 2017 2025 Wind Turbine Pitch System Market Forecasted To Surpass The Value Of US XX MnBn By 2017 2025 Confectionery Panning Products Market Is Evenly Poised To Reach A Market Value Of US XX MnBn By 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 | 2,020 | [
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https://www.clickondetroit.com/health/2020/09/23/mit-professor-wins-top-ai-award-for-cancer-drug-research/ | 2020-09-23T00:00:00 | en | MIT professor wins top AI award for cancer, drug research | MIT professor wins top AI award for cancer, drug research
64ºFJoin InsiderJoin InsiderSearchNewsWatch LiveReturn to SchoolMeet The TeamReopening MichiganCoronavirusCOVID-19 DataHelp Me HankGood HealthLocal NewsNationalWorldDefendersCommunityPoliticsDecision 2020Trust IndexFlashpointEntertainmentEnvironmentStop The TraffickingSportsRed WingsPistonsLionsWolverinesSpartans4FrenzyBenchedTigersBob Krause GolfFeaturesNational Black Business Month4YI4 LiveVote 4 The BestAll 4 PetsSomething GoodStyleWiseTaking Off TravelHispanic Heritage MonthTasty TuesdayMoney MondayBrag BookFitness FridayIn The DFoodTV ListingsContestsMeTV DetroitSunshine AwardsWhite Boy RickLive In The DUniquely DetroitDine In The DEvents Live GuideWhat's The BuzzAnn ArborWeatherWeather CenterAlertsWeather NewsStormPinsSchool Closings4ZONE - Metro4ZONE - North4ZONE - South4ZONE - WestTrafficRoad Construction UpdatesLive Traffic MapNewslettersContact UsNewsSportsFeaturesLive In The DAnn ArborWeatherTrafficNewslettersContact UsNewsSportsFeaturesLive In The DAnn ArborWeatherTrafficNewslettersContact UsLIVE64ºFJoin InsiderHealthAssociated PressPublished: September 23, 2020, 10:08 amUpdated: September 23, 2020, 10:39 amTags: Business, TechnologySign up for our NewslettersLatest News21 minutes agoReal Pet Food Company recalls dog food due to possible salmonella contamination34 minutes ago15-year-old Detroit boy missing for days 36 minutes agoMcDonalds, Detroit Praise Network seek city’s next Gospel singing star1 hour agoClickOnDetroit Morning Briefing -- Sept. 23, 2020HealthMIT professor wins top AI award for cancer, drug researchAssociated PressPublished: September 23, 2020, 10:08 amUpdated: September 23, 2020, 10:39 amTags: Business, TechnologyFILE - In this April 3, 2017 file photo, students walk past the "Great Dome" atop Building 10 on the Massachusetts Institute of Technology campus in Cambridge, Mass. The worlds biggest AI society awarded its top prize Wednesday, Sept. 23, 2020, to Regina Barzilay, a professor at MITs Computer Science and Artificial Intelligence Laboratory. MIT says Barzilay is a breast cancer survivor whose 2014 diagnosis led her to shift her machine-learning work to creating systems for drug development and early cancer diagnosis. (AP Photo/Charles Krupa, File) (Copyright 2018 The Associated Press. All rights reserved.)CAMBRIDGE, Mass. – A Massachusetts Institute of Technology professor using computer science to detect cancer and discover new drugs has won a new $1 million award for artificial intelligence.The world's biggest AI society awarded its top prize Wednesday to Regina Barzilay, a professor at MIT's Computer Science and Artificial Intelligence Laboratory.MIT says Barzilay is a breast cancer survivor whose 2014 diagnosis led her to shift her AI work to creating systems for drug development and early cancer diagnosis. Her early diagnosis tool has been tested in multiple hospitals, including Boston's Massachusetts General Hospital and others in Taiwan and Sweden.She's the inaugural winner of the new annual award given by the Association for the Advancement of Artificial Intelligence and funded by Chinese online education company Squirrel AI. It's meant to elevate AI advancements to the level of a Nobel Prize or computer science's Turing Award, while also highlighting AI research that benefits society. Copyright 2020 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without permission.TV ListingsContests and RulesEmail NewslettersRSS FeedsClosed CaptioningContact UsCareers at WDIVTerms of UsePrivacy PolicyPublic FileDo Not Sell My InfoFollow UsfacebooktwitterinstagramsnapchatrssGet Results with OmneIf you need help with the Public File, call (313) 222-0566.Copyright © 2020 ClickOnDetroit.com is managed by Graham Digital and pubished by Graham Media Group, a division of Graham Holdings. | MIT professor wins top AI award for cancer, drug research | MIT professor wins AI award cancer, drug research 64FJoin InsiderJoin InsiderNewsWatch LiveReturn SchoolMeet The TeamReopening MichiganCoronavirusCOVID19 DataHelp Me HankGood HealthLocal NewsNationalWorldDefendersCommunityPoliticsDecision 2020Trust IndexFlashpointEntertainmentEnvironmentStop The TraffickingSportsRed WingsPistonsLionsWolverinesSpartans4FrenzyBenchedTigersBob Krause GolfFeaturesNational Black Business Month4YI4 LiveVote 4 The BestAll 4 PetsSomething GoodStyleWiseTaking Off TravelHispanic Heritage MonthTasty TuesdayMoney MondayBrag BookFitness FridayIn The DFoodTV ListingsContestsMeTV DetroitSunshine AwardsWhite Boy RickLive In The DUniquely DetroitDine In The DEvents Live GuideWhats The BuzzAnn ArborWeatherWeather CenterAlertsWeather NewsStormPinsSchool Closings4ZONE Metro4ZONE North4ZONE South4ZONE WestTrafficRoad Construction UpdatesLive Traffic MapNewsletters UsNewsSportsFeaturesLive In The DAnn ArborWeatherTrafficNewsletters UsNewsSportsFeaturesLive In The DAnn ArborWeatherTrafficNewsletters UsLIVE64FJoin InsiderHealthAssociated PressPublished:September 23, 2020, 10:08 amUpdated:September 23, 2020, 10:39 amTags:Business, TechnologySign NewslettersLatest News21 minutes agoReal Pet Food Company recalls dog food possible salmonella contamination34 minutes ago15yearold Detroit boy missing days 36 minutes agoMcDonalds, Detroit Praise Network seek citys Gospel singing star1 hour agoClickOnDetroit Morning Briefing Sept. 23, 2020HealthMIT professor wins AI award cancer, drug researchAssociated PressPublished:September 23, 2020, 10:08 amUpdated:September 23, 2020, 10:39 amTags:Business, TechnologyFILE In April 3, 2017 file photo, students walk past Great Dome atop Building 10 Massachusetts Institute Technology campus Cambridge, Mass. The worlds biggest AI society awarded prize Wednesday, Sept. 23, 2020, Regina Barzilay, professor MITs Computer Science Artificial Intelligence Laboratory. MIT says Barzilay breast cancer survivor 2014 diagnosis led shift machinelearning work creating systems drug development early cancer diagnosis. AP PhotoCharles Krupa, File 2018 The Associated Press. .CAMBRIDGE, Mass. A Massachusetts Institute Technology professor science detect cancer discover new drugs new 1 million award artificial intelligence.The worlds biggest AI society awarded prize Wednesday Regina Barzilay, professor MITs Computer Science Artificial Intelligence Laboratory.MIT says Barzilay breast cancer survivor 2014 diagnosis led shift AI work creating systems drug development early cancer diagnosis. Her early diagnosis tool tested multiple hospitals, including Bostons Massachusetts General Hospital Taiwan Sweden.Shes inaugural winner new annual award given Association Advancement Artificial Intelligence funded Chinese online education company Squirrel AI. Its meant elevate AI advancements level Nobel Prize sciences Turing Award, highlighting AI research benefits society. 2020 The Associated Press. . This material published, broadcast, rewritten redistributed permission.TV ListingsContests RulesEmail NewslettersRSS FeedsClosed Captioning UsCareers WDIVTerms UsePublic FileDo Not Sell My InfofacebooktwitterinstagramsnapchatrssGet Results OmneIf need help Public File, 313 2220566. 2020 managed Graham Digital pubished Graham Media Group, division Graham Holdings. | 2,020 | [
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http://www.sbwire.com/press-releases/artificial-intelligence-market-to-see-huge-growth-by-2025-abee-research-labs-eronkan-technologies-1293488.htm | 2020-06-18T00:00:00 | en | Artificial Intelligence Market Analysis & Forecast For Next 5 Years |
Artificial Intelligence Market Analysis & Forecast For Next 5 Years
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Artificial Intelligence Market to See Huge Growth by 2025 : Abee Research Labs, EroNkan Technologies
Artificial Intelligence Market Analysis & Forecast For Next 5 Years
Edison, NJ -- (SBWIRE) -- 06/08/2020 -- Latest published market study on Artificial Intelligence in Indian Manufacturing Industry 2020 with + data Tables, Pie Chart, high level qualitative chapters & Graphs is available now to provide complete assessment of the Market highlighting evolving trends, Measures taken up by players, current-to-future scenario analysis and growth factors validated with View points extracted via Industry experts and Consultants. The study breaks market by revenue and volume (wherever applicable) and price history to estimates size and trend analysis and identifying gaps and opportunities. Some are the players that are in coverage of the study are Abee Research Labs, EroNkan Technologies, Flutura Business Solutions, LivNSense Technologies, Universal Robots (India), Altizon Systems, IBM India etc
Get ready to identify the pros and cons of regulatory framework, local reforms and its impact on the Industry. Know how Leaders in Artificial Intelligence in n Manufacturing are keeping themselves one step forward with our latest survey analysis
Click to get Artificial Intelligence in Indian Manufacturing Market Research Sample PDF Copy Here @: https://www.htfmarketreport.com/sample-report/2585534-artificial-intelligence-in-indian-manufacturing-industry
Major highlights from the Study along with most frequently asked questions:
1) What so unique about this Artificial Intelligence in Indian Manufacturing Assessment?
Market Factor Analysis: In this economic slowdown & due to COVID-19 Outbreak, impact on various industries is huge. Moreover, the growing cases of COVID-19 all across the globe has increased the demand & supply gap as a resultant of sluggish supply chain and production line .
Market Concentration: Includes C4 Index, HHI, Comparative Artificial Intelligence in n Manufacturing Market Share Analysis (Y-o-Y), Major Companies, Emerging Players with Heat Map Analysis
Market Entropy: Randomness of the market highlighting aggressive steps that players are taking to overcome current scenario. Development activity and steps like expansions, technological advancement, M&A, joint ventures, launches are highlighted here.
Patent Analysis: Comparison of patents issued by each players per year.
Peer Analysis: An evaluation of players by financial metrics such as EBITDA, Net Profit, Gross Margin, Total Revenue, Segmented Market Share, Assets etc to understand management effectiveness, operation and liquidity status.
2)Why only few Companies are profiled in the report?
Industry standards like NAICS, ICB etc are considered to derive the most important manufacturers. More emphasis is given on SMEs that are emerging and evolving in the market with their product presence and technological upgraded modes, current version includes players like " Abee Research Labs Pvt. Ltd, EroNkan Technologies Pvt. Ltd, Flutura Business Solutions Pvt. Ltd, LivNSense Technologies Pvt. Ltd, Universal Robots (India) Pvt. Ltd, Altizon Systems Pvt. Ltd. , IBM India Pvt. Ltd."
** Companies reported may vary subject to Name Change / Merger etc.
Browse for Full Report at @: https://www.htfmarketreport.com/reports/2585534-artificial-intelligence-in-indian-manufacturing-industry
3) What details will competitive landscape will provide?
A value proposition chapter to gauge Artificial Intelligence in n Manufacturing market. 2-Page profiles of all listed company with 3 to 5 years financial data to track and comparison of business overview, product specification etc.
** Depending upon the requirement the deliverable time may vary.
To comprehend Artificial Intelligence in Indian Manufacturing market dynamics in the world mainly, the worldwide Artificial Intelligence in n Manufacturing market is analyzed across major global regions. Customized study by specific regional or country can be provided, usually client prefers below
- North America: United States of America (US), Canada, and Mexico.
- South & Central America: Argentina, Chile, Colombia and Brazil.
- Middle East & Africa: Kingdom of Saudi Arabia, United Arab Emirates, Turkey, Israel, Egypt and South Africa.
- Europe: the UK, France, Italy, Germany, Spain, NORDICs, BALTIC Countries, Russia, Austria and Rest of Europe.
- Asia: India, China, Japan, South Korea, Taiwan, Southeast Asia (Singapore, Thailand, Malaysia, Indonesia, Philippines & Vietnam etc) & Rest
- Oceania: Australia & New Zealand
Enquire for customization in Report @ https://www.htfmarketreport.com/enquiry-before-buy/2585534-artificial-intelligence-in-indian-manufacturing-industry
For deep analysis of Artificial Intelligence in n Manufacturing Market Size, Competition Analysis is provided which includes Revenue (M USD) by Players (2018-2019) & Market Share (%) by Players (2018-2019) complimented with concentration rate.
Complete Purchase of Artificial Intelligence in Indian Manufacturing Report 2020 at Revised Offered Price @ https://www.htfmarketreport.com/buy-now?format=1&report=2585534
Actual Numbers & In-Depth Analysis of Artificial Intelligence in Indian Manufacturing Market Size Estimation and Trends Available in Full Version of the Report.
Thanks for reading this article, you can also make sectional purchase or opt-in for regional report by limiting the scope to only North America, ANZ, Europe or MENA Countries, Eastern Europe or European Union.
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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".
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| Artificial Intelligence Market Analysis & Forecast For Next 5 Years | Artificial Intelligence Market Analysis Forecast For Next 5 Years SBWire Sign Up Our Service Plans Pricing Newsroom Help About HTF Market Intelligence Consulting Private Limited Email Alerts RSS Artificial Intelligence Market See Huge Growth 2025 : Abee Research Labs, EroNkan Technologies Artificial Intelligence Market Analysis Forecast For Next 5 Years Edison, NJ SBWIRE 06082020 Latest published market study Artificial Intelligence Indian Manufacturing Industry 2020 data Tables, Pie Chart, high level qualitative chapters Graphs available provide complete assessment Market highlighting evolving trends, Measures taken players, currenttofuture scenario analysis growth factors validated View points extracted Industry experts Consultants. The study breaks market revenue volume applicable price history estimates size trend analysis identifying gaps opportunities. Some players coverage study Abee Research Labs, EroNkan Technologies, Flutura Business Solutions, LivNSense Technologies, Universal Robots India, Altizon Systems, IBM India Get ready identify pros cons regulatory framework, local reforms impact Industry. Know Leaders Artificial Intelligence n Manufacturing keeping step forward latest survey analysis Click Artificial Intelligence Indian Manufacturing Market Research Sample PDF Copy Here Major highlights Study frequently asked questions: 1 What unique Artificial Intelligence Indian Manufacturing Assessment? Market Factor Analysis: In economic slowdown COVID19 Outbreak, impact industries huge. Moreover, growing cases COVID19 globe increased demand supply gap resultant sluggish supply chain production line . Market Concentration: ludes C4 Index, HHI, Comparative Artificial Intelligence n Manufacturing Market Share Analysis YoY, Major Companies, Emerging Players Heat Map Analysis Market Entropy: Randomness market highlighting aggressive steps players taking overcome current scenario. Development activity steps like expansions, technological advancement, MA, joint ventures, launches highlighted here. Patent Analysis: Comparison patents issued players year. Peer Analysis: An evaluation players financial metrics EBITDA, Net Profit, Gross Margin, Total Revenue, Segmented Market Share, Assets understand management effectiveness, operation liquidity status. 2Why Companies profiled report? Industry standards like NAICS, ICB considered derive important manufacturers. More emphasis given SMEs emerging evolving market product presence technological upgraded modes, current version includes players like Abee Research Labs Pvt. Ltd, EroNkan Technologies Pvt. Ltd, Flutura Business Solutions Pvt. Ltd, LivNSense Technologies Pvt. Ltd, Universal Robots India Pvt. Ltd, Altizon Systems Pvt. Ltd. , IBM India Pvt. Ltd. Companies reported vary subject Name Change Merger etc. Browse Full Report 3 What details competitive landscape provide? A value proposition chapter gauge Artificial Intelligence n Manufacturing market. 2Page profiles listed company 3 5 years financial data track comparison business overview, product specification etc. Depending requirement deliverable time vary. To comprehend Artificial Intelligence Indian Manufacturing market dynamics world mainly, worldwide Artificial Intelligence n Manufacturing market analyzed major global regions. Customized study specific regional country provided, usually client prefers North America: United States America US, Canada, Mexico. South Central America: Argentina, Chile, Colombia Brazil. Middle East Africa: Kingdom Saudi Arabia, United Arab Emirates, Turkey, Israel, Egypt South Africa. Europe: UK, France, Italy, Germany, Spain, NORDICs, BALTIC Countries, Russia, Austria Rest Europe. Asia: India, China, Japan, South Korea, Taiwan, Southeast Asia Singapore, Thailand, Malaysia, Indonesia, Philippines Vietnam Rest Oceania: Australia New Zealand Enquire customization Report @ For deep analysis Artificial Intelligence n Manufacturing Market Size, Competition Analysis provided includes Revenue M USD Players 20182019 Market Share Players 20182019 complimented concentration rate. Complete Purchase Artificial Intelligence Indian Manufacturing Report 2020 Revised Offered Price @ Actual Numbers InDepth Analysis Artificial Intelligence Indian Manufacturing Market Size Estimation Trends Available Full Version Report. Thanks reading article, sectional purchase optin regional report limiting scope North America, ANZ, Europe MENA Countries, Eastern Europe European Union. About HTF Market Report 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. Media Relations Nidhi Bhawsar PR Marketing ManagerHTF Market Intelligence Consulting Private Limited12063171218 Email Web Profile Follow HTF Market Intelligence Consulting Private Limited HTF Market Intelligence Consulting Private Limited Logo Related Images Source: HTF Market Intelligence Consulting Private Limited Posted Monday, June 08, 2020 4:02 PM CDT 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 | 2,020 | [
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https://www.engadget.com/2020-02-10-snafu-records-ai-music-label.html | 2020-02-10T00:00:00 | en | New music label says it can use AI to find the next big artist | Engadget |
New music label says it can use AI to find the next big artist | Engadget
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New music label says it can use AI to find the next big artist
Snafu Records claims its software can find fresh artists weeks before the competition.
Igor Bonifacic, @igorbonifacic
54m ago
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At this point, artificial intelligence isn't a new concept to musicians. We've seen artists like Björk and Arca use the technology to create new musical arrangements. But a new label called Snafu Records thinks it can also use AI to discover the next big artist long before even the most music-savvy talent scouts find them.
Snafu claims its the first "full-service, AI-enabled record label." Each week, it uses an algorithm to scrape approximately 150,000 tracks on places like Spotify, YouTube, SoundCloud and Tiktok. By taking into account blog posts, tweets and playlist additions, Snafu claims its software can identify "undervalued" artists within days of them releasing their first song instead of the average four to six weeks traditional labels might take. The tool will then assign a score to the music, which it will then use to narrow down the weekly pool to 15 to 20 artists. At that point, the label's human team listens to the songs to see if there's something there. Snafu CEO Ankit Desai told TechCrunch the label's "sweet spot" are songs that are 70 to 75 percent similar to the tracks on Spotify's top 200 list. In other words, they're looking for artists creating music that's similar to what's already popular but just different enough that it sounds fresh. With it being a relatively new label, there isn't a lot of data to judge how successful Snafu's approach has been so far. Out of the 16 artists on the Snafu's roster, the one people might be familiar with is MishCatt. And to be clear, a variety of labels already use analytics to operate their businesses. Tools like Chartmetric allow companies to look at a lot of the same data points that Snafu says informs its algorithm. So what Snafu is doing isn't necessarily a new approach -- though few labels likely depend on the tech to the extent that it does.
Via:
TechCrunch, Music Business Worldwide
Source:
Snafu Records
In this article:
ai, artificial intelligence, av, entertainment, music, robots, snafu records
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| New music label says it can use AI to find the next big artist | New music label says use AI big artist Engadget Engadget Home Reviews Gear Gaming Entertainment Tomorrow Audio Video Deals Buyers Guide Holiday Gift Guide Fitness Tech Home Entertainment Personal Security Back School Outdoor Tech Parenting Tech Camera Guide Best CES Phones Laptops View All Log Sign Engadget 3 related articles Roland reimagines taiko drum modern electronics Anthem change completely Netflix films Oscars Parasite swept major awards Latest Entertainment New music label says use AI big artist 54m ago View The Morning After: Sony Amazon skip MWC coronavirus concerns 8h ago View Oscarwinning screenwriter Taika Waititi dunks Apples keyboards 9h ago View Netflix films Oscars Parasite swept major awards 11h ago View Image credit: Engadget New music label says use AI big artist Snafu Records claims software fresh artists weeks competition. Igor Bonifacic, 54m ago Comments Share Tweet Share Sponsored Links Engadget At point, artificial intelligence isnt new concept musicians. Weve seen artists like Bjrk Arca use technology create new musical arrangements. But new label called Snafu Records thinks use AI discover big artist long musicsavvy talent scouts them. Snafu claims fullservice, AIenabled record label. Each week, uses algorithm scrape approximately 150,000 tracks places like Spotify, YouTube, SoundCloud Tiktok. By taking account blog posts, tweets playlist additions, Snafu claims software identify undervalued artists days releasing song instead average weeks traditional labels take. The tool assign score music, use narrow weekly pool 15 20 artists. At point, labels human team listens songs theres there. Snafu CEO Ankit Desai told TechCrunch labels sweet spot songs 70 75 percent similar tracks Spotifys 200 list. In words, theyre looking artists creating music thats similar whats popular different sounds fresh. With relatively new label, isnt lot data judge successful Snafus approach far. Out 16 artists Snafus roster, people familiar MishCatt. And clear, variety labels use analytics operate businesses. Tools like Chartmetric allow companies look lot data points Snafu says informs algorithm. So Snafu isnt necessarily new approach labels likely depend tech extent does. Via: TechCrunch, Music Business Worldwide Source: Snafu Records In article: ai, artificial intelligence, av, entertainment, music, robots, snafu records All products recommended Engadget selected editorial team, independent parent company. Some stories include affiliate links. If buy links, earn affiliate commission. Comments Share Tweet Share Popular Engadget Anthem change completely View ACLU rejects Clearview AIs facial recognition accuracy claims View JLab Go Air review: These 29 wireless earbuds surprisingly decent View British Airways breaks New York London subsonic flight record View Amazon wants question Trump role 10 billion DoD contract View From web About About Engadget About Our Ads Advertise Brand Kit Buyers Guide RSS Feed Sections Reviews Gear Gaming Entertainment Tomorrow The Buyers Guide Video Podcasts Deals Contribute Comment Guidelines Send tip Support International Join Our Newsletter 2020 Verizon Media. . About Verizon Media Reprints Permissions Suggestions Updated Privacy dashboard Updated Trademarks Advertise Page 1Page 1ear iconeye iconFill 23text filevr | 2,020 | [
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] | 1 | NEGATIVE | 413 |
https://www.wfmz.com/news/pr_newswire/pr_newswire_business/valleyml-is-launching-a-machine-learning-and-deep-learning-boot-camp-from-july-14th-to/article_dfda2420-3bed-59d3-bd81-013a4691d954.html | 2020-05-14T00:00:00 | en | ValleyML is launching a Machine Learning and Deep Learning Boot Camp from July 14th to Sept 10th and AI Expo Series from Sept 21st to Nov 19th 2020. Virtual and Global Live Events. | News | wfmz.com |
ValleyML is launching a Machine Learning and Deep Learning Boot Camp from July 14th to Sept 10th and AI Expo Series from Sept 21st to Nov 19th 2020. Virtual and Global Live Events. | News | wfmz.com
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ValleyML is launching a Machine Learning and Deep Learning Boot Camp from July 14th to Sept 10th and AI Expo Series from Sept 21st to Nov 19th 2020. Virtual and Global Live Events.
Over the past year, in collaboration with IEEE and ACM, ValleyML has hosted numerous talks on contemporary topics in data science, machine learning, and artificial intelligence - bringing together technical experts and inquisitive audiences. During these times of unprecedented global lockdowns due to COVID-19 pandemic, now, more than ever, we need to bring people together. To that end, ValleyML will be expanding its outreach with its Virtual and Global events.
By ValleyML
May 14, 2020
32 min ago
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SANTA CLARA, Calif., May 14, 2020 /PRNewswire/ -- ValleyML, Valley Machine Learning and Artificial Intelligence is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers. We have a global outreach to close to 200,000 professionals in AI and Machine Learning. The focus areas of our members are AI Robotics, AI in Enterprise and AI Hardware. We plan to cover the state-of-the-art advancements in AI technology. ValleyML sponsors include UL, MINDBODY Inc., Ambient Scientific Inc., SEMI, Intel, Western Digital, Texas Instruments, Google, Facebook, Cadence and Xilinx.ValleyML Machine Learning and Boot Camp -2020Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems. Get IEEE PDH Certificate. Virtual Live Boot Camp from July 14th-Sept 10th. Description.Enroll and Learn at ValleyML Live Learning Platform(coupons: valleyml40 Register by June 1st for 40% off. valleyml25 Register by July 1st for 25% off.)Global Call for Presentations & Sponsors for ValleyML AI Expo 2020 conference series (Global & Virtual).A unified call for proposals from industry for ValleyML's AI Expo events focused on Hardware, Enterprise and Robotics is now open at ValleyML2020. Submit by June 1st to participate in a virtual and global series of 90-minute talks and discussions from Sept 21st to Nov 19th on Mondays-Thursdays. Sponsor AI Expo! Limited sponsorship opportunities available. These highly focused events welcome a community of CTOs, CEOs, Chief Data Scientists, product management executives and delegates from some of the world's top technology companies.Committee for ValleyML AI Expo 2020:Program Chair for AI Enterprise and AI Robotics series:Mr. Marc Mar-Yohana, Vice President at UL.Program Chair for AI Hardware series:Mr. George Williams, Director of Data Science at GSI Technology.General Chair:Dr. Kiran Gunnam, Distinguished Engineer, Machine Learning and Computer Vision, Western Digital.
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| ValleyML is launching a Machine Learning and Deep Learning Boot Camp from July 14th to Sept 10th and AI Expo Series from Sept 21st to Nov 19th 2020. Virtual and Global Live Events. | ValleyML launching Machine Learning Deep Learning Boot Camp July 14th Sept 10th AI Expo Series Sept 21st Nov 19th 2020. Virtual Global Live Events. 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 Virtual ToDo Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Virtual ToDo What Tech? 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 CORONAVIRUS Info Center latest news, information, resources 70 Allentown, PA 18103 Today Sunshine giving way clouds; spotty lateday shower, mainly north west.. Tonight Partly cloudy couple showers. Updated: May 14, 2020 @ 1:51 pm Full Forecast Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter YouTube Instagram Email Toggle navigation Home News Coronavirus Info Lehigh Valley Berks Regional Poconos Coal Region Southeastern PA Western New Jersey US World Sunrise Inside Your Town Espanol Noticias Deportes Entretenimiento Comunidad Su Tierra In Case You Missed It Recalls Wanted Police Missing Persons Good News Weather Forecast Hour Hour Local Radar Radar Accuweather Radar WSI Radar Lightning 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 Virtual ToDo Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Virtual ToDo What Tech? 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 ValleyML launching Machine Learning Deep Learning Boot Camp July 14th Sept 10th AI Expo Series Sept 21st Nov 19th 2020. Virtual Global Live Events. Over past year, collaboration IEEE ACM, ValleyML hosted numerous talks contemporary topics data science, machine learning, artificial intelligence bringing technical experts inquisitive audiences. During times unprecedented global lockdowns COVID19 pandemic, now, ever, need bring people together. To end, ValleyML expanding outreach Virtual Global events. By ValleyML May 14, 2020 32 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save SANTA CLARA, Calif., May 14, 2020 PRNewswire ValleyML, Valley Machine Learning Articial Intelligence active important community ML AI Companies Startups, Data Practitioners, Executives Researchers. We global outreach close 200,000 professionals AI Machine Learning. The focus areas members AI Robotics, AI Enterprise AI Hardware. We plan cover stateoftheart advancements AI technology.ValleyML sponsors include UL, MINDBODY ., Ambient Scientific ., SEMI, Intel, Western Digital, Texas Instruments, Google, Facebook, Cadence andXilinx.ValleyML Machine Learning Boot Camp 2020Build solid foundation Machine Learning Deep Learning principles apply techniques realworld problems. Get IEEE PDH Certificate. Virtual Live Boot Camp July 14thSept 10th.Description.Enroll Learn ValleyML Live Learning Platformcoupons: valleyml40 June 1st 40 off. valleyml25 July 1st 25 off.Global Call Presentations Sponsors ValleyML AI Expo 2020 conference series Global Virtual.A unified proposals industry ValleyMLs AI Expo events focused Hardware, Enterprise Robotics open ValleyML2020. Submit June 1st participate virtual global series 90minute talks discussions Sept 21st Nov 19th MondaysThursdays. Sponsor AI ExpoLimited sponsorship opportunities available. These highly focused events welcome community CTOs, CEOs, Chief Data Scientists, product management executives delegates worlds technology companies.Committee ValleyML AI Expo 2020:Program Chair AI Enterprise AI Robotics series:Mr. Marc MarYohana, Vice President UL.Program Chair AI Hardware series:Mr. George Williams, Director Data Science GSI Technology.General Chair:Dr. Kiran Gunnam, Distinguished Engineer, Machine Learning Computer Vision, Western Digital. 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. Video play button WATCH LIVE: President Trump tours Upper Macungie facility Facebook Twitter WhatsApp SMS Email Mobile users CLICK HEREfor livestream 69 News PM NETCAST 51420 Facebook Twitter YouTube Instagram Email Right Now 70 Scattered Clouds Humidity: 36 Cloud Coverage:56 Wind: 13 mph UV Index: 10 Very High Sunrise: 05:45:56 AM Sunset: 08:11:21 PM Today Sunshine giving way clouds; spotty lateday shower, mainly north west. Tonight Partly cloudy couple showers. Tomorrow A mix clouds sun, breezy warmer; shower orthunderstorm possible, especially afternoon evening. More Newsroom Protesters plan rally Harrisburg reopen Pennsylvania Allentown planners Center City warehouse conversion plan LVHN offers advice business owners preparation reopening Immuneboosting foods fight flu Fire starts garage, spreads home near Bechtelsville Police, coaches help celebrate Fleetwood senior athletes Warren County passes budget tax increase Eastons mayor presents recovery plan help struggling businesses Muhlenberg High School graduation plans air Most Lehigh County commissioners motion red yellow phase premature More Newsroom Most Popular Articles Images Videos ArticlesLehigh County state emergency summerLehigh Valley prepares President Trumps visit medical equipment distributorDos iglesias hispanas NY, ms 100 feligreses muertosCommissioners Wolf: We begging reconsiderA pressure cooker: Pa. governor aims contain GOP revoltMost Lehigh County commissioners motion red yellow phase prematureWill Musikfest year? ArtsQuest looking different scenariosAllentown State Hospital demolition project officially starts construction resumes statewidePolice: Woman shot PottstownAccused Bucks rapist believed dead early prison release, SWAT situation 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 . Notifications Settings You dont notifications. Get uptotheminute news sent straight device. Topics AP News Alerts Forecast Updates Breaking News Entertainment | 2,020 | [
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] | 1 | POSITIVE | 414 |
https://venturebeat.com/2020/10/06/getting-inside-the-head-of-a-machine-learning-scientist/ | 2020-10-06T00:00:00 | en | Getting inside the head of a machine learning scientist | VentureBeat |
Getting inside the head of a machine learning scientist | VentureBeat
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Sponsored Getting inside the head of a machine learning scientist
Martin Isaksson, Perceptilabs October 6, 2020 11:21 AM
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Read our latest special issue.
Open Now
Presented by Perceptilabs
Did you ever wonder what goes on inside the brain of a data scientist?
A few years ago, PerceptiLabs, a deep tech startup, took on an ambitious goal — to visualize what data scientists see when they are building a machine learning model. In doing so, they reinvented the process of model building, making it simpler and faster for experts and beginners alike, to build, train, and analyze their models, so companies could speed up their innovation process.
It’s not news that AI is transforming the world in which we live. Banks are using AI to identify potential fraud, healthcare providers use AI to assist with diagnosis, grocery stores build algorithms to predict consumer behavior, and much more. Today, as businesses rush to accelerate their digital transformations due to COVID-19, AI is becoming more crucial, penetrating more business-critical functions.
To enable AI to do all these great things, the field has generally relied on experts (highly trained data scientists) to build and train complex mathematical models also called machine learning models. This is a complex time-consuming process, involving thousands of lines of code. To see what the models were doing, the experts have to use their imagination to visualize the models in their heads.
As AI and ML took hold and the experience levels of AI practitioners diversified, efforts to democratize ML materialized into a rich set of open source frameworks like TensorFlow and datasets. Advanced knowledge is still required for many of these offerings, and experts are still relied upon to code end-to-end ML solutions. This can have some advantages when building customized solutions, but can require a large investment in resources, infrastructure, and maintenance.
More recently a variety of AutoML tools have launched, promising end-to-end capabilities, where data is input, parameters are adjusted, and a fully-trained, deployable ML model is generated. The simplicity of this sounds inviting — indeed it’s appropriate in certain scenarios — however, ML models created through AutoML often lack transparency into their performance and can be difficult to interpret (i.e., explain why they produce certain results). As well, AutoML solutions often restrict users to only a few ML techniques.
The next generation of ML modeling
PerceptiLabs has developed a next-generation ML tool with our visual modeler that took the best of all worlds: the flexibility of code, some of the automation in connecting components, generating model architectures as well as tuning settings and hyperparameters, combined with the ease of a drag and drop UI.
This makes model building easier, faster, and accessible to a wider spectrum of users, whether you are an expert or beginner. There is also the ability to create custom models like simple linear regression, or something more complex like a GAN.
We designed our tool as a visual API on top of TensorFlow, which has grown to become the most popular ML framework. This gives developers full access to the low-level TensorFlow API and the freedom to pull in other Python modules.
Most importantly, users have full transparency into how their model is architected and a view into how their model performs. The result is a new visual approach that’s almost as good as seeing inside a data scientist’s brain!
ML modeling approaches at a glance
There are a lot of choices when it comes to building machine learning models, and each approach needs to be carefully evaluated against the resources you have available to see it through.
That’s why here at PerceptiLabs, we think that our new visual way to build machine learning models, strikes just the right balance across a wide spectrum of ML users while offering better explainability, sophistication, and usability. It’s a flexible but comprehensive approach, that lets you choose the way you want to work, depending on your experience and project needs.
To learn more visit us at www.perceptilabs.com.
Martin Isaksson is Co-Founder and CEO of Perceptilabs.
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].
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| Getting inside the head of a machine learning scientist | Getting inside head machine learning scientist 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 Getting inside head machine learning scientist Martin Isaksson, Perceptilabs October 6, 2020 11:21 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Getty Images Automation Jobs Read latest special issue. Open Now Presented Perceptilabs Did wonder goes inside brain data scientist? A years ago, PerceptiLabs, deep tech startup, took ambitious goal visualize data scientists building machine learning model. In so, reinvented process model building, making simpler faster experts beginners alike, build, train, analyze models, companies speed innovation process. Its news AI transforming world live. Banks AI identify potential fraud, healthcare providers use AI assist diagnosis, grocery stores build algorithms predict consumer behavior, more. Today, businesses rush accelerate digital transformations COVID19, AI crucial, penetrating businesscritical functions. To enable AI great things, field generally relied experts highly trained data scientists build train complex mathematical models called machine learning models. This complex timeconsuming process, involving thousands lines code. To models doing, experts use imagination visualize models heads. As AI ML took hold experience levels AI practitioners diversified, efforts democratize ML materialized rich set open source frameworks like TensorFlow datasets. Advanced knowledge required offerings, experts relied code endtoend ML solutions. This advantages building customized solutions, require large investment resources, infrastructure, maintenance. More recently variety AutoML tools launched, promising endtoend capabilities, data input, parameters adjusted, fullytrained, deployable ML model generated. The simplicity sounds inviting appropriate certain scenarios however, ML models created AutoML lack transparency performance difficult interpret i.e., explain produce certain results. As well, AutoML solutions restrict users ML techniques. The generation ML modeling PerceptiLabs developed nextgeneration ML tool visual modeler took best worlds: flexibility code, automation connecting components, generating model architectures tuning settings hyperparameters, combined ease drag drop UI. This makes model building easier, faster, accessible wider spectrum users, expert beginner. There ability create custom models like simple linear regression, complex like GAN. We designed tool visual API TensorFlow, grown popular ML framework. This gives developers access lowlevel TensorFlow API freedom pull Python modules. Most importantly, users transparency model architected view model performs. The result new visual approach thats good seeing inside data scientists brain ML modeling approaches glance There lot choices comes building machine learning models, approach needs carefully evaluated resources available through. Thats PerceptiLabs, think new visual way build machine learning models, strikes right balance wide spectrum ML users offering better explainability, sophistication, usability. Its flexible comprehensive approach, lets choose way want work, depending experience project needs. To learn visit Martin Isaksson CoFounder CEO Perceptilabs. 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. . | 2,020 | [
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https://www.wkrb13.com/2020/06/14/matrix-ai-network-trading-13-4-lower-over-last-week-man.html | 2020-06-14T00:00:00 | en | Matrix AI Network Trading 13.4% Lower Over Last Week (MAN) - WKRB News |
Matrix AI Network Trading 13.4% Lower Over Last Week (MAN) - WKRB News
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Matrix AI Network Trading 13.4% Lower Over Last Week (MAN)
Matrix AI Network Trading 13.4% Lower Over Last Week (MAN)
Posted by John. R. Edwardson on Jun 14th, 2020
Matrix AI Network (CURRENCY:MAN) traded 15.6% lower against the dollar during the one day period ending at 17:00 PM Eastern on June 14th. One Matrix AI Network token can currently be purchased for approximately $0.0162 or 0.00000173 BTC on cryptocurrency exchanges including Kucoin, IDEX, HitBTC and HADAX. Matrix AI Network has a total market cap of $3.47 million and $62,678.00 worth of Matrix AI Network was traded on exchanges in the last 24 hours. Over the last week, Matrix AI Network has traded 13.4% lower against the dollar.
Here’s how related cryptocurrencies have performed over the last 24 hours:
Get Matrix AI Network alerts:
Litecoin (LTC) traded 1.4% lower against the dollar and now trades at $44.18 or 0.00470854 BTC.
UNUS SED LEO (LEO) traded down 6.2% against the dollar and now trades at $1.17 or 0.00012438 BTC.
Dogecoin (DOGE) traded 0.5% lower against the dollar and now trades at $0.0025 or 0.00000027 BTC.
Verge (XVG) traded 5.9% lower against the dollar and now trades at $0.0073 or 0.00000078 BTC.
Advanced Internet Blocks (AIB) traded down 7.7% against the dollar and now trades at $0.0046 or 0.00000049 BTC.
Bytom (BTM) traded down 2.5% against the dollar and now trades at $0.0682 or 0.00000727 BTC.
Polymath (POLY) traded 6.7% lower against the dollar and now trades at $0.0484 or 0.00000516 BTC.
XeniosCoin (XNC) traded down 0.3% against the dollar and now trades at $0.32 or 0.00003368 BTC.
Hellenic Coin (HNC) traded 1.8% lower against the dollar and now trades at $0.31 or 0.00003340 BTC.
TTC Protocol (TTC) traded down 5.3% against the dollar and now trades at $0.0992 or 0.00001073 BTC.
Matrix AI Network Token Profile
Matrix AI Network (MAN) is a proof-of-work (PoW) token that uses the Scrypt hashing algorithm. Its genesis date was June 26th, 2017. Matrix AI Network’s total supply is 647,450,056 tokens and its circulating supply is 214,302,042 tokens. Matrix AI Network’s official website is www.matrix.io. The Reddit community for Matrix AI Network is /r/MatrixAINetwork and the currency’s Github account can be viewed here. Matrix AI Network’s official Twitter account is @peoplecoinnews and its Facebook page is accessible here.
Buying and Selling Matrix AI Network
Matrix AI Network can be traded on these cryptocurrency exchanges: HitBTC, IDEX, Kucoin, LBank, CoinEgg, DDEX, Ethfinex, HADAX and Gate.io. It is usually not possible to purchase alternative cryptocurrencies such as Matrix AI Network directly using US dollars. Investors seeking to trade Matrix AI Network should first purchase Bitcoin or Ethereum using an exchange that deals in US dollars such as Coinbase, Changelly or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Matrix AI Network using one of the exchanges listed above.
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« PREVIOUSSafeCoin (SAFE) Price Up 28.1% This Week NEXT »Stealth 1-Day Volume Tops $5,854.00 (XST)
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| Matrix AI Network Trading 13.4% Lower Over Last Week (MAN) | Matrix AI Network Trading 13.4 Lower Over Last Week MAN WKRB News Home About Daily Email Updates Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies Daily Ratings News Matrix AI Network Complete form receive latest headlines analysts recommendations Matrix AI Network free daily email newsletter: Follow Recent Posts Neovasc NASDAQ:NVCN Sees Significant Decline Short Interest Natures Sunshine Products NASDAQ:NATR Short Interest Up 7.7 May Short Interest Navient Corp NASDAQ:NAVI Expands By 10.0 Short Interest Northfield Bancorp NASDAQ:NFBK Expands By 5.8 Short Interest Netflix, . NASDAQ:NFLX Declines By 9.2 Napco Security Technologies NASDAQ:NSSC Short Interest Down 8.9 May NetApp . NASDAQ:NTAP Short Interest Up 5.8 May Northwest Pipe NASDAQ:NWPX Sees Significant rease Short Interest Optical Cable Co. NASDAQ:OCC Sees Large rease Short Interest Nantkwest NASDAQ:NK Short Interest Down 11.9 May Short Interest Nova Measuring Instruments Ltd. NASDAQ:NVMI Rises By 10.0 Nuance Communications . NASDAQ:NUAN Sees Significant Growth Short Interest Net Element NASDAQ:NETE Sees Large Decrease Short Interest NuVasive, . NASDAQ:NUVA Short Interest Update Northern Trust Co. NASDAQ:NTRS Short Interest Up 8.8 May Stealth 1Day Volume Tops 5,854.00 XST First Republic Bank NYSE:FRC Receives Average Recommendation Hold Brokerages Egretia EGT Hits Market Capitalization 4.69 Million Metaverse Dualchain Network Architecture DNA 24Hour Trading Volume Reaches 1.66 Million Matrix AI Network Trading 13.4 Lower Over Last Week MAN Matrix AI Network Trading 13.4 Lower Over Last Week MAN Posted John. R. Edwardson Jun 14th, 2020 Matrix AI Network CURRENCY:MAN traded 15.6 lower dollar day period ending 17:00 PM Eastern June 14th. One Matrix AI Network token currently purchased approximately 0.0162 0.00000173 BTC cryptocurrency exchanges including Kucoin, IDEX, HitBTC HADAX. Matrix AI Network total market cap 3.47 million 62,678.00 worth Matrix AI Network traded exchanges 24 hours. Over week, Matrix AI Network traded 13.4 lower dollar. Heres related cryptocurrencies performed 24 hours: Get Matrix AI Network alerts: Litecoin LTC traded 1.4 lower dollar trades 44.18 0.00470854 BTC. UNUS SED LEO LEO traded 6.2 dollar trades 1.17 0.00012438 BTC. Dogecoin DOGE traded 0.5 lower dollar trades 0.0025 0.00000027 BTC. Verge XVG traded 5.9 lower dollar trades 0.0073 0.00000078 BTC. Advanced Internet Blocks AIB traded 7.7 dollar trades 0.0046 0.00000049 BTC. Bytom BTM traded 2.5 dollar trades 0.0682 0.00000727 BTC. Polymath POLY traded 6.7 lower dollar trades 0.0484 0.00000516 BTC. XeniosCoin XNC traded 0.3 dollar trades 0.32 0.00003368 BTC. Hellenic Coin HNC traded 1.8 lower dollar trades 0.31 0.00003340 BTC. TTC Protocol TTC traded 5.3 dollar trades 0.0992 0.00001073 BTC. Matrix AI Network Token Profile Matrix AI Network MAN proofofwork PoW token uses Scrypt hashing algorithm. Its genesis date June 26th, 2017. Matrix AI Networks total supply 647,450,056 tokens circulating supply 214,302,042 tokens. Matrix AI Networks official website The Reddit community Matrix AI Network rMatrixAINetwork currencys Github account viewed here. Matrix AI Networks official Twitter account Facebook accessible here. Buying Selling Matrix AI Network Matrix AI Network traded cryptocurrency exchanges: HitBTC, IDEX, Kucoin, LBank, CoinEgg, DDEX, Ethfinex, HADAX . It usually possible purchase alternative cryptocurrencies Matrix AI Network directly US dollars. Investors seeking trade Matrix AI Network purchase Bitcoin Ethereum exchange deals US dollars Coinbase, Changelly Gemini. Investors use newlyacquired Bitcoin Ethereum purchase Matrix AI Network exchanges listed above. Receive News Updates Matrix AI Network Daily Enter email address receive concise daily summary latest news updates Matrix AI Network related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSSafeCoin SAFE Price Up 28.1 This Week NEXT Stealth 1Day Volume Tops 5,854.00 XST Latest News Neovasc Sees Significant Decline Short Interest Natures Sunshine Products Short Interest Up 7.7 May Short Interest Navient Corp Expands By 10.0 Short Interest Northfield Bancorp Expands By 5.8 Short Interest Netflix, . Declines By 9.2 Napco Security Technologies Short Interest Down 8.9 May Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies 20062020 WKRB News | 2,020 | [
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http://www.sbwire.com/press-releases/aiartificial-intelligencein-drug-discovery-industry-expert-research-on-current-market-scenario-new-tech-developments-by-ibm-microsoft-nvidia-atomwise-deep-genomics-emerging-trends-regional-outlook-from-2020-to-2027-1284068.htm | 2020-03-27T00:00:00 | en | AI(Artificial Intelligence)in Drug Discovery Industry Expert Research on Current Market Scenario, New Tech Developments by IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends & Regional Outlook from 2020 to 2027 | Mar 27, 2020 - ReleaseWire |
AI(Artificial Intelligence)in Drug Discovery Industry Expert Research on Current Market Scenario, New Tech Developments by IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends & Regional Outlook from 2020 to 2027 | Mar 27, 2020 - ReleaseWire
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AI(Artificial Intelligence)in Drug Discovery Industry Expert Research on Current Market Scenario, New Tech Developments by IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends & Regional Outlook from 2020 to 2027
AI(Artificial Intelligence) In Drug Discovery Market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses the market to account to USD 3,932.87 million by 2027 growing at a CAGR of 40.5% in the forecast period. The growing awareness amongst the physicians and patients regarding the benefits of artificial intelligence has been directly impacting the growth of the market.
Pune, India -- (SBWIRE) -- 03/27/2020 -- Global Artificial Intelligence (AI) in Drug Discovery Market 2020 research report provides a profound overview of product specification, technology, and product type and production analysis considering major factors such as revenue, cost, and gross margin. This report presents an in-depth analysis of the Artificial Intelligence (AI) in Drug Discovery market size, growth, share, segments, manufacturers, and forecast, competition landscape and growth opportunity. This report also focuses on key trends, market drivers, challenges, standardization, deployment models, future roadmap, revenue and 2027 forecast.
Get Free Sample Copy of this Report @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market
The Major Players Covered in this Report: Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI Ltd, Exscientia, Cyclica, Numerate, NuMedii, Envisagenics, twoXAR, Incorporated, OWKIN, XtalPi, BERG LLC.
The Global Artificial Intelligence (AI) in Drug Discovery Market 2020 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The market Report also calculate the market size, the report considers the revenue generated from the sales of This Report and technologies by various application segments. The data and the information regarding the Artificial Intelligence (AI) in Drug Discovery industry are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the market experts.
Global Artificial Intelligence (AI) in Drug Discovery Industry 2020 Market Research Report is spread across 350 pages and provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.
Browse Complete Report Details with Table of Content and Figures @ https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-artificial-intelligence-ai-in-drug-discovery-market
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. The report focuses on global major leading Artificial Intelligence (AI) in Drug Discovery Industry players providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information.
The Following KEY MANUFACTURERS/ TOP PLAYERS are covered in this report, with sales, revenue, and market share for each company:
- Microsoft
- NVIDIA
- IBM
- Atomwise
- DEEP GENOMICS
- Cloud Pharmaceuticals
- Insilico Medicine
- BenevolentAI Ltd
- Exscientia
- Cyclica
- Numerate
- NuMedii
- Envisagenics
- twoXAR
- OWKIN
- XtalPi
- BERG LLC
- …
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Artificial Intelligence (AI) in Drug Discovery Market Overview 2020-2027: Increasing need to reduce cost and drug discovery along with reduce time, growth of pharmaceutical industries by collaborations with other industries, adoption of cloud based services and applications, delay in patent expiry are some of the factors that will enhance the growth of artificial intelligence (AI) in drug discovery market in the forecast period of 2020-2027. On the other hand, expansion of biotechnology industries will further create new and ample opportunities for the growth of artificial intelligence (AI) in drug discovery market in the forecast period.
Unavailability of skilled labour and lack of data sets are acting as market challenges for the growth of artificial intelligence (AI) in drug discovery in the forecast period.
Global Artificial Intelligence (AI) in Drug Discovery Market Scope and Market Size
Artificial intelligence (AI) in drug discovery market is segmented on the basis of offering, technology, drug type, application and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
- Based on offering, artificial intelligence (AI) in drug discovery market is segmented into software and services.
- On the basis of technology, artificial intelligence (AI) in drug discovery market is segmented into machine learning and other technologies. Machine learning has been further segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.
- Based on drug type, artificial intelligence (AI) in drug discovery market is segmented into small molecule and large molecules.
- On the basis of application, artificial intelligence (AI) in drug discovery market is segmented into immuno-oncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases and other applications.
- Artificial intelligence (AI) in drug discovery market has also been segmented based on the end user into pharmaceutical & biotechnology companies, contract research organizations, research centres and academic & government institutes.
Geographically, the report takes stock of the potential of Artificial Intelligence (AI) in Drug Discovery market in the regions of North America including the U.S. and Canada, Latin America including Mexico, Brazil, and Argentina, Europe including the U.K., Germany, France, Italy, Spain, and Nordic, Asia Pacific except Japan (APEJ) including India, China, Thailand, Malaysia, Singapore, and Australia, and the Middle East and Africa including Gulf Cooperation Council (GCC), South Africa, Israel, and Nigeria
Global Artificial Intelligence (AI) in Drug Discovery Market In-depth Segmentation:
By Offering (Software, Services),
By Technology (Machine Learning, Other Technologies)
By Drug Type (Small Molecule, Large Molecules)
By Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications)
By End-User (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres and Academic & Government Institutes)
By Country (U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest of Middle East & Africa)
Report on (2020-2027 Artificial Intelligence (AI) in Drug Discovery Market Report) mainly covers 12 sections acutely display the global market:
Chapter 1: To describe Artificial Intelligence (AI) in Drug Discovery Introduction, product scope, market overview, market opportunities, market risk, market driving force.
Chapter 2: To analyze the top manufacturers of Artificial Intelligence (AI) in Drug Discovery, with sales, revenue, and price of Artificial Intelligence (AI) in Drug Discovery, in 2010 and 2020.
Chapter 3: Artificial Intelligence (AI) in Drug Discovery, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2014 and 2020.
Chapter 4: To show the global market by regions, with sales, revenue and market share of Artificial Intelligence (AI) in Drug Discovery, for each region, from 2014 Artificial Intelligence (AI) in Drug Discovery to 2020.
Chapter 5, 6, 7, 8 and 9 To analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions.
Chapter 10 and 11 To show the market by type and application, with sales market share and growth rate by type, application, from 2014 Artificial Intelligence (AI) in Drug Discovery to 2020.
Chapter 11 Artificial Intelligence (AI) in Drug Discovery market forecast, by regions, type and application, with sales and revenue, from 2020 to 2027 Artificial Intelligence (AI) in Drug Discovery.
Chapter 12: To describe Artificial Intelligence (AI) in Drug Discovery sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
If you have any special requirements, please let us know and we will offer you the report as you want.
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| AI(Artificial Intelligence)in Drug Discovery Industry Expert Research on Current Market Scenario, New Tech Developments by IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends & Regional Outlook from 2020 to 2027 | AIArtificial Intelligencein Drug Discovery Industry Expert Research Current Market Scenario, New Tech Developments IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends Regional Outlook 2020 2027 Mar 27, 2020 ReleaseWire SBWire Sign Up Our Service Plans Pricing Newsroom Help About Data Bridge Market Research Email Alerts RSS AIArtificial Intelligencein Drug Discovery Industry Expert Research Current Market Scenario, New Tech Developments IBM, Microsoft, NVIDIA, Atomwise, DEEP GENOMICS: Emerging Trends Regional Outlook 2020 2027 AIArtificial Intelligence In Drug Discovery Market expected gain market growth forecast period 2020 2027. Data Bridge Market Research analyses market account USD 3,932.87 million 2027 growing CAGR 40.5 forecast period. The growing awareness physicians patients benefits artificial intelligence directly impacting growth market. Pune, India SBWIRE 03272020 Global Artificial Intelligence AI Drug Discovery Market 2020 research report provides profound overview product specification, technology, product type production analysis considering major factors revenue, cost, gross margin. This report presents indepth analysis Artificial Intelligence AI Drug Discovery market size, growth, share, segments, manufacturers, forecast, competition landscape growth opportunity. This report focuses key trends, market drivers, challenges, standardization, deployment models, future roadmap, revenue 2027 forecast. Get Free Sample Copy Report @ The Major Players Covered Report: Microsoft, NVIDIA, IBM, Atomwise, DEEP GENOMICS, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI Ltd, Exscientia, Cyclica, Numerate, NuMedii, Envisagenics, twoXAR, orporated, OWKIN, XtalPi, BERG LLC. The Global Artificial Intelligence AI Drug Discovery Market 2020research provides basic overview industry including definitions, classifications, applications industry chain structure. The market Report calculate market size, report considers revenue generated sales This Report technologies application segments. The data information Artificial Intelligence AI Drug Discovery industry taken reliable sources websites, annual reports companies, journals, checked validated market experts. Global Artificial Intelligence AI Drug Discovery Industry 2020 Market Research Report spread 350 provides exclusive vital statistics, data, information, trends competitive landscape details niche sector. Browse Complete Report Details Table Content Figures @ Development policies plansare discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. The report focuses global major leading Artificial Intelligence AI Drug Discovery Industry players providing information company profiles, product picture specification, capacity, production, price, cost, revenue contact information. The Following KEY MANUFACTURERS TOP PLAYERS covered report, sales, revenue, market share company: Microsoft NVIDIA IBM Atomwise DEEP GENOMICS Cloud Pharmaceuticals Insilico Medicine BenevolentAI Ltd Exscientia Cyclica Numerate NuMedii Envisagenics twoXAR OWKIN XtalPi BERG LLC For More Information Query Customization Before Buying, Visit @ Artificial Intelligence AI Drug Discovery Market Overview 20202027: reasing need reduce cost drug discovery reduce time, growth pharmaceutical industries collaborations industries, adoption cloud based services applications, delay patent expiry factors enhance growth artificial intelligence AI drug discovery market forecast period 20202027. On hand, expansion biotechnology industries create new ample opportunities growth artificial intelligence AI drug discovery market forecast period. Unavailability skilled labour lack data sets acting market challenges growth artificial intelligence AI drug discovery forecast period. Global Artificial Intelligence AI Drug Discovery Market Scope Market Size Artificial intelligence AI drug discovery market segmented basis offering, technology, drug type, application end user. The growth segments help analyse meagre growth segments industries, provide users valuable market overview market insights help making strategic decisions identification core market applications. Based offering, artificial intelligence AI drug discovery market segmented software services. On basis technology, artificial intelligence AI drug discovery market segmented machine learning technologies. Machine learning segmented deep learning, supervised learning, reinforcement learning, unsupervised learning machine learning technologies. Based drug type, artificial intelligence AI drug discovery market segmented small molecule large molecules. On basis application, artificial intelligence AI drug discovery market segmented immunooncology, neurodegenerative diseases, cardiovascular disease, metabolic diseases applications. Artificial intelligence AI drug discovery market segmented based end user pharmaceutical biotechnology companies, contract research organizations, research centres academic government institutes. Geographically,the report takes stock potential Artificial Intelligence AI Drug Discovery market regions North America including U.S. Canada, Latin America including Mexico, Brazil, Argentina, Europe including U.K., Germany, France, Italy, Spain, Nordic, Asia Pacific Japan APEJ including India, China, Thailand, Malaysia, Singapore, Australia, Middle East Africa including Gulf Cooperation Council GCC, South Africa, Israel, Nigeria Global Artificial Intelligence AI Drug Discovery Market Indepth Segmentation: By Offering Software, Services, By Technology Machine Learning, Other Technologies By Drug Type Small Molecule, Large Molecules By Application ImmunoOncology, Neurodegenerative Diseases, Cardiovascular Disease, Metabolic Diseases, Other Applications By EndUser Pharmaceutical Biotechnology Companies, Contract Research Organizations, Research Centres Academic Government Institutes By Country U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest AsiaPacific, Brazil, Argentina, Rest South America, South Africa, Saudi Arabia, UAE, Egypt, Israel, Rest Middle East Africa Report 20202027 Artificial Intelligence AI Drug Discovery Market Report mainly covers 12 sections acutely display global market: Chapter 1: To Artificial Intelligence AI Drug Discovery Introduction, product scope, market overview, market opportunities, market risk, market driving force. Chapter 2: To analyze manufacturers Artificial Intelligence AI Drug Discovery, sales, revenue, price Artificial Intelligence AI Drug Discovery, 2010 2020. Chapter 3: Artificial Intelligence AI Drug Discovery, display competitive situation manufacturers, sales, revenue market share 2014 2020. Chapter 4: To global market regions, sales, revenue market share Artificial Intelligence AI Drug Discovery, region, 2014 Artificial Intelligence AI Drug Discovery 2020. Chapter 5, 6, 7, 8 9 To analyze market countries, type, application manufacturers, sales, revenue market share key countries regions. Chapter 10 11 To market type application, sales market share growth rate type, application, 2014 Artificial Intelligence AI Drug Discovery 2020. Chapter 11 Artificial Intelligence AI Drug Discovery market forecast, regions, type application, sales revenue, 2020 2027 Artificial Intelligence AI Drug Discovery. Chapter 12: To Artificial Intelligence AI Drug Discovery sales channel, distributors, traders, dealers, Research Findings Conclusion, appendix data source. If special requirements, let know offer report want. Order Copy Global Artificial Intelligence AI Drug Discovery Market Report @ About Data Bridge Market Research An absolute way forecast future holds comprehend trend today Data Bridge set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge endeavors provide appropriate solutions complex business challenges initiates effortless decisionmaking process. Data Bridge adepts creating satisfied clients reckon services rely hard work certitude. We content glorious 99.9 client satisfying rate. Media Relations Sopan Gadam Vice PresidentData Bridge Market Research18883872818 Email Web Profile Follow Data Bridge Market Research Data Bridge Market Research Logo Site Preview: Visit Full Site Close Preview Source: Data Bridge Market Research Posted Friday, March 27, 2020 10:58 AM CDT 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 | 2,020 | [
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https://mathematicexperts.com/content-automation-ai-tools-market-2020-industry-analysis-with-key-market-players-business-strategies-and-revenue-generation-2026/ | 2020-04-24T00:00:00 | en | Content Automation AI Tools Market 2020: Industry Analysis with Key Market Players | Business Strategies and Revenue Generation – 2026 – Mathematics Market Methods |
Content Automation AI Tools Market 2020: Industry Analysis with Key Market Players | Business Strategies and Revenue Generation – 2026 – Mathematics Market Methods
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You are hereHomeEmerging NewsContent Automation AI Tools Market 2020: Industry Analysis with Key Market Players | Business Strategies and Revenue Generation – 2026
Content Automation AI Tools Market 2020: Industry Analysis with Key Market Players | Business Strategies and Revenue Generation – 2026
April 24, 2020 rahul Content Automation AI Tools, Content Automation AI Tools Market 2020, Content Automation AI Tools market 2026, Content Automation AI Tools Market Growth, Content Automation AI Tools Share
The report on the global Content Automation AI Tools market is just the resource that players need to strengthen their overall growth and establish a strong position in their business. It is a compilation of detailed, accurate research studies that provide in-depth analysis on critical subjects of the global Content Automation AI Tools market such as consumption, revenue, sales, production, trends, opportunities, geographic expansion, competition, segmentation, growth drivers, and challenges.
Need a PDF of the global Content Automation AI Tools market report? Visit: https://www.qyresearch.com/sample-form/form/1511872/global-content-automation-ai-tools-market
As part of geographic analysis of the global Content Automation AI Tools market, the report digs deep into the growth of key regions and countries, including but not limited to North America, the US, Europe, the UK, Germany, France, Asia Pacific, China, and the MEA. All of the geographies are comprehensively studied on the basis of share, consumption, production, future growth potential, CAGR, and many other parameters.
Market Segments Covered:
The following players are covered in this report:
Adobe Systems
Cognizant
IBM Corporation
Microsoft Corporation
Google LLC
…
Content Automation AI Tools Breakdown Data by Type
Social
Mobile
Analytics
Cloud
Content Automation AI Tools Breakdown Data by Application
BFSI
Healthcare
Retail
IT and Telecommunication
Media and Entertainment
Others
Regions Covered in the Global Content Automation AI Tools Market:
– The Middle East and Africa (GCC Countries and Egypt)
– North America (the United States, Mexico, and Canada)
– South America (Brazil etc.)
– Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
– Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
Highlights of the Report
– Accurate market size and CAGR forecasts for the period 2019-2025
– Identification and in-depth assessment of growth opportunities in key segments and regions
– Detailed company profiling of top players of the global Content Automation AI Tools market
– Exhaustive research on innovation and other trends of the global Content Automation AI Tools market
– Reliable industry value chain and supply chain analysis
– Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects
The scope of the Report:
The report offers a complete company profiling of leading players competing in the global Content Automation AI Tools market with high focus on share, gross margin, net profit, sales, product portfolio, new applications, recent developments, and several other factors. It also throws light on the vendor landscape to help players become aware of future competitive changes in the global Content Automation AI Tools market.
Get Customized Report in your Inbox within 24 hours @ https://www.qyresearch.com/customize-request/form/1511872/global-content-automation-ai-tools-market
Reasons to Buy the Report
Upgrade your market research resources with this comprehensive and accuratereport on the global Content Automation AI Tools market
Get complete understanding of general market scenarios and future market situations to prepare for rising above the challenges and ensuring strong growth
The report offers in-depth researchand various tendencies of the global Content Automation AI Tools market
It provides detailed analysis of changing market trends, current and future technologiesused, and various strategies adopted by leading players of the global Content Automation AI Tools market
It offers recommendations and advice for new entrantsof the global Content Automation AI Tools market and carefully guides established players for further market growth
Apart from hottest technological advances in the global Content Automation AI Tools market, it brings to light the future plans of dominant playersin the industry
About Us:
QYResearch always pursuits high product quality with the belief that quality is the soul of business. Through years of effort and supports from huge number of customer supports, QYResearch consulting group has accumulated creative design methods on many high-quality markets investigation and research team with rich experience. Today, QYResearch has become the brand of quality assurance in consulting industry.
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| Content Automation AI Tools Market 2020: Industry Analysis with Key Market Players | Content Automation AI Tools Market 2020: Industry Analysis Key Market Players Business Strategies Revenue Generation 2026 Mathematics Market Methods Skip content Friday, April 24, 2020 Home Disclaimer Our Staff Us Mathematics Market Methods Market Research Reports Home Emerging News Industry Reports Market Analytics Market Report Mathematics Researches Science Updates News You hereHomeEmerging NewsContent Automation AI Tools Market 2020: Industry Analysis Key Market Players Business Strategies Revenue Generation 2026 Content Automation AI Tools Market 2020: Industry Analysis Key Market Players Business Strategies Revenue Generation 2026 April 24, 2020 rahul Content Automation AI Tools, Content Automation AI Tools Market 2020, Content Automation AI Tools market 2026, Content Automation AI Tools Market Growth, Content Automation AI Tools Share The report global Content Automation AI Tools market resource players need strengthen overall growth establish strong position business. It compilation detailed, accurate research studies provide indepth analysis critical subjects global Content Automation AI Tools market consumption, revenue, sales, production, trends, opportunities, geographic expansion, competition, segmentation, growth drivers, challenges. Need PDF global Content Automation AI Tools market report? Visit: As geographic analysis global Content Automation AI Tools market, report digs deep growth key regions countries, including limited North America, US, Europe, UK, Germany, France, Asia Pacific, China, MEA. All geographies comprehensively studied basis share, consumption, production, future growth potential, CAGR, parameters. Market Segments Covered: The following players covered report: Adobe Systems Cognizant IBM Corporation Microsoft Corporation Google LLC Content Automation AI Tools Breakdown Data Type Social Mobile Analytics Cloud Content Automation AI Tools Breakdown Data Application BFSI Healthcare Retail IT Telecommunication Media Entertainment Others Regions Covered Global Content Automation AI Tools Market: The Middle East Africa GCC Countries Egypt North America United States, Mexico, Canada South America Brazil etc. Europe Turkey, Germany, Russia UK, Italy, France, etc. AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Highlights Report Accurate market size CAGR forecasts period 20192025 Identification indepth assessment growth opportunities key segments regions Detailed company profiling players global Content Automation AI Tools market Exhaustive research innovation trends global Content Automation AI Tools market Reliable industry value chain supply chain analysis Comprehensive analysis important growth drivers, restraints, challenges, growth prospects The scope Report: The report offers complete company profiling leading players competing global Content Automation AI Tools market high focus share, gross margin, net profit, sales, product portfolio, new applications, recent developments, factors. It throws light vendor landscape help players aware future competitive changes global Content Automation AI Tools market. Get Customized Report Inbox 24 hours @ Reasons Buy Report Upgrade market research resources thiscomprehensive accuratereport global Content Automation AI Tools market Get complete understanding general market scenarios future market situations prepare rising thechallenges ensuring strong growth The report offersindepth researchand tendencies global Content Automation AI Tools market It provides detailed analysis ofchanging market trends,current future technologiesused, andvarious strategiesadopted leading players global Content Automation AI Tools market It offers recommendations andadvice new entrantsof global Content Automation AI Tools market carefully guides established players market growth Apart hottest technological advances global Content Automation AI Tools market, brings light thefuture plans dominant playersin industry : QYResearch pursuits high product quality belief quality soul business. Through years effort supports huge number customer supports, QYResearch consulting group accumulated creative design methods highquality markets investigation research team rich experience. Today, QYResearch brand quality assurance consulting industry. 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https://www.techradar.com/uk/news/how-ai-is-transforming-the-retail-sector | 2020-08-19T00:00:00 | en | How AI is transforming the retail sector | TechRadar |
How AI is transforming the retail sector | TechRadar
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Home
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Computing
How AI is transforming the retail sector
By
Faisal Abbasi
19 August 2020
From online to in-store
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(Image credit: Image Credit: Free-Photos / Pixabay)
With all non-essential shops in the UK having shut their doors for months at the height of the COVID-19 pandemic, retailers are going to need every advantage they can get to bounce back. As we enter the new normal, research suggests nearly half of UK consumers are still inclined to buy online, showcasing changing shopper behaviors established during lockdown and the ongoing safety concerns that many of us still have.Shopping centers, in particular, are struggling as tenants pause or end contracts due to footfall dropping at unprecedented rates. You only have to look at the collapse of Intu, the owner of some of UK’s largest shopping centers, to understand the sheer impact of the pandemic on brick-and-mortar retail. However, ecommerce retailers have not gone untouched by the crisis, with Asos reporting declining sales during lockdown and other online companies going into liquidation.Critical to re-stimulating retail consumption will be in creating unique customer experiences and a seamless customer journey. Technology, particularly artificial intelligence (AI) in the form of intelligent automated services, can help deliver this. Whether it’s through increased customer engagement, enhanced personalization or sales team support, AI will play an important role – both online and in-store. By surprising and delighting customers through new innovations, retailers will build up customer retention and ultimately drive sales.Creating a tailor-made online experienceMany online retailers are already tapping into innovation on the backend, where sophisticated AI systems work to offer suggestions to new and existing customers. This has helped the growth of the e-commerce and m-commerce sectors, where customers can now buy items in just a couple of clicks via Instagram.AI can be combined with machine learning to keep track of previous customer selections and preferences and make predictions about future purchases. This paves the way for repeat buying and increased customer loyalty – something which all retailers will be striving for in the wake of COVID-19.Digital assistants embedded into a retailer’s website can help predict consumer behavior before they’ve even started browsing, ensuring customers get everything they want from their shopping experience from the get-go. Customers need to be able to view the entire product range from any device, anywhere and at any time. They may want to know more about when an item might come back in stock and alternative delivery options such as in-store pick-up, which digital assistants can provide. Should they have questions regarding returns, replacements or anything else, digital assistants can respond instantaneously, rather than forcing the consumer to trawl through the website for FAQs or having to ring up or tweet customer services.Regenerating the high streetAI in retail still has massive potential for growth – there is no doubt it will have a similar impact on brick-and-mortar as it has done online, bringing new levels of personalization to this space. A report from Global Market Insights found that AI in retail was valued at $650 million in 2017 and predicted it will reach $8 billion by 2024.We’re also starting to see the use of digital employees on the shop floor, which can provide customers with everything they need for an outstanding shopping experience. Delivered via smartphones, tablets, PCs or in-store interactive kiosks, digital employees can analyse and determine the best products for each customer. This creates a simple, easy-to-use experience for the consumer with a familiar form of technology and without the need for human-to-human contact.In addition, as with the online experience, in-store digital assistants harness machine learning to access buying history and individual preferences while keeping track of store visits. This allows retailers to create a holistic view of shopper behavior and use that insight to create a streamlined customer journey that spans both online and physical stores.An AI-powered personal shopperAI-powered digital assistants can offer up new product options, reveal pricing details and provide delivery estimates at the touch of a button. Thanks to back-end integration with CRM, supply chain management, and enterprise resource planning software (ERP), they can also update customers in real-time about personalized items that aren’t in the store that day, when they’ll be ready to dispatch and when they’re expected to arrive.What’s more, this can all be communicated in a manner that suits the customer – either through text or speech. Unlike clunky, robotic communications of the past, today’s sophisticated digital assistants are naturally conversational, answering questions in a realistic and lifelike manner, which helps foster a stronger bond between the customer and the retailer. As with any member of the sales team, their knowledge bank also expands over time. For example, when a customer asks a question, the info can be stored and retrieved at a later date, improving the accuracy and ability to answer similar questions going forward.While having a strong sales team is certainly a must, AI can support even the most inexperienced of staff members. They too, can use digital assistants on a mobile device to answer customer questions, find information easily and respond to their requests, strengthening their ability to serve customers quickly and efficiently.Completely contactless shoppingAI also powers “just walk out” shopping – as trialed by both Sainsburys and Tesco in the last few years. This would allow completely contact-free shopping, where consumers could walk into a store, grab the items they want and exit without stopping at a single check out to fully automate the payments process.By combining the power of computer vision, deep learning and sensor fusion, retailers can achieve so much more. On the one hand, AI can forecast the products a customer plans to buy, whilst sensors and computer vision ascertain which items have been picked up and accurately charge them for their purchases. The fact that the transaction is not finalized until the customer leaves the shop also means that they can browse at their leisure, picking up and putting down different items without having to worry about incurring inaccurate fees. The “just walk out” concept could completely revolutionize the in-store experience as we know it while enabling greater social distancing without the checkout queues.The new normal for retailPre-pandemic, the retail sector was already ripe for regeneration as the convenience and speed of online shopping outpaced innovation on the high street. The COVID-19 outbreak has since accelerated the monumental shift in shopping behavior and a surge in online shopping channels. That said, the industry will bounce back, and with it we are likely to see new means of interacting and engaging with our favorite retailers, both online and in-store.Enhanced with technology that customers have come to expect, brick-and-mortar stores can build an extension of the online experience, furthering the connection between outlet and consumer. Ideally, and with all consideration for what a post-COVID world might look like, this will encourage other retailers to innovate, leveraging the possibilities of AI to provide a new and exciting shopping experience that does not end when a customer leaves the store or clicks off the website.Faisal Abbasi, Managing Director UK&I, IPsoft.
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| How AI is transforming the retail sector | How AI transforming retail sector TechRadar Skip main content TechRadar pro IT insights business RSS Please deactivate ad blocker order subscription offer News Security Resources Web hosting VPN More TechRadar Best VPN Business VPN Best Web Hosting Resources Mobile Industry Best Cloud Storage TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Computing How AI transforming retail sector By Faisal Abbasi 19 August 2020 From online instore Shares Image credit: Image Credit: FreePhotos Pixabay With nonessential shops UK shut doors months height COVID19 pandemic, retailers going need advantage bounce back. As enter new normal, research suggests nearly half UK consumers inclined buy online, showcasing changing shopper behaviors established lockdown ongoing safety concerns have.Shopping centers, particular, struggling tenants pause end contracts footfall dropping unprecedented rates. You look collapse Intu, owner UKs largest shopping centers, understand sheer impact pandemic brickandmortar retail. However, ecommerce retailers gone untouched crisis, Asos reporting declining sales lockdown online companies going liquidation.Critical restimulating retail consumption creating unique customer experiences seamless customer journey. Technology, particularly artificial intelligence AI form intelligent automated services, help deliver this. Whether increased customer engagement, enhanced personalization sales team support, AI play important role online instore. By surprising delighting customers new innovations, retailers build customer retention ultimately drive sales.Creating tailormade online experienceMany online retailers tapping innovation backend, sophisticated AI systems work offer suggestions new existing customers. This helped growth ecommerce mcommerce sectors, customers buy items couple clicks Instagram.AI combined machine learning track previous customer selections preferences predictions future purchases. This paves way repeat buying increased customer loyalty retailers striving wake COVID19.Digital assistants embedded retailers website help predict consumer behavior theyve started browsing, ensuring customers want shopping experience getgo. Customers need able view entire product range device, time.They want know item come stock alternative delivery options instore pickup, digital assistants provide. Should questions returns, replacements else, digital assistants respond instantaneously, forcing consumer trawl website FAQs ring tweet customer services.Regenerating high streetAI retail massive potential growth doubt similar impact brickandmortar online, bringing new levels personalization space. A report Global Market Insights AI retail valued 650 million 2017 predicted reach 8 billion 2024.Were starting use digital employees shop floor, provide customers need outstanding shopping experience. Delivered smartphones, tablets, PCs instore interactive kiosks, digital employees analyse determine best products customer. This creates simple, easytouse experience consumer familiar form technology need humantohuman contact.In addition, online experience, instore digital assistants harness machine learning access buying history individual preferences keeping track store visits. This allows retailers create holistic view shopper behavior use insight create streamlined customer journey spans online physical stores.An AIpowered personal shopperAIpowered digital assistants offer new product options, reveal pricing details provide delivery estimates touch button. Thanks backend integration CRM, supply chain management, enterprise resource planning software ERP, update customers realtime personalized items arent store day, theyll ready dispatch theyre expected arrive.Whats more, communicated manner suits customer text speech. Unlike clunky, robotic communications past, todays sophisticated digital assistants naturally conversational, answering questions realistic lifelike manner, helps foster stronger bond customer retailer. As member sales team, knowledge bank expands time. For example, customer asks question, info stored retrieved later date, improving accuracy ability answer similar questions going forward.While strong sales team certainly must, AI support inexperienced staff members. They too, use digital assistants mobile device answer customer questions, information easily respond requests, strengthening ability serve customers quickly efficiently.Completely contactless shoppingAI powers walk shopping trialed Sainsburys Tesco years. This allow completely contactfree shopping, consumers walk store, grab items want exit stopping single check fully automate payments process.By combining power vision, deep learning sensor fusion, retailers achieve more. On hand, AI forecast products customer plans buy, whilst sensors vision ascertain items picked accurately charge purchases. The fact transaction finalized customer leaves shop means browse leisure, picking putting different items worry incurring inaccurate fees. The walk concept completely revolutionize instore experience know enabling greater social distancing checkout queues.The new normal retailPrepandemic, retail sector ripe regeneration convenience speed online shopping outpaced innovation high street. The COVID19 outbreak accelerated monumental shift shopping behavior surge online shopping channels. That said, industry bounce back, likely new means interacting engaging favorite retailers, online instore.Enhanced technology customers come expect, brickandmortar stores build extension online experience, furthering connection outlet consumer. Ideally, consideration postCOVID world look like, encourage retailers innovate, leveraging possibilities AI provide new exciting shopping experience end customer leaves store clicks website.Faisal Abbasi, Managing Director UKI, IPsoft. See Computing news TechRadar newsletter Sign breaking news, reviews, opinion, analysis more, plus hottest tech deals Receive news offers brands? Yes No Receive mail behalf trusted partners sponsors? Yes No Thank signing TechRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. 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https://hackernoon.com/9-reasons-why-you-should-keep-learning-machine-learning-7n7h307n | 2020-07-10T00:00:00 | en | 9 Reasons Why You Should Keep Learning Machine Learning | Hacker Noon | 9 Reasons Why You Should Keep Learning Machine Learning | Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData 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 HereReadTechAIAutomationBusinessDataData 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 HereStart Chatting On The Decentralized Web!9 Reasons Why You Should Keep Learning Machine Learning by@ben-cryer9 Reasons Why You Should Keep Learning Machine LearningAugust 17th 2019 5,104 reads@ben-cryerBen Cryerwww.simpliv.comMachine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. Machine Learning focuses on the development of computer programs, and the primary aim is to allow computers to learn automatically without human intervention.Google says “Machine Learning is the future,” and the future of Machine Learning is going to be very bright. As humans become more addicted to machines, we’re witnesses to a new revolution that’s taking over the world, and that is going to be the future of Machine Learning.More online businesses are integrating machine learning into their operations, with the bigger and established ones trailblazing the revolution.Machine learning has brought myriad opportunities and improved strategies to help business owners foster customer relationships and get more profit and conversions.If you haven’t fully leveraged the power of machine learning in your business, let me give you five reasons why you should do so now.1. Machine learning helps increase your efficiency.Can you imagine buying from the grocery store without having to wait in line to pay for your goods?If you can’t, then you’d better prepared because that is now a reality.Amazon, for one, has applied machine learning to make grocery shopping ultra-efficient for your customers through computer vision, sensor fusion, and deep learning algorithms.Using the Amazon Go app, customers only need to open it, scan the QR code when they enter, pick their items, and confidently walk out of the store.Amazon Go detects the items they take out from the shelves, automatically adds them into their virtual carts, and charges the bill into their Amazon accounts when they leave.Such is a classic example of how machine learning can increase the efficiency of your business operations and processes, and help your customers, too.While you can use pre-built machine learning technologies, you can also master how to develop them yourself.The concept may sound complicated, but through the right machine learning course, you can invest in building machine learning technologies that suit your specific business needs.2. You can understand your customers better.Since the launch of automation, businesses have embraced customer-centeredness.If you want to maintain a competitive edge over other businesses, you need to know what your customers need and give it to them.If you fail to do so, you can lose your potential customers to your competitors.Here is where machine learning plays a critical role.Machine learning can analyze and organize patterns, trends, and data about your customers’ demographic profiles, choices and preferences, behaviors, and others.Machine learning can get these data from online tools and mechanisms that you use, such as emails collected from sign-ups.Such ability by machine learning enables you to know and understand your customers more quickly.For instance, for your advertising campaigns on Google Adsense or other channels to be effective, they should be deeply targeted according to the mentioned data.The more accurately you can understand your customers and their needs and wants, the more sharply you can target your ads.3. You can personalize your marketing campaigns.When customers feel that your offers are accurately aligned with their preferences — or personalized — they are more likely to patronize your business.The question now becomes, how do you personalize your campaigns and customer shopping experience?The answer is by using machine learning to build them based on the data gathered and analyzed, just like Flybits does.Flybits is a context-as-a-service product that helps businesses provide hyper-personalized digital content and experiences for your customers.With its easy user interface, your digital marketers can easily and instantly access internal and external data through cloud synchronization.Its real-time mobile analytics allow you to customize your content and campaigns for your customers according to their location, weather, and others.What’s more, Flybits ensures your customers’ data are safe and kept confidential. Your customers retain full ownership over their data as well.Personalized campaigns are influential in increasing your conversions and sales, and machine learning help you create them.4. Machine learning recommends products to your customers.In line with personalizing your campaigns, machine learning can recommend products similar to what you previously viewed, purchased, or added to your cart.Amazon is one company that uses machine learning to recommend similar products.Machine learning picks up on the features of the items you previously searched, viewed, or bought, and creates algorithms from those data.Amazon then personalizes its recommendations to you by stating your name and showing similar items.It can also recommend to you similar items that other customers viewed or bought.Let’s say you clicked on some Omine grey loafer sneakers.Machine learning notes the features of the shoes, such as color, size, and style, and then shows you what other customers also bought.In this way, they leverage social proof and fear of missing out (FOMO) to entice you to consider buying what other customers also liked (besides widening your range of options).That said, machine learning helps you improve your sales and conversions significantly.5. Machine learning helps to detect fraud.The convenience that online payment systems offer, especially through mobile applications, has attracted both customers and businesses to transact and purchase online.However, transmitting money online has also attracted cybercriminals and given them opportunities to execute fraudulent attacks.Some businesses have implemented different cybersecurity measures but find that they need more to stop fraud.If you’re experiencing the same problem, there’s fortunate news for you. Machine learning can now help strengthen businesses’ fraud detection system.For instance, PayPal uses machine-learning mechanisms to catch suspicious and shady transactions and separate them from legitimate ones.Machine learning further assists you by inspecting specific attributes among your data and develop standards as the basis for examining each transaction.Machine learning, therefore, helps prevent malicious transactions from taking place even before you can complete them.6) Learning machine learning brings in better career opportunitiesAccording to a Tractica Report, AI driven services were worth $1.9 billion in 2016 and are anticipated to rise to $2.7 billion by end of 2017 of which 23% of the revenue comes through machine learning technology.A report from TMR mentions that MLaaS (Machine learning as a Service) is expected to grow from $1.07 billion in 2016 to $19.9 billion by end of 2025.Machine learning is the shining star of the moment. With every industry looking to apply AI in their domain, studying machine learning opens world of opportunities to develop cutting edge machine learning applications in various verticals – such as cyber security, image recognition, medicine, or face recognition. With several machine learning companies on the verge of hiring skilled ML engineers, it is becoming the brain behind business intelligence. Netflix announced prize worth $1 million to the first individual who could enhance the accuracy of its recommendation ML algorithm by 10%. This is a clear evidence on how significant even a slight enhancement is in the accuracy of recommendation machine learning algorithms to improve the profitability of Netflix. Every customer- centric organization is looking to adopt machine learning technology and is the next big thing paving opportunities for IT professionals. Machine learning algorithms have become the darlings of business and consumers so if you want to put yourselves somewhere in the upper echelon of software engineers then this is the best time to learn ML.7) Machine Learning Engineers earn a pretty pennyThe cost of a top, world-class machine learning expert can be related to that of a top NFL quarterback prospect. According to SimplyHired.com, the average machine learning engineer salary is $142,000.An experienced machine learning engineer can earn up to $195, 752.8) Machine Learning Jobs on the rise“You need a special kind of person to build a hammer, but once you build it, you can give it to many people who will use it to build a house.”The major hiring is happening in all top tech companies in search of those special kind of people (machine learning engineers) who can build a hammer (machine learning algorithms). The job market for machine learning engineers is not just hot but it’s sizzling.According to the popular job portal Indeed, the number of open machine learning jobs have been steadily rising from 2014 to the onset of 2016, from 60 job postings per million to more than 100. The number of job postings jumped up to 150 postings per million by end of 2016. Indeed job trends report also reveals that the number of machine learning engineer job postings outstrip the number of searches for machine learning jobs – 100 million searches vs. 150 job postings.A recent survey on the Indian job market found that there is a requirements of 4000 machine learning engineers in Bengaluru alone.Here is a snapshot of the total number of machine learning jobs in US for IT professionals as of November 13, 2017 –Machine Learning Engineer Jobs Positions on Glassdoor.com – 12000+9) Machine learning is linked directly to Data ScienceMachine learning appears as a shadow of data science. Machine learning career endows you with two hats, one is for a machine learning engineer job and the other is for a data scientist job. Becoming competent in both the fields makes an individual a hot commodity to most of the employers. It means that you can analyse tons of data, extract value and glean insight from it, and later make use of that information to train a machine learning model to predict results. In many organizations, a machine learning engineer often partners with a data scientist for better synchronization of work products. Furthermore, data scientist has been voted the Sexiest Job of 21st Century so one can get started as a data scientist specializing in Machine Learning and become more desirable to employers.If these reasons ring a bell then you might be interested to get your start in machine learning career right now.Are you ready to learn machine learning and land your dream job at one of the top tech companies? Share your personal approach, knowledge, and strategy in the comments below. Everyone has a different take on machine learning, and we want to know your thoughts.Future of Machine LearningMachine Learning can be a competitive advantage to any company be it a top MNC or a startup as things that are currently being done manually will be done tomorrow by machines. Machine Learning revolution will stay with us for long and so will be the future of Machine Learning.Resources to learn Machine LearningLearn Artificial Intelligence for BeginnersMachine Learning In The Cloud With Azure Machine LearningMachine Learning Python: Regression ModelingMACHINE LEARNING with Microsoft AZUREMachine Learning with AWSMachine Learning from scratch through PythonMachine Learning and Training Neural Network in MATLABPractical Deep Learning: Image Search EngineDATA SCIENCE with MACHINE LEARNING and DATA ANALYTICSMachine Learning and Data Science using Python for BeginnersMachine Learning using R and PythonMachine Learning Adv: Support Vector Machines (SVM) PythonConclusionWe have studied the future and the algorithms of Machine Learning. Along with that, we have studied its application, which will help you deal with real life. Furthermore, if you have any queries, feel free to ask in the comments section.Share this story @ben-cryerBen CryerRead my storieswww.simpliv.comRelatedUse Hacker Noon's RSS Feed Visit Hacker Noon RSS Feed hackernoon.com/feedpromoted7 Reasons Why You Should Keep Learning AWS#why-aws@ben-cryerBen Cryer6min08/12/19How to Pay Taxes on Cryptocurrency Transactions While Complying wit...#crypto-taxes@anastasiaAnastasia Shcherbina07/09/20Tags#learn-machine-learning#machine-learning#machine-learning-tutorials#latest-tech-stories#artificial-intellingence#ai#ml#machine-learning-is-the-futureSubscribe to get your daily round-up of top tech stories!HelpAboutStart WritingSponsor:Brand-as-AuthorSitewide BillboardAd by tagNewsletterNooniesContact UsTermsPrivacyCookiesStories published yesterdayLeaderboardContributor's ClubChrome Extension | 9 Reasons Why You Should Keep Learning Machine Learning | 9 Reasons Why You Should Keep Learning Machine Learning Hacker NoonStart WritingStart WritingReadTechAIAutomationBusinessDataData 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 HereReadTechAIAutomationBusinessDataData 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 HereStart Chatting On The Decentralized Web9 Reasons Why You Should Keep Learning Machine Learning Reasons Why You Should Keep Learning Machine LearningAugust 17th 2019 5,104 reads Cryer Learning application ofArtificial Intelligence. It allows software applications accurate predicting outcomes. Machine Learning focuses development programs, primary aim allow computers learn automatically human intervention.Google says Machine Learning future, future Machine Learning going bright. As humans addicted machines, witnesses new revolution thats taking world, going future Machine Learning.More online businesses integrating machine learning operations, bigger established ones trailblazing revolution.Machine learning brought myriad opportunities improved strategies help business owners foster customer relationships profit conversions.If havent fully leveraged power machine learning business, let reasons now.1. Machine learning helps increase efficiency.Can imagine buying grocery store wait line pay goods?If cant, youd better prepared reality.Amazon, one, applied machine learning grocery shopping ultraefficient customers vision, sensor fusion, deep learning algorithms.Using Amazon Go app, customers need open it, scan QR code enter, pick items, confidently walk store.Amazon Go detects items shelves, automatically adds virtual carts, charges Amazon accounts leave.Such classic example machine learning increase efficiency business operations processes, help customers, too.While use prebuilt machine learning technologies, master develop yourself.The concept sound complicated, rightmachine learning course, invest building machine learning technologies suit specific business needs.2. You understand customers better.Since launch automation, businesses embraced customercenteredness.If want maintain competitive edge businesses, need know customers need them.If fail so, lose potential customers competitors.Here machine learning plays critical role.Machine learning analyze organize patterns, trends, data customers demographic profiles, choices preferences, behaviors, others.Machine learning data online tools mechanisms use, emails collected signups.Such ability machine learning enables know understand customers quickly.For instance, advertising campaigns onGoogle Adsense channelsto effective, deeply targeted according mentioned data.The accurately understand customers needs wants, sharply target ads.3. You personalize marketing campaigns.When customers feel offers accurately aligned preferences personalized likely patronize business.The question becomes, personalize campaigns customer shopping experience?The answer machine learning build based data gathered analyzed, like Flybits does.Flybits contextasaservice product helps businesses provide hyperpersonalized digital content experiences customers.With easy user interface, digital marketers easily instantly access internal external data cloud synchronization.Its realtime mobile analytics allow customize content campaigns customers according location, weather, others.Whats more, Flybits ensures customers data safe kept confidential. Your customers retain ownership data well.Personalized campaigns influential increasing conversions sales, machine learning help create them.4. Machine learning recommends products customers.In line personalizing campaigns, machine learning recommend products similar previously viewed, purchased, added cart.Amazon company uses machine learning recommend similar products.Machine learning picks features items previously searched, viewed, bought, creates algorithms data.Amazon personalizes recommendations stating showing similar items.It recommend similar items customers viewed bought.Lets clicked Omine grey loafer sneakers.Machine learning notes features shoes, color, size, style, shows customers bought.In way, leverage social proof fear missing FOMO entice consider buying customers liked widening range options.That said, machine learning helps improve sales conversions significantly.5. Machine learning helps detect fraud.The convenience online payment systems offer, especially mobile applications, attracted customers businesses transact purchase online.However, transmitting money online attracted cybercriminals given opportunities execute fraudulent attacks.Some businesses implemented different cybersecurity measures need stop fraud.If youre experiencing problem, theres fortunate news you. Machine learning help strengthen businesses fraud detection system.For instance, PayPal uses machinelearning mechanisms catch suspicious shady transactions separate legitimate ones.Machine learning assists inspecting specific attributes data develop standards basis examining transaction.Machine learning, therefore, helps prevent malicious transactions taking place complete them.6 Learning machine learning brings better career opportunitiesAccording Tractica Report, AI driven services worth 1.9 billion 2016 anticipated rise 2.7 billion end 2017 23 revenue comes machine learning technology.A report TMR mentions MLaaS Machine learning Service expected grow 1.07 billion 2016 19.9 billion end 2025.Machine learningis shining star moment. With industry looking apply AI domain, studying machine learning opens world opportunities develop cutting edge machine learning applications verticals cyber security, image recognition, medicine, face recognition. With machine learning companies verge hiring skilled ML engineers, brain business intelligence. Netflix announced prize worth 1 million individual enhance accuracy recommendation ML algorithm 10. This clear evidence significant slight enhancement accuracy recommendation machine learning algorithms improve profitability Netflix. Every customer centric organization looking adopt machine learning technology big thing paving opportunities IT professionals. Machine learning algorithms darlings business consumers want upper echelon software engineers best time learn ML.7 Machine Learning Engineers earn pretty pennyThe cost top, worldclass machine learning expert related NFL quarterback prospect. According , average machine learning engineer salary 142,000.An experienced machine learning engineer earn 195, 752.8 Machine Learning Jobs riseYou need special kind person build hammer, build it, people use build house.The major hiring happening tech companies search special kind people machine learning engineers build hammer machine learning algorithms. The job market machine learning engineers hot sizzling.According popular job portal Indeed, number open machine learning jobs steadily rising 2014 onset 2016, 60 job postings million 100. The number job postings jumped 150 postings million end 2016. Indeed job trends report reveals number machine learning engineer job postings outstrip number searches machine learning jobs 100 million searches vs. 150 job postings.A recent survey Indian job market requirements 4000 machine learning engineers Bengaluru alone.Here snapshot total number machine learning jobs US IT professionals November 13, 2017 Machine Learning Engineer Jobs Positions 120009 Machine learning linked directly Data ScienceMachine learning appears shadow data science. Machine learning career endows hats, machine learning engineer job data scientist job. Becoming competent fields makes individual hot commodity employers. It means analyse tons data, extract value glean insight it, later use information train machine learning model predict results. In organizations, machine learning engineer partners data scientist better synchronization work products. Furthermore, data scientist voted Sexiest Job 21stCentury started data scientist specializing Machine Learning desirable employers.If reasons ring bell interested start machine learning career right now.Are ready learn machine learning land dream job tech companies? Share personal approach, knowledge, strategy comments below. Everyone different machine learning, want know thoughts.Future Machine LearningMachine Learning competitive advantage company MNC startup things currently manually tomorrow machines. Machine Learning revolution stay long future Machine Learning.Resources learn Machine LearningLearn Artificial Intelligence BeginnersMachine Learning In The Cloud With Azure Machine LearningMachine Learning Python: Regression ModelingMACHINE LEARNING Microsoft AZUREMachine Learning AWSMachine Learning scratch PythonMachine Learning Training Neural Network MATLABPractical Deep Learning: Image EngineDATA SCIENCE MACHINE LEARNING DATA ANALYTICSMachine Learning Data Science Python BeginnersMachine Learning R PythonMachine Learning Adv: Support Vector Machines SVM PythonConclusionWe studied future algorithms Machine Learning. Along that, studied application, help deal real life. Furthermore, queries, feel free ask comments section.Share story CryerRead stories Hacker Noons RSS Feed Visit Hacker Noon RSS Feed feedpromoted7 Reasons Why You Should Keep Learning AWSwhyaws Cryer6min081219How Pay Taxes Cryptocurrency Transactions While Complying wit...cryptotaxes Shcherbina070920Tagslearnmachinelearningmachinelearningmachinelearningtutorialslatesttechstoriesartificialintellingenceaimlmachinelearningisthefuture daily roundup tech storiesHelpAboutStart WritingSponsor:BrandasAuthorSitewide BillboardAd tagNewsletterNoonies UsTermsPrivacysStories published yesterdayLeaderboardContributors ClubChrome Extension | 2,020 | [
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https://www.wiltonbulletin.com/sports/article/Canadiens-coach-Claude-Julien-receives-stent-15484533.php | 2020-08-14T00:00:00 | en | Canadiens coach Claude Julien receives stent, heads home - The Wilton Bulletin |
Canadiens coach Claude Julien receives stent, heads home - The Wilton Bulletin
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https://www.wiltonbulletin.com/sports/article/Canadiens-coach-Claude-Julien-receives-stent-15484533.php
Canadiens coach Claude Julien receives stent, heads home
Published
1:46 pm EDT, Friday, August 14, 2020
Recommended Video:
TORONTO (AP) — Montreal Canadiens coach Claude Julien is returning home to Montreal a day after a stent was placed in a coronary artery. The team said doctors expect a full recovery.
Julien was rushed to St. Michael’s Hospital in Toronto overnight Wednesday with chest pain. He had surgery Thursday.
“Coach Julien would like to convey his most sincere thanks to everyone at St. Michael’s Hospital for the wonderful care he received during his stay,” the Canadiens said in a statement Friday. “He also wishes to personally and sincerely thank everyone who has sent their well wishes during this time.”
Since Julien left the NHL bubble in Toronto, he will have to follow quarantine protocol if he wishes to re-enter it.
Team members wanting to return to the bubble must provide four consecutive negative COVID-19 tests carried out over four days. They will be quarantined for at least that time period, and possibly up to 14 days depending on risk of exposure while outside the bubble.
Kirk Muller will serve as interim head coach for the rest of the Eastern Conference quarterfinal against the Philadelphia Flyers. The Flyers led the series 1-0 entering Game 2 on Friday.
___
FILE - Montreal Canadiens head coach Claude Julien gives instructions during NHL hockey practice in Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien was experiencing chest pains Wednesday, Aug. 12, 2020 and was taken by ambulance to a Toronto hospital. Bergevin confirmed it was not COVID-19 related. The 60-year-old coach is not expected to be back behind the bench for the rest of the team's first-round series against Philadelphia. Associate coach Kirk Muller will take over Julien's role in an interim basis. (Ryan Remiorz/The Canadian Press via AP) less
FILE - Montreal Canadiens head coach Claude Julien gives instructions during NHL hockey practice in Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien was ... more
Photo: Ryan Remiorz, AP
Photo: Ryan Remiorz, AP
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FILE - Montreal Canadiens head coach Claude Julien gives instructions during NHL hockey practice in Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien was experiencing chest pains Wednesday, Aug. 12, 2020 and was taken by ambulance to a Toronto hospital. Bergevin confirmed it was not COVID-19 related. The 60-year-old coach is not expected to be back behind the bench for the rest of the team's first-round series against Philadelphia. Associate coach Kirk Muller will take over Julien's role in an interim basis. (Ryan Remiorz/The Canadian Press via AP) less
FILE - Montreal Canadiens head coach Claude Julien gives instructions during NHL hockey practice in Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien was ... more
Photo: Ryan Remiorz, AP
Canadiens coach Claude Julien receives stent, heads home
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| Canadiens coach Claude Julien receives stent, heads home | Canadiens coach Claude Julien receives stent, heads home The Wilton Bulletin Home eEdition Todays Print Ads Archives Advertise Print Archives Newsletter SignUp News Politics Elections Regional Town Government News Submissions People Schools Business Police Fire Print Archives CT plaintiffs seek 1.5B Eversource Isaias restoration Healy wins GOP 26th district primary, ready face challenges Trump admits hes blocking postal cash stop mailin votes Storm cleanup changes Metro North train service Sports High School Sports Youth Sports Recreational Sports Sports Submissions DiGiovanni Wilton selected Little East Hall Fame Wiltons Andrew Smith wins John Corr Award Wilton Youth Football registration opens Pro volleyball player Kathryn Plummer visits Wilton team Obituaries Obituaries Prior 2019 Opinion Columns Letters Editorial Commentary Wilton editorial: Good choice school reopening Hudspeth: The federal governments role protecting Wilton letter: Upgrade electric distribution 21st Letter: Wilton student addresses high school Arts Leisure Arts Listings Arts Leisure Features Drive Binge Repeat Curtain Call Arts Leisure Columns Home Garden QAS The Conscious Cook Kneads Cravings Movie Menu The Reel Dad Taking Hike Did I that? Bill Fairs Kids Stuff Lively Arts On Exhibit On Stage Something New Sound Music Upcoming Arts Leisure Movie Menu: Cary Grant Rosalind Russell light weekend Binge Repeat: The Umbrella Academy returns Netflix Binge Repeat: Teens dont mad, Get Even Thrown Stone commissions visionary Conn. folk Help The Wilton Bulletin Privacy Notice Terms Use Classifieds MenuSections Canadiens coach Claude Julien receives stent, heads home Published 1:46pm EDT, Friday, August 14, 2020 Recommended Video: TORONTO AP Montreal Canadiens coach Claude Julien returning home Montreal day stent placed coronary artery. The team said doctors expect recovery. Julien rushed St. Michaels Hospital Toronto overnight Wednesday chest pain. He surgery Thursday. Coach Julien like convey thanks St. Michaels Hospital wonderful care received stay, Canadiens said statement Friday. He wishes personally sincerely thank sent wishes time. Since Julien left NHL bubble Toronto, follow quarantine protocol wishes reenter it. Team members wanting return bubble provide consecutive negative COVID19 tests carried days. They quarantined time period, possibly 14 days depending risk exposure outside bubble. Kirk Muller serve interim head coach rest Eastern Conference quarterfinal Philadelphia Flyers. The Flyers led series 10 entering Game 2 Friday. ___ FILE Montreal Canadiens head coach Claude Julien gives instructions NHL hockey practice Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien experiencing chest pains Wednesday, Aug. 12, 2020 taken ambulance Toronto hospital. Bergevin confirmed COVID19 related. The 60yearold coach expected bench rest teams firstround series Philadelphia. Associate coach Kirk Muller Juliens role interim basis. Ryan RemiorzThe Canadian Press AP FILE Montreal Canadiens head coach Claude Julien gives instructions NHL hockey practice Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien ... Photo: Ryan Remiorz, AP Photo: Ryan Remiorz, AP Image 1 1 Caption Close Image 1 1 FILE Montreal Canadiens head coach Claude Julien gives instructions NHL hockey practice Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien experiencing chest pains Wednesday, Aug. 12, 2020 taken ambulance Toronto hospital. Bergevin confirmed COVID19 related. The 60yearold coach expected bench rest teams firstround series Philadelphia. Associate coach Kirk Muller Juliens role interim basis. Ryan RemiorzThe Canadian Press AP FILE Montreal Canadiens head coach Claude Julien gives instructions NHL hockey practice Brossard, Quebec, Tuesday, July 14, 2020. Canadiens general manager Marc Bergevin says coach Claude Julien ... Photo: Ryan Remiorz, AP Canadiens coach Claude Julien receives stent, heads home 1 1 Back Gallery More AP NHL: View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Archives Us FAQ Todays eEdition r Services Paid Legal Notices Classifieds Submissions Read More Darien Times Milford Mirror New Canaan Advertiser Shelton Herald Trumbull Times The Ridgefield Press Wilton Bulletin Connect Facebook Twitter Hearst Newspapers Hearst Media Services Connecticut, LLC | 2,020 | [
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https://www.globenewswire.com/news-release/2020/11/17/2128055/0/en/Global-Sports-Technology-Market-2020-2027-Artificial-Intelligence-AI-and-Internet-of-Things-IoT-to-Provide-Growth-Opportunities.html | 2020-11-17T00:00:00 | en | Global Sports Technology Market 2020-2027 - Artificial Intelligence (AI) and Internet of Things (IoT) to Provide Growth Opportunities |
Global Sports Technology Market 2020-2027 - Artificial Intelligence (AI) and Internet of Things (IoT) to Provide Growth Opportunities
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November 17, 2020 05:08 ET
| Source: Research and Markets
Dublin, Nov. 17, 2020 (GLOBE NEWSWIRE) -- The "Sports Technology Market Forecast to 2027 - COVID-19 Impact and Global Analysis by Component and Technology" report has been added to ResearchAndMarkets.com's offering. Increasing popularity of esports, rising demand for a comfortable sport viewing experience, and growing integration of social media with stadium technology are the major factors driving the growth of North American sports technology market. Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. The adoption of sports technology in APAC is majorly driven by penetration of internet and cloud technology, emergence of professional leagues, and sports digitalization. There are major sports leagues and active participants in sports, such as cricket, hockey, badminton, and athletics, as well as esports in India, China, Australia, Pakistan, Sri Lanka, and Bangladesh. China is the largest esports market in APAC. The use of sports technology to improve spectator experience and stadium operations positively impacts the market growth. Professional sports bodies have adopted new and innovative technologies, such as digital signage, smart stadiums, sports data analytics, and wearable devices. Due to the proliferation of sporting events, smart stadium is one of the significant trends globally. Additionally, the growing number of massive prize pool events and the ever-increasing number of sports leagues across developed and emerging economies provide market players multiple lucrative opportunities. Due to the presence of a limited number of players, the market is consolidated in nature. To develop innovative technologies and maintain their position in the market, players make significant investments in research and development activities. For example, Fitbit, Inc. a global provider of wearables, collaborated with Google LLC in April 2018 to accelerate digital health and wearables innovation. However, the US sports leagues began suspending their seasons in early March 2020 due to COVID-19 pandemic. Mandatory social distancing has significantly impacted the global sports industry. For millions of fans, live sports have taken the biggest hit, by shutting down games and ending broadcasts. Restrictions on sports events and mass gatherings in most of the countries are expected to affect the growth of sports industry, which minimizes the adoption of sports technology among end users, such as , coaches, clubs, leagues, and sports associations. The factors mentioned above are expected to impede market growth in 2020 and mid-2021. Impact of COVID-19 on North American Sports Technology MarketNorth America is a critical market for the growth of various sports related solutions & services owing to the presence of developed countries such as the US and Canada in this region. Presently, US is the world's worst affected country due to COVID-19 outbreak with highest number of confirmed cases and deaths, as per the recent WHO statistics. The high number of COVID cases have resulted in a negative impact on country's and region's economy and there has been a decline in overall business activities and growth of various industries operating in the region. Developed countries such as the US are major markets for the growth of sports technology market and the ongoing interruptions in the growth of sports industry due to cancellations and postponement of various big sports events due to COVID-19 outbreak are affecting the revenue of key market players operating in the North America region. Some of the major US sports leagues have suspended their seasons scheduled to happen in 2020 and mandatory social distancing is further aggravating the negative impact on the US sports industry. Major League Soccer, Major League Baseball, Women's National Basketball Association, and United States Women's Open Championship are some of the organizations and events that have been postponed/cancelled due to the pandemic. The slowdown in North American sports industry is also resulting in financial challenges for teams, clubs, leagues, and sports organizers present in the region. Hence, the ongoing COVID-19 crisis and critical situation in the US is anticipated to impact the sports technology market growth in North America region in a negative manner for at least for the next few quarters. Key Topics Covered: 1. Introduction2. Key Takeaways3. Research Methodology4. Sports Technology Market Landscape4.1 Market Overview4.2 PEST Analysis4.3 Ecosystem Analysis4.4 Expert Opinion5. Sports Technology Market - Key Market Dynamics5.1 Market Drivers5.1.1 Rising Acceptance of Wearable Equipment by Athletes5.1.2 Increasing Investments in Sports Industry5.2 Market Restraints5.2.1 High Upfront Costs and Budget Constraints5.3 Market Opportunities5.3.1 Artificial Intelligence (AI) and Internet of Things (IoT) to Provide Growth Opportunities to Sports Technology Market5.4 Future Trends5.4.1 Onset of Virtual Reality (VR) and Augmented Realty (AR) in Sports5.5 Impact Analysis of Drivers and Restraints6. Sports Technology Market - Global Analysis6.1 Global Sports Technology Market Overview6.2 Sports Technology Market - Revenue and Forecast to 2027 (US$ Million)6.3 Market Positioning - Five Key Players7. Sports Technology Market Analysis - By Component7.1 Overview7.2 Sports Technology Market, By Component (2019 and 2027)7.3 Hardware7.3.1 Overview7.3.2 Hardware: Sports Technology Market - Revenue and Forecast to 2027 (US$ Million)7.4 Software7.5 Services8. Sports Technology Market Analysis - By Technology8.1 Overview8.2 Sports Technology Market, By Technology (2019 and 2027)8.3 Tracking System/Hawk-Eye Technology8.3.1 Overview8.3.2 Tracking System/Hawk-Eye: Sports Technology Market- Revenue and Forecast to 2027 (US$ Million)8.4 Broadcast Technology8.5 Virtual Reality8.6 Wearable Technology9. Sports Technology Market - Geographic Analysis10. Sports Technology Market- COVID-19 Impact Analysis11. Industry Landscape11.1 Overview12. Company Profiles12.1 Key Facts12.2 Business Description12.3 Products and Services12.4 Financial Overview12.5 SWOT Analysis12.6 Key Developments ATO-GEAR B.V.Catapult Group International LtdChyronHego CorporationEON RealityTrinityVR, Inc.ROTXX, INC.Hawk-Eye Innovations Ltd.STATSports GroupStrivr Labs, Inc.Zebra Technologies Corporation For more information about this report visit https://www.researchandmarkets.com/r/ir8gz Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research. CONTACT: ResearchAndMarkets.com
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| Global Sports Technology Market 2020-2027 | Global Sports Technology Market 20202027 Artificial Intelligence AI Internet Things IoT Provide Growth Opportunities GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners Global Sports Technology Market 20202027 Artificial Intelligence AI Internet Things IoT Provide Growth Opportunities Email Print Friendly Share November 17, 2020 05:08 ET Source: Research Markets Dublin, Nov. 17, 2020 GLOBE NEWSWIRE The Sports Technology Market Forecast 2027 COVID19 Impact Global Analysis Component Technology report added offering. reasing popularity esports, rising demand comfortable sport viewing experience, growing integration social media stadium technology major factors driving growth North American sports technology market. Asia Pacific anticipated grow highest CAGR forecast period. The adoption sports technology APAC majorly driven penetration internet cloud technology, emergence professional leagues, sports digitalization. There major sports leagues active participants sports, cricket, hockey, badminton, athletics, esports India, China, Australia, Pakistan, Sri Lanka, Bangladesh. China largest esports market APAC. The use sports technology improve spectator experience stadium operations positively impacts market growth. Professional sports bodies adopted new innovative technologies, digital signage, smart stadiums, sports data analytics, wearable devices. Due proliferation sporting events, smart stadium significant trends globally. Additionally, growing number massive prize pool events everincreasing number sports leagues developed emerging economies provide market players multiple lucrative opportunities. Due presence limited number players, market consolidated nature. To develop innovative technologies maintain position market, players significant investments research development activities. For example, Fitbit, . global provider wearables, collaborated Google LLC April 2018 accelerate digital health wearables innovation. However, US sports leagues began suspending seasons early March 2020 COVID19 pandemic. Mandatory social distancing significantly impacted global sports industry. For millions fans, live sports taken biggest hit, shutting games ending broadcasts. Restrictions sports events mass gatherings countries expected affect growth sports industry, minimizes adoption sports technology end users, , coaches, clubs, leagues, sports associations. The factors mentioned expected impede market growth 2020 mid2021. Impact COVID19 North American Sports Technology MarketNorth America critical market growth sports related solutions services owing presence developed countries US Canada region. Presently, US worlds worst affected country COVID19 outbreak highest number confirmed cases deaths, recent WHO statistics. The high number COVID cases resulted negative impact countrys regions economy decline overall business activities growth industries operating region. Developed countries US major markets growth sports technology market ongoing interruptions growth sports industry cancellations postponement big sports events COVID19 outbreak affecting revenue key market players operating North America region. Some major US sports leagues suspended seasons scheduled happen 2020 mandatory social distancing aggravating negative impact US sports industry. Major League Soccer, Major League Baseball, Womens National Basketball Association, United States Womens Open Championship organizations events postponedcancelled pandemic. The slowdown North American sports industry resulting financial challenges teams, clubs, leagues, sports organizers present region. Hence, ongoing COVID19 crisis critical situation US anticipated impact sports technology market growth North America region negative manner quarters. Key Topics Covered: 1. Introduction2. Key Takeaways3. Research Methodology4. Sports Technology Market Landscape4.1 Market Overview4.2 PEST Analysis4.3 Ecosystem Analysis4.4 Expert Opinion5. Sports Technology Market Key Market Dynamics5.1 Market Drivers5.1.1 Rising Acceptance Wearable Equipment Athletes5.1.2 reasing Investments Sports Industry5.2 Market Restraints5.2.1 High Upfront Costs Budget Constraints5.3 Market Opportunities5.3.1 Artificial Intelligence AI Internet Things IoT Provide Growth Opportunities Sports Technology Market5.4 Future Trends5.4.1 Onset Virtual Reality VR Augmented Realty AR Sports5.5 Impact Analysis Drivers Restraints6. Sports Technology Market Global Analysis6.1 Global Sports Technology Market Overview6.2 Sports Technology Market Revenue Forecast 2027 US Million6.3 Market Positioning Five Key Players7. Sports Technology Market Analysis By Component7.1 Overview7.2 Sports Technology Market, By Component 2019 20277.3 Hardware7.3.1 Overview7.3.2 Hardware: Sports Technology Market Revenue Forecast 2027 US Million7.4 Software7.5 Services8. Sports Technology Market Analysis By Technology8.1 Overview8.2 Sports Technology Market, By Technology 2019 20278.3 Tracking SystemHawkEye Technology8.3.1 Overview8.3.2 Tracking SystemHawkEye: Sports Technology Market Revenue Forecast 2027 US Million8.4 Broadcast Technology8.5 Virtual Reality8.6 Wearable Technology9. Sports Technology Market Geographic Analysis10. Sports Technology Market COVID19 Impact Analysis11. Industry Landscape11.1 Overview12. Company Profiles12.1 Key Facts12.2 Business Description12.3 Products Services12.4 Financial Overview12.5 SWOT Analysis12.6 Key Developments ATOGEAR B.V.Catapult Group International LtdChyronHego CorporationEON RealityTrinityVR, .ROTXX, INC.HawkEye Innovations Ltd.STATSports GroupStrivr Labs, .Zebra Technologies Corporation For information report visit Research Markets offers Custom Research services providing focused, comprehensive tailored research. CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 Related Articles More articles issued Research Markets More articles related to: Research Analysis Reports Profile Research Markets RSS ATOM Javascript Dublin, IRELAND Data CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 With Reader Account, easy send email directly contact release. Sign today free Reader Account Already account? Log here. Media Files 22157.jpg LOGO URL Copy link Formats available: Original Medium Small Tags Sporting Goods Equipment Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . Ok | 2,020 | [
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https://www.news18.com/news/tech/airtel-invests-in-voicezen-an-early-stage-ai-startup-working-on-voice-technologies-2631807.html | 2020-05-22T00:00:00 | en | Airtel Invests in Voicezen, an Early Stage AI Startup Working on Voice Technologies |
Airtel Invests in Voicezen, an Early Stage AI Startup Working on Voice Technologies
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Airtel Invests in Voicezen, an Early Stage AI Startup Working on Voice Technologies
Representative image. (Photo: Reuters)
Voicezen is the third startup to become a part of the Airtel Startup Accelerator Programme.
IANS
Last Updated: May 22, 2020, 1:41 PM IST
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Bharti Airtel on Thursday said that it has acquired a 10 per cent stake in Voicezen, an early-stage startup focused on conversational AI technologies. The acquisition has been made by the company under its fast-expanding Airtel Startup Accelerator Programme, the company said in a regulatory filing.
"Acquisition of the equity shares of investee company is done at mutually agreed pre-money enterprise valuation. The said valuation is not disclosed herein due to reasons of confidentiality," it said. Gurugram-based Voicezen has been working on developing advanced solutions that leverage machine learning, AI, speech to text and voice technologies to offer real-time analytics to help brands serve customers better.
"The investment will give Airtel preferred access to Voicezen's technologies, which can be deployed across its customer touchpoints in multiple languages. These intelligent solutions will offer real-time analytics and insights to make Airtel's conversations with its customers more engaging and frictionless and enable faster resolution. It will also allow Airtel to make contextual offers to customers based on real-time conversations," the filing said.
Voicezen is the third startup to become a part of the Airtel Startup Accelerator Programme. Adarsh Nair, Chief Product Officer, Bharti Airtel said: "Voicezen has built some promising products that are very relevant for a market like India. As part of its strategy to deliver a highly differentiated service experience to its customers, Bharti Airtel has acquired a strategic stake in Voicezen, an early-stage start-up focused on conversational AI technologies."
Apurba Nath, Founder of Voicezen, said that the startup helps brands deliver a better customer experience in Indian languages using 'Conversational AI'. "Having worked on AI solutions in the past, Voicezen knew what works well in a lab most often doesn't work in the real world, because either the training data is not large and relevant or the problem has little business significance," he added.
"Our partnership with Airtel helps us solve these challenges. With this strategic investment, we will work even more closely with them to continuously improve our AI models and build out an enterprise-grade, battle-hardened product that will make customer interactions more efficient, especially in this post-COVID world where business operations are facing large disruptions," he said.
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First Published: May 22, 2020, 1:41 PM IST
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| Airtel Invests in Voicezen, an Early Stage AI Startup Working on Voice Technologies | Airtel Invests Voicezen, Early Stage AI Startup Working Voice Technologies TECH CHANGE LANGUAGE English WATCH LIVE TV DOWNLOAD News18 APP On Trending Topics : CoronavirusBoardResultsCOV19 AnalyticsIndiaGives HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosWorld HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosWorldCricketNextBusinessHealth FitnessEducation CareerAstrologyStocksOpinionLifestyleSportsBudget TravelFootballFoodDelhi Elections LatestMoviesLifestyle LifeGoal Advisor AwardsSwasth IndiaIndiaPositiveEducation Career LatestMoviesLifestyle LifeGoal Advisor AwardsSwasth IndiaIndiaPositiveEducation Career News18 Tech 1MIN READ Airtel Invests Voicezen, Early Stage AI Startup Working Voice Technologies Representative image. Photo: Reuters Voicezen startup Airtel Startup Accelerator Programme. IANS Last Updated: May 22, 2020, 1:41 PM IST Share this: Bharti Airtel Thursday said acquired 10 cent stake Voicezen, earlystage startup focused conversational AI technologies. The acquisition company fastexpanding Airtel Startup Accelerator Programme, company said regulatory filing. Acquisition equity shares investee company mutually agreed premoney enterprise valuation. The said valuation disclosed reasons confidentiality, said. Gurugrambased Voicezen working developing advanced solutions leverage machine learning, AI, speech text voice technologies offer realtime analytics help brands serve customers better. The investment Airtel preferred access Voicezens technologies, deployed customer touchpoints multiple languages. These intelligent solutions offer realtime analytics insights Airtels conversations customers engaging frictionless enable faster resolution. It allow Airtel contextual offers customers based realtime conversations, filing said. Voicezen startup Airtel Startup Accelerator Programme. Adarsh Nair, Chief Product Officer, Bharti Airtel said: Voicezen built promising products relevant market like India. As strategy deliver highly differentiated service experience customers, Bharti Airtel acquired strategic stake Voicezen, earlystage startup focused conversational AI technologies. Apurba Nath, Founder Voicezen, said startup helps brands deliver better customer experience Indian languages Conversational AI. Having worked AI solutions past, Voicezen knew works lab doesnt work real world, training data large relevant problem little business significance, added. Our partnership Airtel helps solve challenges. With strategic investment, work closely continuously improve AI models build enterprisegrade, battlehardened product customer interactions efficient, especially postCOVID world business operations facing large disruptions, said. Support daily wage earners hit hardest COVID19 crisis. Click contribute cause. IndiaGives The daily News18 Coronavirus COVID19 newsletter Get copy here. News18 Daybreak. Follow Twitter, Instagram, Facebook, Telegram, TikTok YouTube Share this: Tags: aiai startupsAI startups IndiaairtelAirtel investment VoicezenAirtel latest newsAirtel Startup Accelerator programmeAirtel voice technologyartificial intelligencecoronaviruscovid19 First Published: May 22, 2020, 1:41 PM IST Next Story LIVE TV Recommended For You Krishna Shroff Shares Romantic Pic Boyfriend Eban Hyams, Writes Missing Ya BooNASA Hasnt Discovered Parallel Universe, We Gotta Stick This OneOlympics Official Sees Real Problems Holding Games 2021Sushma Swarajs Husband Reminisces Old Times Her Mizoram After Rare Pic Surfaces OnlineCar Sanitization Becomes Popular Business Model As Govt Eases Covid19 Restrictions Photogallery Rana Daggubati Gets Engaged Miheeka Bajaj; See Pics10PHOTOSPrithviraj Returns India After Being Stuck Jordan 2 Months Due COVID1919PHOTOS Airtel Invests Voicezen, Early Stage AI Startup Working Voice TechnologiesFujifilm XT4 India Launch May 25, Adds Stabilisation Revered Mirrorless LineupHP To Implement Major Cost Cuts, Reduces CEO Pay 25 Due Covid19 CrisisWhatsapp To Get 50 People Calling Facility Via Messenger Rooms Live TV sections India Lifestyle Tech Politics Auto Sports iVideos Football Press Release Latest News EidulFitr 2020 Date: When Will India, UAE Saudi Arabia Celebrate Ramzan EidRailway Ferries 31 Lakh People Over 2,000 Shramik Special Trains Since May 1Biketaxi Booking App Rapido Resumes Operations 35 Cities Green Orange ZonesIndian Doctors Hold Black Ribbon Protest Raise Their Voice Against New Quarantine GuidelinesBan TikTok Keyword Spikes 488 After Faizal Siddiquis Video Glorifying Acid Attack Policy Disclaimer Us Sitemap Complaint Redressal Advertise With Us Network 18 Sites News18 India CricketNext Bangla News Gujarati News Urdu News Marathi News TopperLearning Moneycontrol Firstpost CompareIndia CNBCTV18 History India MTV India Clear Study Doubts Education Franchisee Opportunity CAprep18 CNN name, logo associated elements 2020 Cable News Network LP, LLLP. 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https://www.globenewswire.com/news-release/2020/10/09/2106453/0/en/Night-Market-Hires-Innovative-Industry-Leader-Kimberly-Chulis-to-Critical-Role-of-VP-of-Data-Science.html | 2020-10-09T00:00:00 | en | Night Market Hires Innovative Industry Leader Kimberly Chulis to Critical Role of VP of Data Science |
Night Market Hires Innovative Industry Leader Kimberly Chulis to Critical Role of VP of Data Science
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Night Market Hires Innovative Industry Leader Kimberly Chulis to Critical Role of VP of Data Science
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October 09, 2020 15:00 ET
| Source: Horizon Media Inc.
NEW YORK, Oct. 09, 2020 (GLOBE NEWSWIRE) -- Night Market, Horizon’s recently launched eCommerce data intelligence company, today announced it has hired Kimberly Chulis, Ph.D., as VP of Data Science. The move is effective immediately and Chulis will report directly to Randy Browning, President of Night Market. Night Market is designed to provide brands with unique insights into consumer purchase behaviour within the walled gardens of Amazon, Google and Facebook, thus giving brands unprecedented control of the consumer e-purchase journey. The role of VP of Data Science represents a significant hire as Night Market continues to bring together performance media and retail expertise to provide brands with a more sophisticated approach to maximizing their revenue potential. Chulis is a 20-year data science veteran known for her innovative work in advanced analytics, predictive modeling and cloud-based ML and AI solutions for major technology companies such as Microsoft and IBM. At Night Market, Kimberly will be overseeing the creation of an eCommerce infrastructure built upon Horizon Media’s own customer data platform, blu. Chulis will be incorporating machine learning insights to guide retail related services such as offer, pricing, merchandising, forecasting and reviews, as well as building audience segments based on buying behavior. In addition, she will lead the integration of performance media and purchase data to drive the omnichannel consultative approach that Night Market offers across D2C and marketplaces. Chulis is a recognized innovator in the field and her previous experience generated significantly improved business outcomes for a number of major retailers. Chulis worked with the Walmart.com team on architecture and applications of Azure ML and cloud architecture configuration. For a major retailer, she developed social media analytics and predictive analytics based on consumer online browsing and buying behaviour, and she has created and implemented a number of design, measurement and modelling frameworks for brands such as HP, UnitedHealth Group and Char-Broil to name a few. In addition to her work as an innovator, Chulis is also a respected academic and much sought-after mentor and teacher. This is Chulis’s 7th year adjunct teaching on applied analytics topics at Northwestern in their MS Data Science program. During her academic career, she explored how best to turn unstructured data into meaningful and valuable corporate assets with her dissertation originally focusing on 27 types of Twitter data to derive insights related to company performance and revenue. “Night Market is a data and AI company, so this is obviously an important new hire for us,” said Randy Browning, President of Night Market. “Kim has impeccable credentials and is a recognized leader in data science. What most impressed me was her track record of innovation in solving complex business problems, as that is the foundation of Night Market’s success. Kim is thoughtful, collaborative and has the curiosity and entrepreneurial spirit essential for driving business outcomes for our client,” said Browning. “Night Market represents true innovation in the eCommerce space,” said Kim Chulis, VP of Data Science at Night Market. “It’s almost a cliché now that eCommerce and online retail strategies in general have leaped 5 years in the last 5 months. What excites me most in joining Night Market is that Randy and the team have the vision, ambition and audacious goal of maintaining that level of iteration. I was only looking for the most challenging of roles and for a new home with a passionate team of innovators and entrepreneurs. I see nothing but opportunity as Night Market’s approach continues to deliver a more insightful, cohesive and influential consumer experience for brands,” said Chulis. The hiring of such a renowned data scientist as Kim Chulis is the latest coup for Night Market as they continue to disrupt the eCommerce space with an innovative and insightful model that is driving improved business outcomes for eCommerce clients. In July, Night Market created the industry’s first Upfronts dedicated to eCommerce, an exclusive event for Horizon Media clients which was branded: eCommFronts; Click & Connect. In partnership with Amazon, Google, Facebook, Instacart, Walmart (WMG) and PromoteIQ/Kroger, Night Market provided five days of virtual workshops filled with exclusive content focused on how brands can drive improved business outcomes with more effective approach to their eCommerce strategies. Following the success of the eCommFronts: Click & Connect, Night Market recently launched its latest ecommerce initiative for clients, the Night Market eCommerce Accelerator. Night Market believes it is essential for retailers to seize the moment this Q4 with its eCommerce bootcamp to focus on igniting their eCommerce strategy to meet evolving consumer demands and accelerate their online revenue. The Night Market Q4 eCommerce Accelerator is a quick-turn engagement package tailored to a client’s business goals, including: Channel assessment; On-site and marketplace optimizations; Personalization strategy; Customer profiling and cart segmentation. Marketers can visit https://www.night-market.com/consulting.html for more information. About Night Market Night Market, is a brave new eCommerce consultancy with eCommerce data intelligence at the heart – in a world where brands are losing control of the customer journey and the resulting revenue, Night Market is dedicated and determined to compete with the eCommerce walled gardens and bring control and insights back to the brands themselves, champion the customer journey through data innovation. As a brand-new entity, backed by Horizon Media, Night Market will operate as a consulting company layered on top of a ground-breaking technology platform – the first of its kind. About Horizon Media Horizon Media, Inc. is a leader in delivering data-driven business outcomes for some of the most innovative and ambitious brands. The company was founded in 1989, is headquartered in New York, and has offices in Los Angeles and Toronto. With estimated billings of approximately $9 billion and over 2,400 employees, Horizon is the second largest U.S. media agency according to the AdAge Datacenter. Recognized as one of the world’s ten most innovative marketing and advertising companies by Fast Company, Horizon Media has been named Media Agency of the Year by MediaPost, Adweek and AdAge and is known for its highly personal approach to client service. Renowned for its culture, Horizon is also consistently named to all the prestigious annual Best Places to Work lists published by AdAge, Crain’s New York Business and Los Angeles Business Journal, and was named by Fortune as a best place to work for Diversity, Women and Millennials. Bill Koenigsberg, President, CEO and Founder of Horizon Media, has earned a host of industry accolades and, in 2019, garnered the industry’s highest honor when he was inducted into the American Advertising Federation (AAF) Hall of Fame. For further information please contact Horizon Media Stephen Hall [email protected]
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| Night Market Hires Innovative Industry Leader Kimberly Chulis to Critical Role of VP of Data Science | Night Market Hires Innovative Industry Leader Kimberly Chulis Critical Role VP Data Science GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners Night Market Hires Innovative Industry Leader Kimberly Chulis Critical Role VP Data Science Email Print Friendly Share October 09, 2020 15:00 ET Source: Horizon Media . NEW YORK, Oct. 09, 2020 GLOBE NEWSWIRE Night Market, Horizons recently launched eCommerce data intelligence company, today announced hired Kimberly Chulis, Ph.D., VP Data Science. The effective immediately Chulis report directly Randy Browning, President Night Market. Night Market designed provide brands unique insights consumer purchase behaviour walled gardens Amazon, Google Facebook, giving brands unprecedented control consumer epurchase journey. The role VP Data Science represents significant hire Night Market continues bring performance media retail expertise provide brands sophisticated approach maximizing revenue potential. Chulis 20year data science veteran known innovative work advanced analytics, predictive modeling cloudbased ML AI solutions major technology companies Microsoft IBM. At Night Market, Kimberly overseeing creation eCommerce infrastructure built Horizon Medias customer data platform, blu. Chulis incorporating machine learning insights guide retail related services offer, pricing, merchandising, forecasting reviews, building audience segments based buying behavior. In addition, lead integration performance media purchase data drive omnichannel consultative approach Night Market offers D2C marketplaces. Chulis recognized innovator field previous experience generated significantly improved business outcomes number major retailers. Chulis worked team architecture applications Azure ML cloud architecture configuration. For major retailer, developed social media analytics predictive analytics based consumer online browsing buying behaviour, created implemented number design, measurement modelling frameworks brands HP, UnitedHealth Group CharBroil few. In addition work innovator, Chulis respected academic soughtafter mentor teacher. This Chuliss 7th year adjunct teaching applied analytics topics Northwestern MS Data Science program. During academic career, explored best turn unstructured data meaningful valuable corporate assets dissertation originally focusing 27 types Twitter data derive insights related company performance revenue. Night Market data AI company, obviously important new hire us, said Randy Browning, President Night Market. Kim impeccable credentials recognized leader data science. What impressed track record innovation solving complex business problems, foundation Night Markets success. Kim thoughtful, collaborative curiosity entrepreneurial spirit essential driving business outcomes client, said Browning. Night Market represents true innovation eCommerce space, said Kim Chulis, VP Data Science Night Market. Its clich eCommerce online retail strategies general leaped 5 years 5 months. What excites joining Night Market Randy team vision, ambition audacious goal maintaining level iteration. I looking challenging roles new home passionate team innovators entrepreneurs. I opportunity Night Markets approach continues deliver insightful, cohesive influential consumer experience brands, said Chulis. The hiring renowned data scientist Kim Chulis latest coup Night Market continue disrupt eCommerce space innovative insightful model driving improved business outcomes eCommerce clients. In July, Night Market created industrys Upfronts dedicated eCommerce, exclusive event Horizon Media clients branded: eCommFronts; Click Connect. In partnership Amazon, Google, Facebook, Instacart, Walmart WMG PromoteIQKroger, Night Market provided days virtual workshops filled exclusive content focused brands drive improved business outcomes effective approach eCommerce strategies. Following success eCommFronts: Click Connect, Night Market recently launched latest ecommerce initiative clients, Night Market eCommerce Accelerator. Night Market believes essential retailers seize moment Q4 eCommerce bootcamp focus igniting eCommerce strategy meet evolving consumer demands accelerate online revenue. The Night Market Q4 eCommerce Accelerator quickturn engagement package tailored clients business goals, including: Channel assessment; Onsite marketplace optimizations; Personalization strategy; Customer profiling cart segmentation. Marketers visit information. About Night Market Night Market, brave new eCommerce consultancy eCommerce data intelligence heart world brands losing control customer journey resulting revenue, Night Market dedicated determined compete eCommerce walled gardens bring control insights brands themselves, champion customer journey data innovation. As brandnew entity, backed Horizon Media, Night Market operate consulting company layered groundbreaking technology platform kind. About Horizon Media Horizon Media, . leader delivering datadriven business outcomes innovative ambitious brands. The company founded 1989, headquartered New York, offices Los Angeles Toronto. With estimated billings approximately 9 billion 2,400 employees, Horizon second largest U.S. media agency according AdAge Datacenter. Recognized worlds innovative marketing advertising companies Fast Company, Horizon Media named Media Agency Year MediaPost, Adweek AdAge known highly personal approach client service. Renowned culture, Horizon consistently named prestigious annual Best Places Work lists published AdAge, Crains New York Business Los Angeles Business Journal, named Fortune best place work Diversity, Women Millennials. Bill Koenigsberg, President, CEO Founder Horizon Media, earned host industry accolades and, 2019, garnered industrys highest honor inducted American Advertising Federation AAF Hall Fame. For information contact Horizon Media Stephen Hall shall Related Articles More articles issued Horizon Media . More articles related to: Directors Officers Profile Horizon Media . RSS ATOM Javascript New York, New York, UNITED STATES Media Files HorizonLogoBlue_Sphere.png LOGO URL Copy link Formats available: Original Medium Small Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . Ok | 2,020 | [
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https://www.stokesentinel.co.uk/news/stoke-on-trent-news/watch-brilliant-royal-stoke-medics-4671244 | 2020-11-05T00:00:00 | en | Watch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatment - Stoke-on-Trent Live |
Watch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatment - Stoke-on-Trent Live
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frontpageNewsStoke-on-Trent NewsRoyal Stoke University Hospital
NewsWatch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatmentA third of patients who suffer an aneurysm don't survivestokesentinelShare CommentsSubscriptionsSign OutByBethan ShufflebothamLife Writer14:15, 5 NOV 2020Updated14:31, 5 NOV 2020NewsVideo LoadingVideo UnavailableClick to playTap to playThe video will start in8CancelPlay nowWant Stoke-on-Trent news emailed to you direct from our journalists? Sign up to our newsletterSubscribeWhen you subscribe we will use the information you provide to send you these newsletters. Sometimes they’ll include recommendations for other related newsletters or services we offer. OurPrivacy Noticeexplains more about how we use your data, and your rights. You can unsubscribe at any time.Thank you for subscribingSee ourprivacy noticeInvalid EmailBrilliant medics at Stoke-on-Trent’s biggest hospital have used an innovative rare treatment to save a patient’s life. The team at Royal Stoke used state of the art technology and artificial intelligence to treat a brain aneurysm after Helen Norton fell ill whilst exercising. The former teacher was transported to the Hartshill complex from Shrewsbury to receive the rarely-used treatment. The 56-year-old mum-of-one fell ill during a spinning class where a doctor raised the alarm to emergency services. Helen said: “I was in a spinning class and up until then I had been absolutely fine but all of a sudden I just felt weird and distant from everything around me, almost like I was under water. "I felt panicky and got off the bike and went for fresh air. Thankfully there was a GP at the gym who helped and staff called 999.” The story of how medics used the life-saving treatment will be aired on tonight's episode of 999 Critical Condition - the exclusive Channel 5 documentary charting the life and death decisions and actions of clinicians at the hospital’s major trauma centre.
Dr Sanjeev Nayak
Helen received a series of scans where experts identified the aneurysm which was smaller than 1mm at the back of her brain. But Dr Sanjeev Nayak, a consultant neuroradiologist, was able to treat the aneurysm which was in a difficult spot for surgery. He fitted a special stent to improve blood flow to Helen’s brain in a procedure which uses artificial intelligence to ensure the stent is tailor-made, measured and is placed accurately.
Dr Nayak said: “An aneurysm is like a blister on the vessel of the brain and if that ruptures, in this particular case it can lead to disability or death. A third of the patients who have this haemorrhage don’t make it to the hospital, they don’t survive.” In a poignant and emotional moment, Helen’s husband Simon speaks of his love for wife Helen saying: “You can’t really put into words what that feels like, to know that someone who you love, you know, deeply that things could have turned out so very different. “The doctor talked about how close you can be to death and it makes you evaluate and appreciate what you’ve got and what you potentially can lose.”
Now, 12 months on, helen is on the mend despite a difficult year. She said: “It has been a strange 12 months, I lost my mother in August last year and then I had the brain haemorrhage followed by Covid, which has affected us all. “It’s like a plague of locusts but I am so thankful that I am now fit and healthy, back at the gym and have come through it. “I am grateful to Dr Nayak who both Simon and I have so much admiration for and give credit to the whole team and nursing care I received, my care was fantastic and I am very grateful.” - Watch Helen’s story on Channel 5 at 9pm tonight (Thursday, November 5).stokeontrentliveFollow @SotliveMore OnStokeRoyal Stoke University Hospital
NewsallMost ReadMost RecentTraffic & TravelNorth Staffordshire biker, 21, dies in 'devastating' three-vehicle A53 collisionHe was pronounced dead at the crash sceneFamily's fury as Covid-positive prisoner moved to Stoke-on-Trent hotel - and he got there on the buscoronavirusHe's now staying at The Crown Hotel'Lovely and kind' dad, 31, found dead at his North Staffordshire home after drugs relapseStoke-on-Trent NewsJoe Hurst had managed to stay clean of drugs for four monthsTeenage girl attacked by boy, 16, while walking along Stoke-on-Trent streetStaffordshire PolicePolice are appealing for witnessesCan I take my children shopping with me during second lockdown? Supermarket rules confirmedcoronavirusNew guidance has been issuedRoyal Stoke University HospitalWatch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatmentA third of patients who suffer an aneurysm don't survivePolice hunting three men after valuables stolen in burglaryStaffordshire PoliceOfficers have appealed for helpLive: Covid-19 updates as Boris Johnson set to address nation about lockdownBoris JohnsonFollow our live blog for more updates...Newcastle now Covid hotspot of the Midlands following spike in infection ratecoronavirusMore than 500 cases were confirmed in the borough in the seven days up to October 31Teenage girl attacked by boy, 16, while walking along Stoke-on-Trent streetStaffordshire PolicePolice are appealing for witnessesMost ReadMost RecentTraffic & TravelNorth Staffordshire biker, 21, dies in 'devastating' three-vehicle A53 collisionHe was pronounced dead at the crash sceneFamily's fury as Covid-positive prisoner moved to Stoke-on-Trent hotel - and he got there on the buscoronavirusHe's now staying at The Crown Hotel'Lovely and kind' dad, 31, found dead at his North Staffordshire home after drugs relapseStoke-on-Trent NewsJoe Hurst had managed to stay clean of drugs for four monthsTeenage girl attacked by boy, 16, while walking along Stoke-on-Trent streetStaffordshire PolicePolice are appealing for witnessesCan I take my children shopping with me during second lockdown? Supermarket rules confirmedcoronavirusNew guidance has been issuedRoyal Stoke University HospitalWatch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatmentA third of patients who suffer an aneurysm don't survivePolice hunting three men after valuables stolen in burglaryStaffordshire PoliceOfficers have appealed for helpTyrese Campbell hits top of Championship charts as stats highlight flying start to seasonStoke City FCStriker set up Nick Powell for Stoke City goal at Watford last nightLive: Covid-19 updates as Boris Johnson set to address nation about lockdownBoris JohnsonFollow our live blog for more updates...Newcastle now Covid hotspot of the Midlands following spike in infection ratecoronavirusMore than 500 cases were confirmed in the borough in the seven days up to October 31
Top StoriesLive: Covid-19 updates as Boris Johnson set to address nation about lockdownBoris JohnsonFollow our live blog for more updates...Watch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatmentRoyal Stoke University HospitalA third of patients who suffer an aneurysm don't survive583 NHS staff off work after coronavirus outbreak at Royal Stoke and County HospitalcoronavirusIt has also emerged that six workers had to be sent home after contracting Covid-19 after breaching rules by not wearing a mask while sharing liftsMan, 69, arrested after 'suspicious' explosion at flatCheshire Fire and Rescue ServiceFirefighters spent around four hours tackling the ensuing blazeWell-wishers lay flowers at scene of Stoke-on-Trent crash which claimed life of one man and left second seriously injuredStaffordshire PolicePolice investigations are continuing into the collisionPolice hunting three men after valuables stolen in burglaryStaffordshire PoliceOfficers have appealed for help'Lovely and kind' dad, 31, found dead at his North Staffordshire home after drugs relapseStoke-on-Trent NewsJoe Hurst had managed to stay clean of drugs for four monthsStaffordshire health boss's six-word warning as Lockdown 2 comes into force todaycoronavirusThe seven-day rate for Staffordshire is now above both the national and West Midlands rate at 344.7 per 100,000 populationLive as Rishi Sunak announces new furlough rules and support packagesUK & World NewsThe Chancellor of the Exchequer is changing the rules on furlough after England entered a second national lockdownArmed police swoop as threatening man wields weapon in North Staffordshire streetStaffordshire PoliceA 36-year-old was arrested at the sceneNorth Staffordshire publicans contract coronavirus days after customer struck down as race on to find other drinkerscoronavirusThe news comes as pub across England were forced to call last orders for a month due to the second national lockdownBakery employing hundreds of workers hit by coronaviruscoronavirusIn a letter to employees leaked to StokeonTrentLive, management urged staff to follow social distancing guidelines
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| Watch as brilliant Royal Stoke medics save life of former teacher using rare artificial intelligence treatment | Watch brilliant Royal Stoke medics save life teacher rare artificial intelligence treatment StokeonTrent Live stokesentinelLoad mobile navigationNewsLatest NewsStokeonTrent NewsTraffic TravelCrimeEducationHealthHistoryPoliticsBusinessJobsCelebs TVPropertyMotoringUK World NewsNews By AreaExpandIn Your AreaSportFootballCricketNonleague footballOther SportSport OpinionExpandWhats OnLatest Whats OnFood DrinkFamily KidsMusic NightlifeShoppingStay InExpandStoke City FCPort Vale FCWay We WereSpecial FeaturesMy AccountSubscriptionsSign OutFollow usChristmasFuneral NoticesJobsBook adBuy photoFootie5Advertise usVoucher CodesMotorsDirectoryMarketplaceDatingDo1ThingInYourAreaMemoryLaneDiscount CodesPublic NoticesMarketplaceBuy photoAdvertise Us UsWork usSubscriptionsCompetition RulesHow ComplainCorrections ClarificationsPrivacy Notice NoticeNewsletters SignupRSS feedsNotifications Alerts help 2020 Local World frontNewsStokeonTrent NewsRoyal Stoke University Hospital NewsWatch brilliant Royal Stoke medics save life teacher rare artificial intelligence treatmentA patients suffer aneurysm dont survivestokesentinelShareCommentsSubscriptionsSign OutByBethan ShufflebothamLife Writer14:15, 5 NOV 2020Updated14:31, 5 NOV 2020NewsVideo LoadingVideo UnavailableClick playTap playThe video start in8CancelPlay nowWant StokeonTrent news emailed direct journalists? Sign newsletterWhen subscribe use information provide send newsletters. Sometimes theyll include recommendations related newsletters services offer. OurPrivacy Noticeexplains use data, rights. You unsubscribe time.Thank subscribingSee ourprivacy noticeInvalid EmailBrilliant medics StokeonTrents biggest hospital innovative rare treatment save patients life. The team Royal Stoke state art technology artificial intelligence treat brain aneurysm Helen Norton fell ill whilst exercising. The teacher transported Hartshill complex Shrewsbury receive rarelyused treatment. The 56yearold mumofone fell ill spinning class doctor raised alarm emergency services. Helen said: I spinning class I absolutely fine sudden I felt weird distant me, like I water. I felt panicky got bike went fresh air. Thankfully GP gym helped staff called 999. The story medics lifesaving treatment aired tonights episode 999 Critical Condition exclusive Channel 5 documentary charting life death decisions actions clinicians hospitals major trauma centre. Dr Sanjeev Nayak Helen received series scans experts identified aneurysm smaller 1mm brain. But Dr Sanjeev Nayak, consultant neuroradiologist, able treat aneurysm difficult spot surgery. He fitted special stent improve blood flow Helens brain procedure uses artificial intelligence ensure stent tailormade, measured placed accurately. Dr Nayak said: An aneurysm like blister vessel brain ruptures, particular case lead disability death. A patients haemorrhage dont hospital, dont survive. In poignant emotional moment, Helens husband Simon speaks love wife Helen saying: You words feels like, know love, know, deeply things turned different. The doctor talked close death makes evaluate appreciate youve got potentially lose. Now, 12 months on, helen mend despite difficult year. She said: It strange 12 months, I lost mother August year I brain haemorrhage followed Covid, affected all. Its like plague locusts I thankful I fit healthy, gym come it. I grateful Dr Nayak Simon I admiration credit team nursing care I received, care fantastic I grateful. Watch Helens story Channel 5 9pm tonight Thursday, November 5.stokeontrentliveFollow OnStokeRoyal Stoke University Hospital NewsallMost ReadMost RecentTraffic TravelNorth Staffordshire biker, 21, dies devastating threevehicle A53 collisionHe pronounced dead crash sceneFamilys fury Covidpositive prisoner moved StokeonTrent hotel got buscoronavirusHes staying The Crown HotelLovely kind dad, 31, dead North Staffordshire home drugs relapseStokeonTrent NewsJoe Hurst managed stay clean drugs monthsTeenage girl attacked boy, 16, walking StokeonTrent streetStaffordshire PolicePolice appealing witnessesCan I children shopping second lockdown? Supermarket rules confirmedcoronavirusNew guidance issuedRoyal Stoke University HospitalWatch brilliant Royal Stoke medics save life teacher rare artificial intelligence treatmentA patients suffer aneurysm dont survivePolice hunting men valuables stolen burglaryStaffordshire PoliceOfficers appealed helpLive: Covid19 updates Boris Johnson set address nation lockdownBoris JohnsonFollow live blog updates...Newcastle Covid hotspot Midlands following spike infection ratecoronavirusMore 500 cases confirmed borough seven days October 31Teenage girl attacked boy, 16, walking StokeonTrent streetStaffordshire PolicePolice appealing witnessesMost ReadMost RecentTraffic TravelNorth Staffordshire biker, 21, dies devastating threevehicle A53 collisionHe pronounced dead crash sceneFamilys fury Covidpositive prisoner moved StokeonTrent hotel got buscoronavirusHes staying The Crown HotelLovely kind dad, 31, dead North Staffordshire home drugs relapseStokeonTrent NewsJoe Hurst managed stay clean drugs monthsTeenage girl attacked boy, 16, walking StokeonTrent streetStaffordshire PolicePolice appealing witnessesCan I children shopping second lockdown? Supermarket rules confirmedcoronavirusNew guidance issuedRoyal Stoke University HospitalWatch brilliant Royal Stoke medics save life teacher rare artificial intelligence treatmentA patients suffer aneurysm dont survivePolice hunting men valuables stolen burglaryStaffordshire PoliceOfficers appealed helpTyrese Campbell hits Championship charts stats highlight flying start seasonStoke City FCStriker set Nick Powell Stoke City goal Watford nightLive: Covid19 updates Boris Johnson set address nation lockdownBoris JohnsonFollow live blog updates...Newcastle Covid hotspot Midlands following spike infection ratecoronavirusMore 500 cases confirmed borough seven days October 31 Top StoriesLive: Covid19 updates Boris Johnson set address nation lockdownBoris JohnsonFollow live blog updates...Watch brilliant Royal Stoke medics save life teacher rare artificial intelligence treatmentRoyal Stoke University HospitalA patients suffer aneurysm dont survive583 NHS staff work coronavirus outbreak Royal Stoke County HospitalcoronavirusIt emerged workers sent home contracting Covid19 breaching rules wearing mask sharing liftsMan, 69, arrested suspicious explosion flatCheshire Fire Rescue ServiceFirefighters spent hours tackling ensuing blazeWellwishers lay flowers scene StokeonTrent crash claimed life man left second seriously injuredStaffordshire PolicePolice investigations continuing collisionPolice hunting men valuables stolen burglaryStaffordshire PoliceOfficers appealed helpLovely kind dad, 31, dead North Staffordshire home drugs relapseStokeonTrent NewsJoe Hurst managed stay clean drugs monthsStaffordshire health bosss sixword warning Lockdown 2 comes force todaycoronavirusThe sevenday rate Staffordshire national West Midlands rate 344.7 100,000 populationLive Rishi Sunak announces new furlough rules support packagesUK World NewsThe Chancellor Exchequer changing rules furlough England entered second national lockdownArmed police swoop threatening man wields weapon North Staffordshire streetStaffordshire PoliceA 36yearold arrested sceneNorth Staffordshire publicans contract coronavirus days customer struck race drinkerscoronavirusThe news comes pub England forced orders month second national lockdownBakery employing hundreds workers hit coronaviruscoronavirusIn letter employees leaked StokeonTrentLive, management urged staff follow social distancing guidelines NewsSportWhats OnFollow usFollow usInYourAreaMemoryLaneDiscount CodesPublic NoticesMarketplaceBuy photoAdvertise Us UsWork usSubscriptionsCompetition RulesHow ComplainCorrections ClarificationsPrivacy Notice NoticeNewsletters SignupRSS feedsNotifications Alerts help 2020 Local World | 2,020 | [
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https://www.healthcareitnews.com/news/2020-ai-survey-confidence-artificial-intelligence-expands-health-industry-leaders-project | 2020-11-07T00:00:00 | en | 2020 AI survey: Confidence in artificial intelligence expands as health industry leaders project faster return on investment | Healthcare IT News |
2020 AI survey: Confidence in artificial intelligence expands as health industry leaders project faster return on investment | Healthcare IT News
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Global EditionArtificial Intelligence2020 AI survey: Confidence in artificial intelligence expands as health industry leaders project faster return on investment59% of healthcare executives expect a full return on their AI investments within three years, up from 31% in 2018.
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November 05, 202003:21 PM
Healthcare executives today believe AI will deliver value for the industry faster than previously thought, according to a new survey of senior healthcare executives representing leading hospitals, health plans, life sciences organizations and employers.
The third annual Optum Survey on AI in Health Care found that 59% of respondents expect their organizations to see a full return on their AI investments in under three years. That’s up 90% since 2018, when only 31% of respondents expected to break even that quickly.
The overall anticipated time frame to achieve ROI was 3.6 years in this year’s survey, down from 5.3 years in 2018 and 4.7 years in 2019.
Confidence in recognizing cost savings from AI appeared to increase as organizations progressed on the maturity curve. Among those who identified themselves as being in the late stages of AI deployment, 57% indicated they’d achieve their ROI in less than two years, as compared to respondents in the early (33%) and mid (26%) stages.
The dramatic drop in the amount of time it will take to achieve ROI is underscored by the effects of a turbulent 2020. In fact, 47% of the leaders reported that the effects of the pandemic would delay their achievement of ROI — a finding that suggests the tailwinds of the underlying trend are much stronger than the headwinds of COVID-19 and its economic and social consequences.
AI in the current COVID-19 climate
The survey reported that the executives affirm the strategic importance of AI initiatives in healthcare and that they broadly embrace AI across the industry. Nearly all healthcare leaders—98% of them—have an AI strategy in place or plan to create one. That includes the 44% whose organizations have already implemented theirs.
In the survey, healthcare execs prioritized three applications they planned to tap AI for, and each has immediate implications in the battle against the pandemic and its economic and social consequences as we navigate forward:
Monitor data from the Internet of Things devices, such as wearable technology (40%). Internet-connected remote patient monitoring devices like these enable more complete virtual health offerings. AI can also help identify signals and trends within those data streams.
Accelerate research for new therapeutic or clinical discoveries (37%). AI can help prioritize potential investigative targets for treatments or vaccines.
Assign codes for accurate diagnosis and reimbursement (37%). This helps automate business processes to help organizations achieve more — even when resources are under duress.
AI creates demands for expertise that will take it to the next level
In broadly confirming AI’s strategic value, 95% of healthcare executives said hiring talent with experience developing AI is a priority, with 66% of executives in late stages of AI deployment strongly agreeing, compared to 42% in early and 31% in middle stages.
In addition to building AI competency itself, the ability to act upon AI-driven recommendations is critical. To that end, 92% of the surveyed executives expect that their staff who receive AI-driven insights will understand how the AI works. That finding signals the widespread need for knowledge about analytics, predictions and data streams outside of an organization’s traditional information technology or informatics teams.
Executives were split on hiring advanced analytic talent to build the AI (51%) versus business talent to apply the AI-driven results (49%).
Learn more about what healthcare execs are saying about AI’s power to:
Improve health outcomes
Reduce administrative burden
Enhance consumer experiences
Topics: Artificial Intelligence
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| 2020 AI survey: Confidence in artificial intelligence expands as health industry leaders project faster return on investment | 2020 AI survey: Confidence artificial intelligence expands health industry leaders project faster return investment Healthcare IT News Skip main content Google Tag Manager Email The latest news Healthcare IT straight inbox. News Global Edition daily News Global Edition weekly News Asia Pacific Edition twicemonthly News EuropeUK Edition twicemonthly News Australia Edition weekly Telehealth Connection weekly Cybersecurity Checkup twicemonthly Women Health IT twicemonthly Government Policy twicemonthly Thank subscribing Error Something went wrong Toggle navigation Main Menu Topics Video Analytics Artificial Intelligence Cloud Computing EHR Government Policy Interoperability Patient Engagement Population Health Precision Medicine Privacy Security Telehealth Women In Health IT Regions Asia Pacific EMEA Global Edition By: Sponsored Global EditionArtificial Intelligence2020 AI survey: Confidence artificial intelligence expands health industry leaders project faster return investment59 healthcare executives expect return AI investments years, 31 2018. By: November 05, 202003:21 PM Healthcare executives today believe AI deliver value industry faster previously thought, according new survey senior healthcare executives representing leading hospitals, health plans, life sciences organizations employers. The annual Optum Survey AI Health Care 59 respondents expect organizations return AI investments years. Thats 90 2018, 31 respondents expected break quickly. The overall anticipated time frame achieve ROI 3.6 years years survey, 5.3 years 2018 4.7 years 2019. Confidence recognizing cost savings AI appeared increase organizations progressed maturity curve. Among identified late stages AI deployment, 57 indicated theyd achieve ROI years, compared respondents early 33 mid 26 stages. The dramatic drop time achieve ROI underscored effects turbulent 2020. In fact, 47 leaders reported effects pandemic delay achievement ROI finding suggests tailwinds underlying trend stronger headwinds COVID19 economic social consequences. AI current COVID19 climate The survey reported executives affirm strategic importance AI initiatives healthcare broadly embrace AI industry. Nearly healthcare leaders98 themhave AI strategy place plan create one. That includes 44 organizations implemented theirs. In survey, healthcare execs prioritized applications planned tap AI for, immediate implications battle pandemic economic social consequences navigate forward: Monitor data Internet Things devices, wearable technology 40. Internetconnected remote patient monitoring devices like enable complete virtual health offerings. AI help identify signals trends data streams. Accelerate research new therapeutic clinical discoveries 37. AI help prioritize potential investigative targets treatments vaccines. Assign codes accurate diagnosis reimbursement 37. This helps automate business processes help organizations achieve resources duress. AI creates demands expertise level In broadly confirming AIs strategic value, 95 healthcare executives said hiring talent experience developing AI priority, 66 executives late stages AI deployment strongly agreeing, compared 42 early 31 middle stages. In addition building AI competency itself, ability act AIdriven recommendations critical. To end, 92 surveyed executives expect staff receive AIdriven insights understand AI works. That finding signals widespread need knowledge analytics, predictions data streams outside organizations traditional information technology informatics teams. Executives split hiring advanced analytic talent build AI 51 versus business talent apply AIdriven results 49. Learn healthcare execs saying AIs power to: Improve health outcomes Reduce administrative burden Enhance consumer experiences Topics:Artificial Intelligence More regional news Application period FCC Connected Care Pilot Program open By Mike MiliardNovember 06, 2020 Veterans Health Administration 3D print medical devices By Kat JercichNovember 06, 2020 Vermont governor deploys National Guard response UVM cyberattackBy Kat JercichNovember 06, 2020 Want stories like one? Get daily news updates Healthcare IT News. Your subscription saved. Something went wrong. Please try again. Related Content Top Story University Rochester serves rural patients, reduces ED burden telebehavioral health Most Read South Korean digital solutions showcased HIMSS Health 2.0 European Digital Conference COVID19 shows lifesaving potential working realtime Predictive, proactive, preventive care vision; New legislation needed increase Europes data flow Doctors rate telehealth promising technology COVID19, survey finds AI isnt magic Research White PapersMore Whitepapers InteroperabilityThe Actively Connected Physician: How CMS Mandated ADT Event Notifications Lead Improved Patient Care InteroperabilityEnterprise Imaging: See What Youve Been Missing TelehealthMapping telehealth landscape WebinarsMore Webinars Quality SafetyFactors Successful COVID19 Vaccination Program Privacy SecurityEstablishing Security Cloud Healthcare Solutions Artificial IntelligenceEnabling AIPowered Clinical Decision Support: View C Seats Video Data, intelligence underpin public health decisions Under Armour sells MyFitnessPal 345M; HHS rolls fiveyear health IT plan How telehealth enhancing patientprimary care provider interactions Using data effectively manage prevent pandemics More Stories In May, members Brigham Digital Innovation Hub team promoted Safe Care Ideas initiative stickers salad bowls. Brigham Womens uses crowdsourcing tech aim everyday problems Hospitals said tighten email security response CEO spear phishing attempts Using data effectively manage prevent pandemics New platform aims unite global health care community COVID19 COVID19 leads efficient workforce training Harvard Medical School G Allais, Flickr What leading AMCs teach EHRs COVID19 response NCSA: Confidence security connected devices misplaced TriHealth switches Zoom pandemic, sees 3,650 increase telehealth use More News MobiHealthNews Healthcare Finance News Healthcare Payers News Healthcare IT News Australia The Daily Brief Newsletter News Global Edition daily News Global Edition weekly News Asia Pacific Edition twicemonthly News EuropeUK Edition twicemonthly News Australia Edition weekly Telehealth Connection weekly Cybersecurity Checkup twicemonthly Women Health IT twicemonthly Government Policy twicemonthly Hidden field Thank subscribing Error Something went wrong Digital EventMachine Learning AI Healthcare: Driving outcomes innovationBoston December 12, 2020Learn More Digital EventHealthcare Security Forum: Strategic. Practical. All About [Healthcare] SecurityBoston Dec. 78, 2020Learn More Footer Menu About Advertise Reprints Healthcare IT News Australia 2020 Healthcare IT News publication HIMSS Media X Topics Video Analytics Artificial Intelligence Cloud Computing EHR Government Policy Interoperability Patient Engagement Population Health Precision Medicine Privacy Security Telehealth Women In Health IT Career In Person Events Jobs Learning Center Research Papers Webinars More About Advertise Special Projects Slideshows Video InPerson Events Regions Asia Pacific EMEA Global Edition The Daily Brief Newsletter Get daily news updates Healthcare IT News. Your subscription saved. Something went wrong. Please try again. form Top Stories University Rochester serves rural patients, reduces ED burden telebehavioral health Vermont governor deploys National Guard response UVM cyberattack Data, intelligence underpin public health decisions | 2,020 | [
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] | 1 | POSITIVE | 426 |
https://en.armradio.am/2020/03/22/armen-sarkissian-ai-and-humans-will-co-exist-not-compete-and-ai-will-serve-us-not-the-other-way-round/ | 2020-03-22T00:00:00 | en | Armen Sarkissian: AI and humans will co-exist, not compete, and AI will serve us, not the other way round – Public Radio of Armenia |
Armen Sarkissian: AI and humans will co-exist, not compete, and AI will serve us, not the other way round – Public Radio of Armenia
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Home | All news | Analytics | Armen Sarkissian: AI and humans will co-exist, not compete, and AI will serve us, not the other way round
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Armen Sarkissian: AI and humans will co-exist, not compete, and AI will serve us, not the other way round
Siranush Ghazanchyan
March 22, 2020, 11:28 2 minutes read
Armenia today faces many challenges, but we are embracing technology to drive us forward – Armenia is one of the start-ups of the 21st century, President of the Republic of Armenia Armen Sarkissian writes in an opinion piece for The National.
If 200 years ago we had a pandemic in China it would reach Europe only years later. Today, when the first cases happen in China, the second wave could be documented in Argentina or New York. The same goes for financial risks, the President writes.
According to President
Sarkissian. “Many global risks indeed occur at such speeds, and if we want to
assess them and search for solutions we must change our attitude by using
viable and adaptable methods from physics, chemistry and biology.”
“The first three industrial revolutions were simple to explain. In the first, we discovered how to burn fuel to mechanize production; in the second, we used electricity to make our lives better; and in the third, we learned how to use computers. Even as the world is passing through the fourth industrial revolution – where the digital, biological and physical worlds meet – in the field of Artificial Intelligence (AI), there is a relatively poor understanding of how new computing technologies will adapt to our natural intelligence,” the article continues.
In the rapidly
changing world President Sarkissian predicts we will not be able to distinguish
today’s fourth revolution from the fifth or the sixth and so on.
“Each previous transformation was met with concern about how it would affect our lives and whether it would take away jobs – from the Luddites who fought against mechanization to the fear that computers would put us all out of work,” he adds.
He believes that wile for us humans the entire picture may still appear blurry, AI is here to help us. “With billions of dollars being invested, we are reaping the fruits of AI in medicine, space exploration and other sciences. This is the future and it will alter our understanding and change our lifestyle. The gradual integration of AI from science to the every day has already started to serve as a driving force of technological and civilizational progress. Schools, institutions, universities need to adapt themselves to these new realities, first to stay competitive, and then to be effectively involved in building our common future.”
In a soon-to-be-released book Quantum
Behaviour of Global Risks, Armen Sarkissian will explain how global
risks become quantum. We need to understand that the way human life is evolving
in a digital world, it must factor in risks such as pandemics, terrorism and
financial crises.
One upshot of this, he
says, is that women will have more opportunities than they have had in the
past.
“In Armenia, we have
long acknowledged the importance of treating men and women equally. The First
Armenian Republic of 1918-20 was one of the first states to give women the
right to vote and to be elected to Parliament. The first female ambassador of
modern times was also a woman – Dr Diana Abgar, who served as the Republic’s
ambassador to Japan,” President Sarkissian reminds.
Of course, he says, our
country today faces many challenges, but we are embracing technology to drive
us forward – Armenia is one of the start-ups of the 21st Century.
“Our Advanced Tomorrow
initiative will help us to leverage science and technology and deliver a better
future for all – men and women together,” the President concludes.
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| Armen Sarkissian: AI and humans will co-exist, not compete, and AI will serve us, not the other way round | Armen Sarkissian: AI humans coexist, compete, AI serve us, way round Public Radio Armenia Breaking Presidents Armenia, Israel discuss anticoronavirus measures 1,400 citizens need packages food hygiene supplies Armen Sarkissian: AI humans coexist, compete, AI serve us, way round 190 coronavirus cases, recoveries Armenia Start dreaming planning trip Armenia Georgia The Daily Mail Armenias second coronavirus patient discharged hospital 140 Armenians stranded RussianGeorgian border allowed head home Armenia bans certain types economic activity amid state emergency Celebrating birthday coronavirus quarantine Armenia Georgia declares state emergency COVID19 How Listen All Languages Azrbaycanca Trke Atouraye Kurd zdk Menu Politics Society Economics Analytics World Culture Sport Video Yerevan 13 Home All news Analytics Armen Sarkissian: AI humans coexist, compete, AI serve us, way round AnalyticsTop Armen Sarkissian: AI humans coexist, compete, AI serve us, way round Siranush Ghazanchyan March 22, 2020, 11:28 2 minutes read Armenia today faces challenges, embracing technology drive forward Armenia startups 21st century, President Republic Armenia Armen Sarkissian writes opinion piece The National. If 200 years ago pandemic China reach Europe years later. Today, cases happen China, second wave documented Argentina New York. The goes financial risks, President writes. According President Sarkissian. Many global risks occur speeds, want assess search solutions change attitude viable adaptable methods physics, chemistry biology. The industrial revolutions simple explain. In first, discovered burn fuel mechanize production; second, electricity lives better; third, learned use computers. Even world passing fourth industrial revolution thedigital, biological physical worlds meet field Artificial Intelligence AI, relatively poor understanding new computing technologies adapt natural intelligence, article continues. In rapidly changing world President Sarkissian predicts able distinguish todays fourth revolution fifth sixth on. Each previous transformation met concern affect lives away jobs Luddites fought mechanization fear computers work, adds. He believes wile humans entire picture appear blurry, AI help us. With billions dollars invested, reaping fruits AI medicine, space exploration sciences. This future alter understanding change lifestyle. The gradual integration AI science day started serve driving force technological civilizational progress. Schools, institutions, universities need adapt new realities, stay competitive, effectively involved building common future. In soontobereleased bookQuantum Behaviour Global Risks,Armen Sarkissian explain global risks quantum. We need understand way human life evolving digital world, factor risks pandemics, terrorism financial crises. One upshot this, says, women opportunities past. In Armenia, long acknowledged importance treating men women equally. The First Armenian Republic 191820 states women right vote elected Parliament. The female ambassador modern times woman Dr Diana Abgar, served Republics ambassador Japan, President Sarkissian reminds. Of course, says, country today faces challenges, embracing technology drive forward Armenia startups 21st Century. Our Advanced Tomorrow initiative help leverage science technology deliver better future men women together, President concludes. Show More Share Facebook Twitter Google Reddit VKontakte Share Email Print Related Articles Presidents Armenia, Israel discuss anticoronavirus measures March 22, 2020, 16:25 1,400 citizens need packages food hygiene supplies March 22, 2020, 16:03 190 coronavirus cases, recoveries Armenia March 22, 2020, 10:02 Start dreaming planning trip Armenia Georgia The Daily Mail March 21, 2020, 22:43 Armenias second coronavirus patient discharged hospital March 21, 2020, 21:10 Armenia bans certain types economic activity amid state emergency March 21, 2020, 19:33 Check Also Close Society Celebrating birthday coronavirus quarantine Armenia March 21, 2020, 16:03 Weather Yerevan Scattered Clouds 13 15 9 32 3.1 kmh 15 Sun 16 Mon 18 Tue 17 Wed 18 Thu RecentPopular Presidents Armenia, Israel discuss anticoronavirus measures March 22, 2020, 16:25 1,400 citizens need packages food hygiene supplies March 22, 2020, 16:03 Armen Sarkissian: AI humans coexist, compete, AI serve us, way round March 22, 2020, 11:28 190 coronavirus cases, recoveries Armenia March 22, 2020, 10:02 Start dreaming planning trip Armenia Georgia The Daily Mail March 21, 2020, 22:43 Armenias second coronavirus patient discharged hospital March 21, 2020, 21:10 140 Armenians stranded RussianGeorgian border allowed head home March 21, 2020, 20:23 First human trial COVID19 vaccine developed Noubar Afeyans company starts US March 16, 2020, 22:28 Levon Aronians wife condition road accident March 15, 2020, 11:16 Armenia confirms 30 cases coronavirus March 16, 2020, 11:37 Doctors manage stabilize Arianne Caoilis condition March 15, 2020, 16:23 Photo man disinfecting bus Yerevan makes The Guardians list best pictures March 15, 2020, 19:32 Armenia confirms 78 cases coronavirus March 17, 2020, 22:08 Armenia ban citizens 16 countries March 17, 2020, 16:04 4,583 Fans 1,768 Followers Most viewed Levon Aronians wife condition road accident March 15, 2020, 11:16 Armenia confirms 30 cases coronavirus March 16, 2020, 11:37 Doctors manage stabilize Arianne Caoilis condition March 15, 2020, 16:23 Photo man disinfecting bus Yerevan makes The Guardians list best pictures March 15, 2020, 19:32 Armenia confirms 78 cases coronavirus March 17, 2020, 22:08 Most Viewed Posts March 16, 2020, 22:28 First human trial COVID19 vaccine developed Noubar Afeyans company starts US March 15, 2020, 11:16 Levon Aronians wife condition road accident March 16, 2020, 11:37 Armenia confirms 30 cases coronavirus TagsArmenia Armenian Genocide Azerbaijan Edward Nalbandian EU Football Henrikh Mkhitaryan NagornoKarabakh OSCE OSCE Minsk Group presidential elections Russia Serzh Sargsyan Syria Turkey Ukraine UN US Instagram Twitter 190 coronavirus cases, recoveries Armenia 6 hours ago 190 coronavirus cases, recoveries Armenia 6 hours ago Start dreaming planning trip Armenia Georgia The Daily Mail 18 hours ago Follow Twitter Republic Armenia 0025 Yerevan, 5 Alex Manoogian str. Tel. 00 37410 570970 Fax 00 37412 570007 20132020 Public Radio Armenia Reproduction prohibited reference Public Radio Armenia. For information questions concerning website contact following address [emailprotected] If like insert advertisment website write following address [emailprotected] Facebook Twitter Google WhatsApp Telegram Viber Back button Close for: Popular Posts First human trial COVID19 vaccine developed Noubar Afeyans company starts US March 16, 2020, 22:28 Levon Aronians wife condition road accident March 15, 2020, 11:16 Armenia confirms 30 cases coronavirus March 16, 2020, 11:37 Doctors manage stabilize Arianne Caoilis condition March 15, 2020, 16:23 Photo man disinfecting bus Yerevan makes The Guardians list best pictures March 15, 2020, 19:32 Close Log In Forget? Remember Log In | 2,020 | [
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https://www.forbes.com/sites/joemckendrick/2020/03/30/artificial-intelligence-cant-create-markets-on-its-own/ | 2020-03-31T00:00:00 | en | Artificial Intelligence Can’t Create Markets On Its Own | Artificial Intelligence Can’t Create Markets On Its OwnSign in to your Forbes account orregisterPlease help us continue to provide you with free, quality journalism by turning off your ad blocker on our site.For instructions on how to disable your ad blocker, click here.I’ve Turned Off My Ad BlockerOr Sign In To Continue Using An Ad BlockerThank you for signing in.If this is your first time registering, please check your inbox for more information about the benefits of your Forbes account and what you can do next!I agree to receive occasional updates and announcements about Forbes products and services. You may opt out at any time.I'd like to receive the Forbes Daily Dozen newsletter to get the top 12 headlines every morning.Forbes takes privacy seriously and is committed to transparency. We will never share your email address with third parties without your permission. By signing in, you are indicating that you accept our Terms of Service and Privacy Statement.BillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCIO NetworkCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice | Paid ProgramGamesGreen TechHealthcareOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleAmway BrandVoice | Paid ProgramArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Travel Credit CardsBest Business Credit CardsBest Credit Card Sign Up BonusesBest Rewards Credit CardsBest Student Credit CardsBest Cash Back Credit CardsBest Balance Transfer Credit CardsBest Hotel Credit CardsBest Airline Credit CardsBest First Credit CardsBest Credit Cards For Bad CreditChase Sapphire Preferred CardCiti Double Cash CardThe Platinum Card From American Express Ink Business Preferred Credit CardBank of America Premium Rewards Credit Card Chase Sapphire Reserve CardBest Tax Software of 2020Best Travel Insurance CompaniesFeatured5 Innovations Changing The Future Of Food30 Under 30 2020AARP BrandVoice | Paid ProgramChase Home Lending BrandVoice | Paid ProgramCole Haan BrandVoice | Paid ProgramDNA Of SuccessForbes AI: Forbes Insights With IBM | Paid ProgramForbes Analytics Plus With Teradata | Paid ProgramForbes Insights With Arm Treasure DataInvestor Forecast: 5 Key Trends Shaping Your Financial FutureMoney 2020Set Up For Success: Scale Your Small BusinessThe Leukemia & Lymphoma Society BrandVoice | Paid ProgramToday's Military BrandVoice | Paid ProgramVoices Of SuccessWell Earned: The World's Wealthiest Celebrate New MilestonesBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit StoryMar 30, 2020,11:10pm EDTArtificial Intelligence Can’t Create Markets On Its OwnJoe McKendrickContributorOpinions expressed by Forbes Contributors are their own.Enterprise TechI track how technology innovations move markets and careersShare to FacebookShare to TwitterShare to Linkedin
Eric Schmidt: People make the world go round. (Photo by John Lamparski/Getty Images)
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There’s plenty of consternation about artificial intelligence replacing many jobs and roles across the economic spectrum, — from salespeople to truck drivers to doctors. It’s worth mentioning, however, that market dominance will go to those innovators — human innovators, that is — who can assemble AI and machine learning-based components to move products and services more efficiently to customers. Successful entrepreneurs from this point forward will be maestros who can lead an AI symphony.
The people who know how to put this all together will make the world go round. While AI is making many world-changing accomplishments possible — from self-driving cars to biological breakthroughs — none of this is possible without motivated, involved people. This is where too many companies still fall flat.
Eric Schmidt, former chairman of Alphabet/Google, knows a thing or two about the power of motivated, talented people. Speaking at the recent McKinsey BLINK Conference in the United Kingdom, he stated that all the data in the world won’t matter without the right talent.
He even shot down the conventional wisdom that having a wealth of data will put a company ahead of the game. With evolving AI solutions, large caches of data may not be required. “There’s a great deal of research on how to build algorithms using much less data than is currently required,” he explained. “This notion that he or she who has the most data wins is ultimately going to be a temporal phenomenon.”
If not data, what will give companies the edge in an intensely competition digital landscape? “What we’ll discover is that he or she who has the smartest engineers developing the smartest algorithms is the one who will win,” he says.
This power flows from people “who are willing to take risks and drive societal change,” he continues. “Exceptional people are the ones who change society. They’re just born different and are insanely capable—and they’re rare. Thanks to the internet and the fact that about half the people in the world have a smartphone, we can reach these people in a way we couldn’t before.”
Exceptional AI innovators won’t just come out of IT departments, either. A recent Gartner analysis finds the strongest demand for AI talent hasn’t come from the IT department, but rather, from other business units in the organization. Though the IT department’s need for AI talent has tripled between 2015 and 2019, the number of AI jobs posted by IT is still less than half of that stemming from other business units, the consultancy reports. Non-IT AI postings grew by 74% between 2015 and 2019, Gartner analysts state — compared to 36% growth in IT-related positions.
This points to the increasing impact AI is having on the way business is conducted — and the fact it is opening up opportunities that are only limited by imagination. Machines will not dominate the future — people with imagine will.
Follow me on Twitter. Joe McKendrickI am an author, independent researcher and speaker exploring innovation, information technology trends and markets. I am also a co-author of the SOA Manifesto, which… Read MoreI am an author, independent researcher and speaker exploring innovation, information technology trends and markets. I am also a co-author of the SOA Manifesto, which outlines the values and guiding principles of service orientation in business and IT. I served on the organizing committee for the recent IEEE International Conference on Edge Computing, and was active on the program committee of the International SOA and Cloud Symposium series.
Much of my research work is in conjunction with Forbes Insights and Unisphere Research/ Information Today, Inc., covering topics such as cloud computing, digital transformation, enterprise mobility, and big data analytics. I am also a contributor to CBS interactive, authoring the ZDNet "Service Oriented" site.
In a previous life, I served as communications and research manager of the Administrative Management Society (AMS), an international professional association dedicated to advancing knowledge within the IT and business management fields. I am a graduate of Temple University. Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices | Artificial Intelligence Can’t Create Markets On Its Own | Artificial Intelligence Cant Create Markets On Its OwnSign Forbes accountorregisterPlease help continue provide free, quality journalism turning ad blocker site.For instructions disable ad blocker,click here.Ive Turned Off My Ad BlockerOr To Continue Using An Ad BlockerThank signing in.If time registering, check inbox information benefits Forbes account nextI agree receive occasional updates announcements Forbes products services. You opt time.Id like receive Forbes Daily Dozen newsletter 12 headlines morning.Forbes takes privacy seriously committed transparency. We share email address parties permission. By signing in, indicating accept ourandPrivacy Statement.BillionairesAll BillionairesWorlds BillionairesForbes 400Americas Richest SelfMade WomenChinas RichestIndias RichestIndonesias RichestKoreas RichestThailands RichestJapans RichestAustralias RichestTaiwans RichestSingapores RichestPhilippines RichestHong Kongs RichestMalaysias RichestMoney Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCIO NetworkCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice Paid ProgramGamesGreen TechHealthcareOracle BrandVoice Paid ProgramSAP BrandVoice Paid ProgramScienceServiceNow BrandVoice Paid ProgramSocial MediaTMobile For Business BrandVoice Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCMO NetworkDeloitte BrandVoice Paid ProgramDiversity lusionEducationForbesWomenGoogle Cloud BrandVoice Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking InsuranceCrypto BlockchainETFs Mutual FundsFintechHedge Funds Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesWealth ManagementBusinessAll BusinessAerospace DefenseEnergyFood DrinkHollywood EntertainmentManufacturingMediaMitsubishi Heavy Industries BrandVoice Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleAmway BrandVoice Paid ProgramArtsBoats PlanesCars BikesDiningForbesLifeForbes Travel GuideSpiritsTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Travel Credit CardsBest Business Credit CardsBest Credit Card Sign Up BonusesBest Rewards Credit CardsBest Student Credit CardsBest Cash Back Credit CardsBest Balance Transfer Credit CardsBest Hotel Credit CardsBest Airline Credit CardsBest First Credit CardsBest Credit Cards For Bad CreditChase Sapphire Preferred CardCiti Double Cash CardThe Platinum Card From American Express Ink Business Preferred Credit CardBank America Premium Rewards Credit Card Chase Sapphire Reserve CardBest Tax Software 2020Best Travel Insurance CompaniesFeatured5 Innovations Changing The Future Of Food30 Under 30 2020AARP BrandVoice Paid ProgramChase Home Lending BrandVoice Paid ProgramCole Haan BrandVoice Paid ProgramDNA Of SuccessForbes AI: Forbes Insights With IBM Paid ProgramForbes Analytics Plus With Teradata Paid ProgramForbes Insights With Arm Treasure DataInvestor Forecast: 5 Key Trends Shaping Your Financial FutureMoney 2020Set Up For Success: Scale Your Small BusinessThe Leukemia Lymphoma Society BrandVoice Paid ProgramTodays Military BrandVoice Paid ProgramVoices Of SuccessWell Earned: The Worlds Wealthiest Celebrate New MilestonesBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. BETAThis BETA experience. You optout byclicking hereEdit StoryMar 30, 2020,11:10pm EDTArtificial Intelligence Cant Create Markets On Its OwnJoe McKendrickContributorOpinions expressed Forbes Contributors own.Enterprise TechI track technology innovations markets careersShare FacebookShare TwitterShare Linkedin Eric Schmidt: People world round. Photo John LamparskiGetty Images Getty Images Theres plenty consternation artificial intelligence replacing jobs roles economic spectrum, salespeople truck drivers doctors. Its worth mentioning, however, market dominance innovators human innovators, assemble AI machine learningbased components products services efficiently customers. Successful entrepreneurs point forward maestros lead AI symphony. The people know world round. While AI making worldchanging accomplishments possible selfdriving cars biological breakthroughs possible motivated, involved people. This companies fall flat. Eric Schmidt, chairman AlphabetGoogle, knows thing power motivated, talented people. Speaking recent McKinseyBLINK Conferencein United Kingdom, stated data world wont matter right talent. He shot conventional wisdom wealth data company ahead game. With evolving AI solutions, large caches data required. Theres great deal research build algorithms data currently required, explained. This notion data wins ultimately going temporal phenomenon. If data, companies edge intensely competition digital landscape? What discover smartest engineers developing smartest algorithms win, says. This power flows people willing risks drive societal change, continues. Exceptional people ones change society. Theyre born different insanely capableand theyre rare. Thanks internet fact half people world smartphone, reach people way before. Exceptional AI innovators wont come IT departments, either. A recent Gartner analysis finds strongest demand AI talent come IT department, rather, business units organization. Though IT departments need AI talent tripled 2015 2019, number AI jobs posted IT half stemming business units, consultancy reports. NonIT AI postings grew 74 2015 2019, Gartner analysts state compared 36 growth ITrelated positions. This points increasing impact AI way business conducted fact opening opportunities limited imagination. Machines dominate future people imagine will. Follow onTwitter.Joe McKendrickI author, independent researcher speaker exploring innovation, information technology trends markets. I coauthor SOA Manifesto, whichRead MoreI author, independent researcher speaker exploring innovation, information technology trends markets. I coauthor SOA Manifesto, outlines values guiding principles service orientation business IT. I served organizing committee recent IEEE International Conference Edge Computing, active program committee International SOA Cloud Symposium series. Much research work conjunction Forbes Insights Unisphere Research Information Today, ., covering topics cloud computing, digital transformation, enterprise mobility, big data analytics. I contributor CBS interactive, authoring ZDNet Service Oriented site. In previous life, I served communications research manager Administrative Management Society AMS, international professional association dedicated advancing knowledge IT business management fields. I graduate Temple University.Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices | 2,020 | [
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https://www.archdaily.com/948764/big-designs-ai-city-an-innovation-campus-hosting-headquarters-of-tech-firm-in-chongqing-china?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+ArchDaily+%28ArchDaily%29 | 2020-09-30T00:00:00 | en | BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China | ArchDaily | BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China | ArchDaily
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BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China
BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, ChinaSave this articleSaveBIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China
Save this picture!Courtesy of Lucian R and BIGWritten by Christele HarroukSeptember 30
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CopyBIG has unveiled its design for AI CITY, the future home for Terminus Group, a smart service provider. Imagined as the new center of innovation for China, the project will be dedicated to "artificial intelligence, robotics, networking, and big data”. Located in Chongqing, in southwest China, known as the “mountain city”, the project is set within the Chongqing Hi-Tech Industrial Development Zone.+ 24The hi-tech campus AI CITY will house the headquarters of the world-leading smart service provider shaping the next generation of technology and cities, Terminus Group. The first phase of the master plan consists of a 75,000m2 Cloud Valley, “conceived as two plots along Xinzhou Avenue and Gaoxin Avenue that mimic each other's opposites”. In fact, BIG's proposal draws inspiration from the surrounding landscape.Save this picture!Courtesy of Lucian R and BIG In AI CITY, Cloud Valley is envisioned as a city where people, technology, and nature thrive together – with spaces designed for all types of life: human life, plant life, animal life, and even artificial life. -- Bjarke Ingels, Founder & Creative Director of BIG-Bjarke Ingels Group. Related Article BIG, Hijjas and Ramboll Win International Competition to Design a Master Plan for Penang South Islands, Malaysia Save this picture!Courtesy of BIG“There is the Mountain, which forms a striking landmark in the area that gives shelter to a protected network of courtyards filled with inviting public functions. Then there is the Valley, which offers the largest publicly accessible green rooftops in China for open-air events”. Open to the public below the roof, the neighborhood is invited to the premises.Save this picture!Courtesy of Lucian R and BIGOne of the most important components, the roofscape allows for an abundance of nature to co-exist with the office programs, as well as “embodying an ecological cohesive coexistence between human, nature, climate, and technology”. In fact, the green roof turns into the largest digital display in China at night. Moreover, the roof lush garden can be accessed from the central courtyard mainly. With a façade more transparent than usual, further extensions of the rooftop protect the facades and exterior public spaces from sun radiation and heavy rain.Save this picture!Courtesy of BIGFostering technology companies that aim to advance the future of artificial intelligence and robotics, AI CITY will build the foundations of a new sustainable development, where barriers between nature, buildings, and AI will be removed. Generous green courtyards with natural light and ventilation will host specific public activities, while Sports events, art exhibitions, and product fairs will take place in the technological park spread between the buildings. On another hand, newly created spaces including AI exhibition spaces, markets, and cafés will invite the public to join under the roof. “Throughout AI CITY, e-bikes, robotic vehicles, and self-driving cars will define a new, smart mobility system”.Save this picture!Courtesy of BIGAI CITY Name: AI CITY Size: 135,000m2 Location: Chongqing, China Client: Terminus Group Collaborators: LDI: Huiting; Green Building Consultant: CMCU; Facade consultant: Forster; Structure Consultant: BIG E Design firm: BIG – BJARKE INGELS GROUP (www.big.dk) Partners-in-Charge: Bjarke Ingels, Jakob Lange, Ole Elkjær Larsen Project Leaders: Per Bo Madsen, Nanna Gyldeholm Møller, Dominic James Black, Gabrielle Nadeau, Dora Jiabao Lin, Enea Michelesio Team: Biqin Li, Yara Rahme, Natchaluck Radomsittipat, Ipek Akin, Linnea Lujak, Laura Wätte, Peter Mortensen, Sergiu Calacean, Mattia Di Carlo, Høgni Laksafoss, Jan Magasanik, Eddie Can, Annette Jensen, Mussa Algasra, Marcela Dominika Rydalska, Laurent De Carniere, Cheng-Huang Lin, Nandi Lu, Henrik Jacobsen, Seda Yildiz, Lucas Coelho Netto, Marah Wagner, Vladislav Saprunenko, Jean-Sébastien Pagnon, Dimitrie Grigorescu, Alexander Matthias Jacobson, Kamila Abbiazova, Katrine Juul, Ella Murphy, Tore Banke, Cristian Teodor Fratila, Frederic Lucien Engasser, Ulla Hornsyld, Paul Johann Kohlhaussen, Eric Li, Erik Kreider, Karolina Lepa-Stewart, Tristan Harvey, Miles Treacy, Timo Harboe Nielsen, Andy Coward, Qingfeng Li, Milan Moldenhawer, Mamak Mazaheri, Daniel Ferrara Bilesky, Jesper Petersen
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#TagsNewsArchitecture NewsBjarke Ingels GroupChongqingHeadquartersCampusInnovation campusBIGAIArtificial IntelligenceTechnologyChinaCite: Christele Harrouk. "BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China" 30 Sep 2020. ArchDaily. Accessed . <https://www.archdaily.com/948764/big-designs-ai-city-an-innovation-campus-hosting-headquarters-of-tech-firm-in-chongqing-china> ISSN 0719-8884
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| BIG Designs AI CITY, an Innovation Campus Hosting Headquarters of Tech Firm in Chongqing, China | BIG Designs AI CITY, Innovation Campus Hosting Headquarters Tech Firm Chongqing, China ArchDaily Submit Project Advertise World Brasil Hispanoamrica Mxico worlds visited architecture website Submit Project Advertise World Brasil Hispanoamrica Mxico Projects Cultural Architecture Educational Architecture Sports Architecture Hospitality Architecture Interior Design Healthcare Architecture Industrial Infrastructure Landscape Urbanism Commercial Offices Public Architecture Refurbishment Architecture Religious Architecture Residential Architecture Top 100 Products BIM BIM Finishes Construction Materials Equipment MEP HVAC Technology Applications Outdoor Spaces Guides Innovation Manufacturers News Articles Monthly Topics Climate Crisis Raw Materials Interiors Artificial Intelligence Emergency Architecture Visualizations Recycled Materials How Will We Live Together? 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About Work ArchDaily Terms Use Policy RSS Newsletter facebook twitter flickr pinterest instagram vimeo youtube Projects Products BIM Folders News Projects News Topics Products BIM Interviews Competitions Events About Submit Advertise Change country Log Back News Articles Monthly Topics Refurbishment Top 100 Brasil Hispanoamrica Mxico Home Projects Products Folders Feed ArchDaily Architecture News BIG Designs AI CITY, Innovation Campus Hosting Headquarters Tech Firm Chongqing, China BIG Designs AI CITY, Innovation Campus Hosting Headquarters Tech Firm Chongqing, ChinaSave articleSaveBIG Designs AI CITY, Innovation Campus Hosting Headquarters Tech Firm Chongqing, China Save pictureCourtesy Lucian R BIGWritten Christele HarroukSeptember 30 Share ShareFacebookTwitterPinterestWhatsappMailOr Clipboard COPY CopyBIG unveiled design AI CITY, future home Terminus Group, smart service provider. Imagined new center innovation China, project dedicated artificial intelligence, robotics, networking, big data. Located Chongqing, southwest China, known mountain city, project set Chongqing HiTech Industrial Development Zone. 24The hitech campus AI CITY house headquarters worldleading smart service provider shaping generation technology cities, Terminus Group. The phase master plan consists 75,000m2 Cloud Valley, conceived plots Xinzhou Avenue Gaoxin Avenue mimic opposites. In fact, BIGs proposal draws inspiration surrounding landscape.Save pictureCourtesy Lucian R BIG In AI CITY, Cloud Valley envisioned city people, technology, nature thrive spaces designed types life: human life, plant life, animal life, artificial life. Bjarke Ingels, Founder Creative Director BIGBjarke Ingels Group. Related Article BIG, Hijjas Ramboll Win International Competition Design Master Plan Penang South Islands, Malaysia Save pictureCourtesy BIGThere Mountain, forms striking landmark area gives shelter protected network courtyards filled inviting public functions. Then Valley, offers largest publicly accessible green rooftops China openair events. Open public roof, neighborhood invited premises.Save pictureCourtesy Lucian R BIGOne important components, roofscape allows abundance nature coexist office programs, embodying ecological cohesive coexistence human, nature, climate, technology. In fact, green roof turns largest digital display China night. Moreover, roof lush garden accessed central courtyard mainly. With faade transparent usual, extensions rooftop protect facades exterior public spaces sun radiation heavy rain.Save pictureCourtesy BIGFostering technology companies aim advance future artificial intelligence robotics, AI CITY build foundations new sustainable development, barriers nature, buildings, AI removed. Generous green courtyards natural light ventilation host specific public activities, Sports events, art exhibitions, product fairs place technological park spread buildings. On hand, newly created spaces including AI exhibition spaces, markets, cafs invite public join roof. Throughout AI CITY, ebikes, robotic vehicles, selfdriving cars define new, smart mobility system.Save pictureCourtesy BIGAI CITY Name: AI CITY Size: 135,000m2 Location: Chongqing, China Client: Terminus Group Collaborators: LDI: Huiting; Green Building Consultant: CMCU; Facade consultant: Forster; Structure Consultant: BIG E Design firm: BIG BJARKE INGELS GROUP PartnersinCharge: Bjarke Ingels, Jakob Lange, Ole Elkjr Larsen Project Leaders: Per Bo Madsen, Nanna Gyldeholm Mller, Dominic James Black, Gabrielle Nadeau, Dora Jiabao Lin, Enea Michelesio Team: Biqin Li, Yara Rahme, Natchaluck Radomsittipat, Ipek Akin, Linnea Lujak, Laura Wtte, Peter Mortensen, Sergiu Calacean, Mattia Di Carlo, Hgni Laksafoss, Jan Magasanik, Eddie Can, Annette Jensen, Mussa Algasra, Marcela Dominika Rydalska, Laurent De Carniere, ChengHuang Lin, Nandi Lu, Henrik Jacobsen, Seda Yildiz, Lucas Coelho Netto, Marah Wagner, Vladislav Saprunenko, JeanSbastien Pagnon, Dimitrie Grigorescu, Alexander Matthias Jacobson, Kamila Abbiazova, Katrine Juul, Ella Murphy, Tore Banke, Cristian Teodor Fratila, Frederic Lucien Engasser, Ulla Hornsyld, Paul Johann Kohlhaussen, Eric Li, Erik Kreider, Karolina LepaStewart, Tristan Harvey, Miles Treacy, Timo Harboe Nielsen, Andy Coward, Qingfeng Li, Milan Moldenhawer, Mamak Mazaheri, Daniel Ferrara Bilesky, Jesper Petersen Image gallerySee allShow Share ShareFacebookTwitterPinterestWhatsappMailOr Clipboard COPY CopyAbout authorChristele HarroukAuthor TagsNewsArchitecture NewsBjarke Ingels GroupChongqingHeadquartersCampusInnovation campusBIGAIArtificial IntelligenceTechnologyChinaCite: Christele Harrouk. BIG Designs AI CITY, Innovation Campus Hosting Headquarters Tech Firm Chongqing, China 30 Sep 2020. ArchDaily. Accessed . < ISSN 07198884 Please enable JavaScript view thecomments powered Disqus.SaveArchDaily? ArchDaily?Take Youve started following accountDid know?Youll receive updates based follow Personalize stream start following favorite authors, offices users.Go stream | 2,020 | [
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Home News Artificial Intelligence Model Can Detect COVID-19 Just By Listening to Coughs!
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Artificial Intelligence Model Can Detect COVID-19 Just By Listening to Coughs!
By Tony Winterburn - 4 November 2020 @ 21:44 0
Artificial Intelligence Model Can Detect COVID-19 Just By Listening to Coughs!
-- Advertisement --
MIT researchers in America have developed an artificial intelligence tool that listens to a person’s coughing to determine whether or not they may have COVID-19, regardless if they are or are not symptomatic, according to new research recently published.
To build it, the researchers collected thousands of audio recordings of individuals coughing and accompanying information about their condition through an opening online website. This effort yielded a dataset of more than 70,000 recordings containing an average of three coughs per subject – and an estimated 2,660 subjects with a positive case, to date.
The algorithm is based on previous models the team developed to detect conditions such as pneumonia, asthma and even Alzheimer’s disease, a memory-loss condition that can also cause other degradation in the body such as weakened vocal cords and respiratory performance.
The technical stuff
Using these COVID-19 cough recordings and an equal number of COVID-19 negative samples randomly selected from the dataset (n = 5,320), the researchers developed, trained and validated a convolutional neural network-based model that listens for specific acoustic biomarkers related to muscular degradation, vocal cord changes, sentiment or mood changes, and changes in the lungs or respiratory tract.
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| Artificial Intelligence Model Detect COVID-19 Just By Listening to Coughs! | Artificial Intelligence Model Detect COVID19 Just By Listening Coughs News News Brief News Costa del Sol News Malaga News Costa Blanca North Alicante Benidorm News Costa Blanca South Torrevieja Alicante News Costa Almera News Axarqua Costa Tropical News Mallorca News Canary Islands News Spain News Madrid News Gibraltar News UK News Sweden News Portugal News Italy News France News USA World News Sport News Finance EXPAT Lifestyle Life management Horoscopes Boating Property Costa Women Living Spain Health Beauty Homes Gardens Motoring Pets Forever Homes Bacchus Cellar Tech Timid Food Technology Travel Columnists Leapy Lee Barry Duke Cassandra Nash David Searle David Worboys Dione Farzana Suri John Sharples Lamia Walker Mark Slack Mike Senker Ms Bipolar Nora Johnson Nicole King Rob Shallis Steven Saunders TV Guide Puzzles Crosswords EPAPERS CONTACT EWN Details Got story want share? Advertising Us Euro Weekly News Offices Sign WelcomeLog account username password Forgot password? POLTICA DE PRIVACIDAD DEL SITIO WEB Password recovery Recover password email NewsPaper art publishing News News Brief News Costa del Sol News Malaga News Costa Blanca North Alicante Benidorm News Costa Blanca South Torrevieja Alicante News Costa Almera News Axarqua Costa Tropical News Mallorca News Canary Islands News Spain News Madrid News Gibraltar News UK News Sweden News Portugal News Italy News France News USA World News Sport News Finance EXPAT Lifestyle Life management Horoscopes Boating Property Costa Women Living Spain Health Beauty Homes Gardens Motoring Pets Forever Homes Bacchus Cellar Tech Timid Food Technology Travel Columnists Leapy Lee Barry Duke Cassandra Nash David Searle David Worboys Dione Farzana Suri John Sharples Lamia Walker Mark Slack Mike Senker Ms Bipolar Nora Johnson Nicole King Rob Shallis Steven Saunders TV Guide Puzzles Crosswords EPAPERS CONTACT EWN Details Got story want share? Advertising Us Euro Weekly News Offices More Home News Artificial Intelligence Model Can Detect COVID19 Just By Listening Coughs NewsWorld News Artificial Intelligence Model Can Detect COVID19 Just By Listening Coughs By Tony Winterburn 4 November 2020 @ 21:44 0 Artificial Intelligence Model Can Detect COVID19 Just By Listening Coughs Advertisement MIT researchers America developed artificial intelligence tool listens persons coughing determine COVID19, regardless symptomatic, according new research recently published. To build it, researchers collected thousands audio recordings individuals coughing accompanying information condition opening online website. This effort yielded dataset 70,000 recordings containing average coughs subject estimated 2,660 subjects positive case, date. The algorithm based previous models team developed detect conditions aspneumonia,asthmaand evenAlzheimers disease, memoryloss condition cause degradation body weakened vocal cords respiratory performance. The technical stuff Using COVID19 cough recordings equal number COVID19 negative samples randomly selected dataset n = 5,320, researchers developed, trained validated convolutionalneural networkbased model listens specific acoustic biomarkers related muscular degradation, vocal cord changes, sentiment mood changes, changes lungs respiratory tract. Thank taking time read news article Artificial Intelligence Model Can Detect COVID19 Just By Listening Coughs. For UK daily news, Spanish daily news Global news stories, visit Euro Weekly News home . Euro Weekly News delighted continue able bring range News Spain English Global News live happens. Euro Weekly News doesnt cost internet connection. Whether bringing local Spanish news International news today, weve got covered Euro Weekly News, leading free local national newspaper Spain, peoples paper, lead follow Top News Bird Flu Outbreak 13,000 chickens Set Culled Farm Cheshire News Breaking News Trump files lawsuit halt Michigan count Previous articleMurderers ram getting day releaseNext articleBird Flu Outbreak 13,000 chickens Set Culled Farm Cheshire Tony Winterburn story emailing newsdesk calling 34 951 38 61 61 messaging Facebook LEAVE A COMMENT Cancel comment Please enter comment Please enter You entered incorrect email address Please enter email address Save email browser time I comment. Daily news alerts Euro Weekly News alerts latest stories inbox Your privacy ensured base Regulation EU 2016679 General Data Protection Regulation Follow Instagram Euro Weekly News Media Group, Avenida Ramon Cajal 54, Edificio River Playa, Local 2, 29640 Fuengirola, Malaga, Spain. You reach email phone. 34 951 38 61 61 sales us: info FacebookInstagramLinkedinRSSTwitterYoutube 2018 EWN Media Group. No website reproduced written permission publishers. . Us | 2,020 | [
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https://www.prnewswire.com/il/news-releases/core-scientific-and-sqream-team-up-to-accelerate-massive-data-analytics-on-gpu-cloud-for-data-scientists-301046164.html | 2020-04-24T00:00:00 | en | Core Scientific and SQream Team Up to Accelerate Massive Data Analytics on GPU Cloud for Data Scientists |
Core Scientific and SQream Team Up to Accelerate Massive Data Analytics on GPU Cloud for Data Scientists
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Core Scientific and SQream Team Up to Accelerate Massive Data Analytics on GPU Cloud for Data Scientists
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Partnership Provides Organizations with Access to High Performance Computing to Gain Actionable Insights from their Very Large Data Stores
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23 Apr, 2020, 16:30 IDT
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BELLEVUE, Washington, April 23, 2020 /PRNewswire/ -- Core Scientific, the leader in best-in-class artificial intelligence and blockchain cloud infrastructure and software solutions, and SQream, a leader in GPU-accelerated analytics, today announced a partnership to bring accelerated analytics of massive data to the GPU Cloud for Data Scientists. This partnership provides cost effective accelerated analytics based on GPU computing for machine learning and deep learning used by telecom operators, financial services, healthcare organizations, pharmaceutical companies and more.
Core Scientific is a leader in artificial intelligence and blockchain technologies, delivering best-in-class infrastructure and software solutions. Announced earlier this year, the Cloud for Data Scientists brings the ease of the public cloud with the myriad of benefits of co-location. SQream DB enables enterprises to quickly and easily load massive volumes of data in the range of terabytes to petabytes for analysis, while generating higher quality business intelligence faster than any other data store at these volumes.
"SQream running on the Cloud for Data Scientists empowers customers to turn massive datasets into more comprehensive and timely insights that have a direct impact on business performance," said Ian Ferreira, Chief Product Officer, Core Scientific. "This new offering is proof of our commitment to empower data scientists to take on the most challenging problems by partnering with leaders in GPU hardware and software."
"The availability of the SQream DB on Core Scientific's near-cloud infrastructure will provide data science customers with the excellent performance, scale and functionality needed to compete and grow their business," said Ami Gal, CEO, SQream. "This partnership will make SQream DB's accelerated analytics platform accessible to more organizations, enabling them to rapidly analyze significantly more data, for better decision making insights."
Contact SQream here for more information on accessing SQream with Core Scientific.
About SQream
SQream develops and markets SQream DB, designed to obtain unparalleled analytic insights from massive data stores. Global enterprises and solution vendors use SQream DB to analyze more data than ever before, while achieving improved performance, reduced footprint, significant cost savings and the ability to scale the amount of data they analyze to hundreds of terabytes and more. SQream DB is available both on premise and in the cloud. To learn more, visit www.sqream.com or follow us on twitter @sqreamtech.
About Core Scientific
Led by a team that has a 10+ year AI success story, Core Scientific provides custom hosting solutions at scale. To learn more, visit www.corescientific.com.
Media ContactInbal Aharoni, Director of Marketing SQream+972-50-877-6797 [email protected]
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| Core Scientific and SQream Team Up to Accelerate Massive Data Analytics on GPU Cloud for Data Scientists | Core Scientific SQream Team Up Accelerate Massive Data Analytics GPU Cloud Data Scientists Back Global Sites 972772005042 Blog Journalists GDPR Send Release News Products Send Release Telephone 972772005042 8 AM 11 PM IL 972772005042 8 AM 11 PM IL Request More Information Journalists GDPR Request More Information Journalists GDPR Request More Information Journalists GDPR Request More Information Journalists GDPR News Products Telephone 972772005042 8 AM 11 PM IL 972772005042 8 AM 11 PM IL Send Release Core Scientific SQream Team Up Accelerate Massive Data Analytics GPU Cloud Data Scientists English English English Partnership Provides Organizations Access High Performance Computing Gain Actionable Insights Very Large Data Stores News provided SQream 23 Apr, 2020, 16:30 IDT Share article BELLEVUE, Washington, April 23, 2020 PRNewswire Core Scientific, leader bestinclass artificial intelligence blockchain cloud infrastructure software solutions, SQream, leader GPUaccelerated analytics, today announced partnership bring accelerated analytics massive data GPU Cloud Data Scientists. This partnership provides cost effective accelerated analytics based GPU computing machine learning deep learning telecom operators, financial services, healthcare organizations, pharmaceutical companies more. Core Scientific leader artificial intelligence blockchain technologies, delivering bestinclass infrastructure software solutions. Announced earlier year, Cloud Data Scientists brings ease public cloud myriad benefits colocation. SQream DB enables enterprises quickly easily load massive volumes data range terabytes petabytes analysis, generating higher quality business intelligence faster data store volumes. SQream running Cloud Data Scientists empowers customers turn massive datasets comprehensive timely insights direct impact business performance, said Ian Ferreira, Chief Product Officer, Core Scientific. This new offering proof commitment empower data scientists challenging problems partnering leaders GPU hardware software. The availability SQream DB Core Scientifics nearcloud infrastructure provide data science customers excellent performance, scale functionality needed compete grow business, said Ami Gal, CEO, SQream. This partnership SQream DBs accelerated analytics platform accessible organizations, enabling rapidly analyze significantly data, better decision making insights. SQream herefor information accessing SQream Core Scientific. About SQream SQream develops markets SQream DB, designed obtain unparalleled analytic insights massive data stores. Global enterprises solution vendors use SQream DB analyze data before, achieving improved performance, reduced footprint, significant cost savings ability scale data analyze hundreds terabytes more. SQream DB available premise cloud. To learn more, visit follow twitter About Core Scientific Led team 10 year AI success story, Core Scientific provides custom hosting solutions scale. To learn more, visit Media Inbal Aharoni, Director Marketing SQream972508776797 [emailprotected] Spicetree CommunicationsWes Rogers19125060869 [emailprotected] Media Core ScientificMichael Bros, VP4258221466 [emailprotected] SOURCE SQream Modal title Also source SQream Offers Free Licenses Organizations Using Data Analytics ... SQream Offers Free Licenses Organizations Using Data Analytics ... Explore More news releases similar topics Data Analytics Computer Electronics Computer Software Blockchain Contracts You read: Core Scientific SQream Team Up Accelerate Massive Data Analytics GPU Cloud Data Scientists News provided SQream 23 Apr, 2020, 16:30 IDT Share article Share article PR Newswire 972772005042 8 AM 11 PM IL 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 United States Global Sites Asia Brazil Canada Csezh Denmark Finland France Germany India Israel Italie Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom United States 972772005042 8 AM 11 PM IL Terms Use Information Security Policy Site Map Settings 2020 PR Newswire Association LLC. . ACisioncompany. | 2,020 | [
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https://expertrecorder.com/2020/01/17/artificial-intelligence-based-security-market-share-supply-chain-analysis-and-forecasts-2020-2025/1291640/ | 2020-01-17T00:00:00 | en | Artificial Intelligence-based Security Market Share, Supply Chain Analysis and Forecasts 2020-2025 – Expert Recorder |
Artificial Intelligence-based Security Market Share, Supply Chain Analysis and Forecasts 2020-2025 – Expert Recorder
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The Artificial Intelligence-based Security market report [5 Years Forecast 2020-2025] focuses on Major Leading Industry Players, providing info like Artificial Intelligence-based Security market competitive situation, product scope, market overview, opportunities, driving force and market risks. Profile the top manufacturers of Artificial Intelligence-based Security, with sales, revenue and global market share of Artificial Intelligence-based Security are analyzed emphatically by landscape contrast and speak to info. Upstream raw materials and instrumentation and downstream demand analysis is additionally administrated. The Artificial Intelligence-based Security market business development trends and selling channels square measure analyzed. From a global perspective, It also represents overall industry size by analyzing qualitative insights and historical data.
The study encompasses profiles of major companies operating in the global Artificial Intelligence-based Security market. Key players profiled in the report includes : Nvidia Corporation, Intel Corporation, Xilinx Inc, Samsung Electronics Co., Ltd, Micron Technology, IBM Corporation, Cylance Inc, Threatmetrix, Securonix, Inc, Amazon, Sift Science, Acalvio Technologies, Skycure Inc and among others.
Get Free Sample PDF (including full TOC, Tables and Figures) of Artificial Intelligence-based Security Market @ https://www.researchmoz.us/enquiry.php?type=S&repid2039124
This Artificial Intelligence-based Security market report provides a comprehensive analysis of: Industry overview, cost structure analysis, technical data and competitive analysis, topmost players analysis, development trend analysis, overall market overview, regional market analysis, consumers analysis and marketing type analysis.
Scope of Artificial Intelligence-based Security Market:
The global Artificial Intelligence-based Security market is valued at million US$ in 2019 and will reach million US$ by the end of 2025, growing at a CAGR of during 2020-2025. The objectives of this study are to define, segment, and project the size of the Artificial Intelligence-based Security market based on company, product type, application and key regions.
This report studies the global market size of Artificial Intelligence-based Security in key regions like North America, Europe, Asia Pacific, Central & South America and Middle East & Africa, focuses on the consumption of Artificial Intelligence-based Security in these regions.
This research report categorizes the global Artificial Intelligence-based Security market by players/brands, region, type and application. This report also studies the global market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels, distributors, customers, research findings & conclusion, appendix & data source and Porter’s Five Forces Analysis.
The end users/applications and product categories analysis:
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 of Artificial Intelligence-based Security for each application, including-
Government
Defense
BFSI
Enterprise
Others
On the basis of product, this report displays the sales volume, revenue (Million USD), product price, Artificial Intelligence-based Security market share and growth rate of each type, primarily split into-
Network Security
Endpoint Security
Application Security
Cloud Security
Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.researchmoz.us/enquiry.php?type=E&repid2039124
(*Fill the form and our sales representative will get back to you for assistance)
Artificial Intelligence-based Security Market : The Regional analysis covers:
North America (U.S. and Canada)
Latin America (Mexico, Brazil, Peru, Chile, and others)
Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
Eastern Europe (Poland and Russia)
Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
Middle East and Africa (GCC, Southern Africa, and North Africa)
The Crucial Questions Answered by Artificial Intelligence-based Security Market Report:
The report offers exclusive information about the Artificial Intelligence-based Security market, based on thorough research about the macro and microeconomic factors that are instrumental in the development of the market. The information featured in this report can answer salient questions for companies in the Artificial Intelligence-based Security market, in order to make important business-related decisions. Some of these questions include:
How is the regulatory framework in developed countries impacting the growth of the Artificial Intelligence-based Security market?
What are the winning strategies of key drivers that are helping them consolidate their position in the Artificial Intelligence-based Security market?
What are the trends in the Artificial Intelligence-based Security market that are influencing players’ business strategies?
Why are the sales of Artificial Intelligence-based Security’s higher in commercial and industrial sectors as compared to the residential sector?
How will the historical growth prospects of the Artificial Intelligence-based Security market impact its future?
Which strategies will remain salient for market players to improve the penetration of Artificial Intelligence-based Securitys in developing countries?
And Many More….
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Mr. Nachiket Ghumare,
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TagsArtificial Intelligence-based Security Artificial Intelligence-based Security Market Artificial Intelligence-based Security Market Analysis and Forecast Artificial Intelligence-based Security Market Dynamics Artificial Intelligence-based Security Market Research Artificial Intelligence-based Security Market Segmentation Artificial Intelligence-based Security Market Supply Chain China Artificial Intelligence-based Security Market Growth Europe Artificial Intelligence-based Security Market Trends Global Artificial Intelligence-based Security Market UK Artificial Intelligence-based Security Market Study US Artificial Intelligence-based Security Market CAGR
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| Artificial Intelligence-based Security Market Share, Supply Chain Analysis and Forecasts 2020-2025 | Artificial Intelligencebased Security Market Share, Supply Chain Analysis Forecasts 20202025 Expert Recorder Our Staff Us January 17, 2020 BusinessFinanceMarket UpdatesGeneral Updates Us Global PLC Expansion Modules Market: Which segment grow fastest rate? Global Power Controllers Market: What restrict growth globally? Polymer Porous Filters Market Garner Brimming Revenues 20192026 Cell Line Development Market Monitoring Growth Opportunities 2027 Ferro Titanium Market , 20192025 Segmentation: Based Product, Application Region Proteinase K Market Forecast Report Market 2016 2026 BusinessFinanceMarket UpdatesGeneral Updates Us Business Finance Market Updates General Updates Us Top Stories Artificial Intelligencebased Security Market Share, Supply Chain Analysis Forecasts 20202025 January 17, 20204 Min Read [emailprotected] Add Comment Share This Facebook Twitter Google Plus Pinterest LinkedIn The Artificial Intelligencebased Security market report [5 Years Forecast 20202025] focuses Major Leading Industry Players, providing info like Artificial Intelligencebased Security market competitive situation, product scope, market overview, opportunities, driving force market risks. Profile manufacturers Artificial Intelligencebased Security, sales, revenue global market share Artificial Intelligencebased Security analyzed emphatically landscape contrast speak info. Upstream raw materials instrumentation downstream demand analysis additionally administrated. The Artificial Intelligencebased Security market business development trends selling channels square measure analyzed. From global perspective, It represents overall industry size analyzing qualitative insights historical data. The study encompasses profiles major companies operating global Artificial Intelligencebased Security market. Key players profiled report includes : Nvidia Corporation, Intel Corporation, Xilinx , Samsung Electronics Co., Ltd, Micron Technology, IBM Corporation, Cylance , Threatmetrix, Securonix, , Amazon, Sift Science, Acalvio Technologies, Skycure others. Get Free Sample PDF including TOC, Tables Figures Artificial Intelligencebased Security Market @ This Artificial Intelligencebased Security market report provides comprehensive analysis of:Industry overview, cost structure analysis, technical data competitive analysis, topmost players analysis, development trend analysis, overall market overview, regional market analysis, consumers analysis marketing type analysis. Scope Artificial Intelligencebased Security Market: The global Artificial Intelligencebased Security market valued million US 2019 reach million US end 2025, growing CAGR 20202025. The objectives study define, segment, project size Artificial Intelligencebased Security market based company, product type, application key regions. This report studies global market size Artificial Intelligencebased Security key regions like North America, Europe, Asia Pacific, Central South America Middle East Africa, focuses consumption Artificial Intelligencebased Security regions. This research report categorizes global Artificial Intelligencebased Security market playersbrands, region, type application. This report studies global market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities challenges, sales channels, distributors, customers, research findings conclusion, appendix data source Porters Five Forces Analysis. The end usersapplications product categories analysis: On basis end usersapplications,this report focuses status outlook major applicationsend users, sales volume, market share growth rate Artificial Intelligencebased Security foreach application, including Government Defense BFSI Enterprise Others On basis product,this report displays sales volume, revenue Million USD, product price, Artificial Intelligencebased Security market share growth rate ofeach type, primarily split Network Security Endpoint Security Application Security Cloud Security Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] Fill form sales representative assistance Artificial Intelligencebased Security Market : The Regional analysis covers: North America U.S. Canada Latin America Mexico, Brazil, Peru, Chile, Western Europe Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, Luxembourg Eastern Europe Poland Russia Asia Pacific China, India, Japan, ASEAN, Australia, New Zealand Middle East Africa GCC, Southern Africa, North Africa The Crucial Questions Answered Artificial Intelligencebased Security Market Report: The report offers exclusive information Artificial Intelligencebased Security market, based thorough research macro microeconomic factors instrumental development market. The information featured report answer salient questions companies Artificial Intelligencebased Security market, order important businessrelated decisions. Some questions include: How regulatory framework developed countries impacting growth Artificial Intelligencebased Security market? What winning strategies key drivers helping consolidate position Artificial Intelligencebased Security market? What trends Artificial Intelligencebased Security market influencing players business strategies? Why sales Artificial Intelligencebased Securitys higher commercial industrial sectors compared residential sector? How historical growth prospects Artificial Intelligencebased Security market impact future? Which strategies remain salient market players improve penetration Artificial Intelligencebased Securitys developing countries? And Many More. Us: ResearchMoz Mr. Nachiket Ghumare, Tel: 15186212074 USACanada Toll Free: 8669974948 Email: [emailprotected] Follow LinkedIn @ Follow : TagsArtificial Intelligencebased Security Artificial Intelligencebased Security Market Artificial Intelligencebased Security Market Analysis Forecast Artificial Intelligencebased Security Market Dynamics Artificial Intelligencebased Security Market Research Artificial Intelligencebased Security Market Segmentation Artificial Intelligencebased Security Market Supply Chain China Artificial Intelligencebased Security Market Growth Europe Artificial Intelligencebased Security Market Trends Global Artificial Intelligencebased Security Market UK Artificial Intelligencebased Security Market Study US Artificial Intelligencebased Security Market CAGR You like Business Finance Market Updates Top Stories Global PLC Expansion Modules Market: Which segment grow fastest rate? January 17, 2020 Business Finance Market Updates Top Stories Global Power Controllers Market: What restrict growth globally? January 17, 2020 Business Finance Market Updates Top Stories Global Combustion Engine Smart Commercial Drones Market: Which player hold largest share? January 17, 2020 About authorView All Posts [emailprotected] Add Comment Click post comment Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Global Automotive Hypervisor Market : Industry Analysis And Forecast 20192026 Application Infrastructure Middleware AIM Software Market Outlook On Emerging Application, Revolutionary Trends Potential Growth Strategies 2025 Comment Share This Facebook Twitter Google Plus Pinterest LinkedIn Recent Posts Global PLC Expansion Modules Market: Which segment grow fastest rate? Global Power Controllers Market: What restrict growth globally? 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https://murphyshockeylaw.net/uncategorized/204401/artificial-intelligence-courses-for-c-suite-executives-market-2020-analysis-by-business-overview-key-regions-industry-projections-by-manufactureres-mit-eit-ai-academy-american-institute-of-arti/ | 2020-12-04T00:00:00 | en | Artificial Intelligence Courses for C-suite Executives Market 2020 Analysis by Business Overview, Key Regions, Industry Projections By Manufactureres – MIT, EIT, AI-Academy, American Institute of Artificial Intelligence, Udacity, Informed AI, Kellogg School of Management, SI Data Science, Topbots, DDLS – Murphy's Hockey Law |
Artificial Intelligence Courses for C-suite Executives Market 2020 Analysis by Business Overview, Key Regions, Industry Projections By Manufactureres – MIT, EIT, AI-Academy, American Institute of Artificial Intelligence, Udacity, Informed AI, Kellogg School of Management, SI Data Science, Topbots, DDLS – Murphy's Hockey Law
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Artificial Intelligence Courses for C-suite Executives Market 2020 Analysis by Business Overview, Key Regions, Industry Projections By Manufactureres – MIT, EIT, AI-Academy, American Institute of Artificial Intelligence, Udacity, Informed AI, Kellogg School of Management, SI Data Science, Topbots, DDLS
4 min read
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“
The report offers a detailed overview of the global Artificial Intelligence Courses for C-suite Executives market covering key factors such as drivers and restraints impacting the growth. The global market is segmented on the basis of manufacturers, product type, applications, and regions. In addition to this, the Artificial Intelligence Courses for C-suite Executives report also forecasts market based on dominating market trends, current market conditions, and growth aspects. The Artificial Intelligence Courses for C-suite Executives report gives the better understanding by assessing the market, featured openings, and supporting vital and strategic basic leadership. This report perceives that in this quickly developing and focused condition, up-coming data is fundamental to screen execution and settle on basic choices for development and gainfulness. The report additionally introduces estimates for Artificial Intelligence Courses for C-suite Executives speculations from 2020 till 2027.
Request for a sample report here https://www.orbisresearch.com/contacts/request-sample/3654249
Top Industry Players of Artificial Intelligence Courses for C-suite Executives Market:
MIT
EIT
AI-Academy
American Institute of Artificial Intelligence
Udacity
Informed AI
Kellogg School of Management
SI Data Science
Topbots
DDLS
Artificial Intelligence Courses for C-suite Executives Report Segmentation by Type:
Certification courses
Workshops
Artificial Intelligence Courses for C-suite Executives Report Segmentation by Application:
Blended learning
Online learning
Artificial Intelligence Courses for C-suite Executives Report Segment by Regions includes:
North America, Asia-Pacific, Latin America, Europe, Middle East and Africa. Other regions can be added as per Artificial Intelligence Courses for C-suite Executives client’s requirements. Different Artificial Intelligence Courses for C-suite Executives developmental tactics, proposals and how they can be executed are also discussed in Global Artificial Intelligence Courses for C-suite Executives industry report.
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Basic focuses canvassed in worldwide Artificial Intelligence Courses for C-suite Executives market report are:-
* What will the market estimate and the Artificial Intelligence Courses for C-suite Executives development rate be in 2027?
* What are the key variables driving the Artificial Intelligence Courses for C-suite Executives market?
* What are the key market patterns affecting the Artificial Intelligence Courses for C-suite Executives development?
* What are the difficulties to Artificial Intelligence Courses for C-suite Executives market development?
* Who are the key merchants in the Artificial Intelligence Courses for C-suite Executives market?
* What are the market openings and challenges by the merchants in the Artificial Intelligence Courses for C-suite Executives industry?
* What are the key results of the SWOT and PESTEL five powers examination of the Artificial Intelligence Courses for C-suite Executives market?
Artificial Intelligence Courses for C-suite Executives Research Methodology:
Research consider on the global Artificial Intelligence Courses for C-suite Executives market performed in five stages which incorporate secondary research, primary research, topic master counsel, quality check, and last survey. The market information is broke down and estimated utilizing market factual and Artificial Intelligence Courses for C-suite Executives intelligent models. Likewise, pieces of the pie and key patterns were thought about while making the Artificial Intelligence Courses for C-suite Executives report. Beside this, other data models for vendors situating, market course of events examination, diagrams, and guides, organization Artificial Intelligence Courses for C-suite Executives market size and share of the overall industry information, guidelines of measurement, Artificial Intelligence Courses for C-suite Executives top-bottom examination and merchant share information and a 360-degree market view which includes statistical forecast.
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| Artificial Intelligence Courses for C-suite Executives Market 2020 Analysis by Business Overview, Key Regions, Industry Projections By Manufactureres | Artificial Intelligence Courses Csuite Executives Market 2020 Analysis Business Overview, Key Regions, Industry Projections By Manufactureres MIT, EIT, AIAcademy, American Institute Artificial Intelligence, Udacity, Informed AI, Kellogg School Management, SI Data Science, Topbots, DDLS Murphys Hockey Law Skip content December 4, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll NewsArtificial Intelligence Courses Csuite Executives Market 2020 Analysis Business Overview, Key Regions, Industry Projections By Manufactureres MIT, EIT, AIAcademy, American Institute Artificial Intelligence, Udacity, Informed AI, Kellogg School Management, SI Data Science, Topbots, DDLS All News Artificial Intelligence Courses Csuite Executives Market 2020 Analysis Business Overview, Key Regions, Industry Projections By Manufactureres MIT, EIT, AIAcademy, American Institute Artificial Intelligence, Udacity, Informed AI, Kellogg School Management, SI Data Science, Topbots, DDLS 4 min read 2 hours ago anita The report offers detailed overview global Artificial Intelligence Courses Csuite Executives market covering key factors drivers restraints impacting growth. The global market segmented basis manufacturers, product type, applications, regions. In addition this, Artificial Intelligence Courses Csuite Executives report forecasts market based dominating market trends, current market conditions, growth aspects. The Artificial Intelligence Courses Csuite Executives report gives better understanding assessing market, featured openings, supporting vital strategic basic leadership. This report perceives quickly developing focused condition, upcoming data fundamental screen execution settle basic choices development gainfulness. The report additionally introduces estimates Artificial Intelligence Courses Csuite Executives speculations 2020 till 2027. 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Beside this, data models vendors situating, market course events examination, diagrams, guides, organization Artificial Intelligence Courses Csuite Executives market size share overall industry information, guidelines measurement, Artificial Intelligence Courses Csuite Executives topbottom examination merchant share information 360degree market view includes statistical forecast. Moreover, important topics included Artificial Intelligence Courses Csuite Executives market research report includes marketing approach analysis, dealerssuppliers involved industry. Consequences factor analysis, Artificial Intelligence Courses Csuite Executives industrial updates, tracking techniques upstream downstream purchasers global Artificial Intelligence Courses Csuite Executives market. Production expenditure, driving factors, restraining factors, Artificial Intelligence Courses Csuite Executives opportunities, trends, mergers acquisitions, development, major distributors raw materials, research finding techniques conclusion, market volume value information Artificial Intelligence Courses Csuite Executives market. : 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 Single User Report @ Continue Reading Previous Strategic Sourcing Software Market 2020 Analysis Business Overview, Key Regions, Industry Projections By Manufactureres Zycus, Fairmarkit, Tradeshift, SAP Ariba, Procurify, Coupa Software, Xeeva, Promena, Bonfire, Jaggaer, GEP Worldwide, Basware Corporation, Scout RFPNext Acromegaly Market To 2026 High Growth Opportunities Emerging Trends Industry Review Global Forecast Novartis, IPSEN, Pfizer More Stories 6 min read All News Natural Flocculant Market Key Player, Demand, Growth, Opportunities Analysis Forecast 20202027 27 seconds ago shivam 4 min read All News News Sports Bra Underwear Market Ecosystem, Current Trends, Technology Enhancements Under Armour, Adidas, Nike, Decathlon, More 57 seconds ago kumar 4 min read All News Ad Server Software Market R D including key players Google, Epom, Adzerk 1 min ago Mark for: Recent Posts Natural Flocculant Market Key Player, Demand, Growth, Opportunities Analysis Forecast 20202027 Radio Streaming Services Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region Forecast 2027 Remarkable growth Hand Sanitizers Market continues, exclusive data analysis reveals Key Trends Market Analysis Sports Bra Underwear Market Ecosystem, Current Trends, Technology Enhancements Under Armour, Adidas, Nike, Decathlon, More Ad Server Software Market R D including key players Google, Epom, Adzerk You missed 6 min read All News Natural Flocculant Market Key Player, Demand, Growth, Opportunities Analysis Forecast 20202027 27 seconds ago shivam 2 min read News Radio Streaming Services Market 2020 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region Forecast 2027 30 seconds ago arpit 5 min read News Remarkable growth Hand Sanitizers Market continues, exclusive data analysis reveals Key Trends Market Analysis 42 seconds ago craig 4 min read All News News Sports Bra Underwear Market Ecosystem, Current Trends, Technology Enhancements Under Armour, Adidas, Nike, Decathlon, More 57 seconds ago kumar All News Energy News Space . 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https://www.techrepublic.com/article/how-nvidia-hopes-to-industrialize-ai-with-mlops/ | 2020-05-05T00:00:00 | en | How NVIDIA hopes to industrialize AI with MLOps - TechRepublic | How NVIDIA hopes to industrialize AI with MLOps - TechRepublic
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How NVIDIA hopes to industrialize AI with MLOps
by
Matt Asay
in
Artificial Intelligence
on May 5, 2020, 2:45 PM PST
Commentary: We still spend far too much time training machine learning models rather than deploying them. Could MLOps--which brings data scientists and DevOps together--be a solution?
Image: Chinnawat Ngamsom, Getty Images/iStockphoto
We're definitely beyond the science project years of artificial intelligence (AI) deployments, and we've got work to do before we get past the "brittle" phase. Some retailers, like Walmart, have used machine learning (ML) to improve forecasting while reducing their cost of inventory. But many others spend lots of time building models that never get deployed, said Tony Paikeday, director of product marketing for the NVIDIA DGX portfolio of AI supercomputers and NVIDIA accelerated data science platform, in an interview. What we need, he said, is to "industrialize AI," in part by bringing together data scientists with DevOps. NVIDIA seems to be all in on this new approach, called "MLOps," and the company might be onto something. SEE: Artificial intelligence ethics policy (TechRepublic Premium) Not just a box But first, an admission, one that I'll offer in case you've made the same mistake. I've always thought of NVIDIA as a chip company--you know, that company that created a graphics chip way back when that made video games cool. Since then, NVIDIA and others have expanded the use of these graphics processing units (GPUs) for areas like high-performance computing and artificial intelligence. But still, hardware, right?
According to Paikeday, in the past customers would buy a GPU, stick it in a server, and apply open source (like TensorFlow) to it. This worked (sort of), but broke down as the size of data sets grew. It became ever more difficult to parallelize such workloads across processors. It became obvious that these customers needed cluster-aware software. SEE: Prescriptive analytics: An insider's guide (free PDF) (TechRepublic) Even more, NVIDIA figured out it needed a full stack that is optimized from the driver level so the company could parallelize across not just a few GPUs, but rather across multiple systems. NVIDIA simply couldn't afford to delay on a training run--the company needed its models fast. With all this as context, for years Nvidia has been developing software. Indeed, NVIDIA now spends more time on software-related development with its customers than working on the hardware by itself. Not just a bunch of boxes This brings us to another part of NVIDIA's AI-related business: Where does the customer run NVIDIA hardware/software? The short answer is "wherever they want to," since NVIDIA is somewhat agnostic to where its solutions run. The customer, however, is not. According to Paikeday, most of its customers start in the public cloud--whether customers will stay there depends on a few factors. Using the adage "Train where your data lands," Paikeday said, customers who create data in the cloud will tend to run their AI training models there. Customers may also keep training runs in the cloud so as to be able to iterate and fail fast. Given how new AI remains for so many, the cloud is a great place to explore. SEE: The top 10 languages for machine learning hosted on GitHub (free PDF) (TechRepublic) But as a customer's data set size or models grow, and they have more sophisticated prototypes, "the impact of data gravity starts to be felt," he said, making it cost effective to avoid data transit fees by keeping the data local. For some of these, he says, they may feel they can get better results from fixed-cost infrastructure as well as centralizing operations in an "AI center of excellence" of sorts, where they can cross-pollinate expertise across teams, groom new talent, and more. Not a box at all Wherever enterprises opt to run their training models, companies quickly need to figure out how to operationalize their data science. One problem is that data scientists tend not to be trained engineers, and don't necessarily follow good DevOps practices. Worse, data scientists, engineers, and IT operations often work in isolation. All of this contributes to make AI brittle and immature within the enterprise. The Holy Grail, at least to some, is MLOps, a bringing together of AI and Operations, similar to what has been done between Development and Operations (DevOps). The goals? As articulated by Kyle Gallatin, an ML engineer at Pfizer: Reduce the time and difficulty to push models into production Reduce friction between teams and enhance collaboration Improve model tracking, versioning, monitoring, and management Create a truly cyclical lifecycle for the modern ML model Standardize the machine learning process to prepare for increasing regulation and policy Sounds straightforward, right? Well, of course it isn't, or we wouldn't have the brittle AI that we do today. NVIDIA, said Paikeday, is building a platform that allows data scientists to work closely with DevOps folks and thus reduce the friction between these sparring groups. It's a good goal. It's also not what you'd expect from a chip company that helps to make video game graphics sing. But then, that's not really what NVIDIA does anymore. At least, not completely. It's even more focused today on building the software that will serve as connective tissue for data scientists and DevOps within the enterprise so that AI moves from artisanal to industrial. Disclosure: I work for AWS, but nothing herein relates to my employment there.
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Comment and share: How NVIDIA hopes to industrialize AI with MLOps
By Matt Asay
Matt Asay is a veteran technology columnist who has written for CNET, ReadWrite, and other tech media. Asay has also held a variety of executive roles with leading mobile and big data software companies.
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| How NVIDIA hopes to industrialize AI with MLOps | How NVIDIA hopes industrialize AI MLOps TechRepublic What looking for? GO IT Policy Downloads Coronavirus 5G Developer Top DaaS providers More Security Excel tips Cloud Big Data Learn Python: Online training Top 2020 DevOps trends Top IT salaries TechRepublic Academy Best VPN Services All Topics Sections: Photos Videos All Writers Newsletters Forums Resource Library Editions: US United States Australia United Kingdom Japan Newsletters Forums Resource Library TR Premium View profile Preferences Newsletters Community Log Out What looking for? GO Topics: IT Policy Downloads Coronavirus 5G Developer Top DaaS providers Security Excel tips Cloud Big Data Learn Python: Online training Top 2020 DevOps trends Top IT salaries TechRepublic Academy Best VPN Services All Topics Sections: Photos Videos All Writers Newsletters Forums Resource Library Editions: US United States Australia United Kingdom Japan View profile Preferences Newsletters Community Log Out How NVIDIA hopes industrialize AI MLOps Matt Asay Artificial Intelligence May 5, 2020, 2:45 PM PST Commentary: We spend far time training machine learning models deploying them. Could MLOpswhich brings data scientists DevOps togetherbe solution? Image: Chinnawat Ngamsom, Getty ImagesiStockphoto Were definitely science project years artificial intelligence AI deployments, weve got work past brittle phase. Some retailers, like Walmart, machine learning ML improve forecasting reducing cost inventory. But spend lots time building models deployed, said Tony Paikeday, director product marketing NVIDIA DGX portfolio AI supercomputers NVIDIA accelerated data science platform, interview. What need, said, industrialize AI, bringing data scientists DevOps. NVIDIA new approach, called MLOps, company something. SEE:Artificial intelligence ethics policyTechRepublic Premium Not box But first, admission, Ill offer case youve mistake. Ive thought NVIDIA chip companyyou know, company created graphics chip way video games cool. Since then, NVIDIA expanded use graphics processing units GPUs areas like highperformance computing artificial intelligence. But still, hardware, right? According Paikeday, past customers buy GPU, stick server, apply open source like TensorFlow it. This worked sort of, broke size data sets grew. It difficult parallelize workloads processors. It obvious customers needed clusteraware software. SEE: Prescriptive analytics: An insiders guide free PDF TechRepublic Even more, NVIDIA figured needed stack optimized driver level company parallelize GPUs, multiple systems. NVIDIA simply afford delay training runthe company needed models fast. With context, years Nvidia developing software. Indeed, NVIDIA spends time softwarerelated development customers working hardware itself. Not bunch boxes This brings NVIDIAs AIrelated business: Where customer run NVIDIA hardwaresoftware? The short answer want to, NVIDIA somewhat agnostic solutions run. The customer, however, not. According Paikeday, customers start public cloudwhether customers stay depends factors. Using adage Train data lands, Paikeday said, customers create data cloud tend run AI training models there. Customers training runs cloud able iterate fail fast. Given new AI remains many, cloud great place explore. SEE: The 10 languages machine learning hosted GitHub free PDF TechRepublic But customers data set size models grow, sophisticated prototypes, impact data gravity starts felt, said, making cost effective avoid data transit fees keeping data local. For these, says, feel better results fixedcost infrastructure centralizing operations AI center excellence sorts, crosspollinate expertise teams, groom new talent, more. Not box Wherever enterprises opt run training models, companies quickly need figure operationalize data science. One problem data scientists tend trained engineers, dont necessarily follow good DevOps practices. Worse, data scientists, engineers, IT operations work isolation. All contributes AI brittle immature enterprise. The Holy Grail, some, MLOps, bringing AI Operations, similar Development Operations DevOps. The goals? As articulated Kyle Gallatin, ML engineer Pfizer: Reduce time difficulty push models production Reduce friction teams enhance collaboration Improve model tracking, versioning, monitoring, management Create truly cyclical lifecycle modern ML model Standardize machine learning process prepare increasing regulation policy Sounds straightforward, right? Well, course isnt, wouldnt brittle AI today. NVIDIA, said Paikeday, building platform allows data scientists work closely DevOps folks reduce friction sparring groups. Its good goal. Its youd expect chip company helps video game graphics sing. But then, thats NVIDIA anymore. At least, completely. Its focused today building software serve connective tissue data scientists DevOps enterprise AI moves artisanal industrial. Disclosure: I work AWS, relates employment there. Data, Analytics AI Newsletter Learn latest news best practices data science, big data analytics, artificial intelligence. Delivered Mondays Sign today Also IT leaders guide deep learning TechRepublic Telemedicine, AI, deep learning revolutionizing healthcare TechRepublic downloadWhat AI? Everything need know Artificial Intelligence ZDNet 6 ways delete internet CNET Artificial Intelligence: More mustread coverageTechRepublic Flipboard Editors Picks The Internet Wild Things: Technology battle biodiversity loss climate change Transgender employees tech: Why progressive industry work Python eating world: How developers project hottest programming language planet How iRobot data science, cloud, DevOps design nextgen smart home robots Beyond PC: Lenovos ambitious plan future computing Straight up: How Kentucky bourbon industry going high tech Comment share: How NVIDIA hopes industrialize AI MLOps By Matt Asay Matt Asay veteran technology columnist written CNET, ReadWrite, tech media. Asay held variety executive roles leading mobile big data software companies. Full Bio Disclosure See Matts content Related Topics: Artificial Intelligence Big Data Analytics Innovation Internet Things Developer Artificial Intelligence ZDNet Show Comments Hide Comments LOG IN TO COMMENT My Profile Log Out Commenting FAQs Community Guidelines Join Discussion LOG IN TO COMMENT Add Comment Editors Picks The Internet Wild Things: Technology battle biodiversity loss climate change Transgender employees tech: Why progressive industry work Python eating world: How developers project hottest programming language planet How iRobot data science, cloud, DevOps design nextgen smart home robots TechRepublic Premium Budget Template: Yearround IT budgets Yearround IT budget template IT project costbenefit calculator Ergonomics policy Services Manage Profile Membership Newsletters RSS Feeds Site Map Site Help Feedback FAQ Advertise Reprint Policy TR Premium CA PrivacyInfo We Collect CA Do Not Sell My Info Explore Blogs Downloads TechRepublic Forums Meet Team TechRepublic Academy TechRepublic Premium Resource Library Photos Videos 2020 CBS Interactive. . 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https://dailyasianage.com/news/230538/google-cautions-eu-on-ai-rule-making | 2020-05-29T00:00:00 | en | Google cautions EU on AI rule-making | The Asian Age Online, Bangladesh | Google cautions EU on AI rule-making | The Asian Age Online, Bangladesh Home Frontpage Asia City World OP-ED Editorial Business Global Business News A to Z Commercial Capital Sports Countrywide Featured Etiquette Sex & Relationship Fitness LitScape Life Style Reciprocal Teens & Twenties In Vogue Food & Nutrition Bookshelf Entertainment Special Supplement Tech Back Page Open Blog The Connected Age The Living City Online Edition E-Paper The Asian Age no longer supports Internet Explorer 9 or earlier. Please upgrade your browser. LEARN MORE » Sections বাংলা Friday, May 29, 2020 Today's Paper Video e-Paper Second Edition Contact Sections Home Frontpage Asia City World OP-ED Editorial Business Global Business Commercial Capital Sports Countrywide Featured Sex & Relationship LitScape Life Style Reciprocal Teens & Twenties In Vogue Food & Nutrition Bookshelf Entertainment Back Page × Home Tech Published: 04:17 PM, 29 May 2020 Google cautions EU on AI rule-making Asian Age Online Google warned on Thursday that the EU’s definition of artificial intelligence was too broad and that Brussels must refrain from over-regulating a crucial technology.The search and advertising giant made its argument in feedback to the European Commission, the EU’s powerful regulator that has reached out to big tech as it draws up ways to set new rules for AI.The EU has not decided yet on how to regulate AI, but is putting most of its focus on what it calls “high risk” sectors, such as healthcare and transport.It’s plans, to be spearheaded by EU commissioners Margrethe Vestager and Thierry Breton, are not expected until the end of the year.“A clear and widely understood definition of AI will be a critical foundational element for an effective AI regulatory framework,” the company said in its 45-page submission.The EU’s own definition of AI was so broad that it “effectively puts all contemporary software potentially in scope,” it said.“A narrower definition is needed to avoid over-regulation,” Google said.Google also urged Brussels to refrain from increasing the tech sector’s liability with AI applications as too much legal exposure would stifle innovation.“Such a dramatic and unprecedented expansion would constrain innovation and disproportionately hinder European SMEs,” Google said.Google and other tech giants are taking the EU’s AI strategy very seriously as Europe often sets a standard on how tech is regulated around the world.On a lobbying trip to Brussels in January, Google CEO Sundar Pichai urged the commission to take a “proportional approach” in new laws for AI. Leave Your Comments Latest News More From Tech Video Gallery Photo Gallery E-Paper Go to Home Page » Site Index The Asian Age Frontpage Asia City World OP-ED Business Global Business Share Market Commercial Capital Sports Countrywide Entertainment Inscription Editorial Life Style Reciprocal Teens & Twenties Special Supplement Tech In Vouge Food & Nutrition Back Page News Archive © 2020 The Asian Age Contact Us Advertise Your Ad Choices Privacy Terms of Service Terms of Sale Site Map Help Site Feedback Subscriptions View Mobile Version | Google cautions EU on AI rule-making | Google cautions EU AI rulemaking The Asian Age Online, Bangladesh Home Front Asia City World OPED Editorial Business Global Business News A Z Commercial Capital Sports Countrywide Featured Etiquette Sex Relationship Fitness LitScape Life Style Reciprocal Teens Twenties In Vogue Food Nutrition Bookshelf Entertainment Special Supplement Tech Back Page Open Blog The Connected Age The Living City Online Edition EPaper The Asian Age longer supports Internet Explorer 9 earlier. Please upgrade browser. LEARN MORE Sections Friday, May 29, 2020 Todays Paper Video ePaper Second Edition Sections Home Front Asia City World OPED Editorial Business Global Business Commercial Capital Sports Countrywide Featured Sex Relationship LitScape Life Style Reciprocal Teens Twenties In Vogue Food Nutrition Bookshelf Entertainment Back Page Home Tech Published: 04:17 PM, 29 May 2020 Google cautions EU AI rulemaking Asian Age Online Google warned Thursday EUs definition artificial intelligence broad Brussels refrain overregulating crucial technology.The search advertising giant argument feedback European Commission, EUs powerful regulator reached big tech draws ways set new rules AI.The EU decided regulate AI, putting focus calls high risk sectors, healthcare transport.Its plans, spearheaded EU commissioners Margrethe Vestager Thierry Breton, expected end year.A clear widely understood definition AI critical foundational element effective AI regulatory framework, company said 45 submission.The EUs definition AI broad effectively puts contemporary software potentially scope, said.A narrower definition needed avoid overregulation, Google said.Google urged Brussels refrain increasing tech sectors liability AI applications legal exposure stifle innovation.Such dramatic unprecedented expansion constrain innovation disproportionately hinder European SMEs, Google said.Google tech giants taking EUs AI strategy seriously Europe sets standard tech regulated world.On lobbying trip Brussels January, Google CEO Sundar Pichai urged commission proportional approach new laws AI. Leave Your Comments Latest News More From Tech Video Gallery Photo Gallery EPaper Go Home Page Site Index The Asian Age Front Asia City World OPED Business Global Business Share Market Commercial Capital Sports Countrywide Entertainment Inscription Editorial Life Style Reciprocal Teens Twenties Special Supplement Tech In Vouge Food Nutrition Back Page News Archive 2020 The Asian Age Us Advertise Your Ad Choices Privacy Terms Sale Site Map Help Site Feedback Subscriptions View Mobile Version | 2,020 | [
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https://www.eurekalert.org/pub_releases/2020-11/tmsh-msd111020.php | 2020-11-10T00:00:00 | en | Mount Sinai develops machine learning models to predict critical illness and mortality in COVID-19 patients | EurekAlert! Science News |
Mount Sinai develops machine learning models to predict critical illness and mortality in COVID-19 patients | EurekAlert! Science News
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News Release 10-Nov-2020
Mount Sinai develops machine learning models to predict critical illness and mortality in COVID-19 patients
The Mount Sinai Hospital / Mount Sinai School of Medicine
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Mount Sinai researchers have developed machine learning models that predict the likelihood of critical events and mortality in COVID-19 patients within clinically relevant time windows. The new models outlined in the study--one of the first to use machine learning for risk prediction in COVID-19 patients among a large and diverse population, and published November 6 in the Journal of Medical Internet Research--could aid clinical practitioners at Mount Sinai and across the world in the care and management of COVID-19 patients.
"From the initial outburst of COVID-19 in New York City, we saw that COVID-19 presentation and disease course are heterogeneous and we have built machine learning models using patient data to predict outcomes," said Benjamin Glicksberg, PhD, Assistant Professor of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai, member of the Hasso Plattner Institute for Digital Health at Mount Sinai and Mount Sinai Clinical Intelligence Center (MSCIC), and one of the study's principal investigators. "Now in the early stages of a second wave, we are much better prepared than before. We are currently assessing how these models can aid clinical practitioners in managing care of their patients in practice."
In the retrospective study using electronic health records from more than 4,000 adult patients admitted to five Mount Sinai Health System hospitals from March to May, researchers and clinicians from the MSCIC analyzed characteristics of COVID-19 patients, including past medical history, comorbidities, vital signs, and laboratory test results at admission, to predict critical events such as intubation and mortality within various clinically relevant time windows that can forecast short and medium-term risks of patients over the hospitalization.
The researchers used the models to predict a critical event or mortality at time windows of 3, 5, 7, and 10 days from admission. At the one-week mark--which performed best overall, correctly flagging the most critical events while returning the fewest false positives--acute kidney injury, fast breathing, high blood sugar, and elevated lactate dehydrogenase (LDH) indicating tissue damage or disease were the strongest drivers in predicting critical illness. Older age, blood level imbalance, and C-reactive protein levels indicating inflammation, were the strongest drivers in predicting mortality.
"We have created high-performing predictive models using machine learning to improve the care of our patients at Mount Sinai," said Girish Nadkarni, MD, Assistant Professor of Medicine (Nephrology) at the Icahn School of Medicine, Clinical Director of the Hasso Plattner Institute for Digital Health at Mount Sinai, and Co-Chair of MSCIC. "More importantly, we have created a method that identifies important health markers that drive likelihood estimates for acute care prognosis and can be used by health institutions across the world to improve care decisions, at both the physician and hospital level, and more effectively manage patients with COVID-19."
###
About the Mount Sinai Health System
The Mount Sinai Health System is New York City's largest academic medical system, encompassing eight hospitals, a leading medical school, and a vast network of ambulatory practices throughout the greater New York region. Mount Sinai is a national and international source of unrivaled education, translational research and discovery, and collaborative clinical leadership ensuring that we deliver the highest quality care--from prevention to treatment of the most serious and complex human diseases. The Health System includes more than 7,200 physicians and features a robust and continually expanding network of multispecialty services, including more than 400 ambulatory practice locations throughout the five boroughs of New York City, Westchester, and Long Island. The Mount Sinai Hospital is ranked No. 14 on U.S. News & World Report's "Honor Roll" of the Top 20 Best Hospitals in the country and the Icahn School of Medicine as one of the Top 20 Best Medical Schools in country. Mount Sinai Health System hospitals are consistently ranked regionally by specialty and our physicians in the top 1% of all physicians nationally by U.S. News & World Report.
For more information, visit https://www.mountsinai.org or find Mount Sinai on Facebook, Twitter and YouTube.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.
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Mount Sinai develops machine learning models to predict critical illness and mortality in COVID-19 patients
The Mount Sinai Hospital / Mount Sinai School of Medicine
Journal
Journal of Medical Internet Research
Keywords
CRITICAL CARE/EMERGENCY MEDICINE
DEATH/DYING
INFECTIOUS/EMERGING DISEASES
INTERNAL MEDICINE
MEDICINE/HEALTH
MORTALITY/LONGEVITY
PULMONARY/RESPIRATORY MEDICINE
Original Source
https://www.jmir.org/2020/11/e24018
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| Mount Sinai develops machine learning models to predict critical illness and mortality in COVID-19 patients | Mount Sinai develops machine learning models predict critical illness mortality COVID19 patients EurekAlert Science News Skip main content Advanced Home COVID19 News Releases Latest News Releases News By Subject Agriculture Archaeology Atmospheric Science Biology Business Economics Chemistry Physics Earth Science Education Mathematics Medicine Health Policy Ethics Social Behavioral Space Planetary Tech Engineering Science Business Announcements Grants, Awards, Books Languages Auf Deutsch En Espaol En Franais Em Portugus Portals Climate Change Cancer Research Marine Science Email Newsletter Latest News Releases Science Business Announcements Grants Awards Books Email Newsletter RSS Feeds Agriculture Archaeology Atmospheric Science Biology Business Economics Chemistry Physics Earth Science Education Mathematics Medicine Health Policy Ethics Social Behavior Space Planetary Tech Engineering Auf Deutsch En Espaol En Franais Em Portugus Multimedia All multimedia Images Video Audio multimedia All Multimedia Multimedia Images Video Audio Meetings Meeting Announcements Meetings Calendar Featured Newsrooms: AHA Scientific Sessions 2020 13 17 November 2020 Virtual Meeting Announcements Meetings Calendar Featured Newsrooms Portals Hello World Foo Bar Dropdown Menu Hello World Foo Bar Another Link The Last Item Climate ChangeThe latest insights changing climate More Cancer ResearchNew findings cancer treatment prevention More Marine ScienceIndepth investigations things marine science More Science Agencies US Department Energy US National Institutes Health US National Science Foundation About About EurekAlert For Reporters For PIOs FAQ Sponsor EurekAlert News Release Eligibility Guidelines About EurekAlert FAQ Sponsor EurekAlert News Release Eligibility Guidelines For Reporters EurekAlert provides eligible reporters free access embargoed breaking news releases.Eligibility Guidelines For PIOS EurekAlert offers eligible public information officers paid access reliable news release distribution service.Eligibility Guidelines EurekAlert service American Association Advancement Science. News Release10Nov2020 Mount Sinai develops machine learning models predict critical illness mortality COVID19 patients The Mount Sinai Hospital Mount Sinai School Medicine Research News Share Print EMail Mount Sinai researchers developed machine learning models predict likelihood critical events mortality COVID19 patients clinically relevant time windows. The new models outlined studyone use machine learning risk prediction COVID19 patients large diverse population, published November 6 Journal Medical Internet Researchcould aid clinical practitioners Mount Sinai world care management COVID19 patients. From initial outburst COVID19 New York City, saw COVID19 presentation disease course heterogeneous built machine learning models patient data predict outcomes, said Benjamin Glicksberg, PhD, Assistant Professor Genetics Genomic Sciences Icahn School Medicine Mount Sinai, member Hasso Plattner Institute Digital Health Mount Sinai Mount Sinai Clinical Intelligence Center MSCIC, studys principal investigators. Now early stages second wave, better prepared before. We currently assessing models aid clinical practitioners managing care patients practice. In retrospective study electronic health records 4,000 adult patients admitted Mount Sinai Health System hospitals March May, researchers clinicians MSCIC analyzed characteristics COVID19 patients, including past medical history, comorbidities, vital signs, laboratory test results admission, predict critical events intubation mortality clinically relevant time windows forecast short mediumterm risks patients hospitalization. The researchers models predict critical event mortality time windows 3, 5, 7, 10 days admission. At oneweek markwhich performed best overall, correctly flagging critical events returning fewest false positivesacute kidney injury, fast breathing, high blood sugar, elevated lactate dehydrogenase LDH indicating tissue damage disease strongest drivers predicting critical illness. Older age, blood level imbalance, Creactive protein levels indicating inflammation, strongest drivers predicting mortality. We created highperforming predictive models machine learning improve care patients Mount Sinai, said Girish Nadkarni, MD, Assistant Professor Medicine Nephrology Icahn School Medicine, Clinical Director Hasso Plattner Institute Digital Health Mount Sinai, CoChair MSCIC. More importantly, created method identifies important health markers drive likelihood estimates acute care prognosis health institutions world improve care decisions, physician hospital level, effectively manage patients COVID19. About Mount Sinai Health System The Mount Sinai Health System New York Citys largest academic medical system, encompassing hospitals, leading medical school, vast network ambulatory practices greater New York region. Mount Sinai national international source unrivaled education, translational research discovery, collaborative clinical leadership ensuring deliver highest quality carefrom prevention treatment complex human diseases. The Health System includes 7,200 physicians features robust continually expanding network multispecialty services, including 400 ambulatory practice locations boroughs New York City, Westchester, Long Island. The Mount Sinai Hospital ranked No. 14 U.S. News World Reports Honor Roll Top 20 Best Hospitals country Icahn School Medicine Top 20 Best Medical Schools country. Mount Sinai Health System hospitals consistently ranked regionally specialty physicians 1 physicians nationally U.S. News World Report. For information, visit Mount Sinai Facebook, Twitter YouTube. Disclaimer: AAAS EurekAlert responsible accuracy news releases posted EurekAlert contributing institutions use information EurekAlert system. Share Print EMail Media Stacy A. Anderson newsmedia 2122419200 More News Release Mount Sinai develops machine learning models predict critical illness mortality COVID19 patients The Mount Sinai Hospital Mount Sinai School Medicine Journal Journal Medical Internet Research Keywords CRITICAL CAREEMERGENCY MEDICINE DEATHDYING INFECTIOUSEMERGING DISEASES INTERNAL MEDICINE MEDICINEHEALTH MORTALITYLONGEVITY PULMONARYRESPIRATORY MEDICINE Original Source More Medicine Health Mount Sinai develops machine learning models predict critical illness mortality COVID19 patients The Mount Sinai Hospital Mount Sinai School Medicine Simultaneous kidney transplant plus weight loss surgery safe obese patients University Illinois Chicago A viable vaccine tough tumors Wyss Institute Biologically Inspired Engineering Harvard Survey COVID19 research provides fresh overview Karolinska Institutet View Medicine Health Trending News Releases Environmental factors affect distribution Iberian spiders University Barcelona Implantable sensor measure bodily functions safely biodegrade Penn State Liver scarring relatively common middleaged adults Boston University School Medicine Genetic disposition protects immune aging University Bonn View latest news releases 2020 American Association Advancement Science AAAS Latest News Releases RSS Feed All EurekAlert RSS Feeds EurekAlert Help FAQ Disclaimer Terms Conditions EurekAlert 2020 American Association Advancement Science AAAS | 2,020 | [
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https://newsfinancialanalyst.com/global-artificial-intelligence-service-market-2019-by-key-players-salesforce-intel-baidu-sas-institute/ | 2020-02-08T00:00:00 | en | Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute – Financial Analyst |
Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute – Financial Analyst
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Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute
February 8, 2020 [email protected] Business Comments Off on Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute
Qyresearchreports include new market research report “Global Artificial Intelligence Service Market Size, Status and Forecast 2019-2025” to its huge collection of research reports.
Verticals in the AI as a service market include Banking, Financial Services, and Insurance (BFSI), healthcare and life sciences, retail, telecommunications, government and defense, manufacturing, energy, and others (Education, Agriculture, Transportation, and Media and Entertainment). AI as a service helps various verticals easily integrate AI capabilities with their business applications. Moreover, by leveraging the benefits of AI as a service, verticals can focus more on the enhancement of their business processes and formulation of growth strategies, rather than worrying about costs related to the purchase and maintenance of AI-powered platforms and tools.
Get Complimentary Research Summary of the Report: https://www.qyresearchreports.com/sample/sample.php?rep_id=2082154&type=S
The growing demand for AI-powered services in the form of Application Programming Interface (API) and Software Development Kit (SDK) and increasing number of innovative startups are some of the major factors that are driving the growth of the AI as a service market. The demand for intelligent business processes is growing across verticals to enhance the overall experience that is delivered to their customers. Organizations are therefore focusing on integrating AI capabilities with their existing business applications. However, the process of building APIs is time- consuming. Hence, various verticals are focused toward the adoption of easily available AI-powered APIs and machine learning models to solve their business problems.
In 2018, the global Artificial Intelligence Service market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Artificial Intelligence Service status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence Service development in United States, Europe and China.
The key players covered in this study
International Business Machines
SAP
Google
Amazon
Salesforce
Intel
Baidu
Fair Isaac Corporation(FICO)
SAS Institute(US)
Market segment by Type, the product can be split into
Software Tools
Services
Market segment by Application, split into
BFSI
Telecommunications and IT
Retail and E-Commerce
Government and Defense
Healthcare
Manufacturing
Energy and Utilities
Construction and Engineering
Others
To Browse a Complete Report with TOC Visit @ https://www.qyresearchreports.com/report/global-artificial-intelligence-service-market-size-status-and-forecast-2019-2025.htm
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze and study the global Artificial Intelligence Service capacity, production, value, consumption, status (2013-2017) and forecast (2018-2025);
Focuses on the key Artificial Intelligence Service manufacturers, to study the capacity, production, value, market share and development plans in future.
Focuses on the global key manufacturers, to define, describe and analyze the market competition landscape, SWOT analysis.
To define, describe and forecast the market by type, application and region.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Artificial Intelligence Service are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Key Stakeholders
Artificial Intelligence Service Manufacturers
Artificial Intelligence Service Distributors/Traders/Wholesalers
Artificial Intelligence Service Subcomponent Manufacturers
Industry Association
Downstream Vendors
About Us:
QYResearchReports.com delivers the latest strategic market intelligence to build a successful business footprint in China. Our syndicated and customized research reports provide companies with vital background information of the market and in-depth analysis on the Chinese trade and investment framework, which directly affects their business operations. Reports from QYResearchReports.com feature valuable recommendations on how to navigate in the extremely unpredictable yet highly attractive Chinese market.
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United States
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Email: [email protected]
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| Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute | Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute February 8, 2020 [emailprotected] Business Comments Off Global Artificial Intelligence Service Market 2019 By Key Players : Salesforce, Intel, Baidu, SAS Institute Qyresearchreports include new market research report Global Artificial Intelligence Service Market Size, Status Forecast 20192025 huge collection research reports. Verticals AI service market include Banking, Financial Services, Insurance BFSI, healthcare life sciences, retail, telecommunications, government defense, manufacturing, energy, Education, Agriculture, Transportation, Media Entertainment. AI service helps verticals easily integrate AI capabilities business applications. Moreover, leveraging benefits AI service, verticals focus enhancement business processes formulation growth strategies, worrying costs related purchase maintenance AIpowered platforms tools. Get Complimentary Research Summary Report: The growing demand AIpowered services form Application Programming Interface API Software Development Kit SDK increasing number innovative startups major factors driving growth AI service market. The demand intelligent business processes growing verticals enhance overall experience delivered customers. Organizations focusing integrating AI capabilities existing business applications. However, process building APIs time consuming. Hence, verticals focused adoption easily available AIpowered APIs machine learning models solve business problems. In 2018, global Artificial Intelligence Service market size xx million US expected reach xx million US end 2025, CAGR xx 20192025. This report focuses global Artificial Intelligence Service status, future forecast, growth opportunity, key market key players. The study objectives present Artificial Intelligence Service development United States, Europe China. The key players covered study International Business Machines SAP Google Amazon Salesforce Intel Baidu Fair Isaac CorporationFICO SAS InstituteUS Market segment Type, product split Software Tools Services Market segment Application, split BFSI Telecommunications IT Retail ECommerce Government Defense Healthcare Manufacturing Energy Utilities Construction Engineering Others To Browse Complete Report TOC Visit @ Market segment RegionsCountries, report covers United States Europe China Japan Southeast Asia India Central South America The study objectives report are: To analyze study global Artificial Intelligence Service capacity, production, value, consumption, status 20132017 forecast 20182025; Focuses key Artificial Intelligence Service manufacturers, study capacity, production, value, market share development plans future. Focuses global key manufacturers, define, analyze market competition landscape, SWOT analysis. To define, forecast market type, application region. To analyze global key regions market potential advantage, opportunity challenge, restraints risks. To identify significant trends factors driving inhibiting market growth. To analyze opportunities market stakeholders identifying high growth segments. To strategically analyze submarket respect individual growth trend contribution market To analyze competitive developments expansions, agreements, new product launches, acquisitions market To strategically profile key players comprehensively analyze growth strategies. In study, years considered estimate market size Artificial Intelligence Service follows: History Year: 20142018 Base Year: 2018 Estimated Year: 2019 Forecast Year 2019 2025 For data information region, company, type application, 2017 considered base year. Whenever data information unavailable base year, prior year considered. Key Stakeholders Artificial Intelligence Service Manufacturers Artificial Intelligence Service DistributorsTradersWholesalers Artificial Intelligence Service Subcomponent Manufacturers Industry Association Downstream Vendors : delivers latest strategic market intelligence build successful business footprint China. Our syndicated customized research reports provide companies vital background information market indepth analysis Chinese trade investment framework, directly affects business operations. Reports feature valuable recommendations navigate extremely unpredictable highly attractive Chinese market. Us: Brooklyn, NY 11230 United States Toll Free: 8669974948 USACANADA Tel: 15186212074 LinkedIn: Blog Email: [emailprotected] [emailprotected] Post Views: 25 Artificial Intelligence ServiceArtificial Intelligence Service Market DynamicsArtificial Intelligence Service Market Research Post navigation Previous Post:Global Building Information Modeling BIM Market Development Trends Qualitative Analysis 2019Next Post:Application Infrastructure Middleware Market Is Booming Across Globe Explored Latest Research 2019 Popular Human Centric Lighting Market Innovative Development Activities Key Growth Factor Steel Encapsulated Raised Access Floor Market: Rising Trends Growing Demand 2022 Small satellite Market High Rate Communication Data Demands Drive ACAR Market: Emerging Trends, Technology, Applications, Highlights Challenges Forecast 2023 Xylene Market 2018 Emerging Top Manufactures, Application, Growth Rate, Forecast 2023 Cloud Gaming Market Availability Superfast Internet Connectivity Drives Demands Calcium Sulphate Board Raised Access Floor Market: Outlook By Demand, Sales, Revenue Till 2022 Global Printing Inks Market To Reach An Opportunity Of Us20.17 By The End Of 2020. Asia Pacific To Enable Global Flexible Packaging Market To Surge At A Cagr Of 4.4 By 2019 Global Lipstick Market 20182023, Trends, Challenges Industry Key Players LOreal Group, PG, Estee, Lauder, Relvon, LVMH, Shiseido, Chanel, ROHTO Global Plastic Packaging Market To Reach Over Us370.2 Bn By The End Of 2020 Biomethane Market To Gain Us2,624.5 Mn By 2025 Plastic Recycling Market To Touch Us 56.03 Bn By 2026 Global Glass Packaging Market Is ing A Healthy Cagr4.6 Between 2014 And 2020. Autoclaved Aerated Concrete aac Market To Be Worth Of Us 20 Bn By 2026 Spaceflight News hc Powered WordPress Tortuga. | 2,020 | [
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https://blog.executivebiz.com/2020/09/executive-mosaic-launches-archintel-events-delteks-august-jackson-to-keynote-archintels-ai-in-competitive-intelligence-forum-on-oct-22nd/ | 2020-09-09T00:00:00 | en | Executive Mosaic Launches ArchIntel Events; Deltek's August Jackson to Keynote Archintel's AI in Competitive Intelligence Forum on Oct. 22nd | ExecutiveBiz |
Executive Mosaic Launches ArchIntel Events; Deltek's August Jackson to Keynote Archintel's AI in Competitive Intelligence Forum on Oct. 22nd | ExecutiveBiz
Wednesday , September 9 2020
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Breaking News Executive Mosaic Launches ArchIntel Events; Deltek’s August Jackson to Keynote Archintel’s AI in Competitive Intelligence Forum on Oct. 22nd AFS Wins $90M Contract to Develop Cloud-Based Common USAF ERP Infrastructure; Vince Vlasho, Susan Lawrence Quoted Business Professionals to Discuss Market, COVID-19, Networking at Deltek Insight 2020; Featuring Mike Corkery Boom to Explore USAF Executive Transport Version of Supersonic Airliner Elbit Systems Subsidiary to Build Night Targeting Sight Prototypes for Marine Corps L3Harris Delivers 1K+ Night Vision Binoculars to Army CenturyLink Subsidiary Awarded $70M DISA Dark Fiber Maintenance Support Contract Modification Army Issues RFI on Optionally Manned Combat Vehicle Components Ron Sugar, Jim Moffatt Join SparkCognition Advisory Board DARPA Taps Kryptowire to Support 5G Network Security R&D Program
Home/Competitive Intelligence/Executive Mosaic Launches ArchIntel Events; Deltek’s August Jackson to Keynote Archintel’s AI in Competitive Intelligence Forum on Oct. 22nd
Executive Mosaic Launches ArchIntel Events; Deltek’s August Jackson to Keynote Archintel’s AI in Competitive Intelligence Forum on Oct. 22nd
William McCormick
September 9, 2020
Competitive Intelligence, Events, News
ArchIntelAs the leader in exclusive peer networking events, virtual events and media in the government contracting (GovCon) sector, Executive Mosaic continues to expand its platform with the launch of ArchIntel Events. To learn more about ArchIntel’s first virtual event click here.
ArchIntel Events provides the best forum for the significant executives of consequence to share their insights, expertise and experiences in competitive intelligence. In GovCon and federal sectors, competitive intelligence is essential to provide executives with the timely information needed to make key decisions for their respective organizations.
“In our industry of defense, intelligence and national security, along with the solutions we build and continue to support, every person is essentially a sensor in regards to competitive intelligence,” said Chris Reichert, vice president of Strategy with Hexagon US Federal, during a recent interview with ArchIntel as part of the ‘Competitive Intelligence Spotlight Series.’
Thus far, ArchIntel has spoken to competitive intelligence experts from across the federal sector and industry, including:
Anthony Verna of Cubic Mission Solutions
Chad Ehrmantraut of Perspecta
Robin Riviere and Jennifer Marrion of SAIC
Joel Koerber of ICF
Todd Fitzgerald of Leidos
Jennifer Kauffman of Cybercore Technologies
Valerie Roberts of Jacobs
Tim Tibbits of Concurrent Technologies
Chris Reichert of Hexagon US Federal
John Foley of DSA
Amy Hutchins of IBM
Adam Harrison of PAE
Steven Stratton of Forcepoint
Gerald Werner of Maximus
Jeremy Ross of Trace Systems
Lisa Faherty-Vance of Vectrus
Ezmeralda Sager of Booz Allen Hamilton
John Steckel of AMERICAN SYSTEMS
Rick Herrmann of Intel
Ronald “Fog” Hahn of Amentum
Becky John of ECS Tech
and counting…
Check out our full interviews for ArchIntel’s Competitive Intelligence Spotlight Series here.
On October 22nd, ArchIntel Events will host the ArchIntel – AI in Competitive Intelligence Forum as its first virtual event featuring August Jackson, senior director of Marketing and Competitive Intelligence for Deltek, as the keynote speaker.
August Jackson, Senior Director, Market and Competitive Intelligence, Deltek
In addition to Jackson’s keynote address, ArchIntel’s AI in Competitive Intelligence Forum will feature a full panel of the most respected and knowledgeable executives in the federal sector to discuss the ways that artificial intelligence, machine learning, big data and other emerging technologies have transformed how competitive intelligence is used in the GovCon industry.
The expert panel will feature: Suki Fuller of Competitive Intelligence Fellows, Dr. Fred Hoffman of Mercyhurst University and Arik Johnson of Aurora Worldwide Development Corp. as panelists.
Please join ArchIntel for its first virtual event on October 22nd to hear from some of the most esteemed minds in competitive intelligence on the opportunities and challenges arising from AI technology and how CI professionals can adapt and thrive in a post COVID-19 technological world.
Register here to attend ArchIntel’s first virtual event: AI in Competitive Intelligence Forum
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| Executive Mosaic Launches ArchIntel Events; Deltek's August Jackson to Keynote Archintel's AI in Competitive Intelligence Forum on Oct. 22nd | Executive Mosaic Launches ArchIntel Events; Delteks August Jackson Keynote Archintels AI Competitive Intelligence Forum Oct. 22nd ExecutiveBiz Wednesday , September 9 2020 Executive Mosaic POC GovCon Wire ExecutiveGov GovConExec GovConVideo Weekly RoundUp ExecutiveBiz ExecutiveBiz covers emerging companies Washingtons government contracting sector. 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https://www.thetelegraph.com/features/article/Alton-Symphony-Orchestra-backs-the-Bard-in-15068573.php | 2020-02-19T00:00:00 | en | Alton Symphony Orchestra backs the Bard in concert with ‘For the Shakespearean Soul’ - Alton Telegraph |
Alton Symphony Orchestra backs the Bard in concert with ‘For the Shakespearean Soul’ - Alton Telegraph
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https://www.thetelegraph.com/features/article/Alton-Symphony-Orchestra-backs-the-Bard-in-15068573.php
Alton Symphony Orchestra backs the Bard in concert with ‘For the Shakespearean Soul’
Vicki Bennington For The Telegraph
Published
3:27 pm CST, Wednesday, February 19, 2020
Alton Symphony Orchestra (ASO) Maestro Wm. Shane Williams conducts the orchestra, as he will for ASO’s upcoming concert, “For the Shakespearean Soul,” bringing compositions from some of Shakespeare’s most famous works to life. less
Alton Symphony Orchestra (ASO) Maestro Wm. Shane Williams conducts the orchestra, as he will for ASO’s upcoming concert, “For the Shakespearean Soul,” bringing compositions from some of Shakespeare’s ... more
Photo: Submitted Photos|For The Telegraph
Photo: Submitted Photos|For The Telegraph
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Alton Symphony Orchestra (ASO) Maestro Wm. Shane Williams conducts the orchestra, as he will for ASO’s upcoming concert, “For the Shakespearean Soul,” bringing compositions from some of Shakespeare’s most famous works to life. less
Alton Symphony Orchestra (ASO) Maestro Wm. Shane Williams conducts the orchestra, as he will for ASO’s upcoming concert, “For the Shakespearean Soul,” bringing compositions from some of Shakespeare’s ... more
Photo: Submitted Photos|For The Telegraph
Alton Symphony Orchestra backs the Bard in concert with ‘For the Shakespearean Soul’
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GODFREY — Chances are, Shakespeare’s words have spoken to everyone’s soul in one way or another, whether they knew it or not, and Alton Symphony Orchestra’s (ASO) upcoming concert brings some of the music that was inspired by his heartfelt writings.
Under the direction of Maestro Wm. Shane Williams, the orchestra will perform “For the Shakespearean Soul,” a concert that brings Pyotr Ilyich Tchaikovsky’s “Romeo and Juliet” to life, along with Gioachino Rossini’s “Overture to Othello,” Jean Sibelius’ “Der Sturm (from ‘The Tempest’)” and Felix Mendelssohn’s “A Midsummer Night’s Dream.” The concert starts at 3 p.m. Sunday, Feb. 23, at Hatheway Cultural Center, on the campus of Lewis and Clark Community College, Godfrey.
The concert includes guest conductor Abigail Knoche directing the Alton Youth Symphony for two pieces: a selection from “Charlie and the Chocolate Factory,” for which the stage musical’s music is by Marc Shaiman, and “Warrior Legacy,” by Soon Hee Newbold.
The Alton Youth Symphony was founded in 1969, and provides an opportunity for elementary and middle school students to play in a full orchestra setting and opportunities to grow musically. It has served students from more than 30 different school districts and participates in community outreach through the Alton Youth Symphony Chamber Ensemble.
“Several members of the Alton Symphony Orchestra were one-time members of the Alton Youth Symphony,” said ASO president Steve McCann. “I am proud to say that I was a member in 1971 and 1972.
“This concert isn’t just about providing another musical opportunity for these young musicians, it’s a time for people like me to look back and realize just how fortunate I am to have had such a great musical outlet like the youth symphony in my life. I could not be prouder.”
More Information
If you go:
What: “For the Shakespearean Soul,” a concert presented by Alton Symphony Orchestra
When: 3 p.m., Sunday, Feb. 23
Where: Hatheway Cultural Center, Lewis and Clark Community College, Godfrey
Info: Tickets cost $10 for adults; $5 for senior citizens and students. Tickets are available at all Liberty Bank branches, the Alton Regional Convention & Visitors Bureau, and the day of the concert at the door. Visit www.altonsymphony.com for more information.
ASO will also present “Cello Concerto in B Minor” by Antonín Dvořák, featuring the Marie Stillwell Young Artist champion, Jacob Hinton.
“Of the twenty-five amazing musicians who performed at this annual competition, Jacob was selected as this year’s finest,” McCann said. “Winning our orchestra’s Marie Stillwell Concerto Competition is one of the most sought-after prizes in Southern Illinois and Missouri.
“In addition to the modest scholarship provided, this competition gives these remarkable musicians a chance to perform on stage with a live orchestra.”
Hinton, a 17-year-old cellist, is a senior at Lafayette High School in Wildwood, Missouri. He began playing piano at age 7, and cello at age 9. He has played with the St. Louis Symphony Youth Orchestra, the Missouri All State Orchestra, the NAfME All-National Honors Orchestra, the St. Charles County Youth Orchestra and the Lafayette High School Symphonic Orchestra.
He has also been involved with the preparatory program of the Community Music School of Webster University since 2017, of which he has been in a competition group for the past two years. He has participated in the Indiana University Summer Strings Academy and the Bowdoin International Music Festival. Hinton earned honorable mention in the University of Missouri St. Louis’ Young Artist Competition in 2018 and 2019, and has received scholarships from the Buder Charitable Foundation and Dr. Kenneth R. Mares.
He plans to attend a music conservatory where he can pursue his love of cello and classical music with the goal of either becoming a musician in a symphony orchestra or a college professor in cello or music theory.
Tickets cost $10 for adults; $5 for senior citizens and students. Tickets are available at all Liberty Bank branches, the Alton Regional Convention & Visitor Bureau, and the day of the concert at the door. Visit www.altonsymphony.com for more information.
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| Alton Symphony Orchestra backs the Bard in concert with ‘For the Shakespearean Soul’ | Alton Symphony Orchestra backs Bard concert For Shakespearean Soul Alton Telegraph r Services Home Us Advertise Privacy Notice Terms Use News Archives Special Sections President Trump News Tip Election 2020 Online Forms RSS Feeds Daiber calls ethics probe allegations OFallon woman planned kill 3 kids carbon dioxide, Execution date set man convicted killing 81yearold woman Illinois lawmakers eye 10cent plastic bag fee stores Sports Submit scores Submit sports news Pro32 TUESDAYS BOYS ROUNDUP: Churchman shoots Jersey OT MENS SOCCER: Billikens announced spring slate Triad downs Alton 51, MVCHA semifinal series tied Tigers care basketball stun Kahoks, Obituaries Submit obituary Features Games Contests Special Sections Comics Horoscopes Submit Anniversary Submit Birth Submit Birthday Submit Engagement Submit Wedding Movies Mary: Dog story The Call Wild Our Education: Schools engineering business host Alton Symphony Orchestra backs Bard concert Piano soloist visit Greenville University Schoenhals guest 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 Alton Symphony Orchestra backs Bard concert For Shakespearean Soul Vicki Bennington For The Telegraph Published 3:27pm CST, Wednesday, February 19, 2020 Alton Symphony Orchestra ASO Maestro Wm. Shane Williams conducts orchestra, ASOs upcoming concert, For Shakespearean Soul, bringing compositions Shakespeares famous works life. Alton Symphony Orchestra ASO Maestro Wm. Shane Williams conducts orchestra, ASOs upcoming concert, For Shakespearean Soul, bringing compositions Shakespeares ... Photo: Submitted PhotosFor The Telegraph Photo: Submitted PhotosFor The Telegraph Image 1 4 Caption Close Image 1 4 Alton Symphony Orchestra ASO Maestro Wm. Shane Williams conducts orchestra, ASOs upcoming concert, For Shakespearean Soul, bringing compositions Shakespeares famous works life. Alton Symphony Orchestra ASO Maestro Wm. Shane Williams conducts orchestra, ASOs upcoming concert, For Shakespearean Soul, bringing compositions Shakespeares ... Photo: Submitted PhotosFor The Telegraph Alton Symphony Orchestra backs Bard concert For Shakespearean Soul 1 4 Back Gallery GODFREY Chances are, Shakespeares words spoken everyones soul way another, knew not, Alton Symphony Orchestras ASO upcoming concert brings music inspired heartfelt writings. Under direction Maestro Wm. Shane Williams, orchestra perform For Shakespearean Soul, concert brings Pyotr Ilyich Tchaikovskys Romeo Juliet life, Gioachino Rossinis Overture Othello, Jean Sibelius Der Sturm The Tempest Felix Mendelssohns A Midsummer Nights Dream. The concert starts 3 p.m. Sunday, Feb. 23, Hatheway Cultural Center, campus Lewis Clark Community College, Godfrey. The concert includes guest conductor Abigail Knoche directing Alton Youth Symphony pieces: selection Charlie Chocolate Factory, stage musicals music Marc Shaiman, Warrior Legacy, Soon Hee Newbold. The Alton Youth Symphony founded 1969, provides opportunity elementary middle school students play orchestra setting opportunities grow musically. It served students 30 different school districts participates community outreach Alton Youth Symphony Chamber Ensemble. Several members Alton Symphony Orchestra onetime members Alton Youth Symphony, said ASO president Steve McCann. I proud I member 1971 1972. This concert isnt providing musical opportunity young musicians, time people like look realize fortunate I great musical outlet like youth symphony life. I prouder. More Information If go: What: For Shakespearean Soul, concert presented Alton Symphony Orchestra When: 3 p.m., Sunday, Feb. 23 Where: Hatheway Cultural Center, Lewis Clark Community College, Godfrey Info: Tickets cost 10 adults; 5 senior citizens students. Tickets available Liberty Bank branches, Alton Regional Convention Visitors Bureau, day concert door. Visit information. ASO present Cello Concerto B Minor Antonn Dvok, featuring Marie Stillwell Young Artist champion, Jacob Hinton. Of twentyfive amazing musicians performed annual competition, Jacob selected years finest, McCann said. Winning orchestras Marie Stillwell Concerto Competition soughtafter prizes Southern Illinois Missouri. In addition modest scholarship provided, competition gives remarkable musicians chance perform stage live orchestra. Hinton, 17yearold cellist, senior Lafayette High School Wildwood, Missouri. He began playing piano age 7, cello age 9. He played St. Louis Symphony Youth Orchestra, Missouri All State Orchestra, NAfME AllNational Honors Orchestra, St. Charles County Youth Orchestra Lafayette High School Symphonic Orchestra. He involved preparatory program Community Music School Webster University 2017, competition group past years. He participated Indiana University Summer Strings Academy Bowdoin International Music Festival. Hinton earned honorable mention University Missouri St. Louis Young Artist Competition 2018 2019, received scholarships Buder Charitable Foundation Dr. Kenneth R. Mares. He plans attend music conservatory pursue love cello classical music goal musician symphony orchestra college professor cello music theory. Tickets cost 10 adults; 5 senior citizens students. Tickets available Liberty Bank branches, Alton Regional Convention Visitor Bureau, day concert door. Visit information. Recent News Private sting leads arrest Jerseyville man accused of... BY Scott Cousins Madison County Board member accused sexual harassment... BY Scott Cousins Local ports post tonnage mark BY The Telegraph Alton man accused shooting teen IDd, remains at... BY Sanford Schmidt sschmidt Nathan Woodside View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Todays EEdition Customer Service Newsroom Connect Facebook Twitter RSS Hearst Newspapers Hearst Communications, . | 2,020 | [
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HomeUncategorizedAI in Computer Vision Market Analysis of Major Segments and Future Opportunity Assessment 2020-2027
AI in Computer Vision Market Analysis of Major Segments and Future Opportunity Assessment 2020-2027
Posted On: November 3, 2020
Posted By: Joseph Watson
Comments: 0
The Global AI in Computer Vision Market report, published by Verified Market Research, is an extensive compilation of the essential aspects of the global AI in Computer Vision market, assessed thoroughly by our team of researchers. The market intelligence report offers insightful data and information relevant to the market to acquaint the readers with the lucrative growth prospects existing in this industry, eventually helping them formulate effective business strategies. The global AI in Computer Vision market report has been methodically curated using industry-verified data to offer information concerned with the leading manufacturers and suppliers engaged in this sector. It further focuses on their pricing analysis, gross revenue, product portfolio, sales network & distribution channels, profit margins, and financial standing.
Global AI in Computer Vision Market was valued at USD 3.32 Billion in 2018 and is projected to reach USD 68.11 Billion by 2026, growing at a CAGR of 45.64 % from 2019 to 2026.
Get a sample of the report @ https://www.verifiedmarketresearch.com/download-sample/?rid=29167
Competitive Landscape:
The global AI in Computer Vision market is highly consolidated due to the presence of a large number of companies across this industry. The report discusses the current market standing of these companies, their past performances, demand and supply graphs, production and consumption patterns, sales network, distribution channels, and growth opportunities in the market. Moreover, it highlights the strategic approaches of the key players towards expanding their product offerings and reinforcing their market presence.
The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:
Wikitude
NVIDIA
Intel
Qualcomm
General Electric
Xilinx
Apple
Alphabet
Microsoft Corporation
Facebook
The report further sheds light on the various strategic business initiatives undertaken by the key market contenders to fortify their foothold in this business sector. These strategies majorly include mergers & acquisitions, partnerships & collaborations, joint ventures, government and corporate deals, brand promotions, new product launches, and numerous others. In the later part of the report, the major components of the AI in Computer Vision industry, such as product type, application gamut, end-use industries, and the solutions and services offered by the leading manufacturers, have been analyzed. Numerical data and subjective information pertaining to each market segment have been featured in the report for better understanding.
Therefore, the latest research document includes competitive analysis, key market players, crucial industry-related facts & figures, sales revenue, product prices, gross margins, market shares, business strategies, dominant regions, and key developments.
Global AI in Computer Vision Market, By Vertical
• Agriculture• Automotive• Consumer• Healthcare• Robotics and Machine Vision• Others
Request a discount on the report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=29167
The report encompasses the significant effects of the coronavirus pandemic on the AI in Computer Vision market and its key segments. The report offers a vivid picture of the current market scenario, closely investigating the impact of the pandemic on this specific business sphere, its leading players, supply chains, distribution channels, and its global scenario. The pandemic has affected the global industry extensively, subsequently disrupting the AI in Computer Vision market mechanism. Furthermore, the research study examines the AI in Computer Vision market and the recent disruptive changes in the business setting that followed the outbreak. Also, the future effects of the pandemic on the market have been assessed in the report.
Key Geographies Encompassed in the Report:
North America (U.S., Canada)Europe (U.K., Germany, Italy, France, Rest of EU)Asia Pacific (India, Japan, China, Australia, Rest of APAC)Latin America (Brazil, Argentina, Rest of Latin America)Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Market Taxonomy:
Chapter 1: Methodology & Scope
Definition and forecast parametersMethodology and forecast parametersData Sources
Chapter 2: Executive Summary
Business trendsRegional trendsProduct trends
Chapter 3: Industry Insights
Industry segmentationIndustry landscapeVendor matrixTechnological and innovation landscape
Chapter 4: Regional Landscape
Chapter 5: Competitive Outlook
Company ProfileBusiness OverviewFinancial DataProduct LandscapeStrategic Outlook
To read more about the report, visit @ https://www.verifiedmarketresearch.com/product/AI-in-Computer-Vision-Market/
Advantages of the AI in Computer Vision Market Report:
– The report offers a clear description of the global AI in Computer Vision market, containing the current market growth inclinations and future estimations to help businesses identify the potential investment areas.
– The report covers the major market growth drivers, and constraints, alongside an extensive COVID-19 impact analysis.
– The all-inclusive market feasibility reveals the profit-making trends to obtain a powerful foothold in the AI in Computer Vision industry.
– The SWOT analysis and Porter’s Five Forces Analysis explicate the effectiveness of the customers and providers from a global perspective.
About us:
Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ customers. Verified Market Research provides advanced analytical research solutions while offering information enriched research studies. We offer insight into strategic and growth analyses, Data necessary to achieve corporate goals, and critical revenue decisions.
Our 250 Analysts and SME’s offer a high level of expertise in data collection and governance use industrial techniques to collect and analyze data on more than 15,000 high impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.
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| AI in Computer Vision Market Analysis of Major Segments and Future Opportunity Assessment 2020-2027 | AI Computer Vision Market Analysis Major Segments Future Opportunity Assessment 20202027 Eurowire Eurowire Coronavirus Economy Energy Politics Space HomeUncategorizedAI Computer Vision Market Analysis Major Segments Future Opportunity Assessment 20202027 AI Computer Vision Market Analysis Major Segments Future Opportunity Assessment 20202027 Posted On: November 3, 2020 Posted By: Joseph Watson Comments: 0 The Global AI Computer Vision Market report, published Verified Market Research, extensive compilation essential aspects global AI Computer Vision market, assessed thoroughly team researchers. The market intelligence report offers insightful data information relevant market acquaint readers lucrative growth prospects existing industry, eventually helping formulate effective business strategies. The global AI Computer Vision market report methodically curated industryverified data offer information concerned leading manufacturers suppliers engaged sector. It focuses pricing analysis, gross revenue, product portfolio, sales network distribution channels, profit margins, financial standing. Global AI Computer Vision Market valued USD 3.32 Billion 2018 projected reach USD 68.11 Billion 2026, growing CAGR 45.64 2019 2026. Get sample report @ Competitive Landscape: The global AI Computer Vision market highly consolidated presence large number companies industry. The report discusses current market standing companies, past performances, demand supply graphs, production consumption patterns, sales network, distribution channels, growth opportunities market. Moreover, highlights strategic approaches key players expanding product offerings reinforcing market presence. The report covers extensive analysis key market players market, business overview, expansion plans, strategies. The key players studied report include: Wikitude NVIDIA Intel Qualcomm General Electric Xilinx Apple Alphabet Microsoft Corporation Facebook The report sheds light strategic business initiatives undertaken key market contenders fortify foothold business sector. These strategies majorly include mergers acquisitions, partnerships collaborations, joint ventures, government corporate deals, brand promotions, new product launches, numerous others. In later report, major components AI Computer Vision industry, product type, application gamut, enduse industries, solutions services offered leading manufacturers, analyzed. Numerical data subjective information pertaining market segment featured report better understanding. Therefore, latest research document includes competitive analysis, key market players, crucial industryrelated facts figures, sales revenue, product prices, gross margins, market shares, business strategies, dominant regions, key developments. Global AI Computer Vision Market, By Vertical Agriculture Automotive Consumer Healthcare Robotics Machine Vision Others Request discount report @ The report encompasses significant effects coronavirus pandemic AI Computer Vision market key segments. The report offers vivid picture current market scenario, closely investigating impact pandemic specific business sphere, leading players, supply chains, distribution channels, global scenario. The pandemic affected global industry extensively, subsequently disrupting AI Computer Vision market mechanism. Furthermore, research study examines AI Computer Vision market recent disruptive changes business setting followed outbreak. Also, future effects pandemic market assessed report. Key Geographies Encompassed Report: North America U.S., CanadaEurope U.K., Germany, Italy, France, Rest EUAsia Pacific India, Japan, China, Australia, Rest APACLatin America Brazil, Argentina, Rest Latin AmericaMiddle East Africa Saudi Arabia, U.A.E., South Africa, Rest MEA Market Taxonomy: Chapter 1: Methodology Scope Definition forecast parametersMethodology forecast parametersData Sources Chapter 2: Executive Summary Business trendsRegional trendsProduct trends Chapter 3: Industry Insights Industry segmentationIndustry landscapeVendor matrixTechnological innovation landscape Chapter 4: Regional Landscape Chapter 5: Competitive Outlook Company ProfileBusiness OverviewFinancial DataProduct LandscapeStrategic Outlook To read report, visit @ Advantages AI Computer Vision Market Report: The report offers clear description global AI Computer Vision market, containing current market growth inclinations future estimations help businesses identify potential investment areas. The report covers major market growth drivers, constraints, alongside extensive COVID19 impact analysis. The allinclusive market feasibility reveals profitmaking trends obtain powerful foothold AI Computer Vision industry. The SWOT analysis Porters Five Forces Analysis explicate effectiveness customers providers global perspective. About us: Verified Market Research leading Global Research Consulting firm servicing 5000 customers. Verified Market Research provides advanced analytical research solutions offering information enriched research studies. We offer insight strategic growth analyses, Data necessary achieve corporate goals, critical revenue decisions. Our 250 Analysts SMEs offer high level expertise data collection governance use industrial techniques collect analyze data 15,000 high impact niche markets. Our analysts trained combine modern data collection techniques, superior research methodology, expertise, years collective experience produce informative accurate research. us: Mr. Edwyne Fernandes US: 1 6507814080UK: 44 2034119686APAC: 91 9028635784US TollFree: 1 8007821768 Email: [emailprotected] Ai In Computer Vision MarketAi In Computer Vision Market DemandAI Computer Vision Market SizeAI Computer Vision Market Trends Post navigation Prev PostNext Post Recent Posts Chelating Agents Market 2019 Share, Size, Future Demand, Global Research, Top Leading player, Emerging Trends, Region Forecast 2026, By Reports And Data XRay Irradiators Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 2020 2026 COVID19 Update: Global Customer Experience CX Administration Software Market Expected Grow Healthy CAGR Top players: Zendesk, IBM, Satmetrix, ResponseTek, ClickTale, etc. InForGrowth Covid19 Impact Global Erythritol Market 20202025 Potential growth, attractive valuation longterm investment Top Players: Cargill, Fultaste, Shandong Sanyuan Biotechnology, Baolingbao Biology, etc. GlobMarketReports Global Ethernet Test Equipment Market 2020 Recovering From Covid19 Outbreak Know About Brand Players: Spirent Communications, Beijing Xinertel Technology Co., Ltd., Keysight Technologies ixia, etc. GlobMarketReports Archives November 2020 October 2020 September 2020 August 2020 July 2020 June 2020 Categories Coronavirus Economy Energy News Politics Space Sports Uncategorized Meta Log Entries feed Comments feed Eurowire Everestthemes | 2,020 | [
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https://finance.yahoo.com/news/software-firm-2020-rally-exceeds-204031559.html | 2020-07-03T00:00:00 | en | Tech Firm’s 2020 Rally Exceeds 100% With Deal for AI Startup | Tech Firm’s 2020 Rally Exceeds 100% With Deal for AI StartupYahooSearchNo matching results for ''Tip: Try a valid symbol or a specific company name for relevant resultsCancelSign inMailFinanceWatchlistsMy PortfolioScreenersPremiumMarketsNewsPersonal FinanceVideosIndustriesTechU.S. markets closedS&P 5003,130.01+14.15(+0.45%)Dow 3025,827.36+92.39(+0.36%)Nasdaq10,207.63+53.00(+0.52%)Russell 20001,431.86+4.55(+0.32%)Crude Oil40.08-0.57(-1.40%)Gold1,787.90-2.10(-0.12%)Silver18.28-0.04(-0.20%)EUR/USD1.1235-0.0006(-0.06%)Tech Firm’s 2020 Rally Exceeds 100% With Deal for AI StartupIlya BanaresBloombergJuly 3, 2020ReblogShareTweetShare(Bloomberg) -- Software provider Kinaxis Inc. surged to a record high as it completed a deal for Rubikloud Technologies Inc. to boost its artificial intelligence capabilities.Ottawa-based Kinaxis, whose clients include Unilever NV and Lockheed Martin Corp., briefly passed $4 billion in market value for the first time Thursday amid a broad rally in Canadian technology stocks. The firm sells products that help companies manage supply chains, sales and operations.Its 103% rise this year makes it the fourth-best performing stock on the S&P/TSX Composite Index. The Covid-19 crisis has helped the business as global supply chains have been disrupted: Kinaxis has seen a 20% increase in user activity since January, Chief Executive Officer John Sicard said in an interview.“There’s never been a time where we’re more relevant, and especially under this particular crisis where all supply chains are experiencing a tremendous amount of volatility and disruption,” Sicard said, describing his company as “Canada’s best-kept secret.”The firm seized on Rubikloud to fill a gap in its product lineup. The target company, co-founded in 2013 by Kerry Liu, serves the enterprise retail industry, which Kinaxis did not.“Retail is not a vertical they’re currently in, but one that obviously, if you want to be a global leader in supply chain, you can’t ignore,” Liu said.Machine LearningThe Toronto startup has also made more advances in artificial intelligence and machine learning than Kinaxis has, Sicard said. These include helping clients predict the demand for an item so that they can determine appropriate pricing, according to Liu.The $60 million cash deal, announced June 15, had been in the making for a few months. Although the two companies had known each other for years, it was only earlier this year when talks started to heat up. At a dinner at Sicard’s home in Kanata, an Ottawa suburb, the two men found themselves “nearly finishing each other’s sentences,” Sicard said.Soon after, they decided to join forces.“In the world of acquisitions you usually find out it’s someone south of the border buying up Canadian technology. It’s not as common to see a Canadian company creating a union with another Canadian company,” he added.Liu will lead strategic innovation at the company. “I see myself continuing to be an evangelist in the space,” he said. “I think it’s as much about understanding and making sure that I’m a subject matter expert where available and then working closely on figuring out what do we need to do in the supply chain together now in this new world.”Rubikloud is Kinaxis’s second acquisition since going public in 2014. In February, it bought Indian firm Prana Consulting Services Pvt. Ltd. for an undisclosed sum.The stock is well-liked by analysts with 10 buy ratings, two hold recommendations and no sells, according to data compiled by Bloomberg.(Adds more CEO comments in tenth paragraph and analyst data in last paragraph.)For more articles like this, please visit us at bloomberg.comSubscribe now to stay ahead with the most trusted business news source.©2020 Bloomberg L.P.ReblogShareTweetShareRecently ViewedYour list is empty.What to Read NextTech Firm’s 2020 Rally Exceeds 100% With Deal for AI StartupBloombergArtist recreates lifelike AI renderings of famous historical figures and monumentsYahoo News UKThe Cost of Bad Market Timing Decisions in 2020 Was AnnihilationBloombergEurope Stocks Fall as Futures Fluctuate; Oil Slips: Markets WrapBloombergWill Deutsche Bank Come to Wirecard's Rescue? 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Then Jack Ma’s Rival QuitBloombergAlmost 12 million children live in a household that missed rent or mortgage payments during COVID-19: surveyYahoo Finance‘When the vaccine comes, I think that’ll be the last leg of the rally‘: UBS Americas CIO Yahoo Finance VideoDow Jones Futures: Coronavirus Stock Market Rally Fades, But Four New Breakouts; What's Next For Tesla?Investor's Business DailyTrump most disappointing 'as a figurehead of our morality': music executive Scooter BraunYahoo FinanceCoronavirus: Health care experts call for nationwide special enrollment periodYahoo FinanceNouriel Roubini: 'My prediction for a Great Depression is not about 2020, but the decade of the 2020s'Yahoo Finance VideoCoronavirus response: What Washington has accomplished and what's nextYahoo FinanceBreaking down what PPP loan extension means for small businessesYahoo Finance VideoHow Much Are ContraFect Corporation (NASDAQ:CFRX) Insiders Spending On Buying Shares?Simply Wall St.Workers on re-openings: 'I would like to never go back to the office'Yahoo FinancePeter Thiel-Backed Surveillance Startup Anduril Is Valued at $1.9 BillionBloombergCoronavirus surge has economists not believing ‘hype’ of June jobs blowoutYahoo FinanceMandatory face masks could prevent 5% GDP hit: Goldman SachsYahoo Finance VideoIs Nintendo Stock a Buy?Motley FoolTrump falls behind Biden in May fundraising as Obama preps for fundraiser with his former VPYahoo Finance VideoDisney delays reopening of Disneyland, weighs debut of ‘Mulan’ Yahoo Finance VideoHow to salvage retirement finances after pandemic setbacksYahoo Finance VideoCoronavirus latest: Thursday, July 2Yahoo Finance Video
| Tech Firm’s 2020 Rally Exceeds 100% With Deal for AI Startup | Tech Firms 2020 Rally Exceeds 100 With Deal AI StartupYahooNo matching results Tip: Try valid symbol specific company relevant resultsCancelSign inMailFinanceWatchlistsMy PortfolioScreenersPremiumMarketsNewsPersonal FinanceVideosIndustriesTechU.S. markets closedSP 5003,130.0114.150.45Dow 3025,827.3692.390.36Nasdaq10,207.6353.000.52Russell 20001,431.864.550.32Crude Oil40.080.571.40Gold1,787.902.100.12Silver18.280.040.20EURUSD1.12350.00060.06Tech Firms 2020 Rally Exceeds 100 With Deal AI StartupIlya BanaresBloombergJuly 3, 2020ReblogShareTweetShareBloomberg Software provider Kinaxis . surged record high completed deal Rubikloud Technologies . boost artificial intelligence capabilities.Ottawabased Kinaxis, clients include Unilever NV Lockheed Martin Corp., briefly passed 4 billion market value time Thursday amid broad rally Canadian technology stocks. The firm sells products help companies manage supply chains, sales operations.Its 103 rise year makes fourthbest performing stock SPTSX Composite Index. The Covid19 crisis helped business global supply chains disrupted: Kinaxis seen 20 increase user activity January, Chief Executive Officer John Sicard said interview.Theres time relevant, especially particular crisis supply chains experiencing tremendous volatility disruption, Sicard said, describing company Canadas bestkept secret.The firm seized Rubikloud gap product lineup. The target company, cofounded 2013 Kerry Liu, serves enterprise retail industry, Kinaxis not.Retail vertical theyre currently in, obviously, want global leader supply chain, ignore, Liu said.Machine LearningThe Toronto startup advances artificial intelligence machine learning Kinaxis has, Sicard said. These include helping clients predict demand item determine appropriate pricing, according Liu.The 60 million cash deal, announced June 15, making months. Although companies known years, earlier year talks started heat up. At dinner Sicards home Kanata, Ottawa suburb, men nearly finishing sentences, Sicard said.Soon after, decided join forces.In world acquisitions usually south border buying Canadian technology. Its common Canadian company creating union Canadian company, added.Liu lead strategic innovation company. I continuing evangelist space, said. I think understanding making sure Im subject matter expert available working closely figuring need supply chain new world.Rubikloud Kinaxiss second acquisition going public 2014. In February, bought Indian firm Prana Consulting Services Pvt. Ltd. undisclosed sum.The stock wellliked analysts 10 buy ratings, hold recommendations sells, according data compiled Bloomberg.Adds CEO comments tenth paragraph analyst data paragraph.For articles like this, visit bloomberg.com stay ahead trusted business news source.2020 Bloomberg L.P.ReblogShareTweetShareRecently ViewedYour list empty.What Read NextTech Firms 2020 Rally Exceeds 100 With Deal AI StartupBloombergArtist recreates lifelike AI renderings famous historical figures monumentsYahoo News UKThe Cost Bad Market Timing Decisions 2020 Was AnnihilationBloombergEurope Stocks Fall Futures Fluctuate; Oil Slips: Markets WrapBloombergWill Deutsche Bank Cometo Wirecards Rescue? If OnlyBloombergCelebrating 4th July time racial unrestYahoo FinanceJhacova Williams economic cost racist symbols Yahoo Finance VideoQAnon: Why rabid proTrump conspiracy theories gaining steamYahoo FinanceThis week Trumponomics: A premature victory lapYahoo FinanceIts going uphill battle economic expansion going recover lost jobs: EconomistYahoo Finance VideoOil Pares Weekly Gain With Virus Fears Countering Tighter SupplyBloombergWorlds Largest Pension Fund Loses 165Billion Worst QuarterBloombergElon Musk Taunts SEC Amid Surge Tesla Stock PriceBloombergHis Wealth Surged 25 Billion. Then Jack Mas Rival QuitBloombergAlmost 12 million children live household missed rent mortgage payments COVID19: surveyYahoo FinanceWhen vaccine comes, I think thatll leg rally: UBS Americas CIO Yahoo Finance VideoDow Jones Futures: Coronavirus Stock Market Rally Fades, But Four New Breakouts; Whats Next For Tesla?Investors Business DailyTrump disappointing figurehead morality: music executive Scooter BraunYahoo FinanceCoronavirus: Health care experts nationwide special enrollment periodYahoo FinanceNouriel Roubini: My prediction Great Depression 2020, decade 2020sYahoo Finance VideoCoronavirus response: What Washington accomplished whats nextYahoo FinanceBreaking PPP loan extension means small businessesYahoo Finance VideoHow Much Are ContraFect Corporation NASDAQ:CFRX Insiders Spending On Buying Shares?Simply Wall St.Workers reopenings: I like officeYahoo FinancePeter ThielBacked Surveillance Startup Anduril Is Valued 1.9BillionBloombergCoronavirus surge economists believing hype June jobs blowoutYahoo FinanceMandatory face masks prevent 5 GDP hit: Goldman SachsYahoo Finance VideoIs Nintendo Stock Buy?Motley FoolTrump falls Biden May fundraising Obama preps fundraiser VPYahoo Finance VideoDisney delays reopening Disneyland, weighs debut Mulan Yahoo Finance VideoHow salvage retirement finances pandemic setbacksYahoo Finance VideoCoronavirus latest: Thursday, July 2Yahoo Finance Video | 2,020 | [
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https://scientect.com/news/1376650/cognitive-system-artificial-intelligence-ai-systems-market-analysis-growth-by-top-companies-trends-by-types-and-application-forecast-to-2026/ | 2020-09-07T00:00:00 | en | Cognitive System & Artificial Intelligence (AI) Systems Market Analysis, Growth by Top Companies, Trends by Types and Application, Forecast to 2026 – Scientect |
Cognitive System & Artificial Intelligence (AI) Systems Market Analysis, Growth by Top Companies, Trends by Types and Application, Forecast to 2026 – Scientect
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Cognitive System & Artificial Intelligence (AI) Systems Market Analysis, Growth by Top Companies, Trends by Types and Application, Forecast to 2026
sagar.g September 7, 2020
This research report Added by Market Study Report, LLC, about the ‘ Cognitive System & Artificial Intelligence (AI) Systems market’ provides concise details on the market regional spectrum, industry size, and profit forecast. Besides that, the report illustrates primary obstacles and new expansion strategies implemented by key players in the industry.
The Cognitive System & Artificial Intelligence (AI) Systems market report expounds an in-depth evaluation of this industry space, analyzed in terms of numerous parameters. The research study provides a detailed analysis of the Cognitive System & Artificial Intelligence (AI) Systems market segmentation, in addition to a generic overview of this market with respect to current scenario as well as the industry size, that is inherently dependent on the revenue and volume parameters.
Request a sample Report of Cognitive System & Artificial Intelligence (AI) Systems Market at: https://www.marketstudyreport.com/request-a-sample/2801600?utm_source=scientect.com&utm_medium=SK
The study is a succinct account of the pivotal information pertaining to the geographical scope of this industry as well as the firms that have successfully consolidated their positions in the Cognitive System & Artificial Intelligence (AI) Systems market.
How far is the expanse of the Cognitive System & Artificial Intelligence (AI) Systems market?
A basic outline of the competitive landscape
A detailed overview of the regional reach
A basic synopsis of the industry segmentation
A basic outline of the competitive landscape:
The Cognitive System & Artificial Intelligence (AI) Systems market research report is inclusive of a detailed evaluation of the competitive scope of this vertical.
The report presents an in-depth analysis of the competitive reach of this industry by segregating the same into firms like
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
IFlyTek
Megvii Technology
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro
.
The study mentions details pertaining to the market share that each player holds in the industry, in conjunction with the area served, production site, etc.
Data subject to the products manufactured by these players, product specifications, as well as the product applications have been detailed in the study.
A brief overview of the company, inclusive of information pertaining to the profit margins as well as the pricing techniques have been enlisted in the report.
A detailed overview of the regional reach:
The research report segments the regional landscape of this vertical with meticulous precision. As per the study, the regions United States, China, Europe, Japan, Southeast Asia & India are the ones where the Cognitive System & Artificial Intelligence (AI) Systems market has established its presence successfully.
The study boasts of information pertaining to the market share that each zone accounts for. Additionally, the study is inclusive of details about the growth prospects of the Cognitive System & Artificial Intelligence (AI) Systems market across every region specified.
The growth rate which each topography is anticipated to record in the forecast timeframe has been meticulously entailed in the research report.
Ask for Discount on Cognitive System & Artificial Intelligence (AI) Systems Market Report at: https://www.marketstudyreport.com/check-for-discount/2801600?utm_source=scientect.com&utm_medium=SK
A basic synopsis of the industry segmentation:
The Cognitive System & Artificial Intelligence (AI) Systems market report encompasses a highly precise segmentation of the industry in question.
The report splits the product landscape of the Cognitive System & Artificial Intelligence (AI) Systems market into types such as
On-Premise
Cloud-based
.
The application spectrum of the Cognitive System & Artificial Intelligence (AI) Systems market, on the other hand, has been split into
Voice Processing
Text Processing
Image Processing
.
Information related to the valuation that each type accounts for in the industry, in conjunction with the market share accrued by every product segment has been entailed in the report.
The details regarding the production growth has also been entailed.
With respect to the application spectrum, the report is inclusive of information pertaining to the market share which every application segment account for.
Also, the report encompasses details with respect to the product consumption of every application, in tandem with the growth rate that each application type is expected to register over the projected duration.
For More Details On this Report: https://www.marketstudyreport.com/reports/global-cognitive-system-artificial-intelligence-ai-systems-market-size-status-and-forecast-2020-2026
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Read More: https://www.marketstudyreport.com/reports/global-big-data-analytics-in-retail-market-size-status-and-forecast-2020-2026
Related Report : https://www.marketwatch.com/press-release/as-per-latest-report-lead-acid-market-will-progress-to-touch-usd-44020-million-at-41-cagr-by-2025-2020-09-07
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| Cognitive System & Artificial Intelligence (AI) Systems Market Analysis, Growth by Top Companies, Trends by Types and Application, Forecast to 2026 | Cognitive System Artificial Intelligence AI Systems Market Analysis, Growth Top Companies, Trends Types Application, Forecast 2026 Scientect Skip content Menu Energy News Space Uncategorized for: Scientect Menu Energy News Space Uncategorized for: Flash News Global Anal Fistula Treatment Market 2020 Impact COVID19, Future Growth Analysis Challenges Teva, Novartis, Pfizer, Johnson Johnson, Roche GLOBAL ENT DEVICES MARKET COMPREHENSIVE STUDY OLYMPUS CORPORATION, KARL STORZ GMBH CO. KG, STRYKER CORPORATION, SMITH NEPHEW PLC, HOYA CORPORATION, ACCLARENT, INC. Global Data Center Management Software Market 2020 Impact COVID19, Future Growth Analysis Challenges atadog, Microsoft, ConnectWise, Sunbird, ManageEngine Global Prostate Cancer Therapeutics Drugs Market 2020 Impact COVID19, Future Growth Analysis Challenges Johnson Johnson, Pfizer, , AstraZeneca, Amgen Global SaaS based Invoice Software Market 2020 Impact COVID19, Future Growth Analysis Challenges FreshBooks, QuickBooks, Xero, Stripe, Chargify EndoVenous Laser Therapy Market 2020 Analysis By Top Companies like AngioDynamics, ., Syneron Medical Ltd, Dornier Medtech GmbH, Alma Lasers Ltd. Global Telecom Millimeter Wave Technology Market 2020 Impact COVID19, Future Growth Analysis Challenges Aviat Networks, BridgeWave, DragonWave, EBand, ELVA1 Global Edge Analytics Software Market 2020 Impact COVID19, Future Growth Analysis Challenges Cisco Systems, ., Dell ., Equinix, . Global Cardiovascular Picture Archiving Communication Systems Market 2020 Impact COVID19, Future Growth Analysis Challenges Agfa HealthCare NV Belgium, Fujifilm Medical Systems USA, . US, GE Healthcare UK, Infinitt North America US HPV Associated Disorders Market Analysis 2020 Top companies Merck Co., ., GlaxoSmithKline plc, Cytovation AS, Biocon, Pfizer Monday, September 07, 2020 News Cognitive System Artificial Intelligence AI Systems Market Analysis, Growth Top Companies, Trends Types Application, Forecast 2026 sagar.g September 7, 2020 This research report Added Market Study Report, LLC, Cognitive System Artificial Intelligence AI Systems market provides concise details market regional spectrum, industry size, profit forecast. Besides that, report illustrates primary obstacles new expansion strategies implemented key players industry. The Cognitive System Artificial Intelligence AI Systems market report expounds indepth evaluation industry space, analyzed terms numerous parameters. The research study provides detailed analysis Cognitive System Artificial Intelligence AI Systems market segmentation, addition generic overview market respect current scenario industry size, inherently dependent revenue volume parameters. Request sample Report Cognitive System Artificial Intelligence AI Systems Market at: The study succinct account pivotal information pertaining geographical scope industry firms successfully consolidated positions Cognitive System Artificial Intelligence AI Systems market. How far expanse Cognitive System Artificial Intelligence AI Systems market? A basic outline competitive landscape A detailed overview regional reach A basic synopsis industry segmentation A basic outline competitive landscape: The Cognitive System Artificial Intelligence AI Systems market research report inclusive detailed evaluation competitive scope vertical. The report presents indepth analysis competitive reach industry segregating firms like Google Baidu IBM Microsoft SAP Intel Salesforce Brighterion KITT.AI IFlyTek Megvii Technology Albert Technologies H2O.ai Brainasoft Yseop Ipsoft NanoRepLogMeIn Ada Support Astute Solutions Wipro . The study mentions details pertaining market share player holds industry, conjunction area served, production site, etc. Data subject products manufactured players, product specifications, product applications detailed study. A brief overview company, inclusive information pertaining profit margins pricing techniques enlisted report. A detailed overview regional reach: The research report segments regional landscape vertical meticulous precision. As study, regions United States, China, Europe, Japan, Southeast Asia India ones Cognitive System Artificial Intelligence AI Systems market established presence successfully. The study boasts information pertaining market share zone accounts for. Additionally, study inclusive details growth prospects Cognitive System Artificial Intelligence AI Systems market region specified. The growth rate topography anticipated record forecast timeframe meticulously entailed research report. Ask Discount Cognitive System Artificial Intelligence AI Systems Market Report at: A basic synopsis industry segmentation: The Cognitive System Artificial Intelligence AI Systems market report encompasses highly precise segmentation industry question. The report splits product landscape Cognitive System Artificial Intelligence AI Systems market types OnPremise Cloudbased . The application spectrum Cognitive System Artificial Intelligence AI Systems market, hand, split Voice Processing Text Processing Image Processing . Information related valuation type accounts industry, conjunction market share accrued product segment entailed report. The details production growth entailed. With respect application spectrum, report inclusive information pertaining market share application segment account for. Also, report encompasses details respect product consumption application, tandem growth rate application type expected register projected duration. For More Details On Report: Related Reports: 1. Global Big Data Analytics Manufacturing Market Size, Status Forecast 20202026 Read More: 2. Global Big Data Analytics Retail Market Size, Status Forecast 20202026 Read More: Related Report : Us: Corporate Sales, Market Study Report LLC Phone: 13022730910 Toll Free: 18667642150 Email: [emailprotected] Cognitive System Artificial Intelligence AI Systems MarketCognitive System Artificial Intelligence AI Systems Market ForecastCognitive System Artificial Intelligence AI Systems Market Growth TrendCognitive System Artificial Intelligence AI Systems Market ShareCognitive System Artificial Intelligence AI Systems Market Size AnalysisCognitive System Artificial Intelligence AI Systems Market Statistics Post navigation 20202026 Magneto Resistive RAM MRAM Market Is Booming Worldwide Global Industry Size, Growth, Segments, Revenue, Manufacturers Everspin Technologies ., NVE Corporation, Honeywell International ., Avalanche Technology .2020 Current trends Mozzarella Cheese Market Share, Growth, Demand, Trends, Region Wise Analysis Top Players Forecasts ARLA Foods, INC., FROMAGERIES BEL S.A., Trevisanalat Leave Reply Cancel replyYour email address published. 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Mastercard orporated Visa . Skrill Limited Worldpay Level Up MTN Group Limited Bharti Airtel Limited Safaricom Limited Econet Wireless Paypal Holdings . Mahindra Comvivaphilippe coutinho Healthcare Cyber Security Market Analysis Highlights Impact COVID19 20202028 Premiumization Through Product Innovation Boost Market GrowthRower Machine Market 2027 DKN Technology Sunny Health Fitness NordicTrack LifeCORE Fitness Stamina Products KETTLER; Post Pandemic Opportunities Scientect Try Fact Growth Opportunities: Rower Machine Market 2027 DKN Technology Sunny Health Fitness NordicTrack LifeCORE Fitness Stamina Products KETTLER; Post Pandemic OpportunitiesMen Skin Care Market 2027 Coty INOHERB KAO PG Henkel Chanel Jialan; Post Pandemic Opportunities Scientect RIGHTLIVING HEALTH BLOG Market Scope: Men Skin Care Market 2027 Coty INOHERB KAO PG Henkel Chanel Jialan; Post Pandemic Opportunities Latest Change: IoT Connectivity Solutions Market 2027 Sigfox Orange Ericsson Hologram ATT EMnify Sierra Wireless; Post Pandemic OpportunitiesArchives September 2020 August 2020 July 2020 Categories Energy News Space Uncategorized Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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https://news.yahoo.com/machine-learning-user-entity-behaviour-085800119.html | 2020-11-23T00:00:00 | en | Machine Learning User and Entity Behaviour Analytics Report 2020 | Machine Learning User and Entity Behaviour Analytics Report 2020 HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Download the Yahoo News app Yahoo NewsSearch query Sign in Mail Sign in to view your mail News News 2020 Election 2020 Election Coronavirus Coronavirus US US World World Health Health Science Science Originals Originals The 360The 360 SkullduggerySkullduggery Baby BrainBaby Brain California WildfiresCalifornia Wildfires ConspiracylandConspiracyland 2020 Vision Column2020 Vision Column 2020 Candidate Tracker2020 Candidate Tracker The Ideas ElectionThe Ideas Election Presidential Leadership SeriesPresidential Leadership Series Through Her EyesThrough Her Eyes Politics Politics Contact Us Contact Us Videos Videos MoreMore
GlobeNewswireMachine Learning User and Entity Behaviour Analytics Report 2020Read full articleResearch and MarketsNovember 23, 2020, 3:58 AM·3 min readDublin, Nov. 23, 2020 (GLOBE NEWSWIRE) -- The "User and Entity Behaviour Analytics Based on Machine Learning 2020" report has been added to ResearchAndMarkets.com's offering. This report reveals the market positioning of companies in an industry using their Growth and Innovation scores as highlighted in the methodology. The document presents competitive profiles on each of the companies based on their strengths, opportunities, and a small discussion on their positioning.As intrusions employ a wide variety of attack vectors and methods, companies have to seriously consider continuous security monitoring, which provides real-time visibility of users and their devices when they attempt to connect to or work on an enterprise network. Security monitoring gives companies the ability to constantly look over their network and remain a step ahead of cyber threats. Different types of user access should be monitored, examined, and reported to prevent unauthorized use of user credentials, malicious access attempts, simultaneous logins, and activity from multiple geographic locations.Threats that come from within the organization are the most difficult to detect and the most risky. It is crucial for companies to have security tools that analyse the behaviour of users who are connected to the organisation's network, and entities or endpoints such as servers and applications, to detect anomalies and correlate the threats with users.Security information and event management (SIEM) tools come into play to cover the detection and collocation puzzle, but they typically lack effective and intelligent threat detection and response. SIEM tools can be bypassed by advanced attackers with relative ease, and focus more on real-time threats than extended attacks.User and entity behaviour analytics (UEBA) is a vital component of any SIEM system. UEBA tools work with SIEM solutions to provide insights into behavioural patterns within the network. By combining both solutions, companies gain the benefits of threat detection techniques that examine both human and machine behaviour. UEBA tools automate the detection of these attacks with analytics-driven visibility. Artificial intelligence techniques, including supervised and unsupervised machine learning, are applied to data from network security infrastructure. Further, a threat hunting capability improves the speed of threat response and reduces investigation time.Story continuesKey Topics Covered: Strategic Imperative and Growth EnvironmentStrategic ImperativeGrowth EnvironmentRadar ReportUEBA Based on Machine LearningCompetitive EnvironmentCompanies to ActionDarktraceExabeamIBMLinkShadowLogRhythmMicro FocusMicrosoftSplunkVectra AIStrategic InsightsNext Steps: Leveraging the Report to Empower Key StakeholdersSignificance of Being in the ReportEmpowers the CEO's Growth TeamEmpowers InvestorsEmpowers CustomersEmpowers the Board of DirectorsAnalyticsBenchmarking Future Growth PotentialFor more information about this report visit https://www.researchandmarkets.com/r/hd8oc3Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager [email protected] For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900TRENDING 1. Chris Christie calls Trump legal team a 'national embarrassment' 2. Wisconsin officials: Trump observers obstructing recount 3. Man arrested in deadly attack at Nebraska Sonic restaurant 4. 52 Years Later, IBM Apologizes for Firing Transgender Woman 5. Trump election challenges sound alarm among voters of color
Latest StoriesThe IndependentIowa congressman notorious for racist remarks asks Kamala Harris if she was descended from slave ownersOutgoing Republican Steve King has long history of offensive remarks12h agoThe WeekReporter Carl Bernstein names 21 GOP senators who 'repeatedly expressed extreme contempt for Trump'Political reporters in Washington, D.C., have been saying a lot of Republicans in Congress privately despise President Trump, but few have publicly criticized him — and likewise, few have publicly acknowledged his defeat to President-elect Joe Biden. Carl Bernstein, one half of the journalistic duo that uncovered President Richard Nixon's Watergate scandal, named 21 names on Sunday night, saying that in private conversations, these Republicans senators "have repeatedly expressed extreme contempt for Trump" and his fitness to be president.> The 21 GOP Senators who have privately expressed their disdain for Trump are: Portman, Alexander, Sasse, Blunt, Collins, Murkowski, Cornyn, Thune, Romney, Braun, Young, Tim Scott, Rick Scott, Rubio, Grassley, Burr, Toomey, McSally, Moran, Roberts, Shelby. (2/3)> > — Carl Bernstein (@carlbernstein) November 23, 2020The 21 senators he named include names you would expect, but also some surprises, like Sen. John Cornyn (Texas), Sen. Rick Scott (Fla.), and Senate Majority Whip John Thune (S.D.). The other 18 GOP senators are Rob Portman (Ohio), Lamar Alexander (Tenn.), Ben Sasse (Neb.), Roy Blunt (Mo.), Susan Collins (Maine), Lisa Murkowski (Alaska), Mitt Romney (Utah), Mike Braun (Ind), Todd Young (Ind.), Tim Scott (S.D.), Marco Rubio (Fla.), Chuck Grassley (Iowa), Richard Burr (N.C.), Pat Toomey (Pa.), Martha McSally (Ariz.), Jerry Moran (Kansas), Pat Roberts (Kansas), and Richard Shelby (Ala.)."With few exceptions" — Romney and Sasse, mostly — "their craven public silence has helped enable Trump's most grievous conduct — including undermining and discrediting the U.S. the electoral system," wrote Bernstein, who's made his own feelings about Trump clear for a while. He had named 15 of those senators on CNN late last week, saying "many, of not most, of these individuals, from what I have been told, were happy to see Donald Trump defeated in this election, as long as the Senate could be controlled by the Republicans.Bernstein added that he is "much more concerned" now than at the end of Watergate, because "Nixon left — Republicans convinced him to go, and he did."More stories from theweek.com 5 bruisingly funny cartoons about Rudy Giuliani's dubious legal strategy America is buckling Lawyer Sidney Powell was evidently 'too conspiratorial' and 'too crazy even for the president'5h agoReutersHong Kong activist Joshua Wong detained for 2019 illegal assemblyHong Kong pro-democracy activist Joshua Wong was remanded in custody on Monday after pleading guilty to charges of organising and inciting an unauthorised assembly near the police headquarters during last year's anti-government protests. Wong, who was just 17 years old when he became the face of the 2014 student-led Umbrella Movement democracy protests, faces a maximum three-year jail term. On Twitter afterwards, Wong said attention should be directed to the 12 Hong Kong people detained virtually incommunicado in China after being arrested at sea in August as they were attempting to flee by boat to Taiwan to escape charges related to last year's protests in the city.7h agoThe TelegraphConvicted spy Jonathan Pollard released from parole and due to move to IsraelJonathan Pollard, the former US Navy officer convicted of spying for Israel, has finished his parole and is expected to move to the Jewish state in the near future. Mr Pollard was one of the most prolific spies in US history and had shared thousands of classified documents with Israel during the Cold War. The US Justice Department’s parole commission decided on Friday to allow a travel ban on Mr Pollard to expire after he served 30 years in prison. According to the New York Times, he is the only American to ever be sentenced with life imprisonment for spying on behalf of an ally. The espionage affair strained US-Israel relations for decades. The decision to lift his travel restrictions is being seen as a parting gift to the Israelis from the Trump administration, which has heavily favoured Israel during its term. Benjamin Netanyahu, the Israeli prime minister, has long pushed for the release of Mr Pollard and after granting him Israeli citizenship in 1995, and has tried to bring him to Israel as part of diplomatic negotiations. “The prime minister expects to see Jonathan Pollard in Israel soon, and together with all Israelis, extends his best wishes to him and his wife Esther,” Mr Netanyahu’s office said in a statement on Saturday night. Mr Pollard was a young civilian intelligence analyst for the US Navy and sold military secrets to the Israelis in exchange for thousands of dollars a month while he was working at the Pentagon in the 1980s. A year and a half into his espionage he was arrested by FBI agents in 1985 while trying to claim asylum at the Israeli embassy in Washington. The 66-year-old convicted spy was released from federal prison in 2015 after serving 30 years and placed on parole. A five-year travel ban was placed on him as well as parole conditions including a curfew, restrictions on what jobs he could take and a location tag. "We are grateful and delighted that our client is finally free of any restrictions, and is now a free man in all respects," Mr Pollard’s lawyers said. "We look forward to seeing our client in Israel." His lawyer, Eliot Lauer, told Channel 12 TV that Pollard was “ecstatic” and determined to move to Israel but that it would take some time because Pollard’s wife is undergoing medical treatment for cancer.21h agoBusiness InsiderRepublican Sen. Kelly Loeffler, a candidate in the Georgia runoff, tested positive for COVID-19 and is quarantiningLoeffler is currently campaigning in a high-stakes race that could determine control of the Senate at the start of President-elect Joe Biden's term.1d agoThe WeekBiden has reportedly chosen his UN ambassador, national security adviserPresident-elect Joe Biden is expected to announce Linda Thomas-Greenfield as his nominee for ambassador to the United Nations and Jake Sullivan as his national security adviser, several people familiar with the matter told The Washington Post. Thomas-Greenfield spent 35 years in the Foreign Service, retiring in 2017. She served as assistant secretary of state for African affairs and was ambassador to Liberia during the Obama administration. She is now a senior counselor with the Albright Stonebridge advisory firm.Sullivan was one of Biden's national security advisers during his time as vice president and was also a deputy chief of staff to Hillary Clinton when she was secretary of state. Antony Blinken, Biden's reported pick to be his secretary of state nominee, also served as one of Biden's national security advisers while vice president.More stories from theweek.com Reporter Carl Bernstein names 21 GOP senators who 'repeatedly expressed extreme contempt for Trump' 5 bruisingly funny cartoons about Rudy Giuliani's dubious legal strategy America is buckling5h agoAssociated PressMan arrested in deadly attack at Nebraska Sonic restaurantAuthorities arrested a 23-year-old man in an attack at a Nebraska fast food restaurant in which two employees were shot and killed, two were wounded and officers responding to a report of a possible bomb inside a moving truck in the parking lot arrived to find the vehicle on fire. Roberto Carlos Silva Jr., of Omaha, was booked into Sarpy County jail early Sunday on suspicion of first-degree murder and first-degree arson in Saturday night's attack at a Sonic Drive-in restaurant in Bellevue, the Omaha World-Herald reported. In a news release early Sunday, Lt. Andy Jashinske said Bellevue police received a call at 9:23 p.m. Saturday about a possible bomb in a U-Haul truck parked outside of the restaurant in the Omaha suburb.22h agoThe TelegraphTrump campaign demands second Georgia recount after judge's dismissal of Pennsylvania challengeUndaunted by a Pennsylvania judge's withering dismissal of a plea to discount millions of mail-in votes, the Trump campaign turned its attention to another battleground state and demanded a second recount in Georgia. The move was the latest shot in a salvo of legal cases with Donald Trump still showing no sign of accepting that he lost the election. On Monday Michigan's four-member Elections board is due to meet to ratify their results, with one of the two Republicans indicating he could vote against doing so. The demand for a Georgia recount came hours after Judge Matthew Brann described the challenge to the Pennsylvania result as without merit. Alleging irregularities in the way ballots were treated across the state, the Trump campaign had asked the court to prevent millions of mail-in ballots being counted.15h agoINSIDERAOC calls out Kyle Rittenhouse's $2 million bail release as 'protection of white supremacy'"Does anyone believe Rittenhouse would be released if he were Muslim," AOC wrote on Twitter.13h agoAFPWong, Chow and Lam: Three young Hong Kong activists facing jailThree prominent Hong Kong activists are facing jail after pleading guilty on Monday to inciting an "illegal assembly" outside the city's main police station during last year's huge pro-democracy protests.2h agoYahoo News VideoWhat's with all the election audits?Seeking to cast doubt on the results of the presidential election, President Trump and his allies have zeroed in on a common process: postelection audits.2d agoReutersIran vows to crush any Israeli attempt to hit its 'advisory' role in SyriaIran on Sunday vowed to defeat any Israeli attempt to harm its role in Syria, saying the era of "hit and run" attacks by Israel there was over, days after Israel carried out air strikes on Syrian army and Iranian paramilitary targets in the country. Israel, which views Tehran as its biggest security threat, has repeatedly attacked Iranian targets and those of allied militia in Syria, where Tehran has backed President Bashar al-Assad and his forces against rebels and militants since 2012. On Wednesday, an Israeli military spokesman said eight targets were attacked, including an Iranian headquarters at Damascus international airport and a "secret military site" that served as a "hosting facility for senior Iranian delegations when they come to Syria to operate".22h agoAssociated Press5 killed in police chase after mass prison break in LebanonNearly 70 inmates broke out of a prison in Lebanon Saturday after smashing their cell doors and attacking prison guards, police said. According to a police statement, five of the escaped inmates died when a car they stole while fleeing crashed into a tree during an ensuing police chase. An investigation into the incident is underway, according to the police statement.2d agoThe WeekBiden's challenges abroadPresident Trump pulled the U.S. back from global leadership. Can Joe Biden restore it? Here's everything you need to know:What is Biden facing? Trump's "America First" foreign policy was a radical departure from the multilateral approach of the Obama administration, and it has transformed the international landscape. The U.S. pulled out of the Paris climate accord, the Trans-Pacific Partnership trade pact, the World Health Organization, and the U.N. human rights commission, and it unilaterally withdrew from the multiparty Iran nuclear deal and the Intermediate-Range Nuclear Forces treaty with Russia. After four years of being berated by Trump, European allies no longer feel they can depend on the U.S. or its commitment to NATO — although they have, at Trump's insistence, begun to spend more on defense. The U.S.-China relationship is at its most tense in decades. Both North Korea and Iran are further along in their nuclear programs than they were when Trump took office, with a jubilant Kim Jong Un recently showing off a new ICBM that can reach every city in the U.S.What will he take on first? Biden, who has decades of foreign policy experience as vice president and as chairman of the Senate Committee on Foreign Relations, wants to reassert American leadership on the biggest crises facing the globe. Most pressing is the coronavirus pandemic. The U.S. will rejoin the World Health Organization and seek to coordinate an international plan to distribute vaccines. Climate change is the other major challenge. Once back in the Paris climate accord, Biden wants to lead global efforts to reduce greenhouse gas emissions with a $2 trillion clean energy and infrastructure plan. In his very first week in office, Biden plans to save the last remaining nuclear arms control treaty, New START, which expires in February. While Trump wanted to alter the pact, Russian President Vladimir Putin is willing to extend it without changes for five years; Biden will likely agree. But Biden will resume robust support for Ukraine, which is still battling Russia, and it's possible he'll further sanction Moscow for its attempts to interfere in U.S. elections.What about U.S. allies? Repairing damaged U.S. alliances is central to Biden's plans — but many allies are wary. Some Europeans, such as French President Emmanuel Macron, say that America's retreat from international leadership began not with Trump, but under the Obama administration, when the U.S. failed to act against Syria's use of chemical weapons. Even if Biden is wholeheartedly committed to the defense of traditional allies, they are keenly aware the American people could well vote for another isolationist in four years. Europeans can "no longer take for granted that they can trust the U.S., even on basic things," says former Norwegian premier Gro Harlem Brundtland. Europe itself has changed: Brexit means that the U.K., our closest ally, no longer has a voice in the EU, and London is desperate for a favorable trade deal with the U.S. that it may not get.What about the Middle East? Like Trump, Biden sees Asia, not the Middle East, as America's foremost strategic challenge, so Biden is unlikely to recommit troops to Syria, Afghanistan, and Iraq. Still, there will be many changes. The Trump administration has sold Saudi Arabia and the United Arab Emirates billions of dollars' worth of weapons, but the Biden administration is likely to cut off supplies for the Saudi-led war in Yemen, which has killed thousands of civilians, and punish the Saudis for human rights abuses such as the murder of journalist and U.S. resident Jamal Khashoggi. The Israeli relationship will also change. Biden has always been a staunch supporter of Israel, but he doesn't see Prime Minister Benjamin Netanyahu's hard-line policies as beneficial for Israeli or U.S. interests. He will keep the U.S. Embassy in Jerusalem, but will oppose continued Israeli settlement building in Palestinian territories and restore U.S. aid to the Palestinians.What about nuclear proliferation? Biden wants to rejoin the 2015 Iran nuclear pact, but Tehran has increased its stock of low-enriched uranium over the past four years and would have to agree to give up the progress it has made toward a nuclear weapon. Further attempts to negotiate with North Korea are unlikely; Biden's plan there is to re-engage with South Korea, abandoning Trump's demand for $5 billion to house U.S. troops. But to rein in Pyongyang, he must get the cooperation of its biggest backer, China.How will he do that? Like Trump, Biden wants to prevent China from establishing military hegemony in the strategic South China Sea and halt Chinese stealing of U.S. intellectual property. But Trump's approach, a trade war, hurt the U.S. economy without denting Chinese resolve. Biden is expected to halt the tariff war and instead focus on working with Beijing — along with regional allies Japan, South Korea, and Australia — on areas of common interest. But he also says he will hold Beijing accountable for its atrocious human rights abuses in Xinjiang and its reversal of democratic freedoms in Hong Kong. Balancing those competing interests will be extremely difficult. "History cannot be erased," said French diplomat Jean-Marie Guehenno, a former U.N. undersecretary-general. "The kind of soft power that the United States has enjoyed in the past has largely evaporated."'Forever wars' in Afghanistan and Iraq "It's long past time we end the forever wars," Biden said in his foreign policy address during the campaign. "We should bring the vast majority of our troops home from the wars in Afghanistan and the Middle East and narrowly define our mission as defeating al Qaida and the Islamic State." But both Iraqis and Afghans are worried about the aftermath of troop withdrawals. After the Obama administration drawdown in Iraq, Iran asserted more influence there and the Islamic State overran large parts of the country. "We do not want Obama's policies to return to our country again," said Iraqi lawmaker Dhafer al-Ani. In Afghanistan, a Biden administration is likely to continue Trump's planned withdrawals but make them contingent on the Taliban keeping their promises to stop attacks on Afghan forces — which so far they have not done. True peace is likely to continue to be elusive.This article was first published in the latest issue of The Week magazine. If you want to read more like it, you can try six risk-free issues of the magazine here.More stories from theweek.com Reporter Carl Bernstein names 21 GOP senators who 'repeatedly expressed extreme contempt for Trump' 5 bruisingly funny cartoons about Rudy Giuliani's dubious legal strategy America is buckling22h agoThe TelegraphThousands attack Brazil supermarket amid violent protests after black man beaten to death by security guardMore than 1,000 demonstrators attacked a Carrefour Brasil supermarket in the southern Brazilian city of Porto Alegre on Friday after security guards beat to death a Black man at the store. The killing, which has sparked protests across Brazil, occurred late on Thursday when a store employee called security after the man threatened to attack her, cable news channel GloboNews said, citing the Rio Grande do Sul state military police. Amateur footage of the fatal beating and tributes to the Black victim were published on social media. He was identified in local media by his father as 40-year-old Joao Alberto Silveira Freitas. News website G1 later reported that an initial analysis by the state forensics institute indicated the cause of death could be asphyxiation. In a statement on Friday, the local unit of France's Carrefour SA said it deeply regretted what it called a brutal death and said it immediately took steps to ensure those responsible were legally punished. It said it would terminate the contract with the security firm, fire the employee in charge of the store at the time of the incident, and close the store as a mark of respect.2d agoAFPThe women who served as a deadly duo for the TalibanFemale assassins who lured an Afghan security official to his death with promises of sex before shooting him and dumping his body at a cemetery are among thousands of Taliban criminals freed as part of a fragile peace plan.1d agoThe TelegraphCalls for Britain to give asylum to Pakistani Christian girl forced to marry Muslim man who abducted and gang-raped herBoris Johnson has been urged to grant asylum to a Pakistani Christian girl who was forced to marry a Muslim man accused of abducting and raping her at gunpoint. The family of the 14-year-old girl claims that she was kidnapped by Mohamad Nakash last year, who used blackmail and threats of violence to make her sign false papers consenting to marriage. In August, a judge's order that she be taken to a women's refuge was overturned by a higher court, which ruled the marriage was legal and returned her to Mr Nakash’s home. The girl then escaped and is now in hiding. But her lawyer claims that associates of Mr Nakash, who turned up en masse at the court hearings, have been trying to hunt her down. The British charity Aid to Church in Need, which campaigns on behalf of persecuted Christians worldwide, has now launched a petition asking the government to grant the girl asylum. “This shocking case is a chance for Britain to show its commitment to Christian welfare who so often feel abandoned by the West, ” said spokesman John Pontifex. The case has echoes of that of Asia Bibi, a Pakistani Christian woman who spent ten years on death row in Pakistan on trumped-up blasphemy charges.2d agoAssociated PressTrump aims to box in Biden abroad, but it may not workOn its way out the door, the Trump administration is enacting new rules, regulations and orders that it hopes will box in President-elect Joe Biden's administration on numerous foreign policy matters and cement President Donald Trump’s “America First” legacy in international affairs. In recent weeks, the White House, State Department and other agencies have been working overtime to produce new policy pronouncements on Iran, Israel, China and elsewhere that aim to lock in Trump's vision for the world.5h agoThe WeekWhite House vaccine czar expects kids will receive coronavirus vaccine by middle of 2021There's a growing likelihood that the first round of Pfizer's coronavirus vaccine will be rolled out in just a few weeks. If and when that happens, only high priority groups, like health care workers, are expected to have access. Theoretically, the pool will grow over time, but children will probably have to wait a while. That's partly because younger people, though far from invulnerable to COVID-19, are less susceptible to severe cases, but it also has to do with the fact that the youngest people to receive Pfizer's candidate in trials were between 12 and 14 years old, Dr. Moncef Slaoui, the White House vaccine czar, told CNN's Jake Tapper on Sunday.As things stand, there's no data about the vaccine's efficacy or safety for younger children, but Slaoui says the plan is to run trials at an expedited pace over the coming months, first with younger adolescents, then toddlers, and, finally, infants. If that goes well, Slaoui, expects most kids will be able to get vaccinated by the middle of next year, though infants may not be approved until the end of 2021. > Dr. Moncef Slaoui, the White House vaccine czar, tells @jaketapper that he expects children will be able to receive a coronavirus vaccine some time in the middle of next year. "We need to run those clinical trials on an expedited basis." CNNSOTU pic.twitter.com/WlOUxKA3RN> > -- State of the Union (@CNNSotu) November 22, 2020More stories from theweek.com Reporter Carl Bernstein names 21 GOP senators who 'repeatedly expressed extreme contempt for Trump' 5 bruisingly funny cartoons about Rudy Giuliani's dubious legal strategy America is buckling14h agoBusiness InsiderA bipartisan group of Georgia teens is trying to flip the Senate by enlisting thousands of students to vote in the January runoffsThe group hopes to register the 23,000 Georgia teens who could not vote in the general election but turn 18 in time to vote in the Senate runoffs.2d agoMore Stories
| Machine Learning User and Entity Behaviour Analytics Report 2020 | Machine Learning User Entity Behaviour Analytics Report 2020 HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Download Yahoo News app Yahoo News query Sign Mail Sign view mail News News 2020 Election 2020 Election Coronavirus Coronavirus US US World World Health Health Science Science Originals Originals The 360The 360 SkullduggerySkullduggery Baby BrainBaby Brain California WildfiresCalifornia Wildfires ConspiracylandConspiracyland 2020 Vision Column2020 Vision Column 2020 Candidate Tracker2020 Candidate Tracker The Ideas ElectionThe Ideas Election Presidential Leadership SeriesPresidential Leadership Series Through Her EyesThrough Her Eyes Politics Politics Us Us Videos Videos MoreMore GlobeNewswireMachine Learning User Entity Behaviour Analytics Report 2020Read articleResearch MarketsNovember 23, 2020, 3:58 AM3 min readDublin, Nov. 23, 2020 GLOBE NEWSWIRE The User Entity Behaviour Analytics Based Machine Learning 2020 report added offering. This report reveals market positioning companies industry Growth Innovation scores highlighted methodology. The document presents competitive profiles companies based strengths, opportunities, small discussion positioning.As intrusions employ wide variety attack vectors methods, companies seriously consider continuous security monitoring, provides realtime visibility users devices attempt connect work enterprise network. Security monitoring gives companies ability constantly look network remain step ahead cyber threats. Different types user access monitored, examined, reported prevent unauthorized use user credentials, malicious access attempts, simultaneous logins, activity multiple geographic locations.Threats come organization difficult detect risky. It crucial companies security tools analyse behaviour users connected organisations network, entities endpoints servers applications, detect anomalies correlate threats users.Security information event management SIEM tools come play cover detection collocation puzzle, typically lack effective intelligent threat detection response. SIEM tools bypassed advanced attackers relative ease, focus realtime threats extended attacks.User entity behaviour analytics UEBA vital component SIEM system. UEBA tools work SIEM solutions provide insights behavioural patterns network. By combining solutions, companies gain benefits threat detection techniques examine human machine behaviour. UEBA tools automate detection attacks analyticsdriven visibility. Artificial intelligence techniques, including supervised unsupervised machine learning, applied data network security infrastructure. Further, threat hunting capability improves speed threat response reduces investigation time.Story continuesKey Topics Covered: Strategic Imperative Growth EnvironmentStrategic ImperativeGrowth EnvironmentRadar ReportUEBA Based Machine LearningCompetitive EnvironmentCompanies ActionDarktraceExabeamIBMLinkShadowLogRhythmMicro FocusMicrosoftSplunkVectra AIStrategic InsightsNext Steps: Leveraging Report Empower Key StakeholdersSignificance Being ReportEmpowers CEOs Growth TeamEmpowers InvestorsEmpowers CustomersEmpowers Board DirectorsAnalyticsBenchmarking Future Growth PotentialFor information report visit Markets offers Custom Research services providing focused, comprehensive tailored research.CONTACT: CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900TRENDING 1. Chris Christie calls Trump legal team national embarrassment 2. Wisconsin officials: Trump observers obstructing recount 3. Man arrested deadly attack Nebraska Sonic restaurant 4. 52 Years Later, IBM Apologizes Firing Transgender Woman 5. Trump election challenges sound alarm voters color Latest StoriesThe IndependentIowa congressman notorious racist remarks asks Kamala Harris descended slave ownersOutgoing Republican Steve King long history offensive remarks12h agoThe WeekReporter Carl Bernstein names 21 GOP senators repeatedly expressed extreme contempt TrumpPolitical reporters Washington, D.C., saying lot Republicans Congress privately despise President Trump, publicly criticized likewise, publicly acknowledged defeat Presidentelect Joe Biden. Carl Bernstein, half journalistic duo uncovered President Richard Nixons Watergate scandal, named 21 names Sunday night, saying private conversations, Republicans senators repeatedly expressed extreme contempt Trump fitness president.> The 21 GOP Senators privately expressed disdain Trump are: Portman, Alexander, Sasse, Blunt, Collins, Murkowski, Cornyn, Thune, Romney, Braun, Young, Tim Scott, Rick Scott, Rubio, Grassley, Burr, Toomey, McSally, Moran, Roberts, Shelby. 23> > Carl Bernstein November 23, 2020The 21 senators named include names expect, surprises, like Sen. John Cornyn Texas, Sen. Rick Scott Fla., Senate Majority Whip John Thune S.D.. The 18 GOP senators Rob Portman Ohio, Lamar Alexander Tenn., Ben Sasse Neb., Roy Blunt Mo., Susan Collins Maine, Lisa Murkowski Alaska, Mitt Romney Utah, Mike Braun Ind, Todd Young Ind., Tim Scott S.D., Marco Rubio Fla., Chuck Grassley Iowa, Richard Burr N.C., Pat Toomey Pa., Martha McSally Ariz., Jerry Moran Kansas, Pat Roberts Kansas, Richard Shelby Ala..With exceptions Romney Sasse, craven public silence helped enable Trumps grievous conduct including undermining discrediting U.S. electoral system, wrote Bernstein, whos feelings Trump clear while. He named 15 senators CNN late week, saying many, most, individuals, I told, happy Donald Trump defeated election, long Senate controlled Republicans.Bernstein added concerned end Watergate, Nixon left Republicans convinced go, did.More stories 5 bruisingly funny cartoons Rudy Giulianis dubious legal strategy America buckling Lawyer Sidney Powell evidently conspiratorial crazy president5h agoReutersHong Kong activist Joshua Wong detained 2019 illegal assemblyHong Kong prodemocracy activist Joshua Wong remanded custody Monday pleading guilty charges organising inciting unauthorised assembly near police headquarters years antigovernment protests. Wong, 17 years old face 2014 studentled Umbrella Movement democracy protests, faces maximum threeyear jail term. On Twitter afterwards, Wong said attention directed 12 Hong Kong people detained virtually incommunicado China arrested sea August attempting flee boat Taiwan escape charges related years protests city.7h agoThe TelegraphConvicted spy Jonathan Pollard released parole IsraelJonathan Pollard, US Navy officer convicted spying Israel, finished parole expected Jewish state near future. Mr Pollard prolific spies US history shared thousands classified documents Israel Cold War. The US Justice Departments parole commission decided Friday allow travel ban Mr Pollard expire served 30 years prison. According New York Times, American sentenced life imprisonment spying behalf ally. The espionage affair strained USIsrael relations decades. The decision lift travel restrictions seen parting gift Israelis Trump administration, heavily favoured Israel term. Benjamin Netanyahu, Israeli prime minister, long pushed release Mr Pollard granting Israeli citizenship 1995, tried bring Israel diplomatic negotiations. The prime minister expects Jonathan Pollard Israel soon, Israelis, extends best wishes wife Esther, Mr Netanyahus office said statement Saturday night. Mr Pollard young civilian intelligence analyst US Navy sold military secrets Israelis exchange thousands dollars month working Pentagon 1980s. A year half espionage arrested FBI agents 1985 trying claim asylum Israeli embassy Washington. The 66yearold convicted spy released federal prison 2015 serving 30 years placed parole. A fiveyear travel ban placed parole conditions including curfew, restrictions jobs location tag. We grateful delighted client finally free restrictions, free man respects, Mr Pollards lawyers said. We look forward seeing client Israel. His lawyer, Eliot Lauer, told Channel 12 TV Pollard ecstatic determined Israel time Pollards wife undergoing medical treatment cancer.21h agoBusiness InsiderRepublican Sen. Kelly Loeffler, candidate Georgia runoff, tested positive COVID19 quarantiningLoeffler currently campaigning highstakes race determine control Senate start Presidentelect Joe Bidens term.1d agoThe WeekBiden reportedly chosen UN ambassador, national security adviserPresidentelect Joe Biden expected announce Linda ThomasGreenfield nominee ambassador United Nations Jake Sullivan national security adviser, people familiar matter told The Washington Post. ThomasGreenfield spent 35 years Foreign Service, retiring 2017. She served assistant secretary state African affairs ambassador Liberia Obama administration. She senior counselor Albright Stonebridge advisory firm.Sullivan Bidens national security advisers time vice president deputy chief staff Hillary Clinton secretary state. Antony Blinken, Bidens reported pick secretary state nominee, served Bidens national security advisers vice president.More stories Reporter Carl Bernstein names 21 GOP senators repeatedly expressed extreme contempt Trump 5 bruisingly funny cartoons Rudy Giulianis dubious legal strategy America buckling5h agoAssociated PressMan arrested deadly attack Nebraska Sonic restaurantAuthorities arrested 23yearold man attack Nebraska fast food restaurant employees shot killed, wounded officers responding report possible bomb inside moving truck parking lot arrived vehicle fire. Roberto Carlos Silva Jr., Omaha, booked Sarpy County jail early Sunday suspicion firstdegree murder firstdegree arson Saturday nights attack Sonic Drivein restaurant Bellevue, Omaha WorldHerald reported. In news release early Sunday, Lt. Andy Jashinske said Bellevue police received 9:23 p.m. Saturday possible bomb UHaul truck parked outside restaurant Omaha suburb.22h agoThe TelegraphTrump campaign demands second Georgia recount judges dismissal Pennsylvania challengeUndaunted Pennsylvania judges withering dismissal plea discount millions mailin votes, Trump campaign turned attention battleground state demanded second recount Georgia. The latest shot salvo legal cases Donald Trump showing sign accepting lost election. On Monday Michigans fourmember Elections board meet ratify results, Republicans indicating vote so. The demand Georgia recount came hours Judge Matthew Brann described challenge Pennsylvania result merit. Alleging irregularities way ballots treated state, Trump campaign asked court prevent millions mailin ballots counted.15h agoINSIDERAOC calls Kyle Rittenhouses 2 million bail release protection white supremacyDoes believe Rittenhouse released Muslim, AOC wrote Twitter.13h agoAFPWong, Chow Lam: Three young Hong Kong activists facing jailThree prominent Hong Kong activists facing jail pleading guilty Monday inciting illegal assembly outside citys main police station years huge prodemocracy protests.2h agoYahoo News VideoWhats election audits?Seeking cast doubt results presidential election, President Trump allies zeroed common process: postelection audits.2d agoReutersIran vows crush Israeli attempt hit advisory role SyriaIran Sunday vowed defeat Israeli attempt harm role Syria, saying era hit run attacks Israel over, days Israel carried air strikes Syrian army Iranian paramilitary targets country. Israel, views Tehran biggest security threat, repeatedly attacked Iranian targets allied militia Syria, Tehran backed President Bashar alAssad forces rebels militants 2012. On Wednesday, Israeli military spokesman said targets attacked, including Iranian headquarters Damascus international airport secret military site served hosting facility senior Iranian delegations come Syria operate.22h agoAssociated Press5 killed police chase mass prison break LebanonNearly 70 inmates broke prison Lebanon Saturday smashing cell doors attacking prison guards, police said. According police statement, escaped inmates died car stole fleeing crashed tree ensuing police chase. An investigation incident underway, according police statement.2d agoThe WeekBidens challenges abroadPresident Trump pulled U.S. global leadership. Can Joe Biden restore it? Heres need know:What Biden facing? Trumps America First foreign policy radical departure multilateral approach Obama administration, transformed international landscape. The U.S. pulled Paris climate accord, TransPacific Partnership trade pact, World Health Organization, U.N. human rights commission, unilaterally withdrew multiparty Iran nuclear deal IntermediateRange Nuclear Forces treaty Russia. After years berated Trump, European allies longer feel depend U.S. commitment NATO have, Trumps insistence, begun spend defense. The U.S.China relationship tense decades. Both North Korea Iran nuclear programs Trump took office, jubilant Kim Jong Un recently showing new ICBM reach city U.S.What first? Biden, decades foreign policy experience vice president chairman Senate Committee Foreign Relations, wants reassert American leadership biggest crises facing globe. Most pressing coronavirus pandemic. The U.S. rejoin World Health Organization seek coordinate international plan distribute vaccines. Climate change major challenge. Once Paris climate accord, Biden wants lead global efforts reduce greenhouse gas emissions 2 trillion clean energy infrastructure plan. In week office, Biden plans save remaining nuclear arms control treaty, New START, expires February. While Trump wanted alter pact, Russian President Vladimir Putin willing extend changes years; Biden likely agree. But Biden resume robust support Ukraine, battling Russia, possible hell sanction Moscow attempts interfere U.S. elections.What U.S. allies? Repairing damaged U.S. alliances central Bidens plans allies wary. Some Europeans, French President Emmanuel Macron, Americas retreat international leadership began Trump, Obama administration, U.S. failed act Syrias use chemical weapons. Even Biden wholeheartedly committed defense traditional allies, keenly aware American people vote isolationist years. Europeans longer granted trust U.S., basic things, says Norwegian premier Gro Harlem Brundtland. Europe changed: Brexit means U.K., closest ally, longer voice EU, London desperate favorable trade deal U.S. get.What Middle East? Like Trump, Biden sees Asia, Middle East, Americas foremost strategic challenge, Biden unlikely recommit troops Syria, Afghanistan, Iraq. Still, changes. The Trump administration sold Saudi Arabia United Arab Emirates billions dollars worth weapons, Biden administration likely cut supplies Saudiled war Yemen, killed thousands civilians, punish Saudis human rights abuses murder journalist U.S. resident Jamal Khashoggi. The Israeli relationship change. Biden staunch supporter Israel, doesnt Prime Minister Benjamin Netanyahus hardline policies beneficial Israeli U.S. interests. He U.S. Embassy Jerusalem, oppose continued Israeli settlement building Palestinian territories restore U.S. aid Palestinians.What nuclear proliferation? Biden wants rejoin 2015 Iran nuclear pact, Tehran increased stock lowenriched uranium past years agree progress nuclear weapon. Further attempts negotiate North Korea unlikely; Bidens plan reengage South Korea, abandoning Trumps demand 5 billion house U.S. troops. But rein Pyongyang, cooperation biggest backer, China.How that? Like Trump, Biden wants prevent China establishing military hegemony strategic South China Sea halt Chinese stealing U.S. intellectual property. But Trumps approach, trade war, hurt U.S. economy denting Chinese resolve. Biden expected halt tariff war instead focus working Beijing regional allies Japan, South Korea, Australia areas common interest. But says hold Beijing accountable atrocious human rights abuses Xinjiang reversal democratic freedoms Hong Kong. Balancing competing interests extremely difficult. History erased, said French diplomat JeanMarie Guehenno, U.N. undersecretarygeneral. The kind soft power United States enjoyed past largely evaporated.Forever wars Afghanistan Iraq Its long past time end forever wars, Biden said foreign policy address campaign. We bring vast majority troops home wars Afghanistan Middle East narrowly define mission defeating al Qaida Islamic State. But Iraqis Afghans worried aftermath troop withdrawals. After Obama administration drawdown Iraq, Iran asserted influence Islamic State overran large parts country. We want Obamas policies return country again, said Iraqi lawmaker Dhafer alAni. In Afghanistan, Biden administration likely continue Trumps planned withdrawals contingent Taliban keeping promises stop attacks Afghan forces far done. True peace likely continue elusive.This article published latest issue The Week magazine. If want read like it, try riskfree issues magazine here.More stories Reporter Carl Bernstein names 21 GOP senators repeatedly expressed extreme contempt Trump 5 bruisingly funny cartoons Rudy Giulianis dubious legal strategy America buckling22h agoThe TelegraphThousands attack Brazil supermarket amid violent protests black man beaten death security guardMore 1,000 demonstrators attacked Carrefour Brasil supermarket southern Brazilian city Porto Alegre Friday security guards beat death Black man store. The killing, sparked protests Brazil, occurred late Thursday store employee called security man threatened attack her, cable news channel GloboNews said, citing Rio Grande Sul state military police. Amateur footage fatal beating tributes Black victim published social media. He identified local media father 40yearold Joao Alberto Silveira Freitas. News website G1 later reported initial analysis state forensics institute indicated cause death asphyxiation. In statement Friday, local unit Frances Carrefour SA said deeply regretted called brutal death said immediately took steps ensure responsible legally punished. It said terminate contract security firm, employee charge store time incident, close store mark respect.2d agoAFPThe women served deadly duo TalibanFemale assassins lured Afghan security official death promises sex shooting dumping body cemetery thousands Taliban criminals freed fragile peace plan.1d agoThe TelegraphCalls Britain asylum Pakistani Christian girl forced marry Muslim man abducted gangraped herBoris Johnson urged grant asylum Pakistani Christian girl forced marry Muslim man accused abducting raping gunpoint. The family 14yearold girl claims kidnapped Mohamad Nakash year, blackmail threats violence sign false papers consenting marriage. In August, judges order taken womens refuge overturned higher court, ruled marriage legal returned Mr Nakashs home. The girl escaped hiding. But lawyer claims associates Mr Nakash, turned en masse court hearings, trying hunt down. The British charity Aid Church Need, campaigns behalf persecuted Christians worldwide, launched petition asking government grant girl asylum. This shocking case chance Britain commitment Christian welfare feel abandoned West, said spokesman John Pontifex. The case echoes Asia Bibi, Pakistani Christian woman spent years death row Pakistan trumpedup blasphemy charges.2d agoAssociated PressTrump aims box Biden abroad, workOn way door, Trump administration enacting new rules, regulations orders hopes box Presidentelect Joe Bidens administration numerous foreign policy matters cement President Donald Trumps America First legacy international affairs. In recent weeks, White House, State Department agencies working overtime produce new policy pronouncements Iran, Israel, China aim lock Trumps vision world.5h agoThe WeekWhite House vaccine czar expects kids receive coronavirus vaccine middle 2021Theres growing likelihood round Pfizers coronavirus vaccine rolled weeks. If happens, high priority groups, like health care workers, expected access. Theoretically, pool grow time, children probably wait while. Thats partly younger people, far invulnerable COVID19, susceptible severe cases, fact youngest people receive Pfizers candidate trials 12 14 years old, Dr. Moncef Slaoui, White House vaccine czar, told CNNs Jake Tapper Sunday.As things stand, theres data vaccines efficacy safety younger children, Slaoui says plan run trials expedited pace coming months, younger adolescents, toddlers, and, finally, infants. If goes well, Slaoui, expects kids able vaccinated middle year, infants approved end 2021. > Dr. Moncef Slaoui, White House vaccine czar, tells expects children able receive coronavirus vaccine time middle year. We need run clinical trials expedited basis. CNNSOTU pic.WlOUxKA3RN> > State Union November 22, 2020More stories Reporter Carl Bernstein names 21 GOP senators repeatedly expressed extreme contempt Trump 5 bruisingly funny cartoons Rudy Giulianis dubious legal strategy America buckling14h agoBusiness InsiderA bipartisan group Georgia teens trying flip Senate enlisting thousands students vote January runoffsThe group hopes register 23,000 Georgia teens vote general election turn 18 time vote Senate runoffs.2d agoMore Stories | 2,020 | [
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https://www.forbes.com/sites/forbesbusinesscouncil/2020/07/01/five-ways-you-can-protect-your-machine-learning-systems/ | 2020-07-01T00:00:00 | en | Council Post: Five Ways You Can Protect Your Machine Learning Systems | Council Post: Five Ways You Can Protect Your Machine Learning SystemsSign in to your Forbes account orregisterPlease help us continue to provide you with free, quality journalism by turning off your ad blocker on our site.For instructions on how to disable your ad blocker, click here.I’ve Turned Off My Ad BlockerOr Sign In To Continue Using An Ad BlockerThank you for signing in.If this is your first time registering, please check your inbox for more information about the benefits of your Forbes account and what you can do next!I agree to receive occasional updates and announcements about Forbes products and services. You may opt out at any time.I'd like to receive the Forbes Daily Dozen newsletter to get the top 12 headlines every morning.Forbes takes privacy seriously and is committed to transparency. We will never share your email address with third parties without your permission. By signing in, you are indicating that you accept our Terms of Service and Privacy Statement.BillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice | Paid ProgramGamesGreen TechHealthcareIBM Security BrandVoice | Paid ProgramJapan BrandVoice | Paid ProgramJumio BrandVoice | Paid ProgramOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSmartsheet BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesTop Advisor | SHOOKWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentKPMG BrandVoice | Paid ProgramManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsStyle & BeautyTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Personal LoansBest Savings AccountsBest Balance Transfer Credit CardsBest Student LoansBest Checking AccountsBest 0% APR Credit CardsAuto Loan CalculatorBest CD RatesBest Cash Back Credit CardsPersonal Loan CalculatorBest Online Banks Best Rewards Credit CardsBest Car Insurance RatesStimulus Check CalculatorBest Business Credit CardsBest Travel Insurance CompaniesAdvisor NowBrowse All Credit CardsBest Life Insurance RatesYour Money & CoronavirusFeatured30 Under 30 2020Athene BrandVoice | Paid ProgramDNA Of SuccessForbes AI: IBM Forbes Insights | Paid ProgramForbes Analytics Plus With Teradata | Paid ProgramMoney 2020Oracle BrandVoice | Paid ProgramTableau BrandVoice | Paid ProgramThePowerMBA BrandVoice | Paid ProgramUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story|Jul 1, 2020,08:40am EDTFive Ways You Can Protect Your Machine Learning SystemsChaitanya HiremathForbes Councils MemberForbes Business CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author.| Paid ProgramSmall BusinessShare to FacebookShare to TwitterShare to LinkedinFounder and CEO: Scanta
Getty
Since its advent, machine learning has altered the world of technology one industry vertical at a time. Starting from the predictive analytics engines that generate recommendations to the artificial intelligence technology used in a myriad of antivirus applications, this is all machine learning at play.
But what happens when these systems get confused or, worse, get attacked and purposefully manipulated into making wrong decisions? Thus, like any other technology, it is crucial to analyze machine learning's advancing canvas and the potential risks of misuse that comes with it.
First, let's answer the question, "What is machine learning?"
Machine learning is a subset of AI in which the system learns from experiences and keeps on improving its skills and decision-making ability. In other words, it is a technology that makes a machine capable of performing human-like responses sans human intervention.
There is no doubt that machine learning has opened up a lot of new avenues. However, for all its advantages, it is important to recognize its inherent vulnerabilities, too. Machine learning algorithms are vulnerable to manipulation and exploitation at every stage of their use from their inception to operation. As a result, it is vital to diagnose the problem, recognize vulnerable systems and adopt appropriate measures to mitigate risk before malicious actors exploit it to fulfill their agendas.
Here are the five ways that machine learning systems can be protected from potential attacks:
1. Securing soft assets: Generally, not much weightage is given to protecting soft assets like datasets, algorithms and other system details compared to hard assets like passwords that are stored in high-security encryption. This is something that needs to be amended in light of the potential security attacks on machine learning systems.
If the adversaries got hold of the dataset that is used to train a model, then they can potentially reverse engineer the model and use it as a vessel to craft attacks. This is why data must be guarded and managed throughout its continuance. Major applications employing machine learning need to embrace a set of practices to strengthen the protection of soft assets, as the safety of these soft targets will be a fundamental element in defense against attacks.
2. Improving intrusion detection systems: While securing soft assets will jack up the difficulty of executing attacks, that is not to say that attacks won't happen. The intruders will still attempt to attack the system and, in some events, might even be successful. Therefore, these intrusions must be identified before the adversary has time to administer an attack. Ensure you're establishing strategies to improve intrusion detection practices and implementing a scheme of programs that can profile unusual behavior patterns.
3. Formulating attack response plans: If an attack has been detected or an intrusion has ensued that might compromise the system, an attack response plan should be put into action immediately. Keeping this in mind, take stock of different ways your machine learning systems could be attacked, and accordingly devise the mitigation protocols.
Your mitigation protocols depend on the type of machine learning system employed. Take a social media network, for example: In this case, attacks might be geared toward deceiving its content filters. Response plans that incorporate the use of methods such as human-based content auditing might help in moderating the attacks. Companies should take a look at existing threats and see how ML attacks can be utilized by the attackers to achieve a similar goal.
4. Reviewing and updating data policies: Hackers could corrupt the training data sets by poisoning them with bad data and weaponize it against your systems. For this, reviewing and updating data collection policies is needed. Regular review should be done to distinguish emerging ways the incoming training data can be weaponized against the machine learning systems. These reviews can be used to update data collection and protocols.
5. Restricting data sharing: To keep malicious attacks at bay, it is imperative to maintain the confidentiality and integrity of data that is used to build the machine learning system. Well-informed decisions should be taken when data sharing is unavoidable and policymakers should strike an appropriate balance between security and utility. This restriction is required because the knowledge of such data could make carrying out attacks extremely easier.
Machine learning and AI have revolutionized the panorama of the tech universe, and rightfully so. We are talking about a technology here that has an ability to learn and improve over time; something that just used to be science-fiction is now a scientific fact. Since this technology is becoming more capable and intelligent every day, it is exigent to put it on trial for the new threats it brings.
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Follow me on LinkedIn. Check out my website. Chaitanya HiremathFounder and CEO: Scanta. Read Chaitanya Hiremath's full executive profile here.… Read MoreFounder and CEO: Scanta. Read Chaitanya Hiremath's full executive profile here. Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices | Council Post: Five Ways You Can Protect Your Machine Learning Systems | Council Post: Five Ways You Can Protect Your Machine Learning SystemsSign Forbes accountorregisterPlease help continue provide free, quality journalism turning ad blocker site.For instructions disable ad blocker,click here.Ive Turned Off My Ad BlockerOr To Continue Using An Ad BlockerThank signing in.If time registering, check inbox information benefits Forbes account nextI agree receive occasional updates announcements Forbes products services. 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BETAThis BETA experience. You optout byclicking hereEdit StoryJul 1, 2020,08:40am EDTFive Ways You Can Protect Your Machine Learning SystemsChaitanya HiremathForbes Councils MemberForbes Business CouncilCOUNCIL POSTExpertise Forbes Councils members, operated license. Opinions expressed author. Paid ProgramSmall BusinessShare FacebookShare TwitterShare LinkedinFounder CEO:Scanta Getty Since advent, machine learning altered world technology industry vertical time. Starting predictive analytics engines generate recommendations artificial intelligence technology myriad antivirus applications, machine learning play. But happens systems confused or, worse, attacked purposefully manipulated making wrong decisions? Thus, like technology, crucial analyze machine learnings advancing canvas potential risks misuse comes it. First, lets answer question, What machine learning? Machine learning subset AI learns experiences keeps improving skills decisionmaking ability. In words, technology makes machine capable performing humanlike responses sans human intervention. There doubt machine learning opened lot new avenues. However, advantages, important recognize inherent vulnerabilities, too. Machine learning algorithms vulnerable manipulation exploitation stage use inception operation. As result, vital diagnose problem, recognize vulnerable systems adopt appropriate measures mitigate risk malicious actors exploit fulfill agendas. Here ways machine learning systems protected potential attacks: 1. Securing soft assets: Generally, weightage given protecting soft assets like datasets, algorithms details compared hard assets like passwords stored highsecurity encryption. This needs amended light potential security attacks machine learning systems. If adversaries got hold dataset train model, potentially reverse engineer model use vessel craft attacks. This data guarded managed continuance. Major applications employing machine learning need embrace set practices strengthen protection soft assets, safety soft targets fundamental element defense attacks. 2. Improving intrusion detection systems: While securing soft assets jack difficulty executing attacks, attacks wont happen. The intruders attempt attack and, events, successful. Therefore, intrusions identified adversary time administer attack. Ensure youre establishing strategies improve intrusion detection practices implementing scheme programs profile unusual behavior patterns. 3. Formulating attack response plans: If attack detected intrusion ensued compromise system, attack response plan action immediately. Keeping mind, stock different ways machine learning systems attacked, accordingly devise mitigation protocols. Your mitigation protocols depend type machine learning employed. Take social media network, example: In case, attacks geared deceiving content filters. Response plans incorporate use methods humanbased content auditing help moderating attacks. Companies look existing threats ML attacks utilized attackers achieve similar goal. 4. Reviewing updating data policies: Hackers corrupt training data sets poisoning bad data weaponize systems. For this, reviewing updating data collection policies needed. Regular review distinguish emerging ways incoming training data weaponized machine learning systems. These reviews update data collection protocols. 5. Restricting data sharing: To malicious attacks bay, imperative maintain confidentiality integrity data build machine learning system. Wellinformed decisions taken data sharing unavoidable policymakers strike appropriate balance security utility. This restriction required knowledge data carrying attacks extremely easier. Machine learning AI revolutionized panorama tech universe, rightfully so. We talking technology ability learn improve time; sciencefiction scientific fact. Since technology capable intelligent day, exigent trial new threats brings. Forbes Business Council foremost growth networking organization business owners leaders. Do I qualify? Follow onLinkedIn.Check outmywebsite.Chaitanya HiremathFounder CEO: Scanta. Read Chaitanya Hiremaths executive profile here.Read MoreFounder CEO: Scanta. Read Chaitanya Hiremaths executive profile here.Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices | 2,020 | [
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https://www.techjuice.pk/instagram-will-now-use-ai-to-automatically-delete-offensive-comments-on-your-posts/ | 2020-10-08T00:00:00 | en | Instagram will now use AI to automatically delete offensive comments on your posts | Instagram will now use AI to automatically delete offensive comments on your posts ✖TopicsStartupsTechnologyCryptocurrencyNEWMobileEducationNEWOnline EarningOpinionsProductivityQuick TipsShoppingMobiles PricesSamsungAppleQMobileXiaomiHuaweiOppoGoogleInfinixHTCLGMotorolaNokiaOnePlusSonyTecnoVivoWritersAli LeghariAli RazaAsra RizwanFatima RizwanMaheen KanwalMaryam DodhyMuneeb AhmadSajeel SyedShehryar AhmedShaheryar EhsanShaoor MunirTalha HameedTalha SaqibUzair KhalidSpecial FeaturesNEWRapid HireGirls Can CodeTelenor Velocity25 under 2525 under 25 – 201725 under 25 – 2018NEWTopicsTechnologyMobileStartupsEducationCryptocurrencyQuick TipsShoppingOnline EarningMobile PriceSamsungAppleQMobileOppoHTCHuaweiInfinixNokiaOnePlusXiaomiHTCTecnoSonyMoreGirls Can Code25 under 25About UsAdvertiseContact UsOur Ethical Statement TechJuice > News > Instagram will now use AI to automatically delete offensive comments on your postsInstagram will now use AI to automatically delete offensive comments on your postsBy Hamza Zakir on October 8, 2020 - Like us now! 0share Facebook Twitter LinkedIn WhatsApp Gmailnstagram is celebrating a decade of being one of the most popular social media apps in the world, and it has taken this opportunity to roll out a whole bunch of visual features. Not only is it allowing you to change the app icon, but it is also introducing a smart feature to combat social media trolling and bullying.The company says that it will detect offensive comments by relying on content previously reported by you. You can access the “View Hidden Comments” option to view these comments. As for any comments that violate Instagram’s community guidelines, those get deleted right away as well.Additionally, the social media app is expanding its “nudge” feature that notifies someone when they post a malicious comment. Conventionally, the feature alerts the commentor only once. This new development, however, will show warnings when someone repeatedly tries to post insulting stuff. The original nudge feature seems to have paid off, as Instagram claims that it has witnessed “a meaningful decline in negative interactions” on its comment sections.These new features are in beta mode as of now. They will start off by being available globally to people writing comments in English, Portuguese, Spanish, French, Russian, Chinese, and Arabic on the Android platform. Instagram states that it will expand this feature to other languages in the future.×TechJuice for Browser: Get breaking news notifications on your browser. SubscribeLike our stories? Follow our Instagram for pictorial updates.Follow @techjuicepk 0share Facebook Twitter LinkedIn WhatsApp GmailRelatedanti-bullying feature Instagram Instagram 10th anniversary previous021Disrupt 2020 set to go live on 23rd November random nextThis EU-funded AI judges your face and tells you how “normal” you are Join 100,000 techies from around the world Trending PostsHow to check or pay your traffic E-Challan onlineHow to apply and renew your driving license online in Pakistan5 laptops that you can buy under 50K easily in PakistanLudo Star Hacks: Here's how to always get a six!COAS inaugurates state of the art Software Technology Park in GilgitNADRA introduces an SMS service to check CNIC Family TreeThese kids ordered a drone from Daraz only to be scammedLearn about cloud computing and get Google swags through #CloudSeekho 2.0KP Govt launches platform to provide employment opportunities to Freelancers and ICT companiesHere’s how you can get computerized arms license from NADRAIndustry Press ReleasesCustomers donate PKR 21.5 million through Careem Super App rewards Telenor Microfinance Bank receives US$45 million Equity Injection to continue its Growth on Digital Strategy Careem partners with Coded Minds to Offer Educational Services to its Captains’ Families Telenor Pakistan and National Highways & Motorway Police explore areas of collaboration for improving governance through technology Easypaisa joins hands with Rawalpindi Chamber of Commerce and Industry to facilitate Digital Transactions In cooperation with the World Food Programme (WFP) Careem provides its customers with a chance to Donate and help the People of Beirut Now pay your SNGPL bills directly through Easypaisa ADVERTISEMENTPakistan's premier technology platform covering everything about technology, startups and entrepreneurship.Important LinksAbout UsCareersEthicsContact UsPrivacy PolicySponsor Content for TechJuiceImportant LinksStartup Incubators in PakistanTechJuice 25 under 25 – 2016Top Universities in PakistanAndroid Phone RootingTop UniversitiesGhulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)Lahore University Of Management Sciences (LUMS)National University of Computer and Emerging Sciences (FAST-NU)National University of Sciences and Technology (NUST)University of Engineering and Technology, Lahore (UET)Mobile PackagesZong Packages Zong Call Packages Zong SMS Packages Zong Internet Packages Zong Device Packages Zong Balance Check Code Zong Advance Balance Code Zong 3G/4G Internet SettingsTelenor Packages Telenor Call Packages Telenor SMS Packages Telenor Internet Packages Telenor Device Packages Telenor Balance Check Code Telenor Advance Balance Code Telenor 3G/4G Internet SettingsMobile PackagesUfone Packages Ufone Call Packages Ufone SMS Packages Ufone Internet Packages Ufone Balance Check Code Ufone Advance Balance Code Ufone 3G/4G Internet SettingsJazz Packages Jazz Call Packages Jazz SMS Packages Jazz Internet Packages Jazz Device Packages Jazz Balance Check Code Jazz Advance Balance Code Jazz 3G/4G Internet Settings Internet & DevicesInternet Packages Fiberlink Internet Packages & Prices Nayatel Internet Packages & Prices StormFiber Internet Packages & Prices PTCL Internet Packages & Prices Internet Devices PTCL Internet Devices Zong Internet Devices Telenor Internet Devices Jazz Internet Devices Copyright © 2018 TechJuice, All Rights Reserved.Designed & Developed by JuiceBees | Instagram will now use AI to automatically delete offensive comments on your posts | Instagram use AI automatically delete offensive comments posts TopicsStartupsTechnologyCryptocurrencyNEWMobileEducationNEWOnline EarningOpinionsProductivityQuick TipsShoppingMobiles PricesSamsungAppleQMobileXiaomiHuaweiOppoGoogleInfinixHTCLGMotorolaNokiaOnePlusSonyTecnoVivoWritersAli LeghariAli RazaAsra RizwanFatima RizwanMaheen KanwalMaryam DodhyMuneeb AhmadSajeel SyedShehryar AhmedShaheryar EhsanShaoor MunirTalha HameedTalha SaqibUzair KhalidSpecial FeaturesNEWRapid HireGirls Can CodeTelenor Velocity25 2525 25 201725 25 2018NEWTopicsTechnologyMobileStartupsEducationCryptocurrencyQuick TipsShoppingOnline EarningMobile PriceSamsungAppleQMobileOppoHTCHuaweiInfinixNokiaOnePlusXiaomiHTCTecnoSonyMoreGirls Can Code25 25Advertise UsOur Ethical Statement TechJuice > News > Instagram use AI automatically delete offensive comments postsInstagram use AI automatically delete offensive comments postsBy Hamza Zakir October 8, 2020 Like 0share Facebook Twitter LinkedIn WhatsApp Gmailnstagram celebrating decade popular social media apps world, taken opportunity roll bunch visual features. Not allowing change app icon, introducing smart feature combat social media trolling bullying.The company says detect offensive comments relying content previously reported you. You access View Hidden Comments option view comments. As comments violate Instagrams community guidelines, deleted right away well.Additionally, social media app expanding nudge feature notifies post malicious comment. Conventionally, feature alerts commentor once. This new development, however, warnings repeatedly tries post insulting stuff. The original nudge feature paid off, Instagram claims witnessed meaningful decline negative interactions comment sections.These new features beta mode now. They start available globally people writing comments English, Portuguese, Spanish, French, Russian, Chinese, Arabic Android platform. Instagram states expand feature languages future.TechJuice Browser: Get breaking news notifications browser. Like stories? Follow Instagram pictorial updates.Follow 0share Facebook Twitter LinkedIn WhatsApp GmailRelatedantibullying feature Instagram Instagram 10th anniversaryprevious021Disrupt 2020 set live 23rd November randomnextThis EUfunded AI judges face tells normal areJoin 100,000 techies world Trending PostsHow check pay traffic EChallan onlineHow apply renew driving license online Pakistan5 laptops buy 50K easily PakistanLudo Star Hacks: Heres sixCOAS inaugurates state art Software Technology Park GilgitNADRA introduces SMS service check CNIC Family TreeThese kids ordered drone Daraz scammedLearn cloud computing Google swags CloudSeekho 2.0KP Govt launches platform provide employment opportunities Freelancers ICT companiesHeres computerized arms license NADRAIndustry Press ReleasesCustomers donate PKR 21.5 million Careem Super App rewardsTelenor Microfinance Bank receives US45 million Equity Injection continue Growth Digital StrategyCareem partners Coded Minds Offer Educational Services Captains FamiliesTelenor Pakistan National Highways Motorway Police explore areas collaboration improving governance technologyEasypaisa joins hands Rawalpindi Chamber Commerce Industry facilitate Digital TransactionsIn cooperation World Food Programme WFP Careem provides customers chance Donate help People BeirutNow pay SNGPL bills directly EasypaisaADVERTISEMENTPakistans premier technology platform covering technology, startups entrepreneurship.Important LinksCareersEthics UsSponsor Content TechJuiceImportant LinksStartup ubators PakistanTechJuice 25 25 2016Top Universities PakistanAndroid Phone RootingTop UniversitiesGhulam Ishaq Khan Institute Engineering Sciences Technology GIKILahore University Of Management Sciences LUMSNational University Computer Emerging Sciences FASTNUNational University Sciences Technology NUSTUniversity Engineering Technology, Lahore UETMobile PackagesZong Packages Zong Call Packages Zong SMS Packages Zong Internet Packages Zong Device Packages Zong Balance Check Code Zong Advance Balance Code Zong 3G4G Internet SettingsTelenor Packages Telenor Call Packages Telenor SMS Packages Telenor Internet Packages Telenor Device Packages Telenor Balance Check Code Telenor Advance Balance Code Telenor 3G4G Internet SettingsMobile PackagesUfone Packages Ufone Call Packages Ufone SMS Packages Ufone Internet Packages Ufone Balance Check Code Ufone Advance Balance Code Ufone 3G4G Internet SettingsJazz Packages Jazz Call Packages Jazz SMS Packages Jazz Internet Packages Jazz Device Packages Jazz Balance Check Code Jazz Advance Balance Code Jazz 3G4G Internet Settings Internet DevicesInternet Packages Fiberlink Internet Packages Prices Nayatel Internet Packages Prices StormFiber Internet Packages Prices PTCL Internet Packages Prices Internet Devices PTCL Internet Devices Zong Internet Devices Telenor Internet Devices Jazz Internet Devices 2018 TechJuice, .Designed Developed JuiceBees | 2,020 | [
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https://rejerusalem.com/134464/cloud-telecommunication-ai-market-is-booming-worldwide-sentient-technologies-h2o-ai-cisco-systems/ | 2020-10-20T00:00:00 | en | Cloud Telecommunication AI Market Is Booming Worldwide| Sentient Technologies, H2O.ai, Cisco Systems – re:Jerusalem |
Cloud Telecommunication AI Market Is Booming Worldwide| Sentient Technologies, H2O.ai, Cisco Systems – re:Jerusalem
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Cloud Telecommunication AI Market Is Booming Worldwide| Sentient Technologies, H2O.ai, Cisco Systems
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October 20, 2020
Cloud Telecommunication AI Market
Latest 2020 version of Global Cloud Telecommunication AI Market study of 123+ data Tables, Pie Chat, Graphs & Figures spread through Pages and easy to understand in depth analysis. “Cloud Telecommunication AI Market by Type (,Product Type I, Product Type II, Product Type III), by Application (Customer Analytics, Network Security, Network Optimization, Self-diagnostics, Others) and Region – Forecast and Status to 2025″. At present, the market is developing its presence. The Research assessment of the Market contains a historical trend, current growth factors with opinions view & industry certified market details. The research study provides estimates for Global Cloud Telecommunication AI Forecast till 2026*. Some of the key players profiled are Sentient Technologies, H2O.ai, Cisco Systems, IBM & NVIDIA etc.
Get Access to sample pages @ https://www.htfmarketreport.com/sample-report/2644881-global-cloud-telecommunication-ai-market-4
The Global Cloud Telecommunication AI market report more focuses on top industry leaders and explores all essentials facets competitive landscape. It explains potent business strategies and approaches, consumption propensity, regulatory policies, recent moves taken by competitors, as well as potential investment opportunities and market threats also. The financial details of players/manufacturers including year-wise sale, revenue growth, CAGR, production cost and benchmarking is beautifully covered and examined.
In 2020, the Global Cloud Telecommunication AI market size was USD XX and is forecast to reach Million YY USD in 2026, growing at a CAGR of xx%. The objectives of this study is to define, market segment having opportunity, and to project the size of the Cloud Telecommunication AI market based on company, product type, application and key regions.
**The market is value is calculated on regional weighted average selling price and includes applicable taxes on manufacturers or end product. All currency conversions used is constant annual average 2019 currency rates.
Competition Analysis
Global Cloud Telecommunication AI Market – Vendor Landscape: Players that are included in the study are Sentient Technologies, H2O.ai, Cisco Systems, IBM & NVIDIA. The analysts of the publication explain the nature and futuristic changes in competitive scenario of the global companies.
The Study is segmented by following Product Type , Product Type I, Product Type II, Product Type III
Major applications/end-users industry are as follows Customer Analytics, Network Security, Network Optimization, Self-diagnostics, Others
Enquire for customization in Report @ https://www.htfmarketreport.com/enquiry-before-buy/2644881-global-cloud-telecommunication-ai-market-4
Region Segmentation: North America Country (United States, Canada), South America, Asia Country (China, Japan, India, Korea), Europe Country (Germany, UK, France, Italy), Other Country (Middle East, Africa, GCC)
** Customized Report with 2-level country break-up is available
North America (United States, Canada, Mexico)
South America (Peru, Brazil, Argentina, Rest of South America)
Asia (Indonesia, China, Japan, Taiwan, India, Korea, RoA)
Europe (Germany, United Kingdom, France, Italy, Spain, Switzerland, Belgium, Russia, Rest of Europe)
Others (Middle East, Africa)
In this study, the years considered to estimate the market size of Global Cloud Telecommunication AI are as follows:
• History Year: 2014-2019
• Base Year: 2019
• Estimated Year: 2020
• Forecast Year 2020 to 2026
Highly Competitive Market [Perfect Competition; C4 Index above 50% of Total Market Share]
• Focus of the study is to analyse characteristics that affect the nature of competition and pricing.
• Identifying Influencing factors keeping Global Cloud Telecommunication AI Market Intense, factored with periodic analysis of CR4 & CR8 concentration ratio.
• Predictive analysis on upcoming trends and changes in consumer behaviour.
• To analyse the competitive developments, such as new product launch and merger & acquisition, in the Global Cloud Telecommunication AImarket
Buy full research report @ https://www.htfmarketreport.com/buy-now?format=1&report=2644881
Key Stakeholders/Global Reports:
• Cloud Telecommunication AI Manufacturers
• Cloud Telecommunication AI Distributors/Traders/Wholesalers
• Cloud Telecommunication AI Sub-component Manufacturers
• Industry Association
• Downstream Vendors
Following would be the Chapters to display the Global Cloud Telecommunication AI market.
Chapter 1, to describe Definition, Specifications and Classification of Cloud Telecommunication AI, Applications of Cloud Telecommunication AI, Market Segment by Regions;
Chapter 2, to analyze the Raw Material and upstream Suppliers cost analysis, Process & Value Chain;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of Cloud Telecommunication AI, Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Company Analysis, Sales Price Analysis ;
Chapter 5 and 6, to show the Regional Market Analysis that includes North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific, Europe, Germany, the UK, Italy, Russia, Rest of Europe, Central & South America, Brazil, Argentina, Rest of South America, Middle East & Africa, Saudi Arabia, Turkey & Rest of Middle East & Africa, Cloud Telecommunication AI Segment Market Analysis (by Type);
Chapter 7 and 8, to analyze the Cloud Telecommunication AI Segment Market Analysis (by Application) Major Manufacturers Analysis of Cloud Telecommunication AI;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type [, Product Type I, Product Type II, Product Type III], Market Trend by Application [Customer Analytics, Network Security, Network Optimization, Self-diagnostics, Others];
Chapter 10, 11, to analyze the Consumers Analysis of Global Cloud Telecommunication AI;
Chapter 12,13, 14 and 15, to describe Cloud Telecommunication AI sales channel, study Conclusion, appendix and data source.
Read Detailed Index of full Research Study at @ https://www.htfmarketreport.com/reports/2644881-global-cloud-telecommunication-ai-market-4
Thanks for reading this article, you can also get individual chapter wise section or region wise report version like South America, Eastern Europe, Middle East or Southeast Asia. Also, If you have any special requirements, please let us know and we will offer you the report as you want.
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
TagsCloud Telecommunication AI Market Analysis Cloud Telecommunication AI Market Forecast Cloud Telecommunication AI Market Growth Cloud Telecommunication AI Market Share Cloud Telecommunication AI Market Size Cloud Telecommunication AI Market Trends
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| Cloud Telecommunication AI Market Is Booming Worldwide | Cloud Telecommunication AI Market Is Booming Worldwide Sentient Technologies, H2O.ai, Cisco Systems re:Jerusalem Tuesday, October 20 2020 Trending Windows 10 20H2 available consumers major news Corona scared class: Gnabry absent Bayern Free press Apple HomePod gets version 14.1 HomePod Mini support, Intercom mode Energy spare: AMD Ryzen 9 5950X 5900X appear benchmarks 16 cores 5 GHz Impact Of Covid 19 On Urine Bags Market Has Huge Growth In Industry Bard, Teleflex, Coloplast AS, B. Braun Medical Ltd Covid19 Impact On Topaz Earrings Market 2020 Enormous Growth With Recent Trends Demand By Top Vendors TJC, TIFFANY, Ernest Jones, Two Tone Jewelry Tamper Evident Labels Market Competition Analysis Report 2020 Tesa SE, 3M Company, Avery Dennison Corporation, Sticky Things Limited Logitech introduces silent mouse keyboard Brazilian market Sports Shotgun Market Depth Survey Report 2020 Benelli, Sturm, Ruger, Howa Machinery Impact Of Covid19 Snow Helmet Market 2020: Key Growth Factors Opportunity Analysis 2025 Sidebar Log In Random Article re:Jerusalem Business Health Industries International SciTech Sports Publish PRs HomeBusinessCloud Telecommunication AI Market Is Booming Worldwide Sentient Technologies, H2O.ai, Cisco Systems Business Cloud Telecommunication AI Market Is Booming Worldwide Sentient Technologies, H2O.ai, Cisco Systems htfm October 20, 2020 Cloud Telecommunication AI Market Latest 2020 version Global Cloud Telecommunication AI Market study 123 data Tables, Pie Chat, Graphs Figures spread Pages easy understand depth analysis. Cloud Telecommunication AI Market Type ,Product Type I, Product Type II, Product Type III, Application Customer Analytics, Network Security, Network Optimization, Selfdiagnostics, Others Region Forecast Status 2025. At present, market developing presence. The Research assessment Market contains historical trend, current growth factors opinions view industry certified market details. The research study provides estimates Global Cloud Telecommunication AI Forecast till 2026. Some key players profiled Sentient Technologies, H2O.ai, Cisco Systems, IBM NVIDIA etc. Get Access sample @ The Global Cloud Telecommunication AI market report focuses industry leaders explores essentials facets competitive landscape. It explains potent business strategies approaches, consumption propensity, regulatory policies, recent moves taken competitors, potential investment opportunities market threats also. The financial details playersmanufacturers including yearwise sale, revenue growth, CAGR, production cost benchmarking beautifully covered examined. In 2020, Global Cloud Telecommunication AI market size USD XX forecast reach Million YY USD 2026, growing CAGR xx. The objectives study define, market segment opportunity, project size Cloud Telecommunication AI market based company, product type, application key regions. The market value calculated regional weighted average selling price includes applicable taxes manufacturers end product. All currency conversions constant annual average 2019 currency rates. Competition Analysis Global Cloud Telecommunication AI Market Vendor Landscape: Players included study Sentient Technologies, H2O.ai, Cisco Systems, IBM NVIDIA. The analysts publication explain nature futuristic changes competitive scenario global companies. The Study segmented following Product Type , Product Type I, Product Type II, Product Type III Major applicationsendusers industry follows Customer Analytics, Network Security, Network Optimization, Selfdiagnostics, Others Enquire customization Report @ Region Segmentation: North America Country United States, Canada, South America, Asia Country China, Japan, India, Korea, Europe Country Germany, UK, France, Italy, Other Country Middle East, Africa, GCC Customized Report 2level country breakup available North America United States, Canada, Mexico South America Peru, Brazil, Argentina, Rest South America Asia Indonesia, China, Japan, Taiwan, India, Korea, RoA Europe Germany, United Kingdom, France, Italy, Spain, Switzerland, Belgium, Russia, Rest Europe Others Middle East, Africa In study, years considered estimate market size Global Cloud Telecommunication AI follows: History Year: 20142019 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020 2026 Highly Competitive Market [Perfect Competition; C4 Index 50 Total Market Share] Focus study analyse characteristics affect nature competition pricing. Identifying Influencing factors keeping Global Cloud Telecommunication AI Market Intense, factored periodic analysis CR4 CR8 concentration ratio. Predictive analysis upcoming trends changes consumer behaviour. To analyse competitive developments, new product launch merger acquisition, Global Cloud Telecommunication AImarket Buy research report @ Key StakeholdersGlobal Reports: Cloud Telecommunication AI Manufacturers Cloud Telecommunication AI DistributorsTradersWholesalers Cloud Telecommunication AI Subcomponent Manufacturers Industry Association Downstream Vendors Following Chapters display Global Cloud Telecommunication AI market. Chapter 1, Definition, Specifications Classification Cloud Telecommunication AI, Applications Cloud Telecommunication AI, Market Segment Regions; Chapter 2, analyze Raw Material upstream Suppliers cost analysis, Process Value Chain; Chapter 3, display Technical Data Manufacturing Plants Analysis Cloud Telecommunication AI, Capacity Commercial Production Date, Manufacturing Plants Distribution, RD Status Technology Source, Raw Materials Sources Analysis; Chapter 4, Company Analysis, Sales Price Analysis ; Chapter 5 6, Regional Market Analysis includes North America, United States, Canada, Mexico, AsiaPacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest AsiaPacific, Europe, Germany, UK, Italy, Russia, Rest Europe, Central South America, Brazil, Argentina, Rest South America, Middle East Africa, Saudi Arabia, Turkey Rest Middle East Africa, Cloud Telecommunication AI Segment Market Analysis Type; Chapter 7 8, analyze Cloud Telecommunication AI Segment Market Analysis Application Major Manufacturers Analysis Cloud Telecommunication AI; Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend Product Type [, Product Type I, Product Type II, Product Type III], Market Trend Application [Customer Analytics, Network Security, Network Optimization, Selfdiagnostics, Others]; Chapter 10, 11, analyze Consumers Analysis Global Cloud Telecommunication AI; Chapter 12,13, 14 15, Cloud Telecommunication AI sales channel, study Conclusion, appendix data source. Read Detailed Index Research Study @ Thanks reading article, individual chapter wise section region wise report version like South America, Eastern Europe, Middle East Southeast Asia. Also, If special requirements, let know offer report want. 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 sales Connect atLinkedInFacebookTwitter TagsCloud Telecommunication AI Market Analysis Cloud Telecommunication AI Market Forecast Cloud Telecommunication AI Market Growth Cloud Telecommunication AI Market Share Cloud Telecommunication AI Market Size Cloud Telecommunication AI Market Trends Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print htfm Related Articles October 7, 2020 7 Radioimmunoassays Market Research, Development, Top Companies, Trends Growth 20202026 Immunoshop India Pvt Ltd., Institute Of Isotopes Co. Ltd, Instrumentation Laboratory Co. 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Remember Log In | 2,020 | [
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https://www.healthcareitnews.com/news/fda-highlights-need-address-bias-ai | 2020-10-23T00:00:00 | en | FDA highlights the need to address bias in AI | Healthcare IT News |
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Global EditionMedical DevicesFDA highlights the need to address bias in AI At a meeting of the agency's Patient Engagement Advisory Committee, officials stressed the necessity of ensuring there's diversity in the data used to train algorithms.By Kat JercichOctober 22, 202004:56 PM
The U.S. Food and Drug Administration on Thursday convened a public meeting of its Patient Engagement Advisory Committee to discuss issues regarding artificial intelligence and machine learning in medical devices.
"Devices using AI and ML technology will transform healthcare delivery by increasing efficiency in key processes in the treatment of patients," said Dr. Paul Conway, PEAC chair and chair of policy and global affairs of the American Association of Kidney Patients.
As Conway and others noted during the panel, AI and ML systems may have algorithmic biases and lack transparency – potentially leading, in turn, to an undermining of patient trust in devices.
Medical device innovation has already ramped up in response to the COVID-19 crisis, with Center for Devices and Radiological Health Director Dr. Jeff Shuren noting that 562 medical devices have already been granted emergency use authorization by the FDA.
It's imperative, said Shuren, that patients' needs be considered as part of the creation process.
"We continue to encourage all members of the healthcare ecosystem to strive to understand patients' perspective and proactively incorporate them into medical device development, modification and evaluation," said Shuren. "Patients are truly the inspiration for all the work we do."
"Despite the global challenges with the COVID-19 public health emergency ... the patient's voice won't be stopped," Shuren added. "And if anything, there is even more reason for it to be heard."
However, said Pat Baird, regulatory head of global software standards at Philips, facilitating patient trust also means acknowledging the importance of robust and accurate data sets.
"To help support oru patients, we need to become more familiar with them, their medical conditions, their environment and their needs and wants, to be able to better understand the potentially confounding factors that drive some of the trends in the collected data," said Baird.
"An algorithm trained on one subset of the population might not be relevant for a different subset," Baird explained.
For instance, if a hospital needed a device that would serve its population of seniors at a Florida retirement community, an algorithm trained on recognizing healthcare needs of teens in Maine would not be effective – not every population will have the same needs.
"This bias in the data is not intentional, but can be hard to identify," he continued. He encouraged the development of a taxonomy of bias types that would be made publicly available.
Ultimately, he said, people won't use what they don't trust. "We need to use our collective intelligence to help produce better artificial intelligence populations," he said.
Captain Terri Cornelison, chief medical officer and director of health of women at CDRH, noted that demographic identifiers can be medically significant due to genetics and social determinants of health, among other factors.
"Science is showing us that these are not just categorical identifiers but actually clinically relevant," Cornelison said.
She pointed out that a clinical study that does not identify patients' sex may mask different results for people with different chromosomes.
"In many instances, AI and ML devices may be learning a worldview that is narrow in focus, particularly in the available training data, if the available training data do not represent a diverse set of patients," she said.
"More simply, AI and ML algorithms may not represent you if the data do not include you," she said.
"Advances in artificial intelligence are transforming our health systems and daily lives," Cornelison continued. "Yet despite these significant achievements, most ignore the sex, gender, age, race [and] ethnicity dimensions and their contributions to health adn disease differences among individuals."
The committee also examined how informed consent might play a role in algorithmic training.
"If I give my consent to be treated by an AI/ML device, I have the right to know whether there were patients like me ... in the data set," said Bennet Dunlap, a health communications consultant. "I think the FDA should not be accepting or approving a medical device that does not have patient engagement" of the kind outlined in committee meetings, he continued.
"You need to know what your data is going to be used for," he reiterated. "I have white privilege. I can just assume old white guys are in [the data sets]. That's where everybody starts. But that should not be the case."
Dr. Monica Parker, assistant professor in neurology and education core member of the Goizueta Alzheimer’s Disease Research Center at Emory University, pointed out that diversifying patient data requires turning to trusted entities within communities.
"If people are developing these devices, in the interest of being more broadly diverse, is there some question about where these things were tested?" She raised the issue of testing taking place in academic medical centers or technology centers on the East or West Coast, versus "real-world data collection from hospitals that may be using some variation of the device for disease process."
"Clinicians who are serving the population for which the device is needed" provide accountability and give the device developer a better sense of whom they're treating, Parker said. She also reminded fellow committee members that members of different demographic groups are not a monolith.
Philip Rutherford, director of operation at Faces and Voices Recovery, pointed out that it's not just enough to prioritize diversity in data sets; the people in charge of training the algorithm must also not be homogenous.
"If we want diversity in our data, we have to seek diversity in the people that are collecting the data," said Rutherford.
The committee called on the FDA to take a strong role in addressing algorithmic bias in artificial intelligence and machine learning.
"At the end of the day, diversity validation and unconscious bias … all these things can be addressed if there's strong leadership from the start," said Conway.
Kat Jercich is senior editor of Healthcare IT News.Twitter: @kjercichEmail: [email protected] IT News is a HIMSS Media publication.
Topics: Artificial Intelligence, Government & Policy, Medical Devices, Patient Engagement, Population Health
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| FDA highlights the need to address bias in AI | FDA highlights need address bias AI Healthcare IT News Skip main content Google Tag Manager Email The latest news Healthcare IT straight inbox. News Global Edition daily News Global Edition weekly News Asia Pacific Edition twicemonthly News EuropeUK Edition twicemonthly News Australia Edition weekly Telehealth Connection weekly Cybersecurity Checkup twicemonthly Women Health IT twicemonthly Government Policy twicemonthly Thank subscribing Error Something went wrong Toggle navigation Main Menu Topics Video Analytics Artificial Intelligence Cloud Computing EHR Government Policy Interoperability Patient Engagement Population Health Precision Medicine Privacy Security Telehealth Women In Health IT Regions Asia Pacific EMEA Global Edition Global EditionMedical DevicesFDA highlights need address bias AI At meeting agencys Patient Engagement Advisory Committee, officials stressed necessity ensuring theres diversity data train algorithms.By Kat JercichOctober 22, 202004:56 PM The U.S. Food Drug Administration Thursday convened public meeting Patient Engagement Advisory Committee discuss issues artificial intelligence machine learning medical devices. Devices AI ML technology transform healthcare delivery increasing efficiency key processes treatment patients, said Dr. Paul Conway, PEAC chair chair policy global affairs American Association Kidney Patients. As Conway noted panel, AI ML systems algorithmic biases lack transparency potentially leading, turn, undermining patient trust devices. Medical device innovation ramped response COVID19 crisis, Center Devices Radiological Health Director Dr. Jeff Shuren noting 562 medical devices granted emergency use authorization FDA. Its imperative, said Shuren, patients needs considered creation process. We continue encourage members healthcare ecosystem strive understand patients perspective proactively incorporate medical device development, modification evaluation, said Shuren. Patients truly inspiration work do. Despite global challenges COVID19 public health emergency ... patients voice wont stopped, Shuren added. And anything, reason heard. However, said Pat Baird, regulatory head global software standards Philips, facilitating patient trust means acknowledging importance robust accurate data sets. To help support oru patients, need familiar them, medical conditions, environment needs wants, able better understand potentially confounding factors drive trends collected data, said Baird. An algorithm trained subset population relevant different subset, Baird explained. For instance, hospital needed device serve population seniors Florida retirement community, algorithm trained recognizing healthcare needs teens Maine effective population needs. This bias data intentional, hard identify, continued. He encouraged development taxonomy bias types publicly available. Ultimately, said, people wont use dont trust. We need use collective intelligence help produce better artificial intelligence populations, said. Captain Terri Cornelison, chief medical officer director health women CDRH, noted demographic identifiers medically significant genetics social determinants health, factors. Science showing categorical identifiers actually clinically relevant, Cornelison said. She pointed clinical study identify patients sex mask different results people different chromosomes. In instances, AI ML devices learning worldview narrow focus, particularly available training data, available training data represent diverse set patients, said. More simply, AI ML algorithms represent data include you, said. Advances artificial intelligence transforming health systems daily lives, Cornelison continued. Yet despite significant achievements, ignore sex, gender, age, race [and] ethnicity dimensions contributions health adn disease differences individuals. The committee examined informed consent play role algorithmic training. If I consent treated AIML device, I right know patients like ... data set, said Bennet Dunlap, health communications consultant. I think FDA accepting approving medical device patient engagement kind outlined committee meetings, continued. You need know data going for, reiterated. I white privilege. I assume old white guys [the data sets]. Thats everybody starts. But case. Dr. Monica Parker, assistant professor neurology education core member Goizueta Alzheimers Disease Research Center Emory University, pointed diversifying patient data requires turning trusted entities communities. If people developing devices, broadly diverse, question things tested? She raised issue testing taking place academic medical centers technology centers East West Coast, versus realworld data collection hospitals variation device disease process. Clinicians serving population device needed provide accountability device developer better sense theyre treating, Parker said. She reminded fellow committee members members different demographic groups monolith. Philip Rutherford, director operation Faces Voices Recovery, pointed prioritize diversity data sets; people charge training algorithm homogenous. If want diversity data, seek diversity people collecting data, said Rutherford. The committee called FDA strong role addressing algorithmic bias artificial intelligence machine learning. At end day, diversity validation unconscious bias things addressed theres strong leadership start, said Conway. Kat Jercich senior editor Healthcare IT News.Twitter: kjercich IT News HIMSS Media publication. Topics:Artificial Intelligence, Government Policy, Medical Devices, Patient Engagement, Population Health More regional news Healthway Medical Group integrates primary specialist clinics teleconsult appBy Dean KohOctober 22, 2020 ChristianaCare develops new Alexa Skill home health patientsBy Kat JercichOctober 22, 2020 Norton Womens Childrens Hospital Kentucky. Norton Healthcare integrates Epic PDMP tools, cuts opioid Rx halfBy Bill SiwickiOctober 22, 2020 Want stories like one? Get daily news updates Healthcare IT News. Your subscription saved. Something went wrong. Please try again. Related Content Top Story Norton Womens Childrens Hospital Kentucky. Norton Healthcare integrates Epic PDMP tools, cuts opioid Rx half Most Read Penn Medicine gets 2.5M study RPMs effect COVID19 disparities Maine health embraces telehealth, looks policy clarity FDA issues emergency use authorization plasma COVID19 treatment First component VA EHR modernization goes live Ohio Patients 2.0: Navigating life cure Health tech company Emme launches birth control tracking smart case app Research White PapersMore Whitepapers Cloud ComputingHIPAACompliant Cloud: Avoid 7 Deadly Sins Privacy SecuritySimplifying Security SoftwareasaService InteroperabilityMassive Interoperability: HighPerformance Data Sharing Scale WebinarsMore Webinars Quality SafetyFactors Successful COVID19 Vaccination Program Privacy SecurityEstablishing Security Cloud Healthcare Solutions Artificial IntelligenceEnabling AIPowered Clinical Decision Support: View C Seats Video Telehealth bridging gap behavioral health patients Siloed approaches social determinants health arent HIMSS digital maturity models aid transformations HIMSS committee helping healthcare orgs, policymakers improve health equity More Stories Christian Counseling Associates Plano, Texas. At practice, clients telehealth appointments inperson ones HIMSS committee helping healthcare orgs, policymakers improve health equity AI machine learning: A gift, curse, cybersecurity Hey Cerner: Company seeks health systems help test new Voice Assist tech Changing landscape digital dermatology Healthcare Csuite bullish AI, telehealth Portland Community Health Center Maine From Zoom EHRintegrated telemedicine 245,000 Advances detecting, treating breast cancer More News MobiHealthNews Healthcare Finance News Healthcare Payers News Healthcare IT News Australia The Daily Brief Newsletter News Global Edition daily News Global Edition weekly News Asia Pacific Edition twicemonthly News EuropeUK Edition twicemonthly News Australia Edition weekly Telehealth Connection weekly Cybersecurity Checkup twicemonthly Women Health IT twicemonthly Government Policy twicemonthly Hidden field Thank subscribing Error Something went wrong Digital EventMachine Learning AI Healthcare: Driving outcomes innovationBoston December 12, 2020Learn More Digital EventHealthcare Security Forum: Strategic. Practical. All About [Healthcare] SecurityBoston Dec. 78, 2020Learn More Footer Menu About Advertise Reprints Healthcare IT News Australia 2020 Healthcare IT News publication HIMSS Media X Topics Video Analytics Artificial Intelligence Cloud Computing EHR Government Policy Interoperability Patient Engagement Population Health Precision Medicine Privacy Security Telehealth Women In Health IT Career In Person Events Jobs Learning Center Research Papers Webinars More About Advertise Special Projects Slideshows Video InPerson Events Regions Asia Pacific EMEA Global Edition The Daily Brief Newsletter Get daily news updates Healthcare IT News. Your subscription saved. Something went wrong. Please try again. form Top Stories Norton Womens Childrens Hospital Kentucky. Norton Healthcare integrates Epic PDMP tools, cuts opioid Rx half ChristianaCare develops new Alexa Skill home health patients Siloed approaches social determinants health arent | 2,020 | [
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] | 1 | POSITIVE | 447 |
https://dailyscience.me/2020/04/22/global-intravascular-stent-market-anticipated-grow-at-a-cagr-of-xx-over-the-forecast-period-2020-2025-cordis-biotronik-boston-scientific-cook-medical-w-l-gore-associates-c-r-bard-2/ | 2020-04-22T00:00:00 | en | Global Intravascular Stent Market anticipated grow at a CAGR of xx% over the forecast period 2020-2025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore & Associates, C.R. Bard – Science Market Reports |
Global Intravascular Stent Market anticipated grow at a CAGR of xx% over the forecast period 2020-2025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore & Associates, C.R. Bard – Science Market Reports
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Global Intravascular Stent Market anticipated grow at a CAGR of xx% over the forecast period 2020-2025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore & Associates, C.R. Bard
April 22, 2020
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The research repot of Intravascular Stent Market presents the in the depth analysis on the basis of different parameters. The research report on Global Intravascular Stent Market includes various segments. The study report presents the market overview as market size, revenue, share, forecast and market drivers. In addition, report offers an in depth analysis about the product scope and market opportunities and market risks for the participants. The report contains various subjects. Reports provides the description about the profile of the top manufacturers of the Global Intravascular Stent Market. Also the information about market price, revenue, sales analysis and market Global market share from the base year 2019 to 2025 is provided.
This study covers following key players:
CordisBiotronikBoston ScientificCook MedicalW.L. Gore & AssociatesC.R. BardTerumoAbbott LaboratoriesB. Braun MelsungenMedtronic
Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4564399?utm_source=Pooja
In this report, Market driving forces along with the market risks are presented. The market is segmented on the basis of application and market share & market growth rate by product type. Market breakdown data are shown on the regional and country level to present the sales and revenue of the market in the world. Competitive situation of the vendors is presented and analysed emphatically by landscape contrast. This section is important as it sheds light on the sales growth of various country level and regional level Global Intravascular Stent Market. Furthermore, study report provides an analysis for the consumers to break the sales data at the country level across the globe.
In addition, the research report on Global Intravascular Stent Market gives the in depth analysis of data source, appendix, research findings, customers, distributors, sales channel and conclusion of the market. Furthermore, reports presents come key drivers which contribute to the growth of the Global Intravascular Stent Market. In addition, report provides some key reasons which can hamper the growth of the market during the forecast period. Thus study offers the growth estimation of the market on the basis of calculation by various segmentation and past and current data. This way research report can help the consumers to take the strategic initiatives for their growth in the Intravascular Stent industry.
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Market segment by Type, the product can be split into
Support TypeTreatment Type
Market segment by Application, split into
Coronary Heart DiseaseCerebrovascularGreat ArteryOthers
Moreover, the study report presents the company profiles of players functioning in the market as well as the new entrants for the competition. Thus the competitive landscape provides the detailed information about the company with total revenue, Global presence, market potential and sales analysis of each player participating in the industry. Thus the report is beneficial for any client to expand the market growth in this industry by studying every segment covered in this research report.
Some TOC Points:
1 Industry Overview of Intravascular Stent2 Major Manufacturers Analysis of Intravascular Stent3 Global Price, Sales and Revenue Analysis of Intravascular Stent by Regions, Manufacturers, Types and Applications…Continued
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Some TOC Points:1 Scope of the Report2 Executive Summary3 Global Intravascular Stent by Company4 Intravascular Stent by Regions…Continued
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| Global Intravascular Stent Market anticipated grow at a CAGR of xx% over the forecast period 2020-2025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore & Associates, C.R. Bard | Global Intravascular Stent Market anticipated grow CAGR xx forecast period 20202025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore Associates, C.R. Bard Science Market Reports Science Market Reports Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Global Intravascular Stent Market anticipated grow CAGR xx forecast period 20202025 :Cordis, Biotronik, Boston Scientific, Cook Medical, W.L. Gore Associates, C.R. Bard April 22, 2020 No Comments The research repot Intravascular Stent Market presents depth analysis basis different parameters. The research report Global Intravascular Stent Market includes segments. The study report presents market overview market size, revenue, share, forecast market drivers. In addition, report offers depth analysis product scope market opportunities market risks participants. The report contains subjects. Reports provides description profile manufacturers Global Intravascular Stent Market. Also information market price, revenue, sales analysis market Global market share base year 2019 2025 provided. This study covers following key players: CordisBiotronikBoston ScientificCook MedicalW.L. Gore AssociatesC.R. BardTerumoAbbott LaboratoriesB. Braun MelsungenMedtronic Request sample report @ In report, Market driving forces market risks presented. The market segmented basis application market share market growth rate product type. Market breakdown data shown regional country level present sales revenue market world. Competitive situation vendors presented analysed emphatically landscape contrast. 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Access Complete Report @ Market segment Type, product split Support TypeTreatment Type Market segment Application, split Coronary Heart DiseaseCerebrovascularGreat ArteryOthers Moreover, study report presents company profiles players functioning market new entrants competition. Thus competitive landscape provides detailed information company total revenue, Global presence, market potential sales analysis player participating industry. Thus report beneficial client expand market growth industry studying segment covered research report. Some TOC Points: 1 Industry Overview Intravascular Stent2 Major Manufacturers Analysis Intravascular Stent3 Global Price, Sales Revenue Analysis Intravascular Stent Regions, Manufacturers, Types ApplicationsContinued For Enquiry buying report @ Some TOC Points:1 Scope Report2 Executive Summary3 Global Intravascular Stent Company4 Intravascular Stent RegionsContinued :Orbis Research single point aid market research requirements. 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Us:Hector CostelloSenior Manager Client Engagements4144N 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 Carboxymethyl Starch Market anticipated grow CAGR xx forecast period 20202025 :Patel Industries, Adachi Group, Sunray International, Maple Biotech, SPAC Startch, Guangtong Cellulose April 22, 2020 Global Poly Anionic Cellulose PAC Market anticipated grow CAGR xx forecast period 20202025 :DuPont, Jiangsu Licheng, Akzonobel, GDFCL, Prince Energy, Ashland April 22, 2020 Global Sodium Carboxy Methyl Starch Market anticipated grow CAGR xx forecast period 20202025 :Patel Industries, Adachi Group, Huzhou Zhanwang Pharmaceutical, Shandong Liaocheng E Hua Pharmaceutical, Shandong Dongda Commerce, Qufu Yaoyong Accessories April 22, 2020 Post navigation Trailer Brake Controllers Market Size, Share Growth, Trends, Devices, Applications, Competitive Analysis, Industry Expansion Strategies, By 2027 Global Diet Pill Market anticipated grow CAGR xx forecast period 20202025 :HERBALIFE, CPT, Bishengyuan, GNC, BYHEALTH, Enzhi yaoye About contact About Disclaimer Our Writers Recent Posts Coronavirus COVID19 Business Impact Growing Focus RD Likely Accelerate Growth Pressure Filter Market 2018 2028 How Coronavirus Impacting Paperboard Jars Market Growth Opportunity Industry Revenue Analysis Major Players, 20192026 How Coronavirus Pandemic Will Impact Research report covers Barbecue Grills Market Forecasts Growth, 20192035 Retail RFID Security Tags Market Emerging Technologies Innovation Future Statistics 2026: Key Players Avery Dennison, SMARTRAC, SML Group, ZIH, CoreRFID, GlobeRanger, GAO RFID, Honeywell International, Impinj, Mojix, OmniID, ORBCOMM Automotive Armrest Market Impact COVID19 Revenue, Trends, Business Outlook And Forecasts 2027 Grammer AG, Adient, Ningbo Jifeng Proton Therapy Solutions Market 2020 Global Analysis, Size, Trends, Share, Growth Insight, Leading Players Varian,IBA,Hitachi,ProNova Solutions,Mitsubishi Electric,Sumitomo Heavy Industries,ProTom International,Mevion How Coronavirus Impacting Audiological Equipment Market Analysis Demand With Forecast Overview 2039 Coronavirus business impact: Ceramic Filtration Membrane Market 2025 Growth Opportunities, Top Key Players, Industry Outlook Global Two Wheeler Loans Market 20192025 Top key players IDFC First Bank, HDFC Bank, ICICI Bank, TATA Capital, Kotak Mahindra Bank, IndusInd Bank, Fullerton India, Bajaj FinServ, SBI Bank Axis Bank, Citibank, Home First Finance Company HFFC Pharmaceutical Asset Management Market Growing Opportunity And Adoption Of Innovative Trends Offerings To New Investment Opportunities GE Healthcare,Allscripts,Epic System,IBM Corporation,McKesson Corporation,Cerner Corporation,Siemens Healthcare ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020 | 2,020 | [
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https://dagorettinews.com/swot-analysis-of-legal-ai-software-market-2020-to-2027-ibm-us-opentext-us-thomson-reuters-us-veritone-us/ | 2020-01-25T00:00:00 | en | SWOT Analysis of Legal AI Software Market (2020 To 2027) | IBM (US), OpenText (US), Thomson Reuters (US), Veritone (US) – Dagoretti News |
SWOT Analysis of Legal AI Software Market (2020 To 2027) | IBM (US), OpenText (US), Thomson Reuters (US), Veritone (US) – Dagoretti News
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SWOT Analysis of Legal AI Software Market (2020 To 2027) | IBM (US), OpenText (US), Thomson Reuters (US), Veritone (US)
January 25, 2020
contrivedatuminsights
Biology
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A new informative report on the global Legal AI Software Market titled as, Legal AI Software has recently published by Contrive Datum Insights to its humongous database which helps to shape the future of the businesses by making well-informed business decisions. It offers a comprehensive analysis of various business aspects such as global market trends, recent technological advancements, market shares, size, and new innovations. Furthermore, this analytical data has been compiled through data exploratory techniques such as primary and secondary research. Moreover, an expert team of researchers throws light on various static as well as dynamic aspects of the global Legal AI Software market.
For Sample Copy of Reports: www.contrivedatuminsights.com/Home/RequestaSample/3581
The global Legal AI Software market was xx million US$ in 2018 and is expected to xx million US$ by the end of 2026, growing at a CAGR of xx% between 2019 and 2026.
The Top Key Players include: IBM (US), OpenText (US), Thomson Reuters (US), Veritone (US), ROSS Intelligence (US), Luminance (US), LexisNexis (US), Neota Logic (US), Everlaw (US), Legalsifter (US), Pensieve (India), Cognitiv+ (UK), Casetext (US), Klarity (US), Omni Software Systems (US), Nalanda Technology (UK), LawGeex (Israel), Kira (US), and CaseMine (India) and Others.
Global Legal AI Software market competition by top manufacturers/players, with Legal AI Software sales volume, Price (USD/Unit), revenue (Million USD) and market share for each manufacturer/player. The report provides an in-depth analysis of the Global Legal AI Software Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. various organizations can load their crucial information, and increase productivity and efficiency. In addition, the solutions are proven to be reliable and improve scalability.
Geographically, the global Legal AI Software market has been analyzed in various regions such as North America, Latin America, Middle East, Asia-Pacific, Africa, Europe, and India. The global Legal AI Software region is dominating this market in the upcoming future. The global Legal AI Software market is the professional and accurate study of various business perspectives such as major key players, key geographies, divers, restraints, opportunities, and challenges. This global research report has been aggregated on the basis of various market segments and sub-segments associated with the global market.
Get Special Discount: www.contrivedatuminsights.com/Home/GetSpecialPricing/3581
The study objectives of global market research report:
To analyze the global Legal AI Software market on the basis of several business verticals such as drivers, restraints, and opportunities
It offers detailed elaboration on the global competitive landscape
To get an informative data of various leading key industries functioning across the global regions
It offers qualitative and quantitative analysis of the global Legal AI Software market
It offers all-inclusive information of global market along with its features, applications, challenges, threats, and opportunities
The report’s conclusion leads into the overall scope of the global market with respect to feasibility of investments in various segments of the market, along with a descriptive passage that outlines the feasibility of new projects that might succeed in the global Legal AI Software market in the near future. The report will assist understand the requirements of customers, discover problem areas and possibility to get higher, and help in the basic leadership manner of any organization. It can guarantee the success of your promoting attempt, enables to reveal the client’s competition empowering them to be one level ahead and restriction losses.
Different questions addressed through this research report:
What are the influencing factors for the growth of the global market?
What are the major drivers and restraints of this market?
What will be the market size in the forecast period?
Which regions are most demanding in terms of production and consumption?
What are the key outcomes of industry analysis techniques?
What are the major key players in this market?
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 Legal AI Software Market Analysis, Trends, Growth Factor
Chapter 5 Legal AI Software Market Application and Business with Potential Analysis
Chapter 6 Global Legal AI Software Market Segment, Type, Application
Chapter 7 Global Legal AI Software Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of Legal AI Software Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion
For More Information: www.contrivedatuminsights.com/Home/ProductReport/Global-Legal-AI-Software-Market-Size,-Growth,-Industry-Analysis-and-Forecast-2019-To-2026=3581
Any special requirements about this report, please let us know and we can provide custom report.
Author Recent Posts contrivedatuminsights Latest posts by contrivedatuminsights (see all) SWOT Analysis of Enterprise Network Firewalls Market (2020 To 2027) | Fortinet, Cisco, Palo Alto Networks, Check Point Software - January 25, 2020 SWOT Analysis of Virtual IT Labs Software Market (2020 To 2027) | AWS, CloudShare, Oracle, Azure - January 25, 2020 SWOT Analysis of IT Process Automation (ITPA) Market (2020 To 2027) | SMA Solutions, Advanced Systems, Concepts, VMware - January 25, 2020 and CaseMine (India) and Others.Casetext (US)Cognitiv+ (UK)Everlaw (US)IBM (US)Kira (US)Klarity (US)LawGeex (Israel)Legalsifter (US)LexisNexis (US)Luminance (US)Nalanda Technology (UK)Neota Logic (US)Omni Software Systems (US)OpenText (US)Pensieve (India)ROSS Intelligence (US)Thomson Reuters (US)Veritone (US)
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https://www.fenews.co.uk/featured-article/52990-artificial-intelligence-how-grade-inflation-induces-devaluation-in-intellectual-assets | 2020-11-17T00:00:00 | en | Artificial Intelligence: How Grade Inflation Induces Devaluation in Intellectual Assets |
Artificial Intelligence: How Grade Inflation Induces Devaluation in Intellectual Assets
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Artificial Intelligence: How Grade Inflation Induces Devaluation in Intellectual Assets
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Race To The Bottom
The Series: This is the second of a four-part series on university #GradeInflation; we’ll explore the evidence, the underlying causes, the defence by universities and the possible ways to resolve the problem.
This one is about the defence by universities.
The graphs in the first of this series of four articles conclusively demonstrated the extent of university grade inflation across all universities.
Although the trend had been steadily upward over a sustained period, a sharp rise in ‘good’ degrees occurred between 2010 and 2016, fuelled by the number of firsts dished out.
The top 10 universities responsible for the biggest increase in firsts are shown in the diagram below, presented in comparison to the contagious increase across all universities in turquoise.
The biggest culprit, Surrey, now awards the second highest number of firsts of all universities in the UK, just below Imperial at around 50%.
The question is: would you not prefer to go to a university with a better reputation than Surrey if you are capable of getting a first?
The Winners and The Losers
My alarm was augmented by seeing alerts on LinkedIn and hearing proud parents talking about the success of their kids. “Oh, little Jonty got a first in __________ from ________ uni.” (fill in the blanks, could be anything, could be anywhere!). Ok, so little Jonty feels good about himself, well done, and the parents feel they’ve given birth to a prodigy, but, in the bigger picture, what’s going on?
Is everyone a winner?
The universities themselves certainly seem to benefit; they’re coining it in. Not only have they experienced record numbers of paying UK and lucrative international students crossing the threshold, but the trend doesn’t look like reversing.
And, as their mesmerizingly extensive suite of undergraduate products is becoming less and less of a differentiator, more and more students are having to do the ‘panic masters’ to supplement the CV, hopefully at the same institution; this way the young people stay on the hook as a student for longer. Kerching!
This is great for businesses…...the education businesses.
So then, prodigious students are gloating, proud parents are delighted, school alumni compilers are lovin’ it, uni bursars are rubbing their grubby hands, vice-chancellors are driving Range Rovers, government stats look great. Looks like everyone’s a winner.
Superficially, it might seem so….in the short-term.
Damien Hinds, remember him?, spotted the problem a while back: “Artificial grade inflation is not in anyone’s interests.” He’s gone now and, although recognising the problem, the Government intervenes in glacial ways.
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Careers Strategy 2020 due to be published very soon In each of the fou
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Pretty much every part of people’s lives has been affected by the C
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Qube Learning founder, Gavin Whichello, who made the training provider
What he actually meant was; there are a number of losers, in fact, pretty much everyone.
Firstly, after the initial euphoria has subsided and the insta-stories have faded, the graduates from the universities who are throwing out firsts and two-ones like confetti at a wedding feel that all their hard work and effort has been devalued by the comparable qualifications flooding the market…..artificially.
I certainly feel like that. How do you make yourself stand out now?
Companies, like Jeremy’s (my HR friend mentioned in the first article), looking to recruit graduates, are now faced with the impossible task of searching through mountains of applications adorned with stellar qualifications, not knowing if they’re any good, and how to compare History at Bath with Economics at Cardiff Met.
So, Instead, they make up new criteria, changing the goalposts in the middle of your game.
A number of sophisticated recruiters, such as EY, who are swamped with 37,000 CVs every year, are going down the road of qualification-free, ‘let’s-meet-the-real-you’, ‘blind’ CVs; if employers don’t want to look at your qualifications or don’t trust them, then Jeremy has a point and it is: ‘what’s the point?’
The thing is, inflation destroys value.
The universities would do well to heed Konrad Heiden’s observation about life in the Weimar Republic:
“At the outset, the masses misinterpreted it as nothing more than a scandalous rise in prices. Only later, under the name of inflation, the process was correctly comprehended as the downfall of money.”
It’s gonna end in tears.
But, Sir, Standards Are Higher Now
The universities fight their corner and claim that there are three main reasons for the increases in higher degrees awarded:
1. Students work harder nowadays
it’s really difficult to compare how diligent students are today compared with 40 years ago.
Back then lecturers wrote on the latest high-tech revolving blackboard with chalk. Not only did you struggle to understand the topic, but you couldn’t read the scrawl either! If you missed lectures, as I often did, you had to deal with the ramifications of triple compounding from copying up the notes from a friend with elusive calligraphy.
On a specific topic, the library would usually hold only one text which you had to book out at an anointed hour and read it fast. Networking was crucial; these were the days before the internet, so corroboration of facts usually involved chatting to a nerdy friend down the pub.
In my year there were no past papers either, so you had to make an educated guess as to what might come up. Quaint and stressful, it meant that my strongest take-aways from a ‘university education’ back in the day were that you had to be good at problem-solving and learn how to learn by yourself.
Nowadays, students have a much clearer picture of what’s expected in terms of work and desired outcome, all this is good progress, however, what comes with that is the pressure and the associated mental health problems. Awareness of the mental health support means that the back-stop of being able to retake modules and submit EC (Extenuating Circumstances) forms helps but unfortunately leads to gaming of the system.
2. Better calibre of students enter universities
Grade inflation at A level has meant that the A* grade at the top end had to be introduced to determine the top 5% of students, so it might appear that ‘higher calibre’ students are entering universities. But you’re just changing Cruzados to Cruzeiros.
In contradiction to that, there is strong evidence of a reversal of the Flynn Effect, named after the academic who found that each generation of young people had improved intellectually from the previous one up until the 1970s.
This is not just in the UK either. In addition, a study by Coe of Durham University found from standardised tests that the sort of students who got Ds and Es at A level in the late 1980s, got Bs and Cs in the mid-2000s.
Over the same period, UK students had not improved significantly on any international metric, such as the PISA, nor since.
On top of that, the Office For Students' research, see the chart below, has found that more and more students with lower A level entry grades have been attaining good degrees over the past decade.
There has been a very clear upshift (green to purple) in candidates with lower A level grades. And yet, many schools and universities claim that a ‘C’ isn’t university currency. Drilling down, for students with two Cs and a D, the proportion of firsts rose from 14 to 21 per cent between 2014 and 2017.
Throw into the mix the fact that I hear story after heroic story of people turning it round from poor A level experience to landing a whopper at university. Don’t get me wrong, I’m all in favour of redemption tales and second chances, but we have just witnessed a huge increase in students getting two-ones and firsts with low A level grades.
The sharp improvements raise serious doubts about whether students are getting better degree results because they are higher quality. This season’s latest fashion, the must-have conditional unconditional offer, has risen to 38% of all offers, on the pretext of ‘taking the pressure off’, but looking more and more like a strategy of ‘getting bums on seats’. It all starts to look very suspicious.
3. Teaching has improved
A lot of the lectures are online these days and, from what I hear on the grapevine, most students prefer these to attending ‘in the flesh’, sardined into a lecture hall with coughing, spluttering and texting peers. I’ve viewed a number of these lectures and I don’t believe that ‘death by Powerpoint’ is a good experience nor teaching excellence.
However, ‘teaching to the exam’, nudge, nudge, wink, wink, say no more, might appear like ‘good teaching’ to the students. University should be an opportunity to listen to world-leading experts in their field talk about what they have a passion for, should it not?
Sheffield Hallam has been voted top teaching university by The Times; Professor Sir Chris Husbands, Vice-Chancellor says “… to give our students a truly exceptional learning experience. It reflects the success of our determination to respond to student feedback to drive continuous improvement.”
So then, the strategy is give the students what they want. Hallam has moved up the Guardian rankings from 85th to 55th in a few years, 'student satisfaction' being the rocket fuel for this propulsion.
Hold on a minute! All three of these points are unconvincing and do not seem to explain such a rapid rise
Even the Government has commented that the steep rise in grades is ‘unjustified’ and ‘unexplained’. Are there sinister forces at play?
Well, in contrast to what the universities are saying, there is strong evidence that the increase in proportion of good degree classifications in the UK may be due to: the modularisation of degree programmes, changes in assessment methods, pressures on universities to improve their league table position, or simply a reflection of a fall in educational standards. Ouch!
The universities are in a no-win situation; better grades allegedly equal higher standards and successful policy implementation, whereas reducing or static grades might look like falling standards; if that happened then you might have to do something about it and heads would roll.
This inflationary spiral suits everyone…for now.
Neil Wolstenholme, Chairman, Kloodle
In the next article, the third in this series, we’ll look at the contributory factors to this grade boom.You are now being logged in using your Facebook credentials
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| Artificial Intelligence: How Grade Inflation Induces Devaluation in Intellectual Assets | Artificial Intelligence: How Grade Inflation Induces Devaluation Intellectual Assets How resolve issue? You adblocker support whitelisting ... Now , Social Media account: Log ?? .uk The Voice FE How resolve issue? You adblocker support whitelisting Home A Newsroom FE Thought Leadership Community Invite Colleagues Publish Style Guide Publish Press Release Thought Leadership Article Publish Course Event Publish Video Publish Photos Articles Newsrooms Channels Features Exclusive Articles Featured Voices FE Weekly Soundbite Video Podcasts SkillsWorldLive Radio Show Latest Video Video Articles Add Video Latest Podcasts podcast updates Sector News Latest News Resources Information SectorShare Free Resources Events Events Webinars Bulk Import Events Jobs Executive Appointments Browse Latest Jobs Advertise FE News Media Pack Advertise FE News Executive Job Advertising Event Filming FE Careers Advertise jobs FE Job Advertising Rate Card Browse Jobs Artificial Intelligence: How Grade Inflation Induces Devaluation Intellectual Assets Email Details Neil Wolstenholme Neil Wolstenholme Articles 16 Photos 3 Videos 0 Channels 0 Events 0 Follow Send Message Published: 20 August 2020 Hits: 3870 User Rating:55 Please Rate Vote 1 Vote 2 Vote 3 Vote 4 Vote 5 How resolve issue? You adblocker support whitelisting Race To The Bottom The Series:This second fourpart series university GradeInflation; explore evidence, underlying causes, defence universities possible ways resolve problem. This defence universities. The graphs series articles conclusively demonstrated extent university grade inflation universities. Although trend steadily upward sustained period, sharp rise good degrees occurred 2010 2016, fuelled number firsts dished out. The 10 universities responsible biggest increase firsts shown diagram below, presented comparison contagious increase universities turquoise. The biggest culprit, Surrey, awards second highest number firsts universities UK, Imperial 50. The question is: prefer university better reputation Surrey capable getting first? The Winners The Losers My alarm augmented seeing alerts LinkedIn hearing proud parents talking success kids. Oh, little Jonty got __________ ________ uni. blanks, anything, anywhere. Ok, little Jonty feels good himself, done, parents feel theyve given birth prodigy, but, bigger picture, whats going on? Is winner? The universities certainly benefit; theyre coining in. Not experienced record numbers paying UK lucrative international students crossing threshold, trend doesnt look like reversing. And, mesmerizingly extensive suite undergraduate products differentiator, students panic masters supplement CV, hopefully institution; way young people stay hook student longer. Kerching This great businesses...the education businesses. So then, prodigious students gloating, proud parents delighted, school alumni compilers lovin it, uni bursars rubbing grubby hands, vicechancellors driving Range Rovers, government stats look great. Looks like everyones winner. Superficially, so.in shortterm. Damien Hinds, remember him?, spotted problem back: Artificial grade inflation anyones interests. Hes gone and, recognising problem, Government intervenes glacial ways. How resolve issue? You adblocker support whitelisting Featured Article Careers Strategy 2020 published soon In fou Featured Article Pretty peoples lives affected C Featured Article Qube Learning founder, Gavin Whichello, training provider What actually meant was; number losers, fact, pretty everyone. Firstly, initial euphoria subsided instastories faded, graduates universities throwing firsts twoones like confetti wedding feel hard work effort devalued comparable qualifications flooding market..artificially. I certainly feel like that. How stand now? Companies, like Jeremys HR friend mentioned article, looking recruit graduates, faced impossible task searching mountains applications adorned stellar qualifications, knowing theyre good, compare History Bath Economics Cardiff Met. So, Instead, new criteria, changing goalposts middle game. A number sophisticated recruiters, EY, swamped 37,000 CVs year, going road qualificationfree, letsmeettherealyou, blind CVs; employers dont want look qualifications dont trust them, Jeremy point is: whats point? The thing is, inflation destroys value. The universities heed Konrad Heidens observation life Weimar Republic: At outset, masses misinterpreted scandalous rise prices. Only later, inflation, process correctly comprehended downfall money. Its gonna end tears. But, Sir, Standards Are Higher Now The universities fight corner claim main reasons increases higher degrees awarded: 1. Students work harder nowadays difficult compare diligent students today compared 40 years ago. Back lecturers wrote latest hightech revolving blackboard chalk. Not struggle understand topic, read scrawl If missed lectures, I did, deal ramifications triple compounding copying notes friend elusive calligraphy. On specific topic, library usually hold text book anointed hour read fast. Networking crucial; days internet, corroboration facts usually involved chatting nerdy friend pub. In year past papers either, educated guess come up. Quaint stressful, meant strongest takeaways university education day good problemsolving learn learn yourself. Nowadays, students clearer picture whats expected terms work desired outcome, good progress, however, comes pressure associated mental health problems.Awareness mental health support means backstop able retake modules submit EC Extenuating Circumstances forms helps unfortunately leads gaming system. 2. Better calibre students enter universities Grade inflation A level meant A grade end introduced determine 5 students, appear higher calibre students entering universities. But youre changing Cruzados Cruzeiros. In contradiction that, strong evidence reversal Flynn Effect, named academic generation young people improved intellectually previous 1970s. This UK either. In addition, study Coe Durham University standardised tests sort students got Ds Es A level late 1980s, got Bs Cs mid2000s. Over period, UK students improved significantly international metric, PISA, since. On that, Office For Students research, chart below, students lower A level entry grades attaininggood degrees past decade. There clear upshift green purple candidates lower A level grades. And yet, schools universities claim C isnt university currency. Drilling down, students Cs D, proportion firsts rose 14 21 cent 2014 2017. Throw mix fact I hear story heroic story people turning round poor A level experience landing whopper university. Dont wrong, Im favour redemption tales second chances, witnessed huge increase students getting twoones firsts low A level grades. The sharp improvements raise doubts students getting better degree results higher quality. This seasons latest fashion, musthaveconditional unconditionaloffer, risen 38 alloffers, pretext taking pressure off, looking like strategy getting bums seats. It starts look suspicious. 3. Teaching improved A lot lectures online days and, I hear grapevine, students prefer attending flesh, sardined lecture hall coughing, spluttering texting peers. Ive viewed number lectures I dont believe death Powerpoint good experience teaching excellence. However, teaching exam, nudge, nudge, wink, wink, more, appear like good teaching students. University opportunity listen worldleading experts field talk passion for, not? Sheffield Hallam voted teaching university The Times; Professor Sir Chris Husbands, ViceChancellor says students truly exceptional learning experience. It reflects success determination respond student feedback drive continuous improvement. So then, strategy students want. Hallam moved Guardian rankings 85th 55th years, student satisfaction rocket fuel propulsion. Hold minute All points unconvincing explain rapid rise Even Government commented steep rise grades unjustified unexplained. Are sinister forces play? Well, contrast universities saying, strong evidence increase proportion good degree classifications UK to: modularisation degree programmes, changes assessment methods, pressures universities improve league table position, simply reflection fall educational standards.Ouch The universities nowin situation; better grades allegedly equal higher standards successful policy implementation, reducing static grades look like falling standards; happened heads roll. This inflationary spiral suits everyonefor now. Neil Wolstenholme,Chairman,Kloodle In article, series, look contributory factors grade boom.You logged Facebook credentials Prev Next You interested articles: Featured Article Careers Strategy 2020 published soon In fou Featured Article Pretty peoples lives affected C Featured Article Qube Learning founder, Gavin Whichello, training provider Featured Article Long pandemic started earlier year news Featured Article All eyes U.S election excitement, trepidati Featured Article A study Save The Student 96 students surveyed Featured Article The jobs crisis young people reaching tipping point Featured Article There fundamental paradox, contradiction, heart Featured Article WORKING CLASS KIDS HAVE BECOME THE REGIONS UNDERACHIEVERS AT SCHOO Featured Article British Values, democracy, individual liberty, rule law, mutual Featured Article FoA2020 My endpoint assessment reflections following Future Featured Article A year ago, anticipated environment op How resolve issue? 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https://www.channelnewsasia.com/news/business/japan-looks-to-ai-as-coronavirus-challenges-go-and-see-quality-control-mantra-13067864 | 2020-08-31T00:00:00 | en | Japan looks to AI as coronavirus challenges go-and-see quality control mantra - CNA |
Japan looks to AI as coronavirus challenges go-and-see quality control mantra - CNA
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Japan looks to AI as coronavirus challenges go-and-see quality control mantra
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Japan looks to AI as coronavirus challenges go-and-see quality control mantra
31 Aug 2020 11:40AM
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TOKYO: At a factory south of Japan's Toyota City, robots have started sharing the work of quality-control inspectors, as the pandemic accelerates a shift from Toyota's vaunted "go and see" system which helped revolutionise mass production in the 20th century.Inside the auto-parts plant of Musashi Seimitsu Industry Co Ltd, a robotic arm picks up and spins a bevel gear, scanning its teeth against a light in search of surface flaws. The inspection takes about two seconds - similar to that of highly trained employees who check around 1,000 units per shift.
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"Inspecting 1,000 of the exact same thing day-in day-out requires a lot of skill and expertise, but it's not very creative," Chief Executive Hiroshi Otsuka told Reuters. "We'd like to release workers from those tasks."Global manufacturers have long used robots in production while leaving the knotty work of spotting flaws mainly to humans. But social distancing measures to prevent the spread of COVID-19 have prompted a rethink of the factory floor.That has spurred the increased use of robots and other technology for quality control, including remote monitoring which was already being adopted before the pandemic.For a chart on global installations of manufacturing robots, click here https://tmsnrt.rs/34yOHYz.
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In Japan, such approaches represent an acute departure from the "genchi genbutsu", go-and-see methodology developed as part of the Toyota Production System and embraced by Japanese manufacturers for decades with almost religious zeal.That process tasks workers with constantly monitoring all aspects of the production line to spot irregularities, and has made quality control one of the last human hold-outs in otherwise automated factories.Yet even at Toyota Motor Corp itself, when asked about automating more genchi genbutsu procedures, a spokesman said: "We are always looking at ways to improve our manufacturing processes, including automating processes where it makes sense to do so."QUALITY DEMANDSImprovements in artificial intelligence (AI) have come in tandem with increasingly affordable equipment but also stricter quality requirements from customers. However, automating inspections is challenging, given the need to teach robots to identify tens of thousands of possible defects for a specific product and apply that learning instantly.Musashi Seimitsu's low defect rate of one per 50,000 units left the firm without enough defective examples to develop an efficient AI algorithm.But a solution came from Israeli entrepreneur Ran Poliakine, who applied AI and optics technology he had used in medical diagnostics to the production line.His idea was to teach the machine to spot the good, rather than the bad, by basing the algorithm on up to 100 perfect or near-perfect units - a modification of the so-called golden sample."If you look at human tissue, you are teaching an algorithm what is good and what is not good, and you only have one second to perform the diagnostic," he said.'ON STEROIDS'Since the breakthrough, Poliakine's startup SixAI and Musashi Seimitsu have established MusashiAI, a joint venture which develops and hires out quality control robots - a first in the field.Enquiries from automakers, parts suppliers and other firms in Japan, India, the United States and Europe have quadrupled since March when the novel coronavirus went global, Poliakine said."COVID-19 has accelerated the move. Everything is on steroids now, because working from home is showing that remote work can work," he said.For a chart on the five biggest users of manufacturing robots, click here https://tmsnrt.rs/3hxNlB1.Earlier this year, Italian auto parts maker Marelli, formerly Calsonic Kansei, also began using AI quality inspection robots at a plant in Japan, and told Reuters last month that it wanted AI to play a bigger role in quality inspections in the coming years.Printer maker Ricoh Co Ltd, plans to automate all of the production processes for drum units and toner cartridges at one of its Japan plants by March 2023. Robots perform most of the processes already, and since April, technicians have been monitoring equipment on the factory floor from home."Of course, you need to be on site to assess and execute solutions when issues come up, but identifying and confirming are tasks we can now do from home," said Kazuhiro Kanno, general manager at Ricoh's printer manufacturing unit.Musashi Seimitsu will not say when it envisions its factory floors to be fully automated, but Otsuka said AI stands to complement, not threaten, the go-and-see system."AI doesn't ask 'Why? Why?' but humans do. We're hoping to free them up to ask why and how defects occur," he said. "This will enable more people to look for ways to constantly improve production, which is the purpose of 'genchi genbutsu'."(Reporting by Naomi Tajitsu and Makiko Yamazaki; Additional reporting by Maki Shiraki and Noriyuki Hirata; Editing by David Dolan and Christopher Cushing)
Source: Reuters
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| Japan looks to AI as coronavirus challenges go-and-see quality control mantra | Japan looks AI coronavirus challenges goandsee quality control mantra CNA Skip Navigation Jump Main Main navigation Meta Navigation To Home Location Navigation Edition Selection Singapore Edition International Edition Meta Main Navigation My News Feed Bookmarks Watch TV CNA938 Live Sign User Menu Profile My News Feed My Topics Bookmarks Log meREWARDS Cashback S Coupons Surveys Sign meREWARDS lets coupon deals, earn cashback complete surveys, dine, travel shop partners OpenAll Sections All SectionsClose Section Navigation Title CNA938 CNA Lifestyle CNA Insider Singapore Asia World Commentary Business Sport Climate Change News Clips VOD Podcasts OpenAll Sections Business Japan looks AI coronavirus challenges goandsee quality control mantra Toggle share menu Jump OpenAll Sections Main Navigation Section Navigation Title Home CNA938 CNA Lifestyle CNA Insider Watch TV CNA938 Live Singapore Edition International Edition Compact Layout All Sections Close Singapore Asia World Commentary Business Sport Climate Change News Clips VOD Podcasts COVID19 Outbreak CNA Eyewitness Singapore Parliament Newsletters Interactives Telegram News Service Weather PSI Special Reports Facebook Twitter LinkedIn YouTube RSS Play Store App Store Advertisement Advertisement Advertisement Advertisement Japan looks AI coronavirus challenges goandsee quality control mantra Advertisement Business Japan looks AI coronavirus challenges goandsee quality control mantra 31 Aug 2020 11:40AM Share content Bookmark TOKYO: At factory south Japans Toyota City, robots started sharing work qualitycontrol inspectors, pandemic accelerates shift Toyotas vaunted helped revolutionise mass production 20th century.Inside autoparts plant Musashi Seimitsu Industry Co Ltd, robotic arm picks spins bevel gear, scanning teeth light search surface flaws. The inspection takes seconds similar highly trained employees check 1,000 units shift. Advertisement Advertisement Inspecting 1,000 exact thing dayin dayout requires lot skill expertise, creative, Chief Executive Hiroshi Otsuka told Reuters. Wed like release workers tasks.Global manufacturers long robots production leaving knotty work spotting flaws mainly humans. But social distancing measures prevent spread COVID19 prompted rethink factory floor.That spurred increased use robots technology quality control, including remote monitoring adopted pandemic.For chart global installations manufacturing robots, click Advertisement Advertisement In Japan, approaches represent acute departure genchi genbutsu, goandsee methodology developed Toyota Production System embraced Japanese manufacturers decades religious zeal.That process tasks workers constantly monitoring aspects production line spot irregularities, quality control human holdouts automated factories.Yet Toyota Motor Corp itself, asked automating genchi genbutsu procedures, spokesman said: We looking ways improve manufacturing processes, including automating processes makes sense so.QUALITY DEMANDSImprovements artificial intelligence AI come tandem increasingly affordable equipment stricter quality requirements customers. However, automating inspections challenging, given need teach robots identify tens thousands possible defects specific product apply learning instantly.Musashi Seimitsus low defect rate 50,000 units left firm defective examples develop efficient AI algorithm.But solution came Israeli entrepreneur Ran Poliakine, applied AI optics technology medical diagnostics production line.His idea teach machine spot good, bad, basing algorithm 100 perfect nearperfect units modification socalled golden sample.If look human tissue, teaching algorithm good good, second perform diagnostic, said.ON STEROIDSSince breakthrough, Poliakines startup SixAI Musashi Seimitsu established MusashiAI, joint venture develops hires quality control robots field.Enquiries automakers, parts suppliers firms Japan, India, United States Europe quadrupled March novel coronavirus went global, Poliakine said.COVID19 accelerated move. Everything steroids now, working home showing remote work work, said.For chart biggest users manufacturing robots, click year, Italian auto parts maker Marelli, Calsonic Kansei, began AI quality inspection robots plant Japan, told Reuters month wanted AI play bigger role quality inspections coming years.Printer maker Ricoh Co Ltd, plans automate production processes drum units toner cartridges Japan plants March 2023. Robots perform processes already, April, technicians monitoring equipment factory floor home.Of course, need site assess execute solutions issues come up, identifying confirming tasks home, said Kazuhiro Kanno, general manager Ricohs printer manufacturing unit.Musashi Seimitsu envisions factory floors fully automated, Otsuka said AI stands complement, threaten, goandsee system.AI doesnt ask Why? Why? humans do. Were hoping free ask defects occur, said. This enable people look ways constantly improve production, purpose genchi genbutsu.Reporting Naomi Tajitsu Makiko Yamazaki; Additional reporting Maki Shiraki Noriyuki Hirata; Editing David Dolan Christopher Cushing Source: Reuters Tagged Topics quality control Japan AI technology computing Share content Bookmark More stories Breaking News Alerts Be know COVID19 updates breaking news Singapore world. Invalid email addressIt looks like email address entered valid. Try Again This service intended persons residing EU. By clicking subscribe, I agree receive news updates promotional material Mediacorp Mediacorps partners. More information CNA jump Sections Singapore Asia World Commentary Business Sport Climate Change News Clips VOD Podcasts About CNA Hotel Partners Events Seminars Presenters Correspondents Us Mediacorp Digital Network Advertise Sales Online Advertising TV Advertising Be know COVID19 updates breaking news Singapore world TRY AGAIN This service intended persons residing EU. By clicking subscribe, I agree receive news updates promotional material Mediacorp Mediacorps partners. SUBSCRIBE Please enter email address Follow news Facebook Twitter LinkedIn YouTube RSS Experience news apps Play Store App Store Mediacorp 2020. Mediacorp Pte Ltd. . | 2,020 | [
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https://technoweekly.com/technologies/769989/artificial-intelligence-in-pharmaceutical-market-size-share-industrial-growth-status-and-global-outlook-2020-to-2028-2/ | 2020-11-05T00:00:00 | en | Artificial Intelligence in Pharmaceutical Market Size, Share, Industrial Growth Status and Global Outlook 2020 to 2028 – TechnoWeekly |
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Artificial Intelligence in Pharmaceutical Market Size, Share, Industrial Growth Status and Global Outlook 2020 to 2028
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““The global Artificial Intelligence in Pharmaceutical Market study offers a compilation of the current, historical, and future outlook of the industry as well as the factors responsible for market growth. With a SWOT analysis, the business study highlights the weaknesses, strengths, opportunities, and threats of each Artificial Intelligence in Pharmaceutical Market player in a comprehensive way.
Sample Copy of This Report: https://www.quincemarketinsights.com/request-sample-68802?utm_source=Arshad/tw
Under the COVID-19 outbreak analysis, this report provides analysis of import, supply chain, and export to future influence on the industry and regional government policies. Enterprise competition pattern, detailed analysis about market status, advantages and disadvantages of enterprise products, macroeconomic policies and regional industrial layout characteristics, industry development trends have also been included. The trends of product sales channel will be offered as well.
Considering COVID-19, this report offers a complete and exhaustive analysis on how the epidemic has pushed transformation and reform in the industry. The market study can help understand the market expansion and strategies for business accordingly. In the strategy analysis, it gives insights from market positioning marketing channel to potential growth strategies, thereby providing an in-depth analysis for new entrants or existing competitors in the Artificial Intelligence in Pharmaceutical industry.
Key Players: Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare.
The market analysis on the Artificial Intelligence in Pharmaceutical offers a bird’s eye view of the current proceeding within the Artificial Intelligence in Pharmaceutical Market. The market analysis report has incorporated an analysis of various factors that augment the markets growth. It constitutes restraints, trends, and drivers that transform the market in either a negative orpositive manner.
Artificial Intelligence in Pharmaceutical Market
Get ToC for the overview of the premium report @ https://www.quincemarketinsights.com/request-toc-68802?utm_source=Arshad/tw
This market analysis also offers the scope of different segments and applications that can actually impact the market in the future. The thorough information is based on present trends and historic milestones. The market analysis mentions the volume of sales by region from 2015 to 2026. A thorough evaluation of the limitations included in the market analysis portrays the drivers and gives room for strategic planning.
Global Artificial Intelligence in Pharmaceutical Market: Segment Analysis
Each type offers information about return sover the forecast period of 2018 to 2028. The sales method segment also offers revenue by volume and sales over the forecast period of 2018 to 2028. Understanding the segments helps in classifying the importance of various factors that support market growth.
Following are the segmentation covered by the market study: By Application (Diagnosis, Clinical trial research, Drug Discovery, R&D, Epidemic prediction), By End Users ( Hospitals, Clinical trial lab, Research institute)
Global Artificial Intelligence in Pharmaceutical Market: Regional Analysis
The market analysis report includes a thorough study of various factors that determine regional growth such as environmental, economic, social political status, technology, and region. Market analysis has studied the data of sales, revenue, and manufacturers of each region. The market analysis provides region-wise volume and revenue for the forecast period of 2016 to 2028. This market analysis will support the market participants to understand the potential worth of investment in a particular region.
Region- wise Analysis of the Global Artificial Intelligence in Pharmaceutical Market covers:
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
Make an Enquiry for purchasing this Report @ https://www.quincemarketinsights.com/enquiry-before-buying-68802?utm_source=Arshad/tw
Global Artificial Intelligence in Pharmaceutical Market: Competitive Landscape
This market analysis report classifies numerous key manufacturers of the industry. It supports the reader in understanding the policies and collaborations that the industry participants are focusing on in order to combat competition in the industry. The comprehensive market analysis offers a note worthy microscopic look at the industry. The market analysis can classify the footprints of the manufacturers by giving the global revenue of manufacturers and sales by manufacturers, and the global price of manufacturers over the forecast period of 2018 to 2028.
Major Aspects covered in the Report are –
An overview of the Artificial Intelligence in Pharmaceutical Market comprising production, consumption, status, and estimation and market growth.
• 2016-2028 historical data and market forecast.
• Overview of the product type market as well as development.
• Overview of the end-user market and development.
• Geographical analysis with major countries.
Further, the report provides niche insights for a decision about every possible segment, helping in the strategic decision-making process and market size estimation of the Artificial Intelligence in Pharmaceutical Market on a regional and global basis. Unique research designed for market size estimation and forecast is used for the identification of major companies operating in the market with related developments. The report has an exhaustive scope to cover all the possible segments, helping every stakeholder in the Artificial Intelligence in Pharmaceutical Market.
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
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| Artificial Intelligence in Pharmaceutical Market Size, Share, Industrial Growth Status and Global Outlook 2020 to 2028 | Artificial Intelligence Pharmaceutical Market Size, Share, Industrial Growth Status Global Outlook 2020 2028 TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Artificial Intelligence Pharmaceutical Market Size, Share, Industrial Growth Status Global Outlook 2020 2028 Biofilms Treatment Market Outlook Opportunities Grooming Regions : Edition 20202028 Desalination Systems Market Experience Significant Impact 2020 Influenced COVID19 Pandemic Network Video Recorder NVR Market Comprehensive Analysis By Technology Growth 2020, Leading Companies Honeywell, AXIS, Exacq, American Dynamics, TOSHIBA, Grandstream, Surveon, Panasonic, Ajhua TECHNOLOGY, HANBANGGAOKE Food Service Distribution Software Market Comprehensive Analysis By Technology Growth 2020, Leading Companies Simon Solutions, Bcfooderp, Crescent, FoodPurby, Rutherford Associates, GetSwift, AFS Technologies, BlueCart, Alpha Data Systems, Redzone, Food Service Solutions, Produce Pro Software, Biwer Associates, Software Solutions Integrated, ENCOMPASS TECHNOLOGIES Dementia Care APP Market Comprehensive Analysis By Technology Growth 2020, Leading Companies Lumosity, MyTherapy, Jigsaw Puzzles, Dementia Clock, Dementia Digital Diary, Mahjong Deluxe, BrainyApp, MindMate, Fit Brains Trainer, Candy Crush Saga, MediSafe, Headspace, Elevate, Colorfy, Tetris Sulphide Ion Selective Electrodes Market overview Ongoing Trends 2025 Digital Pool Water Testers Market Intelligence Report ludes Dynamics, Products, Application 20202025 Cash Management System Market Comprehensive Analysis By Technology Growth 2020, Leading Companies Oracle Corporation, National Cash Management Systems NCMS, NTT Data Corporation, Currency Technics Metrics CTM, Ardent Leisure Management Limited, Giesecke Devrient GmbH, Sopra Banking Software SA, Sage Intacct, ., aurionPro Solutions Limited, Alvara Cash Management Group AG, Glory Global Solutions . Dung Board Sales Market Growth Insight Analysis 20202025 Thursday, November 05, 2020 coronavirus News Technologies Artificial Intelligence Pharmaceutical Market Size, Share, Industrial Growth Status Global Outlook 2020 2028 quince November 5, 2020 The globalArtificial Intelligence Pharmaceutical Marketstudy offers compilation current, historical, future outlook industry factors responsible market growth. With aSWOT analysis, business study highlights weaknesses, strengths, opportunities, threatsof Artificial Intelligence Pharmaceutical Market player comprehensive way. Sample Copy This Report: Under COVID19 outbreak analysis, report provides analysis import, supply chain, export future influence industry regional government policies. Enterprise competition pattern, detailed analysis market status, advantages disadvantages enterprise products, macroeconomic policies regional industrial layout characteristics, industry development trends included. The trends product sales channel offered well. Considering COVID19, report offers complete exhaustive analysis epidemic pushed transformation reform industry. The market study help understand market expansion strategies business accordingly. In strategy analysis, gives insights market positioning marketing channel potential growth strategies, providing indepth analysis new entrants existing competitors Artificial Intelligence Pharmaceutical industry. Key Players: Novartis, Verge Genomics, Bayer, Merck, Cyclia, Recent, Mission Therapeutics, Healx, Astra Zeneca, GNS Healthcare. The market analysis Artificial Intelligence Pharmaceutical offers birds eye view current proceeding Artificial Intelligence Pharmaceutical Market. The market analysis report incorporated analysis factors augment markets growth. It constitutes restraints, trends, drivers transform market negative orpositive manner. Artificial Intelligence Pharmaceutical Market Get ToC overview premium report @ This market analysis offers scope different segments applications actually impact market future. The thorough information based present trends historic milestones. The market analysis mentions volume sales region 2015 2026. A thorough evaluation limitations included market analysis portrays drivers gives room strategic planning. Global Artificial Intelligence Pharmaceutical Market: Segment Analysis Each type offers information return sover forecast period 2018 2028. The sales method segment offers revenue volume sales forecast period 2018 2028. Understanding segments helps classifying importance factors support market growth. Following segmentation covered market study: By Application Diagnosis, Clinical trial research, Drug Discovery, RD, Epidemic prediction, By End Users Hospitals, Clinical trial lab, Research institute Global Artificial Intelligence Pharmaceutical Market: Regional Analysis The market analysis report includes thorough study factors determine regional growth environmental, economic, social political status, technology, region. Market analysis studied data sales, revenue, manufacturers region. The market analysis provides regionwise volume revenue forecast period 2016 2028. This market analysis support market participants understand potential worth investment particular region. Region wise Analysis Global Artificial Intelligence Pharmaceutical Market covers: North America Europe Asia Pacific Middle East Africa South America Make Enquiry purchasing Report @ Global Artificial Intelligence Pharmaceutical Market: Competitive Landscape This market analysis report classifies numerous key manufacturers industry. It supports reader understanding policies collaborations industry participants focusing order combat competition industry. The comprehensive market analysis offers note worthy microscopic look industry. The market analysis classify footprints manufacturers giving global revenue manufacturers sales manufacturers, global price manufacturers forecast period 2018 2028. Major Aspects covered Report An overview Artificial Intelligence Pharmaceutical Market comprising production, consumption, status, estimation market growth. 20162028 historical data market forecast. Overview product type market development. Overview enduser market development. Geographical analysis major countries. Further, report provides niche insights decision possible segment, helping strategic decisionmaking process market size estimation Artificial Intelligence Pharmaceutical Market regional global basis. Unique research designed market size estimation forecast identification major companies operating market related developments. The report exhaustive scope cover possible segments, helping stakeholder Artificial Intelligence Pharmaceutical Market. 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. 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] | 1 | POSITIVE | 452 |
https://www.gurufocus.com/news/1283868/kootenay-intercepts-933-gpt-silver-equivalent-over-225-meters-from-final-drillholes-completed-at-copalito-silvergold-project-mexico | 2020-11-12T00:00:00 | en | Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final Drill-Holes Completed at Copalito Silver-Gold Project, Mexico - GuruFocus.com |
Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final Drill-Holes Completed at Copalito Silver-Gold Project, Mexico - GuruFocus.com
Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final Drill-Holes Completed at Copalito Silver-Gold Project, Mexico - GuruFocus.com
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Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final Drill-Holes Completed at Copalito Silver-Gold Project, MexicoNovember 12, 2020 | About:
TSXV:KTN +1.15%
PR Newswire
VANCOUVER, BC, Nov. 12, 2020
VANCOUVER, BC, Nov. 12, 2020 /PRNewswire/ - Kootenay Silver Inc. (TSXV: KTN) (the "Company" or "Kootenay") is pleased to announce results from the remaining seven holes of the 40-hole program totaling 4,153 meters at the Copalito silver-gold project (the "Property"), located in Sinaloa State, Mexico. These results are part of the first ever drill program at the Property with previous results from the program announced in July and October 2020.
Highlights from Holes BDH-20-34 to BDH-20-40 include:
BDH-20-040 in the 5 Senores Vein
1,813 gpt silver equivalent ("Eq") over 0.51 meters consisting of 16.95 gpt gold, 369 gpt silver and 3.74% lead plus zinc within 933 gpt silver Eq over 2.25 meters consisting of 6.65 gpt gold, 335 gpt silver and 2.6% lead plus zinc; and 311 gpt silver Eq over 9.05 meters consisting of 2.09 gpt gold, 124 gpt silver and 0.795% lead plus zinc.This hole is one of the deepest vertical holes drilled to date at an elevation of about 600 meters above sea level.Warning! GuruFocus has detected 1 Warning Sign with TSXV:KTN. Click here to check it out.
TSXV:KTN 30-Year Financial DataThe intrinsic value of TSXV:KTNPeter Lynch Chart of TSXV:KTNBDH-20-039 in the 5 Senores Vein
213 gpt silver Eq over 3.3 meters consisting of 128.1 gpt silver, 0.66 gpt gold, and 1.17% lead plus zinc and 183.66 gpt silver Eq over 4.0 meters consisting of 109.6 gpt silver, 0.84 gpt gold, and 0.26% lead plus zinc within: 93.78 gpt silver Eq over 27.4 meters consisting of 60.4 gpt silver, 0.28 gpt gold and 0.4% lead plus zincBD- 20-037 in the 5 Senores Vein
1,260.81 gpt silver Eq over 1 meter consisting of 846 gpt silver, 3.11 gpt gold and 6.15% lead plus zinc within: 735.3 gpt silver Eq over 2.25 meters consisting of 483.8 gpt silver, 2.18 gpt gold and 2.86% lead plus zinc and 211.48 gpt silver Eq over 10 meters consisting of 128.5 gpt silver, 0.655 gpt gold and 1.13% lead plus zinc.James McDonald, President and CEO, states "We are very pleased the first ever drill program conducted on Copalito has shown excellent grade potential and continuity of vein structures. This indicates the potential for discovery and delineation of high-grade resources is good."
Luis Moya, Chief Geologist, comments "After receiving the geochemical analyses of the last 7 of 40 holes it can be concluded the drilling campaign ended successfully. The last holes establish continuity to depth and along strike with high grade potential exhibiting values of up to 16.95 gpt gold and 846 gpt silver."
Drilling Discussion
The drill program tested 4,153 meters along a classic Mexican epithermal vein system. A follow up drill program will now be designed, the details of which will be released once complete. The follow up program will be guided by detailed structural mapping and possibly geophysics.
The drill program also returned high-grade values from other previously released drill holes targeting such veins as the Pilar Vein with gold values up to 7.05 gpt and 13.55% lead plus zinc (BDH-20-33); the Chiva Vein with silver values up to 936 gpt (BDH-20-09); and the Cobriza Vein with silver values up to 307 gpt. The seven remaining holes, BDH-20-34 to BDH-20-40, focused on the Pillar and 5 Senores veins located within the southeast region of the Property.
Along with previous drill holes, good continuity and grade potential has been shown for at least 600 meters of strike length along the 5 Senores vein. Previously released BDH-20-04 drilled into 5 Senores contained silver equivalent values up to 2,843 gpt. Grade highlights from drilling ranged to 2,830 gpt silver (BDH-20-04) and 16.95 gpt gold (BDH-20-40); see the Company's news release dated July 22, 2020.
Detailed Drill Results – Holes BDH-20-034 to BDH-20-040
Hole ID
From
(meters)
To
(meters)
Interval(meters)
Silver
(gpt)
Gold
(gpt)
Lead+ Zinc (%)
Silver Eq
(gpt)
Vein
BDH-20-034
No Significant Values
Pilar
BDH-20-035
No Significant Values
Pilar
BDH-20-036
19
27.55
8.55
14.8
0.269
1.365
72.36
Pilar
and
21.55
24.5
2.95
21.3
0.434
2.873
131.93
BDH-20-037
42.0
52.0
10.00
128.5
0.655
1.138
211.48
5 Senores
includes
45.75
48.0
2.25
483.8
2.187
2.865
735.30
includes
47.0
48.0
1.00
846.0
3.11
6.15
1,260.81
BDH-20-038
No Significant Values
5 Senores
BDH-20-039
0
4.55
4.55
94.9
0.023
0.162
101.20
5 Senores
and
15.0
42.4
27.40
60.4
0.282
0.406
93.78
includes
19.0
23.0
4.00
109.6
0.846
0.265
183.66
includes
31.0
34.3
3.30
128.1
0.664
1.174
213.00
BDH-20-040
26.0
35.05
9.05
124.0
2.09
0.795
311.00
5 Senores
includes
31.0
33.25
2.25
335.0
6.65
2.625
933.38
includes
32.12
32.63
0.51
369.0
16.95
3.74
1,813.00
and
43.0
55.2
12.20
24.0
0.411
1.004
83.81
includes
51.1
51.65
0.55
93.0
1.07
4.63
301.09
includes
53.55
54.59
1.04
32.0
1.52
3.394
245.00
* Silver equivalent based $24/oz silver $1900/oz gold, $1/lb zinc, $0.8/lb lead
Note: Estimated true widths range from 85 to 90% of drilled widths depending on dip of the vein and inclination of the hole. All silver composites rounded to the nearest whole number
a) Plan Map of Hole BDH-20-001 to BDH-20-40 and b) Cross Sections for BDH-20-039/BDH-20-040 and BDH-20-37. Click here to view larger versions of the plan map and cross sections.
Qualified Persons
The Kootenay technical information in this news release has been prepared in accordance with the Canadian regulatory requirements set out in National Instrument 43-101 (Standards of Disclosure for Mineral Projects) and reviewed and approved on behalf of Kootenay by James McDonald, P.Geo, President, CEO & Director for Kootenay, a Qualified Person.
Sampling and QA/QC
All technical information for the Copalito exploration program is obtained and reported under a formal quality assurance and quality control ("QA/QC") program. Samples are taken from core cut in half with a diamond saw under the direction of qualified geologists and engineers. Samples are then labeled, placed in plastic bags, sealed and with interval and sample numbers recorded. Samples are delivered by the Company to ALS Minerals ("ALS") in Hermosillo, Sonora. The samples are dried, crushed and pulverized with the pulps being sent airfreight for analysis by ALS in North Vancouver, B.C. Systematic assaying of standards, blanks and duplicates is performed for precision and accuracy. Analysis for silver, zinc, lead and copper and related trace elements was done by ICP four acid digestion, with gold analysis by 30-gram fire assay with an AA finish. All drilling reported is HQ core and has been contracted to Globexplore Drilling from Hermosillo, Mexico.
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
About Kootenay Silver Inc.
Kootenay Silver Inc. is an exploration company actively engaged in the discovery and development of mineral projects in the Sierra Madre Region of Mexico and in British Columbia, Canada. Supported by one of the largest junior portfolios of silver assets in Mexico, Kootenay continues to provide its shareholders with significant leverage to silver prices. The Company remains focused on the expansion of its current silver resources, new discoveries and the near-term economic development of its priority silver projects located in the states of Sonora, Sinaloa and Chihuahua, Mexico, respectively.
CAUTIONARY NOTE REGARDING FORWARD-LOOKING STATEMENTS:
The information in this news release has been prepared as at November 11, 2020. Certain statements in this news release, referred to herein as "forward-looking statements", constitute "forward-looking statements" under the provisions of Canadian provincial securities laws. These statements can be identified by the use of words such as "expected", "may", "will" or similar terms.
Forward-looking statements are necessarily based upon a number of factors and assumptions that, while considered reasonable by Kootenay as of the date of such statements, are inherently subject to significant business, economic and competitive uncertainties and contingencies. Many factors, known and unknown, could cause actual results to be materially different from those expressed or implied by such forward-looking statements. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date made. Except as otherwise required by law, Kootenay expressly disclaims any obligation or undertaking to release publicly any updates or revisions to any such statements to reflect any change in Kootenay's expectations or any change in events, conditions or circumstances on which any such statement is based.
Cautionary Note to US Investors: This news release may contain information about adjacent properties on which we have no right to explore or mine. We advise U.S. investors that the SEC's mining guidelines strictly prohibit information of this type in documents filed with the SEC. U.S. investors are cautioned that mineral deposits on adjacent properties are not indicative of mineral deposits on our properties. This news release may contain forward-looking statements including but not limited to comments regarding the timing and content of upcoming work programs, geological interpretations, receipt of property titles, potential mineral recovery processes, etc. Forward-looking statements address future events and conditions and therefore involve inherent risks and uncertainties. Actual results may differ materially from those currently anticipated in such statements.
This press release uses the terms "Measured", "Indicated", and "Inferred" resources. United States investors are advised that while such terms are recognized and required by Canadian regulations, the United States Securities and Exchange Commission does not recognize them. "Inferred Mineral Resources" have a great amount of uncertainty as to their existence, and as to their economic and legal feasibility. It cannot be assumed that all or any part of an Inferred Mineral Resource will ever be upgraded to a higher category. Under Canadian rules, estimates of Inferred Mineral Resources may not form the basis of feasibility or other economic studies. United States investors are cautioned not to assume that all or any part of Measured or Indicated Mineral Resources will ever be converted into Mineral Reserves. United States investors are also cautioned not to assume that all or any part of a Mineral Resource is economically or legally mineable.
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SOURCE Kootenay Silver Inc.
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| Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final Drill-Holes Completed at Copalito Silver-Gold Project, Mexico | Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final DrillHoles Completed Copalito SilverGold Project, Mexico Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final DrillHoles Completed Copalito SilverGold Project, Mexico Home Home Membership Levels Complete Stock List Value Conference The Book Podcast Membership Data Coverage Founders Message FREE Trial Screeners GuruFocus Screeners AllInOne Screener Ben Graham Lost Formula 3 New Canadian Faster Growers CEO Buys 12 New CEO Buys Price Drop > 20 1 New Dividend Growth Portfolio Dividend ome Portfolio 1 New Fast Growers 8 New Hedge Fund Guru Top 10 Aggregated 1 New High Quality 1 New High Quality Low Capex w ROE ROC min High Quality Low Capex High Yield Insider Buys Historical High Dividend Yields 1 New International Gurus Top Holdings James Montier Short Screen 9 New Margin Decliners 5 New Mega Caps 6 New Peter Lynch Warren Buffett 8 New Peter Lynch Growth w Lower Valuation Peter Lynch SL Traded Below Book 1 New PFCF Screener 20 New Piotroski Score Screener 8 New Predictable Companies 20 New Profitable predictable margin expanders Stocks Sold w Cash 1 New Good Companies The Stalwarts 2 New Walter Schlosss Screen 2 New Full Stock List My Screeners Create My Screener Value Screens AllInOne Screener BuffettMunger Screener 2 New Industry Overview Undervalued Predictable Ben Graham NetNet 1 New 52Week3Y5Y Lows 9 New 52Week3Y5Y Highs 9 New Magic Formula Greenblatt 12 New Dividend Stocks Peter Lynch Screen 2 New SP 500 Grid 20 New Predictable Companies 1 New Spin Off List 12 New Historical Low PB List Historical Low PS List 2 New High Short Interest 4 New Upcoming Special Dividends 20 New Model Portfolios Performances BuffettMunger Low PS Low PB Broadest Owned Most Weighted Tools Download Financial Data Excel AddIn GURUF API Manual Stocks FilingWiz FilingWiz User Manual DCFReverse DCF Calculator Download Guru Portfolios Download Insider Data Mobile App Gurus Latest Guru Picks List Gurus Personalize Real Time Picks Top 10 Holdings View Guru Bargains Hot Picks Aggregated Portfolio Consensus Picks ETFs Scoreboard Sector Picks International Picks Industry Trends Geographic Trend Options European Shorting Warren Buffett 1 New Bill Gates Mohnish Pabrai 1 New Carl Icahn George Soros 55 New David Tepper 12 New Seth Klarman 4 New Bill Ackman Joel Greenblatt 209 New Charlie Munger Insiders All Insiders CEO BuysSales Insider Trends Insider Cluster CFO BuysSales GuruInsider Double Buys Triple BuysSales Canadian Insider Dutch Insider Market Market Valuation Buffett Indicator Industry Overview U.S. Treasury Yield Curve Shiller PE Global Market Valuation Economic Data Shiller PE By Sectors Buffett Assets Allocation Economic Indicators The Dow Jones Industrial Average DJIA SP 500 Index Nasdaq Composite Index Gross Domestic Product GDP Shiller PE Ratio Wilshire 5000 GNP Civilian Unemployment Rate Russell 2000 Small Cap Price Index CBOE Volatility Index VIX Total Nonfarm Payrolls: All Employees More... 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Kootenay Intercepts 933 GPT Silver Equivalent Over 2.25 Meters From Final DrillHoles Completed Copalito SilverGold Project, MexicoNovember 12, 2020 About: TSXV:KTN 1.15 PR Newswire VANCOUVER, BC, Nov. 12, 2020 VANCOUVER, BC, Nov. 12, 2020 PRNewswire Kootenay Silver . TSXV: KTN Company Kootenay pleased announce results remaining seven holes 40hole program totaling 4,153 meters Copalito silvergold project Property, located Sinaloa State, Mexico. These results drill program Property previous results program announced July October 2020. Highlights Holes BDH2034 BDH2040 include: BDH20040 5 Senores Vein 1,813 gpt silver equivalent Eq 0.51 meters consisting 16.95 gpt gold, 369 gpt silver 3.74 lead plus zinc 933 gpt silver Eq 2.25 meters consisting 6.65 gpt gold, 335 gpt silver 2.6 lead plus zinc; 311 gpt silver Eq 9.05 meters consisting 2.09 gpt gold, 124 gpt silver 0.795 lead plus zinc.This hole deepest vertical holes drilled date elevation 600 meters sea level.Warning GuruFocus detected 1 Warning Sign TSXV:KTN. Click check out. TSXV:KTN 30Year Financial DataThe intrinsic value TSXV:KTNPeter Lynch Chart TSXV:KTNBDH20039 5 Senores Vein 213 gpt silver Eq 3.3 meters consisting 128.1 gpt silver, 0.66 gpt gold, 1.17 lead plus zinc 183.66 gpt silver Eq 4.0 meters consisting 109.6 gpt silver, 0.84 gpt gold, 0.26 lead plus zinc within: 93.78 gpt silver Eq 27.4 meters consisting 60.4 gpt silver, 0.28 gpt gold 0.4 lead plus zincBD 20037 5 Senores Vein 1,260.81 gpt silver Eq 1 meter consisting 846 gpt silver, 3.11 gpt gold 6.15 lead plus zinc within: 735.3 gpt silver Eq 2.25 meters consisting 483.8 gpt silver, 2.18 gpt gold 2.86 lead plus zinc 211.48 gpt silver Eq 10 meters consisting 128.5 gpt silver, 0.655 gpt gold 1.13 lead plus zinc.James McDonald, President CEO, states We pleased drill program conducted Copalito shown excellent grade potential continuity vein structures. This indicates potential discovery delineation highgrade resources good. Luis Moya, Chief Geologist, comments After receiving geochemical analyses 7 40 holes concluded drilling campaign ended successfully. The holes establish continuity depth strike high grade potential exhibiting values 16.95 gpt gold 846 gpt silver. Drilling Discussion The drill program tested 4,153 meters classic Mexican epithermal vein system. A follow drill program designed, details released complete. The follow program guided detailed structural mapping possibly geophysics. The drill program returned highgrade values previously released drill holes targeting veins Pilar Vein gold values 7.05 gpt 13.55 lead plus zinc BDH2033; Chiva Vein silver values 936 gpt BDH2009; Cobriza Vein silver values 307 gpt. The seven remaining holes, BDH2034 BDH2040, focused Pillar 5 Senores veins located southeast region Property. Along previous drill holes, good continuity grade potential shown 600 meters strike length 5 Senores vein. Previously released BDH2004 drilled 5 Senores contained silver equivalent values 2,843 gpt. Grade highlights drilling ranged 2,830 gpt silver BDH2004 16.95 gpt gold BDH2040; Companys news release dated July 22, 2020. Detailed Drill Results Holes BDH20034 BDH20040 Hole ID From meters To meters Intervalmeters Silver gpt Gold gpt Lead Zinc Silver Eq gpt Vein BDH20034 No Significant Values Pilar BDH20035 No Significant Values Pilar BDH20036 19 27.55 8.55 14.8 0.269 1.365 72.36 Pilar 21.55 24.5 2.95 21.3 0.434 2.873 131.93 BDH20037 42.0 52.0 10.00 128.5 0.655 1.138 211.48 5 Senores includes 45.75 48.0 2.25 483.8 2.187 2.865 735.30 includes 47.0 48.0 1.00 846.0 3.11 6.15 1,260.81 BDH20038 No Significant Values 5 Senores BDH20039 0 4.55 4.55 94.9 0.023 0.162 101.20 5 Senores 15.0 42.4 27.40 60.4 0.282 0.406 93.78 includes 19.0 23.0 4.00 109.6 0.846 0.265 183.66 includes 31.0 34.3 3.30 128.1 0.664 1.174 213.00 BDH20040 26.0 35.05 9.05 124.0 2.09 0.795 311.00 5 Senores includes 31.0 33.25 2.25 335.0 6.65 2.625 933.38 includes 32.12 32.63 0.51 369.0 16.95 3.74 1,813.00 43.0 55.2 12.20 24.0 0.411 1.004 83.81 includes 51.1 51.65 0.55 93.0 1.07 4.63 301.09 includes 53.55 54.59 1.04 32.0 1.52 3.394 245.00 Silver equivalent based 24oz silver 1900oz gold, 1lb zinc, 0.8lb lead Note: Estimated true widths range 85 90 drilled widths depending dip vein inclination hole. All silver composites rounded nearest number Plan Map Hole BDH20001 BDH2040 b Cross Sections BDH20039BDH20040 BDH2037. Click view larger versions plan map cross sections. Qualified Persons The Kootenay technical information news release prepared accordance Canadian regulatory requirements set National Instrument 43101 Standards Disclosure Mineral Projects reviewed approved behalf Kootenay James McDonald, P.Geo, President, CEO Director Kootenay, Qualified Person. Sampling QAQC All technical information Copalito exploration program obtained reported formal quality assurance quality control QAQC program. Samples taken core cut half diamond saw direction qualified geologists engineers. Samples labeled, placed plastic bags, sealed interval sample numbers recorded. Samples delivered Company ALS Minerals ALS Hermosillo, Sonora. The samples dried, crushed pulverized pulps sent airfreight analysis ALS North Vancouver, B.C. Systematic assaying standards, blanks duplicates performed precision accuracy. Analysis silver, zinc, lead copper related trace elements ICP acid digestion, gold analysis 30gram assay AA finish. All drilling reported HQ core contracted Globexplore Drilling Hermosillo, Mexico. Neither TSX Venture Exchange Regulation Services Provider term defined policies TSX Venture Exchange accepts responsibility adequacy accuracy release. About Kootenay Silver . Kootenay Silver . exploration company actively engaged discovery development mineral projects Sierra Madre Region Mexico British Columbia, Canada. Supported largest junior portfolios silver assets Mexico, Kootenay continues provide shareholders significant leverage silver prices. The Company remains focused expansion current silver resources, new discoveries nearterm economic development priority silver projects located states Sonora, Sinaloa Chihuahua, Mexico, respectively. CAUTIONARY NOTE REGARDING FORWARDLOOKING STATEMENTS: The information news release prepared November 11, 2020. Certain statements news release, referred forwardlooking statements, constitute forwardlooking statements provisions Canadian provincial securities laws. These statements identified use words expected, may, similar terms. Forwardlooking statements necessarily based number factors assumptions that, considered reasonable Kootenay date statements, inherently subject significant business, economic competitive uncertainties contingencies. Many factors, known unknown, cause actual results materially different expressed implied forwardlooking statements. Readers cautioned place undue reliance forwardlooking statements, speak date made. Except required law, Kootenay expressly disclaims obligation undertaking release publicly updates revisions statements reflect change Kootenays expectations change events, conditions circumstances statement based. Cautionary Note US Investors: This news release contain information adjacent properties right explore mine. We advise U.S. investors SECs mining guidelines strictly prohibit information type documents filed SEC. U.S. investors cautioned mineral deposits adjacent properties indicative mineral deposits properties. This news release contain forwardlooking statements including limited comments timing content upcoming work programs, geological interpretations, receipt property titles, potential mineral recovery processes, etc. Forwardlooking statements address future events conditions involve inherent risks uncertainties. Actual results differ materially currently anticipated statements. This press release uses terms Measured, Indicated, Inferred resources. United States investors advised terms recognized required Canadian regulations, United States Securities Exchange Commission recognize them. Inferred Mineral Resources great uncertainty existence, economic legal feasibility. It assumed Inferred Mineral Resource upgraded higher category. Under Canadian rules, estimates Inferred Mineral Resources form basis feasibility economic studies. United States investors cautioned assume Measured Indicated Mineral Resources converted Mineral Reserves. United States investors cautioned assume Mineral Resource economically legally mineable. View original content download multimedia: SOURCE Kootenay Silver . Currently 0.00512345 Rating: 0.05 0 votes Email RSS Comments Please leave comment: More GuruFocus Links Latest Guru Picks Value Strategies Warren Buffett Portfolio Ben Graham NetNet Real Time Picks BuffettMunger Screener Aggregated Portfolio Undervalued Predictable ETFs, Options Low PS Companies Insider Trends 10Year Financials 52Week Lows Interactive Charts Model Portfolios DCF Calculator RSS Feed Monthly Newsletters The AllInOne Screener Portfolio Tracking Tool Write GuruFocus Submit article GuruFocus detected 1 Warning Sign Kootenay Silver TSXV:KTN. 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In event shall liable member, guest party damages kind arising use content material published available , relating use of, inability use, content, including, limitation, investment losses, lost profits, lost opportunity, special, incidental, indirect, consequential punitive damages. Past performance poor indicator future performance. The information site, related newsletters, intended be, constitute, investment advice recommendations. The information site way guaranteed completeness, accuracy way. The gurus listed website affiliated , LLC. Stock quotes provided InterActive Data. Fundamental company data provided Morningstar, updated daily. | 2,020 | [
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https://www.businesschief.com/technology-and-ai/google-close-project-tango-succession-arcore-1 | 2020-08-02T00:00:00 | en | Google to close Project Tango with the succession of ARCore | Technology & AI | Business Chief North America | Google to close Project Tango with the succession of ARCore | Technology & AI | Business Chief North America | Google to close Project Tango with the succession of ARCore | Google close Project Tango succession ARCore Technology AI Business Chief North America | 2,020 | [
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] | 1 | POSITIVE | 454 |
https://fusionscienceacademy.com/artificial-intelligence-ai-in-social-media-market-2025-opportunities-manufacturers-demands-market-share-market-size-and-growth-analysis/ | 2020-01-22T00:00:00 | en | Artificial Intelligence (AI) in Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, and Growth Analysis – Fusion Science Academy |
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MARKET REPORT
Artificial Intelligence (AI) in Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, and Growth Analysis
Published 1 hour ago on January 22, 2020
By [email protected]
Global AI in Social Media market size will increase to Million US$ by 2025, from Million US$ in 2018, at a CAGR of during the forecast period. In this study, 2018 has been considered as the base year and 2019 to 2025 as the forecast period to estimate the market size for AI in Social Media. With tables and figures helping analyze worldwide AI in Social Media Market, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.
To know more about report Request a sample @ https://www.reportsnreports.com/contacts/requestsample.aspx?name=1851195
The various contributors involved in the value chain of AI in Social Media include manufacturers, suppliers, distributors, intermediaries, and customers.
Top leading key Players in the AI in Social Media Market:Google,Facebook,Microsoft, AWS, IBM, Adobe Systems,Baidu,Salesforce,Twitter, Snap, Clarabridge,Converseon, Sprinklr, Unmetric, Isentium,Cluep,Netbase,Spredfast,Synthesio,Crimson Hexagon,Hootsuite,Sprout Social,;Vidora,Meltwater,Talkwalker
AI in Social Media Breakdown Data by Type
– Machine Learning and Deep Learning
– Natural Language Processing (NLP)
AI in Social Media Breakdown Data by Application
– Retail and eCommerce
– Banking, Financial Services, and Insurance (BFSI)
– Media and Advertising
– Education
– Public Utilities
– Others
Market segment by Regions/Countries, this report covers
– United States
– Europe
– China
– Japan
– Southeast Asia
– India
– Central & South America
A Discount (20%) can be asked before order a copy of AI in Social Media Market Report at https://www.reportsnreports.com/contacts/discount.aspx?name=1851195
North America is expected to have the largest market size in the AI in social media market, while APAC is expected to grow at the highest CAGR during the forecast period. The North American region has shown increased investments in the market. A considerable growth is expected in the region during the forecast period. In North America, the AI in social media technologies is effectively used for various applications, such as sales and marketing, customer experience management, and predictive risk assessment.
This report presents the worldwide AI in Social Media Market size (value, production and consumption), splits the breakdown (data status 2014-2018 and forecast to 2025), by manufacturers, region, type and application. This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter’s Five Forces Analysis.
The report focuses on global major leading industry players of AI in Social Media Market providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out. The AI in Social Media Market development trends and marketing channels are analyzed. Finally the feasibility of new investment projects are assessed and overall research conclusions offered.
For Instant Discount on Direct Purchase Coupon Code added on website for Global AI in Social Media Market Report 2019 @ https://www.reportsnreports.com/purchase.aspx?name=1851195
Major Points from Table of Contents
Charpter 1-AI in Social Media Market Overview
Charpter 2-Global AI in Social Media Competition by Players/Suppliers, Type and Application
Charpter 3-United States AI in Social Media (Volume, Value and Sales Price)
Charpter 4-China AI in Social Media (Volume, Value and Sales Price)
Charpter 5-Europe AI in Social Media (Volume, Value and Sales Price)
Charpter 6-Japan AI in Social Media (Volume, Value and Sales Price)
Charpter 7-Southeast Asia AI in Social Media (Volume, Value and Sales Price)
Charpter 8-India AI in Social Media (Volume, Value and Sales Price)
Charpter 9-Global AI in Social Media Players/Suppliers Profiles and Sales Data
Charpter 10-AI in Social Media Maufacturing Cost Analysis
Charpter 11-Industrial Chain, Sourcing Strategy and Downstream Buyers
Charpter 12-Marketing Strategy Analysis, Distributors/Traders
Charpter 13-Market Effect Factors Analysis
Charpter 14-Global AI in Social Media Market Forecast (2019-2025)
Charpter 15-Research Findings and Conclusion
Charpter 16-Appendix
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About Latest Posts [email protected] Latest posts by [email protected] (see all) Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current and Future Plans by Forecast to 2025 - January 22, 2020 Finance Lease Market Seeking Growth from Emerging Markets, Growth Revenue, Study Drivers, Restraints and Forecast 2025 - January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 - January 22, 2020
Related Topics:AI in Social Media Industry GrowthAI in Social Media Industry SizeAI in Social Media Industry TrendsAI In Social Media MarketAI in Social Media Market 2019AI In Social Media Market AnalysisAI in Social Media Market DemandAI in Social Media Market ForecastsAI In Social Media Market GrowthAI In Social Media Market IndustryAI in Social Media Market OutlookAI in Social Media Market ReportAI in Social Media Market ShareAI in Social Media Market TrendGlobal AI in Social Media Market
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Know Key Asset of AI In Social Media Market By Top Key Players IBM Corporation, Microsoft Corporation, Facebook Inc., Adobe System Incorporated., Google LLC (Alphabet Inc.), Amazon Web Services Inc., Clarabridge Inc., HootSuite Media Inc
AI in Social Media Market Development 2019 – Google, Facebook, Microsoft, AWS, IBM, Adobe Systems, Baidu
MARKET REPORT
Electrical Bushings Market Size, Analysis, and Forecast Report 2019-2026
Published 1 min ago on January 22, 2020
By [email protected]
The ‘Electrical Bushings 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 Electrical Bushings 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 Electrical Bushings market and the trends that will prevail in this industry.
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What pointers are covered in the Electrical Bushings market research study?
The Electrical Bushings market report – Elucidated with regards to the regional landscape of the industry:
The geographical reach of the Electrical Bushings 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 Electrical Bushings 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
* ABB* Siemens* GE* Eaton* Nexans* Bharat Heavy Electricals LimitedFor complete companies list, please ask for sample pages.
The information for each competitor includes:* Company Profile* Main Business Information * SWOT Analysis * Sales, Revenue, Price and Gross Margin * Market Share
For product type segment, this report listed main product type of Electrical Bushings market in gloabal and china.* Oil Impregnated Paper (OIP)* Resin Impregnated Paper (RIP)* Others
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.* Utilities* Industries* Others
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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 Electrical Bushings 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 Electrical Bushings market report also expounds an analysis of the industry distribution chain, further advancing on aspects such as important distributors and the customer pool.
The ‘Electrical Bushings 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.
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Some of the Major Highlights of TOC covers:
Development Trend of Analysis of Electrical Bushings Market
Global Electrical Bushings Market Trend Analysis
Global Electrical Bushings Market Size (Volume and Value) Forecast 2019-2025
Marketing Channel
Direct Marketing
Indirect Marketing
Electrical Bushings 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
About Latest Posts [email protected] Latest posts by [email protected] (see all) Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current and Future Plans by Forecast to 2025 - January 22, 2020 Finance Lease Market Seeking Growth from Emerging Markets, Growth Revenue, Study Drivers, Restraints and Forecast 2025 - January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 - January 22, 2020
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MARKET REPORT
Bisphenol A Market – Industry Current Trends, Opportunities & Challenges by 2028
Published 1 min ago on January 22, 2020
By [email protected]
Assessment of the Global Bisphenol A Market
The recent study on the Bisphenol A market is a comprehensive analysis of the various parameters that are likely to influence the growth of the Bisphenol A market. The historical and current market trends are taken into consideration while predicting the future prospects of the Bisphenol A market. Further, the study introspects the major trends that are likely to impact the growth of the Bisphenol A market during the forecast period, 20XX-20XX.
The investors, stakeholders, emerging and established players can leverage the data included in the report to develop impactful growth strategies and improve their position in the current Bisphenol A market landscape. The report provides a thorough assessment of the micro and macro-economic factors that are expected to impact the growth of the Bisphenol A market.
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Competitive Assessment
The competitive assessment section provides insights related to the developments made by leading players in the Bisphenol A market in terms of product development, mergers, collaborations, and more. The product portfolio of each company is evaluated along with its pricing structure and marketing strategies.
Regional Assessment
The regional assessment chapter of the report offers an in-depth understanding of the growth prospects of the Bisphenol A market across different geographies such as:
End-use Industry
The adoption pattern of the Bisphenol A across various end-use industries is highlighted in the report and represented using informative graphs, figures, and tables. The different end-use industries studied in the report include:
leading manufacturers profiled in this report include Bayer Material Science, SABIC Innovative Plastics, and Momentive Specialty Chemicals Inc., Kumho P&B Chemicals, Teijin Ltd., Dow Chemicals, Nan Ya Plastics Corporation, Mitsubishi Chemical Holding Corporation and Mitsui Chemicals among others. These companies are profiled in detail covering features such as company overview, financial overview, business strategies, SWOT analysis, and recent developments.
To manage the scope of the research certain assumptions were made. All the market estimates and forecast have been calculated on the basis of sales and consumption. Inflation is not a part of pricing in this report and price has been kept constant throughout the year for calculating market size. Given that different end-users use different types of products, pricing for each application varies according to region while estimating and forecasting market revenue on the global basis. The global average bulk prices of chemicals have been used for computation of value of market.
The market has been segmented as below:
Bisphenol A Market: Application Segment Analysis
Polycarbonates
Epoxy resins
Others (Flame retardants, unsaturated polyester resin, polyacrylate, polyetherimide, polysulfone resins, etc)
Bisphenol A Market: Regional Analysis
North America
Europe
Asia pacific
Rest of the world
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Valuable Market Insights Included in the Report
Recent collaborations, mergers, acquisitions, and partnerships
Revenue growth of the Bisphenol A market over the assessment period
Value chain analysis of prominent players in the Bisphenol A market
Regulatory framework across different regions impacting the Bisphenol A market trajectory
Recent technological advances and innovations influencing the Bisphenol A market
The report addresses the following queries related to the Bisphenol A market
How have the production techniques evolved in recent years?
How can the emerging players in the Bisphenol A market establish their foothold in the current Bisphenol A market landscape?
The market in which region is expected to witness the highest growth during the forecast period?
What is the projected value of the Bisphenol A market in 2019?
How can the emerging players in the Bisphenol A market solidify their position in the Bisphenol A market?
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About Latest Posts [email protected] Latest posts by [email protected] (see all) Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current and Future Plans by Forecast to 2025 - January 22, 2020 Finance Lease Market Seeking Growth from Emerging Markets, Growth Revenue, Study Drivers, Restraints and Forecast 2025 - January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 - January 22, 2020
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MARKET REPORT
Water-based Resin Market Forecast Report on Water-based Resin Market 2019-2029
Published 1 min ago on January 22, 2020
By [email protected]
Water-based Resin Market Insights 2019, Global and Chinese Scenario is a professional and in-depth study on the current state of the global Water-based Resin industry with a focus on the Chinese market. The report provides key statistics on the market status of the Water-based Resin manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. Overall, the report provides an in-depth insight of 2014-2024 global and Chinese Water-based Resin market covering all important parameters.
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There are 3 key segments covered in this report: competitor segment, product type segment, end use/application segment.
For competitor segment, the report includes global key players of Water-based Resin as well as some small players.
* Dowdupont* BASF* Lubrizol* DSM* Allnex Group* HexionFor complete companies list, please ask for sample pages.
The information for each * Company Profile* Main Business Information * SWOT Analysis * Sales, Revenue, Price and Gross Margin * Market Share
For product type segment, this report listed main product type of Water-based Resin market* Acrylic* Epoxy* Alkyd* Polyurethane* Others
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.* Paints & Coatings* Adhesives & Sealants* Inks* Others
For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:* North America* South America* Asia & Pacific* Europe* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.
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The key points of the Water-based Resin Market report:
1.The report provides a basic overview of the Water-based Resin Market industry including its definition, applications and manufacturing technology.
2.The Water-based Resin Market report explores the international and Chinese major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2014-2019 market shares for each company.
3.Through the statistical analysis, the report depicts the global and Chinese total market of Water-based Resin industry including capacity, production, production value, cost/profit, supply/demand and Chinese import/export.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The Water-based Resin Market report then estimates 2019-2024 market development trends of Water-based Resin industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out.
6.The Water-based Resin Market report makes some important proposals for a new project of Water-based Resin Industry before evaluating its feasibility.
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Reasons to Purchase this Water-based Resin Market Report:
Estimates 2019-2024 Water-based Resin market development trends with the recent trends and SWOT analysis
Market dynamics scenario, along with growth opportunities of the market in the years to come
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
1-year analyst support, along with the data support in excel format.
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| Artificial Intelligence (AI) in Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, and Growth Analysis | Artificial Intelligence AI Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, Growth Analysis Fusion Science Academy Our Writers Us Join Our Newsletter Connect Fusion Science Academy Artificial Intelligence AI Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, Growth Analysis MARKET REPORT SPACE SATELLITE NASA ENERGY Us MARKET REPORT Artificial Intelligence AI Social Media Market 2025 Opportunities, Manufacturers, Demands, Market Share Market Size, Growth Analysis Published 1 hour ago January 22, 2020 By [emailprotected] Global AI Social Media market size increase Million US 2025, Million US 2018, CAGR forecast period. In study, 2018 considered base year 2019 2025 forecast period estimate market size AI Social Media. With tables figures helping analyze worldwide AI Social Media Market, research provides key statistics state industry valuable source guidance direction companies individuals interested market. To know report Request sample @ The contributors involved value chain AI Social Media include manufacturers, suppliers, distributors, intermediaries, customers. Top leading key Players AI Social Media Market:Google,Facebook,Microsoft, AWS, IBM, Adobe Systems,Baidu,Salesforce,Twitter, Snap, Clarabridge,Converseon, Sprinklr, Unmetric, Isentium,Cluep,Netbase,Spredfast,Synthesio,Crimson Hexagon,Hootsuite,Sprout Social,;Vidora,Meltwater,Talkwalker AI Social Media Breakdown Data Type Machine Learning Deep Learning Natural Language Processing NLP AI Social Media Breakdown Data Application Retail eCommerce Banking, Financial Services, Insurance BFSI Media Advertising Education Public Utilities Others Market segment RegionsCountries, report covers United States Europe China Japan Southeast Asia India Central South America A Discount 20 asked order copy AI Social Media Market Report North America expected largest market size AI social media market, APAC expected grow highest CAGR forecast period. The North American region shown increased investments market. A considerable growth expected region forecast period. In North America, AI social media technologies effectively applications, sales marketing, customer experience management, predictive risk assessment. This report presents worldwide AI Social Media Market size value, production consumption, splits breakdown data status 20142018 forecast 2025, manufacturers, region, type application. This study analyzes market status, market share, growth rate, future trends, market drivers, opportunities challenges, risks entry barriers, sales channels, distributors Porters Five Forces Analysis. The report focuses global major leading industry players AI Social Media Market providing information company profiles, product picture specification, capacity, production, price, cost, revenue contact information. Upstream raw materials equipment downstream demand analysis carried out. The AI Social Media Market development trends marketing channels analyzed. Finally feasibility new investment projects assessed overall research conclusions offered. For Instant Discount Direct Purchase Coupon Code added website Global AI Social Media Market Report 2019 @ Major Points Table Contents Charpter 1AI Social Media Market Overview Charpter 2Global AI Social Media Competition PlayersSuppliers, Type Application Charpter 3United States AI Social Media Volume, Value Sales Price Charpter 4China AI Social Media Volume, Value Sales Price Charpter 5Europe AI Social Media Volume, Value Sales Price Charpter 6Japan AI Social Media Volume, Value Sales Price Charpter 7Southeast Asia AI Social Media Volume, Value Sales Price Charpter 8India AI Social Media Volume, Value Sales Price Charpter 9Global AI Social Media PlayersSuppliers Profiles Sales Data Charpter 10AI Social Media Maufacturing Cost Analysis Charpter 11Industrial Chain, Sourcing Strategy Downstream Buyers Charpter 12Marketing Strategy Analysis, DistributorsTraders Charpter 13Market Effect Factors Analysis Charpter 14Global AI Social Media Market Forecast 20192025 Charpter 15Research Findings Conclusion Charpter 16Appendix : single source market research needs. Our database includes 500,000 market research reports 95 leading global publishers indepth market research studies 5000 micro markets. About Latest Posts [emailprotected] Latest posts [emailprotected] Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current Future Plans Forecast 2025 January 22, 2020 Finance Lease Market Seeking Growth Emerging Markets, Growth Revenue, Study Drivers, Restraints Forecast 2025 January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 January 22, 2020 Related Topics:AI Social Media Industry GrowthAI Social Media Industry SizeAI Social Media Industry TrendsAI In Social Media MarketAI Social Media Market 2019AI In Social Media Market AnalysisAI Social Media Market DemandAI Social Media Market ForecastsAI In Social Media Market GrowthAI In Social Media Market IndustryAI Social Media Market OutlookAI Social Media Market ReportAI Social Media Market ShareAI Social Media Market TrendGlobal AI Social Media Market Up Next Hydraulic Shearing Machine Market Sales Overview, Market Size, Opportunities, Demands, Market Share Growth Analysis 2019 2029 Dont Miss Corked Vials Market Business Opportunities Analysis 2019 2027 Continue Reading You like Know Key Asset AI In Social Media Market By Top Key Players IBM Corporation, Microsoft Corporation, Facebook ., Adobe System orporated., Google LLC Alphabet ., Amazon Web Services ., Clarabridge ., HootSuite Media AI Social Media Market Development 2019 Google, Facebook, Microsoft, AWS, IBM, Adobe Systems, Baidu MARKET REPORT Electrical Bushings Market Size, Analysis, Forecast Report 20192026 Published 1 min ago January 22, 2020 By [emailprotected] The Electrical Bushings 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 Electrical Bushings 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 Electrical Bushings market trends prevail industry. Request Sample Report @ What pointers covered Electrical Bushings market research study? The Electrical Bushings market report Elucidated regards regional landscape industry: The geographical reach Electrical Bushings 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 Electrical Bushings market report Elucidated regards competitive landscape industry: The competitive expanse business flawlessly categorized companies ABB Siemens GE Eaton Nexans Bharat Heavy Electricals LimitedFor complete companies list, ask sample s. The information competitor includes: Company Profile Main Business Information SWOT Analysis Sales, Revenue, Price Gross Margin Market Share For product type segment, report listed main product type Electrical Bushings market gloabal china. Oil Impregnated Paper OIP Resin Impregnated Paper RIP Others For end useapplication segment, report focuses status outlook key applications. End users sre listed. Utilities Industries Others 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. The Electrical Bushings market research study conscientiously mentions separate section enumerates details regards major parameters like price fads key raw material industrial chain analysis, mention, details suppliers raw material. That said, pivotal mention Electrical Bushings market report expounds analysis industry distribution chain, advancing aspects important distributors customer pool. The Electrical Bushings market report enumerates information industry terms market share, market size, revenue forecasts, regional outlook. The report illustrates competitive insights key players business vertical followed overview diverse portfolios growth strategies. You Buy This Report Here @ Some Major Highlights TOC covers: Development Trend Analysis Electrical Bushings Market Global Electrical Bushings Market Trend Analysis Global Electrical Bushings Market Size Volume Value Forecast 20192025 Marketing Channel Direct Marketing Indirect Marketing Electrical Bushings Customers Market Dynamics Market Trends Opportunities Market Drivers Challenges Influence Factors MethodologyResearch Approach Research ProgramsDesign Market Size Estimation Market Breakdown Data Triangulation Data Source About Latest Posts [emailprotected] Latest posts [emailprotected] Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current Future Plans Forecast 2025 January 22, 2020 Finance Lease Market Seeking Growth Emerging Markets, Growth Revenue, Study Drivers, Restraints Forecast 2025 January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 January 22, 2020 Continue Reading MARKET REPORT Bisphenol A Market Industry Current Trends, Opportunities Challenges 2028 Published 1 min ago January 22, 2020 By [emailprotected] Assessment Global Bisphenol A Market The recent study Bisphenol A market comprehensive analysis parameters likely influence growth Bisphenol A market. The historical current market trends taken consideration predicting future prospects Bisphenol A market. Further, study introspects major trends likely impact growth Bisphenol A market forecast period, 20XX20XX. The investors, stakeholders, emerging established players leverage data included report develop impactful growth strategies improve position current Bisphenol A market landscape. The report provides thorough assessment micro macroeconomic factors expected impact growth Bisphenol A market. Request For Discount On This Report @ Competitive Assessment The competitive assessment section provides insights related developments leading players Bisphenol A market terms product development, mergers, collaborations, more. The product portfolio company evaluated pricing structure marketing strategies. Regional Assessment The regional assessment chapter report offers indepth understanding growth prospects Bisphenol A market different geographies as: Enduse Industry The adoption pattern Bisphenol A enduse industries highlighted report represented informative graphs, figures, tables. The different enduse industries studied report include: leading manufacturers profiled report include Bayer Material Science, SABIC Innovative Plastics, Momentive Specialty Chemicals ., Kumho PB Chemicals, Teijin Ltd., Dow Chemicals, Nan Ya Plastics Corporation, Mitsubishi Chemical Holding Corporation Mitsui Chemicals others. These companies profiled covering features company overview, financial overview, business strategies, SWOT analysis, recent developments. To manage scope research certain assumptions made. All market estimates forecast calculated basis sales consumption. Inflation pricing report price kept constant year calculating market size. Given different endusers use different types products, pricing application varies according region estimating forecasting market revenue global basis. The global average bulk prices chemicals computation value market. The market segmented below: Bisphenol A Market: Application Segment Analysis Polycarbonates Epoxy resins Others Flame retardants, unsaturated polyester resin, polyacrylate, polyetherimide, polysulfone resins, Bisphenol A Market: Regional Analysis North America Europe Asia pacific Rest world Request Sample Report @ Valuable Market Insights luded Report Recent collaborations, mergers, acquisitions, partnerships Revenue growth Bisphenol A market assessment period Value chain analysis prominent players Bisphenol A market Regulatory framework different regions impacting Bisphenol A market trajectory Recent technological advances innovations influencing Bisphenol A market The report addresses following queries related Bisphenol A market How production techniques evolved recent years? How emerging players Bisphenol A market establish foothold current Bisphenol A market landscape? The market region expected witness highest growth forecast period? What projected value Bisphenol A market 2019? How emerging players Bisphenol A market solidify position Bisphenol A market? Buy This Report @ About Latest Posts [emailprotected] Latest posts [emailprotected] Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current Future Plans Forecast 2025 January 22, 2020 Finance Lease Market Seeking Growth Emerging Markets, Growth Revenue, Study Drivers, Restraints Forecast 2025 January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 January 22, 2020 Continue Reading MARKET REPORT Waterbased Resin Market Forecast Report Waterbased Resin Market 20192029 Published 1 min ago January 22, 2020 By [emailprotected] Waterbased Resin Market Insights 2019, Global Chinese Scenario professional indepth study current state global Waterbased Resin industry focus Chinese market. The report provides key statistics market status Waterbased Resin manufacturers valuable source guidance direction companies individuals interested industry. Overall, report provides indepth insight 20142024 global Chinese Waterbased Resin market covering important parameters. Request Sample Report @ There 3 key segments covered report: competitor segment, product type segment, end useapplication segment. For competitor segment, report includes global key players Waterbased Resin small players. Dowdupont BASF Lubrizol DSM Allnex Group HexionFor complete companies list, ask sample s. The information Company Profile Main Business Information SWOT Analysis Sales, Revenue, Price Gross Margin Market Share For product type segment, report listed main product type Waterbased Resin market Acrylic Epoxy Alkyd Polyurethane Others For end useapplication segment, report focuses status outlook key applications. End users sre listed. Paints Coatings Adhesives Sealants Inks Others For geography segment, regional supply, applicationwise typewise demand, major players, price presented 2013 2023. This report covers following regions: North America South America Asia Pacific Europe MEA Middle East Africa The key countries region taken consideration well, United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, Brazil etc. Make An EnquiryAbout This Report @ The key points Waterbased Resin Market report: 1.The report provides basic overview Waterbased Resin Market industry including definition, applications manufacturing technology. 2.The Waterbased Resin Market report explores international Chinese major industry players detail. In part, report presents company profile, product specifications, capacity, production value, 20142019 market shares company. 3.Through statistical analysis, report depicts global Chinese total market Waterbased Resin industry including capacity, production, production value, costprofit, supplydemand Chinese importexport. 4.The total market divided company, country, applicationtype competitive landscape analysis. 5.The Waterbased Resin Market report estimates 20192024 market development trends Waterbased Resin industry. Analysis upstream raw materials, downstream demand, current market dynamics carried out. 6.The Waterbased Resin Market report makes important proposals new project Waterbased Resin Industry evaluating feasibility. You Buy This Report Here @ Reasons Purchase Waterbased Resin Market Report: Estimates 20192024 Waterbased Resin market development trends recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic policy aspects Regional country level analysis integrating demand supply forces influencing growth market. Market value USD Million volume Units Million data segment subsegment Competitive landscape involving market share major players, new projects strategies adopted players past years Comprehensive company profiles covering product offerings, key financial information, recent developments, SWOT analysis, strategies employed major market players 1year analyst support, data support excel format. About Latest Posts [emailprotected] Latest posts [emailprotected] Wireless Connectivity Software Market Share, Size, Regional Trend, Future Growth, Leading Players Updates, Industry Demand, Current Future Plans Forecast 2025 January 22, 2020 Finance Lease Market Seeking Growth Emerging Markets, Growth Revenue, Study Drivers, Restraints Forecast 2025 January 22, 2020 Lithopone Market: New Technology, Industry Growth, Size, Share, Future Trends, Opportunity, Top Players, Types, Key Application, Forecast 2025 January 22, 2020 Continue Reading Support Fusion Science AcademyIf enjoy reporting, consider small donation PayPal [emailprotected] small 5 10 help significantly hosting costs. You share articles Facebook, Reddit Twitter. Also sure sign newsletter notified publish new article. 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] | 1 | POSITIVE | 455 |
https://www.businesschief.com/technology-and-ai/gartner-survey-shows-42-percent-ceos-have-begun-digital-business-transformation | 2020-08-03T00:00:00 | en | Gartner survey shows 42 percent of CEOs have begun digital business transformation | Technology & AI | Business Chief North America | Gartner survey shows 42 percent of CEOs have begun digital business transformation | Technology & AI | Business Chief North America | Gartner survey shows 42 percent of CEOs have begun digital business transformation | Gartner survey shows 42 percent CEOs begun digital business transformation Technology AI Business Chief North America | 2,020 | [
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"digital",
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"transformation",
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] | 1 | POSITIVE | 456 |
https://www.techrepublic.com/article/62nd-grammy-winners-predicted-by-artificial-intelligence/ | 2020-01-24T00:00:00 | en | 62nd Grammy winners predicted by artificial intelligence - TechRepublic | 62nd Grammy winners predicted by artificial intelligence - TechRepublic
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62nd Grammy winners predicted by artificial intelligence
by
N.F. Mendoza
in
Artificial Intelligence
on January 24, 2020, 1:03 PM PST
DataRobot hopes to have a repeat performance after successfully using AI to choose last year's song of the year.
Going high-tech with IBM and AI at the Grammys
Artificial intelligence will be the best new accessory at the Grammys in Los Angeles this year, thanks to IBM Watson.
If you've got coin on who'll win at the 62nd annual Grammys this Sunday, predictive tips are available, and it's not insider trading, it's artificial intelligence (AI).Last year, Boston-based data science company DataRobot successfully chose 2019's song of the year, Childish Gambino's "This is America." This year, DataRobot hopes to revisit that win. Some of the top nominees are Lizzo, who has eight nominations, Lil Nas X with six nominations, and Billie Eilish with nominations in the top four categories, according to CBS News.
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Taylor Larkin, a data scientist with the company, used the DataRobot enterprise AI platform to predict the winners for song and record of the year.
DataRobot leverages machine-learning models to learn from the past to predict the future, Larkin said. "For Grammy predictions, the past are previous nominees and winners. The future are the upcoming Grammys."
SEE: How And When To Watch The 2020 GRAMMY Awards (CBS)He added: "Using historical data about the Grammy nominees and winners dating back to 1959, I gave this information to DataRobot, which created hundreds of candidate machine-learning models. I then selected the model that had the best performance on the five most recent award ceremonies." As for accuracy, Larkin said DataRobot "tests and validates each model, ranking them on a leaderboard, by predictive performance. The final model used to make predictions does about 77% better compared to just randomly predicting the past five winners in either category." "The DataRobot platform and the data are constantly evolving," Larkin added. "The former in terms of accuracy and capabilities, and the latter, in terms of variety and availability." SEE:
<strong>The Grammys go high-tech with IBM and artificial intelligence</strong>
(TechRepublic)If the Grammy performers and presenters manage to be drama free, AI will be Monday's watercooler chit chat. In addition to tech-supported predictions, AI pops up on the red carpet. Forget antiquated "who are you wearing?" questions, because AI will keep you entertained pre-show, as the 1,500 artists leap from limos and make their way inside the auditorium. Starting four hours before the televised award show, on Grammy.com, and thanks to a partnership between IBM and the Recording Academy, IBM took more than 18 million documents and data sources on this year's Grammy nominees, and distilled them down to the most interesting nuggets about each of the artists, to create Grammy Insights with Watson, which are a modern-day version of the wildly popular 90s' Pop-Up Video. The last hour of Grammy Insights will air live on CBS.And as the nominees, presenters and attendees run the gauntlet of reporters on the red carpet, they're likely to say who they like, but probably not name any specifics, for fear of "jinxing" or embarrassment. But that's OK. AI has done the job for them. This year's DataRobot predictions for both song and record demonstrate close competition: Song of the YearLewis Capaldi, "Someone You Loved" - 35.25%Billie Eilish, "bad guy" - 33.53%Lana Del Rey, "Norman F***ing Rockwell" - 26.86%Record of the YearBillie Eilish,"bad guy" - 31.10%Lil Nas X, "Old Town Road" - 29.53%Bon Iver, "Hey, Ma" - 19.23% DataRobot isn't resting on its laurels for the accuracy of last year's prediction, and the outcome of Sunday's presentations. The company's AI isn't just for predictions, Larkin said, "DataRobot's use cases are varied and its enterprise AI platform can be used across any industry, such as banking, insurance, healthcare, retail, and much more." The company has assisted small nonprofits "save lives in developing nations, healthcare providers improve patient outcomes, retailers reduce inventory waste, and the world's largest financial institutions better serve their customers and reduce threats," Larkin added.
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Also see Lil Nas X, BTS, Diplo, Billy Ray Cyrus And More To Unite For All-Star Performance At 2020 GRAMMY Awards (CBS)Grammys CEO's claims make waves before awards show (CBS News) 5G mobile networks: An insider's guide (TechRepublic download) Special report: How 5G will transform business (TechRepublic Premium) What is 5G? Everything you need to know about the new wireless revolution (ZDNet) Best cell phone trade-in options for iPhones and Android phones (CNET)5G: More must-read coverage (TechRepublic on Flipboard) Disclosure: The Grammys will air on February 26, 2020 at 8 pm ET on CBS. ViacomCBS is the parent company of CBS Interactive, which owns TechRepublic. Presenters at last year's Grammys, BTS will perform this year.
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N.F. Mendoza is a writer based in Los Angeles. She has more than 20 years experience as a journalist covering film, TV, entertainment, business, and fashion. Her background includes working as an editor and/or reporter for publications including Peop...
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| 62nd Grammy winners predicted by artificial intelligence | 62nd Grammy winners predicted artificial intelligence TechRepublic What looking for? GO IT Policy Downloads 5G Developer Top DaaS providers Security More Excel tips Cloud Big Data Learn Python: Online training Top 2020 DevOps trends Top IT salaries TechRepublic Academy Best VPN Services All Topics Sections: Photos Videos All Writers Newsletters Forums Resource Library TR Premium Editions: US United States Australia United Kingdom Japan Newsletters Forums Resource Library TR Premium View profile Preferences Newsletters Community Log Out What looking for? GO Topics: IT Policy Downloads 5G Developer Top DaaS providers Security Excel tips Cloud Big Data Learn Python: Online training Top 2020 DevOps trends Top IT salaries TechRepublic Academy Best VPN Services All Topics Sections: Photos Videos All Writers Newsletters Forums Resource Library TR Premium Editions: US United States Australia United Kingdom Japan View profile Preferences Newsletters Community Log Out 62nd Grammy winners predicted artificial intelligence N.F. Mendoza Artificial Intelligence January 24, 2020, 1:03 PM PST DataRobot hopes repeat performance successfully AI choose years song year. Going hightech IBM AI Grammys Artificial intelligence best new accessory Grammys Los Angeles year, thanks IBM Watson. If youve got coin wholl win 62nd annual Grammysthis Sunday, predictive tips available, insider trading, itsartificial intelligence AI.Last year, Bostonbased data science company DataRobot successfully chose 2019s song year, Childish Gambinos This America. This year, DataRobot hopes revisit win.Some nominees Lizzo, nominations, Lil Nas X nominations, Billie Eilish nominations categories,according CBS News. More artificial intelligence Google DeepMind founder Demis Hassabis: Three truths AI The 10 indemand AI jobs world The 3 overlooked limitations AI business How machine learning engineer: A cheat sheet Taylor Larkin, data scientist company, DataRobot enterprise AI platform predict winners song record year. DataRobot leverages machinelearning models learn past predict future, Larkin said. For Grammy predictions, past previous nominees winners. The future upcoming Grammys. SEE: How And When To Watch The 2020 GRAMMY AwardsCBSHe added: Using historical data Grammy nominees winners dating 1959, I gave information DataRobot, created hundreds candidate machinelearning models. I selected model best performance recent award ceremonies. As accuracy, Larkin said DataRobot tests validates model, ranking leaderboard, predictive performance. The final model predictions 77 better compared randomly predicting past winners category. The DataRobot platform data constantly evolving, Larkin added. The terms accuracy capabilities, latter, terms variety availability.SEE: <strong>The Grammys hightech IBM artificial intelligence<strong> TechRepublicIf Grammy performers presenters manage drama free, AI Mondays watercooler chit chat. In addition techsupported predictions, AI pops red carpet. Forget antiquated wearing? questions, AI entertained preshow, 1,500 artists leap limos way inside auditorium. Starting hours televised award show, , thanks partnership IBM Recording Academy, IBM took 18 million documents data sources years Grammy nominees, distilled interesting nuggets artists, create Grammy Insights Watson, area modernday version wildly popular 90s PopUp Video. The hour Grammy Insights air live CBS.And nominees, presenters attendees run gauntlet reporters red carpet, theyre likely like, probably specifics, fear jinxing embarrassment. But thats OK. AI job them. This years DataRobot predictions song record demonstrate close competition: Song YearLewis Capaldi, Someone You Loved 35.25Billie Eilish, bad guy 33.53Lana Del Rey, Norman Fing Rockwell 26.86Record YearBillie Eilish,bad guy 31.10Lil Nas X, Old Town Road 29.53Bon Iver, Hey, Ma 19.23DataRobot isnt resting laurels accuracy years prediction, outcome Sundays presentations. The companys AI isnt predictions, Larkin said, DataRobots use cases varied enterprise AI platform industry, banking, insurance, healthcare, retail, more. The company assisted small nonprofits save lives developing nations, healthcare providers improve patient outcomes, retailers reduce inventory waste, worlds largest financial institutions better serve customers reduce threats, Larkin added. Best Week Newsletter Our editors highlight TechRepublic articles, galleries, videos absolutely miss stay current latest IT news, innovations, tips. Fridays Sign today Also Lil Nas X, BTS, Diplo, Billy Ray Cyrus And More To Unite For AllStar Performance At 2020 GRAMMY Awards CBSGrammys CEOs claims waves awards CBS News 5G mobile networks: An insiders guide TechRepublic download Special report: How 5G transform business TechRepublic Premium What 5G? Everything need know new wireless revolution ZDNet Best cell phone tradein options iPhones Android phones CNET5G: More mustread coverage TechRepublic Flipboard Disclosure: The Grammys air February 26, 2020 8 pm ET CBS. ViacomCBS parent company CBS Interactive, owns TechRepublic. Presenters years Grammys, BTS perform year. Image: CBSThe Late Show Stephen Colbert Editors Picks Transgender employees tech: Why progressive industry work Python eating world: How developers project hottest programming language planet How iRobot data science, cloud, DevOps design nextgen smart home robots Beyond PC: Lenovos ambitious plan future computing Straight up: How Kentucky bourbon industry going high tech Inside Raspberry Pi: The story 35 changed world Comment share: 62nd Grammy winners predicted artificial intelligence By N.F. Mendoza N.F. Mendoza writer based Los Angeles. She 20 years experience journalist covering film, TV, entertainment, business, fashion. Her background includes working editor andor reporter publications including Peop... Full Bio See N.F.s content Related Topics: Artificial Intelligence Innovation Internet Things Big Data Analytics Developer Artificial Intelligence ZDNet Show Comments Hide Comments LOG IN TO COMMENT My Profile Log Out Commenting FAQs Community Guidelines Join Discussion LOG IN TO COMMENT Add Comment Editors Picks Transgender employees tech: Why progressive industry work Python eating world: How developers project hottest programming language planet How iRobot data science, cloud, DevOps design nextgen smart home robots Beyond PC: Lenovos ambitious plan future computing Access management policy Bring device BYOD policy Quick glossary: Cybersecurity countermeasures Malware response checklist Services Manage Profile Membership Newsletters RSS Feeds Site Map Site Help Feedback FAQ Advertise Reprint Policy TR Premium CA PrivacyInfo We Collect CA Do Not Sell My Info Explore Blogs Downloads TechRepublic Forums Meet Team TechRepublic Academy TechRepublic Premium Resource Library Photos Videos 2020 CBS Interactive. . 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https://3wnews.org/uncategorised/640557/deep-bioscience-and-ai-market-insights-opportunity-analysis-growth-potential-and-forecast-2020-2026/ | 2020-04-21T00:00:00 | en | Deep Bioscience and AI Market Insights, Opportunity, Analysis, Growth Potential and Forecast 2020-2026 – 3rd Watch News |
Deep Bioscience and AI Market Insights, Opportunity, Analysis, Growth Potential and Forecast 2020-2026 – 3rd Watch News
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HomeGlobal NewsDeep Bioscience and AI Market Insights, Opportunity, Analysis, Growth Potential and Forecast 2020-2026
Deep Bioscience and AI Market Insights, Opportunity, Analysis, Growth Potential and Forecast 2020-2026
Posted On: April 21, 2020
Posted By: [email protected]
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Deep Bioscience and AI:
This report studies the Deep Bioscience and AI Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Deep Bioscience and AI Market analysis segmented by companies, region, type and applications in the report.
The final report will add the analysis of the Impact of COVID-19 in this report Deep Bioscience and AI Industry.
Get a Free Sample Copy @ https://www.reportsandmarkets.com/sample-request/deep-bioscience-and-ai-market-professional-strategic-survey-report-2019-2027
Deep Bioscience and AI Market continues to evolve and expand in terms of the number of companies, products, and applications that illustrates the growth perspectives. The report also covers the list of Product range and Applications with SWOT analysis, CAGR value, further adding the essential business analytics. Deep Bioscience and AI Market research analysis identifies the latest trends and primary factors responsible for market growth enabling the Organizations to flourish with much exposure to the markets.
Market Segment by Regions, regional analysis covers
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)
Research objectives:
To study and analyze the global Deep Bioscience and AI market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2026.
To understand the structure of Deep Bioscience and AI market by identifying its various sub segments.
Focuses on the key global Deep Bioscience and AI players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Deep Bioscience and AI 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 Deep Bioscience and AI submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Inquire More about This Report @ https://www.reportsandmarkets.com/enquiry/deep-bioscience-and-ai-market-professional-strategic-survey-report-2019-2027
The Deep Bioscience and AI Market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.
Table of Contents: Deep Bioscience and AI Market
Chapter 1: Overview of Deep Bioscience and AI Market
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis
Chapter 6: Market Competition Status by Major Manufacturers
Chapter 7: Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis
Chapter 9: Cost and Gross Margin Analysis
Chapter 10: Marketing Status Analysis
Chapter 11: Market Report Conclusion
Chapter 12: Research Methodology and Reference
Key questions answered in this report
What will the market size be in 2026 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
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| Deep Bioscience and AI Market Insights, Opportunity, Analysis, Growth Potential and Forecast 2020-2026 | Deep Bioscience AI Market Insights, Opportunity, Analysis, Growth Potential Forecast 20202026 3rd Watch News Us 3rd Watch News 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal NewsDeep Bioscience AI Market Insights, Opportunity, Analysis, Growth Potential Forecast 20202026 Deep Bioscience AI Market Insights, Opportunity, Analysis, Growth Potential Forecast 20202026 Posted On: April 21, 2020 Posted By: [emailprotected] Comments: 0 Deep Bioscience AI: This report studies Deep Bioscience AI Market aspects industry like market size, market status, market trends forecast, report provides brief information competitors specific growth opportunities key market drivers. Find complete Deep Bioscience AI Market analysis segmented companies, region, type applications report. The final report add analysis Impact COVID19 report Deep Bioscience AI Industry. Get Free Sample Copy @ Deep Bioscience AI Market continues evolve expand terms number companies, products, applications illustrates growth perspectives. The report covers list Product range Applications SWOT analysis, CAGR value, adding essential business analytics. Deep Bioscience AI Market research analysis identifies latest trends primary factors responsible market growth enabling Organizations flourish exposure markets. Market Segment Regions, regional analysis covers North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea, India Southeast Asia South America Brazil, Argentina, Colombia etc. Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Research objectives: To study analyze global Deep Bioscience AI market size key regionscountries, product type application, history data 2013 2017, forecast 2026. To understand structure Deep Bioscience AI market identifying sub segments. Focuses key global Deep Bioscience AI players, define, analyze value, market share, market competition landscape, SWOT analysis development plans years. To analyze Deep Bioscience AI respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project size Deep Bioscience AI submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Inquire More This Report @ The Deep Bioscience AI Market research report completely covers vital statistics capacity, production, value, costprofit, supplydemand importexport, divided company country, applicationtype best possible updated data representation figures, tables, pie chart, graphs. These data representations provide predictive data future estimations convincing market growth. The detailed comprehensive knowledge publishers makes box case market analysis. Table Contents: Deep Bioscience AI Market Chapter 1: Overview Deep Bioscience AI Market Chapter 2: Global Market Status Forecast Regions Chapter 3: Global Market Status Forecast Types Chapter 4: Global Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Chapter 6: Market Competition Status Major Manufacturers Chapter 7: Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Chapter 9: Cost Gross Margin Analysis Chapter 10: Marketing Status Analysis Chapter 11: Market Report Conclusion Chapter 12: Research Methodology Reference Key questions answered report What market size 2026 growth rate be? What key market trends? What driving market? What challenges market growth? Who key vendors market space? What market opportunities threats faced key vendors? What strengths weaknesses key vendors? Get Complete Report @ : allocates globally available market research company reports reputed market research companies pioneer respective domains. We completely autonomous group serves clients offering trustworthy available research stuff, know essential aspect Market Research. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Deep Bioscience AIDeep Bioscience AI MarketDeep Bioscience AI Market Analysis Post navigation Prev Post Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Recent Posts Deep Bioscience AI Market Insights, Opportunity, Analysis, Growth Potential Forecast 20202026 Research Automotive Motion Sensor Market impact COVID19 Top Players: Bosch Sensortec GmbH Germany, Freescale Semiconductor Ltd. US, InvenSense, . 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] | 1 | POSITIVE | 458 |
https://www.azom.com/news.aspx?newsID=53684 | 2020-06-10T00:00:00 | en |
Structures, Atomic Dynamics of Nanoparticles Predicted by Machine Learning
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Structures, Atomic Dynamics of Nanoparticles Predicted by Machine Learning
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| Nanomaterials and Nanotechnology | Modeling and Simulation
Structures, Atomic Dynamics of Nanoparticles Predicted by Machine Learning
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Written by AZoMJun 10 2020
Researchers at the Nanoscience Center and at the Faculty of Information Technology at the University of Jyväskylä in Finland have demonstrated that new distance-based machine learning methods, developed in the University of Jyväskylä, are capable of predicting structures and atomic dynamics of nanoparticles reliably.
The new methods are significantly faster than traditional simulation methods used for nanoparticle research and will facilitate more efficient explorations of particle-particle reactions and particles' functionality in their environment. The study was published in a Special Issue devoted to machine learning in The Journal of Physical Chemistry on May 15, 2020.
The new methods were applied to ligand-stabilized metal nanoparticles, which have been long studied at the Nanoscience Center at the University of Jyväskylä. Last year, the researchers published a method that is able to successfully predict binding sites of the stabilizing ligand molecules on the nanoparticle surface.
Now, a new tool was created that can reliably predict potential energy based on the atomic structure of the particle, without the need to use numerically heavy electronic structure computations. The tool facilitates Monte Carlo simulations of the atom dynamics of the particles at elevated temperatures.
Potential energy of a system is a fundamental quantity in computational nanoscience, since it allows for quantitative evaluations of system's stability, rates of chemical reactions and strengths of interatomic bonds.
Ligand-stabilized metal nanoparticles have many types of interatomic bonds of varying chemical strength, and traditionally the energy evaluations have been done by using the so-called density functional theory (DFT) that often results in numerically heavy computations requiring the use of supercomputers.
This has precluded efficient simulations to understand nanoparticles' functionalities, e.g., as catalysts, or interactions with biological objects such as proteins, viruses, or DNA. Machine learning methods, once trained to model the systems reliably, can speed up the simulations by several orders of magnitude.
The new method allowed simulations to be run on a laptop or desktop
Related StoriesStudy on The Characteristics of Nanosized Nickel Particles Using Sodium Borohydride to Promote ConversionProcess and Application of Lightweight StructuresStainless Steel - Surface Contamination in FabricationIn this work the researchers used the potential energies, predicted by the machine learning method, to simulate the atomic dynamics of thiol-stabilized gold nanoparticles. The results were in good agreement with the simulations performed by using the density functional theory.
The new method allowed simulations to be run on a laptop or desktop in a time scale of a few hours while the reference DFT simulations took days in a supercomputer and used simultaneously hundreds or even thousands of computer cores. The speed-up will allow long-time simulations of the particles' structural changes and particle-particle reactions at elevated temperatures.
The researchers used a distance-based machine learning method developed in the group of professor Tommi Kärkkäinen in Jyväskylä. It describes each momentary atomic configuration of a nanoparticle by calculating a so-called descriptor, and compares distances between descriptors in a multi-dimensional numerical space.
By using correlations to a training set created by the reference DFT simulations, the potential energy can be predicted. This approach, used now for the first time in nanoparticle research, is simpler and more transparent than traditionally used neural networks.
"It is extremely motivating that we can reduce the computational load from running simulations in supercomputers to running them with similar quality in a laptop or a home PC", says PhD student Antti Pihlajamäki who is the lead author of the study.
"It was a great surprise that our relatively simple machine learning methods work so well for complicated nanostructures", states professor Tommi Kärkkäinen.
"In the next phase, our target is to generalize the method to work well for nanoparticles of many different sizes and chemical compositions. We will still need supercomputers to generate enough high-quality data to train the machine learning algorithm, but we hope that in the future we can move to use these new methods primarily to studies of nanoparticle functionality in complicated chemical environments", summarizes Academy Professor Hannu Häkkinen, who coordinated the study.
Other co-authors of the study include University Researcher Sami Malola, University Lecturer Paavo Nieminen, post doctoral researcher Joonas Hämäläinen, and PhD student Joakim Linja. The work was funded by the Finnish Academy's AIPSE program (Artificial Intelligence in Physical Sciences and Engineering Research).
Source: https://www.jyu.fi/en
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Structures, Atomic Dynamics of Nanoparticles Predicted by Machine Learning
| Structures, Atomic Dynamics Nanoparticles Predicted Machine Learning About News Articles Directory Equipment Videos Webinars Advertise More... Metals Store Journals Software Courses Market Reports Books Newsletters Metals Store Journals Software Courses Market Reports Books Newsletters Facebook Twitter Become Member Menu Posted Nanomaterials Nanotechnology Modeling Simulation Structures, Atomic Dynamics Nanoparticles Predicted Machine Learning Download PDF Copy Written AZoMJun 10 2020 Researchers Nanoscience Center Faculty Information Technology University Jyvskyl Finland demonstrated new distancebased machine learning methods, developed University Jyvskyl, capable predicting structures atomic dynamics nanoparticles reliably. The new methods significantly faster traditional simulation methods nanoparticle research facilitate efficient explorations particleparticle reactions particles functionality environment. The study published Special Issue devoted machine learning The Journal Physical Chemistry May 15, 2020. The new methods applied ligandstabilized metal nanoparticles, long studied Nanoscience Center University Jyvskyl. Last year, researchers published method able successfully predict binding sites stabilizing ligand molecules nanoparticle surface. Now, new tool created reliably predict potential energy based atomic structure particle, need use numerically heavy electronic structure computations. The tool facilitates Monte Carlo simulations atom dynamics particles elevated temperatures. Potential energy fundamental quantity computational nanoscience, allows quantitative evaluations systems stability, rates chemical reactions strengths interatomic bonds. Ligandstabilized metal nanoparticles types interatomic bonds varying chemical strength, traditionally energy evaluations socalled density functional theory DFT results numerically heavy computations requiring use supercomputers. This precluded efficient simulations understand nanoparticles functionalities, e.g., catalysts, interactions biological objects proteins, viruses, DNA. Machine learning methods, trained model systems reliably, speed simulations orders magnitude. The new method allowed simulations run laptop desktop Related StoriesStudy The Characteristics Nanosized Nickel Particles Using Sodium Borohydride Promote ConversionProcess Application Lightweight StructuresStainless Steel Surface Contamination FabricationIn work researchers potential energies, predicted machine learning method, simulate atomic dynamics thiolstabilized gold nanoparticles. The results good agreement simulations performed density functional theory. The new method allowed simulations run laptop desktop time scale hours reference DFT simulations took days supercomputer simultaneously hundreds thousands cores. The speedup allow longtime simulations particles structural changes particleparticle reactions elevated temperatures. The researchers distancebased machine learning method developed group professor Tommi Krkkinen Jyvskyl. It describes momentary atomic configuration nanoparticle calculating socalled descriptor, compares distances descriptors multidimensional numerical space. By correlations training set created reference DFT simulations, potential energy predicted. This approach, time nanoparticle research, simpler transparent traditionally neural networks. It extremely motivating reduce computational load running simulations supercomputers running similar quality laptop home PC, says PhD student Antti Pihlajamki lead author study. It great surprise relatively simple machine learning methods work complicated nanostructures, states professor Tommi Krkkinen. In phase, target generalize method work nanoparticles different sizes chemical compositions. We need supercomputers generate highquality data train machine learning algorithm, hope future use new methods primarily studies nanoparticle functionality complicated chemical environments, summarizes Academy Professor Hannu Hkkinen, coordinated study. Other coauthors study include University Researcher Sami Malola, University Lecturer Paavo Nieminen, post doctoral researcher Joonas Hmlinen, PhD student Joakim Linja. The work funded Finnish Academys AIPSE program Artificial Intelligence Physical Sciences Engineering Research. Source: Download PDF Copy Comments Tell Us What You Think Do review, update like add news story? Cancel reply comment Leave feedback Logout Public Comment Private Feedback Submit Latestinterviews Featuredequipment Trendingstories Ensuring Durability Longterm Cost Effective Materials Defence Industry Dr. Aphrodite Tomou In interview, Dr. Aphrodite explains role Goodfellow plays sourcing materials ensure durability longterm cost effectiveness defence industry. The Advantages DynamicCT Over Conventional MicroCT Arno Merkle In interview, AZoM speaks Arno Merkle, Product Marketing Director TESCAN microCT business division. How rease Efficiency Engine Trim Balance Aviation Ken Ameika AZoM spoke Ken Ameika MTI Instruments efficiently perform engine trim balance aviation industry. Holey Film TEM Grids Premier Sample SupportThe new holey film TEM grids Protochips premier new product support samples. From Protochips PRESTO W56SingleStage Dynamic Temperature Control SystemThe watercooled Presto W56 powerful, singlestage dynamic temperature control Julabo handle highperformance applications efficiently. From JULABO GMBH Softening Point DP Excellence METTLER TOLEDODropping Point Systems like DP Excellence measure softening point dropping point materials determine quality purity. From MettlerToledo International . 1 HighPerformance Sustainable Structural Material Replace Plastic2 New Study Details 3D Printing Processes HighEntropy Alloy Products3 New SolidState ThinFilm Battery Miniature Devices Sensors4 New Aluminum Alloy Inactivates Virus, Bacteria Prevent Infections5 LowTemperature Method Create Better Perovskite Crystals Solar Cells6 GrapheneReinforced Carbon Fiber May Lead LowCost, HighStrength Car Materials Sponsored Content Linking Powder Rheology Characterization Spreadability Powder BedBased AM From Granutools 8 Jun 2020 Lithographic Additive Manufacturing Silicon Nitride Advanced Ceramics From International Syalons 8 Jun 2020 Investigating Ceramics 5G Antenna Development From Thermo Fisher Scientific Elemental Analyzers Phase Analyzers 5 Jun 2020 Selecting Right Crucible Glass Production From MoSci Corp. 4 Jun 2020 Newsletters interested Artificial Intelligence Healthcare Preview Genomics Preview Medical Device Preview See Newsletters Other Sites AZoNetwork AZoNanoAZoRoboticsAZoCleantechAZoOpticsAZoBuild AZoMiningAZoSensorsAZoQuantumNews MedicalLife Sciences Useful Links News Articles Directory Equipment Books Videos Events Metals Store Journals Software Courses Webinars Market Reports Materials Applications Industries AZojomo Podcasts Experts The Team Become Member Newsletters About HelpFAQs Advertise Terms Conditions Privacy Policy Update Your Privacy Preferences Sitemap Facebook Twitter An AZoNetwork Site Owned operated AZoNetwork, 20002020 We use cookies enhance experience. 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https://www.wthitv.com/content/national/573338551.html?ref=551 | 2020-12-09T00:00:00 | en | Raid of former Florida Covid data scientist's home could affect other state employees, legal experts warn |
Raid of former Florida Covid data scientist's home could affect other state employees, legal experts warn
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Raid of former Florida Covid data scientist's home could affect other state employees, legal experts warn
A former Florida state data scientist whose house was raided by police on Monday says she isn't just worried about the legal ramifications she's facing -- but about other state employees who leaked her damaging information about Florida's coronavirus response. CNN's Drew Griffin reports.
Posted: Dec 8, 2020 9:10 PM
Updated: Dec 8, 2020 9:10 PM
Posted By: By Casey Tolan and Curt Devine, CNN
The former Florida state data scientist whose house was raided by police on Monday says she isn't just worried about the legal ramifications she's facing, but also for other state employees who leaked her damaging information on Florida's coronavirus response.
Rebekah Jones, who was fired after accusing Gov. Ron DeSantis' administration of minimizing the pandemic and skewing state data, attracted national attention after her house was raided by armed state police on Monday morning. State authorities are investigating whether she accessed a government messaging system without authorization to send a message urging her former colleagues to speak out about coronavirus deaths.
Jones has denied sending the message, but she told CNN she fears the computers and phone that state police seized from her Tallahassee home could expose her sources in the government to retaliation.
"On my phone is every communication I've ever had with someone who works at the state, who has come to me in confidence and told me things that could get them fired or in trouble like this," Jones told CNN's Chris Cuomo on Monday night. "And I just want to say to all those people right now, if he doesn't know already, DeSantis will know soon enough that you've been talking to me. So be careful."
Jones was fired from the state health department in May. She claims she was terminated for refusing to manipulate coronavirus data, but state officials have said she was insubordinate and didn't consult with epidemiological experts.
Since her firing, she's emerged as a public critic of the DeSantis administration's approach to the pandemic, blasting the governor and publishing her own dashboard of coronavirus stats. Jones said she received various internal records from people who worked for the state, including what she said was proof that state officials "were lying in January about things like internal reports and notices from the CDC."
That evidence was on "a bunch of flash drives" that officers took when they raided her house, she said. Jones, who was not arrested or criminally charged, also had documents that she had legally accessed when she was a state employee, she said.
Now, legal experts say, the material could theoretically be used to target Jones' sources if they violated rules about sharing internal information. The search warrant allowed officers to recover "any and all computer equipment" that stores or transmits data, including hard drives, devices, software, and correspondence "pertaining to the possession, receipt, origin or distribution of data involving the facilitation of computer crimes offenses."
"The warrant was extremely broad," Lawrence Walters, Jones' attorney, told CNN. "We would hope that this is a targeted investigation to search for what they claim they were searching for. ... If their true intent is to investigate all of her personal communications and investigate her sources, that would demonstrate this is abusive and retaliatory."
Still, he said, "we cannot stop them looking at what they have."
A spokesperson for the state Department of Law Enforcement said agents are currently only investigating Jones but still analyzing evidence.
"At this point we are only investigating her for the cybercrime," said spokesperson Gretl Plessinger. "If we do receive other information about other crimes or that could lead to another suspect, obviously we will follow up on that."
Why Jones' sources should be 'nervous'
Employment attorneys in Florida said that state workers who leaked internal records to Jones could face disciplinary action or possibly legal trouble -- although they might be able to seek protection under state whistleblower laws.
Jones filed a whistleblower complaint with the Florida Commission on Human Relations in July, asking to be reinstated with back pay. That complaint is still pending and is confidential at this stage of the process, according to Walters, her lawyer.
Cathleen Scott, a Florida employment lawyer who isn't involved in the case, said that because of that complaint, people who leaked to Jones with the purpose of assisting her whistleblowing may be able to argue they should be protected from retaliation by the state. In some circumstances, "if you disclose information in furtherance of whistleblowing, you'd be protected for that," Scott said.
But Matthew Fenton, another employment lawyer in the state, said he would be "nervous" if he were one of Jones' sources in the government.
Public employees who want to be whistleblowers under Florida law generally have to disclose information to specific government authorities, he said. "Somebody who is just leaking her information is not following the chain of command," he said. "These informal channels would be significantly less protected."
The investigation centers around whether Jones used a state government messaging system without authorization. According to the affidavit by an agent with the law enforcement department, an unauthorized individual illegally accessed an emergency management system to send a group text message to government officials last month urging them to speak out about the coronavirus crisis.
"It's time to speak up before another 17,000 people are dead," the message said, according to the affidavit. "You know this is wrong. You don't have to be part of this. Be a hero. Speak out before it's too late."
Officials traced the message, which was sent on the afternoon of November 10, to an IP address connected to Jones' house, the agent wrote in the affidavit.
The affidavit also raised questions about the health department's cybersecurity practices. According to the agent, all users on the emergency planning group -- who included health department employees and employees of other government agencies -- logged in with the same username and password. The message went out to about 1,750 people before the software vendor stopped it, the affidavit said.
Cybersecurity experts said they were surprised that the state would use a messaging service with such a weak security protocol. Mark Tehranipoor, a cybersecurity professor at the University of Florida and the director of the Florida Institute for Cybersecurity Research, said the procedure raised huge red flags.
Users sharing the same username and password "magnifies the possibility of that password being leaked, intentionally or unintentionally," Tehranipoor said. "It's just a very outdated thing to do."
But just because someone didn't engage in any kind of advanced hacking to access the message system doesn't mean logging into the system without authorization wasn't a crime. The Florida law cited in the search warrant says it's illegal for anyone to access "any computer, computer system, computer network, or electronic device with knowledge that such access is unauthorized or the manner of use exceeds authorization."
The state health department didn't respond to a request for comment about its cybersecurity practices.
DeSantis facing growing criticism over Covid response
The investigation of Jones comes as DeSantis is facing increasing scrutiny over his handling of the coronavirus pandemic.
Even as coronavirus cases in Florida have spiked again over the last month and a half, DeSantis has refused to allow municipalities in the state to enforce their own mask mandates or stricter social distancing laws. That limitation of local control has been criticized by mayors from both parties.
An investigation by the South Florida Sun-Sentinel published last week found that DeSantis' administration worked to minimize bad news about the pandemic and spread misinformation. Some health department spokespeople were told in September not to issue statements until after the November election, and officials withheld crucial data about the spread of the virus, the newspaper reported.
Jones, who helped build the state's coronavirus dashboard, has become one of the governor's harshest critics, publicly alleging that DeSantis was to blame for the mounting death toll.
She said that she thought the raid was an attempt by DeSantis to silence her, and a sign of how her criticism has been a thorn in the side of his administration. "I had six straight months of success against him in destroying his reputation," she said.
But DeSantis' office says he had no advance knowledge of the raid.
"The Governor was not aware of the investigation nor will he offer his opinion on what information should or should not be used in any criminal prosecution," DeSantis spokesperson Fred Piccolo told CNN. "This is a case involving the unauthorized use of a text message system that Floridians rely on for timely, fact based updates. The Governor has every confidence in law enforcement to address the matter and the courts to adjudicate it."
State police raid criticized as 'over-the-top'
A day after the raid, there was also disagreement over exactly what happened inside Jones' Tallahassee home.
Jones released a video she took showing an officer pointing his gun up a stairwell in her house. She said he was pointing the firearm at her 2-year-old daughter, 11-year-old son and her husband, who she said were in the stairwell, although the video doesn't make that clear. Outside her house, out of sight of the video, another officer "pointed a gun six inches from my face," Jones said.
But Rick Swearingen, the department's commissioner, said in a statement that "at no time were weapons pointed at anyone in the home." Agents knocked on her door and called Jones on the phone multiple times, and she hung up on them and refused to come to the door for about 23 minutes, the department said. The department did not respond to a question about whether the officers at her house were wearing body cameras.
"Agents exercised tremendous restraint throughout the execution of the search warrant yesterday, especially considering the significant delay they faced in gaining entry," said Plessinger, a spokesperson for the department.
Walters, Jones' lawyer, said "she took a few minutes to get dressed because she believed the police were there to arrest her."
The dramatic video that Jones took of officers entering her house with guns drawn quickly went viral, and her tweet with a clip of the video had more than 120,000 retweets as of Tuesday morning.
Several Democratic elected officials in the state condemned the raid.
"The guns drawn FDLE raid on the home of Rebekah Jones was shocking, over-the-top, and demands a full explanation," Charlie Crist, a congressman and former Florida governor, said in a statement. "Unless we get more information showing otherwise, it looks like an act of retaliation or an attempt to silence Ms. Jones for her critiques of the state's COVID-19 response."
And Ron Filipkowski, a lawyer appointed by DeSantis to a judicial nomination commission, publicly resigned Tuesday in what he said was a protest over the governor's handling of the coronavirus crisis and the raid of Jones' home.
"This is not being done to ferret out a crime," Filipkowski told CNN. "It's being done to intimidate."
Jones said that while she wouldn't stop her work publishing coronavirus data, she was planning to move her family away from Florida.
"We're going to move the hell out of here," she said. "It's one thing to point a gun at me, it's a completely different one to point it at my children."
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| Raid of former Florida Covid data scientist's home could affect other state employees, legal experts warn | Raid Florida Covid data scientists home affect state employees, legal experts warn Home News Local News Crime COVID19 Coronavirus Indiana Coronavirus Cases Illinois Coronavirus Cases Education Health Indiana Illinois Southern Indiana US World Politics Consumer Federal Executions Weather Alerts Closings Delays Interactive Radar Maps Radars Tower Cams Weather Blog Ask The Storm Team Kevins Weather Weather Pics Sports College High School Indiana State Video On Demand Watch Now TV Apps YouTube Features Off Beaten Path Community Calendar Contests Deals Feeding America Fork Favorites Fork In The Road Golden Apple Healthy Living Local Business Directory Make Difference Pros Who Know Pump Watch Workforce FIT Report It Watch CBS News Livestream Eye On Terre Haute Pledge Allegiance Real Estate Television Schedule Us Digital Marketing News Team Our Apps Text Alerts WTHI Jobs Newsletters Clear Home News Local News Crime COVID19 Coronavirus Indiana Coronavirus Cases Illinois Coronavirus Cases Education Health Indiana Illinois Southern Indiana US World Politics Consumer Federal Executions Weather Alerts Closings Delays Interactive Radar Maps Radars Tower Cams Weather Blog Ask The Storm Team Kevins Weather Weather Pics Sports College High School Indiana State Video On Demand Watch Now TV Apps YouTube Features Off Beaten Path Community Calendar Contests Deals Feeding America Fork Favorites Fork In The Road Golden Apple Healthy Living Local Business Directory Make Difference Pros Who Know Pump Watch Workforce FIT Report It Watch CBS News Livestream Eye On Terre Haute Pledge Allegiance Real Estate Television Schedule Us Digital Marketing News Team Our Apps Text Alerts WTHI Jobs Newsletters < 20191231 11:00:03pm > < 20190910 09:05:01pm > < 20190910 09:00:02pm > < 20190910 08:55:02pm > < 20190910 08:50:02pm > Raid Florida Covid data scientists home affect state employees, legal experts warn A Florida state data scientist house raided police Monday says isnt worried legal ramifications shes facing state employees leaked damaging information Floridas coronavirus response. CNNs Drew Griffin reports. Posted: Dec 8, 2020 9:10 PM Updated: Dec 8, 2020 9:10 PM Posted By: By Casey Tolan Curt Devine, CNN The Florida state data scientist house raided police Monday says isnt worried legal ramifications shes facing, state employees leaked damaging information Floridas coronavirus response. Rebekah Jones, fired accusing Gov. Ron DeSantis administration minimizing pandemic skewing state data, attracted national attention house raided armed state police Monday morning. State authorities investigating accessed government messaging authorization send message urging colleagues speak coronavirus deaths. Jones denied sending message, told CNN fears computers phone state police seized Tallahassee home expose sources government retaliation. On phone communication Ive works state, come confidence told things fired trouble like this, Jones told CNNs Chris Cuomo Monday night. And I want people right now, doesnt know already, DeSantis know soon youve talking me. So careful. Jones fired state health department May. She claims terminated refusing manipulate coronavirus data, state officials said insubordinate didnt consult epidemiological experts. Since firing, shes emerged public critic DeSantis administrations approach pandemic, blasting governor publishing dashboard coronavirus stats. Jones said received internal records people worked state, including said proof state officials lying January things like internal reports notices CDC. That evidence bunch flash drives officers took raided house, said. Jones, arrested criminally charged, documents legally accessed state employee, said. Now, legal experts say, material theoretically target Jones sources violated rules sharing internal information. The search warrant allowed officers recover equipment stores transmits data, including hard drives, devices, software, correspondence pertaining possession, receipt, origin distribution data involving facilitation crimes offenses. The warrant extremely broad, Lawrence Walters, Jones attorney, told CNN. We hope targeted investigation search claim searching for. ... If true intent investigate personal communications investigate sources, demonstrate abusive retaliatory. Still, said, stop looking have. A spokesperson state Department Law Enforcement said agents currently investigating Jones analyzing evidence. At point investigating cybercrime, said spokesperson Gretl Plessinger. If receive information crimes lead suspect, obviously follow that. Why Jones sources nervous Employment attorneys Florida said state workers leaked internal records Jones face disciplinary action possibly legal trouble able seek protection state whistleblower laws. Jones filed whistleblower complaint Florida Commission Human Relations July, asking reinstated pay. That complaint pending confidential stage process, according Walters, lawyer. Cathleen Scott, Florida employment lawyer isnt involved case, said complaint, people leaked Jones purpose assisting whistleblowing able argue protected retaliation state. In circumstances, disclose information furtherance whistleblowing, youd protected that, Scott said. But Matthew Fenton, employment lawyer state, said nervous Jones sources government. Public employees want whistleblowers Florida law generally disclose information specific government authorities, said. Somebody leaking information following chain command, said. These informal channels significantly protected. The investigation centers Jones state government messaging authorization. According affidavit agent law enforcement department, unauthorized individual illegally accessed emergency management send group text message government officials month urging speak coronavirus crisis. Its time speak 17,000 people dead, message said, according affidavit. You know wrong. You dont this. Be hero. Speak late. Officials traced message, sent afternoon November 10, IP address connected Jones house, agent wrote affidavit. The affidavit raised questions health departments cybersecurity practices. According agent, users emergency planning group included health department employees employees government agencies logged username password. The message went 1,750 people software vendor stopped it, affidavit said. Cybersecurity experts said surprised state use messaging service weak security protocol. Mark Tehranipoor, cybersecurity professor University Florida director Florida Institute Cybersecurity Research, said procedure raised huge red flags. Users sharing username password magnifies possibility password leaked, intentionally unintentionally, Tehranipoor said. Its outdated thing do. But didnt engage kind advanced hacking access message doesnt mean logging authorization wasnt crime. The Florida law cited search warrant says illegal access computer, system, network, electronic device knowledge access unauthorized manner use exceeds authorization. The state health department didnt respond request comment cybersecurity practices. DeSantis facing growing criticism Covid response The investigation Jones comes DeSantis facing increasing scrutiny handling coronavirus pandemic. Even coronavirus cases Florida spiked month half, DeSantis refused allow municipalities state enforce mask mandates stricter social distancing laws. That limitation local control criticized mayors parties. An investigation South Florida SunSentinel published week DeSantis administration worked minimize bad news pandemic spread misinformation. Some health department spokespeople told September issue statements November election, officials withheld crucial data spread virus, newspaper reported. Jones, helped build states coronavirus dashboard, governors harshest critics, publicly alleging DeSantis blame mounting death toll. She said thought raid attempt DeSantis silence her, sign criticism thorn administration. I straight months success destroying reputation, said. But DeSantis office says advance knowledge raid. The Governor aware investigation offer opinion information criminal prosecution, DeSantis spokesperson Fred Piccolo told CNN. This case involving unauthorized use text message Floridians rely timely, fact based updates. The Governor confidence law enforcement address matter courts adjudicate it. State police raid criticized overthetop A day raid, disagreement exactly happened inside Jones Tallahassee home. Jones released video took showing officer pointing gun stairwell house. She said pointing firearm 2yearold daughter, 11yearold son husband, said stairwell, video doesnt clear. Outside house, sight video, officer pointed gun inches face, Jones said. But Rick Swearingen, departments commissioner, said statement time weapons pointed home. Agents knocked door called Jones phone multiple times, hung refused come door 23 minutes, department said. The department respond question officers house wearing body cameras. Agents exercised tremendous restraint execution search warrant yesterday, especially considering significant delay faced gaining entry, said Plessinger, spokesperson department. Walters, Jones lawyer, said took minutes dressed believed police arrest her. The dramatic video Jones took officers entering house guns drawn quickly went viral, tweet clip video 120,000 retweets Tuesday morning. Several Democratic elected officials state condemned raid. The guns drawn FDLE raid home Rebekah Jones shocking, overthetop, demands explanation, Charlie Crist, congressman Florida governor, said statement. Unless information showing otherwise, looks like act retaliation attempt silence Ms. Jones critiques states COVID19 response. And Ron Filipkowski, lawyer appointed DeSantis judicial nomination commission, publicly resigned Tuesday said protest governors handling coronavirus crisis raid Jones home. This ferret crime, Filipkowski told CNN. Its intimidate. Jones said wouldnt stop work publishing coronavirus data, planning family away Florida. Were going hell here, said. Its thing point gun me, completely different point children. Related Content Raid Florida Covid data scientists home affect state employees, legal experts warn Experts questions AstraZenecas vaccine data Nobelwinning scientists issue stark Brexit warning Wildfire scientists Paradise warning Encouraging data Covid19 vaccines wont prevent dangerous stretch rising cases, experts warn Experts caution covid slide looming children school Scientists captured record 17footlong python Florida Will new Justice Dept. guidance affect legal pot? 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Terre HauteClear33 Hi: 42 Lo: 32Feels Like: 33More Weather RobinsonClear29 Hi: 39 Lo: 31Feels Like: 29More Weather IndianapolisBroken Clouds34 Hi: 39 Lo: 33Feels Like: 25More Weather RockvilleOvercast32 Hi: 39 Lo: 32Feels Like: 24More Weather CaseyClear34 Hi: 38 Lo: 32Feels Like: 30More Weather BrazilClear33 Hi: 40 Lo: 32Feels Like: 33More Weather MarshallClear33 Hi: 39 Lo: 32Feels Like: 33More Weather Some Late Clearing Planner Temps Radar Most Popular Stories One family left pick pieces loved died collapsing Vigo County jail Police arrest connection series armed robberies Indiana Illinois Police release information eightyearold Sullivan County murder investigation Fire Harrison Apartments Terre Haute raises suspicion Crawfordsville standoff ends shooting suspect Newly discovered surveillance footage reveal answers unsolved murder GOP leadership rejects resolution acknowledging Biden Presidentelect Knox County sees highest single day reported COVID19 cases. One church eliminating folks medical debt Trump ratchets pace executions Biden inaugural Latest Video South Vermillion Schools makes eLearning The Grinch CASA set deliver toys Wabash Valley children Marines hit stores shopping Toys Tots campaign Work continues pedestrian bridge connecting Terre Haute West Terre Haute Police arrest connection series armed robberies Indiana Illinois Illinois Governor urges residents COVID19 vaccine available FDA approves athome COVID19 testing kit Students Washington Community Schools return classroom Country Oaks Eagle Ridge Forest Park Geneva Hills Hulman Links Parks Par 3 Marshall Golf Course Phi Newly discovered surveillance footage reveal answers unsolved murder In Case You Missed It Heres energy assistance help winter VIDEO: Merom Bluff fall Burn ban effect Vigo county McDonalds offer free drinks teachers week Researchers study jail populations pandemic Salvation Army start new monthly food drive BOP resuming inmate visitation month cases climb FCC Spiritual advisor says Keith Nelson resigned fact executed Friday Reminder: Tax Day July 15th Terre Haute Childrens Museum opens Thursday Illinois Coronavirus Cases Widget updates daily 7 p.m. CT Cases: 796264Reported Deaths: 14214View CountiesCountyCasesDeathsCook3326937018DuPage51051850Will43192621Lake40932683Kane34854504Winnebago20645300Madison16348287McHenry15618175St. Clair15140280Champaign1178870Sangamon11183121Peoria10331148Kankakee9406123McLean939461Rock Island9314170Tazewell7859132Macon7015151Kendall696757LaSalle6885153DeKalb554651Adams507157Vermilion451363Boone422740Whiteside4077142Williamson406091Clinton364965Coles354764Ogle321549Effingham316331Grundy314726Knox314585Henry300924Jackson298839Marion279867Stephenson268342Randolph256428Macoupin254727Livingston251541Morgan244950Monroe235348Franklin234432Bureau233855Lee221742Jefferson215063Woodford206532Christian205647Fayette204140Logan200926Iroquois192735Fulton172215McDonough169944Shelby153827Douglas151019Jersey149625Montgomery132520Union132029Lawrence127914Perry127633Crawford123516Saline123331Bond120512Warren120024Jo Daviess117921Carroll116227Cass112224Pike110532Hancock105717Wayne103435Moultrie101811Clay99423Edgar96017Greene94034Richland92721Clark88021Ford87327Piatt8625Mercer86014Washington8483Johnson80710Mason79927Jasper72912Cumberland72821White71212Massac70810Wabash7069De Witt68718Menard5542Pulaski4672Marshall4597Hamilton4374Schuyler3702Brown3486Stark3317Henderson3303Unassigned3090Calhoun2941Alexander2764Putnam2680Edwards2664Scott2650Gallatin2233Hardin1662Pope1271Out IL110 Indiana Coronavirus Cases Widget updates daily 8 p.m. ET Cases: 387278Reported Deaths: 6284View CountiesCountyCasesDeathsMarion52737919Lake32448495Allen22138354St. Joseph20139262Elkhart19604256Hamilton16947186Vanderburgh11730140Tippecanoe1106438Porter9976100Johnson8481182Hendricks8048169Vigo7253114Monroe639559Madison6313129Clark616587Delaware5904110LaPorte5637109Kosciusko542851Howard461682Bartholomew413168Warrick391277Wayne3891101Floyd386380Marshall364852Grant356957Hancock352167Cass339932Noble314350Boone312456Henry302142Dubois298234Jackson290738Morgan287047Dearborn277033Shelby239463Gibson238538Clinton229025DeKalb228038Knox226327Lawrence224353Wabash209627Adams209326Miami207820Montgomery192530Daviess187855Jasper187617Ripley184527Harrison183826Steuben183516Whitley176717Fayette174540LaGrange169136Huntington168912White166624Putnam165333Decatur160446Wells155239Randolph152525Jefferson151620Clay150627Posey147022Scott140927Greene132954Jay124518Sullivan122218Jennings119518Starke115328Fountain107310Fulton105420Spencer10299Washington9849Perry94421Carroll88713Franklin87128Orange84528Owen84013Vermillion83414Parke8106Rush7288Tipton72729Blackford70218Newton66516Pike65021Pulaski56121Benton5043Brown4786Martin4336Crawford4062Union3192Switzerland3185Warren3173Ohio2697Unassigned0298 Get In Touch With Us News 10 WTHITV myFOX10 CW 10 ION800 Ohio Street Terre Haute, IN 47807 USAMain Phone: 8122329481Newsroom: 8122324953News Hotline: 8005898810 Our Mobile App Download theApp Store Download theGoogle Play WTHI Text Alerts Jobs News Team IBA Scholarship Advertisers FCC Applications Usage Legal FCC Public Inspection File EEO Report Child Programming Ad Choices All content copyright WTHI. 2020 Allen Media Broadcasting, LLC . 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] | 1 | NEGATIVE | 460 |
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New study finds AI as a viable tool to detect changes in patients’ mental health
Usha Nair
Mumbai |
Updated on
January 18, 2020
Published on
January 18, 2020
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The USC Signal Analysis and Interpretation Lab (SAIL), in new collaboration with UCLA, has found that artificial intelligence (AI) can accurately detect changes in patient's clinical state from his or her speech as well as the physician's inputs. SAIL partnered with researchers at UCLA to analyse voice data from patients being treated for serious mental illnesses, including bipolar disorder, schizophrenia and major depressive disorders. These individuals and their treating clinicians used the MyCoachConnect interactive voice and mobile tool, created and hosted on the Chorus platform at UCLA, to provide voice diaries related to their mental health states. SAIL then collaborated with UCLA researchers to apply AI to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. The SAIL AI was able to match clinicians’ ratings of their patients.“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said senior author Dr Shri Narayanan, Niki and Max Nikias Chair in Engineering and Director of SAIL at the USC Viterbi School of Engineering. Tracking changes in clinical states is important, say the researchers, to detect if there is a change that shows that condition has improved or worsened that would warrant the need for changing treatment.The next step in this joint research is to scale up this individualized approach to a larger population over longer time periods of observation.
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| New study finds AI as a viable tool to detect changes in patients’ mental health | New study finds AI viable tool detect changes patients mental health The Hindu BusinessLine EPaper WealthCheck Home News National Science Sports World Variety Education Real Estate Markets Stocks Forex Commodities Gold Silver Todays Pick Portfolio Tracker Companies Index Economy Agri Business Logistics Macro Economy Policy BUDGET 2019 Infotech HowTo Social Media Computers Laptops Mobiles Tablets Other Gadgets Opinion Editorial Columns Quick Take Letters Books Blogs Specials BusinessLine People Auto focus Clean Tech Emerging Entrepreneurs Flight Plan India File India Interior Pulse Technophile Luxe New Manager Portfolio Personal Finance Big Story India Economy Commodity Analysis Stock Fundamentals Mutual Funds Day trading guide Technical Analysis People News Analysis Research Reports More BL Ink Money Banking Catalyst Multimedia Todays Paper Topics Package Blchangemakers ePaper WealthCheck Subscription Bloncampus Sign Latest News BL On Campus Money Banking Resources Track Company Science New study finds AI viable tool detect changes patients mental health Usha Nair Mumbai Updated January 18, 2020 Published January 18, 2020 Representative image Getty ImagesiStockphoto Representative image Getty ImagesiStockphoto SHARE SHARE SHARE EMAIL SHARE COMMENT The USC Signal Analysis Interpretation Lab SAIL, new collaboration UCLA, artificial intelligence AI accurately detect changes patients clinical state speech physicians inputs. SAIL partnered researchers UCLA analyse voice data patients treated mental illnesses, including bipolar disorder, schizophrenia major depressive disorders. These individuals treating clinicians MyCoachConnect interactive voice mobile tool, created hosted Chorus platform UCLA, provide voice diaries related mental health states. SAIL collaborated UCLA researchers apply AI listen hundreds voicemails custom software detect changes patients clinical states. The SAIL AI able match clinicians ratings patients.Machine learning allowed illuminate clinicallymeaningful dimensions language use vocal patterns patients time personalised individual level, said senior author Dr Shri Narayanan, Niki Max Nikias Chair Engineering Director SAIL USC Viterbi School Engineering. Tracking changes clinical states important, researchers, detect change shows condition improved worsened warrant need changing treatment.The step joint research scale individualized approach larger population longer time periods observation. Published January 18, 2020 SHARE COMMENTS Comments moderated The Hindu Business Line editorial team. Comments abusive, personal, incendiary irrelevant published. Please write complete sentences. Do type comments capital letters, lower case letters, abbreviated text. example: u substitute you, the, n and. We remove hyperlinks comments. Please use genuine email ID provide name, avoid rejection. CSIRCCMB workshop genome providing personalised healthcare Recommended Specials Portfolio BL Ink Catalyst India File Quick takes WHO alert superbugsWorld running optionsThe World Health Organization warned Friday dire... A policy ecosystem needed box health options As shown globally, fresh approaches lead improved outcomes public Its time India build neonatal emergency transport network This country step closer achieving Sustainable Development Goals Better prospects health? Will Budget 2020 hold multiple stakeholders healthcare?The pharmaceutical industry,... RIL: Consumer businesses remain key growth drivers Yet again, consumer businesses Reliance Industries RIL digital retail key growth... Europe operations boost HCL Techs revenues Buoyed revenue growth European operations, HCL Technologies posted 8.6 cent sequential rise... Do brokerless property deals good sense? Agents you, open gates you, seller buyer Personal loan vs credit card loan: What for? Here comparative analysis Hallyu 2.0: Korean pop culture gains new ground India Its wave thats swept Indians feet, dictating choice music TV shows,... Quiz: Sportspersons played sport On January 18, 1983, International Olympic Committee restored Jim Thorpes athletics medals they... Stefan Zweig: The man wrote novellas Author Stefan Zweigs story offers sobering lessons time intense political upheaval Budgeting Young India Rocked falling economy socioeconomic uncertainties, countrys muchtouted demographic dividend... Takeaways marketers CES 2020 The big Pword privacy dominating consumer themes global stage innovation New Years Blues Celebrating shades blue, colour 2020 When storytelling trumps statistics Four Seasonss Envoy programme gives new spin concept choosing content followers Year Review: Winning ways brands 2019 Which advertising campaigns stood The trauma internet shutdown Shutdowns India 2019 estimated led loss 1.3 billion. Forum Gandhi reports on... Agri business tourism bear brunt Small traders farm produce took big hit disruption online processing Trends January 8, 2020 Type shutdownOf 381 internet shutdowns recorded January 2012 January 4, 2020, 236 were... Come students streets The protests CAANRCNPR acted trigger, uniting youth religious beliefs communities... Big Story NRI investments India: What, where, The Hindu BusinessLine read more. Happy Pongal Offer Savings Rs. 4500. Avail Now Now Remind Me Later Happy Pongal Offer Savings Rs. 4500. Avail Now Now Become digital subscriber The Hindu BusinessLine Happy Pongal Offer Savings Rs. 4500. Avail Now Happy Pongal Offer Savings Rs. 4500. Avail Now Now x x Big Story NRI investments India: What, where, Happy Pongal Offer Savings Rs. 4500. Avail Now The Hindu BusinessLine read understand trusted experts. Avail Invitation Pricing Now . Offer closes soon. 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https://thenextweb.com/neural/2020/02/24/chess-grandmaster-gary-kasparov-predicts-ai-will-disrupt-96-percent-of-all-jobs/ | 2020-02-25T00:00:00 | en | Chess grandmaster Gary Kasparov predicts AI will disrupt 96 percent of all jobs |
Chess grandmaster Gary Kasparov predicts AI will disrupt 96 percent of all jobs
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Human-centric AI news and analysis
Garry Kasparov
Go
artificial intelligence
Chess grandmaster Gary Kasparov predicts AI will disrupt 96 percent of all jobs
And we might need a universal basic income to deal with it
Story by
Tristan Greene
73
Shares
IBM’s Deep Blue wasn’t supposed to defeat Chess grandmaster Gary Kasparov when the two of them had their 1997 rematch. Computer experts of the time said machines would never beat us at strategy games because human ingenuity would always triumph over brute-force analysis.
After Kasparov‘s loss, the experts didn’t miss a beat. They said Chess was too easy and postulated that machines would never beat us at Go. Champion Lee Sedol’s loss against DeepMind’s AlphaGo proved them wrong there.
Then the experts said AI would never beat us at games where strategy could be overcome by human creativity, such as poker. Then AI beat us at poker. And at StarCraft. Now it’s going for even more complex games such as Magic: The Gathering. History shows us that a machine can be developed to outperform a human at any given task.
Apparently the only thing more powerful than human hubris is our ability to iterate new technologies. At least according Kasparov, who recently told Wired’s Will Knight:
1997 was an unpleasant experience, but it helped me understand the future of human-machine collaboration. We thought we were unbeatable, at chess, Go, shogi. All these games, they have been gradually pushed to the side
History repeated itself in 2016 when Sedol lost to AlphaGo. Much like Kasparov, Sedol was shocked at his defeat by a machine. He retired from competitive Go play in 2019 citing the fact that even if he were to become the number one player again, AI is “an entity that cannot be defeated.”
But Kasparov, who’s had more than two decades to reflect on his loss, sees artificial intelligence as an opportunity for collaboration, not a future overlord or oppressor. He predicts that 96 percent of all human jobs (those not specifically requiring human creativity) will be “destroyed” by AI in the coming years.
Read: This AI suitcase could help visually-impaired people to travel
This isn’t a gloomy prediction, as Kasparov told Wired, with every age of major technological advancement the majority of jobs are disrupted and new ones are created. That’s why even small towns have half a dozen automobile mechanics but you’ll be hard-pressed to find your local farrier or blacksmith unless you live in a farming community or the world of Skyrim.
The real challenge, according to Kasparov, is with creating new jobs that cater to human creativity:
For several decades we have been training people to act like computers, and now we are complaining that these jobs are in danger. Of course they are. We have to look for opportunities to create jobs that will emphasize our strengths. Technology is the main reason why so many of us are still alive to complain about technology. It’s a coin with two sides. I think it’s important that, instead of complaining, we look at how we can move forward faster.
Kasparov’s prescription for the future seems to be that we should speed things up. He wants us to develop AI faster because technology is inevitable. And, as the self-professed “first knowledge worker whose job was threatened by a machine,” he has a unique perspective.
But speeding things up will, ultimately, displace workers who’ve been able to rely on their skill-set so far. This leaves CEOs and governments in a predicament where the greater good may ultimately come from ditching humans for machines, but the immediate impact would leave a significant percentage of workers with no means of income.
To this end, Kasparov mentioned that it might be time for governments to consider a universal basic income (UBI). And he’s not the only person advocating for a UBI to combat the threat of AI-caused worker displacement.
Former US presidential candidate Andrew Yang ran his now defunct campaign on the promise that he’d usher the country into the AI era by providing a monthly “freedom dividend” of $1,000 dollars to every adult citizen.
What do you think? Is your job AI-proof?
You’re here because you want to learn more about artificial intelligence. So do we. So this summer, we’re bringing Neural to TNW Conference 2020, where we will host a vibrant program dedicated exclusively to AI. With keynotes by experts from companies like Spotify and RSA, our Neural track will take a deep dive into new innovations, ethical problems, and how AI can transform businesses. Get your early bird ticket and check out the full Neural track.
Published February 24, 2020 — 21:00 UTC
Defeated Chess Champ Garry Kasparov Has Made Peace With AI
on Wired
Tristan Greene
February 24, 2020 — 21:00 UTC
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| Chess grandmaster Gary Kasparov predicts AI will disrupt 96 percent of all jobs | Chess grandmaster Gary Kasparov predicts AI disrupt 96 percent jobs TNW News Latest Hard Fork Plugged Work 2030 Fundamentals Read Me Growth Quarters Neural More TNW News TNW2020 Enterprise Intelligence Answers Spaces About TNW About Advertise Jobs News TNW2020 Business Index TNW X AMAs Spaces About Advertise Jobs Latest Hard Fork Plugged Fundamentals Work 2030 ReadMe Growth Quarters Neural KICKS OFF IN Days JOIN US 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 Humancentric AI news analysis Garry Kasparov Go artificial intelligence Chess grandmaster Gary Kasparov predicts AI disrupt 96 percent jobs And need universal basic income deal Story Tristan Greene 73 Shares IBMs Deep Blue wasnt supposed defeat Chess grandmaster Gary Kasparov 1997 rematch. Computer experts time said machines neverbeat strategy games human ingenuity triumph bruteforce analysis. After Kasparovs loss, experts didnt miss beat. They said Chess easy postulated machines beat Go. Champion Lee Sedols loss DeepMinds AlphaGo proved wrong there. Then experts said AI beat games strategy overcome human creativity, poker. Then AI beat poker. And atStarCraft. Now going complex games Magic: The Gathering. History shows machine developed outperform human given task. Apparently thing powerful humanhubris ability iterate new technologies. At according Kasparov, recently told Wireds Will Knight: 1997 unpleasant experience, helped understand future humanmachine collaboration. We thought unbeatable, chess, Go, shogi. All games, gradually pushed History repeated 2016 Sedol lost AlphaGo. Much like Kasparov, Sedol shocked defeat machine. He retired competitive Go play 2019 citing fact number player again, AI entity defeated. But Kasparov, whos decades reflect loss, sees artificial intelligence opportunity collaboration, future overlord oppressor. He predicts 96 percent human jobs specifically requiring human creativity destroyed AI coming years. Read:This AI suitcase help visuallyimpaired people travel This isnt gloomy prediction, Kasparov told Wired, age major technological advancement majority jobs disrupted new ones created. Thats small towns half dozen automobile mechanics youll hardpressed local farrier blacksmith live farming community world Skyrim. The real challenge, according Kasparov, creating new jobs cater human creativity: For decades training people act like computers, complaining jobs danger. Of course are. We look opportunities create jobs emphasize strengths. Technology main reason alive complain technology. Its coin sides. I think important that, instead complaining, look forward faster. Kasparovs prescription future speed things up. He wants develop AI faster technology inevitable. And, selfprofessed firstknowledge worker job threatened machine, unique perspective. But speeding things will, ultimately, displace workers whove able rely skillset far. This leaves CEOs governments predicament greater good ultimately come ditching humans machines, immediate impact leave significant percentage workers means income. To end, Kasparov mentioned time governments consider universal basic income UBI. And hes person advocating UBI combat threat AIcaused worker displacement. Former US presidential candidate Andrew Yang ran defunct campaign promise hed usher country AI era providing monthly freedom dividend 1,000 dollars adult citizen. What think? Is job AIproof? Youre want learn artificial intelligence. So we. So summer, bringing Neural toTNW Conference 2020,where host vibrant program dedicated exclusively AI. With keynotes experts companies like Spotify RSA, Neural track deep dive new innovations, ethical problems, AI transform businesses.Get early bird ticketandcheck Neural track. Published February 24, 2020 21:00 UTC Defeated Chess Champ Garry Kasparov Has Made Peace With AI Wired Tristan Greene February 24, 2020 21:00 UTC Read Most popular AI Now: Predictive policing systems racist corrupt cops produce dirty data 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. | 2,020 | [
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The MarketingCrossroads Of AI And Video Production
Paul Talbot
Contributor
Opinions expressed by Forbes Contributors are their own.
CMO Network
I write about marketing strategy.
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As the promises of AI proliferate and expectations expand, marketers are examining the intersection of AI and video production for potential benefits.
At QuickFrame, a video-as-a-service (VaaS) firm which works with brands such as Colgate and publishers such as Bleacher Report, AI tools have been woven into the VaaS platform.
I recently asked QuickFrame COO Joe Reid to fill us in.
Paul Talbot: How does the AI piece of the platform work?
Joe Reid: The AI technology that powers the video intelligence portion of QuickFrame’s video-as-a-service platform is not a random assortment of machine learning models that are unleashed on videos. Rather, our models have been guided by the knowledge we’ve gained producing tens of thousands of videos for brands, publishers and agencies across different platforms and use cases.
We process thousands of videos weekly and analyze each for visual and sonic attributes, as well as associated metadata (platform, audience targeting, date posted). These elements are then correlated to that video’s performance (completed views, clicks, conversions).
Through this process, we are able to articulate the elements that drive the strongest video outcomes for specific platforms, target audiences and time periods so that customers clearly know how they should evolve their video strategy.
For example, we may reveal that a food and beverage brand’s audience on Instagram has shifted to prefer animated videos over live action videos during the last three months.
Talbot: What characteristics of a video does your ‘intelligent analytics tool’ focus on?
Reid: We measure a set of immutable attributes across all videos that we know frequently impact performance, such as branding or the presence of people, and those that influence the cost of production, such as the presence of animals or food.
We then partner with clients to identify and measure additional custom attributes that are relevant to their goals. For example, a direct-to-consumer bedding brand looking to understand how to maximize return on ad spend might conjecture whether an ‘organic’ or ‘comfort’ message leads to higher performance within their OTT commercials.
For the broadest context possible, these attributes are analyzed across a brand’s historical videos, against their vertical, and in comparison to the overall market. Clients are then provided with actionable insights based on the analysis to catalyze their business goals.
Talbot: How specific are the recommendations?
Reid: Digital video trends emerge quickly and dissipate even faster, so it is critical that every recommendation is as clearly defined and granular to an individual company as requested.
We ensure specificity in three key ways:
Nuanced Models: QuickFrame processes and analyzes thousands of videos every week, which has given our models expertise in distinguishing unique properties amongst videos from different verticals, platforms, video formats and date ranges.
Custom Attributes: While our models are robust, we do recognize that each client may have unique requirements. At the start of every engagement, QuickFrame partners with clients to identify specific video variables that are relevant to clients’ business goals.
Thoughtful Analysis: All data are analyzed according to clients’ specific questions and goals. For example, a global automotive brand may be interested in uncovering what inspires video engagement in its top international markets, whereas a direct-to-consumer apparel brand may be focused on what types of video ads drive conversions for its top three audience segments on Instagram.
Talbot: How do we know the AI tool actually does drive performance?
Reid: Our analyses are tied to actual video performance, not survey or panel-based responses. We are laser focused on understanding the correlations between video attributes and KPIs that span a variety of advertising verticals, whether that is views or online check-outs.
Talbot: What does the AI tool need to know about the video’s target market in order to provide meaningful insights?
Reid: Our recommended approach to data-driven content insight is to begin analysis blinded to the client’s hypotheses and assumptions. This process allows us to validate, on behalf of our customers, the predispositions a marketing team might have about their target market.
Talbot: Any other thoughts you’d like to share?
Reid: There are a number of factors that will continue to underscore the importance of video including the adoption of 5G, the proliferation of connected devices and the deprecation of the web-tracking cookie.
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| The MarketingCrossroads Of AI And Video Production | The MarketingCrossroads Of AI And Video Production 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 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 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 The MarketingCrossroads Of AI And Video Production Paul Talbot Contributor Opinions expressed Forbes Contributors own. CMO Network I write marketing strategy. Share facebook Share twitter Share linkedin Getty As promises AI proliferate expectations expand, marketers examining intersection AI video production potential benefits. At QuickFrame, videoasaservice VaaS firm works brands Colgate publishers Bleacher Report, AI tools woven VaaS platform. I recently asked QuickFrame COO Joe Reid in. Paul Talbot:How AI piece platform work? Joe Reid:The AI technology powers video intelligence portion QuickFrames videoasaservice platform random assortment machine learning models unleashed videos. Rather, models guided knowledge weve gained producing tens thousands videos brands, publishers agencies different platforms use cases. We process thousands videos weekly analyze visual sonic attributes, associated metadata platform, audience targeting, date posted. These elements correlated videos performance completed views, clicks, conversions. Through process, able articulate elements drive strongest video outcomes specific platforms, target audiences time periods customers clearly know evolve video strategy. For example, reveal food beverage brands audience Instagram shifted prefer animated videos live action videos months. Talbot:What characteristics video intelligent analytics tool focus on? Reid:We measure set immutable attributes videos know frequently impact performance, branding presence people, influence cost production, presence animals food. We partner clients identify measure additional custom attributes relevant goals. For example, directtoconsumer bedding brand looking understand maximize return ad spend conjecture organic comfort message leads higher performance OTT commercials. For broadest context possible, attributes analyzed brands historical videos, vertical, comparison overall market. Clients provided actionable insights based analysis catalyze business goals. Talbot:How specific recommendations? Reid:Digital video trends emerge quickly dissipate faster, critical recommendation clearly defined granular individual company requested. We ensure specificity key ways: Nuanced Models: QuickFrame processes analyzes thousands videos week, given models expertise distinguishing unique properties videos different verticals, platforms, video formats date ranges. Custom Attributes: While models robust, recognize client unique requirements. At start engagement, QuickFrame partners clients identify specific video variables relevant clients business goals. Thoughtful Analysis: All data analyzed according clients specific questions goals. For example, global automotive brand interested uncovering inspires video engagement international markets, directtoconsumer apparel brand focused types video ads drive conversions audience segments Instagram. Talbot:How know AI tool actually drive performance? Reid:Our analyses tied actual video performance, survey panelbased responses. We laser focused understanding correlations video attributes KPIs span variety advertising verticals, views online checkouts. Talbot:What AI tool need know videos target market order provide meaningful insights? Reid:Our recommended approach datadriven content insight begin analysis blinded clients hypotheses assumptions. This process allows validate, behalf customers, predispositions marketing team target market. Talbot:Any thoughts youd like share? Reid:There number factors continue underscore importance video including adoption 5G, proliferation connected devices deprecation webtracking cookie. Follow Twitter LinkedIn. Check website. Paul Talbot Minus strategy marketing staggers. I somewhat reformed exmedia business executive, tours duty AOL, CBS Radio, Nationwide Communications. Im fan ... Read More Print Site Feedback Tips Corrections Reprints Permissions Terms Privacy 2020 Forbes Media LLC. . AdChoices | 2,020 | [
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https://feedroad.com/artificial-intelligence-in-construction-market-research-report-2020-industry-report-industry-analysis-key-players-trends-revenue-regional-segmented-outlook-until-2030/ | 2020-04-08T00:00:00 | en | Artificial Intelligence in Construction Market Research Report 2020 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 – Feed Road |
Artificial Intelligence in Construction Market Research Report 2020 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 – Feed Road
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Artificial Intelligence in Construction Market Research Report 2020 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030
April 8, 2020
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The shortage of Chinese ingredients, raw materials, and semi-finished goods is the latest example of the global economy’s dependence on products made in China, from iPhones to auto parts to pharma. Much of the fallout may still be hidden and is likely to play out over months. Even before the coronavirus outbreak, business investment was already in poor health in the United States. It fell in the last three quarters of 2019. Some analysts now expect more companies could soon announce reductions in their capital spending.
Trusted Business Insights answers what are the scenarios for growth and recovery and whether there will be any lasting structural impact from the unfolding crisis for the Artificial Intelligence in Construction market.
Trusted Business Insights presents an updated and Latest Study on Artificial Intelligence in Construction Market 2019-2030. The report contains market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. The report further elaborates on the micro and macroeconomic aspects including the socio-political landscape that is anticipated to shape the demand of the Artificial Intelligence in Construction market during the forecast period (2019-2029).
It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary, and SWOT analysis.
Get Sample Copy of this Report @ Artificial Intelligence in Construction Market Research Report 2020 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030
Industry Insights, Market Size, CAGR, High-Level Analysis: Artificial Intelligence in Construction Market
The global artificial intelligence (AI) in construction market size was valued at USD 398.6 million in 2018 and is anticipated to exhibit a CAGR of 34.0% from 2019 to 2025. Artificial intelligence has evolved with improved safety standards and assist in predicting hazards at construction sites before they take place. Therefore, the construction companies have leveraged the artificial intelligence technology in terms of predictive maintenance and risk management solutions. Also, the AI in the construction industry is highly adopted for the development of industrial internet of things (IIoT) based applications for construction sites. IIoT assists project managers with efficient outputs and reduced labor costs, which boosts the demand for artificial intelligence in the industry. Construction companies are focusing on investments in IIoT applications development to implement industry 4.0 and support full automation at their job sites.
Construction companies consider safety as one of the major project management factors. Injuries and fatalities at job sites are the ongoing issues at an alarming rate. For instance, in 2017, the U.S. Department of Labor has reported that the death rate of construction workers is five times the death rate of other workers in the private sector. Also, struck-by deaths are increasing substantially, which has pushed the site managers and the companies to address workplace injuries. Furthermore, in 2017, around 39% of construction deaths occurred due to unexpected falls at job sites in the U.S., and AI provides increased visibility and predictive maintenance to prevent injuries from these sudden falls. AI-enabled cameras can monitor the whole area around the job site and allow project managers to observe and analyze real-time activities in case some issues are detected. With the help of artificial intelligence, on-site visibility and awareness can be increased to reduce unexpected falls and incidents.
Artificial intelligence has been proven efficient in helping the workers execute tasks more safely. For instance, the University of Waterloo (Canada) researched artificial intelligence in the industry and found that AI technology helps expert bricklayers learn advanced techniques to limit the joint loads. Thus, artificial intelligence has helped bricklayers learn to maximize the output while minimizing the tear on their bodies. Also, AI enables the companies to rely on off-site factories or construction sites, staffed by autonomous robots. For instance, wall structures can be built based on assembly-line-style by autonomous robots more efficiently than the human workers at the job site.
Furthermore, AI neural networks are used for construction projects to identify cost overruns. Its predictive model uses historical data such as project start and end dates to envision realistic timelines for upcoming projects. Cost overruns are predicted based on several factors, such as contract type, project size, and the competence level of the project managers. Project managers can plan the project schedule and estimate the original cost and budget with the help of real-time feedback provided by the AI platform. Besides, artificial intelligence helps the company staff access real-life training material to enhance their knowledge and skills quickly.
Offering Insights
The offering segment is classified into solution and service. The solution segment is expected to have a larger market share among offerings. Major players, including IBM, Microsoft, and Oracle are offering artificial intelligence solutions for the industry. AI solutions boost on-site efficiency by providing major construction applications, such as risk management, project planning, schedule management, and supply chain management.
Also, artificial intelligence solutions address the problem of skilled labor shortage through the automation of tasks. These solutions can perform time-intensive tasks, such as cost estimation, program creation, resource management, and risk management. Most of the construction companies have adopted AI solutions for risk management and better safety at the job site. For instance, PCL Constructors Inc. and ICONICS, Inc. have used artificial intelligence platforms at the construction site to build smart buildings.
Application Insights of Artificial Intelligence in Construction Market
The application segment is classified into asset management, project management, risk management, schedule management, supply chain management, and others. The project management segment is expected to have a significant market share among applications. Several companies adopt the project management application for each phase of the construction, such as pre-construction, construction-stage, and post-construction. It helps the company boost its productivity and efficiency by automating the building processes, such as proposal management, planning and designing, sourcing and contract management, and virtual design and construction.
Also, AI-enabled project management application is beneficial in handling over-budget construction projects by capturing the real-image data from the job site and providing accurate precisions for the budget by calculating the original hours taken to complete the tasks. It is also adopted for post-construction tasks, such as real estate management and intelligent buildings and facilities management. It helps to maintain the assets and facilities operations of the job site. Therefore, the companies are focusing on bringing AI-enabled project management applications.
Stage Insights
The stage segment is classified into pre-construction, construction-stage, and post-construction. The pre-construction segment is expected to have a significant market share among other stages in the the industry. AI-enabled applications are highly adopted for the pre-construction stage by several companies since this stage involves the prior project management tasks, such as schedule management and cost management. It covers all the planning and design-related tasks, such as opportunity and proposal management, cost management, sourcing and contract management, and virtual design and construction.
Cost management is one of the significant pre-construction stage tasks and construction companies prefer artificial intelligence for this task. AI-enabled cameras at the job site provide the real-time feedback by capturing the actual amount of time and resources spent on a project, based on which cost and budget is decided for the upcoming projects. Artificial intelligence helps the project managers predict the budget on the right precision based on contract type and project start and end dates. Furthermore, AI helps to create a virtual design of the model to be constructed, which is also a significant task at the pre-construction stage. Thus, the pre-construction stage in AI for the industry is expected to lead among other stages.
Deployment
Type Insights of Artificial Intelligence in Construction Market
The deployment type segment is bifurcated into the cloud and on-premises. The cloud segment is expected to have a significant market share among both deployment types owing to the increasing investments in IoT-based applications. Several AI in construction solutions providers are investing in cloud and IoT-based products and services through mergers and acquisitions. The investments are aimed at creating a computer-aided virtual environment (CAVE), to provide general contractors, architects, and customers with a virtual experience of their building.
Cloud deployment provides more cost-effective deployment method to the construction companies. Its scalability and quick adaptability feature makes it prominent for large and heavy building projects. Also, AI applications are now deployed in private clouds to address privacy and security issues. Thus, cloud deployment is expected to lead among deployment types for AI applications in the industry.
Industry
Type Insights of Artificial Intelligence in Construction Market
Based on industry type, the artificial intelligence in construction market is segmented into residential, public infrastructure, heavy construction, and others. Heavy construction is expected to have a significant market share among industry types, owing to increasing accidents and sudden falls at large building sites. Heavy construction involves massive structures and a wide variety of equipment that require project management with diligence and extensive engineering. Several major equipment manufacturers are making investments in self-operating machines to perform site work, excavation, grading, demolition, and paving, among other tasks.
In large enterprises and heavy building sites, tracking the processes is quite challenging. AI-powered solutions and services help to manage task scheduling and reallocation, and other project planning related tasks. Substantial infrastructures such as ports, dams, bridges, roads, coastal engineering, transportation, waterways, and energy infrastructure are adopting the AI solutions since it helps to measure productivity on the job sites while promising project managers a competitive edge with smart visualized data. Also, risk management is ensured with the help of predictive maintenance using AI. Thus, heavy construction is expected to lead among other industry types.
Organization Size Insights
The organization size segment is classified into small and medium-sized enterprises (SMEs) and large enterprises. The large enterprises are expected to have a significant market share among both organization sizes. Large enterprises, including the government and commercial enterprises, are increasingly adopting AI solutions on a large scale, owing to the rising demand for risk management and project management solutions across the segment. Favorable government regulations are motivating large construction enterprises to incorporate AI solutions and services.
Small and medium enterprises are estimated to demonstrate the growth at a healthy rate over the forecast period. Small and medium enterprises are increasingly employing AI solutions owing to the cost-effective nature of the platform. Cloud-based AI solutions are favorable to construction companies as there is no high set-up cost, and it can be started and stopped according to the project’s requirement. Also, the expansion of building firms requires proper management of their databases, which is expected to propel the demand further.
Regional Insights of Artificial Intelligence in Construction Market
The market for AI in construction in North America accounted for more than 38% share in 2018, owing to the leading industrial automation market in the region. The North America region is characterized by a large number of populations having improved purchasing power, continuous investments in automation, and governments’ increasing focus on having in-house AI in construction equipment production. Also, considerably increasing investments in IIoT and industrial automation in this region is one of the major factors boosting the growth of the market in the North America. Most of the tech giants have invested in the regional market and have been preferred for implementing AI-based applications by the companies. For instance, several construction companies, such as PCL Constructers Inc. and ThyssenKrupp AG have used the Microsoft Azure, developed by the U.S. based tech giant Microsoft, to deploy AI-enabled building solutions.
APAC region is expected to demonstrate the highest CAGR in the future. Rising infrastructural investments for various applications, such as risk management, project management, and supply chain management, are boosting the growth of this market in the Asia-Pacific region. Pre-construction AI applications have experienced an increased adoption in emerging economies, such as India and China. Furthermore, the rising demand to create smart cities in these economies is encouraging the companies to adopt AI solutions and services.
Market Share Insights of Artificial Intelligence in Construction Market
The key market participants include IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; ALICE Technologies Inc.; eSUB Inc.; Smartvid.io, Inc.; Darktrace; Aurora Construction and Security; and Autodesk Inc.
Vendors in the market are focusing on increasing the customer base to gain a competitive edge in the market. Therefore, vendors are taking several strategic initiatives, such as collaborations, acquisitions and mergers, and partnerships. For instance, in August 2019, Procore Technologies, Inc. acquired the Construction BI, LLC, to bring next-generation AI analytics to the construction industry. In December 2018, Autodesk Inc. acquired two U.S. based construction-tech startups PlanGrid, Inc., and BuildingConnected. These acquisitions were aimed at encouraging construction software development to digitize the whole building process.
Segmentations, Sub Segmentations, CAGR, & High-Level Analysis overview of Artificial Intelligence in Construction Market Research Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2014 to 2025. For this study, this market research report has segmented the global Artificial Intelligence in construction market report based on offering, application, stage, deployment type, organization size, industry type, and region:
Offering Outlook (Revenue, USD Million, 2019 – 2030)
Solution
Service
Application Outlook (Revenue, USD Million, 2019 – 2030)
Asset Management
Project Management
Risk Management
Schedule Management
Supply Chain Management
Others
Stage Outlook (Revenue, USD Million, 2019 – 2030)
Pre-Construction
Construction-Stage
Post-Construction
Deployment Type Outlook (Revenue, USD Million, 2019 – 2030)
Cloud
On-Premises
Industry Type Outlook (Revenue, USD Million, 2019 – 2030)
Residential
Public Infrastructure
Heavy Construction
Others
Organization Size Outlook (Revenue, USD Million, 2019 – 2030)
Small & Medium-sized Enterprises (SMEs)
Large Enterprises
Quick Read Table of Contents of this Report @ Artificial Intelligence in Construction Market Research Report 2020 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030
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| Artificial Intelligence in Construction Market Research Report 2020 | Artificial Intelligence Construction Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Feed Road Toggle navigation Home About Our Authors Privacy Editorial Policy Feed Road Market Research Reports Market Reports Industry Analytics Industry Report Market Outlook Market Research Analysis Forecast Consumption Status Future Demands Opportunities Forecast for: Artificial Intelligence Construction Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 April 8, 2020 Off By [emailprotected] The shortage Chinese ingredients, raw materials, semifinished goods latest example global economys dependence products China, iPhones auto parts pharma. Much fallout hidden likely play months. Even coronavirus outbreak, business investment poor health United States. It fell quarters 2019. Some analysts expect companies soon announce reductions capital spending. Trusted Business Insights answers scenarios growth recovery lasting structural impact unfolding crisis Artificial Intelligence Construction market. Trusted Business Insights presents updated Latest Study Artificial Intelligence Construction Market 20192030. The report contains market predictions related market size, revenue, production, CAGR, Consumption, gross margin, price, substantial factors. While emphasizing key driving restraining forces market, report offers complete study future trends developments market.The report elaborates micro macroeconomic aspects including sociopolitical landscape anticipated shape demand Artificial Intelligence Construction market forecast period 20192029. It examines role leading market players involved industry including corporate overview, financial summary, SWOT analysis. Get Sample Copy Report @ Artificial Intelligence Construction Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Industry Insights, Market Size, CAGR, HighLevel Analysis: Artificial Intelligence Construction Market The global artificial intelligence AI construction market size valued USD 398.6 million 2018 anticipated exhibit CAGR 34.0 2019 2025. Artificial intelligence evolved improved safety standards assist predicting hazards construction sites place. Therefore, construction companies leveraged artificial intelligence technology terms predictive maintenance risk management solutions. Also, AI construction industry highly adopted development industrial internet things IIoT based applications construction sites. IIoT assists project managers efficient outputs reduced labor costs, boosts demand artificial intelligence industry. Construction companies focusing investments IIoT applications development implement industry 4.0 support automation job sites. Construction companies consider safety major project management factors. Injuries fatalities job sites ongoing issues alarming rate. For instance, 2017, U.S. Department Labor reported death rate construction workers times death rate workers private sector. Also, struckby deaths increasing substantially, pushed site managers companies address workplace injuries. Furthermore, 2017, 39 construction deaths occurred unexpected falls job sites U.S., AI provides increased visibility predictive maintenance prevent injuries sudden falls. AIenabled cameras monitor area job site allow project managers observe analyze realtime activities case issues detected. With help artificial intelligence, onsite visibility awareness increased reduce unexpected falls incidents. Artificial intelligence proven efficient helping workers execute tasks safely. For instance, University Waterloo Canada researched artificial intelligence industry AI technology helps expert bricklayers learn advanced techniques limit joint loads. Thus, artificial intelligence helped bricklayers learn maximize output minimizing tear bodies. Also, AI enables companies rely offsite factories construction sites, staffed autonomous robots. For instance, wall structures built based assemblylinestyle autonomous robots efficiently human workers job site. Furthermore, AI neural networks construction projects identify cost overruns. Its predictive model uses historical data project start end dates envision realistic timelines upcoming projects. Cost overruns predicted based factors, contract type, project size, competence level project managers. Project managers plan project schedule estimate original cost budget help realtime feedback provided AI platform. Besides, artificial intelligence helps company staff access reallife training material enhance knowledge skills quickly. Offering Insights The offering segment classified solution service. The solution segment expected larger market share offerings. Major players, including IBM, Microsoft, Oracle offering artificial intelligence solutions industry. AI solutions boost onsite efficiency providing major construction applications, risk management, project planning, schedule management, supply chain management. Also, artificial intelligence solutions address problem skilled labor shortage automation tasks. These solutions perform timeintensive tasks, cost estimation, program creation, resource management, risk management. Most construction companies adopted AI solutions risk management better safety job site. For instance, PCL Constructors . ICONICS, . artificial intelligence platforms construction site build smart buildings. Application Insights Artificial Intelligence Construction Market The application segment classified asset management, project management, risk management, schedule management, supply chain management, others. The project management segment expected significant market share applications. Several companies adopt project management application phase construction, preconstruction, constructionstage, postconstruction. It helps company boost productivity efficiency automating building processes, proposal management, planning designing, sourcing contract management, virtual design construction. Also, AIenabled project management application beneficial handling overbudget construction projects capturing realimage data job site providing accurate precisions budget calculating original hours taken complete tasks. It adopted postconstruction tasks, real estate management intelligent buildings facilities management. It helps maintain assets facilities operations job site. Therefore, companies focusing bringing AIenabled project management applications. Stage Insights The stage segment classified preconstruction, constructionstage, postconstruction. The preconstruction segment expected significant market share stages industry. AIenabled applications highly adopted preconstruction stage companies stage involves prior project management tasks, schedule management cost management. It covers planning designrelated tasks, opportunity proposal management, cost management, sourcing contract management, virtual design construction. Cost management significant preconstruction stage tasks construction companies prefer artificial intelligence task. AIenabled cameras job site provide realtime feedback capturing actual time resources spent project, based cost budget decided upcoming projects. Artificial intelligence helps project managers predict budget right precision based contract type project start end dates. Furthermore, AI helps create virtual design model constructed, significant task preconstruction stage. Thus, preconstruction stage AI industry expected lead stages. Deployment Type Insights Artificial Intelligence Construction Market The deployment type segment bifurcated cloud onpremises. The cloud segment expected significant market share deployment types owing increasing investments IoTbased applications. Several AI construction solutions providers investing cloud IoTbased products services mergers acquisitions. The investments aimed creating computeraided virtual environment CAVE, provide general contractors, architects, customers virtual experience building. Cloud deployment provides costeffective deployment method construction companies. Its scalability quick adaptability feature makes prominent large heavy building projects. Also, AI applications deployed private clouds address privacy security issues. Thus, cloud deployment expected lead deployment types AI applications industry. Industry Type Insights Artificial Intelligence Construction Market Based industry type, artificial intelligence construction market segmented residential, public infrastructure, heavy construction, others. Heavy construction expected significant market share industry types, owing increasing accidents sudden falls large building sites. Heavy construction involves massive structures wide variety equipment require project management diligence extensive engineering. Several major equipment manufacturers making investments selfoperating machines perform site work, excavation, grading, demolition, paving, tasks. In large enterprises heavy building sites, tracking processes challenging. AIpowered solutions services help manage task scheduling reallocation, project planning related tasks. Substantial infrastructures ports, dams, bridges, roads, coastal engineering, transportation, waterways, energy infrastructure adopting AI solutions helps measure productivity job sites promising project managers competitive edge smart visualized data. Also, risk management ensured help predictive maintenance AI. Thus, heavy construction expected lead industry types. Organization Size Insights The organization size segment classified small mediumsized enterprises SMEs large enterprises. The large enterprises expected significant market share organization sizes. Large enterprises, including government commercial enterprises, increasingly adopting AI solutions large scale, owing rising demand risk management project management solutions segment. Favorable government regulations motivating large construction enterprises incorporate AI solutions services. Small medium enterprises estimated demonstrate growth healthy rate forecast period. Small medium enterprises increasingly employing AI solutions owing costeffective nature platform. Cloudbased AI solutions favorable construction companies high setup cost, started stopped according projects requirement. Also, expansion building firms requires proper management databases, expected propel demand further. Regional Insights Artificial Intelligence Construction Market The market AI construction North America accounted 38 share 2018, owing leading industrial automation market region. The North America region characterized large number populations improved purchasing power, continuous investments automation, governments increasing focus inhouse AI construction equipment production. Also, considerably increasing investments IIoT industrial automation region major factors boosting growth market North America. Most tech giants invested regional market preferred implementing AIbased applications companies. For instance, construction companies, PCL Constructers . ThyssenKrupp AG Microsoft Azure, developed U.S. based tech giant Microsoft, deploy AIenabled building solutions. APAC region expected demonstrate highest CAGR future. Rising infrastructural investments applications, risk management, project management, supply chain management, boosting growth market AsiaPacific region. Preconstruction AI applications experienced increased adoption emerging economies, India China. Furthermore, rising demand create smart cities economies encouraging companies adopt AI solutions services. Market Share Insights Artificial Intelligence Construction Market The key market participants include IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; ALICE Technologies .; eSUB .; , .; Darktrace; Aurora Construction Security; Autodesk . Vendors market focusing increasing customer base gain competitive edge market. Therefore, vendors taking strategic initiatives, collaborations, acquisitions mergers, partnerships. For instance, August 2019, Procore Technologies, . acquired Construction BI, LLC, bring nextgeneration AI analytics construction industry. In December 2018, Autodesk . acquired U.S. based constructiontech startups PlanGrid, ., BuildingConnected. These acquisitions aimed encouraging construction software development digitize building process. Segmentations, Sub Segmentations, CAGR, HighLevel Analysis overview Artificial Intelligence Construction Market Research Report This report forecasts revenue growth global, regional, country levels provides analysis latest industry trends subsegments 2014 2025. For study, market research report segmented global Artificial Intelligence construction market report based offering, application, stage, deployment type, organization size, industry type, region: Offering Outlook Revenue, USD Million, 2019 2030 Solution Service Application Outlook Revenue, USD Million, 2019 2030 Asset Management Project Management Risk Management Schedule Management Supply Chain Management Others Stage Outlook Revenue, USD Million, 2019 2030 PreConstruction ConstructionStage PostConstruction Deployment Type Outlook Revenue, USD Million, 2019 2030 Cloud OnPremises Industry Type Outlook Revenue, USD Million, 2019 2030 Residential Public Infrastructure Heavy Construction Others Organization Size Outlook Revenue, USD Million, 2019 2030 Small Mediumsized Enterprises SMEs Large Enterprises Quick Read Table Contents Report @ Artificial Intelligence Construction Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Trusted Business Insights Shelly Arnold Media Marketing Executive Email Me For Any Clarifications Connect LinkedIn Click follow Trusted Business Insights LinkedIn Market Data Updates. US: 1 646 568 9797 UK: 44 330 808 0580 CategoryBusiness Industry Analytics Market ReportsTagsArtificial Intelligence Construction Industry Report Artificial Intelligence Construction Industry Size Artificial Intelligence Construction Market Analysis Artificial Intelligence Construction Market Demand Artificial Intelligence Construction Market Forecast Artificial Intelligence Construction Market Share Corona virus impact Artificial Intelligence Construction market Covid 19 impact Artificial Intelligence Construction market Center Software Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 3D Printing Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Recent Posts Asia Pacific Video Streaming Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 3D Printing Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Artificial Intelligence Construction Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Center Software Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Soil Compaction Machines Market Global Trends, Market Share, Industry Size, Growth, Opportunities, Forecast 2019 2028 Australia New Zealand Research Antibodies Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Gas Turbine Services Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Healthcare Business Intelligence Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 Air Quality Monitoring System Market Research Report 2020 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2030 RadiationInduced Myelosuppression Treatment Market Poised Garner Maximum Revenues During 20182028 Proudly powered WordPress Theme: Envo Magazine | 2,020 | [
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https://in.reuters.com/article/alibaba-iot/alibaba-to-invest-1-4-billion-in-ai-system-for-smart-speakers-idINKBN22W0WA?feedType=RSS&feedName=businessNews&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+reuters%2FINbusinessNews+%28News+%2F+IN+%2F+Business+News%29 | 2020-05-20T00:00:00 | en | Alibaba to invest $1.4 billion in AI system for smart speakers - Reuters |
Alibaba to invest $1.4 billion in AI system for smart speakers - Reuters
Discover Thomson ReutersFinancialGovernment SolutionsLegalReuters News AgencyRisk Management SolutionsTax & AccountingBlog: Answers OnInnovation @ Thomson ReutersDirectory of sitesLoginContactSupportBusinessMarketsIndiaSouth AsiaTVMoreIndia Technology NewsMay 20, 2020 / 7:38 AM / Updated an hour agoAlibaba to invest $1.4 billion in AI system for smart speakers2 Min ReadFILE PHOTO: A logo of Alibaba Group is seen at an exhibition during the World Intelligence Congress in Tianjin, China May 16, 2019. REUTERS/Jason Lee/File Photo SHANGHAI (Reuters) - Alibaba Group Holding Ltd will invest 10 billion yuan ($1.41 billion) into an AI (artificial intelligence) and IoT (Internet of Things) system centered around its Tmall Genie smart speaker, the company announced on Wednesday. The announcement comes as the e-commerce giant continues its push into new technologies and business sectors beyond online shopping. The money will be used to add more content to Tmall Genie, as well as develop proprietary technology, Alibaba said. It launched the first model of Tmall Genie in 2017. Like the Amazon Echo, which is not for sale in China, the smart speaker can interact with users via a voice interface to play music, give out weather information, and perform other functions. The company has released several models since then, including devices with displays. Its latest model, announced on Wednesday, costs 549 yuan ($77.28) and comes with a 10-inch screen. Alibaba competes with Xiaomi Corp and Baidu Inc in the smart speaker sector. In 2019, Alibaba shipped 16.8 million smart speakers to consumers, while Baidu shipped 17.3 million, according to research firm Canalys. ($1 = 7.1043 Chinese yuan renminbi) Reporting by Josh Horwitz, editing by Louise Heavens and Jason NeelyOur Standards:The Thomson Reuters Trust Principles.0 : 0narrow-browser-and-phonemedium-browser-and-portrait-tabletlandscape-tabletmedium-wide-browserwide-browser-and-largermedium-browser-and-landscape-tabletmedium-wide-browser-and-largerabove-phoneportrait-tablet-and-aboveabove-portrait-tabletlandscape-tablet-and-abovelandscape-tablet-and-medium-wide-browserportrait-tablet-and-belowlandscape-tablet-and-belowAppsNewslettersAdvertise with UsAdvertising GuidelinesCookiesTerms of UsePrivacyAll quotes delayed a minimum of 15 minutes. See here for a complete list of exchanges and delays.© 2020 Reuters. All Rights Reserved.
| Alibaba to invest $1.4 billion in AI system for smart speakers | Alibaba invest 1.4 billion AI smart speakers Reuters Discover Thomson ReutersFinancialGovernment SolutionsLegalReuters News AgencyRisk Management SolutionsTax AccountingBlog: Answers OnInnovation @ Thomson ReutersDirectory sitesSupportBusinessMarketsIndiaSouth AsiaTVMoreIndia Technology NewsMay 20, 2020 7:38 AM Updated hour agoAlibaba invest 1.4 billion AI smart speakers2 Min ReadFILE PHOTO: A logo Alibaba Group seen exhibition World Intelligence Congress Tianjin, China May 16, 2019. REUTERSJason LeeFile Photo SHANGHAI Reuters Alibaba Group Holding Ltd invest 10 billion yuan 1.41 billion AI artificial intelligence IoT Internet Things centered Tmall Genie smart speaker, company announced Wednesday. The announcement comes ecommerce giant continues push new technologies business sectors online shopping. The money add content Tmall Genie, develop proprietary technology, Alibaba said. It launched model Tmall Genie 2017. Like Amazon Echo, sale China, smart speaker interact users voice interface play music, weather information, perform functions. The company released models then, including devices displays. Its latest model, announced Wednesday, costs 549 yuan 77.28 comes 10inch screen. Alibaba competes Xiaomi Corp Baidu smart speaker sector. In 2019, Alibaba shipped 16.8 million smart speakers consumers, Baidu shipped 17.3 million, according research firm Canalys. 1 = 7.1043 Chinese yuan renminbi Reporting Josh Horwitz, editing Louise Heavens Jason NeelyOur Standards:The Thomson Reuters Trust Principles.0 : 0narrowbrowserandphonemediumbrowserandportraittabletlandscapetabletmediumwidebrowserwidebrowserandlargermediumbrowserandlandscapetabletmediumwidebrowserandlargerabovephoneportraittabletandaboveaboveportraittabletlandscapetabletandabovelandscapetabletandmediumwidebrowserportraittabletandbelowlandscapetabletandbelowAppsNewslettersAdvertise UsAdvertising GuidelinessTerms UsePrivacyAll quotes delayed minimum 15 minutes. See complete list exchanges delays. 2020 Reuters. . | 2,020 | [
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https://www.prnewswire.com:443/news-releases/states-title-awarded-predictive-machine-learning-patent-to-support-instant-real-estate-closing-301183350.html | 2020-12-02T00:00:00 | en | States Title Awarded Predictive Machine Learning Patent to Support Instant Real Estate Closing |
States Title Awarded Predictive Machine Learning Patent to Support Instant Real Estate Closing
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States Title Awarded Predictive Machine Learning Patent to Support Instant Real Estate Closing
The new patent furthers State Title's mission to drive mortgage process automation
News provided by
States Title
Dec 02, 2020, 08:00 ET
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SAN FRANCISCO, Dec. 2, 2020 /PRNewswire/ -- States Title, one of the leading forces for disruptive change in the real estate industry, was issued a patent for "Predictive Machine Learning Models" by the U.S. Patent Office on August 25, 2020. By bringing the power of machine intelligence to the real estate loan closing process, States Title's technology is helping lenders, real estate professionals and homeowners transform the mortgage process to close more loans, faster. This is the third patent that States Title has been awarded for machine learning, further extending its lead as the only company that provides a patented, native machine intelligence solution for title and escrow.
One of the most important steps when closing a real estate transaction is to identify any loans currently encumbering a property. Parsing messy and incomplete property records to surface outstanding loans is a point of friction on many transactions, and a task that has required significant time and expertise from escrow officers. Patent 10,755,184 helps to define States Title's leadership position in becoming the first title and escrow company to solve this problem using machine learning.
"Automated open mortgage detection is an essential part of generating title commitments in minutes," said Brian Holligan, senior data science manager at States Title and patent co-inventor. "By integrating this technology into States Title's suite of Instant Underwriting solutions, we're approaching the process of establishing title on a property in a way nobody else has – resulting in a more affordable and efficient experience for everyone involved."
Together with the prior patents awarded to States Title, this latest patent signifies an irreversible and long-overdue advancement in the title and escrow industry. Rather than merely improving an aged system, States Title is reinventing how the entire settlement process is done. The company has filed additional patent applications, including one which supports its Instant Closing Disclosure technology.
About States Title
States Title enables an instant real estate closing experience. The company uses machine intelligence and its patented technology solution to transform residential real estate, making closings instant and affordable. States Title and its family of brands - North American Title Company (NATC) and North American Title Insurance Company (NATIC) - offers solutions for lenders, real estate agents, title agents, and homeowners that make closings vastly more simple and efficient, reducing cost and increasing customer satisfaction. States Title's clients include some of the largest bank and non-bank lenders in the U.S., and the company, which closed or issued insurance policies for nearly half a million transactions in 2019, is rapidly growing. To learn more visit statestitle.com.
Media Contact for States Title:
Juliet TravisLiftoff Communications [email protected]
SOURCE States Title
Related Links
https://www.statestitle.com
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| States Title Awarded Predictive Machine Learning Patent to Support Instant Real Estate Closing | States Title Awarded Predictive Machine Learning Patent Support Instant Real Estate Closing Resources Blog Journalists Log In Sign Up Data Privacy Send Release News Products Overview Distribution PR Newswire Cision Communications Cloud Cision IR All Products General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices ing content... No results found. Please change search terms try again. 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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 States Title Awarded Predictive Machine Learning Patent Support Instant Real Estate Closing The new patent furthers State Titles mission drive mortgage process automation News provided States Title Dec 02, 2020, 08:00 ET Share article SAN FRANCISCO, Dec. 2, 2020 PRNewswire States Title, leading forces disruptive change real estate industry, issued patent Predictive Machine Learning Models U.S. Patent Office August 25, 2020. By bringing power machine intelligence real estate loan closing process, States Titles technology helping lenders, real estate professionals homeowners transform mortgage process close loans, faster. This patent States Title awarded machine learning, extending lead company provides patented, native machine intelligence solution title escrow. One important steps closing real estate transaction identify loans currently encumbering property. Parsing messy incomplete property records surface outstanding loans point friction transactions, task required significant time expertise escrow officers. Patent 10,755,184 helps define States Titles leadership position title escrow company solve problem machine learning. Automated open mortgage detection essential generating title commitments minutes, said Brian Holligan, senior data science manager States Title patent coinventor. By integrating technology States Titles suite Instant Underwriting solutions, approaching process establishing title property way resulting affordable efficient experience involved. Together prior patents awarded States Title, latest patent signifies irreversible longoverdue advancement title escrow industry. Rather merely improving aged system, States Title reinventing entire settlement process done. The company filed additional patent applications, including supports Instant Closing Disclosure technology. About States Title States Title enables instant real estate closing experience. The company uses machine intelligence patented technology solution transform residential real estate, making closings instant affordable.States Title family brands North American Title Company NATC North American Title Insurance Company NATIC offers solutions lenders, real estate agents, title agents, homeowners closings vastly simple efficient, reducing cost increasing customer satisfaction. States Titles clients include largest bank nonbank lenders U.S., company, closed issued insurance policies nearly half million transactions 2019, rapidly growing. To learn visit . Media States Title: Juliet TravisLiftoff Communications [emailprotected] SOURCE States Title Related Links Modal title Cision Cision Distribution 8887760942 8 AM 9 PM ET Chat Expert 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 COVID19 Resources 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 Service Mark My Services All News Releases Online Member Center ProfNet Cision Distribution Helpline 8887760942 Terms Use Information Security Policy Site Map RSS Settings 2020 PR Newswire Association LLC. . 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] | 1 | NEGATIVE | 466 |
https://aindustryreports.com/2020/02/07/robotics-and-ai-to-change-the-future-of-trash-robots-market/ | 2020-02-07T00:00:00 | en | Robotics and AI to Change the Future of Trash Robots Market – Market Industry Reports |
Robotics and AI to Change the Future of Trash Robots Market – Market Industry Reports
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Robotics and AI to Change the Future of Trash Robots Market
[email protected] - February 7, 2020 - Technology
Trash Robot is a remote controlled machine that automatically sorts waste. It uses artificial intelligence to sort recyclables from waste at the point of disposal. Trash robots help to reduce waste and controls all types of pollution. Furthermore, trash robots use GPS system, motor and sensors to drive around as its battery gives it 16 kilometers of self-sufficiency. As, trash robots segregates all the waste within a second. By using cameras trash robots detect different types of waste such as plastics waste, glass waste, paper and others from the garbage by picking them up using large tongs. Trash robots can work on land as well as in water for segregating the waste that can be thrown away or can be recycled. Some of the trash robots is able to sort heavy and large objects of various sizes and shapes weighing up to 30kg by opening up 500mm of gripper.
The increasing trend of making smart cities and growing strict regulations by the government of developed and developing countries for efficient waste management is expected to boost the growth of trash robots market worldwide. The government of developing and developed countries are using trash robots to sort the waste and make it recyclable for further use. Moreover, government initiative programs such as PAYT (pay-as-you-throw) in Canada and the U.S, is expected to boost the demand of trash robots market.
Rising trend of Internet of Things (IoT) is expected to fuel the trash robots market. As, trash robots use Internet of Things (IoT) to monitor and manage waste that is to be recycled. Furthermore, trash robot helps to prevent the environment and people from germs and pollution. High initial investments and high operating costs towards the advanced technologies could hinder the growth of the trash robots market.
Request to View Brochure of [email protected] https://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=56676
The global trash robots market can be segmented on the basis of types, size, application, and regions. Based on the types, global trash robots market can be bifurcated into Cleaner & Collector (GCC) trash robot, Garbage Sorter and Exchanger (GSE) trash robot and Garbage Recycler and Waste Management (GRWM) trash robot. On the basis of size, trash robot can be segmented into three main types i.e. small, medium and large trash robots. Furthermore, on the basis of application, trash robots market can be segmented into residential, industrial and commercial.
Based on the region, the global trash robots market can be classified into North America, Europe, South America, Middle East & Africa, and Asia Pacific. The North America is expected to hold the global trash robots market by the existing manufacturers. The growth in North America is mainly attributed to increased use of trash robots for making efficient waste management decisions by the government of the U.S. The Asia-Pacific market is expected to grow at the significant rate during the forecast period due to growing demand for trash robots for reducing waste and pollution due to rising population.
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| Robotics and AI to Change the Future of Trash Robots Market | Robotics AI Change Future Trash Robots Market Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports Robotics AI Change Future Trash Robots Market [emailprotected] February 7, 2020 Technology Trash Robot remote controlled machine automatically sorts waste. It uses artificial intelligence sort recyclables waste point disposal. Trash robots help reduce waste controls types pollution. Furthermore, trash robots use GPS system, motor sensors drive battery gives 16 kilometers selfsufficiency. As, trash robots segregates waste second. By cameras trash robots detect different types waste plastics waste, glass waste, paper garbage picking large tongs. Trash robots work land water segregating waste thrown away recycled. Some trash robots able sort heavy large objects sizes shapes weighing 30kg opening 500mm gripper. The increasing trend making smart cities growing strict regulations government developed developing countries efficient waste management expected boost growth trash robots market worldwide. The government developing developed countries trash robots sort waste recyclable use. Moreover, government initiative programs PAYT payasyouthrow Canada U.S, expected boost demand trash robots market. Rising trend Internet Things IoT expected fuel trash robots market. As, trash robots use Internet Things IoT monitor manage waste recycled. Furthermore, trash robot helps prevent environment people germs pollution. High initial investments high operating costs advanced technologies hinder growth trash robots market. Request View Brochure [emailprotected] The global trash robots market segmented basis types, size, application, regions. Based types, global trash robots market bifurcated Cleaner Collector GCC trash robot, Garbage Sorter Exchanger GSE trash robot Garbage Recycler Waste Management GRWM trash robot. On basis size, trash robot segmented main types i.e. small, medium large trash robots. Furthermore, basis application, trash robots market segmented residential, industrial commercial. Based region, global trash robots market classified North America, Europe, South America, Middle East Africa, Asia Pacific. The North America expected hold global trash robots market existing manufacturers. The growth North America mainly attributed increased use trash robots making efficient waste management decisions government U.S. The AsiaPacific market expected grow significant rate forecast period growing demand trash robots reducing waste pollution rising population. Tagged Trash Robots Market Post navigation Previous PostPrevious Colloidal Metal Particles Ionic Colloidal SilverMarket 20192028 Country Level Analysis, CurrentTradeSize And Future Prospective With Key Manufactures, Drivers TrendsNext PostNext Weight Loss Obesity Management Market 2019 Analysis: Market Size, Share Production Consumption Analysis With Forecast To 2028 Honest Criticism Recent Posts Smart Home Service Market: Residential Sector Expected Remain Largest End User During Forecast Period 2018 2026 Subsea Pumps Market Gain Momentum reasing Utilization Subsea Technologies Oil Production Breast Cancer Therapeutics Market 2019 Global Trend, Segmentation Opportunities, Forecast 2025 Global Dynamic Voltage Restorer Market Research Key Players, Industry Overview, Supply Chain And Analysis Blood Preparation Market 2019 Global Trend, Segmentation Opportunities, Forecast 2025 2020 Market Industry Reports Powered FilaThemes | 2,020 | [
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] | 1 | NEGATIVE | 467 |
https://primefeed.in/market-reports/4890924/global-service-order-software-market-expeted-to-reach-xx-xx-mn-usd-with-growth-rate-of-x-x-by-2025-pandamic-impact-analysis-ai-field-management-synchroteam-mhelpdesk-housecall-pro-workwave-servi-2/ | 2020-09-02T00:00:00 | en | Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc. – Owned |
Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc. – Owned
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HomeMarket ReportsGlobal Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc.
Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025| Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc.
Posted On: September 2, 2020
Posted By: [email protected]
Comments: 0
Considering the sudden and unprecedented onset of a global pandemic triggered by COVID-19, this real-time market research presentation has dedicated a specific section in the report, elaborating on the massive implications of COVID-19 upon the Service Order Software Market.
Mindfully crafted research specifically highlights key elements such as market trends, specific to the pandemic as well as also brainstorms on potential opportunities triggered by COVID-19. Market participants can derive workable insights and necessary cues on the potential damage control practices that regional and global players can leverage to offset the impact of COVID-19.
The study encompasses profiles of major companies operating in the Service Order Software Market. Key players profiled in the report include:
Ai Field Management
Synchroteam
mHelpDesk
Housecall Pro
WorkWave Service
Service Fusion
SnapSuite
Jobber
FieldEdge
ServiceTitan
ServiceWorks
Pointman
GoCanvas
ThermoGRID
simPRO
ServSuite
PestPac
Mobiwork MWS
360e
JobLogic
Available Sample Report in PDF Version along with Graphs and [email protected] https://www.orbismarketreports.com/sample-request/92596?utm_source=Puja
What to Expect from the Report• A complete, in-depth analytical study of the parent market• A systematic walk-through the pertinent alterations in market dynamics• A detailed presentation of the segments and their respective elements• A systematic presentation of the various market developments and elements across historic and current perspectives to make necessary forecasts specific to the Service Order Software market• A complete analysis and assessment of niche industry developments• A review of market share developments• Elaborate strategy design and deployment of market forerunners• A clear presentation of major segments such as type and application as well as regional domains• A separate section on company testimonials that elaborately discuss success stories of industry veterans
Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.
On Cloud
On Premise
Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Service Order Software market mediates for superlative end-user benefits.
Large Enterprises
Small and Medium-sized Enterprises(SMEs)
Read complete report along with TOC @ https://www.orbismarketreports.com/global-service-order-software-market-growth-analysis-by-trends-and-forecast-2019-2025?utm_source=Puja
Global Service Order Software Market: Understanding Scope • Global Service Order Software market is one of the fastest growing industries and is rapidly influenced by constant development, technological advances and vendor activities such as portfolio diversification as well as geographical expansion investments. Further, it is also observed by research experts and analysts that M&A continue to be a significant growth booster, channeling omnipresent growth.
• Intensive research suggests global Service Order Software market is likely to witness a thumping growth through the forecast span, 2020-27, ticking a robust CAGR of xx%. The Service Order Software market is estimated to register a growth valuation of xx million US dollars in 2020 and is anticipated to gradually show optimistic spurt, reaching over xx million US dollars by 2027.
Decoding Regional Overview of the Service Order Software Market
Further in its subsequent sections of the report, this mindful presentation of the Service Order Software market lends vital details on regional scope and development sprees highlighting potential growth spots.– 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)
Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: Service Order Software Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More…
What To Expect From The Report • A complete analysis of the Service Order Software market.• Concrete and tangible alterations in market dynamics• A thorough study of dynamic segmentation of the Service Order Software market.• A complete review of historical, current as well as potential foreseeable growth projections concerning volume and value.• A holistic review of the vital market alterations and developments.• Notable growth friendly activities of leading players.
Shoot your queries at:@ https://www.orbismarketreports.com/enquiry-before-buying/92596?utm_source=Puja
About Us :
We are a team of highly professional researchers dedicated to unravel ongoing market developments. We are recognized as best in industry one stop store, offering intensively researched market-oriented information with superlative standards of impartiality and authenticity in order to rightfully influence favorable business decisions across a range of verticals. We are highly dependent on our information scavenging abilities and extremely reliant on our intuitive capabilities that lead towards novel opportunity mapping and result in profitable business models and high revenue structures.
Contact Us :
Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155
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| Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate of x.x by 2025 | Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc. Owned Owned Market Reports Analytics Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study HomeMarket ReportsGlobal Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc. Global Service Order Software Market Expeted To Reach xx.xx mn USD With growth Rate x.x 2025 Pandamic Impact Analysis: Ai Field Management, Synchroteam, mHelpDesk, Housecall Pro, WorkWave Service, etc. Posted On: September 2, 2020 Posted By: [emailprotected] Comments: 0 Considering sudden unprecedented onset global pandemic triggered COVID19, realtime market research presentation dedicated specific section report, elaborating massive implications COVID19 Service Order Software Market. Mindfully crafted research specifically highlights key elements market trends, specific pandemic brainstorms potential opportunities triggered COVID19. Market participants derive workable insights necessary cues potential damage control practices regional global players leverage offset impact COVID19. The study encompasses profiles major companies operating Service Order Software Market. Key players profiled report include: Ai Field Management Synchroteam mHelpDesk Housecall Pro WorkWave Service Service Fusion SnapSuite Jobber FieldEdge ServiceTitan ServiceWorks Pointman GoCanvas ThermoGRID simPRO ServSuite PestPac Mobiwork MWS 360e JobLogic Available Sample Report PDF Version Graphs [emailprotected] What Expect Report A complete, indepth analytical study parent market A systematic walkthrough pertinent alterations market dynamics A detailed presentation segments respective elements A systematic presentation market developments elements historic current perspectives necessary forecasts specific Service Order Software market A complete analysis assessment niche industry developments A review market share developments Elaborate strategy design deployment market forerunners A clear presentation major segments type application regional domains A separate section company testimonials elaborately discuss success stories industry veterans Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. On Cloud On Premise Analysis Application: Further subsequent sections report, research analysts rendered precise judgement applications Service Order Software market mediates superlative enduser benefits. Large Enterprises Small Mediumsized EnterprisesSMEs Read complete report TOC @ Global Service Order Software Market: Understanding Scope Global Service Order Software market fastest growing industries rapidly influenced constant development, technological advances vendor activities portfolio diversification geographical expansion investments. Further, observed research experts analysts MA continue significant growth booster, channeling omnipresent growth. Intensive research suggests global Service Order Software market likely witness thumping growth forecast span, 202027, ticking robust CAGR xx. The Service Order Software market estimated register growth valuation xx million US dollars 2020 anticipated gradually optimistic spurt, reaching xx million US dollars 2027. Decoding Regional Overview Service Order Software Market Further subsequent sections report, mindful presentation Service Order Software market lends vital details regional scope development sprees highlighting potential growth spots. 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 Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share Key Players Chapter 4. Breakdown Data Type Application Chapter 5. Market End UsersApplication Chapter 6. COVID19 Outbreak: Service Order Software Industry Impact Chapter 7. Opportunity Analysis Covid19 Crisis Chapter 9. Market Driving ForceAnd Many More What To Expect From The Report A complete analysis Service Order Software market. Concrete tangible alterations market dynamics A thorough study dynamic segmentation Service Order Software market. A complete review historical, current potential foreseeable growth projections concerning volume value. A holistic review vital market alterations developments. Notable growth friendly activities leading players. Shoot queries at:@ : We team highly professional researchers dedicated unravel ongoing market developments. We recognized best industry stop store, offering intensively researched marketoriented information superlative standards impartiality authenticity order rightfully influence favorable business decisions range verticals. We highly dependent information scavenging abilities extremely reliant intuitive capabilities lead novel opportunity mapping result profitable business models high revenue structures. Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Prev PostNext Post Owned Everestthemes | 2,020 | [
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https://www.urdupoint.com/en/technology/russias-roscosmos-plans-to-incorporate-artif-1019697.html | 2020-09-03T00:00:00 | en | Russias Roscosmos Plans To Incorporate Artificial Intelligence For Satellite Control - UrduPoint |
Russias Roscosmos Plans To Incorporate Artificial Intelligence For Satellite Control - UrduPoint
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HomeTechnologyNewsRussia's Roscosmos Plans to Incorporate Artificial Intelligence for Satellite Control
Russia's Roscosmos Plans To Incorporate Artificial Intelligence For Satellite Control
Daniyal Sohail
4 minutes ago
Thu 03rd September 2020 | 08:20 PM
TsNIIMash, the central research institute of the Russian State Space Corporation Roscosmos, is planning to adopt artificial intelligence (AI) technologies to boost the autonomy capability for Russian spacecraft and satellite constellations, according to the institute's scientific journal
MOSCOW (UrduPoint News / Sputnik - 03rd September, 2020) TsNIIMash, the central research institute of the Russian State Space Corporation Roscosmos, is planning to adopt artificial intelligence (AI) technologies to boost the autonomy capability for Russian spacecraft and satellite constellations, according to the institute's scientific journal.According to the article, the AI will significantly increase the level of autonomy of the spacecraft functioning, which, in turn, will enhance their survivability and simplify the ground infrastructure involved in the control loop of multi-satellite systems.
Researchers in the space industry have repeatedly warned about potential risks with satellite control systems in the event of deploying large satellite constellations such as Starlink and One Web, which are planning to launch tens of thousands of satellites into the orbit.In 2018, the TsNIIMash institute announced that it was going to develop technologies for controlling large orbital constellations taking into account the space debris. The institute has also created a Warning Automated System of Hazardous Situations in Near-Earth Space.
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| Russias Roscosmos Plans To Incorporate Artificial Intelligence For Satellite Control | Russias Roscosmos Plans To orporate Artificial Intelligence For Satellite Control UrduPoint Skip main content Home Election 2018 Pakistan Politics Crime Middle East Saudi Arabia UAE Bahrain Kuwait Qatar Egypt Jordan Palestine Lebanon Iraq Syria Yemen World Politics Crime Sports Cricket Football Hockey Miscellaneous PSL 2018 PSL 2019 PSL 2020 Business Technology Showbiz Miscellaneous Hollywood Bollywood Lollywood Fashion Health Education Kashmir More WeatherAgricultureNews FeatureInfotainment BlogViralScienceLifestyle Pictures Today News Pictures News Pictures Archive HomeTechnologyNewsRussias Roscosmos Plans orporate Artificial Intelligence Satellite Control Russias Roscosmos Plans To orporate Artificial Intelligence For Satellite Control Daniyal Sohail 4 minutes ago Thu 03rd September 2020 08:20 PM TsNIIMash, central research institute Russian State Space Corporation Roscosmos, planning adopt artificial intelligence AI technologies boost autonomy capability Russian spacecraft satellite constellations, according institutes scientific journal MOSCOW UrduPoint News Sputnik 03rd September, 2020 TsNIIMash, central research institute Russian State Space Corporation Roscosmos, planning adopt artificial intelligence AI technologies boost autonomy capability Russian spacecraft satellite constellations, according institutes scientific journal.According article, AI significantly increase level autonomy spacecraft functioning, which, turn, enhance survivability simplify ground infrastructure involved control loop multisatellite systems. Researchers space industry repeatedly warned potential risks satellite control systems event deploying large satellite constellations Starlink One Web, planning launch tens thousands satellites orbit.In 2018, TsNIIMash institute announced going develop technologies controlling large orbital constellations taking account space debris. The institute created Warning Automated System Hazardous Situations NearEarth Space. Facebook Twitter Google Share Whatsapp Related Topics Russia 2018 Event Industry Satellites Recent Stories Khalifa University, Lockheed Martin collaborate .. 39 minutes ago UAE celebrates International Day Charity Sat .. 1 hour ago MoHAP inaugurates coronavirus testing centre Fu .. 1 hour ago Oil Spill Off Mauritius Be Cleaned Innovativ .. 4 minutes ago Nation pay homage 1965 war heroes Sept 6: .. 4 minutes ago US Democrats Demand Probe Alleged Hatch Act V .. 4 minutes ago More Stories From Technology Facebook Plans Block All Political Adds Week Before US Election Zuckerberg 1 hour ago PTCL concludes Flagship Internship Program Experia 2020 3 hours ago Beijing Concerned With India Banning 118 Chinese Apps Commerce Ministry 4 hours ago Facebook launches new product Pakistan limit spread misinformation 5 hours ago Israel, Italy Launch NanoSatellite Conduct Remote Medical Experiments Reports 6 hours ago US Internet Association Stands Against Government Petition Industry Regulations 7 hours ago SCO starts fiber home service cities GB 8 hours ago Vega Rocket Launches 53 Satellites From French Guiana Space Center 10 hours ago Russia Offers Space Tourists Purchase Soyuz Reentry Capsule Upon Return Earth 1 day ago India bans 118 Chinese apps new backlash border dispute 1 day ago Iran Unveils New Domestic Radar System Reports 1 day ago Introducing Galaxy Z Fold2: Change Shape Future 1 day ago Us Advertisment ABOUT US Us Disclaimer Advertisment Our Network PakistanPoint English News Arabic News Who We Are Us Send Your Content RSS Feed News Widget Site Links: Education Urdu News Car Prices Breaking News English News Live Tv Channels Urdu Horoscope Horoscope Urdu Muslim Names Urdu Urdu Poetry Love Poetry Sad Poetry Prize Bond Mobile Prices Pakistan PTV Sports English Urdu Big Ticket Translate English Urdu Ramadan Calendar Prayer Times DDF Raffle Islamic Calendar Events Today Islamic Date Travel UAE Raffles Travel Guide Arabic Urdu Cooking Recipes Directory Pakistan Results Past Papers BISE Schools Pakistan Academies Tuition Centers UrduPoint Network largest independent digital media house Pakistan, catering needs users year 1997. We provide breaking news, Pakistani news, International news, Business news, Sports news, Urdu news Live Urdu News 19972020, UrduPoint Network All rights publication reserved . Reproduction proper consent allowed. | 2,020 | [
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https://www.timesunion.com/news/article/Dissident-Ai-Wei-Wei-Hong-Kong-anthem-law-almost-15319430.php | 2020-06-05T00:00:00 | en | Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' |
Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval'
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Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval'
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NewsDissident Ai Wei Wei: Hong Kong anthem law almost 'medieval'JAMES BROOKS, Associated PressJune 5, 2020Updated: June 5, 2020 10:43 a.m.
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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.Park Juwon/AP
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.
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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.
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| Dissident Ai Wei Wei: Hong Kong anthem law almost 'medieval' | Dissident Ai Wei Wei: Hong Kong anthem law medieval Currently Reading Dissident Ai Wei Wei: Hong Kong anthem law medieval eedition NewsSpecial ReportsCannabisPrescription ProgressBreaking NewsLocalCapitol ConfidentialState CapitolU.S. WorldOpinionObituariesNewslettersSportsSaratogaHS SportsSidelinesUAlbanySienaHockeyMLBNFLNBAGolfAuto RacingColumnistsBusinessWomen NewsSalary WizardPress ReleasesSponsored ContentMortgage RatesBusiness DirectoryEntertainmentHigh School MusicalsEvents CalendarSeen PhotosMovies TVTable HoppingRestaurantsLocal ArtsPuzzles PalaceBest Capital RegionYour HoroscopeComicsLivingRenewVow weddingsUpstateTable HoppingCelebrationsHouse WeekPuzzles PalaceHigh SchoolHealthFind DoctorSavings SourceSponsored ContentBlogsKristi BarletteCapitol ConfidentialLocal PoliticsTable HoppingShopportunistArts TalkMoviesCapital Region GivesJobsHomesFor SaleFor RentVirtual ToursNew HomesLand FarmsCommercialServicesAuctionsMortgage RatesHome StyleHouse WeekPlaces Spaces BlogCars New CarsVehicle ReviewsDealer PreOwned CarsClassic Cars BlogPrivate PreOwned CarsClassifieds ClassifiedsPlace Classified AdCoupons DealsLegal NoticesBusiness DirectoryPlace Legal NoticeRealtor AdsShopportunist BlogHow AdvertiseJob Listings Recommended Feds oppose Hossains early release, hes safer... Podcast: Reporters share experiences covering this... Class 2020: Submit poems, art, songs Jason Goughs forecast: Random showers head way A.M. Roundup: Cuomo encourages protesters get... Boy, 10, hit stray bullet Albany Coronavirus live updates: Local officials turn to... Hundreds Schenectady streets protest... Rensselaer wastetofuel developers grilled over... Albany Council pushes reforms activists for... NewsDissident Ai Wei Wei: Hong Kong anthem law medievalJAMES BROOKS,Associated PressJune 5, 2020Updated: June 5, 2020 10:43a.m. Facebook Twitter Email 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.Park JuwonAP 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. Most Popular Tickborne illness similar COVID makes resurgence Rally organizer says Shen students intimidated town, police calls Rochester radio hosts fired making racist onair comments Troy police prepare protest Patio dining returns Capital Region 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. Most Popular Tickborne illness similar COVID makes resurgence Rally organizer says Shen students intimidated town, police calls Rochester radio hosts fired making racist onair comments Troy police prepare protest Patio dining returns Capital Region Written ByJAMES BROOKS Return Top About Our Company Newspaper Delivery Safety Procedures Advertising Interest Based Ads Terms Use Privacy Notice Your California Privacy Rights Us Jobs TU Blogs Weather School Closings Events Calendar WeddingsCelebrations Births Obituaries Online Store Puzzles Palace Services r Services Home Delivery Become Carrier iPad app Reprint eEdition 2020 Hearst | 2,020 | [
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https://www.ncadvertiser.com/business/technology/article/Google-CEO-calls-for-regulation-of-artificial-14989076.php
Google CEO calls for regulation of artificial intelligence
KELVIN CHAN, AP Business Writer
Updated
8:01 am EST, Monday, January 20, 2020
FILE - In this Nov. 29, 2019, file photo, a metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Trump administration is proposing new rules guiding how the U.S. government regulates the use of artificial intelligence in medicine, transportation and other industries. The White House unveiled the proposals Tuesday, Jan. 7, and said they're meant to promote private sector applications of AI that are safe and fair. less
FILE - In this Nov. 29, 2019, file photo, a metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Trump ... more
Photo: Martin Meissner, AP
Photo: Martin Meissner, AP
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FILE - In this Nov. 29, 2019, file photo, a metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Trump administration is proposing new rules guiding how the U.S. government regulates the use of artificial intelligence in medicine, transportation and other industries. The White House unveiled the proposals Tuesday, Jan. 7, and said they're meant to promote private sector applications of AI that are safe and fair. less
FILE - In this Nov. 29, 2019, file photo, a metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Trump ... more
Photo: Martin Meissner, AP
Google CEO calls for regulation of artificial intelligence
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LONDON (AP) — Google’s chief executive called Monday for a balanced approach to regulating artificial intelligence, 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 artificial intelligence 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's 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 the 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 artificial intelligence, 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 was also due on Monday 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's then scheduled to head to the World Economic Forum in Davos, Switzerland, this week.
___
Follow Kelvin Chan at Twitter.com/chanman
___
For all of AP's tech coverage, visit https://apnews.com/apf-technology
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| Google CEO calls for regulation of artificial intelligence | Google CEO calls regulation artificial intelligence New Canaan Advertiser Home Us Help Advertise With Us FAQs Privacy Notice Terms Use Award New Canaan goes Alice Jennings Donated Christmas trees serve purpose New Canaan New Canaan YMCA holds Livestrong program graduation New Canaan Library honoring doctor News Police Fire Business Town Government Politics Elections People Submissions Donated Christmas trees serve purpose New Canaan New Canaan YMCA holds Livestrong program graduation New Canaan Library honoring doctor Talking Shop exhibition opens New Canaan Sports High School Sports Youth Sports Submissions New Canaan boys hockey edges St. Joseph New Canaan boys basketball defeats Danbury time New Canaan boys hockey defeats Staples fourth straight win New Canaan wrestling tops Stamford Schools Obituaries Obituaries Opinion Letters Editorial Columns Columns Main Elm Walshs Wonderings Editorial Cartoons Submissions New Canaan Fire Marshal: Stay alert silent killer Time tour New Canaan Police Headquarters Chamber says new New Canaan Library draw visitors Save historic library building New Canaan Around Town Community Town Meetings TV79 Schedule Lapham Community Center Religious Services Celebrate Summer Arts Features Arts Listings Arts Leisure Columns Arts Leisure Columns Test Drive Curtain Call Movie Menu The Conscious Cook Did I that? 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FILE In Nov. 29, 2019, file photo, metal head motor parts symbolizes artificial intelligence, AI, Essen Motor Show tuning motorsports Essen, Germany. The Trump ... Photo: Martin Meissner, AP Photo: Martin Meissner, AP Image 1 1 Caption Close Image 1 1 FILE In Nov. 29, 2019, file photo, metal head motor parts symbolizes artificial intelligence, AI, Essen Motor Show tuning motorsports Essen, Germany. The Trump administration proposing new rules guiding U.S. government regulates use artificial intelligence medicine, transportation industries. The White House unveiled proposals Tuesday, Jan. 7, said theyre meant promote private sector applications AI safe fair. FILE In Nov. 29, 2019, file photo, metal head motor parts symbolizes artificial intelligence, AI, Essen Motor Show tuning motorsports Essen, Germany. The Trump ... Photo: Martin Meissner, AP Google CEO calls regulation artificial intelligence 1 1 Back Gallery LONDON AP Googles chief executive called Monday balanced approach regulating artificial intelligence, telling European audience technology brings benefits negative consequences. Sundar Pichais comments come lawmakers governments seriously consider putting limits artificial intelligence 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. Shes 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 artificial intelligence, 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 Monday meet Frans Timmermans, EU commissioner overseeing European Green Deal, blocs plan fight climate change making continent carbon neutral 2050, including technology. Hes scheduled head World Economic Forum Davos, Switzerland, week. ___ Follow Kelvin Chan chanman ___ For APs tech coverage, visit Most Popular 1 Heres scoop: Ice cream shop coming New Canaan 2 New Canaan Library honoring doctor 3 How snow fell CT yesterday? 4 New Canaan teen issued summons threat directed school 5 Snowcovered roads lead crashes CT 6 New Canaan Library unveils plans 30 million new facility 7 Stamford romps New Canaan View Comments 2020 Hearst Communications, . 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https://thinkcuriouser.com/uncategorized/844751/artificial-intelligence-advanced-machine-learning-market-growth-prospects-and-competitive-analysis-by-2020-2026/ | 2020-11-20T00:00:00 | en | Artificial Intelligence & Advanced Machine Learning Market Growth Prospects and Competitive Analysis by 2020-2026 – The Think Curiouser |
Artificial Intelligence & Advanced Machine Learning Market Growth Prospects and Competitive Analysis by 2020-2026 – The Think Curiouser
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Artificial Intelligence & Advanced Machine Learning Market Growth Prospects and Competitive Analysis by 2020-2026
Post author
By [email protected]
Post date
November 20, 2020
The recent report titled “Global Artificial Intelligence & Advanced Machine Learning Market Size, Status and Forecast 2020-2026” offered by Researchmoz.us, comprises of a comprehensive investigation into the geographical landscape, industry size along with the revenue estimation of the business. Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the “Artificial Intelligence & Advanced Machine Learning market”.
This is the most recent report inclusive of the COVID-19 effects on the functioning of the market. It is well known that some changes, for the worse, were administered by the pandemic on all industries. The current scenario of the business sector and pandemic’s impact on the past and future of the industry are covered in this report.
Grab A Free Sample Copy of the Artificial Intelligence & Advanced Machine Learning Market Report
In market segmentation by manufacturers, the report covers the following companies : iCarbonX, Jibo, Next IT, Prisma Labs, AIBrain, Quadratyx, NVIDIA, Inbenta, Numenta, Intel and among others.
Exploring Growth Rate Over a Period:
Business owners looking to scale up their business can refer this report that contains data regarding the rise in sales within a given consumer base for the forecast period, 2020 to 2026. Product owners can use this information along with the driving factors such as demographics and revenue generated from other products discussed in the report to get a better analysis of their products and services. Besides, the research analysts have compared the market growth rate with the product sales to enable business owners to determine the success or failure of a specific product or service.
Artificial Intelligence & Advanced Machine Learning Market is segmented as below:
Analysis by Application:
Insurance
Banking and Capital Markets
Analysis by Product Type:
Smart Wallets
Voice-Assisted Banking
Global Artificial Intelligence & Advanced Machine Learning Market Report 2020 – Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Artificial Intelligence & Advanced Machine Learning industry.
The Report at a Glance
The Artificial Intelligence & Advanced Machine Learning market report focuses on the economic developments and consumer spending trends across different countries for the forecast period 2020 to 2026. The research further reveals which countries and regions will have a better standing in the years to come. Apart from this, the study talks about the growth rate, market share as well as the recent developments in the Artificial Intelligence & Advanced Machine Learning industry worldwide. Besides, the special mention of major market players adds importance to the overall market study.
Market segment by Region/Country including:
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America (Brazil, Argentina, Colombia and Chile etc.)
Middle East & Africa (South Africa, Egypt, Nigeria and Saudi Arabia etc.)
Do You Have Any Query Or Specific Requirement? Ask to Our Industry Expert
The research provides answers to the following key questions:
What is the expected growth rate of the Artificial Intelligence & Advanced Machine Learning market? What will be the market size for the forecast period, 2020 – 2026?
What are the major driving forces responsible for transforming the trajectory of the industry?
Who are major vendors dominating the Artificial Intelligence & Advanced Machine Learning industry across different regions? What are their winning strategies to stay ahead in the competition?
What are the market trends business owners can rely upon in the coming years?
What are the threats and challenges expected to restrict the progress of the industry across different countries?
What are the key opportunities that business owners can bank on for the forecast period, 2020 – 2026?
Why Choose Researchmoz?
Regional demand estimation and forecast
Pre-commodity pricing volatility
Technological updates analysis
Location Quotients Analysis
Raw Material Sourcing Strategy
Competitive Analysis
Product Mix Matrix
Vendor Management
Cost Benefit Analysis
Supply chain optimization analysis
Patent Analysis
Carbon Footprint Analysis
R & D Analysis
Mergers and Acquisitions
!!! Limited Time DISCOUNT Available!!! Get Your Copy at Discounted Price
To summarize, the global Artificial Intelligence & Advanced Machine Learning market report studies the contemporary market to forecast the growth prospects, challenges, opportunities, risks, threats, and the trends observed in the market that can either propel or curtail the growth rate of the industry. The market factors impacting the global sector also include provincial trade policies, international trade disputes, entry barriers, and other regulatory restrictions.
….
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ResearchMozMr. Rohit Bhisey,Tel: +1-518-621-2074USA-Canada Toll Free: 866-997-4948Email: [email protected]Follow us on LinkedIn @ http://bit.ly/2RtaFUo
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| Artificial Intelligence & Advanced Machine Learning Market Growth Prospects and Competitive Analysis by 2020-2026 | Artificial Intelligence Advanced Machine Learning Market Growth Prospects Competitive Analysis 20202026 The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Uncategorized Artificial Intelligence Advanced Machine Learning Market Growth Prospects Competitive Analysis 20202026 Post author By [emailprotected] Post date November 20, 2020 The recent report titled Global Artificial Intelligence Advanced Machine Learning Market Size, Status Forecast 20202026 offered Researchmoz.us, comprises comprehensive investigation geographical landscape, industry size revenue estimation business. Additionally, report highlights challenges impeding market growth expansion strategies employed leading companies Artificial Intelligence Advanced Machine Learning market. This recent report inclusive COVID19 effects functioning market. It known changes, worse, administered pandemic industries. The current scenario business sector pandemics impact past future industry covered report. Grab A Free Sample Copy Artificial Intelligence Advanced Machine Learning Market Report In market segmentation manufacturers, report covers following companies : iCarbonX, Jibo, Next IT, Prisma Labs, AIBrain, Quadratyx, NVIDIA, Inbenta, Numenta, Intel others. Exploring Growth Rate Over Period: Business owners looking scale business refer report contains data rise sales given consumer base forecast period, 2020 2026. Product owners use information driving factors demographics revenue generated products discussed report better analysis products services. Besides, research analysts compared market growth rate product sales enable business owners determine success failure specific product service. Artificial Intelligence Advanced Machine Learning Market segmented below: Analysis Application: Insurance Banking Capital Markets Analysis Product Type: Smart Wallets VoiceAssisted Banking Global Artificial Intelligence Advanced Machine Learning Market Report 2020 Market Size, Share, Price, Trend Forecast professional indepth study current state global Artificial Intelligence Advanced Machine Learning industry. The Report Glance The Artificial Intelligence Advanced Machine Learning market report focuses economic developments consumer spending trends different countries forecast period 2020 2026. The research reveals countries regions better standing years come. Apart this, study talks growth rate, market share recent developments Artificial Intelligence Advanced Machine Learning industry worldwide. Besides, special mention major market players adds importance overall market study. Market segment RegionCountry including: North America United States, Canada Mexico Europe Germany, UK, France, Italy, Russia Spain etc. AsiaPacific China, Japan, Korea, India, Australia Southeast Asia etc. South America Brazil, Argentina, Colombia Chile etc. Middle East Africa South Africa, Egypt, Nigeria Saudi Arabia etc. Do You Have Any Query Or Specific Requirement? Ask Our Industry Expert The research provides answers following key questions: What expected growth rate Artificial Intelligence Advanced Machine Learning market? What market size forecast period, 2020 2026? What major driving forces responsible transforming trajectory industry? Who major vendors dominating Artificial Intelligence Advanced Machine Learning industry different regions? What winning strategies stay ahead competition? What market trends business owners rely coming years? What threats challenges expected restrict progress industry different countries? What key opportunities business owners bank forecast period, 2020 2026? Why Choose Researchmoz? Regional demand estimation forecast Precommodity pricing volatility Technological updates analysis Location Quotients Analysis Raw Material Sourcing Strategy Competitive Analysis Product Mix Matrix Vendor Management Cost Benefit Analysis Supply chain optimization analysis Patent Analysis Carbon Footprint Analysis R D Analysis Mergers Acquisitions Limited Time DISCOUNT Available Get Your Copy Discounted Price To summarize, global Artificial Intelligence Advanced Machine Learning market report studies contemporary market forecast growth prospects, challenges, opportunities, risks, threats, trends observed market propel curtail growth rate industry. The market factors impacting global sector include provincial trade policies, international trade disputes, entry barriers, regulatory restrictions. . Us: ResearchMozMr. Rohit Bhisey,Tel: 15186212074USACanada Toll Free: 8669974948Email: [emailprotected]Follow LinkedIn @ Follow : Tags Artificial Intelligence Advanced Machine Learning, Artificial Intelligence Advanced Machine Learning Market, Artificial Intelligence Advanced Machine Learning Market Research, China Artificial Intelligence Advanced Machine Learning Market Growth, Europe Artificial Intelligence Advanced Machine Learning Market Trends, Global Artificial Intelligence Advanced Machine Learning Market, Impact COVID19 Artificial Intelligence Advanced Machine Learning, UK Artificial Intelligence Advanced Machine Learning Market Study, US Artificial Intelligence Advanced Machine Learning Market CAGR Mobile Robotics Market Dynamics, Comprehensive Analysis, Prospects Opportunities 20202026 ADAS Supplier Ecosystem Market 20202026 Growth Opportunities Prominent Players, Top Regions Applications Space Energy News Finance for: Recent Posts Live Vaccines Market Type, Application Manufacturers Industry Revenue Analysis Forecasts 2025 Wiper Market 2020: Global Business Growth, Demand, Trends, Key Players Forecasts till 2025 Voice Assistant Application Market Type, Application Manufacturers Industry Revenue Analysis Forecasts 2025 Disinfectant Equipment Market 2024 Insights Analysis 10 Company Profiles Becton, 3M Healthcare, Getinge AB, KimberlyClark Corporation, More Biosurfactant Sales Market: Opportunities Forecast Assessment, 20202026 2020 The Think Curiouser Powered WordPress To Up | 2,020 | [
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Elon Musk criticizes OpenAI exclusively licensing GPT-3 to Microsoft
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Elon Musk criticizes OpenAI exclusively…
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BusinessTechnology
Elon Musk criticizes OpenAI exclusively licensing GPT-3 to Microsoft
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Tesla CEO Elon Musk criticized Microsoft in a tweet following news that the company acquired an exclusive license for GPT-3, a language model created by OpenAI, that generates human-like text.
(Odd Andersen/AFP/Getty Image)
By Patrick Perron | [email protected] | Bay Area News GroupSeptember 28, 2020 at 5:42 a.m.By Jazmin Goodwin | CNN Business
Tesla CEO Elon Musk doesn’t seem to approve of Microsoft’s deal with OpenAI — the research company he co-founded in 2015.
The Tesla and Space X founder criticized Microsoft in a tweet following news that the company acquired an exclusive license for GPT-3, a language model created by OpenAI, that generates human-like text.
“This does seem like the opposite of open. OpenAI is essentially captured by Microsoft,” Musk tweeted on Thursday.
OpenAI, which was initially launched as a non-profit research company, was co-founded by Musk and included a heavy-hitting list of donors including Peter Thiel and Microsoft. The company’s goal is “to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.”
Microsoft’s Executive Vice President and Chief Technology Officer Kevin Scott announced the move in a blog post Tuesday, saying it will allow the company to “leverage its technical innovations to develop and deliver advanced AI solutions for our customers,” and “create new solutions that harness the amazing power of advanced natural language generation.”
Scott noted in the company’s blog post that GPT-3 would still be accessible via OpenAI’s application programming interface platform (API).
But Musk isn’t buying it and neither are other Twitter users, who feel the collaboration contradicts OpenAI’s aim of making its work accessible to all.
In February 2018, Musk stepped down as chairman of the company to “eliminate a potential future conflict” due to Tesla’s boosted efforts in AI development.
It’s unclear how much exclusivity OpenAI’s licensing deal will grant Microsoft with GPT-3.
AI’s battle of the billionaires
Despite Musk’s own investments in artificial intelligence, the billionaire has also been one of its most vocal critics.
Musk called AI an “existential threat” to humanity in 2017 and has also participated in a few billionaire feuds on the topic over the years. He notably called Facebook CEO Mark Zuckerberg’s understanding of AI “limited.”
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Elon Musk shares his thoughts on Bill Gates. They’re not pleasant
He’s also feuded with Microsoft founder Bill Gates. Gates holds an opposing view to Musk — who has made warnings of a future when he says the global race for AI technology will result in World War III.
“The so-called control problem that Elon is worried about isn’t something that people should feel is imminent,” Gates said in a joint interview with Microsoft CEO Satya Nadella for the WSJ. Magazine. “This is a case where Elon and I disagree. We shouldn’t panic about it. Nor should we blithely ignore the fact that eventually that problem could emerge.
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| Elon Musk criticizes OpenAI exclusively licensing GPT-3 to Microsoft | Elon Musk criticizes OpenAI exclusively licensing GPT3 Microsoft News News Latest Headlines Crime Public Safety Business Real Estate News Housing Economy California News National News World News Politics Technology Education Environment Science Health Mr. Roadshow Weather Transportation The Cannifornian Local Local News Map Bay Area San Jose Santa Clara County Peninsula San Mateo County Alameda County Santa Cruz County Sal Pizarro Opinion Opinion Editorials Opinion Columnists Letters Editor Commentary Political Cartoons Election Endorsements Sports Sports San Francisco 49ers San Francisco Giants Golden State Warriors Raiders Oakland Athletics San Jose Sharks San Jose Earthquakes College Sports Pac12 Hotline High School Sports Other Sports Sports Columnists Sports Blogs Scores Standings Things To Do Entertainment Things To Do Restaurants, Food Drink Celebrities TV Streaming Movies Music Theater Lifestyle Advice Travel Pets Animals Movie Listings Comics Puzzles Games Horoscopes Obituaries Obituaries Local Obituaries Place Obituary Log In GET BREAKING NEWS IN YOUR BROWSER. CLICK HERE TO TURN ON NOTIFICATIONS. X Todays E Edition Manage Subscription Sign Up Newsletters Weather News News Latest Headlines Crime Public Safety Business Real Estate News Housing Economy California News National News World News Politics Technology Education Environment Science Health Mr. Roadshow Weather Transportation The Cannifornian Local Local News Map Bay Area San Jose Santa Clara County Peninsula San Mateo County Alameda County Santa Cruz County Sal Pizarro Opinion Opinion Editorials Opinion Columnists Letters Editor Commentary Political Cartoons Election Endorsements Sports Sports San Francisco 49ers San Francisco Giants Golden State Warriors Raiders Oakland Athletics San Jose Sharks San Jose Earthquakes College Sports Pac12 Hotline High School Sports Other Sports Sports Columnists Sports Blogs Scores Standings Things To Do Entertainment Things To Do Restaurants, Food Drink Celebrities TV Streaming Movies Music Theater Lifestyle Advice Travel Pets Animals Movie Listings Comics Puzzles Games Horoscopes Obituaries Obituaries Local Obituaries Place Obituary Log In Elon Musk criticizes OpenAI exclusively Share this:Click share Facebook Opens new windowClick share Twitter Opens new windowClick email friend Opens new windowClick print Opens new window Trending: 49ers report card Raiders report card 2 South Bay quakes COVID19: Is flying safe? House deaths Election endorsements Breaking News Scorching temperatures, smoky skies predicted week, National Weather Service says BusinessTechnology Elon Musk criticizes OpenAI exclusively licensing GPT3 Microsoft Share this:Click share Facebook Opens new windowClick share Twitter Opens new windowClick email friend Opens new windowClick print Opens new window Tesla CEO Elon Musk criticized Microsoft tweet following news company acquired exclusive license GPT3, language model created OpenAI, generates humanlike text. Odd AndersenAFPGetty Image By Patrick Perron pperron Bay Area News GroupSeptember 28, 2020 5:42 a.m.By Jazmin Goodwin CNN Business Tesla CEO Elon Musk doesnt approve Microsofts deal OpenAI research company cofounded 2015. The Tesla Space X founder criticized Microsoft tweet following news company acquired exclusive license GPT3, language model created OpenAI, generates humanlike text. This like opposite open. OpenAI essentially captured Microsoft, Musk tweeted Thursday. OpenAI, initially launched nonprofit research company, cofounded Musk included heavyhitting list donors including Peter Thiel Microsoft. The companys goal advance digital intelligence way likely benefit humanity whole, unconstrained need generate financial return. Microsofts Executive Vice President Chief Technology Officer Kevin Scott announced blog post Tuesday, saying allow company leverage technical innovations develop deliver advanced AI solutions customers, create new solutions harness amazing power advanced natural language generation. Scott noted companys blog post GPT3 accessible OpenAIs application programming interface platform API. But Musk isnt buying Twitter users, feel collaboration contradicts OpenAIs aim making work accessible all. In February 2018, Musk stepped chairman company eliminate potential future conflict Teslas boosted efforts AI development. Its unclear exclusivity OpenAIs licensing deal grant Microsoft GPT3. AIs battle billionaires Despite Musks investments artificial intelligence, billionaire vocal critics. Musk called AI existential threat humanity 2017 participated billionaire feuds topic years. He notably called Facebook CEO Mark Zuckerbergs understanding AI limited. Related Articles Tesla CEO Elon Musks big bet rides better batteries Elon Musk expected use Tesla Battery Day argue end combustion engines New documentary examines Elon Musks conflict tiny Texas community Tesla cusp sales record, Elon Musk huge payday Elon Musk shares thoughts Bill Gates. Theyre pleasant Hes feuded Microsoft founder Bill Gates. Gates holds opposing view Musk warnings future says global race AI technology result World War III. The socalled control problem Elon worried isnt people feel imminent, Gates said joint interview Microsoft CEO Satya Nadella WSJ. Magazine. This case Elon I disagree. We shouldnt panic it. Nor blithely ignore fact eventually problem emerge. TheCNNWire 2020 Cable News Network, ., WarnerMedia Company. . Report error Policies Standards Us Get Morning Report email newsletters Facebook Twitter Instagram RSS Tags:Artificial IntelligenceElon MuskMicrosoftMorning WireTesla Patrick Perron Online producer Today All Access Digital offer 99 cents More Technology In lockdown, 86yearold blogger finds new purpose Federal judge postpones Trump ban popular app TikTok Silicon Valley Clean Energy launches eHub QA: How Californias ban gasolinepowered cars affects Member Services News Alerts Special Sections Facebook Twitter Instagram RSS Manage Your Subscription Now Todays eEdition Email Newsletters Mobile Apps Us Us Digital Access FAQ Reprints Archive Lottery Join Team Classifieds Marketplace Top Work Places Real Estate Place Obituary Place Legal Notice Advertise With Us MNG Network Advertising Daily Ads Public Notices 2020 MediaNews Group, . 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] | 1 | NEGATIVE | 473 |
https://www.theborneopost.com/2020/09/16/uggah-silver-patin-fish-from-batang-ai-has-big-economic-potential-market-outside-sarawak/ | 2020-09-16T00:00:00 | en | Uggah: Silver Patin fish from Batang Ai has big economic potential, market outside Sarawak | Borneo Post Online |
Uggah: Silver Patin fish from Batang Ai has big economic potential, market outside Sarawak | Borneo Post Online
Wednesday, September 16
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You are at:Home»News»Uggah: Silver Patin fish from Batang Ai has big economic potential, market outside Sarawak
Uggah: Silver Patin fish from Batang Ai has big economic potential, market outside Sarawak
0
By
Churchill Edward
on
September 16, 2020, Wednesday at 10:19 AM
News, Sarawak
A PBB Batang Ai leader Mikai Mandau presenting a memento to Uggah after the function while Mussen looks on.
LUBOK ANTU (Sept 16): The silver Patin fish from Batang Ai Hydro Dam has a big economic potential and market outside Sarawak, said Deputy Chief Minister Datuk Amar Douglas Uggah Embas.
The Minister for Modernisation of Agriculture, Native Land and Regional Development pointed out that the silver Patin from Batang Ai is the latest gourmet treat from Sarawak to Kuala Lumpur.
The catfish species is sold up to RM130 per kilogramme there, he said when launching the State Agriculture Department Agriculture Community Outreach Programme (AgriCoP) at the Lubok Antu Sports Stadium here yesterday (Tuesday).
“We are now already selling our Batang Ai Tilapia fish to the rather discerning Singapore market. Our Chief Minister Datuk Patinggi Abang Johari Tun Openg is himself a strong promoter of our Tilapia.”
“We still have the potential to do more fish cage culture projects in Bakun and Murum dams lakes which we have not really done,” he said.
Uggah said the Sarawak Land Consolidation and Rehabilitation Authority (Salcra) in Batang Ai would venture into producing fish meal and fish fry to sustain the industry.
On the AgriCOP activity, he said it was to publicise the state Agriculture Department various programmes toward empowering the people to become modern farmers, breeders and fishermen.
“Our Chief Minister has wanted the sector, allocated with a development budget of RM797 million this year, to be transformed into a modern one using high technologies to allow better productivity and income.”
“It is the way forward for Sarawak to achieve its objective of becoming a net food and food products exporter by 2030.”
“He (Abang Johari) also wants the farmers to diversify their activities instead of relying solely on oil palm or pepoer which are often subjected to price up and down in the market,” he stressed.
At the function, Uggah announced an allocation of RM500,000 for more agricultural programmes for Batang Ai.
On politics, Uggah who is a Parti Pesaka Bumiputera Bersatu (PBB) deputy president urged all party members here to give their full support to three-term Batang Ai assemblyman Datuk Malcolm Mussen Lamoh from the GPS component party of Parti Rakyat Sarawak.
He strongly denied claims that a PBB member would challenge Mussen in the coming state election.
In his speech earlier on, Mussen thanked all members of GPS component parties here for their continuous strong support.
“Anyone who wants to be successful will need the support of all others. Batang Ai is still a GPS stronghold,” he said, adding that he is confident that the seat will remain a GPS stronghold in the coming election.
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| Uggah: Silver Patin fish from Batang Ai has big economic potential, market outside Sarawak | Uggah: Silver Patin fish Batang Ai big economic potential, market outside Sarawak Borneo Post Online Wednesday, September 16 Facebook Twitter YouTube RSS Navigate Home News Sarawak Sabah Nation World Features Business Sports Columns Just point view Uncle DI abidinideas Sarawak Yes Nature Matters Science Technology You at:HomeNewsUggah: Silver Patin fish Batang Ai big economic potential, market outside Sarawak Uggah: Silver Patin fish Batang Ai big economic potential, market outside Sarawak 0 By Churchill Edward September 16, 2020, Wednesday 10:19 AM News, Sarawak A PBB Batang Ai leader Mikai Mandau presenting memento Uggah function Mussen looks on. LUBOK ANTU Sept 16: The silver Patin fish Batang Ai Hydro Dam big economic potential market outside Sarawak, said Deputy Chief Minister Datuk Amar Douglas Uggah Embas. The Minister Modernisation Agriculture, Native Land Regional Development pointed silver Patin Batang Ai latest gourmet treat Sarawak Kuala Lumpur. The catfish species sold RM130 kilogramme there, said launching State Agriculture Department Agriculture Community Outreach Programme AgriCoP Lubok Antu Sports Stadium yesterday Tuesday. We selling Batang Ai Tilapia fish discerning Singapore market. Our Chief Minister Datuk Patinggi Abang Johari Tun Openg strong promoter Tilapia. We potential fish cage culture projects Bakun Murum dams lakes done, said. Uggah said Sarawak Land Consolidation Rehabilitation Authority Salcra Batang Ai venture producing fish meal fish fry sustain industry. On AgriCOP activity, said publicise state Agriculture Department programmes empowering people modern farmers, breeders fishermen. Our Chief Minister wanted sector, allocated development budget RM797 million year, transformed modern high technologies allow better productivity income. It way forward Sarawak achieve objective net food food products exporter 2030. He Abang Johari wants farmers diversify activities instead relying solely oil palm pepoer subjected price market, stressed. At function, Uggah announced allocation RM500,000 agricultural programmes Batang Ai. On politics, Uggah Parti Pesaka Bumiputera Bersatu PBB deputy president urged party members support threeterm Batang Ai assemblyman Datuk Malcolm Mussen Lamoh GPS component party Parti Rakyat Sarawak. He strongly denied claims PBB member challenge Mussen coming state election. In speech earlier on, Mussen thanked members GPS component parties continuous strong support. Anyone wants successful need support others. Batang Ai GPS stronghold, said, adding confident seat remain GPS stronghold coming election. Facebook Messenger Twitter WhatsApp Email Print Previous ArticlePlans revive tourism sector beginning bear fruit Nancy Recommended Posts Like Facebook Follow Twitter Youtube channel Us Vacancies newsletter 20102020The Borneo Post Sdn Bhd. . | 2,020 | [
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https://3wnews.org/news/390782/artificial-intelligence-ai-software-market-2020-trends-share-size-and-forecasts/ | 2020-03-24T00:00:00 | en | Artificial Intelligence (AI) Software Market 2020 Trends, Share, Size and Forecasts – 3rd Watch News |
Artificial Intelligence (AI) Software Market 2020 Trends, Share, Size and Forecasts – 3rd Watch News
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Artificial Intelligence (AI) Software Market 2020 Trends, Share, Size and Forecasts
Posted On: March 24, 2020
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Artificial Intelligence (AI) Software Industry by Growth 2020 – Technological Strategies, Business Advancements and Top-Vendor Landscape 2026, anticipated to grow with the highest CAGR during forecasts period. Which features authentic and accurate information about this market research report along with a future forecast for the period 2020-2026. All the key market aspects that influence the Artificial Intelligence (AI) Software market currently and will have an impact on it have been assessed and propounded in the Artificial Intelligence (AI) Software market research status and development trends reviewed in the new report.
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| Artificial Intelligence (AI) Software Market 2020 Trends, Share, Size and Forecasts | Artificial Intelligence AI Software Market 2020 Trends, Share, Size Forecasts 3rd Watch News Us 3rd Watch News 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeNewsArtificial Intelligence AI Software Market 2020 Trends, Share, Size Forecasts Artificial Intelligence AI Software Market 2020 Trends, Share, Size Forecasts Posted On: March 24, 2020 Posted By: [emailprotected] Comments: 0 Artificial Intelligence AI Software Industry Growth 2020 Technological Strategies, Business Advancements TopVendor Landscape 2026, anticipated grow highest CAGR forecasts period. Which features authentic accurate information market research report future forecast period 20202026. All key market aspects influence Artificial Intelligence AI Software market currently impact assessed propounded Artificial Intelligence AI Software market research status development trends reviewed new report. Next, learn build strategy business case implement. Learn Artificial Intelligence AI Software market provide value business. In market, competitive scenario major market players focusing sales revenue, customer demands, company profile, importexport scenario, business strategies help emerging market segments making major business decisions. This report studies global market competition landscape, market drivers trends, opportunities challenges, risks entry barriers, sales channels, distributors Porters Five Forces Analysis. Get Sample Pages TOC understand structure complete report @ About report: The new tactics Artificial Intelligence AI Software market report offers comprehensive market breakdown basis value, volume, CAGR, YoY growth. For business robust expansion, report suggests new tools technology development drive boom near future 2026. The Artificial Intelligence AI Software market report provides comprehensive outline Invention, Industry Requirement, technology production analysis considering major factors revenue, investments business growth. This report Artificial Intelligence AI Software Market discovers diverse topics regional market scope, productmarket applications, market size according specific product, Artificial Intelligence AI Software sales revenue region, manufacturing cost analysis, industrial chain, market effect factors Analysis, more. Buy Report @ The data analysis report appropriate variety useful business reasons, including: Business Evolution Future Strategic Planning Forecast 2026 Determination Market Size In The Upcoming Years, Top Trends Future Scope Competitive Analysis Investment Decisions Artificial Intelligence AI Software Post navigation Prev PostNext Post Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Recent Posts Latest Updated Report Urinalysis Reagents Market 20202026 Major Companies: Seimens Healthineers, Roche Diagnostics, Cardinal Health, Arkray, Sysmex, Alere, Beckman Coulter, BioRad Global Full Body Scanners Market Size Global Industry,Overview, Size Share 20202024 Global Face Voice Biometrics Market Worldwide Opportunities, Share, Key Players And Competitive Landscape Prediction To 2024 Drywall Building Plaster Market : Opportunities, Demand Forecasts, 20192025 Global Submarine Communications Optical Fiber Cable Market Research Strategy Focuses On Exploring Key Factors Influencing The Industry Development Recent CommentsKelapek CARDIOLOGY INFORMATION SYSTEM CIS MARKET TRENDS, MARKET SHARE, INDUSTRY SIZE, GROWTH, SALES, OPPORTUNITIES, ANALYSIS AND FORECAST TO 2028Archives March 2020 February 2020 January 2020 December 2019 Categories Business Opportunity Emerging Trends Global News Growth Prospects Industry Industry Analytics Industry Reports Lifestyle Market Market Research News Reports Satellite Sections Space Meta Log Entries RSS Comments RSS 3rd Watch News Everestthemes | 2,020 | [
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https://economictimes.indiatimes.com/news/politics-and-nation/agnext-technologies-offers-to-set-up-an-ai-center-at-tocklai-for-tea-industry/articleshow/74010790.cms | 2020-02-07T00:00:00 | en | assam: Agnext Technologies offers to set up an AI center at Tocklai for tea industry - The Economic Times | assam: Agnext Technologies offers to set up an AI center at Tocklai for tea industry - The Economic Times SECTIONSENGLISHहिन्दीગુજરાતીET APPSET Android AppET iPhone AppET iPad AppET Wealth Android AppET Blackberry AppET Markets Android AppET Markets iPhone AppET Money Android AppE-PAPERET PRIMESIGN-INFOLLOW USFACEBOOKTWITTERYOUTUBELINKEDININSTAGRAMFLIPBOARDPINTERESTRSSHomeBudget 2020MarketsNewsIndustryRISEPoliticsWealthMFTechJobsOpinionBlogsNRIPanacheET NOWNewsPodcastEconomyAgricultureFinanceForeign TradeIndicatorsInfrastructurePolicyIndustryPolitics and NationDefenceDefence NationalInternationalIndustryCompanyCorporate TrendsDealsInternationalBusinessWorld NewsElectionsLok SabhaUttar PradeshMaharashtraWest BengalBiharTamil NaduIndiaAssembly ElectionsDelhiJharkhandMaharashtraHaryanaMizoramTelanganaChhattisgarhMadhya PradeshRajasthanMoreET ExplainsSportsScienceIndia UnlimitedSwachh BharatMake in IndiaSmart Cities24X7 PowerModel VillagesFinancial InclusionTax ReformsDigital GovernanceVisit IndiaCSRET 2Good 4GoodCSR CompendiumCSR Practitioner SeriesNewsPolicyAnalysis & TrendsInitiativesEnvironmentClean Air InitiativeGlobal WarmingThe Good EarthDevelopmental IssuesFlora & FaunaPollutionWild & WackyEarth SummitET TVLatest NewsMost ReadMost SharedMost CommentedBusiness News›News›Politics and Nation›Agnext Technologies offers to set up an AI center at Tocklai for tea industry Benchmarks Nifty12,098.35-39.6Stock ScreenerSearch, Select & Invest in Top StocksTop Growth StocksStocks with Regular PayoutMid-Cap Growth StocksFEATURED FUNDSMirae Asset Large Cap Fund Regular- Growth★★★★★5Y Return11.04 %
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Invest NowStock Analysis, IPO, Mutual Funds, Bonds & MoreMarket WatchPinterestRedditFlipboard Agnext Technologies offers to set up an AI center at Tocklai for tea industryAssam is the largest producer of tea in India and accounts for 52 percent of India’s tea. In 2018, Assam’s production touched 692 million kgs.By
Bikash Singh, ET Bureau|Last Updated: Feb 07, 2020, 07.10 PM IST0Comments
AgenciesRepresentative ImageGUWAHATI: Agnext Technologies offered to set up an Artificial Intelligence Center of Excellence at Tocklai at their own cost to accelerate data driven technologies in the tea industry.
Joydeep Phukan, secretary Tea Research Association (TRA)said that Chairman TRA agreed in principle to offer some space at the campus and Agnext will build a state of the art facilities.
He said It is a collaborative effort between TRA Tocklai and Agnext Technologies to fully work on artificial intelligence and data driven technology. This will be the first of its kind for tea industry globally.
Assam is the largest producer of tea in India and accounts for 52 percent of India’s tea. In 2018, Assam’s production touched 692 million kgs.
Read more onassamTea industryTea Research AssociationTocklaiIndiaagnext technologiesartificial intelligenceArtificial Intelligence CenterAlso ReadGovt to repeal Plantation Labour Act; tea industry concernedTea industry hoping for Diwali bonanzaReport on issues affecting performances of tea industry submitted to Assam governmentRepealing of Plantation Labour Act 1951 will affect the tea Industry: Tea Association of IndiaAssam Company unveils new technologies to provide fillip to tea industryCommentsAdd Your CommentsCommenting feature is disabled in your country/region.Delhi Poll BuzzCongress missing in action, it's AAP versus BJPWe are not soft nationalists, we are hardcore nationalists: Arvind KejriwalBJP targets AAP’s voter base in slumsDelhi badlands get ready for electoral fightMore From Delhi Poll BuzzRelatedMost ReadMost SharedGovt to repeal Plantation Labour Act; tea industry concernedTea industry hoping for Diwali bonanzaReport on issues affecting performances of tea industry submitted to Assam governmentRepealing of Plantation Labour Act 1951 will affect the tea Industry: Tea Association of IndiaAssam Company unveils new technologies to provide fillip to tea industryTea industry in crisis says Indian Tea Association in public appealPolitics Trending TermsManish SisodiaCoronavirus death count LIVE updatesDelhi Assembly ElectionCoronavirus Treatment in IndiaDelhi Election DateCoronavirus case in KeralaCountries affected by coronavirusShaheen Bagh FiringYogi AdityanathCongress Browse CompaniesABCDEFGHIJKLMNOPQRSTUVWXYZ|123456789Trending NowDelhi election scheduleCoronavirus in India LIVE newsCoronavirus cases in IndiaCoronavirus Death Toll in ChinaBudget HighlightsNarendra ModiNRC and CAACitizenship ActPopular CategoriesPodcastEconomyIndustryPolitics and NationDefenceCompanyInternationalElectionsET ExplainsSportsScienceIndia UnlimitedEnvironmentET TVLatest NewsHot on WebSensex todayBank Holidays February 2020Income tax savingsBudget 2020 LiveIPO Allotment StatusRBI PolicyStock market crashGSTRupeeAadhaar CardRBIHow to save Income TaxCurrency ConverterIncome Tax CalculatorIn Case you missed itCoronavirus death toll LIVE updatesKerala WeatherMumbai WeatherDelhi WeatherElection 2020Earthquake in DelhiEarthquake in JammuNirmala SitharamanGreen crackersRaghuram RajanSundar PichaiET VerticalsAuto NewsRetail NewHealth NewsTelecom NewsEnergy NewsIT NewsReal Estate NewsMarketing & Advertising NewsTechnology NewsCFO NewsIT Security NewsMore from our networkइकनॉमिक टाइम्सઈકોનોમિક ટાઈમ્સPune MirrorBangalore MirrorAhmedabad MirrorItsMyAscentEducation TimesBrand CapitalMumbai MirrorTimes NowIndiatimesमहाराष्ट्र टाइम्सವಿಜಯ ಕರ್ನಾಟಕAdAge IndiaEisamayIGN IndiaIamGujaratTimes of IndiaSamayam TamilSamayam TeluguMiss KyraBombay TimesFilmipopMX PlayerNewspaper SubscriptionTimes PrimeColombiaOther useful LinksAbout UsSubscribe to ET PrimeSubscribe to ET Ad-FreeCall 1800 1200 004 (Toll Free)Book your Newspaper SubscriptionCreate Your Own AdAdvertise with UsTerms of Use & Grievance RedressalPrivacy policyCompany Name: Times Internet LimitedRegistered Office Address: 9-10,Bahardurshah Zafar Marg, New Delhi - 110002Corporate Identity Number: U74999DL1999PLC135531Grievance Officer: Deepak AjwaniEmail: [email protected] UsRSSservicesBuy carBikes in IndiaUsed CarsLongwalks AppFollow us onDownload et appsubscribe to our newsletterBecome a memberCopyright © 2020 Bennett, Coleman & Co. Ltd. All rights reserved. For reprint rights: Times Syndication Service1Agnext Technologies offers to set up an AI center at Tocklai for tea industryKerala finance minister presents budget with 15 % higher expenditureHarsh Vardhan seeks Rahul's apology for 'derogatory' remarks against PM ModiScientists find 75-90 % decline in Leopard population in IndiaNirbhaya case: Delhi court dismisses Tihar's plea seeking fresh date for execution of convictsSigning of Bodo accord brings new dawn for Assam, North East: PM ModiCongress MPs came to my seat in LS, tried to attack me: Harsh VardhanNirbhaya case: SC to hear on Feb 11 Centre's plea against Delhi HC verdictOmar Abdullah, Mehbooba Mufti need to be freed: Priyanka Gandhi on ex-CMs PSA chargeModi doesn't behave like prime minister: RahulUproar in LS over Harsh Vardhan's remarks on Rahul<![if !IE]><![endif]>To see your saved stories, click on link hightlighted in boldTo post this comment you mustLog In/Connect with:The Economic TimesorFill in your details:Will be displayedWill not be displayedWill be displayedShare this Comment:Post to Twitter | assam: Agnext Technologies offers to set up an AI center at Tocklai for tea industry | assam: Agnext Technologies offers set AI center Tocklai tea industry The Economic Times SECTIONSENGLISHET APPSET Android AppET iPhone AppET iPad AppET Wealth Android AppET Blackberry AppET Markets Android AppET Markets iPhone AppET Money Android AppEPAPERET PRIMESIGNINFOLLOW USFACEBOOKTWITTERYOUTUBELINKEDININSTAGRAMFLIPBOARDPINTERESTRSSHomeBudget 2020MarketsNewsIndustryRISEPoliticsWealthMFTechJobsOpinionBlogsNRIPanacheET NOWNewsPodcastEconomyAgricultureFinanceForeign TradeIndicatorsInfrastructurePolicyIndustryPolitics NationDefenceDefence NationalInternationalIndustryCompanyCorporate TrendsDealsInternationalBusinessWorld NewsElectionsLok SabhaUttar PradeshMaharashtraWest BengalBiharTamil NaduIndiaAssembly ElectionsDelhiJharkhandMaharashtraHaryanaMizoramTelanganaChhattisgarhMadhya PradeshRajasthanMoreET ExplainsSportsScienceIndia UnlimitedSwachh BharatMake IndiaSmart Cities24X7 PowerModel VillagesFinancial lusionTax ReformsDigital GovernanceVisit IndiaCSRET 2Good 4GoodCSR CompendiumCSR Practitioner SeriesNewsPolicyAnalysis TrendsInitiativesEnvironmentClean Air InitiativeGlobal WarmingThe Good EarthDevelopmental IssuesFlora FaunaPollutionWild WackyEarth SummitET TVLatest NewsMost ReadMost SharedMost CommentedBusiness NewsNewsPolitics NationAgnext Technologies offers set AI center Tocklai tea industry Benchmarks Nifty12,098.3539.6Stock Screener, Select Invest Top StocksTop Growth StocksStocks Regular PayoutMidCap Growth StocksFEATURED FUNDSMirae Asset Large Cap Fund Regular Growth5Y Return11.04 Invest NowFEATURED FUNDSAxis Long Term Equity Direct PlanGrowth5Y Return12.74 Invest NowFEATURED FUNDSICICI Prudential Bluechip Fund DirectGrowth5Y Return9.41 Invest NowFEATURED FUNDSKotak Standard Multicap Fund RegularGrowth5Y Return10.73 Invest NowFEATURED FUNDSHDFC MidCap Opportunities Direct PlanGrowth5Y Return10.3 Invest NowStock Analysis, IPO, Mutual Funds, Bonds MoreMarket WatchPinterestRedditFlipboard Agnext Technologies offers set AI center Tocklai tea industryAssam largest producer tea India accounts 52 percent Indias tea. In 2018, Assams production touched 692 million kgs.By Bikash Singh, ET BureauLast Updated: Feb 07, 2020, 07.10 PM IST0Comments AgenciesRepresentative ImageGUWAHATI: Agnext Technologies offered set Artificial Intelligence Center Excellence Tocklai cost accelerate data driven technologies tea industry. Joydeep Phukan, secretary Tea Research Association TRAsaid Chairman TRA agreed principle offer space campus Agnext build state art facilities. He said It collaborative effort TRA Tocklai Agnext Technologies fully work artificial intelligence data driven technology. This kind tea industry globally. Assam largest producer tea India accounts 52 percent Indias tea. In 2018, Assams production touched 692 million kgs. Read onassamTea industryTea Research AssociationTocklaiIndiaagnext technologiesartificial intelligenceArtificial Intelligence CenterAlso ReadGovt repeal Plantation Labour Act; tea industry concernedTea industry hoping Diwali bonanzaReport issues affecting performances tea industry submitted Assam governmentRepealing Plantation Labour Act 1951 affect tea Industry: Tea Association IndiaAssam Company unveils new technologies provide fillip tea industryCommentsAdd Your CommentsCommenting feature disabled countryregion.Delhi Poll BuzzCongress missing action, AAP versus BJPWe soft nationalists, hardcore nationalists: Arvind KejriwalBJP targets AAPs voter base slumsDelhi badlands ready electoral fightMore From Delhi Poll BuzzRelatedMost ReadMost SharedGovt repeal Plantation Labour Act; tea industry concernedTea industry hoping Diwali bonanzaReport issues affecting performances tea industry submitted Assam governmentRepealing Plantation Labour Act 1951 affect tea Industry: Tea Association IndiaAssam Company unveils new technologies provide fillip tea industryTea industry crisis says Indian Tea Association public appealPolitics Trending TermsManish SisodiaCoronavirus death count LIVE updatesDelhi Assembly ElectionCoronavirus Treatment IndiaDelhi Election DateCoronavirus case KeralaCountries affected coronavirusShaheen Bagh FiringYogi AdityanathCongress Browse CompaniesABCDEFGHIJKLMNOPQRSTUVWXYZ123456789Trending NowDelhi election scheduleCoronavirus India LIVE newsCoronavirus cases IndiaCoronavirus Death Toll ChinaBudget HighlightsNarendra ModiNRC CAACitizenship ActPopular CategoriesPodcastEconomyIndustryPolitics NationDefenceCompanyInternationalElectionsET ExplainsSportsScienceIndia UnlimitedEnvironmentET TVLatest NewsHot WebSensex todayBank Holidays February 2020ome tax savingsBudget 2020 LiveIPO Allotment StatusRBI PolicyStock market crashGSTRupeeAadhaar CardRBIHow save ome TaxCurrency Converterome Tax CalculatorIn Case missed itCoronavirus death toll LIVE updatesKerala WeatherMumbai WeatherDelhi WeatherElection 2020Earthquake DelhiEarthquake JammuNirmala SitharamanGreen crackersRaghuram RajanSundar PichaiET VerticalsAuto NewsRetail NewHealth NewsTelecom NewsEnergy NewsIT NewsReal Estate NewsMarketing Advertising NewsTechnology NewsCFO NewsIT Security NewsMore network Pune MirrorBangalore MirrorAhmedabad MirrorItsMyAscentEducation TimesBrand CapitalMumbai MirrorTimes NowIndiatimes AdAge IndiaEisamayIGN IndiaIamGujaratTimes IndiaSamayam TamilSamayam TeluguMiss KyraBombay TimesFilmipopMX PlayerNewspaper SubscriptionTimes PrimeColombiaOther useful Links ET Prime ET AdFreeCall 1800 1200 004 Toll FreeBook Newspaper SubscriptionCreate Your Own AdAdvertise UsTerms Use Grievance RedressalPrivacy policyCompany Name: Times Internet Limiteded Office Address: 910,Bahardurshah Zafar Marg, New Delhi 110002Corporate Identity Number: U74999DL1999PLC135531Grievance Officer: Deepak AjwaniEmail: grievance.et UsRSSservicesBuy carBikes IndiaUsed CarsLongwalks AppFollow onDownload et appsubscribe newsletterBecome member 2020 Bennett, Coleman Co. Ltd. . For reprint rights: Times Syndication Service1Agnext Technologies offers set AI center Tocklai tea industryKerala finance minister presents budget 15 higher expenditureHarsh Vardhan seeks Rahuls apology derogatory remarks PM ModiScientists 7590 decline Leopard population IndiaNirbhaya case: Delhi court dismisses Tihars plea seeking fresh date execution convictsSigning Bodo accord brings new dawn Assam, North East: PM ModiCongress MPs came seat LS, tried attack me: Harsh VardhanNirbhaya case: SC hear Feb 11 Centres plea Delhi HC verdictOmar Abdullah, Mehbooba Mufti need freed: Priyanka Gandhi exCMs PSA chargeModi doesnt behave like prime minister: RahulUproar LS Harsh Vardhans remarks Rahul<[if IE]><[endif]>To saved stories, click link hightlighted boldTo post comment mustLog InConnect with:The Economic TimesorFill details:Will displayedWill displayedWill displayedShare Comment:Post Twitter | 2,020 | [
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https://www.registercitizen.com/news/article/Lost-your-job-due-to-coronavirus-Artificial-15466476.php | 2020-08-07T00:00:00 | en | Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one - The Register Citizen |
Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one - The Register Citizen
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Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one
Stewart Black, INSEAD
Published
9:03 am EDT, Friday, August 7, 2020
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.)
Stewart Black, INSEAD and Patrick van Esch, Auckland University of Technology
(THE CONVERSATION) Millions of Americans are unemployed and looking for work. Hiring continues, but there’s far more demand for jobs than supply.
As scholars of human resources and management, we believe artificial intelligence could be a boon for job seekers who need an edge in a tight labor market like today’s.
What’s more, our research suggests it can make the whole process of finding and changing jobs much less painful, more effective and potentially more lucrative.
Make me a match
Over the last three years, we’ve intensely studied the role of AI in recruiting. This research shows that job candidates are positively inclined to use AI in the recruiting process and find it more convenient than traditional analog approaches.
Although companies have been usingAI in hiring for a few years, job applicants have only recently begun to discover the power of artificial intelligence to help them in their search.
In the old days, if you wanted to see what jobs were out there, you had to go on a job board like Monster.com, type in some keywords, and then get back hundreds or even thousands of open positions, depending on the keywords you used. Sorting through them all was a pain.
Today, with AI and companies like Eightfold, Skillroads and Fortay, it is less about job search and more about matchmaking. You answer a few questions about your capabilities and preferences and provide a link to your LinkedIn or other profiles. AI systems that have already logged not just open jobs but also analyzed the companies behind the openings – based on things like reputation, culture and performance – then produce match reports showing the best fits for you in terms of job and company.
Typically, there is an overall match score expressed as a percentage from 0% to 100% for each job. In many cases the report will even tell you which skills or capabilities you lack – or have not included – and how much their inclusion would increase your match score. The intent is to help you spend your time on opportunities that are more likely to result in your getting hired and being happy with the job and company after the hire.
Crafting a winning CV
Usually, when you look for a job, you apply to lots of openings and companies at the same time. That means two choices: save time by sending each one a mostly generic resume, with minor tweaks for each, or take the time and effort to adjust and tailor your resume to better fit specific jobs.
Today, AI tools can help customize your resume and cover letter for you. They can tell you what capabilities you might want to add to your resume, show how such additions would influence your chances of being hired and even rewrite your resume to better fit a specific job or company. They can also analyze you, the job and the company and craft a customized cover letter.
While researchers have not yet systemically examined the quality of human- versus AI-crafted cover letters, the AI-generated samples we’ve reviewed are difficult to distinguish from the ones we’ve seen MBA graduates write for themselves over the last 30 years as professors. Granted, for lots of lower-level jobs, cover letters are relics of the past. But for higher-level jobs, they are still used as an important screening mechanism.
Show me the money
Negotiations over compensation are another thorny issue in the job search.
Traditionally, applicants have been at a distinct informational disadvantage, making it harder to negotiate for the salary they may deserve based on what others earn for similar work. Now AI-enabled reports from PayScale.com, Salary.com, LinkedIn Salary and others provide salary and total compensation reports tailored to job title, education, experience, location and other factors. The data comes from company reported numbers, government statistics and self-reported compensation.
For self-reported data, the best sites conduct statistical tests to ensure the validity and accuracy of the data. This is only possible with large databases and serious number crunching abilities. PayScale.com, for example, has over 54 million respondents in its database and surveys more than 150,000 people per month to keep its reports up-to-date and its database growing.
Although no academics have yet tested if these reports result in better compensation packages than in the old days, research has long established that negotiating in general gets candidates better compensation offers, and that more information in that process is better than less.
[Deep knowledge, daily. Sign up for The Conversation’s newsletter.]
Growing use of AI in hiring
Use of these tools is growing, especially among young people.
A survey we conducted in 2018 found that half of employed workers aged 18 to 36 said that they were likely or highly likely to use AI tools in the job search and application process. And 64% of these respondents felt that AI-enabled tools were more convenient.
Most of the research on the use of AI in the hiring process – including our own – has focused on recruitment, however, and the use of the technology is expected to double over the next two years. We’ve found it to be effective for companies, so it seems logical that it can be very useful for job candidates as well. In fact, at least US$2 billion in investments are fueling human resources startups aimed at using AI to help job candidates, according to our analysis of Crunchbase business data.
While more research is needed to determine exactly how effective these AI-enabled tools actually are, Americans who lost their jobs due to the coronavirus could use all the help they can get.
This article is republished from The Conversation under a Creative Commons license. Read the original article here: https://theconversation.com/lost-your-job-due-to-coronavirus-artificial-intelligence-could-be-your-best-friend-in-finding-a-new-one-131536.
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| Lost your job due to coronavirus? Artificial intelligence could be your best friend in finding a new one | Lost job coronavirus? Artificial intelligence best friend finding new The Citizen Home Us Advertise Public Notices Newsstand Locations Todays Paper Privacy Notice Terms Use Torrington school board, administrators discuss backtoschool Torrington, Winsted residents cope outages, cleanup Torrington mayor: Explanatory text school vote Torrington officials: Power loss extended following News Torrington Winsted Litchfield County Connecticut Education NationWorld Science Technology Opinion Weather Torrington school board, administrators discuss backtoschool Torrington, Winsted residents cope outages, cleanup Torrington mayor: Explanatory text school vote Torrington officials: Power loss extended following Sports High Schools MLB NFL NBA NHL UConn Jeff Jacobs: Seymours Kelo tough, demanding coach, Wait state natives Downs, Vazquez suit Tom Brady delivers commencement speech CT high school Torrington Athletics Hall Famer Traub carried familys Business Top Workplaces Top Workplaces Business briefs, Aug. 2, 2020 CT beer company release beers, plans open new taproom Business briefs, July 26, 2020 Business briefs, July 19, 2020 Obituaries Entertainment Arts Movies Music Television Events Comics Pianist FeiFei performs Aug. 9 Music Mountain Sharon Historical Societys exhibit, programs focus Hear Venus Adonis reading HillStead August Weekend Norfolk goes virtual 2020 Lifestyle Seniors You know youre Torrington if... You know youre Torrington if... CT Daylily Society hold meeting Jan. 25 Community health center hold diabetes workshop series Jobs Classifieds Cars Digital Edition MenuSections Lost job coronavirus? Artificial intelligence best friend finding new Stewart Black, INSEAD Published 9:03am EDT, Friday, August 7, 2020 The Conversation independent nonprofit source news, analysis commentary academic experts. Stewart Black, INSEAD Patrick van Esch, Auckland University Technology THE CONVERSATION Millions Americans unemployed looking work. Hiring continues, theres far demand jobs supply. As scholars human resources management, believe artificial intelligence boon job seekers need edge tight labor market like todays. Whats more, research suggests process finding changing jobs painful, effective potentially lucrative. Make match Over years, weve intensely studied role AI recruiting. This research shows job candidates positively inclined use AI recruiting process convenient traditional analog approaches. Although companies usingAI hiring years, job applicants recently begun discover power artificial intelligence help search. In old days, wanted jobs there, job board like , type keywords, hundreds thousands open positions, depending keywords used. Sorting pain. Today, AI companies like Eightfold, Skillroads Fortay, job search matchmaking. You answer questions capabilities preferences provide link LinkedIn profiles. AI systems logged open jobs analyzed companies openings based things like reputation, culture performance produce match reports showing best fits terms job company. Typically, overall match score expressed percentage 0 100 job. In cases report tell skills capabilities lack included inclusion increase match score. The intent help spend time opportunities likely result getting hired happy job company hire. Crafting winning CV Usually, look job, apply lots openings companies time. That means choices: save time sending generic resume, minor tweaks each, time effort adjust tailor resume better fit specific jobs. Today, AI tools help customize resume cover letter you. They tell capabilities want add resume, additions influence chances hired rewrite resume better fit specific job company. They analyze you, job company craft customized cover letter. While researchers systemically examined quality human versus AIcrafted cover letters, AIgenerated samples weve reviewed difficult distinguish ones weve seen MBA graduates write 30 years professors. Granted, lots lowerlevel jobs, cover letters relics past. But higherlevel jobs, important screening mechanism. Show money Negotiations compensation thorny issue job search. Traditionally, applicants distinct informational disadvantage, making harder negotiate salary deserve based earn similar work. Now AIenabled reports , , LinkedIn Salary provide salary total compensation reports tailored job title, education, experience, location factors. The data comes company reported numbers, government statistics selfreported compensation. For selfreported data, best sites conduct statistical tests ensure validity accuracy data. This possible large databases number crunching abilities. , example, 54 million respondents database surveys 150,000 people month reports uptodate database growing. Although academics tested reports result better compensation packages old days, research long established negotiating general gets candidates better compensation offers, information process better less. [Deep knowledge, daily. Sign The Conversations newsletter.] Growing use AI hiring Use tools growing, especially young people. A survey conducted 2018 half employed workers aged 18 36 said likely highly likely use AI tools job search application process. And 64 respondents felt AIenabled tools convenient. Most research use AI hiring process including focused recruitment, however, use technology expected double years. Weve effective companies, logical useful job candidates well. In fact, US2 billion investments fueling human resources startups aimed AI help job candidates, according analysis Crunchbase business data. While research needed determine exactly effective AIenabled tools actually are, Americans lost jobs coronavirus use help get. This article republished The Conversation Creative Commons license. Read original article here: LISTEN: Exit 43 Podcast Hear latest episode new podcast View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Customer Service Us Connect Facebook Twitter RSS Hearst Newspapers Hearst Media Services Connecticut, LLC | 2,020 | [
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https://www.businesschief.com/technology-and-ai/over-half-canadian-firms-witnessed-cybersecurity-incidents-2016 | 2020-08-03T00:00:00 | en | Over half of Canadian firms witnessed cybersecurity incidents in 2016 | Technology & AI | Business Chief North America | Over half of Canadian firms witnessed cybersecurity incidents in 2016 | Technology & AI | Business Chief North America | Over half of Canadian firms witnessed cybersecurity incidents in 2016 | Over half Canadian firms witnessed cybersecurity incidents 2016 Technology AI Business Chief North America | 2,020 | [
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https://www.fourstateshomepage.com/news/international/google-ceo-calls-for-regulation-of-artificial-intelligence/ | 2020-01-21T00:00:00 | en | Google CEO calls for regulation of artificial intelligence – KSNF/KODE – FourStatesHomepage.com |
Google CEO calls for regulation of artificial intelligence – KSNF/KODE – FourStatesHomepage.com
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Google CEO calls for regulation of artificial intelligence
International
by: KELVIN CHAN, Associated Press
Posted: Jan 20, 2020 / 05:54 AM CST
/ Updated: Jan 20, 2020 / 07:44 AM CST
FILE – In this Nov. 29, 2019, file photo, a metal head made of motor parts symbolizes artificial intelligence, or AI, at the Essen Motor Show for tuning and motorsports in Essen, Germany. The Trump administration is proposing new rules guiding how the U.S. government regulates the use of artificial intelligence in medicine, transportation and other industries. The White House unveiled the proposals Tuesday, Jan. 7, and said they’re meant to promote private sector applications of AI that are safe and fair. (AP Photo/Martin Meissner, File)
LONDON (AP) — Google’s chief executive called Monday for a balanced approach to regulating artificial intelligence, 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 artificial intelligence 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’s 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 the 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 artificial intelligence, 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 was also due on Monday 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’s then scheduled to head to the World Economic Forum in Davos, Switzerland, this week.
___
Follow Kelvin Chan at Twitter.com/chanman
___
For all of AP’s tech coverage, visit https://apnews.com/apf-technology
Copyright 2020 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.
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Paris couture climbs Mount Olympus, plumbs marine depths
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| Google CEO calls for regulation of artificial intelligence | Google CEO calls regulation artificial intelligence KSNFKODE Skip content KSNFKODE Joplin 24 Sponsored By Toggle Menu Open Navigation Close Navigation Primary Menu News Local News Joplin News First Local News Today GMFS Living Well Newsfeed Now National News World News Golden Lion Award Shot Dark Suicide Crisis Four States No Text Zone Buddy Check Freeman Medical Focus Business News Entertainment News WashingtonDC Political News Election Results Weather Local Weather Forecast Regional Forecast Interactive Radar Map Center Weather Alerts Sports Home Team Heroes High School Sports Connection Beyond Sideline Local Sports National Sports Kansas City Chiefs SEC Football The Big Game NFL MLB Golf Dont Miss Japan 2020 Hidden History Hispanic Heritage Month Veterans Voices The Mel Robbins Show Marketplace Super Santa Savings Ask Professionals Business Showcase Dining Deals 50 Off Merchant Deals 50 Off HOT Branson Deals 50 Off Par Fore Pennies 50 Off Community Brave Cold Pledge Allegiance Red, White Blue Hero Salute Seasonal Safety Tips Community Calendar All In A Days Drive Four State Success Stories Contests Remarkable Women Apple Todays Eye Ultimate Football Party Sweepstakes Pigskin Picks Professional Football Meet The KSN News Team Meet The KODE News Team SignUp SMS Alerts Work Us Advertise With Us TV Schedule Us Us Closed Captioning Google CEO calls regulation artificial intelligence International by: KELVIN CHAN, Associated Press Posted: Jan 20, 2020 05:54 AM CST Updated: Jan 20, 2020 07:44 AM CST FILE In Nov. 29, 2019, file photo, metal head motor parts symbolizes artificial intelligence, AI, Essen Motor Show tuning motorsports Essen, Germany. The Trump administration proposing new rules guiding U.S. government regulates use artificial intelligence medicine, transportation industries. The White House unveiled proposals Tuesday, Jan. 7, said theyre meant promote private sector applications AI safe fair. AP PhotoMartin Meissner, File LONDON AP Googles chief executive called Monday balanced approach regulating artificial intelligence, telling European audience technology brings benefits negative consequences. Sundar Pichais comments come lawmakers governments seriously consider putting limits artificial intelligence 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. Shes 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 artificial intelligence, 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 Monday meet Frans Timmermans, EU commissioner overseeing European Green Deal, blocs plan fight climate change making continent carbon neutral 2050, including technology. Hes scheduled head World Economic Forum Davos, Switzerland, week. ___ Follow Kelvin Chan chanman ___ For APs tech coverage, visit 2020 The Associated Press. . This material published, broadcast, rewritten redistributed. Share story More International Stories Paris couture climbs Mount Olympus, plumbs marine depths THOMAS ADAMSON, Associated Press Jan 20, 2020 PARIS AP Female empowerment, controversies race, designs plunged depths seas climbed Mount Olympus themes grace Paris Couture Week dramafilled day. Here highlights Mondays springsummer 2020 couture shows. Read Full Article Suicide bombing western Chad kills 9 DANY PADIRE, Associated Press Jan 20, 2020 NDJAMENA, Chad AP A suicide bombing killed people western Chad, local official resident said Monday. A woman set explosives crowd KaigaKindjiria, town attacked Boko Haram insurgentsin past, according Dimoya Souapelbe, prefect local department Fouli Lake Chad province. He toll Sunday nights attack 10 dead wounded. Read Full Article fricas Richest Woman Davos report JAMEY KEATEN, Associated Press Jan 20, 2020 DAVOS, Switzerland AP The rapidly changing circumstances Isabel dos Santos, widely known Africas Richest Woman, evident absence World Economic Forum Switzerland. Instead hobnobbing world leaders Davos, confronted calls investigated criminal corruption hotly defending Twitter. Read Full Article More Stories Oronogo infant rare disease dire need transplant News 11 mins ago Veterans organization speaks create Make America Great Again license plates News 55 mins ago Founder Fort Smith Pay It Forward accused embezzlement News 2 hours ago Rain snow expected Four States News 2 hours ago Read stories Trending Stories Oronogo infant rare disease dire need transplant Joplin Police standoff man west 7th lasts nearly hours Monday Martin Luther King Jr Day; What what? 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https://www.meritalk.com/articles/act-iac-releases-ai-playbook-for-federal-agencies/ | 2020-01-22T00:00:00 | en | ACT-IAC Releases AI Playbook for Federal Agencies – MeriTalk |
ACT-IAC Releases AI Playbook for Federal Agencies – MeriTalk
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ACT-IAC Releases AI Playbook for Federal Agencies
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Emerging TechArtificial Intelligence
Jan 22, 2020 | 4:36 pm
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The American Council for Technology-Industry Advisory Council (ACT-IAC) has proposed an Artificial Intelligence (AI) Playbook for the Federal government on the heels of the AI/Machine Learning Primer from 2019.
The playbook will help agencies reduce waste of time, money, and resources, cut down on errors, and enable collaboration across agency divisions and other Federal agencies.
“I think – from a CIO standpoint – it gives you a roadmap to be able to implement a much smaller prototype to see success or a much bigger project to see success,” one of the playbook’s authors and Abeyon CEO Mallesh Murugesan said.
The playbook contains a series of phases that contain “key activities organized in functional areas” that go beyond technical aspects of AI to include management, people, process, and acquisition areas. Each initial phase will feed into the subsequent phase and provide a roadmap to implement AI at any scale. The five phases included in the AI Playbook include:
Problem Assessment: Developing a vision and business objectives to see if AI solutions can address specific use cases while delivering results that optimize services and operational delivery.
Organizational Readiness: “Engage AI subject matter experts and consider nuances that accompany an AI solution” through creating a project management office and establishing an AI-tailored business, functional and technical requirements, and implementation plans.
Solution Selection: Investigate the business consideration, AI requirements, deployment models, and procurement options that will establish an optimal provider selection.
AI Implementation: Customize and configure AI solution to meet operational objectives.
AI Integration: Integrate AI solution into the agency infrastructure.
Vice President of Prometheus Computing Frederic de Vaulx said that the playbook developers asked themselves several questions that they wanted the playbook to answer and to help an agency determine whether to move onto the next phase after it has completed a phase.
“When we develop the playbook, we really tried to make sure that it’s not just about the adoption of the technology and trying to figure out what the technology is, but also how does it impact or is influenced by the rest of the organization?” de Vaulx offered. “How are we going to integrate it within the rest of the organization? How is the workforce effected or will affect the technology?”
The AI playbook isn’t just meant to encourage collaboration across Federal agencies, but within agencies as well to pursue the best process for integrating AI into the organization.
“The CIOs or the project managers are one part of the groups that need to be a part of this journey in order for you to be successful,” de Vaulx said.
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Tags: ACT-IAC, AI Playbook, Frederic de Vaulx, Mallesh Murugesan
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| ACT-IAC Releases AI Playbook for Federal Agencies | ACTIAC Releases AI Playbook Federal Agencies MeriTalk LinkedIn Twitter for: Home News Insight Exchanges Big Data Cloud Computing Cyber Security Data Center Events Research Awards Advertise About Affiliates Terms Use ACTIAC Releases AI Playbook Federal Agencies News Emerging TechArtificial Intelligence Jan 22, 2020 4:36 pm Share This Story The American Council TechnologyIndustry Advisory Council ACTIAC proposed Artificial Intelligence AI Playbook Federal government heels AIMachine Learning Primer 2019. The playbook help agencies reduce waste time, money, resources, cut errors, enable collaboration agency divisions Federal agencies. I think CIO standpoint gives roadmap able implement smaller prototype success bigger project success, playbooks authors Abeyon CEO Mallesh Murugesan said. The playbook contains series phases contain key activities organized functional areas technical aspects AI include management, people, process, acquisition areas. Each initial phase feed subsequent phase provide roadmap implement AI scale. The phases included AI Playbook include: Problem Assessment: Developing vision business objectives AI solutions address specific use cases delivering results optimize services operational delivery. Organizational Readiness: Engage AI subject matter experts consider nuances accompany AI solution creating project management office establishing AItailored business, functional technical requirements, implementation plans. Solution Selection: Investigate business consideration, AI requirements, deployment models, procurement options establish optimal provider selection. AI Implementation: Customize configure AI solution meet operational objectives. AI Integration: Integrate AI solution agency infrastructure. Vice President Prometheus Computing Frederic Vaulx said playbook developers asked questions wanted playbook answer help agency determine phase completed phase. When develop playbook, tried sure adoption technology trying figure technology is, impact influenced rest organization? Vaulx offered. How going integrate rest organization? How workforce effected affect technology? The AI playbook isnt meant encourage collaboration Federal agencies, agencies pursue best process integrating AI organization. The CIOs project managers groups need journey order successful, Vaulx said. Share This Story Tags: ACTIAC, AI Playbook, Frederic Vaulx, Mallesh Murugesan Categories CIO Briefing Room 716 CDM 66 Critical Infrastructure 24 Federal CIO Council 68 FedRAMP 112 FISMA 67 FITARA 157 MGT Act 37 Privacy Civil Liberties 85 Special Report: Data Centers 4 Supply Chain 34 TBM 8 TMF 27 Zero Trust 2 Civilian Agencies 2,200 Agriculture 45 CMS 4 Commerce 130 Education 13 Energy 95 EPA 16 FCC 165 FEC 1 FTC 13 General Services Administration 261 Government Accountability Office 124 Health Human Services 101 Homeland Security 546 Housing Urban Development 8 Interior 24 IRS 33 Justice 130 Labor 26 NASA 13 National Science Foundation 25 NIST 141 OPM 110 Small Business Administration 23 Social Security Administration 1 State 76 Transportation 72 Treasury 35 Veterans Affairs 160 Congress 949 Budget 114 Hearings Oversight 333 Legislation 382 Defense Intelligence 895 Air Force 69 Army 83 CIA 13 DARPA 54 DIA 3 DISA 34 DIU 10 DOD CIO 232 FBI 49 GEOINT 8 IARPA 12 Marine Corps 13 Navy 56 NGA 6 NSA 81 ODNI 36 U.S. Cyber Command 21 Education 87 Emerging Tech 3,047 Artificial Intelligence 303 Big Data 219 Blockchain 31 Broadband 10 Cloud Computing 462 Customer Experience 71 Cybersecurity 1,527 Data Center 151 Data Management 197 Digital Service 40 Health IT 132 Hybrid Cloud Infrastructre 2 Industry 131 Innovation 194 Internet Things 119 Mobility 54 Open Government 68 Quantum 22 Guest Commentary 2 Industry News 426 Judiciary 3 Supreme Court 1 White House 577 OMB 195 OSTP 51 U.S. Digital Service 41 Workforce Issues 235 STEM 36 Women Tech 41 Recent GSA Publishes Updated Version Federal Website Standards ACTIAC Releases AI Playbook Federal Agencies NASCIO Calls Harmonized Cyber Regulations 2020 Federal Advocacy Priorities Mary Davie Heading NASA After 30 Years GSA Treasury Shares HumanCentered Design Enables Tech Transformation Connect MeriTalk Twitter LinkedIn P.O. Box 1356, Alexandria, Virginia 22313 703 6349525 info Home News Insight Exchanges Events Research Awards About Affiliates Advertise Terms Use Twitter Join tomorrow 123 Smart2020 event. Hear keynote remarks iwebstatus1 About 39 minutes ago . agencies begin paying Technology Modernization Funds. iwebstatus1 About 4 hours ago Are FedITs big challenges insurmountable? No, takes cuttingedge tech, grit, collaboration iwebstatus1 About 6 hours ago . plans invest 625 million establish National Quantum Information Science Research Centers. Th iwebstatus1 About 10 hours ago Joseph Simons, Chairman, deemed development new Fed privacy regulator mistake. Read iwebstatus1 Yesterday First NameLast NameEmail URLNameThis field validation purposes left unchanged. This iframe contains logic required handle Ajax powered Gravity Forms. 152 queries. 0.874 seconds. 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https://murphyshockeylaw.net/uncategorized/113493/global-artificial-intelligence-hardware-in-security-market-expected-to-reach-highest-cagr-in-forecast-period-nvidia-intel-xilinx-samsung-electronics-micron/ | 2020-12-01T00:00:00 | en | Global Artificial Intelligence Hardware in Security Market Expected to reach highest CAGR in forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, – Murphy's Hockey Law |
Global Artificial Intelligence Hardware in Security Market Expected to reach highest CAGR in forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, – Murphy's Hockey Law
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HomeAll NewsGlobal Artificial Intelligence Hardware in Security Market Expected to reach highest CAGR in forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron,
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Global Artificial Intelligence Hardware in Security Market Expected to reach highest CAGR in forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron,
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Introduction and Scope: Global Artificial Intelligence Hardware in Security Market
A recent report presentation on Global Artificial Intelligence Hardware in Security Market rendering illustrative references on market growth prognosis has been recently pinned in the vast data archive of global Artificial Intelligence Hardware in Security market. The report includes decisive details on current and past market scenarios, understanding which is innately required to influence growth proficient business decisions. The report is a 360 degree reference guide, highlighting core information on holistic competitive landscape, besides rendering high voltage information on market size and dimensions with references of value- and volume based market details, indispensable for infallible decision making in global Artificial Intelligence Hardware in Security market.
The vendor profiling section of the report delivers multi-dimensional data on core market participants and significant players with crucial references of their product portfolios, associated development initiatives, application areas as well as valuechain structure that allow readers in identifying potent growth factors that amplify competitive advantage. The report also lends a thought provoking information trail on DROT elements, comprising both manacles and stimulants that retard and stimulate growth respectively in global Artificial Intelligence Hardware in Security market.
Vendor Profile:
Nvidia
Intel
Xilinx
Samsung Electronics
Micron
IBM
Cylance
Threatmetrix
Securonix
Amazon
Acalvio
Skycure
The report houses exclusive market relevant information that are depicted in tabular, geographical and chart formats to demonstrate a clear demonstration of vital Artificial Intelligence Hardware in Security market relevant information to deliver readers an easily comprehensible conceptual guideline, favoring growth proficient business insights. The report is aimed at improving the decision-making capabilities of readers with due emphasis on growth planning, resource use that boost growth trajectory. Additional insights on government initiatives, regulatory framework, growth policies and resource utilization have all been highlighted for healthy growth journey.
Find full report and TOC here: @ https://www.orbismarketreports.com/global-artificial-intelligence-hardware-in-security-market-analysis-by-growth-and-forecast-2025?utm_source=PujaM
The market is roughly segregated into:
• Segmentation by Type
Cloud Deployment
on Premise Deployment
• Segmentation by Application
Enterprise
BFSI
Government & Defense
Retail
Healthcare
Manufacturing
Automotive & Transportation
Infrastructure
Regional Outlook: Global Artificial Intelligence Hardware in Security Market
The report in its attempt to instigate high growth proficient business decisions has isolated Europe, APAC, MEA, North and Latin America as prominent growth hotspots. These aforementioned areas have been assessed to gauge into exclusive details concerning technological developments globally and their subsequent implications in growth prognosis. This section of the report also isolates specific region witnessing maximum vendor activities and developments across production and consumption patterns that instill healthy investment returns.
COVID-19 Impact Analysis
• The overall status of the Artificial Intelligence Hardware in Security market with pandemic outrage has been mindfully assessed and accurate predictions have also been made to aid futuristic growth projections
• Changing parameters across supply-chain dynamics have been addressed in the report.
• Both long term and short-term market growth implications accrued by affected business developments with pandemic looming large.
Primary Highlights of the Report:
• Exclusive assessment and outlook of core market developments and highlights such as market share and size with inputs on growth forecast through the forecast span
• The report also includes decisive details on Artificial Intelligence Hardware in Security market segmentation on the basis of which type and application based segmentation have been primarily focused, besides exclusive references of region-specific growth and vendor activities
• The report is designed to include crucial understanding on past, present and futuristic growth prospects, understanding which remains indispensable for maximum ROI.
• The report also houses fringes of information on highest research practices and internationally acknowledged guidelines such as PESTEL and SWOT analysis along with Porter’s Five Forces assessment that remain vital parameters in growth assessment and subsequent business discretion.
Relevant details on prevalent market competition and rising intensity with inclusion of new market players also find ample mention in the report to evoke wise comprehension and appropriate growth related business strategies, favoring strong competitive edge. Details on technological innovation, and inputs developments, commercial agreements have all been touched upon in this illustrative research report on the Artificial Intelligence Hardware in Security market.
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbismarketreports.com/enquiry-before-buying/134763?utm_source=PujaM
Subsequently in the report, readers are also well enlightened about the current scenario in the competitive landscape highlighting key vendors and their steady growth journey through the forecast span. Details pertaining to company performance, portfolio developments as well as profit returns have been discussed alongside SWOT analysis.
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| Global Artificial Intelligence Hardware in Security Market Expected to reach highest CAGR in forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, | Global Artificial Intelligence Hardware Security Market Expected reach highest CAGR forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, Murphys Hockey Law Skip content December 1, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll NewsGlobal Artificial Intelligence Hardware Security Market Expected reach highest CAGR forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, All News Global Artificial Intelligence Hardware Security Market Expected reach highest CAGR forecast period :Nvidia, Intel, Xilinx, Samsung Electronics, Micron, 4 min read 2 hours ago anita_adroit Introduction Scope: Global Artificial Intelligence Hardware Security Market A recent report presentation Global Artificial Intelligence Hardware Security Market rendering illustrative references market growth prognosis recently pinned vast data archive global Artificial Intelligence Hardware Security market. The report includes decisive details current past market scenarios, understanding innately required influence growth proficient business decisions. The report 360 degree reference guide, highlighting core information holistic competitive landscape, rendering high voltage information market size dimensions references value volume based market details, indispensable infallible decision making global Artificial Intelligence Hardware Security market. The vendor profiling section report delivers multidimensional data core market participants significant players crucial references product portfolios, associated development initiatives, application areas valuechain structure allow readers identifying potent growth factors amplify competitive advantage. The report lends thought provoking information trail DROT elements, comprising manacles stimulants retard stimulate growth respectively global Artificial Intelligence Hardware Security market. Vendor Profile: Nvidia Intel Xilinx Samsung Electronics Micron IBM Cylance Threatmetrix Securonix Amazon Acalvio Skycure The report houses exclusive market relevant information depicted tabular, geographical chart formats demonstrate clear demonstration vital Artificial Intelligence Hardware Security market relevant information deliver readers easily comprehensible conceptual guideline, favoring growth proficient business insights. The report aimed improving decisionmaking capabilities readers emphasis growth planning, resource use boost growth trajectory. Additional insights government initiatives, regulatory framework, growth policies resource utilization highlighted healthy growth journey. Find report TOC here: @ The market roughly segregated into: Segmentation Type Cloud Deployment Premise Deployment Segmentation Application Enterprise BFSI Government Defense Retail Healthcare Manufacturing Automotive Transportation Infrastructure Regional Outlook: Global Artificial Intelligence Hardware Security Market The report attempt instigate high growth proficient business decisions isolated Europe, APAC, MEA, North Latin America prominent growth hotspots. These aforementioned areas assessed gauge exclusive details concerning technological developments globally subsequent implications growth prognosis. This section report isolates specific region witnessing maximum vendor activities developments production consumption patterns instill healthy investment returns. COVID19 Impact Analysis The overall status Artificial Intelligence Hardware Security market pandemic outrage mindfully assessed accurate predictions aid futuristic growth projections Changing parameters supplychain dynamics addressed report. Both long term shortterm market growth implications accrued affected business developments pandemic looming large. Primary Highlights Report: Exclusive assessment outlook core market developments highlights market share size inputs growth forecast forecast span The report includes decisive details Artificial Intelligence Hardware Security market segmentation basis type application based segmentation primarily focused, exclusive references regionspecific growth vendor activities The report designed include crucial understanding past, present futuristic growth prospects, understanding remains indispensable maximum ROI. The report houses fringes information highest research practices internationally acknowledged guidelines PESTEL SWOT analysis Porters Five Forces assessment remain vital parameters growth assessment subsequent business discretion. Relevant details prevalent market competition rising intensity inclusion new market players ample mention report evoke wise comprehension appropriate growth related business strategies, favoring strong competitive edge. Details technological innovation, inputs developments, commercial agreements touched illustrative research report Artificial Intelligence Hardware Security market. Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] Subsequently report, readers enlightened current scenario competitive landscape highlighting key vendors steady growth journey forecast span. Details pertaining company performance, portfolio developments profit returns discussed alongside SWOT analysis. Looking provoking fruitful enterprise relationships : 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 Continue Reading Previous IoT Connectivity Management Software Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading PlayersCisco,Sierra Wireless,Hologram,Asavie,Aptilo Networks,BoschNext Medical Imaging Equipment Rental Market 2020 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast 2026 Block Imaging, Rent It Today, KWIPPED, ., Sound Imaging More Stories 5 min read All News Global Waste Heat Boiler Market Report 2020: By Product, Application, Manufacturer, Sales : Top company General electric, Nootereriksen, Robert Bosch GMBH, Thermax 20 seconds ago theinsightpartners 6 min read All News Energy News Space Squash Rackets Market 2020 analysis Key Players, Applications, Trends Forecasts 2028HEAD,Dunlop Sport,Ektelon,Tecnifibre,Harrow Sports,Black Knight,Wilson Sporting Goodst 28 seconds ago sarah 4 min read All News Latest Report Astable Multivibrator Market Growth, Opportunities, Risk, Challenges, Gross Margin, Covid19 Outbreaks 31 seconds ago theinsightpartners for: Recent Posts Global Breath Biopsy Market 2020 Industry Size, Share, Revenue, Business Growth, Demand And Applications Market Research Report To 2026 Global Waste Heat Boiler Market Report 2020: By Product, Application, Manufacturer, Sales : Top company General electric, Nootereriksen, Robert Bosch GMBH, Thermax Squash Rackets Market 2020 analysis Key Players, Applications, Trends Forecasts 2028HEAD,Dunlop Sport,Ektelon,Tecnifibre,Harrow Sports,Black Knight,Wilson Sporting Goodst Latest Report Astable Multivibrator Market Growth, Opportunities, Risk, Challenges, Gross Margin, Covid19 Outbreaks Impact Of Covid19 On Gram Staining Market Revenue Strategy 2020 Roche, Agilent, Thermo Fisher Scientific, BD Biosciences, BioMrieux SA, Millipore Sigma Merck, ELITechGroup, Hardy Diagnostics, Lorne Laboratories Limited, Axon Lab AG, bioWORLD, BaSO Biotech, Gram Stainin You missed 3 min read News Global Breath Biopsy Market 2020 Industry Size, Share, Revenue, Business Growth, Demand And Applications Market Research Report To 2026 4 seconds ago vasudeo 5 min read All News Global Waste Heat Boiler Market Report 2020: By Product, Application, Manufacturer, Sales : Top company General electric, Nootereriksen, Robert Bosch GMBH, Thermax 20 seconds ago theinsightpartners 6 min read All News Energy News Space Squash Rackets Market 2020 analysis Key Players, Applications, Trends Forecasts 2028HEAD,Dunlop Sport,Ektelon,Tecnifibre,Harrow Sports,Black Knight,Wilson Sporting Goodst 28 seconds ago sarah 4 min read All News Latest Report Astable Multivibrator Market Growth, Opportunities, Risk, Challenges, Gross Margin, Covid19 Outbreaks 31 seconds ago theinsightpartners All News Energy News Space . 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http://www.camcorders.consumerelectronicsnet.com/koch-industries-selects-c3-ai-as-enterprise-ai-platform/ | 2020-06-04T00:00:00 | en | Koch Industries Selects C3.ai as Enterprise AI Platform | | Consumer Electronics Net |
Koch Industries Selects C3.ai as Enterprise AI Platform | | Consumer Electronics Net
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Koch Industries Selects C3.ai as Enterprise AI Platform
4 hours ago
C3 AI Suite to Power Digital Transformation at Scale Across Koch
REDWOOD CITY, Calif.–(BUSINESS WIRE)–C3.ai, a leading enterprise AI software provider for accelerating digital transformation, today announced that Koch Business Solutions, LP (“Koch”), an affiliate of Koch Industries, Inc., has selected C3.ai, an artificial intelligence (AI) platform to enable and accelerate digital transformation at enterprise scale.
Koch and its affiliates expect to realize substantial economic value by rapidly developing, deploying, and scaling AI and machine learning applications to improve operating performance across a diverse group of Koch companies including Georgia-Pacific, Flint Hills Resources, and Molex, which manufacture products ranging from refined oil, chemicals, and biofuels to polymers, automotive components, and forest products.
Koch will deploy the C3 AI™ Suite to support a broad set of AI applications starting with C3.ai™ Predictive Maintenance and C3.ai™ Production Schedule Optimization to maximize asset utilization, optimize production, and better meet customer needs. Koch aims to expand to other machine learning-based use cases for improved internal operations and to utilize the C3 AI™ Platform to build and deliver AI applications that can be provided to Koch customers.
Koch selected C3.ai after a rigorous evaluation process and two successful production pilots that demonstrated the speed, flexibility, and economic benefit of the C3 AI Suite, its model-driven AI architecture, and its SaaS AI applications.
“We recognized the need to leverage AI in our ongoing transformations and while we’ve made progress by taking the ‘build-it-yourself’ approach, we also realized we needed to go faster and scale across our diverse enterprise‚” said Jim Hannan, EVP and CEO of Enterprises for Koch Industries, Inc. “The C3 AI Suite allows us to take advantage of our existing investments while accelerating our AI transformation so Koch companies can better serve their customers.”
“Koch Industries is one of the world’s most iconic companies and we couldn’t be more pleased to be part of this great company’s digital transformation‚” said Thomas M. Siebel‚ CEO of C3.ai. “Koch’s decision to prioritize operational efficiencies, to reimagine how it interacts with and serves customers, and to meet the challenges and opportunities of unprecedented change is a testament to its disciplined leadership.”
About C3.ai
C3.ai is a leading AI software provider for accelerating digital transformation. C3.ai delivers the C3 AI Suite for developing, deploying, and operating large-scale AI, predictive analytics, and IoT applications in addition to an increasingly broad portfolio of turn-key AI applications. The core of the C3.ai offering is a revolutionary, model-driven AI architecture that dramatically enhances data science and application development. Learn more at: www.c3.ai.
Contacts
C3.ai Contact:April Marks
Director of Public Relations
917-574-5512
[email protected]
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| Koch Industries Selects C3.ai as Enterprise AI Platform | Koch Industries Selects C3.ai Enterprise AI Platform Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsKoch Industries Selects C3.ai Enterprise AI Platform News Koch Industries Selects C3.ai Enterprise AI Platform 4 hours ago C3 AI Suite Power Digital Transformation Scale Across Koch REDWOOD CITY, Calif.BUSINESS WIREC3.ai, leading enterprise AI software provider accelerating digital transformation, today announced Koch Business Solutions, LP Koch, affiliate Koch Industries, ., selected C3.ai, artificial intelligence AI platform enable accelerate digital transformation enterprise scale. Koch affiliates expect realize substantial economic value rapidly developing, deploying, scaling AI machine learning applications improve operating performance diverse group Koch companies including GeorgiaPacific, Flint Hills Resources, Molex, manufacture products ranging refined oil, chemicals, biofuels polymers, automotive components, forest products. Koch deploy C3 AI Suite support broad set AI applications starting C3.ai Predictive Maintenance C3.ai Production Schedule Optimization maximize asset utilization, optimize production, better meet customer needs. Koch aims expand machine learningbased use cases improved internal operations utilize C3 AI Platform build deliver AI applications provided Koch customers. Koch selected C3.ai rigorous evaluation process successful production pilots demonstrated speed, flexibility, economic benefit C3 AI Suite, modeldriven AI architecture, SaaS AI applications. We recognized need leverage AI ongoing transformations weve progress taking buildityourself approach, realized needed faster scale diverse enterprise said Jim Hannan, EVP CEO Enterprises Koch Industries, . The C3 AI Suite allows advantage existing investments accelerating AI transformation Koch companies better serve customers. Koch Industries worlds iconic companies pleased great companys digital transformation said Thomas M. Siebel CEO C3.ai. Kochs decision prioritize operational efficiencies, reimagine interacts serves customers, meet challenges opportunities unprecedented change testament disciplined leadership. About C3.ai C3.ai leading AI software provider accelerating digital transformation. C3.ai delivers C3 AI Suite developing, deploying, operating largescale AI, predictive analytics, IoT applications addition increasingly broad portfolio turnkey AI applications. The core C3.ai offering revolutionary, modeldriven AI architecture dramatically enhances data science application development. Learn at: C3.ai :April Marks Director Public Relations 9175745512 pr Continue Reading Previous AlefEdge Wins Frost Sullivan 2020 Global Product Line Strategy Award EdgeOptimizing SoftwareNext ATT Mxico Selects MATRIXX Software Prepaid Platform Replacement for: CategoriesCategories Select Category 360 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles BluRay BLUE LIGHT Book Broadband Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Electric Vehicles Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing Military NBN News Phishing Privacy Productivity Raid Retail Review Robotics Security Smart Devices Smart Homes Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VRAR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday Use code CEN 15 Ewin gaming chairs Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos You missed News Intertrust Releases 2020 Security Report U.S. Financial Mobile Apps 33 mins ago News United States Geospatial Analytics Market 2019 2025 By Component, Deployment Mode, Type, Application, Enduser Industry, Competition, Forecast Opportunities 1 hour ago Consumer Electronics Summit Wireless Technologies Announces Pricing 5.8 Million ed Direct Offering Priced AtTheMarket 2 hours ago News Insight Recognized Intel 2020 U.S. Innovation Partner Year 2 hours ago News ATT Mxico Selects MATRIXX Software Prepaid Platform Replacement 4 hours ago Consumer Electronics Net . CoverNews AF themes. error: Content protected | 2,020 | [
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https://www.ddn.com/blog/ddn-ai-storage-gets-faster-simpler-gpudirect-storage/ | 2020-08-19T00:00:00 | en | DDN AI Storage Gets Faster and Simpler with GPUDirect Storage - DDN.com |
DDN AI Storage Gets Faster and Simpler with GPUDirect Storage - DDN.com
DDN AI Storage Gets Faster and Simpler with GPUDirect Storage - DDN.com
SOLUTIONSAcademic ResearchArtificial Intelligence and Deep LearningBig Data AnalyticsDDN FederalFinancial ServicesKx Kdb+Life SciencesManufacturingMediaMicroscopyNational LaboratoriesOil and GasVideo SurveillancePRODUCTSPRODUCT OVERVIEWBLOCK STORAGESFA18KXSFA14KXSFA7990XFLASH STORAGEIME Flash-Native CacheSFA200NVX and SFA400NVXFILE STORAGEEXAScalerAI STORAGEA3IOBJECT STORAGEWOS: Object StorageMONITORING and MANAGEMENTDDN DataFlowDDN InsightCloudCloud OverviewExplore DDN CloudWhy DDN Cloud?CUSTOMERSSUPPORTSUPPORTGlobal Services OverviewSupport PlansLicense ActivationSupport Portal RegistrationTechnical Support BulletinsEnd Of Life NoticesEDUCATIONDDN TrainingSERVICESProfessional ServicesPARTNERSPartnerlink LoginGlobal Solution PartnersPartner Ecosystem OverviewTechnology PartnersCOMPANYAbout UsLeadershipNews CenterBrand AssetsEventsAwards and AccoladesResource LibraryBlogCorporate Social ResponsibilityCareersOffice LocationsContact A Storage Specialist
DDN BLOG
DDN AI Storage Gets Faster and Simpler with GPUDirect Storage
DDN breaks its own record performance with DGX A100: 178 GB/s delivered directly to GPUs, 60x more than NFS.
How do organizations ensure that their environment is running ideally when the scales get large? Is your investment in GPU Infrastructure, data scientists, data sources and ingestion all optimized with the headroom to accelerate value from data? Simplicity and performance go hand in hand when it comes to scale. The complexity of managing data silos, multiple tiers of storage on different systems and storage appliances not designed for scale can be a significant risk factor for AI projects.
DDN is a proven supplier to achieve at-scale and in production, unlike enterprise protocols like NFS solutions which are designed for modest sized workloads, become exceedingly more difficult to manage and ultimately fail to scale. Even with accelerating technologies such as ROCE, NFS is a bottleneck to applications running on GPUs. In this post, we’ll discuss an advanced technology development that we’ve furthered in close collaboration with NVIDIA to ensure that DDN data platforms achieve the most from DGX A100 systems.
Optimized AI
Storage
Infrastructure
Maximizes Computing Performance
Solutions based on the DDN AI400X can supply up to 178 GB/s to a single NVIDIA DGX A100.
Scales Easily and Seamlessly
DDN AI400X based solutions maximize the investment in a single DGX A100 and proven at scale with up to 280 clients with NVIDIA SuperPOD with DGX A100.
Proven in Production
DDN has decades of experience in supplying the absolute best in storage for data-intensive organizations who are driving innovation and discovery.
Just as organizations need to bring more competitive value from their AI, Data Infrastructure should deliver the saturation-level performance to AI workflows with the minimum of infrastructure and manual data movement. DDN A3I Storage outperforms all others whilst minimizing configuration complexity and AI infrastructure.
With decades of experience delivering solutions to some of the world’s largest computing centers, one of DDN’s most recent deployments is NVIDIA’s Selene the 7th ranked system on the IO500 and largest SuperPOD with DGX A100 currently in operation. The Selene cluster is made up of 280 DGX A100 systems. These GPU-based systems, and all GPU computing platforms, represent a significant revolution in how enormous amounts of data are processed.
NVIDIA GPUs provide massively concurrent processing capabilities and the DDN shared parallel architecture is proven to ensure full saturation for all types of unstructured data workloads – large, small and mixed file type environments – at even the largest scale with GPUs. This makes DDN A3I Solutions the ideal data platform for enabling end-to-end AI workflows like deep learning and inference. In fact, DDN enables the largest autonomous driving programs in the world with data platforms that scale several hundred petabytes in capacity and deliver terabytes of second in performance.
But not ones to rest on our laurels, DDN and NVIDIA are constantly looking to improve the performance of AI workflows. One way we are working together to do this is with GPUDirect Storage (GDS), which is part of NVIDIA’s Magnum IO set of APIs.
GDS improves efficiency of data movement between storage and GPU with a faster, more direct data path. Data is transferred directly from a network interface card (NIC) on a host to a GPU without having to go through the system memory and CPU. This eliminates any bottleneck in the IO path from the system architecture, eliminates unnecessary data copies, reduces latency, and frees up CPU resources for other tasks, like image processing during ingest for deep learning applications.
The NVIDIA DGX A100 system includes eight single-ported Mellanox ConnectX6 Network Interfaces. To manage the traffic inside the DGX A100, there are four interconnected PCI switches, each with two GPUs and two NICs. The four PCI switches are interconnected through the two AMD CPUs. DDN’s fully-integrated GDS and shared parallel architecture manages the data path even better than other suppliers by guaranteeing data transfers pass directly through the nearest interface. So the combination of DDN A3I Storage with GDS ensures data goes through the shortest, most efficient path possible between application and storage.
Our lab testing connected four AI400X appliances, the same appliances and configurations we’ve been shipping for the past six months, to a DGX A100 system over an HDR 200 Infiniband network. We connected all eight single-ported NICS on the DGX A100 system, closest to the GPUs. We measured performance using all eight GPUs first through the standard IO path in the CPU, second with GDS enabled and through the optimized IO path.
There are three very exciting points to note in our results:
First, we deliver 178 GB/s read and 154 GB/s write performance directly to GPUs with GDS. That’s almost the full line rate capability of the eight HDR200 NICs! It’s 60X more than what enterprise file sharing protocols like NFS can provide. The infinitely scalable nature of the DDN shared parallel architecture makes it simple to achieve this level of performance with multiple systems engaged simultaneously – for example, with a POD or SuperPOD deployment.
Second, GDS enables us to deliver 50% more throughput to GPUs compared to the traditional path through the CPU. Our performance via the CPU path is very impressive– 108 GB/s read throughput to a single client. But because of DGX system limitations in the data path through the CPU, we need GDS to really achieve the most data saturation for GPUs with DGX A100.
Third, GDS is fully-integrated in our DDN AI400X appliance. The performance benchmark application running on the eight GPUs seamlessly and instantly took advantage of the GDS capability of our system. 178 GB/s performance delivered to a DGX A100 system out of the box. This does not involve additional licensing or cost.
It’s very exciting to see how our shared parallel architecture has evolved. A3I delivers data with high-throughput, low-latency and massive concurrency equally well to both a single system supercomputer like the DGX A100, and a large supercomputing cluster with many clients such as the NVIDIA SuperPOD. DDN technology is proven to deliver maximum flexibility and ability at any scale. By using our unique MultiRail algorithm, DDN A3I appliances automatically balance network traffic to make optimized high-performance networking a simple out-of-box feature.
Are you deploying AI and HPC at scale with NVIDIA GPUs and DGX A100 systems? If so, get in touch with us and let’s discuss how our data platforms with GDS can help you get the most performance from your applications running on GPUs.
Resources you Might Interested in
Get the AÂłI and DGX A100 Solutions Guide
Get the AÂłI and DGX A100 Performance Brief
Dr. James Coomer
Sr. Vice President of Products
Date:
Promo / Tech Innovation / Thought Leadership / August 4, 2020
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AI-data centers aren’t just a fad or buzz word. They are a reality and they are here to stay. I’m hard- pressed to find customers that AREN’T using AI and ML on their data in some way, shape, or form to advance their business…
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With all the possible impediments to a successful AI program, DDN ensures that managing data isn’t one of them. There are many requirements for AI storage, but the top 3 are scalability, performance, and good economics…
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Promo / Tech Innovation / Thought Leadership / June 30, 2020
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Although ISC High Performance 2020 Digital (ISC) was virtual this year, that did not lead to anything short of the usual announcements and showcases of groundbreaking technology advancements in artificial intelligence (AI), high performance computing (HPC), and big data…
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| DDN AI Storage Gets Faster and Simpler with GPUDirect Storage | DDN AI Storage Gets Faster Simpler GPUDirect Storage DDN AI Storage Gets Faster Simpler GPUDirect Storage SOLUTIONSAcademic ResearchArtificial Intelligence Deep LearningBig Data AnalyticsDDN FederalFinancial ServicesKx KdbLife SciencesManufacturingMediaMicroscopyNational LaboratoriesOil GasVideo SurveillancePRODUCTSPRODUCT OVERVIEWBLOCK STORAGESFA18KXSFA14KXSFA7990XFLASH STORAGEIME FlashNative CacheSFA200NVX SFA400NVXFILE STORAGEEXAScalerAI STORAGEA3IOBJECT STORAGEWOS: Object StorageMONITORING MANAGEMENTDDN DataFlowDDN InsightCloudCloud OverviewExplore DDN CloudWhy DDN Cloud?CUSTOMERSSUPPORTSUPPORTGlobal Services OverviewSupport PlansLicense ActivationSupport Portal RegistrationTechnical Support BulletinsEnd Of Life NoticesEDUCATIONDDN TrainingSERVICESProfessional ServicesPARTNERSPartnerlink Global Solution PartnersPartner Ecosystem OverviewTechnology PartnersCOMPANYLeadershipNews CenterBrand AssetsEventsAwards AccoladesResource LibraryBlogCorporate Social ResponsibilityCareersOffice Locations A Storage Specialist DDN BLOG DDN AI Storage Gets Faster Simpler GPUDirect Storage DDN breaks record performance DGX A100: 178 GBs delivered directly GPUs, 60x NFS. How organizations ensure environment running ideally scales large? Is investment GPU Infrastructure, data scientists, data sources ingestion optimized headroom accelerate value data? Simplicity performance hand hand comes scale. The complexity managing data silos, multiple tiers storage different systems storage appliances designed scale significant risk factor AI projects. DDN proven supplier achieve atscale production, unlike enterprise protocols like NFS solutions designed modest sized workloads, exceedingly difficult manage ultimately fail scale. Even accelerating technologies ROCE, NFS bottleneck applications running GPUs. In post, discuss advanced technology development weve furthered close collaboration NVIDIA ensure DDN data platforms achieve DGX A100 systems. Optimized AI Storage Infrastructure Maximizes Computing Performance Solutions based DDN AI400X supply 178 GBs single NVIDIA DGX A100. Scales Easily Seamlessly DDN AI400X based solutions maximize investment single DGX A100 proven scale 280 clients NVIDIA SuperPOD DGX A100. Proven Production DDN decades experience supplying absolute best storage dataintensive organizations driving innovation discovery. Just organizations need bring competitive value AI, Data Infrastructure deliver saturationlevel performance AI workflows minimum infrastructure manual data movement. DDN A3I Storage outperforms whilst minimizing configuration complexity AI infrastructure. With decades experience delivering solutions worlds largest computing centers, DDNs recent deployments NVIDIAs Selene 7th ranked IO500 largest SuperPOD DGX A100 currently operation. The Selene cluster 280 DGX A100 systems. These GPUbased systems, GPU computing platforms, represent significant revolution enormous amounts data processed. NVIDIA GPUs provide massively concurrent processing capabilities DDN shared parallel architecture proven ensure saturation types unstructured data workloads large, small mixed file type environments largest scale GPUs. This makes DDN A3I Solutions ideal data platform enabling endtoend AI workflows like deep learning inference. In fact, DDN enables largest autonomous driving programs world data platforms scale petabytes capacity deliver terabytes second performance. But ones rest laurels, DDN NVIDIA constantly looking improve performance AI workflows. One way working GPUDirect Storage GDS, NVIDIAs Magnum IO set APIs. GDS improves efficiency data movement storage GPU faster, direct data path. Data transferred directly network interface card NIC host GPU memory CPU. This eliminates bottleneck IO path architecture, eliminates unnecessary data copies, reduces latency, frees CPU resources tasks, like image processing ingest deep learning applications. The NVIDIA DGX A100 includes singleported Mellanox ConnectX6 Network Interfaces. To manage traffic inside DGX A100, interconnected PCI switches, GPUs NICs. The PCI switches interconnected AMD CPUs. DDNs fullyintegrated GDS shared parallel architecture manages data path better suppliers guaranteeing data transfers pass directly nearest interface. So combination DDN A3I Storage GDS ensures data goes shortest, efficient path possible application storage. Our lab testing connected AI400X appliances, appliances configurations weve shipping past months, DGX A100 HDR 200 Infiniband network. We connected singleported NICS DGX A100 system, closest GPUs. We measured performance GPUs standard IO path CPU, second GDS enabled optimized IO path. There exciting points note results: First, deliver 178 GBs read 154 GBs write performance directly GPUs GDS. Thats line rate capability HDR200 NICs Its 60X enterprise file sharing protocols like NFS provide. The infinitely scalable nature DDN shared parallel architecture makes simple achieve level performance multiple systems engaged simultaneously example, POD SuperPOD deployment. Second, GDS enables deliver 50 throughput GPUs compared traditional path CPU. Our performance CPU path impressive 108 GBs read throughput single client. But DGX limitations data path CPU, need GDS achieve data saturation GPUs DGX A100. Third, GDS fullyintegrated DDN AI400X appliance. The performance benchmark application running GPUs seamlessly instantly took advantage GDS capability system. 178 GBs performance delivered DGX A100 box. This involve additional licensing cost. Its exciting shared parallel architecture evolved. A3I delivers data highthroughput, lowlatency massive concurrency equally single supercomputer like DGX A100, large supercomputing cluster clients NVIDIA SuperPOD. DDN technology proven deliver maximum flexibility ability scale. By unique MultiRail algorithm, DDN A3I appliances automatically balance network traffic optimized highperformance networking simple outofbox feature. Are deploying AI HPC scale NVIDIA GPUs DGX A100 systems? If so, touch lets discuss data platforms GDS help performance applications running GPUs. Resources Might Interested Get AI DGX A100 Solutions Guide Get AI DGX A100 Performance Brief Dr. James Coomer Sr. Vice President Products Date: Promo Tech Innovation Thought Leadership August 4, 2020 Getting AI Data Center Right AIdata centers arent fad buzz word. They reality stay. Im hard pressed customers ARENT AI ML data way, shape, form advance business Read More Promo Tech Innovation Thought Leadership July 21, 2020 Building Best Storage AI ... With possible impediments successful AI program, DDN ensures managing data isnt them. There requirements AI storage, 3 scalability, performance, good economics Read More Promo Tech Innovation Thought Leadership June 30, 2020 Accelerating Data Storage NVIDIA... Although ISC High Performance 2020 Digital ISC virtual year, lead short usual announcements showcases groundbreaking technology advancements artificial intelligence AI, high performance computing HPC, big data Read More Load More Twitter: ddn_limitlessJoin experts use cases discover enabling fast 1 day ago CONTACT SALES RSS FEED SUPPORT CENTER REACH OUT 1.800.837.2298 1.818.700.4000 Twitter LinkedIn Youtube Instagram DataDirect Networks, . Other Names Brands May Be Claimed Property Others. 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https://www.oodaloop.com/technology/2020/04/23/intel-accenture-use-ai-to-save-the-coral-reef/ | 2020-04-23T00:00:00 | en | OODA Loop - Intel & Accenture Use AI To Save The Coral Reef | OODA Loop - Intel & Accenture Use AI To Save The Coral Reef Get In The Loop – Join Today! HomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingContactMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers’ GuideHomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingContactMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers’ GuideNews BriefsTechnologyIntel & Accenture Use AI To Save The Coral Reef OODA Analyst 2020-04-23 23 Apr 2020 OODA AnalystShareTweetPostRedditAccenture, Intel, and the Sulubaaï Environmental Foundation announced a new project, called CORaiL, that aims to monitor, characterize, and analyze coral reef resilience through artificial intelligence technology. Since May of 2019, the AI-powered solution has been deployed to reefs surrounded the Pangatalan Island, Philippines, collecting a total of 40,000 images. The images are later studied by experts to analyze the effects of climate change in the area.Project CORaiL is an example of how edge technology and AI can assist researchers in varying fields, in this case, monitoring and restoring an essential ocean ecosystem. Traditional efforts to monitor coral reefs are very time consuming and involve human divers either directly collecting data underwater of manually capturing video footage. Although these methods are trusted, there are several disadvantages that are fixed through CORaiL’s AI-powered solution.Read More: Intel & Accenture Use AI To Save The Coral Reef Tags:AccentureAIArtificial IntelligenceTechnology OODA AnalystOODA is comprised of a unique team of international experts capable of providing advanced intelligence and analysis, strategy and planning support, risk and threat management, training, decision support, crisis response, and security services to global corporations and governments.You Might Also Like DARPA Wants Tech That Can Trick Computer Vision April 22, 2020 Army Wants to Study How Humans Team With AI—And Vice Versa April 22, 2020OODA Analysis OODAcast – A Conversation with Former CIA CTO Bob Flores Emergent Ideas Around Covid-19 The free OODA Daily Pulse Report provides a detailed summary of the top cybersecurity, technology, and global risk stories of the day. Subscribe today!OODA Briefs Intel & Accenture Use AI To Save The Coral Reef Perspecta Labs Wins $14.5m Autonomous Cyber-Defense Contract Oil and Gas Companies Targeted With Agent Tesla Malware Connected Home Hubs Open Houses to Full Remote Takeover Hong Kong Police Arrest Pro-Democracy Activists Nations ease some virus restrictions yet public still wary England and Wales coronavirus death toll 41% higher than UK government’s daily figures DARPA Wants Tech That Can Trick Computer VisionCopyright © - All Rights Reserved.About OODA LoopTerms of UseGeneral InquiryGet In The Loop – Join Today!Podcast SHAREIntel & Accenture Use AI To Save The Coral Reef | OODA Loop | OODA Loop Intel Accenture Use AI To Save The Coral Reef Get In The Loop Join Today HomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers GuideHomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers GuideNews BriefsTechnologyIntel Accenture Use AI To Save The Coral Reef OODA Analyst 20200423 23 Apr 2020 OODA AnalystShareTweetPostRedditAccenture, Intel, Sulubaa Environmental Foundation announced new project, called CORaiL, aims monitor, characterize, analyze coral reef resilience artificial intelligence technology. Since May 2019, AIpowered solution deployed reefs surrounded Pangatalan Island, Philippines, collecting total 40,000 images. The images later studied experts analyze effects climate change area.Project CORaiL example edge technology AI assist researchers varying fields, case, monitoring restoring essential ocean ecosystem. Traditional efforts monitor coral reefs time consuming involve human divers directly collecting data underwater manually capturing video footage. Although methods trusted, disadvantages fixed CORaiLs AIpowered solution.Read More: Intel Accenture Use AI To Save The Coral Reef Tags:AccentureAIArtificial IntelligenceTechnology OODA AnalystOODA comprised unique team international experts capable providing advanced intelligence analysis, strategy planning support, risk threat management, training, decision support, crisis response, security services global corporations governments.You Might Also Like DARPA Wants Tech That Can Trick Computer Vision April 22, 2020 Army Wants Study How Humans Team With AIAnd Vice Versa April 22, 2020OODA Analysis OODAcast A Conversation Former CIA CTO Bob Flores Emergent Ideas Around Covid19 The free OODA Daily Pulse Report provides detailed summary cybersecurity, technology, global risk stories day. todayOODA Briefs Intel Accenture Use AI To Save The Coral Reef Perspecta Labs Wins 14.5m Autonomous CyberDefense Contract Oil Gas Companies Targeted With Agent Tesla Malware Connected Home Hubs Open Houses Full Remote Takeover Hong Kong Police Arrest ProDemocracy Activists Nations ease virus restrictions public wary England Wales coronavirus death toll 41 higher UK governments daily figures DARPA Wants Tech That Can Trick Computer Vision .About OODA LoopTerms UseGeneral InquiryGet In The Loop Join TodayPodcast SHAREIntel Accenture Use AI To Save The Coral Reef | 2,020 | [
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Impact of AI (Artificial Intelligence) In Designing World 2020
Published 2 days ago on November 6, 2020
By Cynthia Jose
Artificial Intelligence has undergone evolutionary advancements making us optimistic and skeptical at the same time. The skeptics proclaim that AI is still an unknown entity, and figuring it out as embedded in every system is unwise. That said, they have not been able to sway the people exposed to its magic, and the potential AI has given to the world, including the designing world. People are looking forward to the strides AI is making in 2020 and the future.
Designers and other graphic design agencies are engaging in a spirited conversation about whether AI can be entirely accepted into the designing industry. They have exercised caution to the introduction to the gradual integration of AI in the design business. The impact of AI includes Deep Learning, Machine Learning, VR (Virtual realities), MR (Mixed Realities), and AR (Augmented Realities). The main worries of designers are the changes AI is making in their job functionality.
What are the areas of AI that have presently changed the way the designing world operates? With AI, modified relationships have been established between the consumer and the product. These interactions will continue to develop, and discourse will continue about how AI can bring innovation to products and services in the modern world. Businesses are looking forward to succeeding with the utilization of AI.
AI and Design
How AI has affected the designing world needs to be deconstructed and examined whether the pros outweigh the cons. Designers need to stop considering AI as a magical or unusual phenomenon. Some of the beneficial aspects of AI is related to optimization and speed. Designers have lauded how AI has begun to create designs at an accelerated pace with efficiency. The strength of AI lies in its analysis of data and design adjustments. A designer will pick out the adjustments according to the data.
There is a common fear among the designers that AI means to replace them with robots. It is worth mentioning that AI is only a built-in human feature. It does not dictate creativity in the system in which it operates. The designing and development industry has seen growth with neural learning, augments reality, virtual reality, and mixed reality.
While the designing world is seeing progression with AI, its solutions are becoming more and more critical for designers. Without having knowledge of these advanced tools, it is difficult for designers to keep up with their competitors.
The Amalgamation of AI in The Designing Industry
The future is AI. That is evident. It is inevitable that its rapid growth enters and takes over the field of design. Which is why designers must do what they can to collaborate with its infrastructure. They need to work in areas where AI will be of assistance to them apart from algorithms’ formulation.
Most of the designing projects can be automated with the help of AI. The process of editing, cropping, and color corrections are daunting tasks. Which is why designers are hoping AI will do the tasks for them. Adobe has mastered this through its AI software feature, making the designing convenient and more efficient.
Designing tools and apps have increased in intelligence since their inception. An AI-powered designing app can quickly formulate what’s in an image. These apps also help determine the best visual effects and filters to use in the images. These AI charged applications enable the generation of top-notch visual artistry.
The purpose of Artificial intelligence is the make systems more vigorous and robust. It also serves to make designing tools more efficient. Users require design systems to work on their patterns. With the infusion of AI, it can analyze and detect these patterns on its own and proceed to optimize it. This is the scale of how much AI has transformed the designing industry.
AI will have the ability to facilitate designers by helping them construct logos with their logo maker tools. This will make the designer’s task much more manageable and accelerates their task completion process.
The AI world is all about innovation, and it seeks to share some of it through the designing world. It has allowed designers to perform tasks they never even dreamed of. There is no accuracy to the myth that artificial intelligence will replace the designer’s jobs. Nothing could be further from the truth. All it does is give more free time to designers and keep them from repetitive tasks. AI will help designers focus more on the strategic aspect of the designing process.
While there is no truth to AI replacing the jobs of designers, it does not mean it should be adopted without regulations. You can easily acquire the services of a flat-rate graphic design to assist you in your designing endeavors. Some of them already have AI at their disposal. You just have to find them.
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| Impact Of AI (Artificial Intelligence) In Designing World 2020 | Impact Of AI Artificial Intelligence In Designing World 2020 News Latest News Finance NetWorth Celebrity NetWorth Actors Actresses Politicians NetWorth Royals Business Business men Business Women CEOs Sports NetWorth Football wrestler Sports MLB MMA NASCAR NBA NFL NHL Cricket RUGBY Boxing Golf Football Tennis Horse Racing Entertainment Celebrities Fashion fandom news Fitness Food HEALTH Diet fitness supplements weight management Relationship Write For Connect RecentlyHeard: Breaking News, Latest News, Coronavirus News Impact AI Artificial Intelligence In Designing World 2020 News Latest News Finance NetWorth Celebrity NetWorth Actors Actresses Politicians NetWorth Royals Business Business men Business Women CEOs Sports NetWorth Football wrestler Sports MLB MMA NASCAR NBA NFL NHL Cricket RUGBY Boxing Golf Football Tennis Horse Racing Entertainment Celebrities Fashion fandom news Fitness Food HEALTH Diet fitness supplements weight management Relationship Write For Write Business Impact AI Artificial Intelligence In Designing World 2020 Published 2 days ago November 6, 2020 By Cynthia Jose Artificial Intelligence undergone evolutionary advancements making optimistic skeptical time. The skeptics proclaim AI unknown entity, figuring embedded unwise. That said, able sway people exposed magic, potential AI given world, including designing world. People looking forward strides AI making 2020 future. Designers graphic design agencies engaging spirited conversation AI entirely accepted designing industry. They exercised caution introduction gradual integration AI design business. The impact AI includes Deep Learning, Machine Learning, VR Virtual realities, MR Mixed Realities, AR Augmented Realities. The main worries designers changes AI making job functionality. What areas AI presently changed way designing world operates? With AI, modified relationships established consumer product. These interactions continue develop, discourse continue AI bring innovation products services modern world. Businesses looking forward succeeding utilization AI. AI Design How AI affected designing world needs deconstructed examined pros outweigh cons. Designers need stop considering AI magical unusual phenomenon. Some beneficial aspects AI related optimization speed. Designers lauded AI begun create designs accelerated pace efficiency. The strength AI lies analysis data design adjustments. A designer pick adjustments according data. There common fear designers AI means replace robots. It worth mentioning AI builtin human feature. It dictate creativity operates. The designing development industry seen growth neural learning, augments reality, virtual reality, mixed reality. While designing world seeing progression AI, solutions critical designers. Without knowledge advanced tools, difficult designers competitors. The Amalgamation AI The Designing Industry The future AI. That evident. It inevitable rapid growth enters takes field design. Which designers collaborate infrastructure. They need work areas AI assistance apart algorithms formulation. Most designing projects automated help AI. The process editing, cropping, color corrections daunting tasks. Which designers hoping AI tasks them. Adobe mastered AI software feature, making designing convenient efficient. Designing tools apps increased intelligence inception. An AIpowered designing app quickly formulate whats image. These apps help determine best visual effects filters use images. These AI charged applications enable generation topnotch visual artistry. The purpose Artificial intelligence systems vigorous robust. It serves designing tools efficient. Users require design systems work patterns. With infusion AI, analyze detect patterns proceed optimize it. This scale AI transformed designing industry. AI ability facilitate designers helping construct logos logo maker tools. This designers task manageable accelerates task completion process. The AI world innovation, seeks share designing world. It allowed designers perform tasks dreamed of. There accuracy myth artificial intelligence replace designers jobs. Nothing truth. All free time designers repetitive tasks. AI help designers focus strategic aspect designing process. While truth AI replacing jobs designers, mean adopted regulations. You easily acquire services flatrate graphic design assist designing endeavors. Some AI disposal. You them. ShareTweetSharePin0 Shares Related Topics: Dont Miss 6 Stratergies To rease The Business On Instagram Cynthia Jose Continue Reading You like Click comment You logged post comment Leave Reply Cancel replyYou logged post comment. 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] | 1 | POSITIVE | 485 |
https://www.mondaq.com/india/Intellectual-Property/899660/Blending-Of-Machine-Learning-With-GNSS-Devices | 2020-03-15T00:00:00 | en | Blending Of Machine Learning With GNSS Devices - Intellectual Property - India |
Blending Of Machine Learning With GNSS Devices - Intellectual Property - India
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India:
Blending Of Machine Learning With GNSS Devices
03 March 2020
by
Astha Patent
Khurana and Khurana
0 Liked this Article
To print this article, all you need is to be registered or login on Mondaq.com.
Apple, which is considered to be a benchmark for electronic
gadgets, has applied for patenting of a cutting-edge Machine
Learning based Global Navigation Satellite System (GNSS)
device.
Global Navigation Satellite System refers to a group of
satellites, enveloping the globe, to aid in navigation. GNSS
satellites triangulate user's location and send signals from
space that transmit positioning and timing data to GNSS
receivers, which determine a location by finding the best estimate
after combining signals from various satellites. The available GNSS
systems include Galileo of Europe, NAVSTAR Global Positioning
System (GPS) of USA, Global'nayaNavigatsionnayaSputnikovaya
Sistema (GLONASS) of Russia, BeiDou Navigation Satellite System of
China, and NAVigation with Indian Constellation (NAVIC) of
India.
At present, almost all the available GNSS systems use
Kalmanlinear quadratic estimation filters. These navigational
systems rely totally on the orbiting satellites, hence, inherently
susceptible to inaccuracy due to such large distances between
satellites and moving users on the ground. Now, Apple, as per the
filed patent, seeks to use Machine Learning along with the Kalman
filters to improve accuracy of the GNSS devices and bring it down
to centimetres from metres.
According to the patent application filed, Apple has proposed
Machine Learning Assisted Satellite Based
Positioning:
A device that implements a system for
estimating device location based on a positioning system comprising
a Global Navigation Satellite System (GNSS) satellite, and receives
a set of parameters associated with the estimated position.
The processor is further configured
to apply the set of parameters and the estimated position to a
machine learning model that has been trained on a position relative
to the GNSS satellite.
The estimated position and output of
the machine learning model is then provided to a Kalman filter for
more accurate location.
The device, say an iPhone would
generate a machine learning model, for example, by comparing GNSS
position estimates (or estimated measurement errors) with
corresponding reference position estimates (where the reference
positions correspond to ground truth data).
In one or more implementations, the
ground truth data may be better (e.g., significantly
better) than what a mobile device alone can perform in most
non-aided mode(s) of operation. For example, a mobile phone in a
car may be significantly better aided than a pedestrian device,
because the motion model for a vehicle is more constrained, and has
aiding data in the form of maps and sensor inputs.
Tall buildings and tree cover can confuse the positioning
systems to accurately locate the user. So, Apple seeks to generate
machine learning models on the device that would predict the
user's location based on training as well as a reference
position.
As of now, GPS is the most reliable and widely used satellite
location system, but, Apple's application, as per filed patent,
goes beyond it to include various types of GNSS systems, such that
in each case triangulation of satellite data, the machine
learning-corrected version will be transmitted to the Kalman
filter. This would result in a single estimated device location at
any time instant, which will be in-line with data from
both the current user and the machine's training.
Currently, the GNSS systems generally rely on live
location-determining through multiple satellites, which can consume
some time, during which the user may move. But, such systems face
various noises, such as dispersion of signals, reflection of
signals, due to large distance between the satellites and the GNSS
receiver, atmospheric envelope, etc. But, in case of the proposed
Machine Learning based GNSS device, the device can be trained to
provide improvised location of the user based on previously
gathered data from the surroundings. In a particular
locality, there might be a set pattern of satellite signal
reflections, which can cause errors while determining user
location, here the device can overcome the problem through machine
learning.
Apple's patent application, which was officially published
on 13 February 2020, could be added to the company's navigation
software, if granted, or may remain in the labs indefinitely.
Reference:
[1] https://www.gpsworld.com/apple-applies-for-machine-learning-gnss-device/
[2] https://insidegnss.com/apple-seeks-machine-learning-gnss-positions-patent/
[3] https://venturebeat.com/2020/02/13/apple-seeks-to-patent-machine-learning-correction-of-gps-estimates/
The content of this article is intended to provide a general
guide to the subject matter. Specialist advice should be sought
about your specific circumstances.
AUTHOR(S)
Astha Patent
Khurana and Khurana
ARTICLE TAGS
India
Intellectual Property
Patent
Technology
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| Blending Of Machine Learning With GNSS Devices | Blending Of Machine Learning With GNSS Devices Intellectual Property India Mondaq uses cookies website. By website agree use cookies set . Learn More Accept Home India India Intellectual Property CONTRIBUTOR Most Read: Contributor India, May 2019 ARTICLE Share Forward article Save File Pocket LinkedIn Twitter Facebook Follow Question Print Translate Translation India: Blending Of Machine Learning With GNSS Devices 03 March 2020 Astha Patent Khurana Khurana 0 Liked Article To print article, need registered login . Apple, considered benchmark electronic gadgets, applied patenting cuttingedge Machine Learning based Global Navigation Satellite System GNSS device. Global Navigation Satellite System refers group satellites, enveloping globe, aid navigation. GNSS satellites triangulate users location send signals space transmit positioning timing data GNSS receivers, determine location finding best estimate combining signals satellites. The available GNSS systems include Galileo Europe, NAVSTAR Global Positioning System GPS USA, GlobalnayaNavigatsionnayaSputnikovaya Sistema GLONASS Russia, BeiDou Navigation Satellite System China, NAVigation Indian Constellation NAVIC India. At present, available GNSS systems use Kalmanlinear quadratic estimation filters. These navigational systems rely totally orbiting satellites, hence, inherently susceptible inaccuracy large distances satellites moving users ground. Now, Apple, filed patent, seeks use Machine Learning Kalman filters improve accuracy GNSS devices bring centimetres metres. According patent application filed, Apple proposed Machine Learning Assisted Satellite Based Positioning: A device implements estimating device location based positioning comprising Global Navigation Satellite System GNSS satellite, receives set parameters associated estimated position. The processor configured apply set parameters estimated position machine learning model trained position relative GNSS satellite. The estimated position output machine learning model provided Kalman filter accurate location. The device, iPhone generate machine learning model, example, comparing GNSS position estimates estimated measurement errors corresponding reference position estimates reference positions correspond ground truth data. In implementations, ground truth data better e.g., significantly better mobile device perform nonaided modes operation. For example, mobile phone car significantly better aided pedestrian device, motion model vehicle constrained, aiding data form maps sensor inputs. Tall buildings tree cover confuse positioning systems accurately locate user. So, Apple seeks generate machine learning models device predict users location based training reference position. As now, GPS reliable widely satellite location system, but, Apples application, filed patent, goes include types GNSS systems, case triangulation satellite data, machine learningcorrected version transmitted Kalman filter. This result single estimated device location time instant, inline data current user machines training. Currently, GNSS systems generally rely live locationdetermining multiple satellites, consume time, user move. But, systems face noises, dispersion signals, reflection signals, large distance satellites GNSS receiver, atmospheric envelope, etc. But, case proposed Machine Learning based GNSS device, device trained provide improvised location user based previously gathered data surroundings. In particular locality, set pattern satellite signal reflections, cause errors determining user location, device overcome problem machine learning. Apples patent application, officially published 13 February 2020, added companys navigation software, granted, remain labs indefinitely. Reference: [1] [2] [3] The content article intended provide general guide subject matter. Specialist advice sought specific circumstances. AUTHORS Astha Patent Khurana Khurana ARTICLE TAGS India Intellectual Property Patent Technology New Technology POPULAR ARTICLES ON: Intellectual Property India Data Scraping And Legal Issues In India S.S. Rana Co. Advocates Data scraping easier method task faster efficient manner. Patents Law In India Everything You Must Know Vaish Associates Advocates The presentPatents Act, 1970 came force year 1972, amending consolidating existing law relating Patents India Doctrine Of Equivalents: Patent Infringement Singh Associates A patent form intellectual property gives right inventor created new, useful nonobvious. Refusal Of Trademark Registration Absolute Grounds Singh Associates Trademarks capable distinguishing goods services person person. Crocs . v. Bata India Ltd. And Others Khurana Khurana Respondents are, inter alia, Bata India Ltd., Liberty Shoes Ltd., Action Shoes Pvt. Ltd., Aqualite India Ltd., Bioworld Merchandising India Ltd., Relaxo Footware Ltd., Kidz Palace. Difference Between Passing Off And Infringement Of The Trade Mark Khurana Khurana A Trade mark defined lawfully protected abstract, word, symbol, color, mark, slogan mixture related organization selected product differentiates accessible market. RELATEDnbspCONTENT FREE News Alerts Sign Up free News Alerts All latest articles chosen topics condensed free biweekly email. 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https://www.financialexpress.com/industry/mukesh-ambani-said-that-ai-will-enable-india-move-faster-towards-transforming-into-5-trillion-economy/2098677/ | 2020-10-05T00:00:00 | en | Mukesh Ambani: AI never can, never will replace human mind; to enable India move faster towards $5t path - The Financial Express | Mukesh Ambani: AI never can, never will replace human mind; to enable India move faster towards $5t path - The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSMEBrandwagonUS Stocks INVEST MORE MARKET STATS Top GainersTop LosersMutual FundsEquity FundsDebt FundsHybrid FundsNew Fund OfferGold FundsOnly BuyersOnly SellersVolume ToppersValue ToppersAdvances/Declines52 Weeks High/LowPrice ShockersVolume Shockers INVEST IN US MARKET Mukesh Ambani: AI never can, never will replace human mind; to enable India move faster towards $5t pathBy: Sandeep Soni | Updated: Oct 05, 2020 8:38 PMAI will help in making India's industry and small businesses atmanirbhar and dominating new global value chains, modernising Indian agriculture and multiplying incomes of our farmers, said Mukesh Ambani at the Raise 2020 summit.Mukesh Ambani was addressing the RAISE 2020 virtual summit.Underscoring the artificial intelligence’s (AI) role in transforming India, Reliance Industries Chairman Mukesh Ambani on Monday said that AI can never and will never replace the human mind. “Rather, AI and other associated technologies of the 4th Industrial Revolution will vastly expand our capacity to solve the most complex and pressing problems before India and the world,” Ambani said in his address at the RAISE 2020 virtual summit. He further asserted the significance of AI to enable India to move faster towards transforming India into a high growth economy on its path to $5 trillion.Apart from the economic growth, Ambani said that AI will also help India towards achieving other ambitious goals set PM Modi, viz, making India’s Industry and small businesses atmanirbhar and dominating new global value chains, modernising Indian agriculture and multiplying incomes of our farmers, delivering high-quality and affordable healthcare to all Indians and lastly, delivering world-class education, skill training and talent enrichment to every Indian, including those in the remotest parts of rural India.Related NewsIBM to set up centre of excellence for AI in partnership with GeMIndia Inc's foreign borrowings drop 47% to USD 1.75 billion in AugustMotorola Razr 5G first impressions: Nostalgia strikes twiceIndia now has all the crucial components in place to become a premier digital society that will “generate data at an explosive and exponential rate…Data is the raw material for AI. Intelligent data is digital capital. It is a vital national resource,” Ambani further said.Also read: Google heeds apps’ backlash; extends Play Store billing policy deadline to March 2022In the past few years, Reliance has quite transformed itself beyond being a petrochemicals giant into a digital enterprise with new ventures like Jio and JioMart. The company has acquired or invested more than a dozen technology startups across segments such as edtech, chat, drones, health tech, software-as-a-service, robotics and much more. In fact, supporting startups and small businesses to expand its reach and presence have been to an extent central to Ambani’s digital plans.“In the past, nations have competed on physical capital, financial capital, human capital and intellectual capital. But, in the coming decades… nations will increasingly compete on Digital Capital,” Ambani said. The Reliance chief envisioned the proliferation of digital enterprises when 1.3 billion Indians are digitally empowered to create faster economic growth, greater prosperity, high-quality employment opportunities, and better standards of living. Get live Stock Prices from BSE, NSE, US Market and latest NAV, portfolio of Mutual Funds, calculate your tax by Income Tax Calculator, know market’s Top Gainers, Top Losers & Best Equity Funds. Like us on Facebook and follow us on Twitter.Financial Express is now on Telegram. Click here to join our channel and stay updated with the latest Biz news and updates.HomeINDUSTRYMukesh Ambani AI never can never will replace human mind to enable India move faster towards $5t pathAdvertisement Stock MarketMost ReadMRI scan at Rs 50: 'Cheapest' diagnostic facility to start functioning from DecemberWant to quit corporate life? Here's how to plan your early retirementSecond wave of Covid-19 to hit India? Here's why the country must be ready for coronavirus' second waveNo need to fill Schedule 112A in ITR for stock trading, clarifies CBDT; but no respite for investors1 crore Health Insurance: Maximum coverage at affordable pricingPFRDA to engage consultancy for separating NPS Trust, structuringMore IRCTC special trains! Indian Railways looks to introduce 200 more trains for festival seasonDepression and anxiety tripled during COVID-19 lockdown: StudyJet Airways claims cross Rs 40,000 croreEquity MF vs NPS vs Annuity vs Money Back Plans: Which is better to meet your pension need?AdvertisementTop NewsGST Council Meet LIVE: No monthly returns for small taxpayers; refund claims get watertight with PAN, AadhaarMukesh Ambani: AI never can, never will replace human mind; to enable India move faster towards $5t pathSchools to reopen from October 15! Ministry of Education releases guidelines for reopening — check detailsHyundai Creta prices hiked: Seltos rival gets dearer by this muchAir Force ready for two front war! Matrix of threat facing the country is complex, says IAF ChiefRural unemployment skyrockets; jobs lost, or more workers joined labour market?Air Defence Command to be announced soon? Here's all you need to know about ADCCommerce Ministry starts probe to review continuation of anti-dumping duty on some steel products from 7 countriesSpiceJet announces flights on Delhi-London, Mumbai-London routes; Check fares, schedule, key datesCovid-19 update: India crosses 'significant milestone' in recoveries, says Centre; Check state-wise tallyAdvertisementSwitch to Hindi EditionHomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking & FinanceTechnologySME/Start-upsJobsEducationMutual FundsMoneyMoneyInsuranceIncome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaUS StocksINVESTReal EstateSportsLifestyleLifestyleTravel & TourismHealthScienceFrom The PrintInternationalEdits & ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE@campusBrand WagonToday’s PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1IBM to set up centre of excellence for AI in partnership with GeM2India Inc’s foreign borrowings drop 47% to USD 1.75 billion in August3Motorola Razr 5G first impressions: Nostalgia strikes twiceSwitch to Hindi EditionStay connectedMobile AppsTop TrendingStocks In FocusShare Market LIVELatest NewsIndia NewsMARKET NEWSSTOCK QUOTESIndustryTechnologyMoneyInfrastructureAutoEconomyPOPULAR CATEGORIESJobsSMEMUTUAL FUNDSRailwaysBrand WagonIncome TaxHealthScienceIFSC CODEFE ExplainedCash Reserve RatioForm-16Fiscal Policy of IndiaReverse Repo RateRevenue DeficitGDPInterim BudgetCessCustoms DutyQuick LinksFE HindiPAN CARDAADHAAR CARDPassport-VisaInsuranceWorld NewsEntertainmentTravel & TourismAirlines/AviationMoreTAX CALCULATOREpaperPhoto GalleryVideosOpinionCommoditiesDefenceBanking & FinanceToday's PaperTop NSE/BSE Companies Share PriceYes Bank Share PriceReliance Industries Share PriceState Bank of India Share PriceTata Motors Share PriceHDFC Bank Share PriceInfosys Share PriceICICI Bank Share PriceTata Consultancy Services Share PriceITC Share PriceBajaj Finance Share PriceMaruti Suzuki India Share PriceTata Steel Share PriceBajaj Finserv Share PriceLarsen and Toubro Share PriceIndusind Bank Share PriceSun Pharmaceutical Industries Share PriceBharat Petroleum Corporation Share PriceTitan Company Share PriceIndian Oil Corporation Share PriceAxis Bank Share PricePopular Banks IFSC CodeSBI Bank IFSC CodeHDFC Bank IFSC CodeICICI Bank IFSC CodeAxis Bank IFSC CodeCanara Bank IFSC CodeBank of Baroda IFSC CodeIndian Bank IFSC CodePNB Bank IFSC CodeBank of India IFSC CodeKotak Mahindra Bank IFSC CodeUnion Bank of India IFSC CodeCentral Bank of India IFSC CodeIDBI Bank IFSC CodeIndian Overseas Bank IFSC CodeYes Bank IFSC CodeIndian Express Group The Indian ExpressLoksattaJansattainUthRamnath Goenka AwardsMyInsuranceClubIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemapPrivacy PolicyContact UsCopyright ©
2020The Indian Express [P] Ltd. All Rights Reserved | Mukesh Ambani: AI never can, never will replace human mind; to enable India move faster towards $5t path | Mukesh Ambani: AI can, replace human mind; enable India faster 5t path The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSMEBrandwagonUS Stocks INVEST MORE MARKET STATS Top GainersTop LosersMutual FundsEquity FundsDebt FundsHybrid FundsNew Fund OfferGold FundsOnly BuyersOnly SellersVolume ToppersValue ToppersAdvancesDeclines52 Weeks HighLowPrice ShockersVolume Shockers INVEST IN US MARKET Mukesh Ambani: AI can, replace human mind; enable India faster 5tpathBy: Sandeep Soni Updated: Oct 05, 2020 8:38 PMAI help making Indias industry small businesses atmanirbhar dominating new global value chains, modernising Indian agriculture multiplying incomes farmers, said Mukesh Ambani Raise 2020 summit.Mukesh Ambani addressing RAISE 2020 virtual summit.Underscoring artificial intelligences AI role transforming India, Reliance Industries Chairman Mukesh Ambani Monday said AI replace human mind. Rather, AI associated technologies 4th Industrial Revolution vastly expand capacity solve complex pressing problems India world, Ambani said address RAISE 2020 virtual summit. He asserted significance AI enable India faster transforming India high growth economy path 5 trillion.Apart economic growth, Ambani said AI help India achieving ambitious goals set PM Modi, viz, making Indias Industry small businesses atmanirbhar dominating new global value chains, modernising Indian agriculture multiplying incomes farmers, delivering highquality affordable healthcare Indians lastly, delivering worldclass education, skill training talent enrichment Indian, including remotest parts rural India.Related NewsIBM set centre excellence AI partnership GeMIndia foreign borrowings drop 47 USD 1.75 billion AugustMotorola Razr 5G impressions: Nostalgia strikes twiceIndia crucial components place premier digital society generate data explosive exponential rateData raw material AI. Intelligent data digital capital. It vital national resource, Ambani said.Also read:Google heeds apps backlash; extends Play Store billing policy deadline March2022In past years, Reliance transformed petrochemicals giant digital enterprise new ventures like Jio JioMart. The company acquired invested dozen technology startups segments edtech, chat, drones, health tech, softwareasaservice, robotics more. In fact, supporting startups small businesses expand reach presence extent central Ambanis digital plans.In past, nations competed physical capital, financial capital, human capital intellectual capital. But, coming decades nations increasingly compete Digital Capital, Ambani said. The Reliance chief envisioned proliferation digital enterprises 1.3 billion Indians digitally empowered create faster economic growth, greater prosperity, highquality employment opportunities, better standards living. Get live Stock Prices BSE, NSE, US Market latest NAV, portfolio Mutual Funds, calculate tax ome Tax Calculator, know markets Top Gainers, Top Losers Best Equity Funds. Like Facebook follow Twitter.Financial Express Telegram. Click join channel stay updated latest Biz news updates.HomeINDUSTRYMukesh Ambani AI replace human mind enable India faster 5tnbsppathAdvertisementStock MarketMost ReadMRI scan Rs 50: Cheapest diagnostic facility start functioning DecemberWant quit corporate life? Heres plan early retirementSecond wave Covid19 hit India? Heres country ready coronavirus second waveNo need Schedule 112A ITR stock trading, clarifies CBDT; respite investors1 crore Health Insurance: Maximum coverage affordable pricingPFRDA engage consultancy separating NPS Trust, structuringMore IRCTC special trains Indian Railways looks introduce 200 trains festival seasonDepression anxiety tripled COVID19 lockdown: StudyJet Airways claims cross Rs 40,000 croreEquity MF vs NPS vs Annuity vs Money Back Plans: Which better meet pension need?AdvertisementTop NewsGST Council Meet LIVE: No monthly returns small taxpayers; refund claims watertight PAN, AadhaarMukesh Ambani: AI can, replace human mind; enable India faster 5t pathSchools reopen October 15 Ministry Education releases guidelines reopening check detailsHyundai Creta prices hiked: Seltos rival gets dearer muchAir Force ready war Matrix threat facing country complex, says IAF ChiefRural unemployment skyrockets; jobs lost, workers joined labour market?Air Defence Command announced soon? Heres need know ADCCommerce Ministry starts probe review continuation antidumping duty steel products 7 countriesSpiceJet announces flights DelhiLondon, MumbaiLondon routes; Check fares, schedule, key datesCovid19 update: India crosses significant milestone recoveries, says Centre; Check statewise tallyAdvertisementSwitch Hindi EditionHomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking FinanceTechnologySMEStartupsJobsEducationMutual FundsMoneyMoneyInsuranceome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaUS StocksINVESTReal EstateSportsLifestyleLifestyleTravel TourismHealthScienceFrom The PrintInternationalEdits ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE WagonTodays PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1IBM set centre excellence AI partnership withGeM2India foreign borrowings drop 47 USD 1.75 billion inAugust3Motorola Razr 5G impressions: Nostalgia strikestwiceSwitch Hindi EditionStay connectedMobile AppsTop TrendingStocks In FocusShare Market LIVELatest NewsIndia NewsMARKET NEWSSTOCK QUOTESIndustryTechnologyMoneyInfrastructureAutoEconomyPOPULAR CATEGORIESJobsSMEMUTUAL FUNDSRailwaysBrand Wagonome TaxHealthScienceIFSC CODEFE ExplainedCash Reserve RatioForm16Fiscal Policy IndiaReverse Repo RateRevenue DeficitGDPInterim BudgetCessCustoms DutyQuick LinksFE HindiPAN CARDAADHAAR CARDPassportVisaInsuranceWorld NewsEntertainmentTravel TourismAirlinesAviationMoreTAX CALCULATOREpaperPhoto GalleryVideosOpinionCommoditiesDefenceBanking FinanceTodays PaperTop NSEBSE Companies Share PriceYes Bank Share PriceReliance Industries Share PriceState Bank India Share PriceTata Motors Share PriceHDFC Bank Share PriceInfosys Share PriceICICI Bank Share PriceTata Consultancy Services Share PriceITC Share PriceBajaj Finance Share PriceMaruti Suzuki India Share PriceTata Steel Share PriceBajaj Finserv Share PriceLarsen Toubro Share PriceIndusind Bank Share PriceSun Pharmaceutical Industries Share PriceBharat Petroleum Corporation Share PriceTitan Company Share PriceIndian Oil Corporation Share PriceAxis Bank Share PricePopular Banks IFSC CodeSBI Bank IFSC CodeHDFC Bank IFSC CodeICICI Bank IFSC CodeAxis Bank IFSC CodeCanara Bank IFSC CodeBank Baroda IFSC CodeIndian Bank IFSC CodePNB Bank IFSC CodeBank India IFSC CodeKotak Mahindra Bank IFSC CodeUnion Bank India IFSC CodeCentral Bank India IFSC CodeIDBI Bank IFSC CodeIndian Overseas Bank IFSC CodeYes Bank IFSC CodeIndian Express Group The Indian ExpressLoksattaJansattainUthRamnath Goenka AwardsMyInsuranceClubIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemap Us 2020The Indian Express [P] Ltd. | 2,020 | [
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https://www.businessgreen.com/news/4015483/google-backs-custom-ai-oil-gas-extraction | 2020-05-21T00:00:00 | en | Google backs off on custom AI for oil and gas extraction |
Google backs off on custom AI for oil and gas extraction
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Google backs off on custom AI for oil and gas extraction
The tar sands in Canada is one region where oil majors are working with tech giants to extract fossil fuel. Credit: Dru Oja Jay, Dominion
Cecilia Keating
@cecilia_keating
20 May 2020
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A new Greenpeace report notes that Microsoft, Amazon and Google are undermining their public carbon commitments through by providing services that allow oil and gas firms extract fossil fuels from the earth.
Google has revealed that it will no longer build custom artificial intelligence (AI) tools that help oil and gas firms extract fossil fuels.
The company made the commitment earlier this month and confirmed the move yesterday following the publication of a Greenpeace report that detailed how Microsoft, Google, and Amazon are using AI technologies to help oil majors find and extract oil and gas deposits around the world.
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The practice has become a target for environmental campaigners who have argued that supporting oil extraction runs counter to the tech sectors increasingly vocal pledges to tackle escalating climate risks and pursue net zero emissions goals.
A Google spokesperson said: "Google Cloud is a general purpose infrastructure and data processing platform," they said. "We therefore have companies from several industries using this platform to exit their data centres and run their IT systems on the Cloud. But we will not, for instance, build custom AI / ML (machine learning) algorithms to facilitate upstream extraction in the oil and gas industry."
Greenpeace applauded the new commitment. "While Google still has a few legacy contracts with oil and gas firms, we welcome this indication from Google that it will no longer build custom solutions for upstream oil and gas extraction," said Elizabeth Jardim, senior corporate campaigner for Greenpeace USA.
The Google spokesperson noted that Google Cloud took approximately $65m from the oil and gas sector in 2019, which accounted for "less than one per cent" of Google Cloud's total revenue.
As such Google Cloud's business with upstream oil and gas is just a tiny fraction of a bigger picture. Greenpeace's report, titled Oil in the Cloud: How Tech Companies are Helping Big Oil Profit from Climate Destruction, cites BloombergNEF statistics that estimate overall spend by oil and gas companies on cloud computing and advanced analytics is set to balloon from roughly $2.5bn this year to $15.7bn in 2030.
These AI services will provide a "critical toolkit" for fossil fuel companies looking to bounce back from the industry's current downturn, Greenpeace warned. Following the crash in oil prices - largely due to the coronavirus crisis squeezing demand at a time when a supply glut was already evident - companies are now turning to computing services to help maximise returns, the report notes.
Accenture estimates that advanced analytics and modelling could generate at much as $425bn in value for the oil and gas sector by 2025.
Greenpeace said there was a "stark disconnect" between Google, Amazon, Microsoft's public climate goals and their ongoing business with oil and gas firms.
"Despite the biggest cloud companies' commitments to address climate change, Microsoft, Google, and Amazon all have connections to some of the world's dirtiest oil companies for the explicit purpose of getting more oil and gas out of the ground and onto the market faster and cheaper," the report notes.
Greenpeace said that the tech giants' contracts were largely focused on extraction activities in the Permian Basin in Texas and New Mexico, as well as the Canadian tar sands, the Gulf of Mexico, the Arctic and in the Atlantic and North Sea.
Microsoft, which boasts the most ambitious decarbonisation programme of the three with a pledge to become 'carbon negative' by 2030, has the most contracts with oil and gas companies, according to the report, including a contract with ExxonMobil that could lead to emissions that are greater than 20 per cent of Microsoft's annual carbon footprint.
"Microsoft can never truly achieve its recently announced 'carbon negative' goal while continuing to aid the oil and gas sector with exploration and production," Greenpeace said.
In response to the findings, Microsoft published a blog statement on Tuesday that emphasised the company's commitment to be carbon negative by 2030 and remove all the carbon emitted since founding by mid-century.
"We agree that the world confronts an urgent carbon problem and we all must do more and move faster to reach a net zero carbon future," Microsoft wrote. "The reality is that the world's energy currently comes from fossil fuels and, as standards of living around the world improve, the world will require even more energy."
Amazon, which has pledged to be carbon neutral by 2040, had not replied to a request for comment ahead of this article's publication.
Greenpeace has urged the three tech giants to publicly distance themselves from clients who are making the climate crisis worse and called on then to make public commitments to end all "problematic" contracts.
Correction: This article was amended to reflect the fact that Google's commitment to no longer build custom AI tools for oil and gas was made in early May, not yesterday as previously suggested.
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Phone: 44 0 1858 438800 Email: [emailprotected] Sign Follow Twitter LinkedIn Newsletters Facebook YouTube Instagram Free Trial Events Awards Upcoming events Net Zero Festival 2020 Net Zero Festival 2020 worlds business festival dedicated exploring, advancing, celebrating global transition net zero emission economy.Join BusinessGreens inaugural Net Zero Festival 2020 leaders wont wait 2050 build better business, better world. Date: 30 Sep 2020 The Brewery, London BusinessGreen Leaders Awards 2020 From blue chips startups cutting edge clean tech providers transforming incumbents, Awards honour best UK green business, offering unique opportunity environmental business community join celebrate successes collaborate phase net zero transition. Date: 16 Oct 2020 The Brewery, London View events SDG Hub Business Green Home News Indepth Opinion Energy Policy Management Technology Investment Net Zero Now Newsletters Account details support Sign You currently accessing BusinessGreen Enterprise account. If account use link sign in. If problems access like request individual access account contact customer service team. Phone: 44 0 1858 438800 Email: [emailprotected] Sign Hot topics Green recovery Carfree cities Green Brexit Net zero leadership Supply chain Google backs custom AI oil gas extraction The tar sands Canada region oil majors working tech giants extract fossil fuel. Credit: Dru Oja Jay, Dominion Cecilia Keating 20 May 2020 Tweet Facebook LinkedIn Send 0 Comments A new Greenpeace report notes Microsoft, Amazon Google undermining public carbon commitments providing services allow oil gas firms extract fossil fuels earth. Google revealed longer build custom artificial intelligence AI tools help oil gas firms extract fossil fuels. The company commitment earlier month confirmed yesterday following publication Greenpeace report detailed Microsoft, Google, Amazon AI technologies help oil majors extract oil gas deposits world. Related articles JP Morgan Chase climate shareholder resolution narrowly defeated Bigger better: Siemens Gamesa unveils plans worlds largest wind turbine British supermarkets threaten boycott Brazilian products proposed landgrab law IEA: Global wind solar rollout slow 2020 despite impressive resilience The practice target environmental campaigners argued supporting oil extraction runs counter tech sectors increasingly vocal pledges tackle escalating climate risks pursue net zero emissions goals. A Google spokesperson said: Google Cloud general purpose infrastructure data processing platform, said. We companies industries platform exit data centres run IT systems Cloud. But not, instance, build custom AI ML machine learning algorithms facilitate upstream extraction oil gas industry. Greenpeace applauded new commitment. While Google legacy contracts oil gas firms, welcome indication Google longer build custom solutions upstream oil gas extraction, said Elizabeth Jardim, senior corporate campaigner Greenpeace USA. The Google spokesperson noted Google Cloud took approximately 65m oil gas sector 2019, accounted cent Google Clouds total revenue. As Google Clouds business upstream oil gas tiny fraction bigger picture. Greenpeaces report, titled Oil Cloud: How Tech Companies Helping Big Oil Profit Climate Destruction, cites BloombergNEF statistics estimate overall spend oil gas companies cloud computing advanced analytics set balloon roughly 2.5bn year 15.7bn 2030. These AI services provide critical toolkit fossil fuel companies looking bounce industrys current downturn, Greenpeace warned. Following crash oil prices largely coronavirus crisis squeezing demand time supply glut evident companies turning computing services help maximise returns, report notes. Accenture estimates advanced analytics modelling generate 425bn value oil gas sector 2025. Greenpeace said stark disconnect Google, Amazon, Microsofts public climate goals ongoing business oil gas firms. Despite biggest cloud companies commitments address climate change, Microsoft, Google, Amazon connections worlds dirtiest oil companies explicit purpose getting oil gas ground market faster cheaper, report notes. Greenpeace said tech giants contracts largely focused extraction activities Permian Basin Texas New Mexico, Canadian tar sands, Gulf Mexico, Arctic Atlantic North Sea. Microsoft, boasts ambitious decarbonisation programme pledge carbon negative 2030, contracts oil gas companies, according report, including contract ExxonMobil lead emissions greater 20 cent Microsofts annual carbon footprint. Microsoft truly achieve recently announced carbon negative goal continuing aid oil gas sector exploration production, Greenpeace said. In response findings, Microsoft published blog statement Tuesday emphasised companys commitment carbon negative 2030 remove carbon emitted founding midcentury. We agree world confronts urgent carbon problem faster reach net zero carbon future, Microsoft wrote. The reality worlds energy currently comes fossil fuels and, standards living world improve, world require energy. Amazon, pledged carbon neutral 2040, replied request comment ahead articles publication. Greenpeace urged tech giants publicly distance clients making climate crisis worse called public commitments end problematic contracts. Correction: This article amended reflect fact Googles commitment longer build custom AI tools oil gas early May, yesterday previously suggested. Tweet Facebook LinkedIn Send Topics Supply chain Management Carbon Accounting Amazon Google Microsoft Greenpeace artificial intelligence More Supply chain Management JP Morgan Chase climate shareholder resolution narrowly defeated Management 20 May 2020 Supply chain British supermarkets threaten boycott Brazilian products proposed landgrab law Supply chain 20 May 2020 Supply chain CDP: 24 cent jump corporates calling suppliers beef green efforts Supply chain 20 May 2020 Management To build better Covid19, strong institutions foundational Management 20 May 2020 Politics Government sketches plans energy carbon pricing deal ahead crunch EU trade talks Politics 20 May 2020 BusinessGreen Prophetic action: Christian groups divest fossil fuels lowcarbon Covid19 recovery BusinessGreen 18 May 2020 Recycling Sant: Pernod Ricard pulls forward date phaseout single use pointofsale plastics Recycling 18 May 2020 Management Global Briefing: Norway sovereign wealth fund blacklists coal firms Management 15 May 2020 More news Supply chain Google backs custom AI oil gas extraction A new Greenpeace report notes Microsoft, Amazon Google undermining public carbon commitments providing services allow oil gas firms extract fossil fuels earth. 20 May 2020 Policy How greener homes drive hold key 150,000 postCovid jobs Two major new reports today highlighted relatively modest policy reforms financial innovations turbocharge UK decarbonisation efforts provide thousands construction jobs 20 May 2020 Management JP Morgan Chase climate shareholder resolution narrowly defeated Resolutions narrow defeat 49.6 cent sends clear sign bank investors increasingly displeased approach fossil fuel investment. 20 May 2020 Wind Bigger better: Siemens Gamesa unveils plans worlds largest wind turbine Massive 108 metre long blades set deliver 15MW capacity, delivering power 18,000 homes single turbine 20 May 2020 Please enable JavaScript view comments powered Disqus. blog comments powered Disqus Back Top Us Marketing solutions About isive Media Terms conditions Policies Careers Twitter LinkedIn Newsletters Facebook YouTube Instagram isive Business Media IP Limited, Published isive Business Media Limited, New London House, 172 Drury Lane, London WC2B 5QR, registered England Wales company registration numbers 09177174 09178013 Digital publisher year Digital publisher year 2010, 2013, 2016 2017 | 2,020 | [
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https://mensgear.net/bic-smart-shaver/ | 2020-01-30T00:00:00 | en | The BIC Smart Shaver Uses AI For Better Grooming Experience | Men's Gear | The BIC Smart Shaver Uses AI For Better Grooming Experience | Men's Gear GearRidesTechGadgetsStyleMan foodArchitectureBuyer guidesEntertainment Subscribe GearRidesTechGadgetsStyleMan foodArchitectureBuyer guidesEntertainment Close Search for Men's Gear Search The BIC Smart Shaver Uses AI For Better Grooming Experience Share Tweet Grooming becomes fun and engaging with the BIC Smart Shaver, a wet-shaving tool that does more than it appears. What it may lack in aesthetics it makes up for its high-tech functions.This may look like your typical razor but it actually stores data while you shave for your next grooming session. It remembers your hair density, how much water you used to rinse, and how fast you shave. Furthermore, it captures hair thickness, the number of strokes, and the time spent on shaving.The BIC Smart Shaver also keeps track of the temperature of the water, the razor blade’s sharpness or dullness to determine if it is time to change the blade and the humidity in the room. It collects data that are sent to the cloud where the AI technology analyzes it for your understanding and usage. The A.I helps adjust the speed of the razor to better suit the density of the hair on the face.This razor ensures as close a shave as possible with its five-blade design. It has a battery life of up to two weeks, connects using Bluetooth 4.0, and recharges through a USB-C connection. The razor and its charging base are both water-resistant with the former holding an IP68 rating and the latter an IP64 rating.The BIC Smart Shaver uses a companion app to store the data and to control and manage the razor. The tool itself receives updates through Bluetooth and the app is free to use for both Android and iOS devices. Get It Here Share Tweet Men's Gear Delivered Weekly Subscribe Related Reads Gear Zenith El Primero A384 Revival Watch The Zenith El Primero A384 Revival Watch is a lesson on how to stage a proper comeback. Gear Fortnite X Nerf Blasters Its time to take the fun in video games into real life with the Fortnite X Nerf blaster collection, which fans of all ages will enjoy. Gear CRKT Provoke Knife It’s not for EDC beginners, but the CRKT Provoke Knife proves it’s better to splurge early. Gear Lebron Icon QS In Triple Black It’s no Volt by any stretch of the imagination, but Nike’s Lebron Icon QS In Triple Black looks just as cool. Gear Porsche 911 Writing Desk The Porsche Writing Desk is a table made from authentic Porsche parts, like an Arctic Silver automotive paint and custom American Walnut attachments. Gear The Bobcat Trail Quilt The Bobcat Trail Quilt is a 190z comforter that gives overall warmth and relaxation. It is tear-resistant, waterproof, and packs like a sleeping bag. © 2020 Men's Gear Website by FHOKE AboutContactAdvertisePrivacyCool GadgetsNetflix GearAwards MensGear.net is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. For more information read our affiliate disclosure. | The BIC Smart Shaver Uses AI For Better Grooming Experience | The BIC Smart Shaver Uses AI For Better Grooming Experience Mens Gear GearRidesTechGadgetsStyleMan foodArchitectureBuyer guidesEntertainment GearRidesTechGadgetsStyleMan foodArchitectureBuyer guidesEntertainment Close Mens Gear The BIC Smart Shaver Uses AI For Better Grooming Experience Share Tweet Grooming fun engaging BIC Smart Shaver, wetshaving tool appears. What lack aesthetics makes hightech functions.This look like typical razor actually stores data shave grooming session. It remembers hair density, water rinse, fast shave. Furthermore, captures hair thickness, number strokes, time spent shaving.The BIC Smart Shaver keeps track temperature water, razor blades sharpness dullness determine time change blade humidity room. It collects data sent cloud AI technology analyzes understanding usage. The A.I helps adjust speed razor better suit density hair face.This razor ensures close shave possible fiveblade design. It battery life weeks, connects Bluetooth 4.0, recharges USBC connection. The razor charging base waterresistant holding IP68 rating IP64 rating.The BIC Smart Shaver uses companion app store data control manage razor. The tool receives updates Bluetooth app free use Android iOS devices. Get It Here Share Tweet Mens Gear Delivered Weekly Related Reads Gear Zenith El Primero A384 Revival Watch The Zenith El Primero A384 Revival Watch lesson stage proper comeback. Gear Fortnite X Nerf Blasters Its time fun video games real life Fortnite X Nerf blaster collection, fans ages enjoy. Gear CRKT Provoke Knife Its EDC beginners, CRKT Provoke Knife proves better splurge early. Gear Lebron Icon QS In Triple Black Its Volt stretch imagination, Nikes Lebron Icon QS In Triple Black looks cool. Gear Porsche 911 Writing Desk The Porsche Writing Desk table authentic Porsche parts, like Arctic Silver automotive paint custom American Walnut attachments. Gear The Bobcat Trail Quilt The Bobcat Trail Quilt 190z comforter gives overall warmth relaxation. It tearresistant, waterproof, packs like sleeping bag. 2020 Mens Gear Website FHOKE AboutAdvertisePrivacyCool GadgetsNetflix GearAwards participant Amazon Services LLC Associates Program, affiliate advertising program designed provide means sites earn advertising fees advertising linking . For information read affiliate disclosure. | 2,020 | [
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https://www.latestly.com/entertainment/hollywood/leonardo-dicaprio-birthday-everything-you-need-to-know-about-the-titanic-actors-philanthropic-side-2136276.html | 2020-11-11T00:00:00 | en | Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actor's Philanthropic Side | 🎥 LatestLY |
Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actor's Philanthropic Side | 🎥 LatestLY
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Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actor's Philanthropic Side
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Nov 11, 2020 11:40 AM IST
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Leonardo DiCaprio Birthday (Photo Credits: Facebook)
Actor Leonardo-DiCaprio is more than just Jack from Titanic, even though that was the movie that the whole world knows him through. As good as an actor that Leo is, he is an equally passionate philanthropist who has done tons of good work for the conservation of the environment. In fact, he is also called 'one of the world's top climate change champions', if some reports are to be believed. Leo also has an organization - the Leonardo DiCaprio Foundation that supports more than 50 causes that impact the world and human life in general. World Environment Day 2020: From Leonardo DiCaprio to Mark Ruffalo, Celebs Who Are Helping Mother Nature Heal! (View Posts). The foundation was established in 1998, with its main mission being to protect the world’s last wild places. The main objective of the LDF is to ensure that threatened ecosystems are preserved and Earth is well-maintained. The main areas of focus of the LDF are the preservation of Wildlands Conservation, Oceans Conservation, Climate Change, Indigenous Rights, Transforming California, and Innovative Solutions. Leonardo's philanthropy is not just limited to his foundation. The actor also promotes his initiatives on his social media and website in order to inspire his fans and followers to do their bit to conserve the planet. In fact, his 47 Million followers on Instagram alone can say that all Leo talks about in his personal life is how the environment needs to be conserved. Leo's IG page is filled with not 1 personal photoshoot picture of the actor, but only and only environmental issues and awareness testimonies. As per his foundation's page, his foundation's reach has gone from 500,000 followers in 2007 to over 50 million. Leonardo DiCaprio Shares How the Himalayan Range Is Now Visible From Punjab Due To Less Air Pollution (View Post). Check Out Leo's Speech At the United Nations Below: Leonardo DiCaprio, for his work, was appointed as the United Nations Messenger of Peace for Climate Change and bestowed with the Clinton Global Citizen Award in 2014. In fact, Leonardo, who has been vocal about his work for the environment, in his acceptance speech at the 88th Academy Awards said,
Climate change is real, it is happening right now. It is the most urgent threat facing our entire species, and we need to work collectively together and stop procrastinating. We need to support leaders around the world who do not speak for the big polluters, but who speak for all of humanity, for the indigenous people of the world, for the billions and billions of underprivileged people out there who would be most affected by this. For our children's children, and for those people out there whose voices have been drowned out by the politics of greed. In fact, Leonardo also serves as board member for a number of other organizations that work towards conserving the environment like the International Fund for Animal Welfare, Natural Resources Defense Council, World Wildlife Fund, Oceans 5 and National Geographic’s Pristine Seas. (The above story first appeared on LatestLY on Nov 11, 2020 11:40 AM IST. For more news and updates on politics, world, sports, entertainment and lifestyle, log on to our website latestly.com).
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Govatsa Dwadashi 2020 Diwali Rangoli Designs: Latest & Easy Colourful Rangoli Patterns With Cows and Calves Images to Brighten Your House During the Auspicious Festival (Watch Videos)PM Narendra Modi Hails Successful Conduct of Bihar Elections 2020, Lauds EC, Security Forces and Administration: Live Breaking News Headlines Updates on November 11, 2020An Indomitable Spirit: Story of a 25-Year-Old Who Defeated COVID-19 Despite an End-Stage Renal Failure and Underwent a Successful Kidney TransplantationBarcelona Takes a Sly Jibe at Cristiano Ronaldo, Sparks Lionel Messi vs CR7 Debate Among Fans as They Remind Catalans About Number of UCL Wins by Juventus Star (Read Tweets)Domestic Flight in India Allowed to Increase Operations From Existing to 60% to 70% of Pre-COVID Levels, Says Hardeep Singh Puri[Exclusive] Fatima Sana Shaikh Unfazed by Being Replaced From Bhoot Police, Says 'Until the Shoot Begins, Don't Think You Have a Film' (Watch Video) Read More
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[Exclusive] Fatima Sana Shaikh Unfazed by Being Replaced From Bhoot Police, Says 'Until the Shoot Begins, Don't Think You Have a Film' (Watch Video) Cardi B Apologises for Her Goddess Durga Look From Reebok’s Shoot, Says ‘Did Not Mean to Offend Anyone’s Culture’ Before Cardi B, These Celebs From the West Received Flak For Posing As Indian Goddesses (View Pics) Bineesh Kodiyeri, Son of CPM State Secretary, Sent to Judicial Custody for 14 Days in Drug Case
| Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actor's Philanthropic Side | Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actors Philanthropic Side LatestLY Live Breaking News: PM Narendra Modi Hails Successful Conduct Bihar Elections 2020, Lauds EC, Security Forces Administration: Live Breaking News Headlines Updates November 11, 2020 English Wednesday, November 11, 2020 Latest Stories 5 minutes ago Govatsa Dwadashi 2020 Diwali Rangoli Designs: Latest Easy Colourful Rangoli Patterns With Cows Calves Images Brighten Your House During Auspicious Festival Watch Videos PM Narendra Modi Hails Successful Conduct Bihar Elections 2020, Lauds EC, Security Forces Administration: Live Breaking News Headlines Updates November 11, 2020 An Indomitable Spirit: Story 25YearOld Who Defeated COVID19 Despite EndStage Renal Failure Underwent Successful Kidney Transplantation Barcelona Takes Sly Jibe Cristiano Ronaldo, Sparks Lionel Messi vs CR7 Debate Among Fans They Remind Catalans About Number UCL Wins Juventus Star Read Tweets Domestic Flight India Allowed rease Operations From Existing 60 70 PreCOVID Levels, Says Hardeep Singh Puri [Exclusive] Fatima Sana Shaikh Unfazed Being Replaced From Bhoot Police, Says Until Shoot Begins, Dont Think You Have Film Watch Video Impromptu Shrine Water Stain Shape Virgin Mary Appears Bakery Car Park Columbia, Worshippers Pray End COVID19 Cardi B Apologises Her Goddess Durga Look From Reeboks Shoot, Says Did Not Mean Offend Anyones Culture Before Cardi B, These Celebs From West Received Flak For Posing As Indian Goddesses View Pics Bihar Exit Polls Proved Wrong, AxisMy India Apologises Inaccurate Election Result Predictions Toggle Navigation Quickly India Politics Information Education News World Technology Science Auto Sports Cricket Football Tennis Badminton Kabaddi Entertainment Bollywood Hollywood TV South Lifestyle Food Travel Fashion Health Wellness Relationships Viral Fact Check Photos Videos Festivals Events Elections Headlines Quickly Govatsa Dwadashi 2020 Diwali: Colourful Rangoli Patterns With Cows Calves Images Watch Videos An Indomitable Spirit: Story Driver Who Defeated COVID19 Had Kidney Transplantation BJP Became Elder Brother Climbing Nitish Kumars Ladder, Says Uma Bharti Barcelona Takes Sly Jibe Cristiano Ronaldo, Sparks Lionel Messi vs CR7 Debate Among Fans Domestic Flight India Allowed rease Operations 70 PreCOVID Levels, SaysHSPuri India PM Narendra Modi Hails Successful Conduct Bihar Elections 2020, Lauds EC, Security Forces Administration: Live Breaking News Headlines Updates November 11, 2020 Domestic Flight India Allowed rease Operations From Existing 60 70 PreCOVID Levels, Says Hardeep Singh Puri Bihar Exit Polls Proved Wrong, AxisMy India Apologises Inaccurate Election Result Predictions West Bengal Not Hold Class 10th, 12th Prelims; Students Directly Appear For 2021 Board Exams: Reports Pune Witnesses Winter Chills As Mercury Dips 11.3 Degrees Celsius, City Becomes Cooler Than Mahabaleshwar World Sputnik V Vaccine 92 Effective Against Coronavius, Claims Russia Khalifa bin Salman Al Khalifa Dies 84; All You Need Know About Bahrains LongestServing Prime Minister Pfizer COVID19 Vaccine: WHO Chief Tedros Adhanom Calls For Fair Allocation Khalifa bin Salman Al Khalifa, Bahrains LongServing Prime Minister, Dies Age 84 Pakistan: ThreeWheeler Fell Canal While Returning Wedding Party, 20 People Killed Technology Realme X7 Pro MediaTek 5G Dimensity SoC Be Launched India Soon: Report Samsung Rotating TV Sero 43h Launched India; Check Price Here Apple MacBook Air With M1 Silicon Chip Launched India From Rs 92,900 Vivo V20 SE Aquamarine Green Colour Variant Launched India Rs 20,999 TikTok Files Petition Challenging Donald Trump Administrations Divestiture Order Set Take Effect On Thursday Auto Cannerald Shows With Its Unique CannerGrow Concept That Cannabis Is Substantial Profitable FutureMarket Tata Harrier CAMO Edition Launched India Rs 16.50 Lakh; 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Know Date, Significance Interesting Things About Indias Own Halloween Celebrated During Diwali West Bengal Dhanteras 2020 Foods Good Luck: 6 Dishes Cook Dhanatrayodashi Celebrate Auspicious Occasion Diwali Vasu Baras 2020 Photos HD Wallpapers Free Download Online: Wish Happy Govatsa Dwadashi With WhatsApp Messages, Images Facebook Greetings Happy Diwali 2020 Advance Images HD Wallpapers For Free Download Online: Send Lakshmi Puja GIF Greetings, SMS, WhatsApp Stickers, Messages Quotes Send Family Friends Videos Happy Diwali 2020 Advance Greetings: WhatsApp Messages, Laxmi Pujan Pics Wish Family, Friends Bihar Election Results 2020 Reactions: PM Narendra Modi Thanks Voters, Says Voters Priority Is Only Development; Amit Shah Says Politics Of Casteism, Appeasement Defeated Bigg Boss 14 Episode 29 Sneak Peek 01 Nov 11 2020: Shaan, DJ Chetas Entertain The Housemates PM Narendra Modis Stern Message To China, Pakistan, Says Respect Territorial Integrity At SCO Meet Attended By Xi Jinping Imran Khan Bihar Election Results 2020: Tej Pratap Yadav, Jitan Ram Manjhi, Alok Ranjan, Akhtarul Iman Among Five Key Winners Elections Live Updates Total: 243 243 Bihar Assembly Election 2020 RJD BJP JDU Others INC LJP Total Seats 75 74 43 31 19 1 243 243 HomeEntertainmentHollywood Leonardo DiCaprio Birthday: Everything You Need To Know About The Titanic Actors Philanthropic Side Hollywood Team Latestly Nov 11, 2020 11:40 AM IST A A Leonardo DiCaprio Birthday Photo Credits: Facebook Actor LeonardoDiCaprio Jack Titanic, movie world knows through. As good actor Leo is, equally passionate philanthropist tons good work conservation environment. In fact, called worlds climate change champions, reports believed. Leo organization Leonardo DiCaprio Foundation supports 50 causes impact world human life general.World Environment Day 2020: From Leonardo DiCaprio Mark Ruffalo, Celebs Who Are Helping Mother Nature Heal View Posts. The foundation established 1998, main mission protect worlds wild places. The main objective LDF ensure threatened ecosystems preserved Earth wellmaintained. The main areas focus LDF preservation Wildlands Conservation, Oceans Conservation, Climate Change, Indigenous Rights, Transforming California, Innovative Solutions. Leonardos philanthropy limited foundation. The actor promotes initiatives social media website order inspire fans followers bit conserve planet. In fact, 47 Million followers Instagram Leo talks personal life environment needs conserved. Leos IG filled 1 personal photoshoot picture actor, environmental issues awareness testimonies. As foundations , foundations reach gone 500,000 followers 2007 50 million.Leonardo DiCaprio Shares How Himalayan Range Is Now Visible From Punjab Due To Less Air Pollution View Post. Check Out Leos Speech At United Nations Below: Leonardo DiCaprio, work, appointed United Nations Messenger Peace Climate Change bestowed Clinton Global Citizen Award 2014. In fact, Leonardo, vocal work environment, acceptance speech 88th Academy Awards said, Climate change real, happening right now. It urgent threat facing entire species, need work collectively stop procrastinating. We need support leaders world speak big polluters, speak humanity, indigenous people world, billions billions underprivileged people affected this. For childrens children, people voices drowned politics greed. In fact, Leonardo serves board member number organizations work conserving environment like International Fund Animal Welfare, Natural Resources Defense Council, World Wildlife Fund, Oceans 5 National Geographics Pristine Seas. The story appeared LatestLY Nov 11, 2020 11:40 AM IST. For news updates politics, world, sports, entertainment lifestyle, log website . Comments Tags: 88th Academy Awards Clinton Global Citizen Award Happy Birthday Leonardo DiCaprio International Fund Animal Welfare Leonardo DiCaprio Leonardo DiCaprio United Nations Leonardo DiCaprio birthday Leonardo DiCaprio Birthday Special Leonardo DiCaprio Foundation Leonardo DiCaprio Happy Birthday Leonardo DiCaprio Instagram National Geographics Pristine Seas Natural Resources Defense Council Oceans 5 Titanic United Nations Messenger Peace Climate Change World Wildlife Fund Comments You like Hollywood Leonardo DiCaprio Trends Indian Twitter Fans Cant Stop Talking About Actor His Birthday Hollywood Leonardo Dicaprio Birthday: 10 Movie Quotes Actor That Are Pure Gold Fashion Leonardo DiCaprio Birthday: His Filmography Unconventional But His Wardrobe Conventional Yet Charming View Pics News Ajoy Chawla, CEO Titan Companys Jewellery Division, Found Guilty Insider Trading SEBI Entertainment Kate Winslet Birthday Special: Five Movies Of The Academy Award Winning Actress You Must Watch Apart From Titanic Hollywood Robert De Niro Birthday Special: 7 Underrated Films The Actor Par Excellence That You Need Check Out Right Now Technology Amazon Prime Day Sale 2020 Begin India From August 6; Check New Launches, Deals Exciting Offers Hollywood 10 Years Of eption: Production Designer Weighs In On The Ambiguous Ending, Says It Was A Big Debate In The Dailies Trending Latest News Indias COVID19 Tally Jumps 86.36 Lakh With 44,281 New Cases Reported Past 24 HoursTikTok Files Petition Challenging Donald Trump Administrations Divestiture Order Set Take Effect On ThursdayMadhya Pradesh Bypoll Results 2020: BJP Wins 19 Seats, Congress Bags 9 ByeElections Held 28 Assembly SeatsUS Reports 2,00,000 COVID19 Cases Past 24 Hours, Highest So Far; Coronavirus Death Toll Mounts 2,01,961Sachin Tendulkar Congratulates Mumbai Indians Record Fifth IPL Title, Calls Performance IPL 2020 Complete Domination See PostLaxmii: Akshay Kumars HorrorComedy Breaks Record, Gets Biggest Ever Opening DisneyHotstar As Claimed OTT Platform Govatsa Dwadashi 2020 Diwali Rangoli Designs: Latest Easy Colourful Rangoli Patterns With Cows Calves Images Brighten Your House During Auspicious Festival Watch VideosPM Narendra Modi Hails Successful Conduct Bihar Elections 2020, Lauds EC, Security Forces Administration: Live Breaking News Headlines Updates November 11, 2020An Indomitable Spirit: Story 25YearOld Who Defeated COVID19 Despite EndStage Renal Failure Underwent Successful Kidney TransplantationBarcelona Takes Sly Jibe Cristiano Ronaldo, Sparks Lionel Messi vs CR7 Debate Among Fans They Remind Catalans About Number UCL Wins Juventus Star Read TweetsDomestic Flight India Allowed rease Operations From Existing 60 70 PreCOVID Levels, Says Hardeep Singh Puri[Exclusive] Fatima Sana Shaikh Unfazed Being Replaced From Bhoot Police, Says Until Shoot Begins, Dont Think You Have Film Watch Video Read More Live Blog Timeline 19:50 PM PM Narendra Modi Hails Successful Conduct Polls Bihar, Lauds EC, Security Forces Administration 19:45 PM PM Modi Congratulate Every NDA Worker As Well Their Families Success Bihar Assembly Elections 2020 19:38 PM PM Narendra Modi Addresses Party Workers BJP Headquarters Delhi After NDA Wins Bihar Elections 19:32 PM BJP President JP Nadda Addreses Party Workers After NDAs Wins Bihar Election; Says It Been A Big Defining Period Party Headquarters Delhi view All fuel forex City Petrol Diesel New Delhi 81.06 70.46 Kolkata 82.59 73.99 Mumbai 87.74 76.86 Chennai 84.23 76.03 View Company Price Change Value Axis Banks 1050.00 50.00 533.00 Reliance 1050.00 33.00 533.00 Samsung 1050.00 33.00 533.00 Currency Price Change USD 74.7500 0.06 EUR 87.7125 0.45 Cricket Updates Australia vs New Zealand ODI 1st ODI Mar, 13 2020 09:00 IST Australia beat New Zealand 71 runs ChappellHadlee Trophy, 2020 India vs South Africa ODI 1st ODI Mar, 12 2020 13:30 IST Match Abandoned South Africa India, 3 ODI Series, 2020 Bangladesh vs Zimbabwe T20 2nd T20I Mar, 11 2020 17:30 IST Bangladesh beat Zimbabwe 9 wickets Zimbabwe Bangladesh 2 T20I Series, 2020 Afghanistan vs Ireland T20 3rd T20I Mar, 10 2020 14:00 IST Ireland tied Afghanistan Ireland win Super Over 1 wicket Afghanistan Ireland India, 3 T20I Series, 2020 Editors Choice IPL 2020 Points Table Final Update: SRH Joins MI, DC RCB Playoffs; KKR Knocked Out October 2020 Festivals, Events Holiday Calendar: Sharad Navratri, Gandhi Jayanti, World Teachers Day, Dussehra, Durga Puja; Know All Important Dates List Fasts Month India Reports 55,722 Coronavirus Cases, Over 65,000 Recoveries Past 24 Hours, COVID19 Tally Goes Past 75 Lakh Did Muslim Students Shoaib Aftab, Yasir Hameed, Sana Mir Others Secure Top 5 Ranks NEET 2020 Merit List? Check Truth Behind Fake Tweet Going Viral Bada Business News Production Linked entives Scheme: Govt Approves PLI Scheme For 10 Sectors; Heres What PLI Scheme How Works 3 Social Media Strategies Which Small Firms Can Use Revive Their Business Amid COVID19 Outbreak Start Small Seasonal Business This Winter With Investment As Low As Rs 50,000 4 Most Popular Business Models That Can Work Wonders For Startups Restaurant Startup: Does Really Burn A Hole In Your Pocket? Affordable And Viable Business Ideas That Can Be Easily Executed In India Football Matches Paris SaintGermain F.C. vs Borussia Dortmund Match 198 Mar, 13 2020 01:30 IST Paris SaintGermain beat Borussia Dortmund 2 0 International Clubs UEFA Champions League 1920 Liverpool vs Atltico Madrid Match 199 Mar, 13 2020 01:30 IST Atletico Madrid beat Liverpool FC 3 2 International Clubs UEFA Champions League 1920 Manchester City vs Arsenal Match 293 Mar, 13 2020 01:00 IST England Premier League 1920 Valencia vs Atalanta Match 196 Mar, 12 2020 01:30 IST Atalanta Bergamasca Calcio beat CF Valencia 4 3 International Clubs UEFA Champions League 1920 Trending Topics Coronavirus Live Map India IPL 2020CoronavirusNarendra ModiCoronavirus IndiaIPL 2020 ScheduleSharad PawarIPL 2020 Teams SquadKangana RanautExam ResultBJPAadhaar CardVirat KohliRahul Gandhi India Politics Information Education News Elections Entertainment Bollywood Hollywood TV South Sports Cricket Football Kabaddi Tennis Badminton Lifestyle Food Travel Fashion Health Wellness Festivals Events Headlines Authors Fact Check Science Agency News World Technology Auto Viral Photos Videos Terms Of Use Us . [Exclusive] Fatima Sana Shaikh Unfazed Being Replaced From Bhoot Police, Says Until Shoot Begins, Dont Think You Have Film Watch VideoCardi B Apologises Her Goddess Durga Look From Reeboks Shoot, Says Did Not Mean Offend Anyones CultureBefore Cardi B, These Celebs From West Received Flak For Posing As Indian Goddesses View PicsBineesh Kodiyeri, Son CPM State Secretary, Sent Judicial Custody 14 Days Drug Case | 2,020 | [
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https://www.thestreet.com/press-releases/avicenna-s-stroke-detection-ai-tool-approved-for-medicare-ntap-15498526 | 2020-11-24T00:00:00 | en | Avicenna's Stroke Detection AI Tool Approved For Medicare NTAP - TheStreet | Avicenna's Stroke Detection AI Tool Approved For Medicare NTAP - TheStreet
Log InReceive full access to our market insights, commentary, newsletters, breaking news alerts, and more.Forgot your password?Log InDon't have an account? Sign Up HereJoin UsReceive full access to our market insights, commentary, newsletters, breaking news alerts, and more.I agree to TheMaven'sTerms andPolicySign UpAlready have an account? Login here
JIM CRAMERINVESTINGPERSONAL FINANCERETIREMENTTECHNOLOGYMARKETSHOW-TOVIDEOFINANCIAL ADVISOR CENTERSearch
Avicenna's Stroke Detection AI Tool Approved For Medicare NTAPCINA Head's LVO detection capability qualifies for new technology add-on paymentAuthor:PR NewswirePublish date:Nov 24, 2020 8:00 AM EST PARIS, Nov. 24, 2020 /PRNewswire/ -- Medical imaging AI specialist Avicenna.AI today announced that its CINA Head software qualifies for the new technology add-on payment (NTAP) recently approved by the Centers for Medicare & Medicaid Services (CMS).
The NTAP is available for radiological computer-assisted triage and notification software systems like CINA Head, which analyze computed tomography angiogram (CTA) images of the brain acquired in acute settings, and urgently notifies clinical team members when a suspected large vessel occlusion (LVO) has been identified to reduce time to treatment.
Dr Peter Chang, radiologist and co-founder of Avicenna.AI, said, "AI-enabled CT stroke triage, specifically with LVO detection, is the first deep learning tool to receive the CMS NTAP designation and is eligible for up to $1040 of reimbursement. CMS only grants NTAP designation to promote the adoption of new technology that provides substantial clinical improvement over standard of care. This will help accelerate the innovation and adoption of deep learning technology by aligning the incentives of both software developers and clinical providers."
In addition to LVO detection, Avicenna's FDA-approved CINA Head triage AI solution for neurovascular emergencies also detects intracranial hemorrhages (ICHs). Using a combination of deep learning and machine learning technologies, CINA Head automatically detects and prioritizes acute ICH and LVO cases from CT-scan imaging within 20 seconds, seamlessly alerting the radiologist within their existing systems and workflow.
About Avicenna.AI
Founded in 2018, Avicenna.AI develops medical imaging AI solutions for various radiology applications. The company uses artificial intelligence and deep learning to optimize many of a radiologist's manual tasks. Its first product, CINA Head, is an FDA-approved triage AI solution for neurovascular emergencies. Avicenna.AI is co-founded by Cyril Di Grandi, who previously co-founded and successfully sold Olea Medical, and Dr Peter Chang, a radiologist and internationally recognized expert in AI and deep learning. www.avicenna.ai
View original content: http://www.prnewswire.com/news-releases/avicennas-stroke-detection-ai-tool-approved-for-medicare-ntap-301179584.html
SOURCE Avicenna.AI By PR NewswireTerms Of UsePrivacy PolicyAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions© 2020 TheStreet, Inc. All rights reserved. Action Alerts PLUS is a registered trademark of TheStreet, Inc. | Avicenna's Stroke Detection AI Tool Approved For Medicare NTAP | Avicennas Stroke Detection AI Tool Approved For Medicare NTAP TheStreet Log InReceive access market insights, commentary, newsletters, breaking news alerts, more.Forgot password?Log InDont account? Sign Up HereJoin UsReceive access market insights, commentary, newsletters, breaking news alerts, more.I agree TheMavensTerms andPolicySign UpAlready account? JIM CRAMERINVESTINGPERSONAL FINANCERETIREMENTTECHNOLOGYMARKETSHOWTOVIDEOFINANCIAL ADVISOR CENTER Avicennas Stroke Detection AI Tool Approved For Medicare NTAPCINA Heads LVO detection capability qualifies new technology addon paymentAuthor:PR NewswirePublish date:Nov 24, 2020 8:00 AM EST PARIS, Nov. 24, 2020 PRNewswire Medical imaging AI specialist Avicenna.AI today announced CINA Head software qualifies new technology addon payment NTAP recently approved Centers Medicare Medicaid Services CMS. The NTAP available radiological computerassisted triage notification software systems like CINA Head, analyze computed tomography angiogram CTA images brain acquired acute settings, urgently notifies clinical team members suspected large vessel occlusion LVO identified reduce time treatment. Dr Peter Chang, radiologist cofounder Avicenna.AI, said, AIenabled CT stroke triage, specifically LVO detection, deep learning tool receive CMS NTAP designation eligible 1040 reimbursement. CMS grants NTAP designation promote adoption new technology provides substantial clinical improvement standard care. This help accelerate innovation adoption deep learning technology aligning incentives software developers clinical providers. In addition LVO detection, Avicennas FDAapproved CINA Head triage AI solution neurovascular emergencies detects intracranial hemorrhages ICHs. Using combination deep learning machine learning technologies, CINA Head automatically detects prioritizes acute ICH LVO cases CTscan imaging 20 seconds, seamlessly alerting radiologist existing systems workflow. About Avicenna.AI Founded 2018, Avicenna.AI develops medical imaging AI solutions radiology applications. The company uses artificial intelligence deep learning optimize radiologists manual tasks. Its product, CINA Head, FDAapproved triage AI solution neurovascular emergencies. Avicenna.AI cofounded Cyril Di Grandi, previously cofounded successfully sold Olea Medical, Dr Peter Chang, radiologist internationally recognized expert AI deep learning. View original content: SOURCE Avicenna.AI By PR NewswireTerms Of UseAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions 2020 TheStreet, . . Action Alerts PLUS registered trademark TheStreet, . | 2,020 | [
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https://www.forbes.com/sites/davidteich/2020/02/18/artificial-intelligence-ai-and-the-law-helping-lawyers-while-avoiding-biased-algorithms/ | 2020-02-19T00:00:00 | en | Artificial Intelligence (AI) And The Law: Helping Lawyers While Avoiding Biased Algorithms | Artificial Intelligence (AI) And The Law: Helping Lawyers While Avoiding Biased Algorithms
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Artificial Intelligence (AI) And The Law: Helping Lawyers While Avoiding Biased Algorithms
David A. Teich
Senior Contributor
Opinions expressed by Forbes Contributors are their own.
AI
B2B technology analyst, marketer, and consultant
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©Sergey Tarasov - stock.adobe.com
Artificial intelligence (AI) has the potential to help every sector of the economy. There is a challenge, though, in sectors that have fuzzier analysis and the potential to train with data that can continue human biases. A couple of years ago, I described the problem with bias in an article about machine learning (ML) applied to criminal recidivism. It’s worth revisiting the sector as time have changed in how bias is addressed. One way is to look at sectors in the legal profession where bias is a much smaller factor.
Tax law has a lot more explicit rules than, for instance, do many criminal laws. As much as there have been issues with ML applied to human resource systems (Amazon’s canceled HR system), employment law is another area where states and nations have created explicit rules. The key in choosing the right legal area. What seems to be the focus, according to conversations with people at Blue J Legal, is the to focus on areas with strong rules as opposed to standards. The former provide the ability to have clear feature engineering while that later don’t have the specificity to train an accurate model.”
Blue J Legal arose from a University of Toronto course started by the founders, combining legal and computer science skills to try to predict cases. The challenge was, as it has always been in software, to understand the features of the data set in the detail needed to properly analyze the problem. As mentioned, the choice of the tax system was picked for the first focus. Tax law has a significant set of rules that can be designed. The data can then be appropriately labeled. After their early work on tax, they moved to employment.
The products are aimed at lawyers who are evaluating their cases. The goal is to provide the attorneys statistical analysis about the strength and weaknesses of each case.
The Feature Engineering Challenge
It is important to note that “employment” is a category of legal issues. Each issue must be looked at separately, and each issue has its own set of features. For instance, in today’s gig economy, “Is the worker a contractor or an employee?” is a single issue. The Blue J Legal team mentioned that they found between twenty and seventy features for each issue they’ve addressed.
That makes clear that feature engineering is a larger challenge than is the training of the ML system. That has been mentioned by many people but still too many folks have focused on the inference engine because it’s cool. Turning data into information is a more critical part of the ML challenge.
Once the system is trained, the next challenge is to get the lawyers to provide the right information in order to analyze their current cases. They must enter (or their clerks must enter…) information about each case that match the features to be analyzed.
On a slightly technical note, their model uses decision trees. They did try the Random Forest model, of interest in other fields, but found their accuracy dropped.
Blue J Legal claims their early version provides 80-90% accuracy.
Removing Bias: A Plus And A Minus
By removing variables that can drive bias, such as male v female, they are able to train a more general system. That’s good from a pure law point of view, but unlike the parole system mentioned above, that could cause problems in a lawyer’s analysis of a problem. For instance, if a minority candidate is treated more poorly in the legal system, a lawyer should know about that. The Blue J Legal team says they did look at bias, both in their Canadian and USA legal data, but state that the two areas they are addressing don’t see bias that would change the results in a significant way.
One area of bias they’ve also ignored is that of judges, for the same reason as above. I’m sure it’s also ignored for marketing reasons. As they move to legal areas with fewer rules and more standards, I could see a strong value for lawyers in knowing if the judge to whom the case has been assigned has strong biases based on features of the case or the plaintiff. Still, if they analyzed the judges, I could see other bias being added as judges might be biased against lawyers using the system. It’s an interesting conundrum that will have to be addressed in the future.
How The System Should Be Used By Lawyers
There is a clear ethical challenge in front of lawyers that exists regardless of bias. For instance, if the system comes back and tells the lawyer that 70% of cases that are similar go against the plaintiff, should the lawyer take the case? Law is a fluid profession with many cases being similar but not identical. How does the lawyer decide if the specific client is in the 70% or the 30%? How can a system provide information help a lawyer decide to take a case with lower probability or reject one with a higher probability? The hope is, as with any other profession, that the lawyer would carefully evaluate the results. However, as in all industries, busy people take shortcuts and far too many people have taken the old acronym of GIGO to no longer mean “garbage in, garbage out,” but rather “garbage in, gospel out.”
One way to help is to provide a legal memo. The Blue J Legal system provides a list of lawyer provided answers and similar cases for each answer. Not being a lawyer, I can’t tell how well that has been done, but it is a critical part of the system. Just as too many developers focus on the engine rather than feature engineering, they focus on the engine while minimizing the need to explain the engine. In all areas where machine learning is applied, but especially in professions, black box systems can’t be trusted. Analysis must be supported in order for lawyers to understand and evaluate how the generic decision impacts their specific cases.
Law is an interesting avenue in which to test the integration between AI and people. Automation won’t be replacing the lawyer any time soon, but as AI evolves it will be able to increasingly assist the people in the industry, to become more educated about their options and to use their time more efficiently. It’s the balance between the two that will be interesting to watch.
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David A. Teich is interested in artificial intelligence (AI), machine learning (ML), robotics, and other advances technologies, focused on how they help businesses im...
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Teich Senior Contributor Opinions expressed Forbes Contributors own. AI B2B technology analyst, marketer, consultant Share facebook Share twitter Share linkedin Sergey Tarasov stock. Artificial intelligence AI potential help sector economy. There challenge, though, sectors fuzzier analysis potential train data continue human biases. A couple years ago, I described problem bias article machine learning ML applied criminal recidivism. Its worth revisiting sector time changed bias addressed. One way look sectors legal profession bias smaller factor. Tax law lot explicit rules than, instance, criminal laws. As issues ML applied human resource systems Amazons canceled HR system, employment law area states nations created explicit rules. The key choosing right legal area. What focus, according conversations people Blue J Legal, focus areas strong rules opposed standards. The provide ability clear feature engineering later dont specificity train accurate model. Blue J Legal arose University Toronto course started founders, combining legal science skills try predict cases. The challenge was, software, understand features data set needed properly analyze problem. As mentioned, choice tax picked focus. Tax law significant set rules designed. The data appropriately labeled. After early work tax, moved employment. The products aimed lawyers evaluating cases. The goal provide attorneys statistical analysis strength weaknesses case. The Feature Engineering Challenge It important note employment category legal issues. Each issue looked separately, issue set features. For instance, todays gig economy, Is worker contractor employee? single issue. The Blue J Legal team mentioned seventy features issue theyve addressed. That makes clear feature engineering larger challenge training ML system. That mentioned people folks focused inference engine cool. Turning data information critical ML challenge. Once trained, challenge lawyers provide right information order analyze current cases. They enter clerks enter information case match features analyzed. On slightly technical note, model uses decision trees. They try Random Forest model, fields, accuracy dropped. Blue J Legal claims early version provides 8090 accuracy. Removing Bias: A Plus And A Minus By removing variables drive bias, male v female, able train general system. Thats good pure law point view, unlike parole mentioned above, cause problems lawyers analysis problem. For instance, minority candidate treated poorly legal system, lawyer know that. The Blue J Legal team says look bias, Canadian USA legal data, state areas addressing dont bias change results significant way. One area bias theyve ignored judges, reason above. Im sure ignored marketing reasons. As legal areas fewer rules standards, I strong value lawyers knowing judge case assigned strong biases based features case plaintiff. Still, analyzed judges, I bias added judges biased lawyers system. Its interesting conundrum addressed future. How The System Should Be Used By Lawyers There clear ethical challenge lawyers exists regardless bias. For instance, comes tells lawyer 70 cases similar plaintiff, lawyer case? Law fluid profession cases similar identical. How lawyer decide specific client 70 30? How provide information help lawyer decide case lower probability reject higher probability? The hope is, profession, lawyer carefully evaluate results. However, industries, busy people shortcuts far people taken old acronym GIGO longer mean garbage in, garbage out, garbage in, gospel out. One way help provide legal memo. The Blue J Legal provides list lawyer provided answers similar cases answer. Not lawyer, I tell done, critical system. Just developers focus engine feature engineering, focus engine minimizing need explain engine. In areas machine learning applied, especially professions, black box systems trusted. Analysis supported order lawyers understand evaluate generic decision impacts specific cases. Law interesting avenue test integration AI people. Automation wont replacing lawyer time soon, AI evolves able increasingly assist people industry, educated options use time efficiently. Its balance interesting watch. Follow Twitter LinkedIn. Check website. David A. Teich David A. Teich interested artificial intelligence AI, machine learning ML, robotics, advances technologies, focused help businesses im... Read More Print Site Feedback Tips Corrections Reprints Permissions Terms Privacy 2020 Forbes Media LLC. . AdChoices | 2,020 | [
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] | 1 | POSITIVE | 492 |
https://bizwatchnigeria.ng/scientists-develop-ai-programme-which-detects-breast-cancer-better-than-experts/ | 2020-01-02T00:00:00 | en | Scientists Develop AI Programme which Detects Breast Cancer Better than Experts | BizWatchNigeria.Ng | Scientists Develop AI Programme which Detects Breast Cancer Better than Experts | BizWatchNigeria.Ng HOME SECTORS Sectors AUTOMOBILE AVIATION AGRIC BUSINESS BANKING & FINANCE BUSINESS & ECONOMY CHEMICAL & PETRO-CHEMICAL EDUCATION & TRAINING Sectors ENTERTAINMENT & THE ARTS INSURANCE & PENSIONS IT/TELECOM LABOUR LEGAL LIFESTYLE MANUFACTURING Sectors MARKETING AND MARKETING COMMUNICATION MEDIA MEDICAL & HEALTHCARE OIL & GAS POLITICS & GOVERNMENT POWER & ENERGY REAL ESTATE & CONSTRUCTION Sectors RETAIL SCIENCE AND TECHNOLOGY SHIPPING & PORT SERVICES SOCIETY SPORTS TOURISM & HOSPITALITY TRANSPORT & LOGISTICS FEATURES Protein Deficiency: A Hazard To Healthy Living Tips on Financial Missteps to Avoid in Marriage Home Decor Tips for Small Home Spaces Trade War: China Wants Trump Re-elected in 2020 for its Economic Agenda – Here’s Why Tips on How to Make Your Manicure Last Longer BEST DEALS Online Shoppers Skip Sleep as Konga Yakata Begins Black Friday: Jumia to Attract a Surge of New Shoppers to Further Deepen e-commerce Access Jumia Mobile Week! Check out the Amazing Discounts on Your Favourite Smartphones Jumia to Give Discount on 4 million Products in 6th Black Friday Promotional Sales Auctioning of Unclaimed Properties VIEWPOINT Financial Inclusion and The Rise of Electronic Payment ALTON: Advocate or Antagonist Much Ado About Cybersecurity USSD Charge: To be or not to be? Ministry of Communications and Digital Economy: Beyond the Nomenclature INTERVIEWS VIDEOS HOW-TOs MUSTARD SEED SERIES ADVERT RATES Advert Rates – Nigeria Naira Advert Rates – USD ABOUT US CONTACT MenuHOMESECTORSSectorsAUTOMOBILEAVIATIONAGRIC BUSINESSBANKING & FINANCEBUSINESS & ECONOMYCHEMICAL & PETRO-CHEMICALEDUCATION & TRAININGSectorsENTERTAINMENT & THE ARTSINSURANCE & PENSIONSIT/TELECOMLABOURLEGALLIFESTYLEMANUFACTURINGSectorsMARKETING AND MARKETING COMMUNICATIONMEDIAMEDICAL & HEALTHCAREOIL & GASPOLITICS & GOVERNMENTPOWER & ENERGYREAL ESTATE & CONSTRUCTIONSectorsRETAILSCIENCE AND TECHNOLOGYSHIPPING & PORT SERVICESSOCIETYSPORTSTOURISM & HOSPITALITYTRANSPORT & LOGISTICSFEATURESBEST DEALSVIEWPOINTINTERVIEWSVIDEOSHOW-TOsMUSTARD SEED SERIESADVERT RATESAdvert Rates – Nigeria NairaAdvert Rates – USDABOUT USCONTACTAgric Business |Automobile |Aviation |Banking & Finance |Business & Economy |Chemical & Petro-Chemical |Education & Training |Entertainment & The Arts |Food & Nutrition |Insurance & Pensions |International |IT/Telecom |Labour |Legal |Lifestyle |Manufacturing |Marketing and Marketing Communication |Media |Medical & Healthcare |Oil & Gas |Politics & Government |Power & Energy |Real Estate & Construction |Science and Technology |Shipping & Port Services |Society |Sports |Tourism, Travel & Hospitality |Transport & Logistics | Breaking News Scientists Develop AI Programme which Detects Breast Cancer Better than ExpertsArsenal Secures Win against Manchester United at Emirates StadiumVitafoam Nigeria Declares N2.38 billion PAT for 2019US-owned Businesses in Nigeria Created 3 million Jobs in One year – ABCNigeria’s Foreign Reserves Drops by $4.45 billion to $38.61 billion – CBNFirst Bank Employee Led Abuja Branch Robbery Suspect AllegesFG Directs DisCos to End Cash Payment from Customers by March 31EFCC Hands over Recovered Property to National Directorate of EmploymentNigerian Navy Seizes N15.5 million Worth of Petroleum ProductsNAFDAC Destroys Substandard Products Valued at N1.32 billion 2020-01-02BWN HomeMEDICAL & HEALTHCARE Scientists Develop AI Programme which Detects Breast Cancer Better than ExpertsScientists Develop AI Programme which Detects Breast Cancer Better than Experts By BWN - January 2, 2020 - in MEDICAL & HEALTHCARE, NEWSLETTER 1 0 An artificial intelligence programme has been developed which can detect breast cancer from mammograms better than experts, a study found.A new study has found that an AI system developed by Google Health can identify cancer in breast screening mammograms with fewer false positives, and fewer false negatives than radiologists.The programme was developed in collaboration with DeepMind, Cancer Research UK Imperial Centre, Northwestern University, and Royal Surrey County Hospital.Researchers said that the AI model was trained and tuned on anonymised mammograms from more than 76,000 women in the UK and more than 15,000 women in the US to see if it could learn to spot signs of breast cancer.It was then tested on a separate data selection of more than 25,000 women in the UK and over 3,000 women in the US.The study found that the AI system produced a 1.2% reduction in false positives, where a mammogram is reported as abnormal when no cancer is present, and 2.7% reduction of false negatives, when the scan is reported as normal even though breast cancer is present, in the UK.This compared to a 5.7% reduction in false positives and 9.4% reduction of false negatives in the USA.It said that while human experts had access to patient histories and prior mammograms when making screening decisions, the AI system only processed the most recent mammogram with no extra information and “compared favourably”.The team said that the latest study, published in the journal Nature on Wednesday, “set the stage” for the model to potentially support radiologists performing breast cancer screenings.Dominic King, UK Lead at Google Health, said: “Our team is really proud of these research findings, which suggest that we are on our way to developing a tool that can help clinicians spot breast cancer with greater accuracy.“Further testing, clinical validation and regulatory approvals are required before this could start making a difference for patients, but we’re committed to working with our partners towards this goal.”Screening mammography, the most widely used breast cancer screening tool, is an X-ray taken of the breast from multiple views and the images are then analysed by at least one radiologist in the US or two in the UK.Breast cancer is the most common cancer in the UK – with around 55,000 people diagnosed every year, according to Cancer Research UK.The charity said one in seven women in the UK develops breast cancer during their lifetime, and it more common in older women.Michelle Mitchell, Cancer Research UK’s chief executive, said: “These results highlight the significant role that AI could play in the future of cancer care.“Embracing technology like this may help improve the way we diagnose cancer in the years to come.“Screening helps diagnose breast cancer at an early stage, when treatment is more likely to be successful, ensuring more people survive the disease. But it also has harms such as diagnosing cancers that would never have gone on to cause any problems and missing some cancers.“This is still early-stage research, but it shows how AI could improve breast cancer screening and ease the pressure off the NHS. And while further clinical studies are needed to see how and if this technology could work in practice, the initial results are promising.”Source: The Telegraph Previous article Arsenal Secures Win against Manchester United at Emirates Stadium Related Posts Arsenal Secures Win against Manchester United at Emirates Stadium January 2, 2020 Vitafoam Nigeria Declares N2.38 billion PAT for 2019 January 2, 2020 US-owned Businesses in Nigeria Created 3 million Jobs in One year – ABC January 2, 2020Facebook CommentsLeave a Reply Cancel ReplyYou must be logged in to post a comment.This site uses Akismet to reduce spam. Learn how your comment data is processed. You may also like Arsenal Secures Win against Manchester United at Emirates StadiumMikel Arteta claimed his first win as ArsenalSearch for:Special ReportThe Nigerian Economy And Prospects in 2020LBS Report: 2019 Nigeria Economic ReviewHighlights/Breakdown of the 2020 Executive Budget ProposalThe Economic Power of Nigeria’s Diaspora – PwC ReportBizQuote Of The DayNever interrupt your enemy when he is making a mistake.~Napoleon BonaparteSubscribe to our daily newsletterEmail *First name SubscribeRecent Posts Scientists Develop AI Programme which Detects Breast Cancer Better than Experts BWN January 2, 2020 Arsenal Secures Win against Manchester United at Emirates Stadium BWN January 2, 2020 Vitafoam Nigeria Declares N2.38 billion PAT for 2019 BWN January 2, 2020 US-owned Businesses in Nigeria Created 3 million Jobs in One year – ABC BWN January 2, 2020 Nigeria’s Foreign Reserves Drops by $4.45 billion to $38.61 billion – CBN BWN January 2, 2020<!-Exchange Rate widget - HTML code - fx-rate.net --> Nigerian Naira Exchange Rate<!-end of code-->Follow us on TwitterTweets by @BizWatchNigeria Like Our Page On Facebook Copyright © 2018 BizWatchNigeria.ngHomeAbout UsAdvert Rate – Nigeria NairaAdvert Rate – USDContact GET IN THE TREND!Subscribe To Our Daily Newsletter Your Information will never be shared with any third party.SUBSCRIBE NOW!×THANK YOU!You're almost done - Activate your subscriptionYou’ve just been sent an email that contains a confirmation link. 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But harms diagnosing cancers gone cause problems missing cancers.This earlystage research, shows AI improve breast cancer screening ease pressure NHS. And clinical studies needed technology work practice, initial results promising.Source: The Telegraph Previous article Arsenal Secures Win Manchester United Emirates Stadium Related Posts Arsenal Secures Win Manchester United Emirates Stadium January 2, 2020 Vitafoam Nigeria Declares N2.38 billion PAT 2019 January 2, 2020 USowned Businesses Nigeria Created 3 million Jobs One year ABC January 2, 2020Facebook CommentsLeave Reply Cancel ReplyYou logged post comment.This site uses Akismet reduce spam. Learn comment data processed. 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https://www.thehindu.com/news/national/covid-19-ai-express-to-offer-free-rescheduling-of-tickets/article31023419.ece/amp/ | 2020-03-09T00:00:00 | en | COVID-19: AI Express to offer free rescheduling of tickets - The Hindu |
COVID-19: AI Express to offer free rescheduling of tickets - The Hindu
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COVID-19: AI Express to offer free rescheduling of tickets
Air India Express | File
| Photo Credit:
B. Velankanni Raj
PTI
New Delhi
09 March 2020 16:55 IST
Updated:
09 March 2020 16:56 IST
Cancellations charge would be applicable
Air India Express on March 9 said passengers can reschedule their tickets free of cost for all bookings made between March 12-31, in the wake of COVID-19 outbreak. The airline, the budget arm of national carrier Air India, flies to 13 international destinations, mostly in the Gulf region.“In view of the uncertain travel situation due to COVID-19, free date change will be permitted up to three days prior to the flight departure, for all new bookings effected between March 12, 2020 to March 31, 2020, for travel up to April 30, 2020,” the airline said in a statement.Advertising
AdvertisingCancellations charge would be applicable. Many countries have imposed travel restrictions, amid the outbreak of coronavirus, which has claimed thousands of lives. The carrier operates over 660 flights every week to 12 destinations in Gulf countries, including Dubai and Bahrain, besides Singapore. It also has around eight domestic connections per week. Following the coronavirus outbreak, the airline has reduced the number of its flights to Singapore and has suspended services to Kuwait, an airline official said. The official also said flights to Doha are likely to be cancelled as the Gulf nation has banned entry of people from India and 13 other countries due to coronavirus scare. Among other countries, Saudi Arabia has also put in place travel restrictions. Passengers holding Umrah visa and tourist visa have been barred from travelling to Saudi Arabia. On Sunday, GoAir said it would not charge any fee on cancellation or rescheduling of tickets booked till April 30. This would be applicable for all bookings made between March 8 and April 30 and for the travel period between March 8 and September 30. The zero cancellation and rebooking fee offer can be availed if done up to 14 days before departure, GoAir had said. On Saturday, IndiGo announced waiving of rescheduling charges on tickets booked between March 12 and March 31 for its domestic and international flights.
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YSRCP confident of winning all 38 ZPTCs in Srikakulam district
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COVID-19: AI Express to offer free rescheduling of tickets
10
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FIFA and AFC agree to postpone Asian World Cup qualifiers
19
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Holi tragedy: two boys drown and die in village tank near Warangal
20
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COVID-19: Iran announces 43 new deaths, raising toll to 237
22
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Champions League | PSG vs. Dortmund match to take place behind closed doors
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Ashraf Ghani sworn in for second term as Afghan President amid crisis
42
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Boxer Amit Panghal qualifies for Olympics
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Centre, Delhi govt working in close coordination to deal with coronavirus: Kejriwal
56
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BJP’s backing helped G.K. Vasan secure Rajya Sabha nomination
56
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Mumbai Police arrests two persons near Ambur for fake currency printing and circulation
59
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UGC advisory on COVID-19: Tiruchi colleges struggle to implement rules on campus
59
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Sudan’s Prime Minister Abdalla Hamdok survives assassination attempt
1
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Coronavirus | Bengaluru school suspends classes until further notice
1
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Sudden rains and gales hit standing crops in Karimnagar district
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| COVID-19: AI Express to offer free rescheduling of tickets | COVID19: AI Express offer free rescheduling tickets The Hindu 15 News National National COVID19: AI Express offer free rescheduling tickets Air India Express File Photo Credit: B. Velankanni Raj PTI New Delhi 09 March 2020 16:55 IST Updated: 09 March 2020 16:56 IST Cancellations charge applicable Air India Express March 9 said passengers reschedule tickets free cost bookings March 1231, wake COVID19 outbreak. The airline, budget arm national carrier Air India, flies 13 international destinations, Gulf region.In view uncertain travel situation COVID19, free date change permitted days prior flight departure, new bookings effected March 12, 2020 March 31, 2020, travel April 30, 2020, airline said statement.Advertising AdvertisingCancellations charge applicable. Many countries imposed travel restrictions, amid outbreak coronavirus, claimed thousands lives. The carrier operates 660 flights week 12 destinations Gulf countries, including Dubai Bahrain, Singapore. It domestic connections week. Following coronavirus outbreak, airline reduced number flights Singapore suspended services Kuwait, airline official said. The official said flights Doha likely cancelled Gulf nation banned entry people India 13 countries coronavirus scare. Among countries, Saudi Arabia place travel restrictions. Passengers holding Umrah visa tourist visa barred travelling Saudi Arabia. On Sunday, GoAir said charge fee cancellation rescheduling tickets booked till April 30. This applicable bookings March 8 April 30 travel period March 8 September 30. The zero cancellation rebooking fee offer availed 14 days departure, GoAir said. On Saturday, IndiGo announced waiving rescheduling charges tickets booked March 12 March 31 domestic international flights. Comments More In National viral diseases public healthcommunity medicine Iran Previous Story YSRCP confident winning 38 ZPTCs Srikakulam district Next Story Holi tragedy: boys drown die village tank near Warangal Read more... LATEST NEWS The Hindu MetroPlus local elections Coronavirus soccer The Hindu MetroPlus The Hindu MetroPlus accident general Iran soccer Afghanistan The Hindu MetroPlus Terms Use Archive Print Subscription ePaper Digital Subscription Rss Feeds Sitemap Subscription Latest News Todays Paper ePaper Crossword Housing News States Business Real Estate Cities Elections Opinion Sport Entertainment Society Books Children Life Style Technology SciTech Education Multimedia Data Specials Resources Tags thREAD Theatre Fest November Fest Lit Life JUST IN 5 mins YSRCP confident winning 38 ZPTCs Srikakulam district 6 mins COVID19: AI Express offer free rescheduling tickets 10 mins FIFA AFC agree postpone Asian World Cup qualifiers 19 mins Holi tragedy: boys drown die village tank near Warangal 20 mins COVID19: Iran announces 43 new deaths, raising toll 237 22 mins Champions League PSG vs. Dortmund match place closed doors 26 mins Ashraf Ghani sworn second term Afghan President amid crisis 42 mins Boxer Amit Panghal qualifies Olympics 42 mins Centre, Delhi govt working close coordination deal coronavirus: Kejriwal 56 mins BJPs backing helped G.K. Vasan secure Rajya Sabha nomination 56 mins Mumbai Police arrests persons near Ambur fake currency printing circulation 59 mins UGC advisory COVID19: Tiruchi colleges struggle implement rules campus 59 mins Sudans Prime Minister Abdalla Hamdok survives assassination attempt 1 hr Coronavirus Bengaluru school suspends classes notice 1 hr Sudden rains gales hit standing crops Karimnagar district Close | 2,020 | [
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] | 1 | NEGATIVE | 494 |
https://www.dealnews.com/LG-C9-55-4-K-HDR-OLED-UHD-Smart-TV-w-AI-Thin-Q-for-1-319-free-shipping/18289588.html | 2020-01-18T00:00:00 | en | LG C9 55" 4K HDR OLED UHD Smart TV w/ AI ThinQ for $1,319 - OLED55C9PUA |
LG C9 55" 4K HDR OLED UHD Smart TV w/ AI ThinQ for $1,319 - OLED55C9PUA
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Create account log started. Create Account Log In Thanks selecting interests See personalized deals Close Were sorry, unable process request Please close dialog try Close Open Offer New Tab Create Alert Report Error Share Share deal friends Email Facebook Twitter New Greentoe 1 hr ago LG C9 55 4K HDR OLED UHD Smart TV w AI ThinQ 1,319 1,497 free shipping Thats lowest price 178. Buy Now Greentoe Tips Enter 1,319 price click continue. Fill info. Wait email confirming price accepted. Pay 24 hours TV delivered authorized retailer. 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Buy Now eBay Tips Sold VIPOutlet eBay. A 90day VIP Outlet warranty applies. Features adaptive sound control TV remote compatibility dynamic range control wirelessly links compatible devices, including select LG televisions Sound Sync Model: SK1 Walmart 4 days ago LG Rebel 4 Prepaid Phone Straight Talk 20 70 pickup Thats best price 19. Buy Now Walmart Features Qualcomm Snapdragon 1.4GHz quadcore processor 5 touchscreen LCD 2GB RAM 16GB internal storage 8MP rear 5MP cameras Android 8.1 Oreo Model: STLML212VCP Pricewaiter 3 days ago LG C9 Series 77 4K OLED Smart TV 3,849 6,999 free shipping Thats 3,150 list lowest price find. Buy Now Pricewaiter Tips Select Make Offer. Enter 3,849 price click continue. Wait response confirming price accepted. Click checkout. Features 2.2ch. speaker AL ThinQ compatible Alexa Google Home Model: OLED77C9PUB eBay 3 wks ago LG 32 1080p IPS LED LCD Display 169 250 free shipping Thats best price 20. Buy Now eBay Tips Sold BuyDig eBay Features 1920x1080 1080p native resolution HDMI, DisplayPort, VGA inputs Model: 32MA68HYP Leave comment Never Miss Another Deal Get latest deals delivered straight inbox You receive newsletter 24 hours. You receive newsletter 24 hours. BACKTO TOP CONNECT DEALS Popular Brands Online Coupons HELPFULLINKS Us Store Complaints Press Room Advertise DealNews Marketplace Expertise Careers Sweepstakes Winners FAQ Never missa deal Sign theminute offers, sales news. Thank subscribing. Cant deals? We personalized newsletters theres want of. Check Them Out 2020 DealNews. . Disclaimer | 2,020 | [
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https://localnews8.com/news/money/2020/01/15/theres-a-new-obstacle-to-landing-a-job-after-college-getting-approved-by-ai/ | 2020-01-15T00:00:00 | en | There's a new obstacle to landing a job after college: Getting approved by AI - Local News 8 |
There's a new obstacle to landing a job after college: Getting approved by AI - Local News 8
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By CNN
Published
January 15, 2020
8:25 am
There’s a new obstacle to landing a job after college: Getting approved by AI
College career centers used to prepare students for job interviews by helping them learn how to dress appropriately or write a standout cover letter. These days, they’re also trying to brace students for a stark new reality: They may be vetted for jobs in part by artificial intelligence.
At schools such as Duke University, Purdue University, and the University of North Carolina at Charlotte, career counselors are now working to find out which companies use AI and also speaking candidly with students about what, if anything, they can do to win over the algorithms. This shift in preparations comes as more businesses interested in filling internships and entry-level positions that may see a glut of applicants turn to outside companies such as HireVue to help them quickly conduct vast numbers of video interviews.
With HireVue, businesses can pose pre-determined questions — often recorded by a hiring manager — that candidates answer on camera through a laptop or smartphone. Increasingly, those videos are then pored over by algorithms analyzing details such as words and grammar, facial expressions and the tonality of the job applicant’s voice, trying to determine what kinds of attributes a person may have. Based on this analysis, the algorithms will conclude whether the candidate is tenacious, resilient, or good at working on a team, for instance.
Much has been written about the potential of AI to replace human jobs in the future, but the use of services like HireVue highlights a different concern: that AI can act as a gatekeeper for the jobs of today. Companies may not be ready to outsource vetting candidates for C-Suite and executive positions to algorithms, but the stakes are lower for entry-level roles and internships. That means some of today’s college students are effectively the guinea pigs for a largely unproven mechanism for evaluating applicants.
To make matters more complicated, there is little in the way of regulations or industry standards surrounding disclosure of technology usage -— though Illinois, for example, changed that with a recently-enacted law. So interviewees may not know when (or how) AI is analyzing their interview, and when it isn’t. That creates a sense of uncertainty for those trying to guide college students and new graduates through the interview process, and for the job seekers themselves.
“It’s kind of the wild, wild west right now of interviewing,” said Matthew French, assistant director for employer relations at UNC Charlotte’s university career center.
Sarah Ali, a Duke undergraduate student, has gone through about eight HireVue interviews with various companies for jobs and internships in fields like tech and marketing. Except for the first interview, which helped her snag a marketing internship, none of them led to a job. Even now, she’s unsure what role, if any, AI played in the process — a possibility she only contemplated after speaking with friends about it following the first one.
Even though she landed the internship after that first interview, Ali said she would have done a lot of things differently had she known for sure AI was involved. She might have used key words or phrases that would be picked up by AI and also kept direct eye contact with the camera.
“Once I understood the AI interview process, I definitely started thinking about it as a game and how I could optimize for certain qualities or gestures,” Ali said.
Why some companies turn to AI in interviews
HireVue may be the most well-known video interview company with nearly 800 companies as clients (including CNN, which does not use its AI features). It is used to interview about 1 million people every 90 days, according to HireVue CEO Kevin Parker.
“We’ll interview probably a million college kids this year,” Parker told CNN Business.
Parker said the Utah-based company began using AI in 2014 as a way to help companies sort through video interviews. He won’t say how many clients use AI assessments today, beyond noting that it’s a “smaller subset” of the companies it works with. HireVue highlights several of them on its website, including multiple Fortune 500 companies, such as Unilever.
As with other companies like Yobs and Talview that offer AI-based assessments of video interviews, HireVue believes it can be helpful for ushering a massive number of people through the interview process quickly and reviewing them in a fair, consistent way.
Parker said its algorithms consider things such as word usage, pronoun tense, and facial expressions to determine how likely a job candidate is to possess a specific attribute a client is looking for in a certain job, such as empathy or willingness to learn.
These AI assessments are often used for filling entry-level jobs because candidates don’t have a lot of work history. The goal, according to Parker, is that the AI can act as a way to evaluate abilities and talent.
After an AI assessment is performed on an interview — video interviews can take roughly 20 to 25 minutes — the client gets a report scoring the candidate on the attributes deemed key to the job. This, Parker said, gives the company offering the job an almost standardized-test-score view of the candidate, showing what they’re good at and how they stand relative to other candidates. A report can also be generated for the job candidate to give them feedback, but it’s up to the employer to share that.
“We recommend that customers do it and I think it’s great feedback for the candidate, but it’s customer specific,” Parker said. It’s unclear how many companies do applicants the courtesy of taking this step.
“We don’t know what it’s looking for”
For Meredith McCook, assistant director at the Duke career center, the rise of this kind of interview — via video, and possibly with AI in the background analyzing that video — has meant some changes to how she works with students. She’s often talking to students about the new ways technology may be part of the interview process, and coaching them to practice by doing things such as turning on their laptop’s video camera and spending time talking to it. Duke offers students online video interview practice sessions, too.
“With AI, we don’t know what it’s looking for,” McCook said. But in case AI is analyzing the interview, she suggests students raise their laptop to be eye level with the camera so it appears they’re maintaining eye contact, even though there isn’t a human on the other side of the lens.
At UNC Charlotte, French is trying to help students become more informed about when AI is being used. This year, he said, the school will be asking employers it partners with whether they use AI for their virtual interviews in hopes of getting some data on how widespread the practice is.
He remains troubled about the use of AI in the recruitment process, though. “Everyone makes snap judgments on students, on applicants, when first meeting them,” he said. “But what worries me about AI is AI can’t tell the heart of a person and the drive a person has.”
Others like Stephen Roach, a career services consultant at Purdue’s center for career opportunities, sometimes take an almost dismissive approach when coaching students on dealing with a potential AI assessment. For example, he may tell them not to worry about it, since it’s outside their control.
“If it is looking at their facial expressions or tone of voice, it might just be them being who they are,” he said. “They can’t know how that platform’s going to judge them.”
These career counselors might soon have more tools to help students crack the black box. Interview prep platform Big Interview, which is used by more than 500 colleges and universities including Purdue and UNC Charlotte, is building its own AI system for scoring mock video interviews and giving would-be interviewees feedback. Big Interview cofounder and chief coach Pamela Skillings said the feedback will include details such as how quickly the person speaks and how much confident or negative language they use. The company plans to roll it out next month.
The impetus for developing the tool, Skillings said, is from seeing people getting screened out after doing video interviews and feeling like they “deserve to know how they’re coming across.”
But does it even work?
Regardless of how clued in candidates are to when and how AI evaluates their interviews, plenty of people encountering this kind of interview technology — from college career counselors to AI scholars to technology rights activists — are unconvinced it can really work.
“When you start saying, ‘We’ll use things like cadence and facial animation and things of that nature,’ I’m really skeptical that there’s real validity there,” said Aaron Rieke, a managing director at technology rights nonprofit Upturn.
There are also concerns about how well AI can apply to the interview process. Arvind Narayanan, an associate professor of computer science at Princeton, said that while AI can be helpful at, say, identifying whether a photo contains a cat or a dog, it’s much harder to automate things such as predicting future social outcomes — like who will succeed at a job.
He’s particularly doubtful of companies claiming they can analyze facial expressions in order to assess a person’s suitability for a job. (HireVue’s AI assessments can include this, Parker said, but he stressed that it’s used “very, very little”.)
One group, the Electronic Privacy Information Center, or EPIC, has gone as far as asking the Federal Trade Commission to investigate HireVue for what it calls “unfair and deceptive trade practices” related to its use of AI — particularly “secret, unproven algorithms” — in the interview process.
HireVue said in a statement that it believes the complaint is without merit. “We uphold the highest levels of rigor and ethics as we work every day to increase fairness and objectivity in the hiring process,” the company said.
Coming face-to-face with artificial intelligence
To get a sense for what it’s actually like to be knowingly graded by a computer, I recently tried out a simulator that’s available online from Los Angeles-based startup Yobs, which uses AI to help a range of companies.
The interview started with a familiar question: Name your biggest strengths and weaknesses. In the back of my mind, however, I wondered what an algorithm would make of my answer, complete with nervous pauses and frowns.
As I stared into my laptop camera, talking to nobody about myself and why I should be a potential employee at the faux Your Dream Company, I couldn’t help but feel a lot more anxious than I ever recall feeling during a phone or in-person interview.
After answering the warm-up question about my strengths and weaknesss, which I was allowed to watch and redo as many times as I wanted, I recorded an ersatz interview where I had to talk about topics such as a time I faced a challenge with a team. Yobs gave me 30 seconds to prepare an answer to each of the questions, and each answer needed to be one to three minutes long. Without a human on the other side of my desk, I struggled to speak for even 40 seconds straight.
The AI assessment of my performance arrived in my inbox soon after. It included computer-generated scores of the so-called Big Five personality traits — including openness and conscientiousness, where I scored highly, and neuroticism where, to my surprise, I scored low. The report also rated me on what are often known as “soft” or interpersonal skills: According to Yobs, my answers indicated a tendency to be cooperative, humble, and analytical, but less likely to be assertive or empathetic.
To score these traits and skills, Yobs cofounder and CEO Raphael Danilo said the company’s AI assessment analyzes what interviewees say and how they say it — a method that sounds similar to HireVue’s. If a video is poor quality or the speaker has an unclear voice, he said, a trained human reviewer (who’s been given guidelines by psychologists working for Yobs on how to measure the same things the AI system is assessing) will look it over.
Danilo acknowledges that using AI to look over interviews is challenging; he’s not, for instance, comfortable letting it completely automate the hiring process at this point. But he’s convinced it can help employers find good employees quickly.
If you’re looking at 100,000 applications for 500 spots, for instance, “you can’t talk to everybody,” he said. “You can’t take everyone out to lunch. So you have to use signals.”
CNN
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| There's a new obstacle to landing a job after college: Getting approved by AI | Theres new obstacle landing job college: Getting approved AI Local News 8 Home News Local News Crime Tracker Idaho Pay It Forward Prevent Child Abuse Scam Alerts USWorld Utah Wyoming Weather Alerts First Alert VIPIR Radar Local Forecast 8Day Forecasts Road Report Ski Report Sky Cams Spirit Idaho Sports Athlete Week Bleacher Feature High School Athletics East Idaho Game Night Boise State Athletics Idaho State Athletics BYU Athletics Election 2020 Videos Galleries Livestream KIFI Livestream KIDK Livestream Events Must See Videos Must See Galleries Life Entertainment Events Gas Prices Hire Idaho Obituaries Shop Hometown Professionals Ultimate Ski Card Ultimate Golf Card Weekly Deals Play Contests Spirit Idaho Pro Football Pickoff Share Submit Tips, Pics Video Meet Team Us Advertise With Us Closed Captioning Download Our Apps FCC Public File KIFI FCC Public File KIDK FCC Public File K49NDD EEO Form CW East Idaho Telemundo East Idaho Jobs Internships Scholarships Translator Information TV Listings circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email Skip Content News Weather Sports Life Shop Play Share Watch Idaho Falls 14 You need rescan TV Top Local Stories School delays closures January 15, 2020 Winter weather little impact emergency services Winter storm driving hacks: Why kitty litter old socks game changers Motorcycle enthusiast brings classic bikes life auction Money By CNN Published January 15, 2020 8:25 Theres new obstacle landing job college: Getting approved AI College career centers prepare students job interviews helping learn dress appropriately write standout cover letter. These days, theyre trying brace students stark new reality: They vetted jobs artificial intelligence. At schools Duke University, Purdue University, University North Carolina Charlotte, career counselors working companies use AI speaking candidly students what, anything, win algorithms. This shift preparations comes businesses interested filling internships entrylevel positions glut applicants turn outside companies HireVue help quickly conduct vast numbers video interviews. With HireVue, businesses pose predetermined questions recorded hiring manager candidates answer camera laptop smartphone. reasingly, videos pored algorithms analyzing details words grammar, facial expressions tonality job applicants voice, trying determine kinds attributes person have. Based analysis, algorithms conclude candidate tenacious, resilient, good working team, instance. 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Except interview, helped snag marketing internship, led job. Even now, shes unsure role, any, AI played process possibility contemplated speaking friends following one. Even landed internship interview, Ali said lot things differently known sure AI involved. She key words phrases picked AI kept direct eye contact camera. Once I understood AI interview process, I definitely started thinking game I optimize certain qualities gestures, Ali said. Why companies turn AI interviews HireVue wellknown video interview company nearly 800 companies clients including CNN, use AI features. It interview 1 million people 90 days, according HireVue CEO Kevin Parker. Well interview probably million college kids year, Parker told CNN Business. Parker said Utahbased company began AI 2014 way help companies sort video interviews. He wont clients use AI assessments today, noting smaller subset companies works with. HireVue highlights website, including multiple Fortune 500 companies, Unilever. As companies like Yobs Talview offer AIbased assessments video interviews, HireVue believes helpful ushering massive number people interview process quickly reviewing fair, consistent way. Parker said algorithms consider things word usage, pronoun tense, facial expressions determine likely job candidate possess specific attribute client looking certain job, empathy willingness learn. These AI assessments filling entrylevel jobs candidates dont lot work history. The goal, according Parker, AI act way evaluate abilities talent. After AI assessment performed interview video interviews roughly 20 25 minutes client gets report scoring candidate attributes deemed key job. This, Parker said, gives company offering job standardizedtestscore view candidate, showing theyre good stand relative candidates. A report generated job candidate feedback, employer share that. We recommend customers I think great feedback candidate, customer specific, Parker said. Its unclear companies applicants courtesy taking step. We dont know looking For Meredith McCook, assistant director Duke career center, rise kind interview video, possibly AI background analyzing video meant changes works students. Shes talking students new ways technology interview process, coaching practice things turning laptops video camera spending time talking it. Duke offers students online video interview practice sessions, too. With AI, dont know looking for, McCook said. But case AI analyzing interview, suggests students raise laptop eye level camera appears theyre maintaining eye contact, isnt human lens. At UNC Charlotte, French trying help students informed AI used. This year, said, school asking employers partners use AI virtual interviews hopes getting data widespread practice is. He remains troubled use AI recruitment process, though. Everyone makes snap judgments students, applicants, meeting them, said. But worries AI AI tell heart person drive person has. Others like Stephen Roach, career services consultant Purdues center career opportunities, dismissive approach coaching students dealing potential AI assessment. For example, tell worry it, outside control. If looking facial expressions tone voice, are, said. They know platforms going judge them. These career counselors soon tools help students crack black box. Interview prep platform Big Interview, 500 colleges universities including Purdue UNC Charlotte, building AI scoring mock video interviews giving wouldbe interviewees feedback. Big Interview cofounder chief coach Pamela Skillings said feedback include details quickly person speaks confident negative language use. The company plans roll month. The impetus developing tool, Skillings said, seeing people getting screened video interviews feeling like deserve know theyre coming across. But work? Regardless clued candidates AI evaluates interviews, plenty people encountering kind interview technology college career counselors AI scholars technology rights activists unconvinced work. When start saying, Well use things like cadence facial animation things nature, Im skeptical theres real validity there, said Aaron Rieke, managing director technology rights nonprofit Upturn. There concerns AI apply interview process. Arvind Narayanan, associate professor science Princeton, said AI helpful at, say, identifying photo contains cat dog, harder automate things predicting future social outcomes like succeed job. Hes particularly doubtful companies claiming analyze facial expressions order assess persons suitability job. HireVues AI assessments include this, Parker said, stressed very, little. One group, Electronic Privacy Information Center, EPIC, gone far asking Federal Trade Commission investigate HireVue calls unfair deceptive trade practices related use AI particularly secret, unproven algorithms interview process. HireVue said statement believes complaint merit. We uphold highest levels rigor ethics work day increase fairness objectivity hiring process, company said. Coming facetoface artificial intelligence To sense actually like knowingly graded computer, I recently tried simulator thats available online Los Angelesbased startup Yobs, uses AI help range companies. The interview started familiar question: Name biggest strengths weaknesses. In mind, however, I wondered algorithm answer, complete nervous pauses frowns. As I stared laptop camera, talking I potential employee faux Your Dream Company, I help feel lot anxious I recall feeling phone inperson interview. After answering warmup question strengths weaknesss, I allowed watch redo times I wanted, I recorded ersatz interview I talk topics time I faced challenge team. Yobs gave 30 seconds prepare answer questions, answer needed minutes long. Without human desk, I struggled speak 40 seconds straight. The AI assessment performance arrived inbox soon after. It included computergenerated scores socalled Big Five personality traits including openness conscientiousness, I scored highly, neuroticism where, surprise, I scored low. The report rated known soft interpersonal skills: According Yobs, answers indicated tendency cooperative, humble, analytical, likely assertive empathetic. To score traits skills, Yobs cofounder CEO Raphael Danilo said companys AI assessment analyzes interviewees method sounds similar HireVues. If video poor quality speaker unclear voice, said, trained human reviewer whos given guidelines psychologists working Yobs measure things AI assessing look over. Danilo acknowledges AI look interviews challenging; hes not, instance, comfortable letting completely automate hiring process point. But hes convinced help employers good employees quickly. If youre looking 100,000 applications 500 spots, instance, talk everybody, said. You lunch. So use signals. CNN Related Articles Targets holiday season letdown. Costcos wasnt Toyota recalling nearly 700,000 vehicles issues fuel pumps What experts biggest risk world 2020? American politics This biggest year bank mergers late 1990s Comments Leave Reply Cancel replyYou logged post comment. EEO Report Terms Use Our Email Newsletters Daily News Update Breaking News Alert Daily Weather Forecast Severe Weather Alert Contests Promotions Download Our Apps Available iOS Android 2020, NPG Idaho, . Idaho Falls, ID USA | 2,020 | [
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] | 1 | NEGATIVE | 496 |
https://www.dnaindia.com/education/report-the-shibulal-family-philanthropic-initiatives-and-synergos-come-together-to-commission-a-report-on-how-india-gives-2814033 | 2020-02-17T00:00:00 | en | The Shibulal Family Philanthropic Initiatives and Synergos come together to commission a report on ‘How India Gives’ |
The Shibulal Family Philanthropic Initiatives and Synergos come together to commission a report on ‘How India Gives’
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The Shibulal Family Philanthropic Initiatives and Synergos come together to commission a report on ‘How India Gives’
The Shibulal Family Philanthropic Initiatives today concluded the second edition of their Amplio Speaker Series with noted American Philanthropist Peggy Dulany, Founder and Chair - Synergos, at Taj West End in Bengaluru. Ms. Dulany is known for co-founding the Synergos Global Philanthropists Circle with her father, the late David Rockefeller. The highlight of the event was a fireside chat with Ms. Dulany and Mrs. Kumari Shibulal moderated by Ms. Bhairavi M Shibulal. The conversation focused on the need for individual philanthropy in India to bridge economic inequity and encourage a culture of giving back to society as well as giving more of their whole selves in these efforts. Ms. Dulany and Mrs. Shibulal shared insights on what motivates them to give back and the need for an inclusive and solution-driven approach towards philanthropy in India.
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Updated: Feb 17, 2020, 07:23 PM IST
The Shibulal Family Philanthropic Initiatives today concluded the second edition of their Amplio Speaker Series with noted American Philanthropist Peggy Dulany, Founder and Chair - Synergos, at Taj West End in Bengaluru. Ms. Dulany is known for co-founding the Synergos Global Philanthropists Circle with her father, the late David Rockefeller. The highlight of the event was a fireside chat with Ms. Dulany and Mrs. Kumari Shibulal moderated by Ms. Bhairavi M Shibulal. The conversation focused on the need for individual philanthropy in India to bridge economic inequity and encourage a culture of giving back to society as well as giving more of their whole selves in these efforts. Ms. Dulany and Mrs. Shibulal shared insights on what motivates them to give back and the need for an inclusive and solution-driven approach towards philanthropy in India.
The Shibulal Family Philanthropic Initiatives and Synergos announced that a comprehensive report on ‘How India Gives’ will be commissioned to provide data and insights on trends in giving (formal and informal) and what motivates givers. This will create a richer understanding of how India gives so that the entire ecosystem of philanthropists, NGOs, policymakers and citizens can learn more and be encouraged to give more. The report will be officially launched at the Shibulal Family Philanthropic Initiatives Annual Social Change Summit, to be held later this year.
Case-studies showcasing the impact on the lives of the underserved were presented by Meera Rajeevan, Program Director - Vidyadhan and Anoj Viswanathan, Co-founder and President - Milaap.
Commenting on their association, Mrs. Shibulal said, “We’re glad to be associated with Synergos to propose an index that measures ‘How India Gives’. Our country has always had a rich culture of giving but still we rank 82nd among 128 countries as per the World Giving Index, 2019. This is because philanthropic efforts in India are largely unorganised and informal. We hope this report will motivate more individuals to pay it forward and create a positive impact within their own communities.”
Speaking about the collaboration, Ms. Dulany said, “We at Synergos are excited to join hands with the Shibulal Family Philanthropic Initiatives in India as part of our work to create a more peaceful, just and regenerative world. We hope that more individuals are encouraged to contribute their bit for the well-being of society.”
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The conversation focused need individual philanthropy India bridge economic inequity encourage culture giving society giving selves efforts. Ms. Dulany Mrs. Shibulal shared insights motivates need inclusive solutiondriven approach philanthropy India. Share Written By DNA Web Team Source DNA webdesk Updated: Feb 17, 2020, 07:23 PM IST The Shibulal Family Philanthropic Initiatives today concluded second edition Amplio Speaker Series noted American Philanthropist Peggy Dulany, Founder Chair Synergos, Taj West End Bengaluru. Ms. Dulany known cofounding Synergos Global Philanthropists Circle father, late David Rockefeller. The highlight event fireside chat Ms. Dulany Mrs. Kumari Shibulal moderated Ms. Bhairavi M Shibulal. The conversation focused need individual philanthropy India bridge economic inequity encourage culture giving society giving selves efforts. Ms. Dulany Mrs. Shibulal shared insights motivates need inclusive solutiondriven approach philanthropy India. The Shibulal Family Philanthropic Initiatives Synergos announced comprehensive report How India Gives commissioned provide data insights trends giving formal informal motivates givers. This create richer understanding India gives entire ecosystem philanthropists, NGOs, policymakers citizens learn encouraged more. The report officially launched Shibulal Family Philanthropic Initiatives Annual Social Change Summit, held later year. Casestudies showcasing impact lives underserved presented Meera Rajeevan, Program Director Vidyadhan Anoj Viswanathan, Cofounder President Milaap. Commenting association, Mrs. Shibulal said, Were glad associated Synergos propose index measures How India Gives. Our country rich culture giving rank 82nd 128 countries World Giving Index, 2019. This philanthropic efforts India largely unorganised informal. We hope report motivate individuals pay forward create positive impact communities. Speaking collaboration, Ms. Dulany said, We Synergos excited join hands Shibulal Family Philanthropic Initiatives India work create peaceful, regenerative world. We hope individuals encouraged contribute bit wellbeing society. Milaap David Rockefeller Home India World Business Technology Sports Entertainment Epaper FOLLOW US ON About DNA Investors Advertise Reprint Rights Partner Sites Zee News Hindi News Marathi News Bengali News Tamil News Malayalam News Zee Business WION 2020 Diligent Media Corporation Ltd. | 2,020 | [
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https://venturebeat.com/2020/10/27/human-api-raises-20-million-to-standardize-health-records-with-ai/ | 2020-10-27T00:00:00 | en | Human API raises $20 million to standardize health records with AI | VentureBeat |
Human API raises $20 million to standardize health records with AI | VentureBeat
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Human API raises $20 million to standardize health records with AI
Kyle Wiggers@Kyle_L_Wiggers October 27, 2020 9:23 AM
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The audio problem
Learn how new cloud-based API solutions are solving imperfect, frustrating audio in video conferences.
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Human API, a San Mateo, California-based company developing an AI pipeline that structures health data into a standardized format, this week raised over $20 million. A spokesperson for the startup says the capital will be used to scale new products and services that support product design, risk stratification, clinical trial recruitment, population health management, patient monitoring, and chronic disease management.
On October 1, the U.S. 21st Century Cures Act came into force. Signed into law in December 2016, the legislation aims to drive innovation by requiring that patients be provided access to their health information. But opening up electronic health records doesn’t make the data within them standardized; some experts estimate that as many as half of records are mismatched when data is transferred between health care systems.
Human API’s platform provides a means of accessing and sharing Fast Healthcare Interoperability Resources-compatible (FHIR) health records among physicians, startups, enterprises, and insurers. (FHIR is the standard that describes formats, elements, and APIs for exchanging electronic health records.) But the company’s technology also transforms that health data — which comes from hospitals, pharmacies, labs, wearable devices, fitness apps, and over 28,000 other sources — by normalizing and structuring it as it’s ingested. Leveraging inference models personalized to individual profiles, Human API converts unstructured data into a consistent format (e.g., PDF, JSON, or CSV) that’s enriched with industry-standard coding systems.
Above: Human API’s web dashboard.
From Human API’s app and dashboard, patients can navigate their records by searching for the name of a particular doctor, a ZIP code, a hospital, or any other relevant information. They’re also afforded the option of enlisting to take part in medical or pharma trials and any wellness programs provided by their employers.
During the pandemic, Human API launched a product for COVID-19 test result aggregation. It lets patients authorize their results to be delivered via the company’s platform without HIPAA forms or signatures, enabling care providers to monitor COVID-19 onset and provide care based on longitudinal medical histories. Patients can also view and download all the data they’ve shared using an export tool.
Human API claims its broader platform includes 90% of all U.S. hospitals, covering over 264 million Americans. The startup’s enterprise and academic customers, among them Welldoc and the University of California, San Francisco, draw on the platform principally for health research, insurance underwriting and processing, and health plan risk adjustment and reporting.
Samsung Ventures led the series C round in Human API with participation from CNO Financial Group, Allianz Life Ventures, and Moneta VC, along with existing backers BlueRun Ventures, SCOR Life and Health Ventures, and Guardian Life Insurance Company. It brings the company’s total raised to date to over $36.6 million.Sign up for Funding Weekly to start your week with VB's top funding stories.
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| Human API raises $20 million to standardize health records with AI | Human API raises 20 million standardize health records AI 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 Human API raises 20 million standardize health records AI Kyle Wiggers October 27, 2020 9:23 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Shutterstock Uber images The audio problem Learn new cloudbased API solutions solving imperfect, frustrating audio video conferences. Access Human API, San Mateo, Californiabased company developing AI pipeline structures health data standardized format, week raised 20 million. A spokesperson startup says capital scale new products services support product design, risk stratification, clinical trial recruitment, population health management, patient monitoring, chronic disease management. On October 1, U.S. 21st Century Cures Act came force. Signed law December 2016, legislation aims drive innovation requiring patients provided access health information. But opening electronic health records doesnt data standardized; experts estimate half records mismatched data transferred health care systems. Human APIs platform provides means accessing sharing Fast Healthcare Interoperability Resourcescompatible FHIR health records physicians, startups, enterprises, insurers. FHIR standard describes formats, elements, APIs exchanging electronic health records. But companys technology transforms health data comes hospitals, pharmacies, labs, wearable devices, fitness apps, 28,000 sources normalizing structuring ingested. Leveraging inference models personalized individual profiles, Human API converts unstructured data consistent format e.g., PDF, JSON, CSV thats enriched industrystandard coding systems. Above: Human APIs web dashboard. From Human APIs app dashboard, patients navigate records searching particular doctor, ZIP code, hospital, relevant information. Theyre afforded option enlisting medical pharma trials wellness programs provided employers. During pandemic, Human API launched product COVID19 test result aggregation. It lets patients authorize results delivered companys platform HIPAA forms signatures, enabling care providers monitor COVID19 onset provide care based longitudinal medical histories. Patients view download data theyve shared export tool. Human API claims broader platform includes 90 U.S. hospitals, covering 264 million Americans. The startups enterprise academic customers, Welldoc University California, San Francisco, draw platform principally health research, insurance underwriting processing, health plan risk adjustment reporting. Samsung Ventures led series C round Human API participation CNO Financial Group, Allianz Life Ventures, Moneta VC, existing backers BlueRun Ventures, SCOR Life Health Ventures, Guardian Life Insurance Company. It brings companys total raised date 36.6 million.Sign Funding Weekly start week VBs funding stories. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. . | 2,020 | [
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https://primefeed.in/coronavirus/4971754/hemodialysis-peritoneal-dialysis-market-has-huge-demand-global-wide-key-players-mar-cor-purification-inc-c-r-bard-inc-davita-healthcare-partners-inc-asahi-kasei-medical-co-ltd-fres/ | 2020-09-06T00:00:00 | en | Hemodialysis & Peritoneal Dialysis Market has Huge Demand Global wide| Key Players- Mar Cor Purification, Inc., C. R. Bard Inc, Davita Healthcare Partners Inc., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG & Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International Inc., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, Inc., 3M, Medtronic, B. Braun Melsungen AG – Owned |
Hemodialysis & Peritoneal Dialysis Market has Huge Demand Global wide| Key Players- Mar Cor Purification, Inc., C. R. Bard Inc, Davita Healthcare Partners Inc., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG & Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International Inc., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, Inc., 3M, Medtronic, B. Braun Melsungen AG – Owned
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HomeCoronavirusHemodialysis & Peritoneal Dialysis Market has Huge Demand Global wide| Key Players- Mar Cor Purification, Inc., C. R. Bard Inc, Davita Healthcare Partners Inc., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG & Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International Inc., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, Inc., 3M, Medtronic, B. Braun Melsungen AG
Hemodialysis & Peritoneal Dialysis Market has Huge Demand Global wide| Key Players- Mar Cor Purification, Inc., C. R. Bard Inc, Davita Healthcare Partners Inc., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG & Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International Inc., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, Inc., 3M, Medtronic, B. Braun Melsungen AG
Posted On: September 6, 2020
Posted By: Credible Markets
Comments: 0
The recent report on “Global Hemodialysis & Peritoneal Dialysis Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026” offered by Credible Markets, comprises of a comprehensive investigation into the geographical landscape, industry size along with the revenue estimation of the business. Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the “Hemodialysis & Peritoneal Dialysis Market”.
Impact of Covid-19 in Hemodialysis & Peritoneal Dialysis Market: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Hemodialysis & Peritoneal Dialysis market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
Download FREE Sample Copy of Hemodialysis & Peritoneal Dialysis Market Report @ https://www.crediblemarkets.com/sample-request/hemodialysis-peritoneal-dialysis-market-81043
Key players in the global Hemodialysis & Peritoneal Dialysis market covered in Chapter 4:
Mar Cor Purification, Inc.
C. R. Bard Inc
Davita Healthcare Partners Inc.
Asahi Kasei Medical Co., Ltd.
Fresenius Medical Care AG & Co. KGAA
Isopure Corp.
Atlantic Biomedical
Baxter International Inc.
Allmed Medical Care Holdings Limited
Rockwell Medical
JMS Co. Ltd.
Diaverum Deutschland Gmbh
Nikkiso Co., Ltd.
Dialifegroup
Nipro Corporation
Nxstage Medical, Inc.
3M
Medtronic
B. Braun Melsungen AG
In Chapter 11 and 13.3, on the basis of types, the Hemodialysis & Peritoneal Dialysis market from 2015 to 2026 is primarily split into:
Dialyzer
Transfer Sets
Catheters
In Chapter 12 and 13.4, on the basis of applications, the Hemodialysis & Peritoneal Dialysis market from 2015 to 2026 covers:
Hospital
Clinics
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:
United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World
Direct Purchase Hemodialysis & Peritoneal Dialysis Market Research Report Now @ https://www.crediblemarkets.com/reports/purchase/hemodialysis-peritoneal-dialysis-market-81043?license_type=single_user
Some Points from Table of Content
Global Hemodialysis & Peritoneal Dialysis Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026
Chapter 1 Report Overview
Chapter 2 Global Market Growth Trends
Chapter 3 Value Chain of Hemodialysis & Peritoneal Dialysis Market
Chapter 4 Players Profiles
Chapter 5 Global Hemodialysis & Peritoneal Dialysis Market Analysis by Regions
Chapter 6 North America Hemodialysis & Peritoneal Dialysis Market Analysis by Countries
Chapter 7 Europe Hemodialysis & Peritoneal Dialysis Market Analysis by Countries
Chapter 8 Asia-Pacific Hemodialysis & Peritoneal Dialysis Market Analysis by Countries
Chapter 9 Middle East and Africa Hemodialysis & Peritoneal Dialysis Market Analysis by Countries
Chapter 10 South America Hemodialysis & Peritoneal Dialysis Market Analysis by Countries
Chapter 11 Global Hemodialysis & Peritoneal Dialysis Market Segment by Types
Chapter 12 Global Hemodialysis & Peritoneal Dialysis Market Segment by Applications
Chapter 13 Hemodialysis & Peritoneal Dialysis Market Forecast by Regions (2020-2026)
Chapter 14 Appendix
The research provides answers to the following key questions:
• What is the expected growth rate of the Hemodialysis & Peritoneal Dialysis market? What will be the market size for the forecast period, 2020 – 2026?
• What are the major driving forces responsible for transforming the trajectory of the industry?
• Who are major vendors dominating the Hemodialysis & Peritoneal Dialysis industry across different regions? What are their winning strategies to stay ahead in the competition?
• What are the market trends business owners can rely upon in the coming years?
• What are the threats and challenges expected to restrict the progress of the industry across different countries?
• What are the key opportunities that business owners can bank on for the forecast period, 2020 – 2026?
Contact for Any Query or Get Customized Report @ https://www.crediblemarkets.com/enquire-request/hemodialysis-peritoneal-dialysis-market-81043
About Credible Markets
Credible Markets has emerged as a dependable source for the market research needs of businesses within a quick time span. We have collaborated with leading publishers of market intelligence and the coverage of our reports reserve spans all the key industry verticals and thousands of micro markets. The massive repository allows our clients to pick from recently published reports from a range of publishers that also provide extensive regional and country-wise analysis. Moreover, pre-booked research reports are among our top offerings.
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Browse the Short Summary & TOC of the Report @ https://www.crediblemarkets.com/reports/hemodialysis-peritoneal-dialysis-market-81043
Thanks for reading this article you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.
Global Hemodialysis & Peritoneal Dialysis Market Research ReportsHemodialysis & Peritoneal DialysisHemodialysis & Peritoneal Dialysis ApplicationsHemodialysis & Peritoneal Dialysis Industry AnalysisHemodialysis & Peritoneal Dialysis Market 2019Hemodialysis & Peritoneal Dialysis Market 2020Hemodialysis & Peritoneal Dialysis Market CAGRHemodialysis & Peritoneal Dialysis Market ChallengesHemodialysis & Peritoneal Dialysis Market playersHemodialysis & Peritoneal Dialysis Market SalesHemodialysis & Peritoneal Dialysis SizeHemodialysis & Peritoneal Dialysis TechnologyHemodialysis & Peritoneal Dialysis TrendsHemodialysis & Peritoneal Dialysis Type
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| Hemodialysis & Peritoneal Dialysis Market has Huge Demand Global wide | Hemodialysis Peritoneal Dialysis Market Huge Demand Global wide Key Players Mar Cor Purification, ., C. R. Bard , Davita Healthcare Partners ., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International ., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, ., 3M, Medtronic, B. Braun Melsungen AG Owned Owned Market Reports Analytics Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study HomeCoronavirusHemodialysis Peritoneal Dialysis Market Huge Demand Global wide Key Players Mar Cor Purification, ., C. R. Bard , Davita Healthcare Partners ., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International ., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, ., 3M, Medtronic, B. Braun Melsungen AG Hemodialysis Peritoneal Dialysis Market Huge Demand Global wide Key Players Mar Cor Purification, ., C. R. Bard , Davita Healthcare Partners ., Asahi Kasei Medical Co., Ltd., Fresenius Medical Care AG Co. KGAA, Isopure Corp., Atlantic Biomedical, Baxter International ., Allmed Medical Care Holdings Limited, Rockwell Medical, JMS Co. Ltd., Diaverum Deutschland Gmbh, Nikkiso Co., Ltd., Dialifegroup, Nipro Corporation, Nxstage Medical, ., 3M, Medtronic, B. Braun Melsungen AG Posted On: September 6, 2020 Posted By: Credible Markets Comments: 0 The recent report GlobalHemodialysis Peritoneal Dialysis Market Report 2020 Key Players, Types, Applications, Countries, Market Size, Forecast 2026 offered Credible Markets, comprises comprehensive investigation geographical landscape, industry size revenue estimation business. Additionally, report highlights challenges impeding market growth expansion strategies employed leading companies Hemodialysis Peritoneal Dialysis Market. Impact Covid19 Hemodialysis Peritoneal Dialysis Market: Since COVID19 virus outbreak December 2019, disease spread country globe World Health Organization declaring public health emergency. The global impacts coronavirus disease 2019 COVID19 starting felt, significantly affect Hemodialysis Peritoneal Dialysis market 2020. The outbreak COVID19 brought effects aspects, like flight cancellations; travel bans quarantines; restaurants closed; indooroutdoor events restricted; countries state emergency declared; massive slowing supply chain; stock market volatility; falling business confidence, growing panic population, uncertainty future. Download FREE Sample Copy Hemodialysis Peritoneal Dialysis Market Report @ Key players global Hemodialysis Peritoneal Dialysis market covered Chapter 4: Mar Cor Purification, . C. R. Bard Davita Healthcare Partners . Asahi Kasei Medical Co., Ltd. Fresenius Medical Care AG Co. KGAA Isopure Corp. Atlantic Biomedical Baxter International . Allmed Medical Care Holdings Limited Rockwell Medical JMS Co. Ltd. Diaverum Deutschland Gmbh Nikkiso Co., Ltd. Dialifegroup Nipro Corporation Nxstage Medical, . 3M Medtronic B. Braun Melsungen AG In Chapter 11 13.3, basis types, Hemodialysis Peritoneal Dialysis market 2015 2026 primarily split into: Dialyzer Transfer Sets Catheters In Chapter 12 13.4, basis applications, Hemodialysis Peritoneal Dialysis market 2015 2026 covers: Hospital Clinics Geographically, detailed analysis consumption, revenue, market share growth rate, historic forecast 20152026 following regions covered Chapter 5, 6, 7, 8, 9, 10, 13: United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa Rest World Direct Purchase Hemodialysis Peritoneal Dialysis Market Research Report Now @ Some Points Table Content Global Hemodialysis Peritoneal Dialysis Market Report 2020 Key Players, Types, Applications, Countries, Market Size, Forecast 2026 Chapter 1Report Overview Chapter 2 Global Market Growth Trends Chapter 3 Value Chain Hemodialysis Peritoneal Dialysis Market Chapter 4 Players Profiles Chapter 5 Global Hemodialysis Peritoneal Dialysis Market Analysis Regions Chapter 6 North America Hemodialysis Peritoneal Dialysis Market Analysis Countries Chapter 7 Europe Hemodialysis Peritoneal Dialysis Market Analysis Countries Chapter 8 AsiaPacific Hemodialysis Peritoneal Dialysis Market Analysis Countries Chapter 9 Middle East Africa Hemodialysis Peritoneal Dialysis Market Analysis Countries Chapter 10 South America Hemodialysis Peritoneal Dialysis Market Analysis Countries Chapter 11 Global Hemodialysis Peritoneal Dialysis Market Segment Types Chapter 12 Global Hemodialysis Peritoneal Dialysis Market Segment Applications Chapter 13 Hemodialysis Peritoneal Dialysis Market Forecast Regions 20202026 Chapter 14 Appendix The research provides answers following key questions: What expected growth rate Hemodialysis Peritoneal Dialysis market? What market size forecast period, 2020 2026? What major driving forces responsible transforming trajectory industry? Who major vendors dominating Hemodialysis Peritoneal Dialysis industry different regions? What winning strategies stay ahead competition? What market trends business owners rely coming years? What threats challenges expected restrict progress industry different countries? What key opportunities business owners bank forecast period, 2020 2026? Any Query Get Customized Report @ About Credible Markets Credible Markets emerged dependable source market research needs businesses quick time span. We collaborated leading publishers market intelligence coverage reports reserve spans key industry verticals thousands micro markets. The massive repository allows clients pick recently published reports range publishers provide extensive regional countrywise analysis. Moreover, prebooked research reports offerings. Us Credible Markets Analytics 99 Wall Street 2124 New York, NY 10005 US No: 19294502887 Email: [emailprotected] Ask customization @ Browse Short Summary TOC Report @ Thanks reading article individual chapter wise section region wise report version like North America, Europe, MEA Asia Pacific. Global Hemodialysis Peritoneal Dialysis Market Research ReportsHemodialysis Peritoneal DialysisHemodialysis Peritoneal Dialysis ApplicationsHemodialysis Peritoneal Dialysis Industry AnalysisHemodialysis Peritoneal Dialysis Market 2019Hemodialysis Peritoneal Dialysis Market 2020Hemodialysis Peritoneal Dialysis Market CAGRHemodialysis Peritoneal Dialysis Market ChallengesHemodialysis Peritoneal Dialysis Market playersHemodialysis Peritoneal Dialysis Market SalesHemodialysis Peritoneal Dialysis SizeHemodialysis Peritoneal Dialysis TechnologyHemodialysis Peritoneal Dialysis TrendsHemodialysis Peritoneal Dialysis Type Post navigation Prev PostNext Post Owned Everestthemes | 2,020 | [
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