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https://www.defensedaily.com/pentagon-military-service-budget-requests-ai-may-see-avionics-applications/advanced-transformational-technology/ | 2020-02-14T00:00:00 | en | Pentagon and Military Service Budget Requests for AI May See Avionics Applications - Defense Daily |
Pentagon and Military Service Budget Requests for AI May See Avionics Applications - Defense Daily
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Advanced / Transformational Technology
Pentagon and Military Service Budget Requests for AI May See Avionics Applications
The Bell V-280 tiltrotor may benefit from the development of artificial intelligence capabilities funded by the U.S. Department of Defense's (DoD) 2021 budget request. Photo: Bell
Share:
By Frank Wolfe |
13 hours ago |
02/13/2020
Also In This Issue:Pentagon Offers $3.8 Billion for Border Wall Request from FY ’20 Equipment FundsArmy Details 20 Programs Cut, Reduced Or Delayed In FY ’21 Budget RequestPentagon and Military Service Budget Requests for AI May See Avionics ApplicationsNew Date Set for Final Advanced EHF Satellite Launch from CapeLawmakers Slam Pentagon Request to Divert Military Equipment Funds to Border WallNavy Request Outlines SSN(X) Next Sub DevelopmentNavy Ends Super Hornet Production After 2021, Redirects To Next Gen FighterPlanned W93 Warhead Will Contribute to new U.K. Nuke, DOD Officials SayPentagon, Microsoft Ordered To Pause Work On JEDI Cloud While Court Considers Amazon’s ProtestPetters Touts HII’s Position In Emerging Unmanned Space; Strong Growth ForecastHuntington Ingalls’ Sales Up, Profits Down In Fourth Quarter; Will Divest Oil And Gas Business
The Bell V-280 tiltrotor may benefit from the development of artificial intelligence capabilities funded by the U.S. Department of Defense’s (DoD) 2021 budget request. Photo: Bell
The Pentagon has requested $800 million for research and development for artificial intelligence (AI), including the Joint Artificial Intelligence Center (JAIC) and Project Maven, in the DoD fiscal 2021 budget released this week.
The military services also have funds in their budget requests for AI, which is likely to have significant impact on avionics systems. Officially launched by U.S. defense officials in 2017, Project Maven has looked to develop an AI tool to process data from full-motion video collected by unmanned aircraft and decrease the workload of intelligence analysts.
Google [GOOGL] was the prime contractor for Project Maven but dropped out last year after receiving pushback from employees about the company’s tools being used for an AI drone imaging effort. California-based big data analytics company, Palantir Technologies, co-founded and chaired by billionaire venture capitalist Peter Thiel, has assumed Google’s role, Business Insider reported in December.
With an eye to speeding battlefield decision making and cutting down on targeting errors eventually, JAIC has been working on disaster relief assistance tools and predictive maintenance algorithms for Army UH-60 Black Hawk helicopters, made by Lockheed Martin‘s [LMT] Sikorsky.
DoD’s investment in AI “has increased over the past six or seven years alongside investment by the civilian community,” C. Zachary Hofer, a senior aerospace and defense electronics analyst with Forecast International, wrote in an email to sister publication, Avionics International. “However, the technologies that enable high-level AI still require larger mainframe sizes, higher power consumption, and generate more heat than what is typically capable of being satisfied on board an aircraft. The generally best-considered way to handle AI on board air-based platforms has been to integrate sensors and data collection into highly versatile C5ISR networks, distributing intelligence through flexible node-based setups, including satellite networks, mobile and fixed ground systems, ships, and aircraft as distribution and processing channels.”
A Skyborg conceptual design for a low cost attritable Unmanned Combat Aerial Vehicle. Skyborg is one of the U.S. Air Force’s future-facing platforms that could benefit from artificial intelligence technology. Photo: Air Force Research Lab
AI could provide benefits to aircraft across the military services. The U.S. Army, for example, is exploring autonomous operations for major modernization efforts, including the Future Vertical Lift helicopter program, and Army Chief of Staff Gen. James McConville said last month that he envisions AI and machine learning enabling a “minimally-manned” fleet of platforms that have some personnel for situational awareness and safety measures, if an autonomous capability fails.
Also last month, Bell [TXT] said that its V-280 tiltrotor, an entry in the Army’s Future Long Range Assault Aircraft program, had test flown autonomously on Dec. 18.
Another significant AI-related effort is the U.S. Air Force Advanced Battle Management System (ABMS), designed to replace the tracking and service-wide information sharing capabilities of the Northrop Grumman [NOC] E-8C Joint Surveillance Targeting Attack Radar System (JSTARS) aircraft, canceled by the Air Force in fiscal 2019. The Air Force requested $302 million for ABMS in fiscal 2021, an increase of more than $158 million from last year’s congressionally enacted amount.
For ABMS in fiscal 2021, the Air Force plans to install an airborne gateway system on a Kratos [KTOS] XQ-58 Valkyrie unmanned aerial system, which the service has used in the Skyborg program to demonstrate the validity of an unmanned attritable “Loyal Wingman” system.
ABMS “will provide a highly flexible intelligence distribution network that will likely have networked AI processing capabilities included at some point in its development and implementation schedule,” Hofer wrote in his email.
In fiscal 2021, the Air Force has requested nearly $158 million for its first three vanguard programs – Skyborg, Golden Horde, and Navigation Technology Satellite 3 (NTS-3).
“The first iteration of Skyborg will integrate artificial intelligence into autonomous unmanned air vehicles to enable future manned-unmanned teaming,” according to the Air Force budget request. Golden Horde is to demonstrate collaborative autonomous networked weapons that share data and collaborate to defeat targets, while NTS-3 “will experiment on key aspects for new GPS receivers that incorporate multiple signals and readily adapt to warfighter needs,” according to the Air Force budget.
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| Pentagon and Military Service Budget Requests for AI May See Avionics Applications | Pentagon Military Service Budget Requests AI May See Avionics Applications Defense Daily Array Featured Categories Signup LOG IN Defense Daily subscriber registered users, log access content. Email Username Password ? Not subscriber registered user yet? Weve got covered Get Free Trial Here Need more? Please contact clientservices 8887075814 M Th 9 5:30 pm F 9 3 pm. ET , start free trial, pricing information, order reprint, post article link website. Signup Menu FREE ELetters Publications Events Podcasts Resources Contracts FREE ACCESS Press Releases FREE ACCESS Documents Defense Daily Issue Archive Career Center Advertise With Us Sitemap Defense Daily 2020 Access Intelligence, LLC . Registration use site constitutes acceptance , Private Policy, Policy. Advanced Transformational Technology Pentagon Military Service Budget Requests AI May See Avionics Applications The Bell V280 tiltrotor benefit development artificial intelligence capabilities funded U.S. Department Defenses DoD 2021 budget request. Photo: Bell Share: By Frank Wolfe 13 hours ago 02132020 Also In This Issue:Pentagon Offers 3.8 Billion Border Wall Request FY 20 Equipment FundsArmy Details 20 Programs Cut, Reduced Or Delayed In FY 21 Budget RequestPentagon Military Service Budget Requests AI May See Avionics ApplicationsNew Date Set Final Advanced EHF Satellite Launch CapeLawmakers Slam Pentagon Request Divert Military Equipment Funds Border WallNavy Request Outlines SSNX Next Sub DevelopmentNavy Ends Super Hornet Production After 2021, Redirects To Next Gen FighterPlanned W93 Warhead Will Contribute new U.K. Nuke, DOD Officials SayPentagon, Microsoft Ordered To Pause Work On JEDI Cloud While Court Considers Amazons ProtestPetters Touts HIIs Position In Emerging Unmanned Space; Strong Growth ForecastHuntington Ingalls Sales Up, Profits Down In Fourth Quarter; Will Divest Oil And Gas Business The Bell V280 tiltrotor benefit development artificial intelligence capabilities funded U.S. Department Defenses DoD 2021 budget request. Photo: Bell The Pentagon requested 800 million research development artificial intelligence AI, including Joint Artificial Intelligence Center JAIC Project Maven, DoD fiscal 2021 budget released week. The military services funds budget requests AI, likely significant impact avionics systems. Officially launched U.S. defense officials 2017, Project Maven looked develop AI tool process data fullmotion video collected unmanned aircraft decrease workload intelligence analysts. Google [GOOGL] prime contractor Project Maven dropped year receiving pushback employees companys tools AI drone imaging effort. Californiabased big data analytics company, Palantir Technologies, cofounded chaired billionaire venture capitalist Peter Thiel, assumed Googles role, Business Insider reported December. With eye speeding battlefield decision making cutting targeting errors eventually, JAIC working disaster relief assistance tools predictive maintenance algorithms Army UH60 Black Hawk helicopters, Lockheed Martins [LMT] Sikorsky. DoDs investment AI increased past seven years alongside investment civilian community, C. Zachary Hofer, senior aerospace defense electronics analyst Forecast International, wrote email sister publication, Avionics International. However, technologies enable highlevel AI require larger mainframe sizes, higher power consumption, generate heat typically capable satisfied board aircraft. The generally bestconsidered way handle AI board airbased platforms integrate sensors data collection highly versatile C5ISR networks, distributing intelligence flexible nodebased setups, including satellite networks, mobile fixed ground systems, ships, aircraft distribution processing channels. A Skyborg conceptual design low cost attritable Unmanned Combat Aerial Vehicle. Skyborg U.S. Air Forces futurefacing platforms benefit artificial intelligence technology. Photo: Air Force Research Lab AI provide benefits aircraft military services. The U.S. Army, example, exploring autonomous operations major modernization efforts, including Future Vertical Lift helicopter program, Army Chief Staff Gen. James McConville said month envisions AI machine learning enabling minimallymanned fleet platforms personnel situational awareness safety measures, autonomous capability fails. Also month, Bell [TXT] said V280 tiltrotor, entry Armys Future Long Range Assault Aircraft program, test flown autonomously Dec. 18. Another significant AIrelated effort U.S. Air Force Advanced Battle Management System ABMS, designed replace tracking servicewide information sharing capabilities Northrop Grumman [NOC] E8C Joint Surveillance Targeting Attack Radar System JSTARS aircraft, canceled Air Force fiscal 2019. The Air Force requested 302 million ABMS fiscal 2021, increase 158 million years congressionally enacted amount. For ABMS fiscal 2021, Air Force plans install airborne gateway Kratos [KTOS] XQ58 Valkyrie unmanned aerial system, service Skyborg program demonstrate validity unmanned attritable Loyal Wingman system. ABMS provide highly flexible intelligence distribution network likely networked AI processing capabilities included point development implementation schedule, Hofer wrote email. In fiscal 2021, Air Force requested nearly 158 million vanguard programs Skyborg, Golden Horde, Navigation Technology Satellite 3 NTS3. The iteration Skyborg integrate artificial intelligence autonomous unmanned air vehicles enable future mannedunmanned teaming, according Air Force budget request. Golden Horde demonstrate collaborative autonomous networked weapons share data collaborate defeat targets, NTS3 experiment key aspects new GPS receivers incorporate multiple signals readily adapt warfighter needs, according Air Force budget. Recommended Test Aircraft Airpower Teaming System Flies First Time, Boeing Australia Says Elbit Showcasing MAGNI Intelligence Drone Paris Homeland Security Conference Companies Developing Lethal Autonomous Weapons, As Groups Seek Ban DARPA And Marine Corps Cancel ARES Program For Cost Growth, Delays free preview close x Defense Daily readers exclusive defense industry newsevery business day. Here Us Sitemap 2020 Access Intelligence, LLC. . Signup Featured Categories Advanced Transformational Technology Air Force Analysis Army Budget BusinessFinancial Column Congress Cyber Force Multipliers General Homeland Security IIOT Intelligence Community International Missile Defense NavyUSMC Nuclear Modernization Partner Content Pentagon Press Releases Space Special Operations Unmanned Systems Weapons Defense Daily 2020 Access Intelligence, LLC . Registration use site constitutes acceptance , Private Policy, Policy. Some Title Goes Here | 2,020 | [
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https://thedailychronicle.in/news/1763528/conversational-ai-market-size-share-2020-growth-analysis-share-demand-by-regions-types-and-analysis-of-key-players-research-forecasts-to-2024-says-market-research-engine/ | 2020-09-23T00:00:00 | en | Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players- Research Forecasts To 2024| Says Market Research Engine – The Daily Chronicle |
Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players- Research Forecasts To 2024| Says Market Research Engine – The Daily Chronicle
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Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players- Research Forecasts To 2024| Says Market Research Engine
Post author
By marketresearchengine
Post date
23rd September 2020
The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies.
The global Conversational AI market is expected to exceed more than US$ 16 Billion by 2024 at a CAGR of 30% in the given forecast period.
Browse Full Report: https://www.marketresearchengine.com/conversational-ai-market
Based on Type, the global Conversational AI market is segmented in Intelligent Virtual Assistants and Chat bots. The report also bifurcates the global Conversational AI market based on Technology in Machine Learning and Deep Learning, Natural Language Processing, and Automated Speech Recognition.
The global Conversational AI market report provides geographic analysis covering regions, such as North America, Europe, Asia-Pacific, and Rest of the World. The Conversational AI market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.
The global Conversational AI market is segregated on the basis of Component as Platform and Services. Based on Deployment the global Conversational AI market is segmented in Cloud and On-Premises. Based on End-User Industry the global Conversational AI market is segmented in Retail and E-commerce, Healthcare and Life Sciences, BFSI, Travel and Hospitality, Telecom, Media and Entertainment, and Others.
It talks about the use of electronic messaging apps and chatbots to alter the communication and make customized consumer encounters at scale as conversational AI. Conversational AI applications empower long-running associations with purchasers by means of content or voice utilizing the foremost interactive interface available: traditional language
A huge number of individuals use Kick, Facebook messenger, and WhatsApp other messaging platforms to talk with their adored ones consistently. Many others are attempting different things with speech-based helps like Google Home and Amazon Alexa. Resultantly, speech-based apps and messaging apps are quickly uprooting customary web and mobile applications to turn into the new mode for interactive discussions.
Competitive Rivalry
AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance, Conversica, and others are among the major players in the global Conversational AI market. The companies are involved in several growth and expansion strategies to gain a competitive advantage. Industry participants also follow value chain integration with business operations in multiple stages of the value chain.
The Conversational AI Market has been segmented as below:
The Conversational AI Market is segmented on the lines of Conversational AI Market, By Component, Conversational AI Market, By Deployment, Conversational AI Market, By End-User Industry, Conversational AI Market, By Type, Conversational AI Market, By Technology, Conversational AI Market, By Region and Conversational AI Market, By Company.
Conversational AI Market, By Component this market is segmented on the basis of Platform and Services. Conversational AI Market, By Deployment this market is segmented on the basis of Cloud and On-Premises. Conversational AI Market, By End-User Industry this market is segmented on the basis of Retail and E-commerce, Healthcare and Life Sciences, BFSI, Travel and Hospitality, Telecom, Media and Entertainment and Others. Conversational AI Market, By Type this market is segmented on the basis of Intelligent Virtual Assistants and Chatbots. Conversational AI Market, By Technology this market is segmented on the basis of Machine Learning and Deep Learning, Natural Language Processing and Automated Speech Recognition. Conversational AI Market, By Region this market is segmented on the basis of North America, Europe, Asia-Pacific and Rest of the World. Conversational AI Market, By Company this market is segmented on the basis of AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance and Conversica.
The report covers:
Global Conversational AI market sizes from 2015 to 2024, along with CAGR for 2018-2024
Market size comparison for 2017 vs 2024, with actual data for 2017, estimates for 2018 and forecast from 2019 to 2024
Global Conversational AI market trends, covering comprehensive range of consumer trends & manufacturer trends
Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Conversational AI market
Major market opportunities and challenges in forecast timeframe to be focused
Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
Comprehensive company profiles of the key industry players
The global Conversational AI market report scope includes detailed study covering underlying factors influencing the industry trends.
The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Conversational AI market share. Major industry players with significant revenue share include AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance, Conversica, and others.
Reasons to Buy this Report:
Gain detailed insights on the Conversational AI industry trends
Find complete analysis on the market status
Identify the Conversational AI market opportunities and growth segments
Analyze competitive dynamics by evaluating business segments & product portfolios
Facilitate strategy planning and industry dynamics to enhance decision making
Request Sample Report from here: https://www.marketresearchengine.com/conversational-ai-market
Table of Contents:
Introduction
Research Methodology
Executive Summary
Market Overview
4.1 Introduction
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Challenges
4.2 Porter’s Five Force Analysis
5. Conversational AI Market, By Component
Conversational AI Market, By Deployment
Conversational AI Market, By End-User Industry
Conversational AI Market, By Type
Conversational AI Market, By Technology
Conversational AI Market, By Geography
Competitive Insights
Company Profiles
12.1 AWS
12.1.1 Company Overview
12.1.2 Product/Service Landscape
12.1.3 Financial Overview
12.1.4 Recent Developments
12.2 IBM
12.2.1 Company Overview
12.2.2 Product/Service Landscape
12.2.3 Financial Overview
12.2.4 Recent Developments
12.3 Microsoft Co
12.3.1 Company Overview
12.3.2 Product/Service Landscape
12.3.3 Financial Overview
12.3.4 Recent Developments
12.4 Google
12.4.1 Company Overview
12.4.2 Product/Service Landscape
12.4.3 Financial Overview
12.4.4 Recent Developments
12.5 SAP
12.5.1 Company Overview
12.5.2 Product/Service Landscape
12.5.3 Financial Overview
12.5.4 Recent Developments
12.6 Artificial Solutions
12.6.1 Company Overview
12.6.2 Product/Service Landscape
12.6.3 Financial Overview
12.6.4 Recent Developments
12.7 Baidu
12.7.1 Company Overview
12.7.2 Product/Service Landscape
12.7.3 Financial Overview
12.7.4 Recent Developments
12.8 Avaamo
12.8.1 Company Overview
12.8.2 Product/Service Landscape
12.8.3 Financial Overview
12.8.4 Recent Developments
12.9 Nuance
12.9.1 Company Overview
12.9.2 Product/Service Landscape
12.9.3 Financial Overview
12.9.4 Recent Developments
12.10 Conversica
12.10.1 Company Overview
12.10.2 Product/Service Landscape
12.10.3 Financial Overview
12.10.4 Recent Developments
Other Related Market Research Reports:
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Healthcare Analytics Market is Expected to Exhibit US$ 50 Billion by 2024
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| Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players- Research Forecasts To 2024 | Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players Research Forecasts To 2024 Says Market Research Engine The Daily Chronicle Skip content The Daily ChronicleScience, Satellite Space Daily News Menu Energy NASA Satellite Space News Market Reports for: Close search Close Menu Energy NASA Satellite Space News Market Reports Categories Coronavirus Market Reports News Conversational AI Market Size, Share 2020 Growth Analysis, Share, Demand By Regions, Types And Analysis Of Key Players Research Forecasts To 2024 Says Market Research Engine Post author By marketresearchengine Post date 23rd September 2020 The report covers analysis regional country level market dynamics. The scope covers competitive overview providing company market shares company profiles major revenue contributing companies. The global Conversational AI market expected exceed US 16 Billion 2024 CAGR 30 given forecast period. Browse Full Report: Based Type, global Conversational AI market segmented Intelligent Virtual Assistants Chat bots. The report bifurcates global Conversational AI market based Technology Machine Learning Deep Learning, Natural Language Processing, Automated Speech Recognition. The global Conversational AI market report provides geographic analysis covering regions, North America, Europe, AsiaPacific, Rest World. The Conversational AI market region segmented major countries including U.S., Canada, Germany, U.K., France, Italy, China, India, Japan, Brazil, South Africa, others. The global Conversational AI market segregated basis Component Platform Services. Based Deployment global Conversational AI market segmented Cloud OnPremises. Based EndUser Industry global Conversational AI market segmented Retail Ecommerce, Healthcare Life Sciences, BFSI, Travel Hospitality, Telecom, Media Entertainment, Others. It talks use electronic messaging apps chatbots alter communication customized consumer encounters scale conversational AI. Conversational AI applications empower longrunning associations purchasers means content voice utilizing foremost interactive interface available: traditional language A huge number individuals use Kick, Facebook messenger, WhatsApp messaging platforms talk adored ones consistently. Many attempting different things speechbased helps like Google Home Amazon Alexa. Resultantly, speechbased apps messaging apps quickly uprooting customary web mobile applications turn new mode interactive discussions. Competitive Rivalry AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance, Conversica, major players global Conversational AI market. The companies involved growth expansion strategies gain competitive advantage. Industry participants follow value chain integration business operations multiple stages value chain. The Conversational AI Market segmented below: The Conversational AI Market segmented lines Conversational AI Market, By Component, Conversational AI Market, By Deployment, Conversational AI Market, By EndUser Industry, Conversational AI Market, By Type, Conversational AI Market, By Technology, Conversational AI Market, By Region Conversational AI Market, By Company. Conversational AI Market, By Component market segmented basis Platform Services. Conversational AI Market, By Deployment market segmented basis Cloud OnPremises. Conversational AI Market, By EndUser Industry market segmented basis Retail Ecommerce, Healthcare Life Sciences, BFSI, Travel Hospitality, Telecom, Media Entertainment Others. Conversational AI Market, By Type market segmented basis Intelligent Virtual Assistants Chatbots. Conversational AI Market, By Technology market segmented basis Machine Learning Deep Learning, Natural Language Processing Automated Speech Recognition. Conversational AI Market, By Region market segmented basis North America, Europe, AsiaPacific Rest World. Conversational AI Market, By Company market segmented basis AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance Conversica. The report covers: Global Conversational AI market sizes 2015 2024, CAGR 20182024 Market size comparison 2017 vs 2024, actual data 2017, estimates 2018 forecast 2019 2024 Global Conversational AI market trends, covering comprehensive range consumer trends manufacturer trends Value chain analysis covering participants raw material suppliers downstream buyer global Conversational AI market Major market opportunities challenges forecast timeframe focused Competitive landscape analysis competition pattern, portfolio comparisons, development trends strategic management Comprehensive company profiles key industry players The global Conversational AI market report scope includes detailed study covering underlying factors influencing industry trends. The report scope includes detailed competitive outlook covering market shares profiles key participants global Conversational AI market share. Major industry players significant revenue share include AWS, IBM, Microsoft Co, Google, SAP, Artificial Solutions, Baidu, Avaamo, Nuance, Conversica, others. Reasons Buy Report: Gain detailed insights Conversational AI industry trends Find complete analysis market status Identify Conversational AI market opportunities growth segments Analyze competitive dynamics evaluating business segments product portfolios Facilitate strategy planning industry dynamics enhance decision making Request Sample Report here: Table Contents: Introduction Research Methodology Executive Summary Market Overview 4.1 Introduction 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.2.4 Challenges 4.2 Porters Five Force Analysis 5. Conversational AI Market, By Component Conversational AI Market, By Deployment Conversational AI Market, By EndUser Industry Conversational AI Market, By Type Conversational AI Market, By Technology Conversational AI Market, By Geography Competitive Insights Company Profiles 12.1 AWS 12.1.1 Company Overview 12.1.2 ProductService Landscape 12.1.3 Financial Overview 12.1.4 Recent Developments 12.2 IBM 12.2.1 Company Overview 12.2.2 ProductService Landscape 12.2.3 Financial Overview 12.2.4 Recent Developments 12.3 Microsoft Co 12.3.1 Company Overview 12.3.2 ProductService Landscape 12.3.3 Financial Overview 12.3.4 Recent Developments 12.4 Google 12.4.1 Company Overview 12.4.2 ProductService Landscape 12.4.3 Financial Overview 12.4.4 Recent Developments 12.5 SAP 12.5.1 Company Overview 12.5.2 ProductService Landscape 12.5.3 Financial Overview 12.5.4 Recent Developments 12.6 Artificial Solutions 12.6.1 Company Overview 12.6.2 ProductService Landscape 12.6.3 Financial Overview 12.6.4 Recent Developments 12.7 Baidu 12.7.1 Company Overview 12.7.2 ProductService Landscape 12.7.3 Financial Overview 12.7.4 Recent Developments 12.8 Avaamo 12.8.1 Company Overview 12.8.2 ProductService Landscape 12.8.3 Financial Overview 12.8.4 Recent Developments 12.9 Nuance 12.9.1 Company Overview 12.9.2 ProductService Landscape 12.9.3 Financial Overview 12.9.4 Recent Developments 12.10 Conversica 12.10.1 Company Overview 12.10.2 ProductService Landscape 12.10.3 Financial Overview 12.10.4 Recent Developments Other Related Market Research Reports: Business Intelligence Platform Market Anticipated Grow US 10.8 Billion 2024 Healthcare Analytics Market Expected Exhibit US 50 Billion 2024 Market Research Engine MRE nextgeneration provider syndicated research, customized research, consulting services. MREs global regional market intelligence coverage includes industries pharmaceutical, chemicals materials, technology media, food beverages, consumer goods, others. Each Market Research Engines research report provides clients 360degree view market statistical forecasts, competitive landscape, detailed segmentation, key trends, strategic recommendations. Media Company Name: Market Research Engine Person: John Bay Email: [emailprotected] Phone: 18559841862 Country: United States Website: Tags Analysis, asian stock market, behavioral segmentation, Business analysis, Business Analytics, business impact analysis, business news, Business Strategy, COMPETITIVE ANALYSIS, competitor analysis, Conversational AI Market, finance news, financial risk, forecast, growth strategy, Industry Analysis, key success factors, market development, market news, Market Research, market risk, market segmentation, market value, market watch, markets today, marketwatch, new opportunities, Research Report, Statistics, stock market Impact COVID19 Residential Combined Heat And Power Market 2020 Size, Growth, Demand, Opportunities Forecast To 2026 Sonic Development , Marathon Engine Systems, Toshiba Fuel Cell Power Systems Corporation, Honda, Yanmar Co. Comprehensive Report Chlorinated Polyvinyl Chloride Cpvc Pipes Market 2020 Size, Growth, Demand, Opportunities Forecast To 2026 North American Specialty Products LLC US, Future Pipe Industries UAE, National Pipe Plastics, . US, Plastika AS Czech Republic for: Recent Posts Auto Draft Auto Draft Global Wound Dressings Market Size Research Report 20202026 Top leading companies like Integra LifeSciences US, Smith Nephew UK, US, Mlnlycke Health Care AB Sweden, ConvaTec . Airport Snow Removal Equipment Market Global Sales, Revenue, Price Gross Margin Forecast To 2028 IOT Market Study Report 20202026, Competitive Analysis, Proposal Strategy, Potential Targets, Assessment And Recommendations Market Research Engine 2020 The Daily Chronicle Powered WordPress To Up | 2,020 | [
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https://krdo.com/politics/2020/12/16/artificial-intelligence-co-pilots-us-military-aircraft-for-the-first-time/ | 2020-12-16T00:00:00 | en | Artificial intelligence co-pilots US military aircraft for the first time - KRDO |
Artificial intelligence co-pilots US military aircraft for the first time - KRDO
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By CNN
Published
December 16, 2020
11:03 am
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Artificial intelligence co-pilots US military aircraft for the first time
Artificial intelligence helped co-pilot a U-2 “Dragon Lady” spy plane during a test flight Tuesday, the first time artificial intelligence has been used in such a way aboard a US military aircraft.
Mastering artificial intelligence or “AI” is increasingly seen as critical to the future of warfare and Air Force officials said Tuesday’s training flight represented a major milestone.
“The Air Force flew artificial intelligence as a working aircrew member onboard a military aircraft for the first time, December 15,” the Air Force said in a statement, saying the flight signaled “a major leap forward for national defense in the digital age.”
The Artificial Intelligence algorithm, known as “ARTUµ,” was developed by researchers at the Air Force’s Air Combat Command U-2 Federal Laboratory.
The AI system has been “trained … to execute specific in-flight tasks that otherwise would be done by the pilot,” the statement said.
Co-pilots
During Tuesday’s training flight, the ARTUµ algorithm partnered with a human Air Force officer who was piloting the aircraft, with the AI system being “responsible for sensor employment and tactical navigation.”
“Together, they flew a reconnaissance mission during a simulated missile strike. ARTUµ’s primary responsibility was finding enemy launchers while the pilot was on the lookout for threatening aircraft, both sharing the U-2’s radar,” the Air Force statement said.
Air Force officials touted Tuesday’s training flight as a major achievement.
“Putting AI safely in command of a US military system for the first time ushers in a new age of human-machine teaming and algorithmic competition. Failing to realize AI’s full potential will mean ceding decision advantage to our adversaries,” Dr. Will Roper, the assistant secretary of the Air Force for acquisition, technology and logistics, said in the statement announcing the test.
‘Incredibly powerful’
A Pentagon report released earlier this year said that “China views AI as critical to its future military and industrial power” and that Beijing “is making strategic investments worldwide in AI to reap national security and economic benefits.”
“During the past five years, China has made achievements in AI-enabled unmanned surface vessels, which China plans to use to patrol and bolster its territorial claims in the South China Sea. China has also tested unmanned tanks as part of research efforts to integrate AI into ground forces’ equipment,” the report added.
In two separate speeches earlier this month, Chairman of the Joint Chiefs of Staff Gen. Mark Milley said that artificial intelligence and robotics will play a large role in the future of military conflicts in the next 10 to 15 years.
“Artificial intelligence: That is an incredibly powerful technology that is coming very, very fast, not only in civil society in the commercial world, but it’s going to have tremendously powerful applications in the military,” Milley said in a speech at the Brookings Institution.
“Maybe (in) 10 to 15 years max, you are going to see the widespread, ubiquitous use of robots throughout most militaries in the world,” Milley said in a second speech.
CNN
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| Artificial intelligence co-pilots US military aircraft for the first time | Artificial intelligence copilots US military aircraft time KRDO circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin Home News Live Newscasts KRDO 2020 Voter Guide COVID19 Absolutely Colorado News Channel 13 Investigates Colorado Springs Pueblo Colorado USWorld Crime Money Politics Military Weather Closures Delays Weather Maps Forecasts Live HD Doppler Neighborhood Weather Network Viaero Wireless Network Cameras Weather Video Ski Report Weather Photo Galleries Traffic Distracted Driving Gas Prices Sports Friday Night Blitz Radio KRDO NewsRadio Traffic Weather Maps Forecasts Listen Live Radio Program Guide Podcasts Radio Contests Pet Week Ask Doctors Troubleshooter Show Videos Galleries Must See Videos MustSee Photo Galleries Live Newscasts EventBreaking Livestreams Your Voice Your Vote KRDO 2020 Voter Guide Politics Election Results 2020 Interactive Results Election Interactives Telemundo Telemundo Programacion Holiday Showcase Life Back2Business House Home Your Money Safe Home Events Southern Colorado Jobs Pets Pet Week Travel Wear Red Friday Hero Shop Back2Business Marketplace CoLocalLinks Buy Local Symphony Tickets Health HealthTracker Guerra Dental PENRAD Imaging Play Contests Radio Contests Entertainment Share Submit Tips, Pics Video Advertise Us KRDO Meet Team Closed Captioning Download Apps EEO Public Filing FCC Public File KRDO Jobs Internships NewslettersAlerts Radio Program Guide TV Listings Skip Content News Weather Traffic LocalLinks Radio Life Health Play Share Live Colorado Springs 43 Download Our Apps Recent Stories 2021 college applications slight uptick Colorado Springs Fired DHS official: Dangerous embrace false baseless attacks election A new voice new ideas: Biden introduces Pete Buttigieg transportation secretary nominee A mayor received threats supporting mask mandate resigned Giannis Antetokounmpo firma el mayor contrato en la historia la NBA : More Local News Stable population lynx Colorado reintroduction 20 years ago 2021 college applications slight uptick Colorado Penrose Hospital St. Francis Medical Center start vaccination clinics Pueblo County receives shipment Pfizer COVID19 vaccine PenroseSt. Francis Health Services receive COVID19 vaccines Oncampus COVID19 rapid testing coming Colorado schools, according Governor Politics By CNN Published December 16, 2020 11:03 Share FacebookShare Twitter Share Linkedin Artificial intelligence copilots US military aircraft time Artificial intelligence helped copilot U2 Dragon Lady spy plane test flight Tuesday, time artificial intelligence way aboard US military aircraft. Mastering artificial intelligence AI increasingly seen critical future warfare Air Force officials said Tuesdays training flight represented major milestone. The Air Force flew artificial intelligence working aircrew member onboard military aircraft time, December 15, Air Force said statement, saying flight signaled major leap forward national defense digital age. The Artificial Intelligence algorithm, known ARTU, developed researchers Air Forces Air Combat Command U2 Federal Laboratory. The AI trained execute specific inflight tasks pilot, statement said. Copilots During Tuesdays training flight, ARTU algorithm partnered human Air Force officer piloting aircraft, AI responsible sensor employment tactical navigation. Together, flew reconnaissance mission simulated missile strike. ARTUs primary responsibility finding enemy launchers pilot lookout threatening aircraft, sharing U2s radar, Air Force statement said. Air Force officials touted Tuesdays training flight major achievement. Putting AI safely command US military time ushers new age humanmachine teaming algorithmic competition. Failing realize AIs potential mean ceding decision advantage adversaries, Dr. Will Roper, assistant secretary Air Force acquisition, technology logistics, said statement announcing test. redibly powerful A Pentagon report released earlier year said China views AI critical future military industrial power Beijing making strategic investments worldwide AI reap national security economic benefits. During past years, China achievements AIenabled unmanned surface vessels, China plans use patrol bolster territorial claims South China Sea. China tested unmanned tanks research efforts integrate AI ground forces equipment, report added. In separate speeches earlier month, Chairman Joint Chiefs Staff Gen. Mark Milley said artificial intelligence robotics play large role future military conflicts 10 15 years. Artificial intelligence: That incredibly powerful technology coming very, fast, civil society commercial world, going tremendously powerful applications military, Milley said speech Brookings Institution. Maybe 10 15 years max, going widespread, ubiquitous use robots militaries world, Milley said second speech. CNN Related Articles Fired DHS official: Dangerous embrace false baseless attacks election A new voice new ideas: Biden introduces Pete Buttigieg transportation secretary nominee Hill leaders eye new round stimulus checks 900 billion Covid relief deal Congressional inaugural committee announces attendance limited Bidens inauguration Comments Leave Reply Cancel replyYou logged post comment. KRDO FCC Public File KRDO FCC Applications Do Not Sell My Personal Information Email Alerts Breaking News Severe Weather Morning Forecast Daily Briefing Contests Promotions Download Our Apps Available iOS Android 2020, Pikes Peak Television, . 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https://www.techradar.com/au/news/cant-decide-which-pc-game-to-play-next-steams-ai-will-choose-a-game-from-your-library | 2020-05-15T00:00:00 | en | Can’t decide which PC game to play next? Steam’s AI will choose a game from your library | TechRadar |
Can’t decide which PC game to play next? Steam’s AI will choose a game from your library | TechRadar
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Can’t decide which PC game to play next? Steam’s AI will choose a game from your library
By
Darren Allan
15 May 2020
Play Next feature makes the transition from Steam Labs testing
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(Image credit: Shutterstock)
Steam will now analyze your existing library of games and tell you which title you might want to play next based on your past gaming history on the platform.This feature is called Play Next, rather appropriately, and it uses machine learning to try to discern which games you might enjoy from your Steam collection. It’s particularly aimed at those PC gamers who have a massive library of titles bought on Steam, and therefore might be rather bewildered as to what to try next – so the theory is it should help them make a more informed decision.We've chosen the best Steam games of 2020Here are the best gaming PCsOr we'll show you how to build a PCPreviously, this feature was an experimental one being tested in Steam Labs, but it has now been cleared to go live with the full Steam client, so when you pick up the next update, suggested games are now highlighted in a Play Next shelf.You can, of course, ignore the shelf if you wish, but apparently it’s got some ‘positive feedback’ from testers in the past, hence why Valve has gone ahead with fully introducing it.Solid suggestions?Having a quick look in our Steam account, the suggestions made seem fairly appropriate ones, although with a feature like this, there’s a good chance that mileage may vary somewhat from user to user.If you have multiple copies of the same game, for instance, the algorithm seems to recommend games you may have already played. For instance, it recommended our computing editor the Batman Arkham City Game of the Year edition and Bioshock 2 remastered – two games they've definitely already played. On the whole, however, it’s something which could be a useful addition, and if you don’t want to know what Steam’s AI algorithms think about your gaming habits, then you can simply ignore the Play Next shelf.In other recent Steam news, Valve’s big summer sale will purportedly kick off next month on June 25, or that’s the word from the rumor mill (and indeed the source it was correct about last year’s sale).Check out the best processors of 2020Via Neowin
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| Can’t decide which PC game to play next? Steam’s AI will choose a game from your library | Cant decide PC game play next? Steams AI choose game library TechRadar Skip main content TechRadar The source Tech Buying Advice RSS Please deactivate ad blocker order subscription offer Reviews News How To Phones Laptops TVs More Security Gaming Computing Cameras Audiovisual Wearables Tablets Car Tech Pro EOFY 2020 Trending iPhone SE PS5 Disney Free stuff Things iPhone 12 VPN Click Frenzy TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Cant decide PC game play next? Steams AI choose game library By Darren Allan 15 May 2020 Play Next feature makes transition Steam Labs testing Shares Image credit: Shutterstock Steam analyze existing library games tell title want play based past gaming history platform.This feature called Play Next, appropriately, uses machine learning try discern games enjoy Steam collection. Its particularly aimed PC gamers massive library titles bought Steam, bewildered try theory help informed decision.Weve chosen thebest Steam games 2020Here best gaming PCsOr build PCPreviously, feature experimental tested Steam Labs, cleared live Steam client, pick update, suggested games highlighted Play Next shelf.You can, course, ignore shelf wish, apparently got positive feedback testers past, Valve gone ahead fully introducing it.Solid suggestions?Having quick look Steam account, suggestions fairly appropriate ones, feature like this, theres good chance mileage vary somewhat user user.If multiple copies game, instance, algorithm recommend games played. For instance, recommended computing editor Batman Arkham City Game Year edition Bioshock 2 remastered games theyve definitely played.On whole, however, useful addition, dont want know Steams AI algorithms think gaming habits, simply ignore Play Next shelf.In recent Steam news, Valves big summer sale purportedly kick month June 25, thats word rumor source correct years sale.Check best processors 2020Via Neowin See PC news Tech deals, prizes latest news Get best tech deals, reviews, product advice, competitions, unmissable tech news Thank signing TechRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1 Google Play Music disappearing heres save music 2 Google Chromecast Ultra 2 release date, price, news rumors 3 AMD threatens wreck Nvidias launch party monster graphics card release 4 Nvidia GeForce RTX 3000 graphics cards 4K graphics norm PC gaming 5 Best free games 2020: free games download PC 1 Get incredible deals Samsung smartphones quick 2 Huge iPhone 12 Max leak told phones 3 Nvidia GeForce RTX 3000, il 4K fluido come non lavete mai visto 4 This PS5 demo impressive look gen far 5 AMD threatens wreck Nvidias launch party monster graphics card release TechRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future Publishing Australia ABN: 96 734 906 323 PO Box 1077, Mount St, North Sydney NSW 2059. | 2,020 | [
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https://primefeed.in/market-price-analysis/5261211/coronavirus-disease-covid-19-impact-global-ai-in-aviation-market-report-top-companies-like-intel-corporation-garmin-ltd-ibm-corporation-airbus-se-boeing/ | 2020-10-03T00:00:00 | en | Coronavirus Disease (COVID-19) Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing – Owned |
Coronavirus Disease (COVID-19) Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing – Owned
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Coronavirus Disease (COVID-19) Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing
Post author
By ashutoshdubecmr
Post date
October 2, 2020
Global Coronavirus pandemic has impacted all industries across the globe, AI In Aviation market being no exception. As Global economy heads towards major recession post 2009 crisis, Cognitive Market Research has published a recent study which meticulously studies impact of this crisis on Global AI In Aviation market and suggests possible measures to curtail them. This press release is a snapshot of research study and further information can be gathered by accessing complete report. To Contact Research Advisor Mail us @ [email protected] or call us on +1-312-376-8303.
The research report on global AI In Aviation market as well as industry is a detailed study that provides detailed information of major key players, product types & applications/end-users; historical figures, region analysis, market drivers/opportunities & restraints forecast scenarios, strategic planning, and a precise section for the effect of Covid-19 on the market. Our research analysts intensively determine the significant outlook of the global AI In Aviation market study with regard to primary & secondary data and they have represented it in the form of graphs, pie charts, tables & other pictorial representations for better understanding.
Hardware, Software, Services are some of the key types of market. All the type segments have been analyzed based on present and future trends and the market is estimated from 2020 to 2027. Based on the application segment, the global market can be classified into Surveillance, Virtual Assistance, Flight Operations, Smart Logistics, Others . The analysis of application segment will help to analyze the demand for market across different end-use industries.
Request Free Sample Copy of AI In Aviation Market Research [email protected] https://cognitivemarketresearch.com/electronics-%26-electrical/ai-in-aviation-market-report#download_report
Amid the COVID-19 pandemic, the industry is witnessing a major change in operations.Some of the key players include Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code, Searidge Technologies . key players are changing their recruitment practices to comply with the social distancing norms enforced across several regions to mitigate the risk of infection. Additionally, companies are emphasizing on using advanced recruiting solutions and digital assets to avoid in-person meetings. Advanced technologies and manufacturing process are expected to play a decisive role in influencing the competitiveness of the market players.
Regional Analysis for AI In Aviation Market:
• North America (United States, Canada)
• Europe (Germany, Spain, France, UK, Russia, and Italy)
• Asia-Pacific (China, Japan, India, Australia, and South Korea)
• Latin America (Brazil, Mexico, etc.)
• The Middle East and Africa (GCC and South Africa)
Get A Free Sample of AI In Aviation Market Report: https://cognitivemarketresearch.com/electronics-%26-electrical/ai-in-aviation-market-report#download_report
NOTE: Whole world is experiencing the impact of Covid-19 pandemic due to its increasing spread hence, the report comprises of an up to date scenario of the AI In Aviation market report. Research analyst team of our company is understanding & reviewing the Covid19 Impact on Market and all the necessary areas of the market that have been altered due to the change caused by Covid19 impact. Get in touch with us for more precise/in-depth information of the AI In Aviation market.
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—>
Download Sample Report of AI In Aviation Market Report 2020 (Coronavirus Impact Analysis on AI In Aviation Market)
At the end of May, many states began lifting lockdown restrictions and reopening in order to revive their economies, despite warnings that it was still too early. As a result, by mid-July, around 33 states were reporting higher rates of new cases compared to the previous week with only three states reporting declining rates. Due to this Covid-19 pandemic, there has been disruptions in the supply chain which have made end-use businesses realize destructive in the manufacturing and business process. During this lockdown period, the plastic packaging helps the products to have longer shelf life as the public would not be able to buy new replacements for the expired products because most of the production units are closed.
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| Coronavirus Disease (COVID-19) Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing | Coronavirus Disease COVID19 Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing Owned Skip content OwnedMarket Reports Analytics Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study for: Close search Close Menu Market Reports Analysis Forecast COVID19 Industry Impact Market Price Analysis Market Size Market Study Categories Market Price Analysis Coronavirus Disease COVID19 Impact Global AI In Aviation Market Report Top Companies like Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing Post author By ashutoshdubecmr Post date October 2, 2020 Global Coronavirus pandemic impacted industries globe, AI In Aviation market exception. As Global economy heads major recession post 2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global AI In Aviation market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report. To Research Advisor Mail @ [emailprotected] 13123768303. The research report global AI In Aviation market industry detailed study provides detailed information major key players, product types applicationsendusers; historical figures, region analysis, market driversopportunities restraints forecast scenarios, strategic planning, precise section effect Covid19 market. Our research analysts intensively determine significant outlook global AI In Aviation market study regard primary secondary data represented form graphs, pie charts, tables pictorial representations better understanding. Hardware, Software, Services key types market. All type segments analyzed based present future trends market estimated 2020 2027. Based application segment, global market classified Surveillance, Virtual Assistance, Flight Operations, Smart Logistics, Others . The analysis application segment help analyze demand market different enduse industries. Request Free Sample Copy AI In Aviation Market Research [emailprotected] Amid COVID19 pandemic, industry witnessing major change operations.Some key players include Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala ., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code, Searidge Technologies . key players changing recruitment practices comply social distancing norms enforced regions mitigate risk infection. Additionally, companies emphasizing advanced recruiting solutions digital assets avoid inperson meetings. Advanced technologies manufacturing process expected play decisive role influencing competitiveness market players. Regional Analysis AI In Aviation Market: North America United States, Canada Europe Germany, Spain, France, UK, Russia, Italy AsiaPacific China, Japan, India, Australia, South Korea Latin America Brazil, Mexico, etc. The Middle East Africa GCC South Africa Get A Free Sample AI In Aviation Market Report: NOTE: Whole world experiencing impact Covid19 pandemic increasing spread hence, report comprises date scenario AI In Aviation market report. Research analyst team company understanding reviewing Covid19 Impact Market necessary areas market altered change caused Covid19 impact. Get touch preciseindepth information AI In Aviation market. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report AI In Aviation Market Report 2020 Coronavirus Impact Analysis AI In Aviation Market At end May, states began lifting lockdown restrictions reopening order revive economies, despite warnings early. As result, midJuly, 33 states reporting higher rates new cases compared previous week states reporting declining rates. Due Covid19 pandemic, disruptions supply chain enduse businesses realize destructive manufacturing business process. During lockdown period, plastic packaging helps products longer shelf life public able buy new replacements expired products production units closed. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. 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February 27, 2020 - by [email protected] - Leave a Comment
Global Artificial Intelligence Market: Snapshot
In spite of the fact that AI is a branch of software engineering, today there’s no field which is left unaffected by this innovation. The point is to train the machines to think insightfully simply the way people do. Till now, the machines have been doing what they were advised to do yet with AI they will have the capacity to think and act like a human.
Today tech mammoths like Google, Microsoft, and IBM are very associated with concentrate building up the innovation which has just begun bringing a progressive change. In spite of the fact that it will shape our future, yet we have to know how it’s influencing our present life. AI has right now changed business administration through joining of different instruments, for example, work process administration devices, and others.
Get Free Sample of Research Report @ https://www.tmrresearch.com/sample/sample?flag=B&rep_id=2858
These factors expected to weigh in heavily in the coming years, since machine-learning calculations would soon be utilized for counteracting installment fakes and cyber terrorism. Besides, AI is evaluated to strongly affect innovations in health care and prompt more exact medications and aversion of therapeutic conditions. Artificial Intelligence has seen gigantic development in the ongoing past because of the need for headway in the arena of machine learning, protest perception and recognition. The fast take-up of artificial intelligence in end-use ventures, for example, retail and business analytics is predicted to heavily impact the growth of the global artificial intelligence market in the coming years.
Global Artificial Intelligence Market: Overview
Globally, the trend of using artificial intelligence across various industries, particularly healthcare and consumer electronics is increasing because of the numerous benefits AI offer. This trend is likely to continue to grow in the upcoming years. The global market for artificial intelligence is predicted to see a tremendous growth in the years to come as the organizations are now leveraging on the advantages of phenomenal technologies like these for the efficient positioning of their services and to expand their consumer reach. Additionally, the increasing investments by enterprises to improve the quality of the services and products will push the demand for AI.
As per TMR Research, the global market for artificial intelligence to register a tremendous 36.1% CAGR between 2016 and 2024, that comes up to US$3061.35 bn by the end of 2024 from US$126.14 bn in 2015.
Global Artificial Intelligence Market: Drivers and Restraints
A large number of companies today are concentrating on many different groundbreaking technologies so as to be able to reach out to the customers easily. This happens to be one of the main reasons boosting the global market for artificial intelligence. Such technologies consist of effective marketing practices like social, mobile, analytics and cloud technologies (SMAC) that help the companies to have strong control in the digital business. The need for this market is also arising due to the extended usage of artificial intelligence in various sectors such as E-Commerce, BFSI, retail, health informatics, to name a few. The rise in IT expenditure by companies throughout the globe in the hope of developing enhanced and efficient products will also drive the global artificial intelligence market.
The global market for artificial intelligence is currently facing challenges due to lack of investments. Many of the companies that offer artificial intelligence services have issues in accumulating funds in the initial levels for development and research. This dearth of investment is adversely impacting the task of creating new prototypes along with other technologies. Also, there is a lack of trained professionals in the market to solve advanced technical problems. This lack of professionals also happens to be an important reason in the growth of the global market for artificial intelligence as a whole.
Global Artificial Intelligence Market: Regional Outlook
In the year 2015, North America contributed the most in terms of revenues and it accounted for around 38% of the entire market. The presence of a large number of technology companies is behind the growth of the market for artificial intelligence in North America. Plus, the large investments by the government have proven to be of great help in the technological growth of artificial intelligence in the region. The increased scope of usage of this technology in so many sectors, including retail, BFSI, consumer electronics, media and advertising, and automotive, equally help this market in the North America. Because of these reasons, this region is slated to keep its leadership with it throughout 2024. The Middle East and Africa is expected to register a noticeable CAGR of 38.2% throughout the assessment period, that is the highest in any area. Technological advancements, like the robotic automation, and the rise in the adoption of smart cities, gives impetus to the acceptance of artificial intelligence in the region. The current infrastructure plans like the creation of new airports is making the market in the Middle East and Africa to be full of opportunities.
Check Exclusive Discount on this report @ https://www.tmrresearch.com/sample/sample?flag=D&rep_id=2858
Global Artificial Intelligence Market: Competitive Landscape
Many of the players are finding it difficult to gather funds for their research which is in early stage. Market players need funds for developing prototypes of their underlying technology and the lack of it is restricting their research. Some of the prominent players within the market include: Nuance Communications, Next IT Corporation, MicroStrategy Inc., eGain Corporation, QlikTech International AB, Microsoft Corporation, Google Inc., Brighterion Inc., IBM Corporation, and IntelliResponse Systems Inc.
About TMR Research
TMR Research is a premier provider of customized market research and consulting services to busi-ness entities keen on succeeding in today’s supercharged economic climate. Armed with an experi-enced, dedicated, and dynamic team of analysts, we are redefining the way our clients’ conduct business by providing them with authoritative and trusted research studies in tune with the latest methodologies and market trends.
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| Artificial Intelligence Market Analysis On Trends & Need 2025 | Artificial Intelligence Market Analysis On Trends Need 2025 News Parent Skip content Top Menu February 27, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Market ReportsArtificial Intelligence Market Analysis On Trends Need 2025 February 27, 2020 [emailprotected] Leave Comment Global Artificial Intelligence Market: Snapshot In spite fact AI branch software engineering, today theres field left unaffected innovation. The point train machines think insightfully simply way people do. Till now, machines advised AI capacity think act like human. Today tech mammoths like Google, Microsoft, IBM associated concentrate building innovation begun bringing progressive change. In spite fact shape future, know influencing present life. AI right changed business administration joining different instruments, example, work process administration devices, others. Get Free Sample Research Report @ These factors expected weigh heavily coming years, machinelearning calculations soon utilized counteracting installment fakes cyber terrorism. Besides, AI evaluated strongly affect innovations health care prompt exact medications aversion therapeutic conditions. Artificial Intelligence seen gigantic development ongoing past need headway arena machine learning, protest perception recognition. The fast takeup artificial intelligence enduse ventures, example, retail business analytics predicted heavily impact growth global artificial intelligence market coming years. Global Artificial Intelligence Market: Overview Globally, trend artificial intelligence industries, particularly healthcare consumer electronics increasing numerous benefits AI offer. This trend likely continue grow upcoming years. The global market artificial intelligence predicted tremendous growth years come organizations leveraging advantages phenomenal technologies like efficient positioning services expand consumer reach. Additionally, increasing investments enterprises improve quality services products push demand AI. As TMR Research, global market artificial intelligence register tremendous 36.1 CAGR 2016 2024, comes US3061.35 bn end 2024 US126.14 bn 2015. Global Artificial Intelligence Market: Drivers Restraints A large number companies today concentrating different groundbreaking technologies able reach customers easily. This happens main reasons boosting global market artificial intelligence. Such technologies consist effective marketing practices like social, mobile, analytics cloud technologies SMAC help companies strong control digital business. The need market arising extended usage artificial intelligence sectors ECommerce, BFSI, retail, health informatics, few. The rise IT expenditure companies globe hope developing enhanced efficient products drive global artificial intelligence market. The global market artificial intelligence currently facing challenges lack investments. Many companies offer artificial intelligence services issues accumulating funds initial levels development research. This dearth investment adversely impacting task creating new prototypes technologies. Also, lack trained professionals market solve advanced technical problems. This lack professionals happens important reason growth global market artificial intelligence whole. Global Artificial Intelligence Market: Regional Outlook In year 2015, North America contributed terms revenues accounted 38 entire market. The presence large number technology companies growth market artificial intelligence North America. Plus, large investments government proven great help technological growth artificial intelligence region. The increased scope usage technology sectors, including retail, BFSI, consumer electronics, media advertising, automotive, equally help market North America. Because reasons, region slated leadership 2024. The Middle East Africa expected register noticeable CAGR 38.2 assessment period, highest area. Technological advancements, like robotic automation, rise adoption smart cities, gives impetus acceptance artificial intelligence region. The current infrastructure plans like creation new airports making market Middle East Africa opportunities. Check Exclusive Discount report @ Global Artificial Intelligence Market: Competitive Landscape Many players finding difficult gather funds research early stage. Market players need funds developing prototypes underlying technology lack restricting research. Some prominent players market include: Nuance Communications, Next IT Corporation, MicroStrategy ., eGain Corporation, QlikTech International AB, Microsoft Corporation, Google ., Brighterion ., IBM Corporation, IntelliResponse Systems . About TMR Research TMR Research premier provider customized market research consulting services business entities keen succeeding todays supercharged economic climate. Armed experienced, dedicated, dynamic team analysts, redefining way clients conduct business providing authoritative trusted research studies tune latest methodologies market trends. TaggedArtificial Intelligence Market Related Posts Electrical Stimulators Market Progresses Huge Profits 2026 Top Key Players Boston Scientific, Abbott, Medtronic, Cyberonics, DJO Global February 27, 2020 Cellular IoT Market Real Time Analysis Forecast 2017 2025 February 27, 2020 RolltoRoll Printing Market Competitive Analysis Forecast 20172025 February 27, 2020 Post navigation Previous Article Omega3 Market Big Growth 2020: Aker BioMarine, Axellus, BASF, BioProcess AlgaeNext Article Laparoscopic Instrument System Market Set Record Exponential Growth 2026 Top Key Players B.Braun, Medtronic, Erbe, Unimax Medical, Lagis Endosurgical About [emailprotected] View posts [emailprotected] Leave Reply Cancel replyYour email address published. 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We provide comprehensive coverage mostimportantnews counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. 2020 News Parent. Powered WordPress HitMag. | 2,020 | [
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https://upnewsinfo.com/2020/04/02/leslys-team-takes-advantage-of-artificial-intelligence-for-infotainment-in-the-car-latest-news/ | 2020-04-02T00:00:00 | en | Lesly's team takes advantage of artificial intelligence for infotainment in the car – Latest news | Up News Info | Lesly's team takes advantage of artificial intelligence for infotainment in the car – Latest news | Up News Info Sign inEntertainmentTechnologySportsHealthcareBusinessFinancial Sign in Welcome!Log into your accountyour usernameyour password Forgot your password?Privacy Policy Password recoveryRecover your passwordyour email Search EntertainmentTechnologySportsHealthcareBusinessFinancialMoreSearchEntertainmentTechnologySportsHealthcareBusinessFinancialMoreSearchHome Technology Lesly's team takes advantage of artificial intelligence for infotainment in the car...TechnologyLesly's team takes advantage of artificial intelligence for infotainment in the car – Latest newsBy Isaac Novak - April 2, 202001ShareFacebook Twitter Pinterest WhatsApp
Lesly Peter, 40, considers herself a self-made leader, one who has worked hard to get where she is today. But if there is one thing she is thankful for, it is the constant support she received from her family. "My parents and my husband always encouraged me to pursue everything I wanted to. I think that kind of support system is essential for every woman to realize her dreams," she says.
As a delivery manager in the Thiruvananthapuram office of engineering services firm QuEST Global, he manages software delivery in the automotive industry, managing multiple customer accounts in the United States, Europe, and Japan. During the two decades at the firm, Lesly has not only been a key contributor to developing automotive entertainment and information delivery capabilities with the help of her team of technical architects, but has also helped build a strong partnership with many of the firm's clients and has helped them lead their projects
Automotive infotainment, or in-vehicle infotainment, is an integrated car system that delivers entertainment and information content using audio / video interfaces, touchscreens, and other devices. In the age of technology, it has become a way to give cars a edge and give customers a safer, more luxurious experience. "We are currently working on automotive products and prototypes that take advantage of the latest digital trends such as artificial intelligence, big data analytics and virtualization to deliver an efficient and comfortable user experience for passengers," he says.
%MINIFYHTML3a5f40705919cfe725768a74fd56cf1511%%MINIFYHTML3a5f40705919cfe725768a74fd56cf1512%
Lesly developed an interest in computers at an early age. "I had already mapped out my professional career in school," he says. She pursued a degree in computer science from the Polytechnic Government, Thrissur, in 1999, and joined QuEST Global as an engineering apprentice shortly thereafter. "In about six years, she moved into the role of project leader and began managing the end-to-end software delivery and customer communications, ”she says.
Women must realize their potential and have the confidence to take on challenges and new roles. Try to make families understand and approve of your choices, as your support is paramount
Lesly Peter, Delivery Manager, Quest Global
The transition to the manager role came naturally to Lesly. "As challenging as it was, it was an interesting role that required me to move completely to the administration side. But at the same time, I had to stay on top of all the technological developments in the industry," she says.
That is also his advice for aspiring technicians. "In these times, it is important to continue learning and exploring new trends. There is definitely no shortage of resources available to the current generation," she says.
As one of the few female technology leaders in the industry, Lesly says women must realize their potential and have the confidence to take on challenges and new roles. Many times, the family still has the advantage in women's professional decisions. "Try to make them understand and approve of their choices, as their support is paramount," she says.
%MINIFYHTML3a5f40705919cfe725768a74fd56cf1513%ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyOf course, this spring break returned to Texas with coronavirus – BGR TechnologyChinese smartphone health code governs post-virus life TechnologyJapanese flip phone games arrive on the Nintendo SwitchLEAVE A REPLY Cancel replyPlease enter your comment! Please enter your name here You have entered an incorrect email address!Please enter your email address here Save my name, email, and website in this browser for the next time I comment. HomeAbout UsContact usDisclaimerPrivacy Policy ©
| Lesly's team takes advantage of artificial intelligence for infotainment in the car | Leslys team takes advantage artificial intelligence infotainment car Latest news Up News Info Sign inEntertainmentTechnologySportsHealthcareBusinessFinancial Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email EntertainmentTechnologySportsHealthcareBusinessFinancialMoreEntertainmentTechnologySportsHealthcareBusinessFinancialMoreHome Technology Leslys team takes advantage artificial intelligence infotainment car...TechnologyLeslys team takes advantage artificial intelligence infotainment car Latest newsBy Isaac Novak April 2, 202001ShareFacebook Twitter Pinterest WhatsApp Lesly Peter, 40, considers selfmade leader, worked hard today. But thing thankful for, constant support received family. My parents husband encouraged pursue I wanted to. I think kind support essential woman realize dreams, says. As delivery manager Thiruvananthapuram office engineering services firm QuEST Global, manages software delivery automotive industry, managing multiple customer accounts United States, Europe, Japan. During decades firm, Lesly key contributor developing automotive entertainment information delivery capabilities help team technical architects, helped build strong partnership firms clients helped lead projects Automotive infotainment, invehicle infotainment, integrated car delivers entertainment information content audio video interfaces, touchscreens, devices. In age technology, way cars edge customers safer, luxurious experience. We currently working automotive products prototypes advantage latest digital trends artificial intelligence, big data analytics virtualization deliver efficient comfortable user experience passengers, says. MINIFYHTML3a5f40705919cfe725768a74fd56cf1511MINIFYHTML3a5f40705919cfe725768a74fd56cf1512 Lesly developed computers early age. I mapped professional career school, says. She pursued degree science Polytechnic Government, Thrissur, 1999, joined QuEST Global engineering apprentice shortly thereafter. In years, moved role project leader began managing endtoend software delivery customer communications, says. Women realize potential confidence challenges new roles. Try families understand approve choices, support paramount Lesly Peter, Delivery Manager, Quest Global The transition manager role came naturally Lesly. As challenging was, interesting role required completely administration side. But time, I stay technological developments industry, says. That advice aspiring technicians. In times, important continue learning exploring new trends. There definitely shortage resources available current generation, says. As female technology leaders industry, Lesly says women realize potential confidence challenges new roles. Many times, family advantage womens professional decisions. Try understand approve choices, support paramount, says. MINIFYHTML3a5f40705919cfe725768a74fd56cf1513ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyOf course, spring break returned Texas coronavirus BGR TechnologyChinese smartphone health code governs postvirus life TechnologyJapanese flip phone games arrive Nintendo SwitchLEAVE A REPLY Cancel replyPlease enter comment Please enter You entered incorrect email addressPlease enter email address Save name, email, website browser time I comment. Home usDisclaimer | 2,020 | [
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https://www.livemint.com/technology/tech-news/planning-investing-in-data-ai-crucial-for-india-say-top-it-execs-11597757576594.html | 2020-08-18T00:00:00 | en | Planning, investing in data, AI crucial for India, say top IT execs |
Planning, investing in data, AI crucial for India, say top IT execs
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Home >Technology >News >Planning, investing in data, AI crucial for India, say top IT execs
Many leading global organizations have already established AI centres of excellence (CoEs) in India to access talent and its startup ecosystem (REUTERS)
Planning, investing in data, AI crucial for India, say top IT execs
2 min read
. Updated: 18 Aug 2020, 07:08 PM IST
Ayushman Baruah
Investing in data and AI can create millions of jobs in India, said UB Pravin Rao, Nasscom chairman and chief operating officer, Infosys
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Bengaluru: India has the potential to become a global powerhouse in data and artificial intelligence (AI), top executives from Infosys Ltd and Wipro said at a panel discussion organised by Nasscom on Tuesday.
According to Nasscom, driving utilization of data and AI could play a crucial role in realizing India’s 2025 vision of inclusive development and deliver over $500 billion in value for the economy. This would be even more impactful as India’s economy restarts after the covid-19 lockdown.
“We have to identify a comprehensive plan for India’s data and AI action story…and identify data sets of national importance based on selected initiatives and prioritize datasets that require government attention," said Wipro chairman Rishad Premji.
India has the right ecosystem of talent, academia, and startups to drive the AI revolution but we must also focus on “moving beyond pilots to scalability", Premji said.
Investing in data and AI can create millions of jobs in India, said UB Pravin Rao, Nasscom chairman and chief operating officer, Infosys. “We need to build the capabilities in this space," he said.
The job creation is in the context that out of the 4.3 million IT workforce in the country, already about half a million people are working in areas of data analytics and AI. “This number can further go up," Rao said.
Many leading global organizations have already established AI centres of excellence (CoEs) in India to access talent and its startup ecosystem.
As India scales up on its data and AI journey, it will have to focus on “responsible AI" and create a self-governing process that takes into account issues like ethics, and zero bias, Rao said.
This comes in the backdrop of a draft document on “Responsible AI for All" released by government policy think tank NITI Aayog for stakeholder discussion in July. The draft proposes setting up multi-disciplinary ethical committees for enforcement of principles of responsible AI across multiple sectors working with AI.
Data and AI can play a pivotal role in addressing the country’s digital divide. “Building access, inclusion, and skill will be the key enablers," said Anant Maheshwari, president, Microsoft India.
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| Planning, investing in data, AI crucial for India, say top IT execs | Planning, investing data, AI crucial India, IT execs Explore Sign inepaperNew Tuesday, 18 August 2020 epaperNewPodcastsNewNotificationsNewslettersTop SectionsNewsCompaniesNewsStartupsCompany ResultsPeopleCompany ResultsStartupsMint 50 Top Mutual FundsTechnologyGadgetsTech ReviewsApp NewsFoldable Smartphones5G TechMarketsStock MarketsCommoditiesMark To MarketIPOLive BlogMoneyPersonal FinanceQAMutual FundsMint 50 Top Mutual FundsNewsLoungeFeaturesBusiness LifeInsuranceOpinionViewsColumnsBlogsIndustryBankingInfotechInfrastructureAgricultureManufacturingEnergyRetailPoliticsVideosIndia Investment SummitAnnual Banking ConclaveMint ExplainersMarket AnalysisWhy Not Mint MoneyBusiness EntertainmentLong Story CapsuleMint Views StartUp DiariesMoney With MonikaMint InsightDigital GurusBrand MastersBrand PostMarket DashboardExplore Mint UsSITEMAPRSSTerms User Terms Use PolicyPrint SubscriptionDisclaimerMint CodeMint AppsLM Brand StoriesMint Events HT Media Limited . HomeLatest TrendingMy Reads WFHLifePivot Or PerishCoronavirus Vaccine TrackerMarket DashboardRethinking IndiaLoungeMint CXO DialoguesThe Future OfLong ReadsIndia2Global Emerging Tech ConclaveMoney With Monika, Season 4Plain FactsMark To MarketPodcastsCompaniesMarketsMoneyStartupsMutual FundsInsuranceTechnologyIndustryOpinionPolitics Home >Technology >News >Planning, investing data, AI crucial India, IT execs Many leading global organizations established AI centres excellence CoEs India access talent startup ecosystem REUTERS Planning, investing data, AI crucial India, IT execs 2 min read . Updated: 18 Aug 2020, 07:08 PM IST Ayushman Baruah Investing data AI create millions jobs India, said UB Pravin Rao, Nasscom chairman chief operating officer, Infosys Share Via Read Full Story Topics Artificial Intelligence Bengaluru: India potential global powerhouse data artificial intelligence AI, executives Infosys Ltd Wipro said panel discussion organised Nasscom Tuesday. According Nasscom, driving utilization data AI play crucial role realizing Indias 2025 vision inclusive development deliver 500 billion value economy. This impactful Indias economy restarts covid19 lockdown. We identify comprehensive plan Indias data AI action storyand identify data sets national importance based selected initiatives prioritize datasets require government attention, said Wipro chairman Rishad Premji. India right ecosystem talent, academia, startups drive AI revolution focus moving pilots scalability, Premji said. Investing data AI create millions jobs India, said UB Pravin Rao, Nasscom chairman chief operating officer, Infosys. We need build capabilities space, said. The job creation context 4.3 million IT workforce country, half million people working areas data analytics AI. This number up, Rao said. Many leading global organizations established AI centres excellence CoEs India access talent startup ecosystem. As India scales data AI journey, focus responsible AI create selfgoverning process takes account issues like ethics, zero bias, Rao said. This comes backdrop draft document Responsible AI All released government policy think tank NITI Aayog stakeholder discussion July. The draft proposes setting multidisciplinary ethical committees enforcement principles responsible AI multiple sectors working AI. Data AI play pivotal role addressing countrys digital divide. Building access, inclusion, skill key enablers, said Anant Maheshwari, president, Microsoft India. newsletters Enter valid email Thank subscribing newsletter. Share Via Click read Mint Telegram. Join Livemint channel Telegram stay updatedTopics Artificial Intelligence RELATED STORIES IIT Patna ties Flipkart joint research artificial intelligence1 min read . 12:20 PM IST Close No NetworkServer IssueInternet Not AvailableWait itLog website save bookmarks. Itll moment.Yes, Continue Your session expired, login again.Yes, Continue CongratulationsYou subscribed newsletters. In case email side, check spam folder. Change password My Reads Redeem Gift Card Logout | 2,020 | [
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https://theecologist.org/2020/jul/27/climate-change-and-machine-learning | 2020-07-28T00:00:00 | en | Climate change and machine learning |
Climate change and machine learning
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Climate change and machine learning
Emily Folk
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27th July 2020
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Markus Spiske
Machine learning can make a huge impact on the planet ranging from energy efficiency to reducing the impact of emissions.
Machine learning is increasingly popular for companies to use machine learning for predictive maintenance.
Machine learning could play a crucial part in the ongoing fight against climate breakdown.
Effectively dealing with emissions is a climate change mitigation technique with tremendous potential. When we really can't get rid of emissions, minimizing their impact on the planet is often the next-best option.
Researchers have relied on machine learning to identify the best ways to convert carbon dioxide into methane, for example. They let the technology examine specifics like the size and chemical structure of the catalytic particles that make that process happen.
Prevention
Methane is a non-fossil-fuel energy source and is easy to store and transport. Machine learning fits into the picture because scientists have used it to analyze the X-ray signatures of catalysts that get collected during chemical reactions.
Early findings showed that certain catalysts can lower the temperature of the reaction between carbon dioxide and methane or make it more efficient.
People in many parts of the world have the luxury of thinking of climate change as something that might affect them "someday." Many farmers in Africa are not so fortunate. Statistics show that more than 95 percent of them are solely dependent on rainfall for irrigation. When climate change causes droughts, they'll face disastrous crop losses.
It's increasingly popular for companies to use machine learning for predictive maintenance. For example, the technology could warn about a failing pump before it breaks down and halts production. What if farmers could avoid crises as well by using high-tech solutions to make proactive decisions about climate change preparedness?
Researchers want to give them that option. They tweaked a machine-learning-based smartphone app that helps diagnose crop diseases. It now also makes recommendations about which drought-tolerant crops to plant and where to put them. The system incorporates dozens of data points related to Africa, with hundreds more gathered by the day.
Collaboration
Research shows that energy production and consumption collectively make up the largest source of greenhouse gas emissions worldwide. Many leaders around the world are taking action and committing to positive, time-based changes.
Mexico is one country that has recently achieved significant gains. Reaching those milestones required international collaboration, however.
Widespread energy creation or usage alterations to help the planet do take time and effort to plan. Moving in the right direction can also begin with individuals. Numerous technology companies offer machine learning products that reduce building-level energy usage.
One company has solutions that take data samples 8,000 times per second and claim to cut energy consumption by as much as 50 percent.
Since these options often have user interfaces that show energy efficiency trends and other relevant statistics, people can see the hard data confirming a product's effectiveness. Customers can also learn new insights, such as which hours in the day consistently demand the most energy usage or whether certain rooms make exceptionally high contributions to the overall amount of energy used.
Innovation
Scientists know that plants can cut carbon dioxide emissions by naturally absorbing them. What hasn't been so clear to them is the total effect of this over time, and how soaking up those emissions could affect the plant life later, such as by promoting growth.
A multinational research team used machine learning — along with statistical methods and satellite data — to get a better idea of the possibilities. They quantified the effects of elements like soil nutrients and climate characteristics on a plant's ability to take in carbon dioxide. The results showed that tropical forests — such as those in the Amazon and Congo — had the greatest potential for both regrowth and carbon dioxide uptake.
Another finding from the analysis showed that trees could remove six years' worth of emissions by 2100. But that outcome would only be achieved if we completely stopped deforestation activities. The use of machine learning could help climate activists encourage decision-makers to see trees as essential to slowing global warming.
There's no doubt that climate change is a major, pressing issue. These examples show that machine learning can help conquer it. Innovative technology does not replace human expertise and decisions, nor does it negative meaningful systems change, but it can complement it in some truly consequential ways.
This Author
Emily Folk is a conservation and sustainability writer and the editor of Conservation Folks.
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| Climate change and machine learning | Climate change machine learning Skip main content Menu Breadcrumb Home News Climate change machine learning Emily Folk 27th July 2020 Pexels Markus Spiske Machine learning huge impact planet ranging energy efficiency reducing impact emissions. Machine learning increasingly popular companies use machine learning predictive maintenance. Machinelearning play crucial ongoing fight climate breakdown. Effectively dealing emissions climate change mitigation technique tremendous potential. When rid emissions, minimizing impact planet nextbest option. Researchers relied machine learning identify best ways convert carbon dioxide methane, example. They let technology examine specifics like size chemical structure catalytic particles process happen. Prevention Methane isa nonfossilfuel energy source andis easy store transport. Machine learning fits picture scientists analyze Xray signatures catalysts collected chemical reactions. Early findings showed certain catalysts lower temperature reaction carbon dioxide methane efficient. People parts world luxury thinking climate change affect someday. Many farmers Africa fortunate. Statistics 95 percentof themare solely dependent rainfall irrigation. When climate change causes droughts, theyll face disastrous crop losses. Its increasingly popular companies use machine learning predictive maintenance. For example, technology warn failing pump breaks halts production. What farmers avoid crises hightech solutions proactive decisions climate change preparedness? Researchers want option. They tweaked machinelearningbased smartphone app helps diagnose crop diseases. It makes recommendations droughttolerant crops plant them. The incorporates dozens data points related Africa, hundreds gathered day. Collaboration Research shows energy production consumption collectively largest source greenhouse gas emissions worldwide. Many leaders world taking action committing positive, timebased changes. Mexico country recently achieved significant gains. Reaching milestones required international collaboration, however. Widespread energy creation usage alterations help planet time effort plan. Moving right direction begin individuals. Numerous technology companies offer machine learning products reduce buildinglevel energy usage. One company solutions data samples 8,000 times second claim cut energy consumption 50 percent. Since options user interfaces energy efficiency trends relevant statistics, people hard data confirming products effectiveness. Customers learn new insights, hours day consistently demand energy usage certain rooms exceptionally high contributions overall energy used. Innovation Scientists know plants cut carbon dioxide emissions naturally absorbing them. What clear total effect time, soaking emissions affect plant life later, promoting growth. A multinational research team machine learning statistical methods satellite data better idea possibilities. They quantified effects elements like soil nutrients climate characteristics plants ability carbon dioxide. The results showed tropical forests Amazon Congo greatest potential regrowth carbon dioxide uptake. Another finding analysis showed trees remove years worth emissions 2100. But outcome beachievedif completely stopped deforestation activities. Theuse machine learning help climate activists encourage decisionmakers trees essential slowing global warming. Theres doubt climate change major, pressing issue. These examples machine learning help conquer it. Innovative technology replace human expertise decisions, negative meaningful systems change, complement truly consequential ways. This Author Emily Folk conservation sustainability writer editor Conservation Folks. Help The Ecologist working planet The Ecologist website free service, published The Resurgence Trust, UKbased educational charity. We work hard small budget tiny editorial team bring wideranging, independent journalism know value enjoy, need help. Please donation support The Ecologist platform. Thank Donate Share article About author Emily Folk Channel News Tags climate change technology emissions farmers Latest Edition The latest edition Resurgence Ecologist now, available buy Resurgence Trust website. ABOUT US The Ecologist worlds leading environmental affairs platform. Our aim educate inform people possible wonders nature, crisis face best solutions methods managing crisis. Find mission, team, here. The website owned published The Resurgence Trust, educational charity. To receive magazine, member now.The views expressed articles published site necessarily reflect trust, trustees staff. Regular Contributors Emily Beament Brendan Montague Marianne Brooker Catherine Early Nilima Marshall Jonathan Neale Emily Folk Natalie Bennett Nina Massey Nick Breeze Herbert Girardet Gareth Dale Claire Hayhurst Hannibal Rhoades Gabriel Levy DeSmog UK NEWSLETTERS Sign DAILY,WEEKLYand MONTHLY newsletters miss amazing news comment articles publish, day day out. ARCHIVE Get access nearly 50 years journalism Ecologist Archive. Footer menu Show Footer menu Hide Footer menu Home Us Style Archive Powered Thunder Home New Editors Picks International Change makers Thought leaders Science systems Extinction Rebellion Resurgence Ecologist ENDOXA Ecologist recycled | 2,020 | [
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https://finance.yahoo.com/news/google-ai-alphabet-loon-balloons-navication-artificial-intelligence-175408123.html | 2020-12-02T00:00:00 | en | Google AI is now piloting Loon's internet-beaming balloons | Google AI is now piloting Loon's internet-beaming balloons HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Finance Premium | Try it free Yahoo FinanceSign in Mail Sign in to view your mail Finance Finance 2020 Election 2020 Election Watchlists Watchlists My Portfolio My Portfolio Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Future ScreenerFuture Screener Index ScreenerIndex Screener Premium Premium DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas BlogBlog Markets Markets CryptocurrenciesCryptocurrencies CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News 2020 Election2020 Election Stock Market NewsStock Market News Morning BriefMorning Brief TrumponomicsTrumponomics Aarthi SwaminathanAarthi Swaminathan Adam ShapiroAdam Shapiro Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexis ChristoforousAlexis Christoforous Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brian CheungBrian Cheung Brian SozziBrian Sozzi Daniel HowleyDaniel Howley Daniel RobertsDaniel Roberts Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan Wolff-MannEthan Wolff-Mann Javier E. DavidJavier E. David Jen RogersJen Rogers Jessica SmithJessica Smith Julia La RocheJulia La Roche Julie HymanJulie Hyman Kristin MyersKristin Myers Lisa ScherzerLisa Scherzer Lulu ChiangLulu Chiang Max ZahnMax Zahn Melody HahmMelody Hahm Michael KelleyMichael Kelley Myles UdlandMyles Udland Nishant MohanNishant Mohan Pras SubramanianPras Subramanian Reggie WadeReggie Wade Rick NewmanRick Newman Sam RoSam Ro Seana SmithSeana Smith Sheila BairSheila Bair Sibile MarcellusSibile Marcellus Zack GuzmanZack Guzman Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes Articles & TutorialsArticles & Tutorials RatesRates Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers with Andy SerwerInfluencers with Andy Serwer Yahoo Finance PresentsYahoo Finance Presents A Time for ChangeA Time for Change Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Women and MoneyWomen and Money Industries Industries Basic MaterialsBasic Materials Communication ServicesCommunication Services Consumer CyclicalConsumer Cyclical Consumer DefensiveConsumer Defensive EnergyEnergy Financial ServicesFinancial Services HealthcareHealthcare IndustrialsIndustrials Real EstateReal Estate TechnologyTechnology UtilitiesUtilities Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo MoreMore
U.S. markets close in 1 hour 40 minutesS&P 5003,664.25+1.80 (+0.05%) Dow 3029,817.25-6.67 (-0.02%) Nasdaq12,334.05-21.06 (-0.17%) Russell 20001,830.84-5.21 (-0.28%) Crude Oil45.32+0.77 (+1.73%) Gold1,832.10+13.20 (+0.73%) Silver24.10+0.01 (+0.06%) EUR/USD1.2102+0.0023 (+0.19%) 10-Yr Bond0.9460+0.0120 (+1.28%) GBP/USD1.3367-0.0056 (-0.42%) USD/JPY104.5050+0.1890 (+0.18%) BTC-USD19,037.25+43.35 (+0.23%) CMC Crypto 200373.61+8.69 (+2.38%) FTSE 1006,463.39+78.66 (+1.23%) Nikkei 22526,800.98+13.44 (+0.05%) EngadgetGoogle AI is now piloting Loon's internet-beaming balloonsRead full articleKris Holt·Contributing WriterDecember 2, 2020, 12:54 PM·2 min readAlphabet’s Loon has shifted to a different type of navigation system for its internet-beaming balloons. Rather than relying on algorithms designed by humans, the balloons are using an artificial intelligence system Loon developed with Google AI over the last few years.A reinforcement learning (RL) system is now in charge of navigation for a fleet of balloons over Kenya, where Loon switched on its first commercial service earlier this year. Loon says this is the first use of an RL model in "a production aerospace system." It also noted the "development is exciting because it shows that reinforcement learning can be applied to real-world use cases." RL systems have previously figured out how to beat top Go and Dota 2 players.Loon's AI can figure out the optimal route for balloons significantly faster than the previous navigation system. It does so with more efficiency as well. Balloons can travel similar or greater distances than before with less power. Loon's record flight duration is 312 days — it set that benchmark earlier this year. Perhaps the AI system will be able to keep balloons aloft for even longer.A Loon balloonLoon and Google AI used simulations to train the RL model through trial and error before real-world testing began in Peru. The team then assessed its capabilities directly against a human-crafted system called StationSeeker with a 39-day test over the Pacific Ocean. The AI was able to keep balloons in target areas for longer periods while using less energy. That’s important, as it will help to provide more consistent internet coverage to people in a given area.StationSeeker tended to head straight for a specific target location, but it often flew by and had to reverse course. The AI system was more concerned with staying in the target area as passively as possible to conserve energy for when it’s most needed. It also used complex maneuvers the Loon team hadn’t seen before.TRENDING 1. U.N. chief says U.S. leadership key to fight climate emergency 2. Treasury Yield Spike Risks Sparking Domino Effect in Markets 3. Biden will have to make early decision on North Korea-adviser 4. Palantir stock sees worst day since going public 5. Investors 'should start to broaden their portfolios': Strategist
Latest StoriesTipRanksBillionaire Jim Simons Places Bet on 3 High-Yield Dividend StocksA rising tide lifts all boats, as President John Kennedy said, and we’re seeing it now on Wall Street, as both the S&P 500 and the NASDAQ are near record high levels. The gains are broad-based and real, and reflect a growing optimism now that the election is behind us and a COVID-19 vaccine is in sight.So let’s look back, all the way to 1973, when economist Burton Malkiel told us that “a blindfolded monkey throwing darts at a newspaper’s financial pages could select a portfolio that would do just as well as one carefully selected by the experts.” He was pointing out the effect of random forces on a large enough sample – and the stock market, with over 7,000 publicly traded equities, and even more thousands of active traders working daily, is definitely a large enough sample.But that was before mathematician and code-breaker Jim Simons taught us all how to crunch the numbers. Simons recognized that people are not monkeys – and so have access to information that transcends random effects. He invented quantitative trading, and changed the investment landscape forever.And back in the present, Simons revealed in his most recent 13F filings three new stock positions that bear a closer look. These are buy-rated stocks that boast at least a 5% dividend yield and go up from there. We used TipRanks database to find out what else makes these picks so compelling.Plains GP Holdings (PAGP)First up is Plains GP, an oil and gas midstream holding company. Plains controls assets in the oil and gas transport sector, where it moves the hydrocarbons from the well head production sites to the refineries, storage tank farms, and transport facilities. The company assets include nearly 19,000 miles of pipelines, 8,000 crude oil railroad tankers, nearly 2,500 trucks and tractor-trailers, and, on the rivers, 20 transport tugs and 50 barges. These assets move oil and gas into and out of 148 million barrels worth of storage capacity.PAGP took a hard hit earlier this year from declines in the price of both oil and gas, and from reduced demand during the pandemic-inspired economic shutdowns. By Q2, revenue was down by more than half, to $3.23 billion. The Q3 top line shows the beginning of a recovery, with revenues coming in at $5.83 billion. Q3 EPS was flat sequentially, at 9 cents.The company’s stock price, as might be expected from the financial performance, has failed to gain much traction since it fell last winter at the start of the corona crisis. Shares in PAGP are down 52% so far this year.The low share price, however, presents investors with an opportunity. Clearly, Jim Simons would agree. His fund staked a position in PAGP by buying 1,045,521 shares of the stock. The holding is worth $8.44 million at the current share price.Plains GP has kept up its commitment to the dividend. The company cut the payment from 36 cents per share to 18 cents for the April payment, but has kept it at that level since then. The cut kept the yield from exploding as share price fell, and kept the payment affordable at current income levels. The current payment annualizes to 72 cents per common share, and gives a yield of 8.3%.Raymond James analyst Justin Jenkins likes Plains for its ability to generate cash. He writes, “PAGP's cash flow profile has actually improved this year. While 2021 will see more headwinds to EBITDA than 2020, lower capex and cost-cutting measures implemented since the pandemic still drive an FCF inflection. We now model Plains generating an all-in FCF surplus [...] We continue to believe the partnership’s outlook is much better than recent investor sentiment in the stock."In line with these comments, Jenkins rates PAGP a Buy. His $9 price target suggests it has room to grow ~10% from current levels. (To watch Jenkins’ track record, click here)Overall, there are three recent reviews of PAGP on record, and all are Buys – making the analyst consensus here a unanimous Strong Buy. The stock is selling for $8.17, and its $10 average price target implies a one-year upside of 22%. (See PAGP stock analysis on TipRanks)Granite Point Mortgage Trust (GPMT)Next up, Granite Point Mortgage Trust, is a mortgage loan company serving a US customer base. The company invests in senior floating-rate commercial mortgages, as well as originating and managing such loans. The company’s portfolio is valued at more than $1.8 billion.GPMT is showing some solid messages in recent financial performance. The company beat the forecasts on earnings, reporting 27 cents per share against a 20-cent estimate, for a 35% beat. Revenues were up year-over-year, and the company finished the quarter with over $353 million in cash and cash equivalents.That foundation allowed GPMT to keep its dividend, although the company did adjust the payment to 20 cents per common share. At that rate, it annualizes to 80 cents and yields a hefty 8.3%. This compares favorably to financial sector peers – and is more than 4x higher than the average dividend found among S&P listed companies. Granite Point is another of Jim Simons’ new positions. The quant billionaire bought up 155,800 shares of this real estate investment trust (REIT), for a stake that’s now worth $1.48 million. Stephen Laws, covering this stock for Raymond James, sees GPMT as a potential winner for dividend investors. He writes, “We expect net interest income to continue to benefit from LIBOR loans in floors, and are increasing our core earnings estimates to reflect this. While GPMT reinstated the quarterly dividend of $0.20 per share, the company still has roughly $29 million of undistributed taxable income at September 30. Given this, we anticipate a special dividend of $0.40 per share to be declared prior to year-end.”The 5-star analyst rates the stock an Outperform (i.e. Buy), and his $11 price target implies 16% growth over the next months. (To watch Laws’ track record, click here)This is another stock with a unanimous analyst rating – although the two recent Buys make the consensus view a Moderate Buy. The average price target matches Laws’, at $11, and indicates a 16% upside from the current trading price of $9.60. (See GPMT stock analysis on TipRanks)Phillips 66 (PSX)Last on our list of Simons’ new purchases is Phillips 66, the oil and gas giant. With over $107 billion in annual revenues, and more than $58 billion in total assets, Phillips 66 is deeply involved in oil production, refining, and marketing. The company also has a large presence in the petrochemical industry.The low prices, economic shutdowns, and unpredictable demand have put pressure on PSX’s share price this year, and the stock has only partly rebounded from last winter’s swoon. PSX is down 40% year-to-date, but it’s up 54% from its late-March trough.In the third quarter, Phillips 66 saw an EPS loss of 1 cent – but that was far better than the 80-cent lost which had been forecast. Revenues for the quarter came in at $15.93 billion, up 45% from the previous quarter.The company pays out 90 cents per common share, and has an 8-year history of keeping a reliable payment with occasional increases. The annualized payment of $3.60 gives a yield of 5.4%, well above the utility sector average yield of 3.3%.Simons, for his part, was impressed enough by this stock to purchase 120,800 shares. That’s a holding now worth $7.47 million.In his note on PSX, Scotiabank’s Paul Cheng notes several key points, including some that may seem counterintuitive. “Passing of Election Day may actually trigger new buying in the group even with a Biden win. Contrary to the widespread belief, the sector has historically outperformed the general market in the first year of a new Democrat Administration… Cyclical sectors could be in demand again as investors re-focus their attention from the election to vaccine availability,” Cheng opined. The analyst added, "...relative to other refiners, PSX should benefit more from a rising oil price environment given their large chemical and NGL operations."To this end, Cheng rates PSX an Outperform (i.e. Buy). He sets a $79 price target, indicating an upside potential of 25% for the next 12 months. (To watch Cheng’s track record, click here)All in all, Phillips 66 get a broad-based thumbs-up from Wall Street – as clear from the 11 Buy ratings on the stock, giving it a Strong Buy analyst consensus. (See PSX stock analysis on TipRanks)To find good ideas for dividend stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights.Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.4h agoInvestor's Business DailyDow Jones Rallies As Biden Makes China Pledge, Senior Democrat Outlines Stimulus HopeThe Dow Jones rallied after President-elect Joe Biden said he will not immediately remove the tariffs imposed on China by President Donald Trump.38m agoMarketWatch20 electric vehicle stocks outside of Tesla and Nio expected by analysts to rise the most over the next yearAnalysts favor companies that supply EV manufacturers or develop technology to support infrastructure and autonomous driving.3h agoInvestor's Business DailyPalantir Stock Falls As Analyst Says Rally Not Grounded In FundamentalsShares in Palantir Technologies fell for the four straight trading session as investors took profits and Morgan Stanley downgraded the data analytics software maker following its big run-up.2h agoSmartAssetHow to Avoid Paying Taxes on Inherited PropertyInheriting a home or other property can increase the value of your estate but it can also result in tax consequences. If the property you inherit has appreciated in value since the original owner purchased it, you could be on … Continue reading ->The post How to Avoid Paying Taxes on Inherited Property appeared first on SmartAsset Blog.23h agoInvestor's Business DailyLi Auto, Nio, Xpeng EV Sales Jump As Wall Street Sees Leaders Emerge From The PackChinese EV stocks rebounded Wednesday as Li Auto joined rivals Nio and Xpeng in reporting a jump in November electric car sales.2h agoYahoo FinanceWill Microsoft fire back at Salesforce after its $27.7 billion Slack deal?Microsoft may not even yawn at Salesforce's big deal for Slack, says Wall Street.1h agoReutersChina buys first Indian rice in decades amid scarce supplyChina has begun importing Indian rice for the first time in at least three decades due to tightening supplies from Thailand, Myanmar and Vietnam and an offer of sharply discounted prices, Indian industry officials said. India is the world's biggest rice exporter and China the biggest importer. Beijing buys in around 4 million tonnes a year but has avoided purchases from India, citing quality issues.12h agoBarrons.comVerizon Stock Is ‘Simply Too Cheap’ Not to Buy, Analyst SaysMoffettNathanson’s Craig Moffett lifted his rating on the telecom giant to Buy from Neutral and changed his price target on the stock to $66 from $59.3h agoBloombergMerck Sells Stake in Moderna as Vaccine Gets FDA Review(Bloomberg) -- Merck & Co. said it sold its stake in Moderna Inc., the biotechnology company that’s in the midst of developing a Covid-19 vaccine. The shares of both companies rose.Merck sold its direct equity investment in Moderna during the first half of the fourth quarter, according to a statement from the U.S. drugmaker on Wednesday. No terms of the sale of the holdings were given.Shares of Moderna fell by as much as 9% as the U.S. market opened, but the stock recovered quickly and was up $2.5% to $144.50 at 10:05 a.m. in New York trading. The company’s stock has seen a more-than-sevenfold surge so far this year. Merck’s shares were up 0.42% to $81.90.Based in Cambridge, Massachusetts, Moderna is developing one of the fastest-moving potential coronavirus vaccines. The shot is slated for review by U.S. regulators in the coming weeks.Merck, which is also developing its own Covid-19 vaccines, was an early investor in Moderna, investing $50 million in 2015 and another $125 million in 2018. Moderna sold shares to the public for the first time in Dec. 2018. The U.S. drug giant said it had seen a large increase in the value of its investment since it first put money into the company.“Merck achieved a substantial gain on its direct holding in MRNA over the life of the investment, particularly in 2020 given the substantial appreciation in MRNA’s stock price,” the drugmaker said in its statement. A spokeswoman declined to provide additional details.Merck still holds an indirect exposure to Moderna through its investment in venture funds, the company said, and the drugmakers are working together on developing new cancer therapies.(Updates with additional details on Merck’s investment in the fifth 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.4h agoInvestor's Business DailyPfizer Jumps After Nabbing First-Ever Coronavirus Vaccine ApprovalPfizer stock jumped early Wednesday after the pharmaceutical company's BioNTech-partnered coronavirus vaccine gained authorization in the U.K. Also, Merck sold its investment in Moderna.4h agoReutersTesla CEO says he is open to friendly deal with rival carmakerTesla Chief Executive Elon Musk on Tuesday said he was open to discussing a merger of his start-up electric carmaker with a rival. Speaking at an Axel Springer event in Berlin, Musk was asked whether he would consider buying a rival carmaker given that Tesla's market value of more than $500 billion would make it easy to launch a takeover bid.1d agoInvestopediaWhat Income Reduces Social Security Benefits?You can get Social Security benefits and work at the same time. But if you haven't reached full retirement age, your benefits could be reduced.3h agoMoneyWiseThe 15 worst college majors for making moneyThink carefully about your choice so you can actually pay off your student debt.2d agoTipRanks2 Big Dividend Stocks Yielding 10%; Raymond James Says ‘Buy’Dividend stocks are the Swiss army knives of the stock market.When dividend stocks go up, you make money. When they don’t go up — you still make money (from the dividend). Heck, even when a dividend stock goes down in price, it’s not all bad news, because the dividend yield (the absolute dividend amount, divided by the stock price) gets richer the more the stock falls in price.Knowing all this, wouldn’t you like to find great dividend stocks? Of course you would. Raymond James analysts have chimed in – and they are recommending two high-yield dividend stocks for investors looking to find protection for their portfolio. These are stocks with a specific set of clear attributes: a dividend yield of 10% and Strong Buy ratings.Kimbell Royalty Partners (KRP)We’ll start with Kimbell Royalty Partners, a land investment company operating in some of the US’ major oil and gas producing regions: the Bakken of North Dakota, Pennsylvania’s Appalachian region, the Colorado Rockies, and several formations in Texas. Kimbell owns mineral rights in more than 13 million acres across these regions, and collects royalties from over 95,000 active wells. Over 40,000 of those wells are in the Permian Basin of Texas, the famous oil formation that has, in the past decade, helped turn the US from a net importer of hydrocarbons to a net exporter.The coronavirus crisis hit Kimbell directly in the pocketbook, knocking down share prices and earnings as economic restrictions, social lockdowns, and the economic downturn all struck at production and demand. The situation has only begun to revive, with the Q3 revenues growing 44% sequentially to reach $24.3 million.Kimbell has long been a reliable dividend payer, with a twist. Where most dividend stocks keep their payouts stable, typically making just adjustment in a year, Kimbell has a history of reevaluating its dividend payment every quarter. The result is a dividend that is rarely predictable – but is always affordable for the company. The last declaration, for the third quarter, was 19 cents per common share, or up 46% from the previous quarter. At that rate, the dividend yields ~10%,Covering the stock for Raymond James, analyst John Freeman noted, “Despite a strong quarterly performance and a nearly 50% distribution raise in 3Q, the market continues to under appreciate the unique value proposition of Kimbell's assets, in our view. Kimbell has a best-in-class 13% base decline, exposure to every major basin and commodity, as well as a very manageable leverage profile…”Regarding the possible anti-hydrocarbon stance of a Biden Administration, Freeman sees little reason for worry, saying, “Investors concerned about a potential Biden presidency (which appears increasingly likely) have little to fear in KRP. The company has less than ~2% of acreage on federal lands, meaning a frac ban on those properties would not have a material impact on KRP's business and might actually help them if it improved the overall supply impact."In line with these comments, Freeman rates KRP a Strong Buy, and his $9 price target implies it has room for 25% growth going forward. (To watch Freeman’s track record, click here)Wall Street appears to agree with Freeman, and the analyst consensus view is also a Strong Buy, based on 5 unanimous positive reviews. This stock is priced at $7.21, and its $11 average target is even more bullish than Freemans, suggesting a one-year upside of ~52%. (See KRP stock analysis on TipRanks)NexPoint Real Estate Finance (NREF)NexPoint inhabits the real estate trust niche, investing in mortgage loans on rental units, both single- and multi-family occupancy, along with self-storage units and office spaces. The company operates in the US, across major metropolitan hubs.NexPoint held its IPO in February this year, just before the coronavirus pandemic inspired an economic crisis. The offering saw 5 million shares sell, and brought in some $95 million in capital. Since then, the shares are down 13%. Earnings, however, have posted gains in each full quarter that the company has reported as a public entity, coming in at 37 cents per share in Q2 and 52 cents in Q3. The Q3 number was 30% above the forecast.The dividend here is also solid. NexPoint started out with a 22-cent per share payment in Q1, and raised it in Q2 to its current level of 40 cents per common share. This annualizes to $1.60, making the yield an impressive ~10%.Stephan Laws, 5-star analyst with Raymond James, is impressed with what he sees here. Laws writes of NexPoint, “Recent investments should drive significant core earnings growth, which is reflected in the increased 4Q guidance range of $0.49-0.53 per share (up from $0.46-0.50 per share). The guidance incorporates the full quarter impact of the new 3Q investments as well as new mezz investments made in October. We are increasing our 4Q and 2021 estimates, and we have increased confidence in our forecast for a 1Q21 dividend increase, which we now forecast at $0.45 per share…”Following these sentiments, Laws puts a Strong Buy rating on NREF. His $18 price target suggest the stock has a 9% upside potential for the year ahead. (To watch Laws’ track record, click here)With 2 recent Buy reviews, the analyst consensus on NREF shares is a Moderate Buy. The stock’s $18 average price target matches Laws’, implying 9% growth. (See NREF stock analysis on TipRanks)To find good ideas for dividend stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights.Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.2d agoInvestor's Business DailyIs GE Stock A Buy As Wall Street Gets Bullish On Turnaround?GE's turnaround is winning over more believers on Wall Street, and the Boeing 737 Max is returning to service soon. Is GE stock a buy right now?3h agoFX Empire3 Airline Stocks Ready for TakeoffAirlines stocks have shown signs of a turnaround over the last month. Here are three to put on the radar.1d agoCoinDeskGrayscale Ethereum Trust Announces 9-for-1 Stock SplitExisting shareholders will receive eight additional ETHE shares for each one held, with each new share being a ninth the value and price of the current ones.4h agoMarketWatchPalantir’s stock pummeled after Morgan Stanley recommends sellingShares of Palantir Technologies Inc. took a beating Wednesday, after Morgan Stanley analyst Keith Weiss turned bearish on the big-data software company, saying the sharp rally over the last couple months has led to an "unattractive" investment profile.4h agoTipRanksThese 2 “Strong Buy” Penny Stocks Could Go Boom, Says Roth CapitalWhat kind of stocks stir up controversy like no other? Penny stocks. These tickers trading for less than $5 per share have earned a reputation as some of the most divisive names on Wall Street, with these plays either met with open arms or given the cold shoulder.It’s understandable why some investors are wary. Those opposed are quick to point out that there could be a very real reason these stocks are changing hands for pocket change, with the low share prices often masking obstacles like weak fundamentals or troubling headwinds. That said, others are drawn in by the sheer growth potential of penny stocks. The fact is that even minor share price appreciation can mean huge percentage gains, and thus, serious returns. What’s more, your money goes further with these bargain names.No matter which side you take, one thing is certain, due diligence is necessary before making any investment decisions. That’s where the experts come in, namely the analysts at Roth Capital. These pros bring experience and in-depth knowledge to the table.With this in mind, our focus turned to two penny stocks that have received a thumbs up from Roth Capital analysts. Running the tickers through TipRanks’ database, both have been cheered by the rest of the Street as well, as they boast a “Strong Buy” analyst consensus. Not to mention substantial upside potential is on the table.Cellectar Biosciences (CLRB)Leveraging its patented phospholipid drug conjugates (PDCs) delivery platform, Cellectar Biosciences develops cutting-edge treatments for cancer. Based on the potential of its drug candidate, CLR 131, and its $1.24 share price, Roth Capital thinks that now is the time to get in on the action.Representing the firm, analyst Jonathan Aschoff tells clients that he is optimistic about CLR 131, which is a small-molecule, targeted PDC designed to deliver cytotoxic radiation directly and selectively to cancer cells, in the lymphoplasmacytic lymphoma (LPL)/Waldenstrom's macroglobulinemia (WM) indications. According to Aschoff, following its Type B guidance meeting with the FDA, “CLRB is prepared to initiate its first pivotal CLR 131 trial in LPL/WM after achieving a 100% ORR and 75% major response rate in four patients.” He points out that although CLRB just reported promising results in multiple myeloma (MM) (40% ORR in triple class refractory (TCR) patients at total body doses of at least 60mCi), LPL/WM was selected for the initial pivotal trial based on the very strong initial results and the lower competition for patients.“We view this as a prudent decision because NCCN compedia listing in MM is a mere peer-reviewed publication away, if first approved in LPL/WM. We also note that CLRB has steadily improved its dosing of CLR 131, essentially fractionating the doses so that higher total body doses are well tolerated,” Aschoff further explained. Adding to the good news, the therapy generated activity in preliminary Phase 1 unresectable brain tumors. Aschoff added, “Disease control was shown in two heavily pretreated patients with ependymomas, showing the drug's ability to cross the blood brain barrier, and all doses through 60 mCi/m2 have exhibited a favorable safety profile.”To this end, Aschoff rates CLRB a Buy along with a $10 price target. Investors could be pocketing a gain of 713%, should this target be met in the twelve months ahead. (To watch Aschoff’s track record, click here)Are other analysts in agreement? They are. 5 Buys and no Holds or Sells have been issued in the last three months. So, the message is clear: CLRB is a Strong Buy. Given the $5.48 average price target, shares could soar 345% from current levels. (See CLRB stock analysis on TipRanks)Applied Genetic Technologies (AGTC)With vast gene therapy experience, Applied Genetic Technologies designs and constructs all critical gene therapy elements and brings them together to develop successful treatments for patients. Currently going for $4.50 apiece, Roth Capital believes this stock’s long-term growth narrative is strong.Firm analyst Zegbeh Jallah points out that recently released data for its XLRP gene therapy program, which is expected to enter pivotal studies in Q1 2021, reaffirmed his bullish thesis. “Despite the market not fully appreciating the data given how the stock traded, we continue to believe that the results suggest that AGTC could have a best-in-class therapy, which is supportive of the planned pivotal efforts,” he explained.Providing an update on the results of the Phase 1/2 XLRP study, using the FDA's criteria, AGTC evaluated responses at 12 months in the lower dose groups (2 and 4), and 6 months in the higher dose groups (5 and 6). According to Jallah, “initial responses were observed in dose Groups 2, 3, 4, 5 and 6, with impressive response durability even at 12 months.”On top of this, at 6 months, the dose used in Group 5 resulted in a 43% response rate or a 57% response rate if excluding a patient not meeting the enrollment criteria. In Group 6, a response rate of 50% was observed, or 100% excluding patients not meeting the enrollment criteria.Jallah added, “All measurements were obtained in the 36 perimetry grid, which we believe should make it easier to preselect loci likely to respond. Although BCVA is not the primary endpoint, BCVA improvements, which can capture changes in the central region, were maintained at 12 months.”Even though some investors have expressed concern about Meira’s competing therapy, Jallah believes AGTC’s technology could have a leg up. “Overall, we believe that the data from both companies is strongly indicative of the efficacy potential of gene therapy for inherited retinal disease, and although differences in the study design makes direct comparisons difficult, we believe that AGTC could have a competitive advantage heading into pivotal studies,” he commented.In line with his optimistic approach, Jallah reiterated a Buy rating and $30 price target, indicating 568% upside potential. (To watch Jallah’s track record, click here)All in all, other analysts echo Jallah’s sentiment. 5 Buys and zero Holds or Sells add up to a Strong Buy consensus rating. The average price target of $18.25 is less aggressive than Jallah’s but still leaves room for upside potential of 306%. (See AGTC stock analysis on TipRanks)To find good ideas for penny stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights.Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.1d agoMore Stories
| Google AI is now piloting Loon's internet-beaming balloons | Google AI piloting Loons internetbeaming balloons HOME MAIL NEWS FINANCE SPORTS ENTERTAINMENT LIFE MORE Finance Premium Try free Yahoo FinanceSign Mail Sign view mail Finance Finance 2020 Election 2020 Election Watchlists Watchlists My Portfolio My Portfolio Screeners Screeners Saved ScreenersSaved Screeners Equity ScreenerEquity Screener Mutual Fund ScreenerMutual Fund Screener ETF ScreenerETF Screener Future ScreenerFuture Screener Index ScreenerIndex Screener Premium Premium DashboardDashboard Research ReportsResearch Reports Investment IdeasInvestment Ideas BlogBlog Markets Markets CryptocurrenciesCryptocurrencies CalendarsCalendars Trending TickersTrending Tickers Stocks: Most ActivesStocks: Most Actives Stocks: GainersStocks: Gainers Stocks: LosersStocks: Losers Top ETFsTop ETFs FuturesFutures World IndicesWorld Indices CurrenciesCurrencies Top Mutual FundsTop Mutual Funds Options: Highest Open InterestOptions: Highest Open Interest Options: Highest Implied VolatilityOptions: Highest Implied Volatility US Treasury Bonds RatesUS Treasury Bonds Rates Currency ConverterCurrency Converter News News Latest NewsLatest News 2020 Election2020 Election Stock Market NewsStock Market News Morning BriefMorning Brief TrumponomicsTrumponomics Aarthi SwaminathanAarthi Swaminathan Adam ShapiroAdam Shapiro Adriana BelmonteAdriana Belmonte Akiko FujitaAkiko Fujita Alexis ChristoforousAlexis Christoforous Alexis KeenanAlexis Keenan Amanda FungAmanda Fung Andy SerwerAndy Serwer Anjalee KhemlaniAnjalee Khemlani Ben WerschkulBen Werschkul Brian CheungBrian Cheung Brian SozziBrian Sozzi Daniel HowleyDaniel Howley Daniel RobertsDaniel Roberts Emily McCormickEmily McCormick Erin FuchsErin Fuchs Ethan WolffMannEthan WolffMann Javier E. DavidJavier E. David Jen RogersJen Rogers Jessica SmithJessica Smith Julia La RocheJulia La Roche Julie HymanJulie Hyman Kristin MyersKristin Myers Lisa ScherzerLisa Scherzer Lulu ChiangLulu Chiang Max ZahnMax Zahn Melody HahmMelody Hahm Michael KelleyMichael Kelley Myles UdlandMyles Udland Nishant MohanNishant Mohan Pras SubramanianPras Subramanian Reggie WadeReggie Wade Rick NewmanRick Newman Sam RoSam Ro Seana SmithSeana Smith Sheila BairSheila Bair Sibile MarcellusSibile Marcellus Zack GuzmanZack Guzman Personal Finance Personal Finance HomeHome RetirementRetirement TaxesTaxes Articles TutorialsArticles Tutorials RatesRates Videos Videos Yahoo Finance LiveYahoo Finance Live Influencers Andy SerwerInfluencers Andy Serwer Yahoo Finance PresentsYahoo Finance Presents A Time ChangeA Time Change Yahoo Finance All Markets SummitYahoo Finance All Markets Summit Berkshire HathawayBerkshire Hathaway EventsEvents ETF ReportETF Report DavosDavos Women MoneyWomen Money Industries Industries Basic MaterialsBasic Materials Communication ServicesCommunication Services Consumer CyclicalConsumer Cyclical Consumer DefensiveConsumer Defensive EnergyEnergy Financial ServicesFinancial Services HealthcareHealthcare IndustrialsIndustrials Real EstateReal Estate TechnologyTechnology UtilitiesUtilities Tech Tech ReviewsReviews How ToHow To GamesGames VideoVideo MoreMore U.S. markets close 1 hour 40 minutesSP 5003,664.251.80 0.05Dow 3029,817.256.67 0.02Nasdaq12,334.0521.06 0.17Russell 20001,830.845.21 0.28Crude Oil45.320.77 1.73Gold1,832.1013.20 0.73Silver24.100.01 0.06EURUSD1.21020.0023 0.1910Yr Bond0.94600.0120 1.28GBPUSD1.33670.0056 0.42USDJPY104.50500.1890 0.18BTCUSD19,037.2543.35 0.23CMC Crypto 200373.618.69 2.38FTSE 1006,463.3978.66 1.23Nikkei 22526,800.9813.44 0.05EngadgetGoogle AI piloting Loons internetbeaming balloonsRead articleKris HoltContributing WriterDecember 2, 2020, 12:54 PM2 min readAlphabets Loon shifted different type navigation internetbeaming balloons. Rather relying algorithms designed humans, balloons artificial intelligence Loon developed Google AI years.A reinforcement learning RL charge navigation fleet balloons Kenya, Loon switched commercial service earlier year. Loon says use RL model production aerospace system. It noted development exciting shows reinforcement learning applied realworld use cases. RL systems previously figured beat Go Dota 2 players.Loons AI figure optimal route balloons significantly faster previous navigation system. It efficiency well. Balloons travel similar greater distances power. Loons record flight duration 312 days set benchmark earlier year. Perhaps AI able balloons aloft longer.A Loon balloonLoon Google AI simulations train RL model trial error realworld testing began Peru. The team assessed capabilities directly humancrafted called StationSeeker 39day test Pacific Ocean. The AI able balloons target areas longer periods energy. Thats important, help provide consistent internet coverage people given area.StationSeeker tended head straight specific target location, flew reverse course. The AI concerned staying target area passively possible conserve energy needed. It complex maneuvers Loon team hadnt seen before.TRENDING 1. U.N. chief says U.S. leadership key fight climate emergency 2. Treasury Yield Spike Risks Sparking Domino Effect Markets 3. Biden early decision North Koreaadviser 4. Palantir stock sees worst day going public 5. Investors start broaden portfolios: Strategist Latest StoriesTipRanksBillionaire Jim Simons Places Bet 3 HighYield Dividend StocksA rising tide lifts boats, President John Kennedy said, seeing Wall Street, SP 500 NASDAQ near record high levels. The gains broadbased real, reflect growing optimism election COVID19 vaccine sight.So lets look back, way 1973, economist Burton Malkiel told blindfolded monkey throwing darts newspapers financial select portfolio carefully selected experts. He pointing effect random forces large sample stock market, 7,000 publicly traded equities, thousands active traders working daily, definitely large sample.But mathematician codebreaker Jim Simons taught crunch numbers. Simons recognized people monkeys access information transcends random effects. He invented quantitative trading, changed investment landscape forever.And present, Simons revealed recent 13F filings new stock positions bear closer look. These buyrated stocks boast 5 dividend yield there. We usedTipRanks databaseto makes picks compelling.Plains GP Holdings PAGPFirst Plains GP, oil gas midstream holding company. Plains controls assets oil gas transport sector, moves hydrocarbons head production sites refineries, storage tank farms, transport facilities. The company assets include nearly 19,000 miles pipelines, 8,000 crude oil railroad tankers, nearly 2,500 trucks tractortrailers, and, rivers, 20 transport tugs 50 barges. These assets oil gas 148 million barrels worth storage capacity.PAGP took hard hit earlier year declines price oil gas, reduced demand pandemicinspired economic shutdowns. By Q2, revenue half, 3.23 billion. The Q3 line shows beginning recovery, revenues coming 5.83 billion. Q3 EPS flat sequentially, 9 cents.The companys stock price, expected financial performance, failed gain traction fell winter start corona crisis. Shares PAGP 52 far year.The low share price, however, presents investors opportunity. Clearly, Jim Simons agree. His fund staked position PAGP buying 1,045,521 shares stock. The holding worth 8.44 million current share price.Plains GP kept commitment dividend. The company cut payment 36 cents share 18 cents April payment, kept level then. The cut kept yield exploding share price fell, kept payment affordable current income levels. The current payment annualizes 72 cents common share, gives yield 8.3.Raymond James analyst Justin Jenkins likes Plains ability generate cash. He writes, PAGPs cash flow profile actually improved year. While 2021 headwinds EBITDA 2020, lower capex costcutting measures implemented pandemic drive FCF inflection. We model Plains generating allin FCF surplus [...] We continue believe partnerships outlook better recent investor sentiment stock.In line comments, Jenkins rates PAGP Buy. His 9 price target suggests room grow 10 current levels. To watch Jenkins track record, click hereOverall, recent reviews PAGP record, Buys making analyst consensus unanimous Strong Buy. The stock selling 8.17, 10 average price target implies oneyear upside 22. See PAGP stock analysis TipRanksGranite Point Mortgage Trust GPMTNext up, Granite Point Mortgage Trust, mortgage loan company serving US customer base. The company invests senior floatingrate commercial mortgages, originating managing loans. The companys portfolio valued 1.8 billion.GPMT showing solid messages recent financial performance. The company beat forecasts earnings, reporting 27 cents share 20cent estimate, 35 beat. Revenues yearoveryear, company finished quarter 353 million cash cash equivalents.That foundation allowed GPMT dividend, company adjust payment 20 cents common share. At rate, annualizes 80 cents yields hefty 8.3. This compares favorably financial sector peers 4x higher average dividend SP listed companies. Granite Point Jim Simons new positions. The quant billionaire bought 155,800 shares real estate investment trust REIT, stake thats worth 1.48 million. Stephen Laws, covering stock Raymond James, sees GPMT potential winner dividend investors. He writes, We expect net income continue benefit LIBOR loans floors, increasing core earnings estimates reflect this. While GPMT reinstated quarterly dividend 0.20 share, company roughly 29 million undistributed taxable income September 30. Given this, anticipate special dividend 0.40 share declared prior yearend.The 5star analyst rates stock Outperform i.e. Buy, 11 price target implies 16 growth months. To watch Laws track record, click hereThis stock unanimous analyst rating recent Buys consensus view Moderate Buy. The average price target matches Laws, 11, indicates 16 upside current trading price 9.60. See GPMT stock analysis TipRanksPhillips 66 PSXLast list Simons new purchases Phillips 66, oil gas giant. With 107 billion annual revenues, 58 billion total assets, Phillips 66 deeply involved oil production, refining, marketing. The company large presence petrochemical industry.The low prices, economic shutdowns, unpredictable demand pressure PSXs share price year, stock partly rebounded winters swoon. PSX 40 yeartodate, 54 lateMarch trough.In quarter, Phillips 66 saw EPS loss 1 cent far better 80cent lost forecast. Revenues quarter came 15.93 billion, 45 previous quarter.The company pays 90 cents common share, 8year history keeping reliable payment occasional increases. The annualized payment 3.60 gives yield 5.4, utility sector average yield 3.3.Simons, part, impressed stock purchase 120,800 shares. Thats holding worth 7.47 million.In note PSX, Scotiabanks Paul Cheng notes key points, including counterintuitive. Passing Election Day actually trigger new buying group Biden win. Contrary widespread belief, sector historically outperformed general market year new Democrat Administration Cyclical sectors demand investors refocus attention election vaccine availability, Cheng opined. The analyst added, ...relative refiners, PSX benefit rising oil price environment given large chemical NGL operations.To end, Cheng rates PSX Outperform i.e. Buy. He sets 79 price target, indicating upside potential 25 12 months. To watch Chengs track record, click hereAll all, Phillips 66 broadbased thumbsup Wall Street clear 11 Buy ratings stock, giving Strong Buy analyst consensus. See PSX stock analysis TipRanksTo good ideas dividend stocks trading attractive valuations, visit TipRanks Best Stocks Buy, newly launched tool unites TipRanks equity insights.Disclaimer: The opinions expressed article solely featured analysts. The content intended informational purposes only. It important analysis making investment.4h agoInvestors Business DailyDow Jones Rallies As Biden Makes China Pledge, Senior Democrat Outlines Stimulus HopeThe Dow Jones rallied Presidentelect Joe Biden said immediately remove tariffs imposed China President Donald Trump.38m agoMarketWatch20 electric vehicle stocks outside Tesla Nio expected analysts rise yearAnalysts favor companies supply EV manufacturers develop technology support infrastructure autonomous driving.3h agoInvestors Business DailyPalantir Stock Falls As Analyst Says Rally Not Grounded In FundamentalsShares Palantir Technologies fell straight trading session investors took profits Morgan Stanley downgraded data analytics software maker following big runup.2h agoSmartAssetHow Avoid Paying Taxes Inherited PropertyInheriting home property increase value estate result tax consequences. If property inherit appreciated value original owner purchased it, Continue reading >The post How Avoid Paying Taxes Inherited Property appeared SmartAsset Blog.23h agoInvestors Business DailyLi Auto, Nio, Xpeng EV Sales Jump As Wall Street Sees Leaders Emerge From The PackChinese EV stocks rebounded Wednesday Li Auto joined rivalsNio Xpeng reporting jump November electric car sales.2h agoYahoo FinanceWill Microsoft Salesforce 27.7 billion Slack deal?Microsoft yawn Salesforces big deal Slack, says Wall Street.1h agoReutersChina buys Indian rice decades amid scarce supplyChina begun importing Indian rice time decades tightening supplies Thailand, Myanmar Vietnam offer sharply discounted prices, Indian industry officials said. India worlds biggest rice exporter China biggest importer. Beijing buys 4 million tonnes year avoided purchases India, citing quality issues.12h agoBarrons.comVerizon Stock Is Simply Too Cheap Not Buy, Analyst SaysMoffettNathansons Craig Moffett lifted rating telecom giant Buy Neutral changed price target stock 66 59.3h agoBloombergMerck Sells Stake Moderna Vaccine Gets FDA ReviewBloomberg Merck Co. said sold stake Moderna ., biotechnology company thats midst developing Covid19 vaccine. The shares companies rose.Merck sold direct equity investment Moderna half fourth quarter, according statement U.S. drugmaker Wednesday. No terms sale holdings given.Shares Moderna fell 9 U.S. market opened, stock recovered quickly 2.5 144.50 10:05 a.m. New York trading. The companys stock seen morethansevenfold surge far year. Mercks shares 0.42 81.90.Based Cambridge, Massachusetts, Moderna developing fastestmoving potential coronavirus vaccines. The shot slated review U.S. regulators coming weeks.Merck, developing Covid19 vaccines, early investor Moderna, investing 50 million 2015 125 million 2018. Moderna sold shares public time Dec. 2018. The U.S. drug giant said seen large increase value investment money company.Merck achieved substantial gain direct holding MRNA life investment, particularly 2020 given substantial appreciation MRNAs stock price, drugmaker said statement. A spokeswoman declined provide additional details.Merck holds indirect exposure Moderna investment venture funds, company said, drugmakers working developing new cancer therapies.Updates additional details Mercks investment fifth paragraphFor articles like this, visit bloomberg.com stay ahead trusted business news source.2020 Bloomberg L.P.4h agoInvestors Business DailyPfizer Jumps After Nabbing FirstEver Coronavirus Vaccine ApprovalPfizer stock jumped early Wednesday pharmaceutical companys BioNTechpartnered coronavirus vaccine gained authorization U.K. Also, Merck sold investment Moderna.4h agoReutersTesla CEO says open friendly deal rival carmakerTesla Chief Executive Elon Musk Tuesday said open discussing merger startup electric carmaker rival. Speaking Axel Springer event Berlin, Musk asked consider buying rival carmaker given Teslas market value 500 billion easy launch takeover bid.1d agoInvestopediaWhat ome Reduces Social Security Benefits?You Social Security benefits work time. But havent reached retirement age, benefits reduced.3h agoMoneyWiseThe 15 worst college majors making moneyThink carefully choice actually pay student debt.2d agoTipRanks2 Big Dividend Stocks Yielding 10; Raymond James Says BuyDividend stocks Swiss army knives stock market.When dividend stocks up, money. When dont money dividend. Heck, dividend stock goes price, bad news, dividend yield absolute dividend amount, divided stock price gets richer stock falls price.Knowing this, wouldnt like great dividend stocks? Of course would. Raymond James analysts chimed recommending highyield dividend stocks investors looking protection portfolio. These stocks specific set clear attributes: dividend yield 10 Strong Buy ratings.Kimbell Royalty Partners KRPWell start Kimbell Royalty Partners, land investment company operating US major oil gas producing regions: Bakken North Dakota, Pennsylvanias Appalachian region, Colorado Rockies, formations Texas. Kimbell owns mineral rights 13 million acres regions, collects royalties 95,000 active wells. Over 40,000 wells Permian Basin Texas, famous oil formation has, past decade, helped turn US net importer hydrocarbons net exporter.The coronavirus crisis hit Kimbell directly pocketbook, knocking share prices earnings economic restrictions, social lockdowns, economic downturn struck production demand. The situation begun revive, Q3 revenues growing 44 sequentially reach 24.3 million.Kimbell long reliable dividend payer, twist. Where dividend stocks payouts stable, typically making adjustment year, Kimbell history reevaluating dividend payment quarter. The result dividend rarely predictable affordable company. The declaration, quarter, 19 cents common share, 46 previous quarter. At rate, dividend yields 10,Covering stock Raymond James, analyst John Freeman noted, Despite strong quarterly performance nearly 50 distribution raise 3Q, market continues appreciate unique value proposition Kimbells assets, view. Kimbell bestinclass 13 base decline, exposure major basin commodity, manageable leverage profileRegarding possible antihydrocarbon stance Biden Administration, Freeman sees little reason worry, saying, Investors concerned potential Biden presidency appears increasingly likely little fear KRP. The company 2 acreage federal lands, meaning frac ban properties material impact KRPs business actually help improved overall supply impact.In line comments, Freeman rates KRP Strong Buy, 9 price target implies room 25 growth going forward. To watch Freemans track record, click hereWall Street appears agree Freeman, analyst consensus view Strong Buy, based 5 unanimous positive reviews. This stock priced 7.21, 11 average target bullish Freemans, suggesting oneyear upside 52. See KRP stock analysis TipRanksNexPoint Real Estate Finance NREFNexPoint inhabits real estate trust niche, investing mortgage loans rental units, single multifamily occupancy, selfstorage units office spaces. The company operates US, major metropolitan hubs.NexPoint held IPO February year, coronavirus pandemic inspired economic crisis. The offering saw 5 million shares sell, brought 95 million capital. Since then, shares 13. Earnings, however, posted gains quarter company reported public entity, coming 37 cents share Q2 52 cents Q3. The Q3 number 30 forecast.The dividend solid. NexPoint started 22cent share payment Q1, raised Q2 current level 40 cents common share. This annualizes 1.60, making yield impressive 10.Stephan Laws, 5star analyst Raymond James, impressed sees here. Laws writes NexPoint, Recent investments drive significant core earnings growth, reflected increased 4Q guidance range 0.490.53 share 0.460.50 share. The guidance incorporates quarter impact new 3Q investments new mezz investments October. We increasing 4Q 2021 estimates, increased confidence forecast 1Q21 dividend increase, forecast 0.45 shareFollowing sentiments, Laws puts Strong Buy rating NREF. His 18 price target suggest stock 9 upside potential year ahead. To watch Laws track record, click hereWith 2 recent Buy reviews, analyst consensus NREF shares Moderate Buy. The stocks 18 average price target matches Laws, implying 9 growth. See NREF stock analysis TipRanksTo good ideas dividend stocks trading attractive valuations, visit TipRanks Best Stocks Buy, newly launched tool unites TipRanks equity insights.Disclaimer: The opinions expressed article solely featured analysts. The content intended informational purposes only. It important analysis making investment.2d agoInvestors Business DailyIs GE Stock A Buy As Wall Street Gets Bullish On Turnaround?GEs turnaround winning believers Wall Street, Boeing 737 Max returning service soon. Is GE stock buy right now?3h agoFX Empire3 Airline Stocks Ready TakeoffAirlines stocks shown signs turnaround month. Here radar.1d agoCoinDeskGrayscale Ethereum Trust Announces 9for1 Stock SplitExisting shareholders receive additional ETHE shares held, new share ninth value price current ones.4h agoMarketWatchPalantirs stock pummeled Morgan Stanley recommends sellingShares Palantir Technologies . took beating Wednesday, Morgan Stanley analyst Keith Weiss turned bearish bigdata software company, saying sharp rally couple months led unattractive investment profile.4h agoTipRanksThese 2 Strong Buy Penny Stocks Could Go Boom, Says Roth CapitalWhat kind stocks stir controversy like other? Penny stocks. These tickers trading 5 share earned reputation divisive names Wall Street, plays met open arms given cold shoulder.Its understandable investors wary. Those opposed quick point real reason stocks changing hands pocket change, low share prices masking obstacles like weak fundamentals troubling headwinds. That said, drawn sheer growth potential penny stocks. The fact minor share price appreciation mean huge percentage gains, thus, returns. Whats more, money goes bargain names.No matter take, thing certain, diligence necessary making investment decisions. Thats experts come in, analysts Roth Capital. These pros bring experience indepth knowledge table.With mind, focus turned penny stocks received thumbs Roth Capital analysts. Running tickers TipRanks database, cheered rest Street well, boast Strong Buy analyst consensus. Not mention substantial upside potential table.Cellectar Biosciences CLRBLeveraging patented phospholipid drug conjugates PDCs delivery platform, Cellectar Biosciences develops cuttingedge treatments cancer. Based potential drug candidate, CLR 131, 1.24 share price, Roth Capital thinks time action.Representing firm, analyst Jonathan Aschoff tells clients optimistic CLR 131, smallmolecule, targeted PDC designed deliver cytotoxic radiation directly selectively cancer cells, lymphoplasmacytic lymphoma LPLWaldenstroms macroglobulinemia WM indications. According Aschoff, following Type B guidance meeting FDA, CLRB prepared initiate pivotal CLR 131 trial LPLWM achieving 100 ORR 75 major response rate patients. He points CLRB reported promising results multiple myeloma MM 40 ORR triple class refractory TCR patients total body doses 60mCi, LPLWM selected initial pivotal trial based strong initial results lower competition patients.We view prudent decision NCCN compedia listing MM mere peerreviewed publication away, approved LPLWM. We note CLRB steadily improved dosing CLR 131, essentially fractionating doses higher total body doses tolerated, Aschoff explained. Adding good news, therapy generated activity preliminary Phase 1 unresectable brain tumors. Aschoff added, Disease control shown heavily pretreated patients ependymomas, showing drugs ability cross blood brain barrier, doses 60 mCim2 exhibited favorable safety profile.To end, Aschoff rates CLRB Buy 10 price target. Investors pocketing gain 713, target met months ahead. To watch Aschoffs track record, click hereAre analysts agreement? They are. 5 Buys Holds Sells issued months. So, message clear: CLRB Strong Buy. Given 5.48 average price target, shares soar 345 current levels. See CLRB stock analysis TipRanksApplied Genetic Technologies AGTCWith vast gene therapy experience, Applied Genetic Technologies designs constructs critical gene therapy elements brings develop successful treatments patients. Currently going 4.50 apiece, Roth Capital believes stocks longterm growth narrative strong.Firm analyst Zegbeh Jallah points recently released data XLRP gene therapy program, expected enter pivotal studies Q1 2021, reaffirmed bullish thesis. Despite market fully appreciating data given stock traded, continue believe results suggest AGTC bestinclass therapy, supportive planned pivotal efforts, explained.Providing update results Phase 12 XLRP study, FDAs criteria, AGTC evaluated responses 12 months lower dose groups 2 4, 6 months higher dose groups 5 6. According Jallah, initial responses observed dose Groups 2, 3, 4, 5 6, impressive response durability 12 months.On this, 6 months, dose Group 5 resulted 43 response rate 57 response rate excluding patient meeting enrollment criteria. In Group 6, response rate 50 observed, 100 excluding patients meeting enrollment criteria.Jallah added, All measurements obtained 36 perimetry grid, believe easier preselect loci likely respond. Although BCVA primary endpoint, BCVA improvements, capture changes central region, maintained 12 months.Even investors expressed concern Meiras competing therapy, Jallah believes AGTCs technology leg up. Overall, believe data companies strongly indicative efficacy potential gene therapy inherited retinal disease, differences study design makes direct comparisons difficult, believe AGTC competitive advantage heading pivotal studies, commented.In line optimistic approach, Jallah reiterated Buy rating 30 price target, indicating 568 upside potential. To watch Jallahs track record, click hereAll all, analysts echo Jallahs sentiment. 5 Buys zero Holds Sells add Strong Buy consensus rating. The average price target 18.25 aggressive Jallahs leaves room upside potential 306. See AGTC stock analysis TipRanksTo good ideas penny stocks trading attractive valuations, visit TipRanks Best Stocks Buy, newly launched tool unites TipRanks equity insights.Disclaimer: The opinions expressed article solely featured analysts. The content intended informational purposes only. It important analysis making investment.1d agoMore Stories | 2,020 | [
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] | 1 | NEGATIVE | 609 |
https://thedailyripple.org/index.php/rss-world/509769-the-case-for-a-light-hand-with-ai-and-a-hard-line-on-china | 2020-01-15T00:00:00 | en | The Daily Ripple-News Music Ideas - The Case for a Light Hand With AI and a Hard Line on China |
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The Case for a Light Hand With AI and a Hard Line on China
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Published on Tuesday, 14 January 2020 20:00
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In a WIRED Q&A, the US chief technology officer warns against overregulating tech, underestimating the Chinese, and losing America's lead in quantum computing.Read more https://www.wired.com/story/light-hand-ai-hard-line-china
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| The Daily Ripple-News Music Ideas | The Daily RippleNews Music Ideas The Case Light Hand With AI Hard Line China The Daily RippleNews Music Ideas Switch desktop HomeFoodHealthArtMusic Music Reviewer David Masciotra Music Reviewer Bobby Moore Music Reviewer Lee Zimmerman Music Reviewer Henry Carrigan Music Reviewer Jim Hynes Music Reviewer David McPherson Music Reviewer John Moore Music Reviewer Eleni P. Austin Music Reviewer Dan MacIntoshEnvironment Space Nature Climate Crisis WaterWorld Politics RussiaRightsJustice Sex Issues Immigrants RefugeesRipplesUS CivicsVote VoteTest Blog TDR Jun 2017 TDR March 2017 TDR Jan 2017 TDR Jul 2017 TDRSep 2017 TDRJan 2018 TDR Dec 2017 TDR Feb 2018 TDR Mar 2018 TDR Apr 2018 TDR May 2018 TDR Jul 2018 TDR Aug 2018 TDR Oct 2018 TDR Nov 2018 TDR Feb 2019 TDR Apr 2019 TDR May 2019 TDR Jul 2019tdr General Store Bookstdr General Store Gardeningtdr General Store Indoorstdr General Store Sundriestdr General Store Solartdr General Store ApparelEconomyBroadsheet Mobile Test Top The Case Light Hand With AI Hard Line China Category: World Published Tuesday, 14 January 2020 20:00 Hits: 2 In WIRED QA, US chief technology officer warns overregulating tech, underestimating Chinese, losing Americas lead quantum computing.Read fShare Tweet News aggregator updating headlines day news Links international news, social commentary columnists creating better world. External links provided reference purposes. The Daily Ripple responsible content external Internet sites. tlr workshop 2015 Top Desktop version | 2,020 | [
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https://3wnews.org/industry/399172/enterprise-artificial-intelligence-market-insights-new-project-investment-potential-growth-scope-and-forecast-2027-key-players-alphabet-inc-google-inc-apple-inc-amazon-web-services/ | 2020-03-24T00:00:00 | en | Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope and Forecast 2027 | key players Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, – 3rd Watch News |
Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope and Forecast 2027 | key players Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, – 3rd Watch News
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Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope and Forecast 2027 | key players Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services,
Posted On: March 24, 2020
Posted By: Sameer Joshi
Comments: 0
Artificial intelligence has been one of the fastest-growing technologies in recent years. AI is associated to human intelligence with similar characteristics, such as language understanding, reasoning, learning, problem solving and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. AI is positioned at the core of the next-gen software technologies in the market. Companies, such as Google, IBM, Microsoft and other leading players, have actively implemented AI as a crucial part of their technologies. The report is a professional, all-inclusive study on the present state of the Enterprise Artificial Intelligence (AI) industry with a focus on the global market. Through the statistical analysis, the report depicts the global total market of the Enterprise Artificial Intelligence (AI) Element industry including capacity, production, production value, cost/profit, supply/demand, and Chinese import/export. In general, the study presents a detailed overview of the worldwide market covering all major parameters.
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Global Enterprise Artificial Intelligence (AI) Market by Companies:
Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, IPsoft, Micro Strategy Incorporated
Owning our reports will help you solve the following issues: –
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Our research and insights help our clients to foresee upcoming revenue pockets and growth areas. This helps our clients to invest or divest their resources.
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Our research ranks investment centers of the market by considering their returns, future demands, and profit margins. Our clients can focus on the most prominent investment centers by procuring our market research.
4. Evaluating potential business partners?
Our research and insights help our clients in identifying compatible business partners.
Enterprise Artificial Intelligence (AI) Market by Region Segmentation:
North America Country (United States, Canada)
Asia Country (China, Japan, India, Korea)
Europe Country (Germany, UK, France, Italy)
Other Country (Middle East, Africa, GCC)
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Key Points Describing Various Features of Report:-
Manufacturing Analysis – The Enterprise Artificial Intelligence (AI) market includes a section featuring manufacturing process investigation approved by means of essential data collated through Industry specialists and Key authorities of profiled organizations.
Enterprise Artificial Intelligence (AI) Market Competition – Leading professionals have been investigated depending on their company profile, product database, capacity, product/service value, transactions, and cost/revenue.
Demand & Supply and Effectiveness – Furthermore, The Enterprise Artificial Intelligence (AI) report provides information on distribution, Production, Consumption & EXIM (Export & Import).
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Finally, the Enterprise Artificial Intelligence (AI) Market report is an authentic source for gaining the market research that is likely to exponentially accelerate your business. The report gives the principle locale, economic situations coupled with item value, benefit, limit, generation, supply, request, and market development rate and figure and so on. The Enterprise Artificial Intelligence (AI) report additionally presents a new task SWOT examination, speculation attainability investigation, and venture return investigation.
Major Topics Covered in this Report –
Chapter 1 Study Coverage
Chapter 2 Executive Summary
Chapter 3 Market Size by Manufacturers
Chapter 4 Production by Regions
Chapter 5 Consumption by Regions
Chapter 6 Market Size by Type
Chapter 7 Market Size by Application
Chapter 8 Manufacturers Profiles
Chapter 9 Production Forecasts
Chapter 10 Consumption Forecast
Chapter 11 Upstream, Industry Chain and Downstream Customers Analysis
Chapter 12 Opportunities & Challenges, Threat and Affecting Factors
Chapter 13 Key Findings
Chapter 14 Appendix
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| Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope and Forecast 2027 | Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope Forecast 2027 key players Alphabet . Google ., Apple ., Amazon Web Services, 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 HomeIndustryEnterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope Forecast 2027 key players Alphabet . Google ., Apple ., Amazon Web Services, Enterprise Artificial Intelligence Market Insights, New Project Investment, Potential Growth Scope Forecast 2027 key players Alphabet . Google ., Apple ., Amazon Web Services, Posted On: March 24, 2020 Posted By: Sameer Joshi Comments: 0 Artificial intelligence fastestgrowing technologies recent years. AI associated human intelligence similar characteristics, language understanding, reasoning, learning, problem solving others. Manufacturers market witness enormous underlying intellectual challenges development revision technology. AI positioned core nextgen software technologies market. Companies, Google, IBM, Microsoft leading players, actively implemented AI crucial technologies. The report professional, allinclusive study present state Enterprise Artificial Intelligence AI industry focus global market. Through statistical analysis, report depicts global total market Enterprise Artificial Intelligence AI Element industry includingcapacity, production, production value, costprofit, supplydemand, Chinese importexport.In general, study presents detailed overview worldwide market covering major parameters. To Get This Report At Beneficial Rates: Global Enterprise Artificial Intelligence AI Market Companies: Alphabet . Google ., Apple ., Amazon Web Services, ., International Business Machines Corporation, IPsoft, Micro Strategy orporated Owning reports help solve following issues: Uncertainty future? Our research insights help clients foresee upcoming revenue pockets growth areas. This helps clients invest divest resources. 2. Understanding market sentiments? It imperative fair understanding market sentiments strategy. Our insights furnish hawkeye view market sentiment. We observation engaging Key Opinion Leaders value chain industry track. 3. Understanding reliable investment centers? Our research ranks investment centers market considering returns, future demands, profit margins. Our clients focus prominent investment centers procuring market research. 4. Evaluating potential business partners? Our research insights help clients identifying compatible business partners. Enterprise Artificial Intelligence AI Market Region Segmentation: North America CountryUnited States, Canada Asia CountryChina, Japan, India, Korea Europe CountryGermany, UK, France, Italy Other CountryMiddle East, Africa, GCC Make Enquiry This Report @ Key Points Describing Various Features Report: Manufacturing Analysis The Enterprise Artificial Intelligence AI market includes section featuring manufacturing process investigation approved means essential data collated Industry specialists Key authorities profiled organizations. Enterprise Artificial Intelligence AI Market Competition Leading professionals investigated depending company profile, product database, capacity, productservice value, transactions, costrevenue. Demand Supply Effectiveness Furthermore, The Enterprise Artificial Intelligence AI report provides information distribution, Production, Consumption EXIM Export Import. Request customized copy Enterprise Artificial Intelligence AI report If wish details report want customization, contact us. You detailed entire research here. If special requirements, let know customize report want. Finally, Enterprise Artificial Intelligence AI Market report authentic source gaining market research likely exponentially accelerate business. The report gives principle locale, economic situations coupled item value, benefit, limit, generation, supply, request, market development rate figure on. The Enterprise Artificial Intelligence AI report additionally presents new task SWOT examination, speculation attainability investigation, venture return investigation. Major Topics Covered Report Chapter 1 Study Coverage Chapter 2 Executive Summary Chapter 3 Market Size Manufacturers Chapter 4 Production Regions Chapter 5 Consumption Regions Chapter 6 Market Size Type Chapter 7 Market Size Application Chapter 8 Manufacturers Profiles Chapter 9 Production Forecasts Chapter 10 Consumption Forecast Chapter 11 Upstream, Industry Chain Downstream Customers Analysis Chapter 12 Opportunities Challenges, Threat Affecting Factors Chapter 13 Key Findings Chapter 14 Appendix About Premium market insights: stop shop market research reports solutions companies globe. We help clients decision support helping choose relevant cost effective research reports solutions publishers. We provide best class customer service customer support team available help research queries. Sameer Joshi Call: US: 16464919876, Apac: 912067274191 Email: [emailprotected] Alphabet . 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https://www.popularmechanics.com/military/aviation/a34978872/artificial-intelligence-controls-u2-spy-plane-air-force-exclusive/ | 2020-12-16T00:00:00 | en | Air Force Flies AI Copilot on U-2 Spy Plane: Exclusive Details |
Air Force Flies AI Copilot on U-2 Spy Plane: Exclusive Details
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The U.S. Air Force flew an artificial intelligence (AI) copilot on a U-2 spy plane in California.The flight marked the first time in the history of the Department of Defense that an AI took flight aboard a military aircraft.The AI algorithm, developed by Air Combat Command’s U-2 Federal Laboratory, trained the AI to execute specific in-flight tasks that would otherwise be done by the pilot. On December 15, the United States Air Force successfully flew an AI copilot on a U-2 spy plane in California, marking the first time AI has controlled a U.S. military system. In this Popular Mechanics exclusive, Dr. Will Roper, the Assistant Secretary of the Air Force for Acquisition, Technology and Logistics, reveals how he and his team made history.For Star Wars fans, an X-Wing fighter isn’t complete without R2-D2. Whether you need to fire up converters, increase power, or fix a broken stabilizer, that trusty droid, full of lively beeps and squeaks, is the ultimate copilot. ✈ You love badass planes. So do we. Let's nerd out over them together.Teaming artificial intelligence (AI) with pilots is no longer just a matter for science fiction or blockbuster movies. On Tuesday, December 15, the Air Force successfully flew an AI copilot on a U-2 spy plane in California: the first time AI has controlled a U.S. military system.
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Completing over a million training runs prior, the flight was a small step for the computerized copilot, but it’s a giant leap for “computerkind” in future military operations.The U.S. military has historically struggled developing digital capabilities. It’s hard to believe difficult-to-code computers and hard-to-access data—much less AI—held back the world’s most lethal hardware not so long ago in an Air Force not far, far away.But starting three years ago, the Air Force took its own giant leap toward the digital age. Finally cracking the code on military software, we built the Pentagon’s first commercially-inspired development teams, coding clouds, and even a combat internet that downed a cruise missile at blistering machine speeds. But our recent AI demo is one for military record books and science fiction fans alike.
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With call sign ARTUµ, we trained µZero—a world-leading computer program that dominates chess, Go, and even video games without prior knowledge of their rules—to operate a U-2 spy plane. Though lacking those lively beeps and squeaks, ARTUµ surpassed its motion picture namesake in one distinctive feature: it was the mission commander, the final decision authority on the human-machine team. And given the high stakes of global AI, surpassing science fiction must become our military norm.
A U-2 Dragon Lady assigned to the 9th Reconnaissance Wing takes off from the runway at Beale Air Force, California, Dec. 15, 2020.
A1C Luis A.Ruiz-Vazquez
Our demo flew a reconnaissance mission during a simulated missile strike at Beale Air Force Base on Tuesday. ARTUµ searched for enemy launchers while our pilot searched for threatening aircraft, both sharing the U-2’s radar. With no pilot override, ARTUµ made final calls on devoting the radar to missile hunting versus self-protection. Luke Skywalker certainly never took such orders from his X-Wing sidekick!
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The fact ARTUµ was in command was less about any particular mission than how completely our military must embrace AI to maintain the battlefield decision advantage. Unlike Han Solo’s “never-tell-me-the-odds” snub of C-3PO’s asteroid field survival rate (approximately 3,720 to 1), our warfighters need to know the odds in dizzyingly-complex combat scenarios. Teaming with trusted AI across all facets of conflict—even occasionally putting it in charge—could tip those odds in our favor. 🛫 Our Favorite Hobby RC Planes
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But to trust AI, software design is key. Like a breaker box for code, the U-2 gave ARTUµ complete radar control while “switching off” access to other subsystems. Had the scenario been navigating an asteroid field—or more likely field of enemy radars—those “on-off” switches could adjust. The design allows operators to choose what AI won’t do to accept the operational risk of what it will. Creating this software breaker box—instead of Pandora’s—has been an Air Force journey of more than a few parsecs.
Dr. Jeannine Abira, U-2 Federal Labratory Director of Advanced Mathamatics and Algorithim Development (left) and Dr. Jesse Angle, U-2 Federal Laboratory Technical Director (right), work on a computer Sep. 21, 2020 at Beale Air Force Base, California. The U-2 Federal Laboratory is a 15 U.S.C. compliant organization that promotes “edge development” a concept to develop new software integration on operational systems.
A1C Luis A.Ruiz-Vazquez
U.S. Air Force Gen. Mark Kelly, right, commander of Air Combat Command, and U.S. Air Force Command Chief Master Sgt. David Wade, Air Combat Command, receive a brief from U-2 Federal Laboratory staff about the organization’s stand-up and recent projects, Dec. 4, 2020, at Beale Air Force Base, California.
U.S. Air Force photo by Staff Sgt. Colville McFee
The journey began early in 2018, when I approved a hoodie-wearing Air Force team (fittingly named Kessel Run for a Star Wars smuggling route) to “smuggle” commercial DevSecOps software practices into our Air Operations Center. By merging development, security, and operations using modern information technology, DevSecOps produced higher-quality code faster and more continuously. Sounds perfect for a digitally-challenged Pentagon, right?
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You’d think. Kessel Run bent all the rules and definitely “shot first” at the Pentagon’s fixation on five-year development plans with crippling baselines. As Han Solo advocated, keeping momentum sometimes required a good blaster at our side. Thankfully, Kessel Run’s results were game-changing, outpacing previous programs and inspiring a generation of Air Force and Space Force DevSecOps teams, including our U-2 FedLab.
"Given the high stakes of global AI, surpassing science fiction must become our military norm."
But coding effectively is only one element of trusted AI design. A year later, I directed a Service-wide adoption of coding clouds using landmark technologies containerization and Kubernetes. Containers virtualize and isolate everything code needs to run for Kubernetes then to orchestrate, selectively powering disparate software like a dynamic-but-secure breaker box.
U.S. Air Force Maj. “Vudu”, U-2 Dragon Lady pilot for the 9th Reconnaissance Wing, enters the cockpit while a 9th Physiological Support Airman assists him at Beale Air Force, California, Dec. 15, 2020.
A1C Luis A.Ruiz-Vazquez
Running ARTUµ containers in our FedLab cloud also proved they would run identically on the U-2—no lengthy safety or interference checks required! This is how we get evolving software—especially AI—out of our clouds and safely onto planes flying through them.Yet this trusted design didn’t create ARTUµ’s copilot abilities. You have to train for that. Like a digital Yoda, our small-but-mighty U-2 FedLab trained µZero’s gaming algorithms to operate a radar—reconstructing them to learn the good side of reconnaissance (enemies found) from the dark side (U-2s lost)—all while interacting with a pilot. Running over a million training simulations at their “digital Dagobah,” they had ARTUµ mission-ready in just over a month.
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So my recent U-2 AI pathfinder—and military AI more generally—was really a three-year journey to becoming a software-savvy Air Force. But why not skip computerized copilots and wingmen and create a purely autonomous Force? After all, a computer won DARPA’s recent dogfight, and we’re already developing autonomous mini-fighters in our Skyborg program. That autonomous future will happen eventually. But today’s AI can be easily fooled by adversary tactics, precisely what future warfare will throw at it.
U.S. Air Force Maj. “Vudu”, U-2 Dragon Lady pilot for the 9th Reconnaissance Wing, prepares to taxi after returning from a training sortie at Beale Air Force, California, Dec. 15, 2020.
A1C Luis A.Ruiz-Vazquez
Like board or video games, human pilots could only try outperformingDARPA’s AI while obeying the rules of the dogfighting simulation, rules the AI had algorithmically learned and mastered. The loss is a wakeup call for new digital trickery to outfox machine learning principles themselves. Even R2-D2 confused computer terminals with harmful power sockets!As we complete our first generation of AI, we must also work on algorithmic stealth and countermeasures to defeat it. Though likely as invisible to human pilots as radar beams and jammer strobes, they’ll need similar instincts for them—as well as how to fly with and against first-generation AI—as we invent the next. Algorithmic warfare has begun.Now if only we could master those hyperdrives, too.Watch Next:
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| Air Force Flies AI Copilot on U-2 Spy Plane: Exclusive Details | Air Force Flies AI Copilot U2 Spy Plane: Exclusive Details Follow Facebook Instagram Twitter Pinterest Youtube Get Our Newsletter Pop Mech Pro Home DIY Power Tools Cars, Trucks, Motorcycles Technology Military Gear Gadget Reviews Science SciFi Airplanes Space Podcasts Promotions Win Do Not Sell My Personal Information Privacy NoticeNotice Collection Terms Use PM_Logo My Account Sign Out Type keywords search Todays Top Stories 1 Exclusive: AI Pilots Military Plane First Time 2 25 LastMinute Gifts Stocking Stuffers 3 This Is Not Your Fathers Tomahawk Cruise Missile 4 Mass Extinctions Happen Every 27 Million Years 5 I Bought Ghost Town Pop Mech Pro Gearobsessed editors choose product review. We earn commission buy link. How test gear. Exclusive: AI Just Controlled Military Plane First Time Ever The U.S. Air Force tells successfully flew AI copilot U2 spy planeand kicked age algorithmic warfare. By Dr. Will Roper Dec 16, 2020 A1C Luis A.RuizVazquez The U.S. Air Force flew artificial intelligence AI copilot U2 spy plane California.The flight marked time history Department Defense AI took flight aboard military aircraft.The AI algorithm, developed Air Combat Commands U2 Federal Laboratory, trained AI execute specific inflight tasks pilot. On December 15, United States Air Force successfully flew AI copilot U2 spy plane California, marking time AI controlled U.S. military system. In Popular Mechanics exclusive, Dr. Will Roper, Assistant Secretary Air Force Acquisition, Technology Logistics, reveals team history.For Star Wars fans, XWing fighter isnt complete R2D2. Whether need converters, increase power, fix broken stabilizer, trusty droid, lively beeps squeaks, ultimate copilot. You love badass planes. So we. Lets nerd together.Teaming artificial intelligence AI pilots longer matter science fiction blockbuster movies. On Tuesday, December 15, Air Force successfully flew AI copilot U2 spy plane California: time AI controlled U.S. military system. Read This Why U2 Is Such Badass Plane Completing million training runs prior, flight small step computerized copilot, giant leap computerkind future military operations.The U.S. military historically struggled developing digital capabilities. Its hard believe difficulttocode computers hardtoaccess datamuch AIheld worlds lethal hardware long ago Air Force far, far away.But starting years ago, Air Force took giant leap digital age. Finally cracking code military software, built Pentagons commerciallyinspired development teams, coding clouds, combat internet downed cruise missile blistering machine speeds. But recent AI demo military record books science fiction fans alike. This content imported embedname. You able content format, able information, web site. With sign ARTU, trained Zeroa worldleading program dominates chess, Go, video games prior knowledge rulesto operate U2 spy plane. Though lacking lively beeps squeaks, ARTU surpassed motion picture namesake distinctive feature: mission commander, final decision authority humanmachine team. And given high stakes global AI, surpassing science fiction military norm. A U2 Dragon Lady assigned 9th Reconnaissance Wing takes runway Beale Air Force, California, Dec. 15, 2020. A1C Luis A.RuizVazquez Our demo flew reconnaissance mission simulated missile strike Beale Air Force Base Tuesday. ARTU searched enemy launchers pilot searched threatening aircraft, sharing U2s radar. With pilot override, ARTU final calls devoting radar missile hunting versus selfprotection. Luke Skywalker certainly took orders XWing sidekick Related Story The Entire History XWing The fact ARTU command particular mission completely military embrace AI maintain battlefield decision advantage. Unlike Han Solos nevertellmetheodds snub C3POs asteroid field survival rate approximately 3,720 1, warfighters need know odds dizzyinglycomplex combat scenarios. Teaming trusted AI facets conflicteven occasionally putting chargecould tip odds favor. Our Favorite Hobby RC Planes Hobby RC Planes Adults RC UMX Turbo Timber Eflite 109.99 Buy Now RC Plane VOLANTEXRC 129.99 Buy Now RC P51 Mustang VOLANTEXRC 129.99 Buy Now RC Plane FUNTECH 110.99 89.99 19 Buy Now But trust AI, software design key. Like breaker box code, U2 gave ARTU complete radar control switching access subsystems. Had scenario navigating asteroid fieldor likely field enemy radarsthose onoff switches adjust. The design allows operators choose AI wont accept operational risk will. Creating software breaker boxinstead Pandorashas Air Force journey parsecs. Dr. Jeannine Abira, U2 Federal Labratory Director Advanced Mathamatics Algorithim Development left Dr. Jesse Angle, U2 Federal Laboratory Technical Director right, work Sep. 21, 2020 Beale Air Force Base, California. The U2 Federal Laboratory 15 U.S.C. compliant organization promotes edge development concept develop new software integration operational systems. A1C Luis A.RuizVazquez U.S. Air Force Gen. Mark Kelly, right, commander Air Combat Command, U.S. Air Force Command Chief Master Sgt. David Wade, Air Combat Command, receive brief U2 Federal Laboratory staff organizations standup recent projects, Dec. 4, 2020, Beale Air Force Base, California. U.S. Air Force photo Staff Sgt. Colville McFee The journey began early 2018, I approved hoodiewearing Air Force team fittingly named Kessel Run Star Wars smuggling route smuggle commercial DevSecOps software practices Air Operations Center. By merging development, security, operations modern information technology, DevSecOps produced higherquality code faster continuously. Sounds perfect digitallychallenged Pentagon, right? Related Story This Is How Algorithms Will Evolve Themselves Youd think. Kessel Run bent rules definitely shot Pentagons fixation fiveyear development plans crippling baselines. As Han Solo advocated, keeping momentum required good blaster side. Thankfully, Kessel Runs results gamechanging, outpacing previous programs inspiring generation Air Force Space Force DevSecOps teams, including U2 FedLab. Given high stakes global AI, surpassing science fiction military norm. But coding effectively element trusted AI design. A year later, I directed Servicewide adoption coding clouds landmark technologies containerization Kubernetes. Containers virtualize isolate code needs run Kubernetes orchestrate, selectively powering disparate software like dynamicbutsecure breaker box. U.S. Air Force Maj. Vudu, U2 Dragon Lady pilot 9th Reconnaissance Wing, enters cockpit 9th Physiological Support Airman assists Beale Air Force, California, Dec. 15, 2020. A1C Luis A.RuizVazquez Running ARTU containers FedLab cloud proved run identically U2no lengthy safety interference checks required This evolving softwareespecially AIout clouds safely planes flying them.Yet trusted design didnt create ARTUs copilot abilities. You train that. Like digital Yoda, smallbutmighty U2 FedLab trained Zeros gaming algorithms operate radarreconstructing learn good reconnaissance enemies dark U2s lostall interacting pilot. Running million training simulations digital Dagobah, ARTU missionready month. More Badass Planes The FA18 Hornet The B52 Stratofortress The C130 Hercules So recent U2 AI pathfinderand military AI generallywas threeyear journey softwaresavvy Air Force. But skip computerized copilots wingmen create purely autonomous Force? After all, DARPAs recent dogfight, developing autonomous minifighters Skyborg program. That autonomous future happen eventually. But todays AI easily fooled adversary tactics, precisely future warfare throw it. U.S. Air Force Maj. Vudu, U2 Dragon Lady pilot 9th Reconnaissance Wing, prepares taxi returning training sortie Beale Air Force, California, Dec. 15, 2020. A1C Luis A.RuizVazquez Like board video games, human pilots try outperformingDARPAs AI obeying rules dogfighting simulation, rules AI algorithmically learned mastered. The loss wakeup new digital trickery outfox machine learning principles themselves. Even R2D2 confused terminals harmful power socketsAs complete generation AI, work algorithmic stealth countermeasures defeat it. Though likely invisible human pilots radar beams jammer strobes, theyll need similar instincts themas fly firstgeneration AIas invent next. Algorithmic warfare begun.Now master hyperdrives, too.Watch Next: This content created maintained party, imported help users provide email addresses. You able information similar content Advertisement Continue Reading Below More From Military Aviation Japans Next Fighter Have VR, Microwave Weapons F35s Run Booze, Margarine, Grass Clippings Advertisement Continue Reading Below B52s Fly Over Middle East Deter Iran Thieves Break Into Russias Doomsday Plane Chinas New Bomber Cant Be This PowerfulCan It? Chuck Yeagers Career 8 Badass Planes Air Force Really Wants Kill A10 Warthog In 1935, U.S. Army Bombed Live Volcano SU57 Vs. J20: A Closer Look Americas New Jet Pop Mech Pro U.S. Navy Plane Locates Missing Mariners Military Aviation Military The Air Force Uses Teslas Chase U2 U2 Spy Plane Infiltrates Chinas NoFly Zone Chasing U2 Spy PlaneIn Pontiac GTO The Sad Fate Spy Plane The U2 Spy Plane Is Cold War Hero First All Electric Plane Flies 15 Minutes PM_Logo Newsletter Media Kit Press Room Us Community Guidelines Advertise Online Customer Service Other Hearst Subscriptions Give Gift Events Promotions Giveaways Being Green BestProducts A Part Hearst Digital Media Popular Mechanics participates affiliate marketing programs, means paid commissions editorially chosen products purchased links retailer sites. 2020 Hearst Magazine Media, . . Privacy NoticeNotice Collection Your California Privacy Rights InterestBased Ads Terms Use Site Map Do Not Sell My Personal Information | 2,020 | [
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https://murphyshockeylaw.net/space/204629/global-ai-in-auto-insurance-market-expected-to-reach-highest-cagr-by-2026-ant-financial-services-group-co-ltd-ccc-information-services-inc-claim-genius-inc-clearcover-inc-microsoft-corporati/ | 2020-12-04T00:00:00 | en | Global AI in Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services Inc., Claim Genius Inc., Clearcover Inc., Microsoft Corporation etc. – Murphy's Hockey Law |
Global AI in Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services Inc., Claim Genius Inc., Clearcover Inc., Microsoft Corporation etc. – Murphy's Hockey Law
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Global AI in Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services Inc., Claim Genius Inc., Clearcover Inc., Microsoft Corporation etc.
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anita_adroit
Global AI in Auto Insurance Market: Introduction
A new research has been conducted across Global AI in Auto Insurance Market encompassing diverse regional developments, market vendors at the fore, to include both qualitative as well as quantitative information, suggestive of market developments and alterations identified across historical and current timelines to initiate accurate forecasts and predictions, in tandem with futuristic opportunities and growth probabilities.
Besides including decisive details hovering over vendor activities, company profiles, and investments, this report also meticulously various market players holding significant stance and unbeatable position despite cut-throat competition and steep alterations in the growth triggers and market conditions. The report therefore aims to encourage high growth and revenue amplification for businesses having concrete survival inclination.
Key Market Player Analysis: Global AI in Auto Insurance Market:
Ant Financial Services Group Co.?Ltd.CCC Information Services Inc.Claim Genius Inc.Clearcover Inc.Microsoft CorporationGEICOICICI Lombard General Insurance Company LimitedNauto Inc.Liberty MutualThe Progressive Corporation
Market players in global AI in Auto Insurance market are aggressively analyzing business models, comprising various factors such as product portfolios, novel growth steering R&D expeditions, capital investments , production and consumption discretion as well as M&A based on which established vendors as well as novice entrants are contemplating major alterations in the company objectives, aligning with current requirements. Notable players in global AI in Auto Insurance market are moving in decisively to ensure novel growth strategies to harness maximum revenue cycles with stability to improve preparedness aligning with steep market alterations, such as the ongoing COVID-19 aftermath that has challenged stability across industries and verticals.
Regional Overview: Global AI in Auto Insurance MarketA thorough evaluation and assessment study of growth prospects through the forecast spam, 2020-26 has also been significantly included in this report. Proceeding beyond regional scope, country specific analysis with prime identification of production and consumption channels, logistics, investor preferences besides vendor activities have been discussed at length in this report, committed to encourage vendor specific business decisions, eying steady and strong foothold in the competition spectrum.
The report includes a dedicated section on market segmentation with veritable references on product type, usability, as well as end-use applications and versatility that collectively instigate optimistic growth scenario in global AI in Auto Insurance market.
Access Complete Report @ https://www.orbisresearch.com/reports/index/global-ai-in-auto-insurance-market-size-status-and-forecast-2020-2026?utm_source=puja
Segment-based Assessment: Global AI in Auto Insurance MarketThis high end, research report comprises of immersive data pertaining to various projections and assessment based on high end research following primary and secondary research approaches. Details highlighted in the report have been compiled from multifarious data sources such as corporate websites, international journals, corporate blogs and whitepapers, besides engaging in detailed interactive sessions with industry personnel to obtain real time understanding of market developments. Research initiatives reveal that global AI in Auto Insurance market is diversified into prominent segments comprising segmentation by type and applications.
• Segmentation by Type:
Claims AssessmentChatbotsPolicy PricingOther
• Segmentation by Application:
Passenger CarCommercial Vehicles
The key regions covered in the AI in Auto Insurance market report are:North America (U.S., Canada, Mexico)South America (Cuba, Brazil, Argentina, and many others.)Europe (Germany, U.K., France, Italy, Russia, Spain, etc.)Asia (China, India, Russia, and many other Asian nations.)Pacific region (Indonesia, Japan, and many other Pacific nations.)Middle East & Africa (Saudi Arabia, South Africa, and many others.)
The following is a versatile analysis of all the prominent reader queries addressed in the report. Based on these unique references, market players looking out for seamless market penetration can well design and implement high revenue generation business strategies. The report highlights market size and dimensions along with growth rate references feasible through the forecast span Key market growth initiators and factors influencing growth Prominent vendors, stakeholders as well as their growth favoring business activities A crucial trend analysis and Porters five forces description Novel growth opportunities and avenues steering systematic growth decisions in global AI in Auto Insurance market.
Scope of the ReportThe discussed AI in Auto Insurance market has been valued at xx million US dollars in 2020 and is further projected to grow at xx million US dollars through the forecast span till 2026, growing at a CAGR of xx% through the forecast period.
Place Inquiry for Buying or Customization of [email protected] https://www.orbisresearch.com/contacts/enquiry-before-buying/4581094?utm_source=puja
Key Report Offerings: The report is a thoroughly dependable resource guide to understand dynamic market segments operational in the market, as well as their subsequent growth rendering potential. A close review of various growth kindling and limiting factors maneuvering growth The report makes substantial forecast predictions for 5-7 years growth likelihood and associated developments The report proceeds with unraveling crucial market specific information in the realms of competition intensity and dynamics besides identifying major players
(*If you have any special requirements, please let us know and we will offer you the report as you want.)
About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.
Contact Us:Hector 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 AI in Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services Inc., Claim Genius Inc., Clearcover Inc., Microsoft Corporation etc. | Global AI Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services ., Claim Genius ., Clearcover ., Microsoft Corporation etc. Murphys Hockey Law Skip content December 4, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeSpaceGlobal AI Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services ., Claim Genius ., Clearcover ., Microsoft Corporation etc. Space Global AI Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services ., Claim Genius ., Clearcover ., Microsoft Corporation etc. 4 min read 1 second ago anita_adroit Global AI Auto Insurance Market: Introduction A new research conducted Global AI Auto Insurance Market encompassing diverse regional developments, market vendors fore, include qualitative quantitative information, suggestive market developments alterations identified historical current timelines initiate accurate forecasts predictions, tandem futuristic opportunities growth probabilities. Besides including decisive details hovering vendor activities, company profiles, investments, report meticulously market players holding significant stance unbeatable position despite cutthroat competition steep alterations growth triggers market conditions. The report aims encourage high growth revenue amplification businesses concrete survival inclination. Key Market Player Analysis: Global AI Auto Insurance Market: Ant Financial Services Group Co.?Ltd.CCC Information Services .Claim Genius .Clearcover .Microsoft CorporationGEICOICICI Lombard General Insurance Company LimitedNauto .Liberty MutualThe Progressive Corporation Market players global AI Auto Insurance market aggressively analyzing business models, comprising factors product portfolios, novel growth steering RD expeditions, capital investments , production consumption discretion MA based established vendors novice entrants contemplating major alterations company objectives, aligning current requirements. Notable players global AI Auto Insurance market moving decisively ensure novel growth strategies harness maximum revenue cycles stability improve preparedness aligning steep market alterations, ongoing COVID19 aftermath challenged stability industries verticals. Regional Overview: Global AI Auto Insurance MarketA thorough evaluation assessment study growth prospects forecast spam, 202026 significantly included report. Proceeding regional scope, country specific analysis prime identification production consumption channels, logistics, investor preferences vendor activities discussed length report, committed encourage vendor specific business decisions, eying steady strong foothold competition spectrum. The report includes dedicated section market segmentation veritable references product type, usability, enduse applications versatility collectively instigate optimistic growth scenario global AI Auto Insurance market. Access Complete Report @ Segmentbased Assessment: Global AI Auto Insurance MarketThis high end, research report comprises immersive data pertaining projections assessment based high end research following primary secondary research approaches. Details highlighted report compiled multifarious data sources corporate websites, international journals, corporate blogs whitepapers, engaging detailed interactive sessions industry personnel obtain real time understanding market developments. Research initiatives reveal global AI Auto Insurance market diversified prominent segments comprising segmentation type applications. Segmentation Type: Claims AssessmentChatbotsPolicy PricingOther Segmentation Application: Passenger CarCommercial Vehicles The key regions covered AI Auto Insurance market report are:North America U.S., Canada, MexicoSouth America Cuba, Brazil, Argentina, others.Europe Germany, U.K., France, Italy, Russia, Spain, etc.Asia China, India, Russia, Asian nations.Pacific region Indonesia, Japan, Pacific nations.Middle East Africa Saudi Arabia, South Africa, others. The following versatile analysis prominent reader queries addressed report. Based unique references, market players looking seamless market penetration design implement high revenue generation business strategies. The report highlights market size dimensions growth rate references feasible forecast span Key market growth initiators factors influencing growth Prominent vendors, stakeholders growth favoring business activities A crucial trend analysis Porters forces description Novel growth opportunities avenues steering systematic growth decisions global AI Auto Insurance market. Scope ReportThe discussed AI Auto Insurance market valued xx million US dollars 2020 projected grow xx million US dollars forecast span till 2026, growing CAGR xx forecast period. Place Inquiry Buying Customization [emailprotected] Key Report Offerings: The report thoroughly dependable resource guide understand dynamic market segments operational market, subsequent growth rendering potential. A close review growth kindling limiting factors maneuvering growth The report makes substantial forecast predictions 57 years growth likelihood associated developments The report proceeds unraveling crucial market specific information realms competition intensity dynamics identifying major players If special requirements, let know offer report want. :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 CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Continue Reading Previous Global Disability Insurance Market Expected To Reach Highest CAGR By 2026: Allianz, Assicurazioni Generali, China Life Insurance, MetLife, PingAn etc. More Stories 4 min read Global Disability Insurance Market Expected To Reach Highest CAGR By 2026: Allianz, Assicurazioni Generali, China Life Insurance, MetLife, PingAn etc. 30 seconds ago anita_adroit 3 min read All News Energy News Space Water And Wastewater Treatment Technologies Market Size 2020: Booming Upcoming Years Due To Global Demand BusinessOpportunities 2026 Indepth Analysis Industry Players 46 seconds ago nehal 4 min read All News Energy News Space Topical Pain Management Therapeutics Market,Top key players @ Pfizer, GlaxoSmithKline, Endo Pharmaceuticals, Johnson Johnson Services 47 seconds ago aaryan for: Recent Posts Global AI Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services ., Claim Genius ., Clearcover ., Microsoft Corporation etc. Sterile XRay Detectable Lap Sponges Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2026 COVID19 Analysis Understand Competitive Outlook Bronze Dental Flasks Market Global Vision Insurance Market Expected To Reach Highest CAGR By 2026: Aflac, USAA, AARP, MetLife, Medical Mutual Ohio etc. Impact Covid 19 On Multivitamin Mineral Supplements Market 2020 Industry Challenges Business Overview And Forecast Research Study 2026 You missed 4 min read Space Global AI Auto Insurance Market Expected To Reach Highest CAGR By 2026: Ant Financial Services Group Co.?Ltd., CCC Information Services ., Claim Genius ., Clearcover ., Microsoft Corporation etc. 1 second ago anita_adroit 4 min read News Sterile XRay Detectable Lap Sponges Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2026 4 seconds ago vasudeo 4 min read All News News COVID19 Analysis Understand Competitive Outlook Bronze Dental Flasks Market 5 seconds ago bob 4 min read All News Global Vision Insurance Market Expected To Reach Highest CAGR By 2026: Aflac, USAA, AARP, MetLife, Medical Mutual Ohio etc. 8 seconds ago anita_adroit All News Energy News Space . 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https://canaanmountainherald.com/uncategorized/112904/artificial-intelligence-in-accounting-market-by-top-manufacturers-with-production-price-revenue-value-and-market-share-to-2026-kore-ai-google-appzen-oneup-uipath-botkeeper-microsoft-xero/ | 2020-12-02T00:00:00 | en | Artificial Intelligence in Accounting Market by Top Manufacturers with Production, Price, Revenue (value) and Market Share to 2026 – Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna – Canaan Mountain Herald |
Artificial Intelligence in Accounting Market by Top Manufacturers with Production, Price, Revenue (value) and Market Share to 2026 – Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna – Canaan Mountain Herald
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Artificial Intelligence in Accounting Market by Top Manufacturers with Production, Price, Revenue (value) and Market Share to 2026 – Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna
By[email protected]
Dec 2, 2020
Artificial Intelligence in Accounting, Artificial Intelligence in Accounting Forecast, Artificial Intelligence in Accounting Industry, Artificial Intelligence in Accounting Market, Artificial Intelligence in Accounting Opportunities, Artificial Intelligence in Accounting Outlook, Artificial Intelligence in Accounting Price, Artificial Intelligence in Accounting Research Companies, Artificial Intelligence in Accounting Sample 2020, Artificial Intelligence in Accounting Segmentation, Artificial Intelligence in Accounting Share, Artificial Intelligence in Accounting Status, Artificial Intelligence in Accounting Trend, COVID-19
COVID-19 Impact on Global Artificial Intelligence in Accounting Market Professional Survey Research Report 2020-2027
The global Artificial Intelligence in Accounting market report examines the market position and viewpoint of the market worldwide, from various angles, such as from the key player’s point, geological regions, types of product and application. This Artificial Intelligence in Accounting report highlights the key driving factors, constraint, opportunities, challenges in the competitive market. It also offers thorough Artificial Intelligence in Accounting analysis on the market stake, classification, and revenue projection. The Artificial Intelligence in Accounting market report delivers market status from the reader’s point of view, providing certain market stats and business intuitions. The global Artificial Intelligence in Accounting industry includes historical and futuristic data related to the industry. It also includes company information of each market player, capacity, profit, Artificial Intelligence in Accounting product information, price, and so on.
The latest Artificial Intelligence in Accounting market report published by Reports and Markets offers a competency-based analysis and global market estimate, developed using evaluable methods, to provide a clear view of current and expected growth patterns. The report also contains market analysis by geographic location across the globe as well as major markets.
Click Here To Access The Sample Artificial Intelligence in Accounting Market Report
Key Players
This report provides information on the key players in theArtificial Intelligence in Accounting market, the report covers various vendors in the market along with the strategies used by them to grow in the market. The report discusses the strategies used by key players to have an edge over their counterparts, build a unique business portfolio, and expand their market size in the global market. This analysis would help the companies entering the Artificial Intelligence in Accounting market to find out the growth opportunities in the market.
The key manufacturers covered in this report are @ Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna, OSP, IBM, PwC, Sage, SMACC, Intuit, AWS, KPMG, Bill.com, Deloitte, Vic.ai, and EY
Our new sample is updated which correspond in new report showing Post impact of COVID-19 on Industry
The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios.
Overview
The global report on the Artificial Intelligence in Accounting market provides a brief overview of the industry with an analysis of the various factors that impact the industry. Using analysis of data collected from industry experts, key players and research from analysts, the report provides an in-depth study of the Artificial Intelligence in Accounting industry. This report covers the global market with prominent industry trends, analysis of key players, regional analysis and challenges prevalent in the market. This analysis has been used to create a detailed forecast with the historical analysis of data from base year 2018 to the prediction year of 2027.
Segmentation
The given report has been segmented on the basis of various aspects and critical factors that affect the Artificial Intelligence in Accounting market. The segmentation helps to understand the research as per the various geographies, purpose, applications and other parameters that help provide an in-depth analysis of the market with foresight into the future predictions up to the period of 20xx. The report is also segmented as per regional analysis and factors that play a significant role in key regions while the overall report focuses on the global factors.
Buy Full Copy Global Artificial Intelligence in Accounting Report 2020-2026 @
Regional Description
For understanding the impact of the Artificial Intelligence in Accounting market on global and particular regions, the report analyzes key players and trends to understand the market potential. The report breaks global impacts with the aim to access potential growth and overall market size while the regional report covers impacts in regions such as North America, Latin America, Asia Pacific, Europe, Middle East, Africa, and Asia. The study also analyses the trends in these regions with particular focus on upcoming companies, outlook and prospects for the period 2027.
customized specific regional and country-wise analysis of the key geographical regions as follows:
North America
Europe
Asia Pacific Counter
Middle East & Africa
Latin America
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)
Crucial points encompassed in the report:
In the end, Artificial Intelligence in Accounting Market Report delivers a conclusion that includes Breakdown and Data Triangulation, Consumer Needs/Customer Preference Change, Research Findings, Market Size Estimation, Data Source. These factors will increase the business overall.
Major queries related Global Artificial Intelligence in Accounting Market with covid-19 effect resolves in the report:
1. How market players are performing in this covid-19 event?
2. How the pricing of essential raw material and related market affects Artificial Intelligence in Accounting market.
3. Is covid-19 pandemic already affected on projected region or what will be the maximum impact of covid-19 in region?
4. What will be the CAGR growth of the Artificial Intelligence in Accounting market during the forecast period?
5. In 2026 what will be the estimated value of Artificial Intelligence in Accounting market?
TABLE OF CONTENT
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
13 Market Forecast 2020-2027
14 Analysts Viewpoints/Conclusions
15 Appendix
About Author:
Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. This helps in understanding the market players and the growth forecast of the products and so the company. This is where market research companies come into the picture. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world.
Contact Us:
Sanjay Jain
Manager – Partner Relations & International
https://www.reportsandmarkets.com/
Ph: +1-352-353-0818 (US)
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| Artificial Intelligence in Accounting Market by Top Manufacturers with Production, Price, Revenue (value) and Market Share to 2026 | Artificial Intelligence Accounting Market Top Manufacturers Production, Price, Revenue value Market Share 2026 Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna Canaan Mountain Herald Skip content Wed. Dec 2nd, 2020 Canaan Mountain Herald All News Energy News Space All News Energy News Artificial Intelligence Accounting Market Top Manufacturers Production, Price, Revenue value Market Share 2026 Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna By[emailprotected] Dec 2, 2020 Artificial Intelligence Accounting, Artificial Intelligence AccountingForecast, Artificial Intelligence AccountingIndustry, Artificial Intelligence AccountingMarket, Artificial Intelligence AccountingOpportunities, Artificial Intelligence AccountingOutlook, Artificial Intelligence AccountingPrice, Artificial Intelligence AccountingResearch Companies, Artificial Intelligence AccountingSample 2020, Artificial Intelligence AccountingSegmentation, Artificial Intelligence AccountingShare, Artificial Intelligence AccountingStatus, Artificial Intelligence AccountingTrend, COVID19 COVID19 Impact Global Artificial Intelligence AccountingMarket Professional Survey Research Report 20202027 The global Artificial Intelligence Accountingmarket report examines market position viewpoint market worldwide, angles, key players point, geological regions, types product application. This Artificial Intelligence Accountingreport highlights key driving factors, constraint, opportunities, challenges competitive market. It offers thorough Artificial Intelligence Accountinganalysis market stake, classification, revenue projection. The Artificial Intelligence Accountingmarket report delivers market status readers point view, providing certain market stats business intuitions. The global Artificial Intelligence Accountingindustry includes historical futuristic data related industry. It includes company information market player, capacity, profit, Artificial Intelligence Accountingproduct information, price, on. The latestArtificial Intelligence Accountingmarket report published Reports Markets offers competencybased analysis global market estimate, developed evaluable methods, provide clear view current expected growth patterns. The report contains market analysis geographic location globe major markets. Click Here To Access The Sample Artificial Intelligence AccountingMarket Report Key Players This report provides information key players theArtificial Intelligence Accountingmarket, report covers vendors market strategies grow market. The report discusses strategies key players edge counterparts, build unique business portfolio, expand market size global market. This analysis help companies entering Artificial Intelligence Accountingmarket growth opportunities market. The key manufacturers covered report @Kore.ai, Google, AppZen, OneUp, UiPath, Botkeeper, Microsoft, Xero, MindBridge Analytics, YayPay, Hyper Anna, OSP, IBM, PwC, Sage, SMACC, Intuit, AWS, KPMG, , Deloitte, Vic.ai, EY Our new sample updated correspond new report showingPostimpact COVID19 Industry The report inspects financial standing leading companies, includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, financial ratios. Overview The global report Artificial Intelligence Accountingmarket provides brief overview industry analysis factors impact industry. Using analysis data collected industry experts, key players research analysts, report provides indepth study Artificial Intelligence Accountingindustry. This report covers global market prominent industry trends, analysis key players, regional analysis challenges prevalent market. This analysis create detailed forecast historical analysis data base year 2018to prediction year 2027. Segmentation The given report segmented basis aspects critical factors affect Artificial Intelligence Accountingmarket. The segmentation helps understand research geographies, purpose, applications parameters help provide indepth analysis market foresight future predictions period 20xx. The report segmented regional analysis factors play significant role key regions overall report focuses global factors. Buy Full Copy Global Artificial Intelligence AccountingReport 20202026 @ Regional Description For understanding impact Artificial Intelligence Accountingmarket global particular regions, report analyzes key players trends understand market potential. The report breaks global impacts aim access potential growth overall market size regional report covers impacts regions North America, Latin America, Asia Pacific, Europe, Middle East, Africa, Asia. The study analyses trends regions particular focus upcoming companies, outlook prospects period 2027. customized specific regional countrywise analysis key geographical regions follows: North America Europe Asia Pacific Counter Middle East Africa Latin America 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 Crucial points encompassed report: In end, Artificial Intelligence AccountingMarket Report delivers conclusion includes Breakdown Data Triangulation, Consumer NeedsCustomer Preference Change, Research Findings, Market Size Estimation, Data Source. These factors increase business overall. Major queries related Global Artificial Intelligence AccountingMarket covid19 effect resolves report: 1. How market players performing covid19 event? 2. How pricing essential raw material related market affects Artificial Intelligence Accountingmarket. 3. Is covid19 pandemic affected projected region maximum impact covid19 region? 4. What CAGR growth Artificial Intelligence Accountingmarket forecast period? 5. In 2026 estimated value Artificial Intelligence Accountingmarket? TABLE OF CONTENT 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application 5 United States 6 Europe 7 China 8 Japan 9 Southeast Asia 10 India 11 Central South America 12 International Players Profiles 13 Market Forecast 20202027 14 Analysts ViewpointsConclusions 15 Appendix About Author: Market research new buzzword market, helps understanding market potential product market. This helps understanding market players growth forecast products company. This market research companies come picture. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Ph: 13523530818 US Post navigation Impact Of COVID19 On Mobility Service Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 Global System Integrator Industrial Automation Market 2020 Analysis Latest COVID19CORONA Virus Impact Market Positioning Key Vendors: ABB Switzerland, Siemens Germany, Rockwell US, General Electric US, Cameron US, etc. InForGrowth By [emailprotected] Related Post Produce Wash Market 2020 Research Report Growth, Share, Industry Size, Revenue Forecast 2024 Absolute Report Dec 2, 2020 sambit All News Latest News 2020: Tools ERP Software Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Stampli, Winshuttle, Insightsoftware, Frappe, RFSMART, etc. InForGrowth Dec 2, 2020 basavraj.t All News Overactive Bladder Treatment Market 2020 Research Report Size, Share, Trends, Growth Drivers, Challenges Forecast 2024 Absolute Report Dec 2, 2020 sambit Recent Posts Latest News 2020: Tools ERP Software Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Stampli, Winshuttle, Insightsoftware, Frappe, RFSMART, etc. InForGrowth Produce Wash Market 2020 Research Report Growth, Share, Industry Size, Revenue Forecast 2024 Absolute Report Overactive Bladder Treatment Market 2020 Research Report Size, Share, Trends, Growth Drivers, Challenges Forecast 2024 Absolute Report Impact Of Covid 19 On Electronic Tuner Industry 2020 Market Challenges, Business Overview And Forecast Research Study 2026 3D Concrete Printings Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 You missed All News Latest News 2020: Tools ERP Software Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Analysis Top Players: Stampli, Winshuttle, Insightsoftware, Frappe, RFSMART, etc. InForGrowth Dec 2, 2020 basavraj.t Produce Wash Market 2020 Research Report Growth, Share, Industry Size, Revenue Forecast 2024 Absolute Report Dec 2, 2020 sambit All News Overactive Bladder Treatment Market 2020 Research Report Size, Share, Trends, Growth Drivers, Challenges Forecast 2024 Absolute Report Dec 2, 2020 sambit Impact Of Covid 19 On Electronic Tuner Industry 2020 Market Challenges, Business Overview And Forecast Research Study 2026 Dec 2, 2020 Jennifer.grey Canaan Mountain Herald Proudly powered WordPress Theme: Newsup Themeansar. 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https://www.eurekalert.org/pub_releases/2020-06/uoj--mlp060920.php | 2020-06-09T00:00:00 | en | Machine learning predicts nanoparticles' structure and dynamics | EurekAlert! Science News |
Machine learning predicts nanoparticles' structure and dynamics | EurekAlert! Science News
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News Release 9-Jun-2020
Machine learning predicts nanoparticles' structure and dynamics
University of Jyväskylä - Jyväskylän yliopisto
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IMAGE: Nanostructures such as these thiol-covered gold nanoparticles can now be studied by using the new machine learning method developed in the University of Jyväskylä. The method can predict the potential...
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Credit: Antti Pihlajamäki/The University of Jyväskylä
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
In 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).
Link to research in The Journal of Physical Chemistry: https://pubs.acs.org/doi/10.1021/acs.jpca.0c01512
Link to research in Nature Communications (2019): https://www.nature.com/articles/s41467-019-12031-w
Further information:
Academy Professor Hannu Häkkinen, The Faculty of Mathematics and Science, [email protected], +358 (0)400 247 973
Professor Tommi Kärkkäinen, The Faculty of Information Technology, [email protected], +358 (0)40 805 4896
Communications Specialist Tanja Heikkinen, [email protected], tel. 358 50 581 8351
The Faculty of Mathematics and Science:
https://www.jyu.fi/science/en
FB: jyuscience Twitter: jyscience
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More on this News Release
Machine learning predicts nanoparticles' structure and dynamics
University of Jyväskylä - Jyväskylän yliopisto
Journal
Journal of Physical Chemistry A
Funder
Finnish Academy's Artificial Intelligence in Physical Sciences and Engineering Research -programme
Keywords
CHEMISTRY/PHYSICS/MATERIALS SCIENCES
COMPUTER SCIENCE
NANOTECHNOLOGY/MICROMACHINES
Multimedia
A new machine learning method predicts the potential energy of a given structure (IMAGE)
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Original Source
https://www.jyu.fi/en/current/archive/2020/06/machine-learning-predicts-nanoparticles2019-structure-and-dynamics
Related Journal Article
http://dx.doi.org/10.1021/acs.jpca.0c01512
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News Release9Jun2020 Machine learning predicts nanoparticles structure dynamics University Jyvskyl Jyvskyln yliopisto Share Print EMail IMAGE:Nanostructures thiolcovered gold nanoparticles studied new machine learning method developed University Jyvskyl. The method predict potential... view Credit: Antti PihlajamkiThe University Jyvskyl 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 In 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. Link research The Journal Physical Chemistry: Link research Nature Communications 2019: Further information: Academy Professor Hannu Hkkinen, The Faculty Mathematics Science, hannu.j.hakkinen 358 0400 247 973 Professor Tommi Krkkinen, The Faculty Information Technology, tka 358 040 805 4896 Communications Specialist Tanja Heikkinen, tanja.s.heikkinen tel. 358 50 581 8351 The Faculty Mathematics Science: FB: jyuscience Twitter: jyscience Disclaimer: AAAS EurekAlert responsible accuracy news releases posted EurekAlert contributing institutions use information EurekAlert system. Share Print EMail Media Hannu Hkkinen hannu.j.hakkinen 358400247973 More News Release Machine learning predicts nanoparticles structure dynamics University Jyvskyl Jyvskyln yliopisto Journal Journal Physical Chemistry A Funder Finnish Academys Artificial Intelligence Physical Sciences Engineering Research programme Keywords CHEMISTRYPHYSICSMATERIALS SCIENCES COMPUTER SCIENCE NANOTECHNOLOGYMICROMACHINES Multimedia A new machine learning method predicts potential energy given structure IMAGE view Original Source Related Journal Article More Chemistry Physics Magnesium ductility improvement elucidated principles molecular dynamics simulation Shinshu University Machine learning predicts nanoparticles structure dynamics University Jyvskyl Jyvskyln yliopisto Developing better fabrication techniques pHresponsive microcapsules Beckman Institute Advanced Science Technology Study finds reason wash hands: Flame retardants University Toronto View Chemistry Physics Trending News Releases Scientists lament Humpty Dumpty effect worlds spectacular, rare wildlife Colorado State University When cancer cells fat, eat University Toronto Killing coronavirus handheld ultraviolet light device feasible Penn State Artificial brains need sleep DOELos Alamos National Laboratory 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://www.ksnt.com/news/international/eu-proposes-rules-for-artificial-intelligence-to-limit-risks/ | 2020-02-19T00:00:00 | en | EU proposes rules for artificial intelligence to limit risks | KSNT News |
EU proposes rules for artificial intelligence to limit risks | KSNT News
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EU proposes rules for artificial intelligence to limit risks
International
by: KELVIN CHAN, Associated Press
Posted: Feb 19, 2020 / 05:36 AM CST
/ Updated: Feb 19, 2020 / 07:42 AM CST
President of the European Commission Ursula von der Leyen looks at the invention ‘Do you Speak Robot?’ at the AI Xperience Center at the VUB (Vrije Universiteit Brussel) in Brussels, Tuesday, Feb. 18. 2020. (Stephanie Lecocq, Pool Photo via AP)
LONDON (AP) — The European Union unveiled proposalsWednesday to regulate artificial intelligence that call for strict rules and safeguards on risky applications of the rapidly developing technology.
The report is part of the bloc’s wider digital strategy aimed at maintaining its position as the global pacesetter on technological standards.Technology companies seeking to tap Europe’s vast and lucrative market, including those from the U.S. and China, would have to play by any new rules that eventually come into force.
The EU’s executive Commission said it wants to develop a “framework for trustworthy artificial intelligence.” European Commission President Ursula von der Leyen had ordered her top deputies to come up with a coordinated European approach to artificial intelligence and data strategy 100 days after she took office in December.
“We will be particularly careful where essential human rights and interests are at stake,” von der Leyen told reporters in Brussels. “Artificial intelligence must serve people, and therefore artificial intelligence must always comply with people’s rights.”
Clear rules are needed to address “high-risk AI systems” such as those in health, policing or transport, which should be “transparent, traceable and guarantee human oversight,” the EU report said.
Other artificial intelligence systems could come with labels certifying that they are in line with EU standards.
The technology can be used to improve healthcare, making farming more efficient or combat climate change. But it also brings risks such as “opaque decision-making, gender-based or other discrimination, privacy intrusion or being used for criminal purposes, the report said.
Human-centered guidelines for AI are essential because “none of the positive things will be achieved if we distrust the technology,” said Margrethe Vestager, the executive vice president overseeing the EU’s digital strategy.
Under the proposals, which are open for public consultation until May 19, EU authorities want to be able to test and certify the data used by the algorithms that power artificial intelligence in the same way they check cosmetics, cars and toys.
It’s important to use unbiased data to train high-risk artificial intelligence systems so they can avoid discrimination, the commission said.
EU leaders said they also wanted to open a debate on when to allow facial recognition in remote identification systems, which are used to scan crowds to check people’s faces to those on a database. It’s considered the “most intrusive form” of the technology and is prohibited in the EU except in special cases.
___
For all of the AP’s technology coverage: 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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Finally let off cruise, passengers desperate for flight home
by MATT SEDENSKY, Associated Press / Feb 19, 2020
BANGKOK (AP) — The cheers of celebration have faded. The waving of roses has ceased. Having finally reached a friendly port in Cambodia willing to accept them after nearly two weeks of uncertainty at sea, hundreds of cruise ship passengers eyed warily over fears of a new virus are now simply trying to find a way home.
“We’re in this sort of surreal world,” said Lydia Miller, 55, of Orcas Island, Washington, who is camped out at a hotel in the capital, Phnom Penh, waiting for word on how she and her husband might be able to return to the U.S. “It’s a weird feeling to travel and go on a trip and you don’t know when you can come home.”
Read the Full Article
France steps up investigation around Ghosn, Omani dealership
Feb 19, 2020
PARIS (AP) — French prosecutors are turning up the heat on disgraced car industry executive Carlos Ghosn, opening a judicial inquiry into alleged money laundering, fraud and misuse of company assets during his time at the helm of the Renault-Nissan alliance.
The prosecutor's office in the Paris suburb of Nanterre announced the inquiry Wednesday in a statement. The statement does not name Ghosn directly, but the inquiry focuses on activities at Renault and Nissan under his watch, and stemmed from information provided by Japanese authorities and by Renault after Ghosn's 2018 arrest in Japan on charges of financial misconduct.
Read the Full Article
Pope tenderly kissed on forehead by man in front-row seat
Feb 19, 2020
VATICAN CITY (AP) — Well-wishers at Pope Francis' weekly audience have thrust soccer T-shirts, flowers and many a wailing baby into his arms. And on New Year's Eve, one admirer, trying to pull him closer, yanked his arm so hard he slapped her hand to free himself, an angry reaction Francis later famously apologized for.
On Wednesday, Francis seemed to thoroughly enjoy a surprise expression of affection: a long, tender kiss planted on his forehead by a man in one of the front-row seats reserved for ailing or disabled people at the end of his audience.
Read the Full Article
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| EU proposes rules for artificial intelligence to limit risks | EU proposes rules artificial intelligence limit risks KSNT News Skip content KSNT News Topeka 43 Sponsored By Toggle Menu Open Navigation Close Navigation Primary Menu News Local News Kansas National Capitol Bureau Your Local Election HQ Entertainment Cute Kid Black History Month Education 21st Century Health Check Jefferson Awards Someone You Should Know Our News Team Top Stories Moms Demand Action Rally calls Gun Control Video Top Stories New Junction City Police Department Chief strives efficiency engagement Washburn University Spring Career Fair features 130 prospective Employers Video WilliamsLee Connection: KState womens hoops dynamic duo Video Doorstep holding 17th Annual Operation Soup Line Video Weather Interactive Radar WeatherCam Network Closings Delays Current Alerts Weather AppText Alerts Kidcast Sports Local Sports Football Frenzy Full Court Press Emporia State Hornets Kansas Jayhawks Kansas State Wildcats Washburn Ichabods All12 Courtside Topeka Pilots Hockey Kansas City Royals Kansas City Chiefs Japan 2020 Big Race Daytona Top Stories A heavyweight fight big took TV networks Top Stories AP Top 25 Podcast: Next neverending coaching carousel Newman alert, walking hospital crash Daytona WilliamsLee Connection: KState womens hoops dynamic duo Video Redskins exercise 2020 option RB Adrian Peterson Report It Contests Community Local Calendar Photo Galleries Remarkable Women Kansas Lottery Buy Local Visit NOTO Visit Lawrence AdoptAPet Pet Lost Found Daily Pledge Of Allegiance Watch Live Stream Video Center Newsfeed Now KSNT NBC KTKA ABC KTMJ FOX Northeast Kansas CW TV Schedule FOX 43 News FOX 43 News AM LIVE FOX 43 News Cute Pets FOX 43 News Pet Advice FOX 43 News Zoo You Top Stories Moms Demand Action Rally calls Gun Control Video Top Stories Washburn University Spring Career Fair features 130 prospective Employers Video Top Stories Doorstep holding 17th Annual Operation Soup Line Video Topeka Zoo giving tours Kays Garden open house Video Topeka teen transforms church storage room youth group, earns Summit Award Video Topeka West Chargers vs Seaman High Vikings Basketball Video Work For Us Advertise With Us Nexstar Digital DVD Request Text Alerts Mobile Apps Email Updates Do Not Sell My Personal Information Page 2 Advice Book Reviews Comics Daily Horoscope Food Living Movie Reviews Riddle Video EU proposes rules artificial intelligence limit risks International by: KELVIN CHAN, Associated Press Posted: Feb 19, 2020 05:36 AM CST Updated: Feb 19, 2020 07:42 AM CST President European Commission Ursula von der Leyen looks invention Do Speak Robot? AI Xperience Center VUB Vrije Universiteit Brussel Brussels, Tuesday, Feb. 18. 2020. Stephanie Lecocq, Pool Photo AP LONDON AP The European Union unveiled proposalsWednesday regulate artificial intelligence strict rules safeguards risky applications rapidly developing technology. The report blocs wider digital strategy aimed maintaining position global pacesetter technological standards.Technology companies seeking tap Europes vast lucrative market, including U.S. China, play new rules eventually come force. The EUs executive Commission said wants develop framework trustworthy artificial intelligence. European Commission President Ursula von der Leyen ordered deputies come coordinated European approach artificial intelligence data strategy 100 days took office December. We particularly careful essential human rights interests stake, von der Leyen told reporters Brussels. Artificial intelligence serve people, artificial intelligence comply peoples rights. Clear rules needed address highrisk AI systems health, policing transport, transparent, traceable guarantee human oversight, EU report said. Other artificial intelligence systems come labels certifying line EU standards. The technology improve healthcare, making farming efficient combat climate change. But brings risks opaque decisionmaking, genderbased discrimination, privacy intrusion criminal purposes, report said. Humancentered guidelines AI essential positive things achieved distrust technology, said Margrethe Vestager, executive vice president overseeing EUs digital strategy. Under proposals, open public consultation May 19, EU authorities want able test certify data algorithms power artificial intelligence way check cosmetics, cars toys. Its important use unbiased data train highrisk artificial intelligence systems avoid discrimination, commission said. EU leaders said wanted open debate allow facial recognition remote identification systems, scan crowds check peoples faces database. Its considered intrusive form technology prohibited EU special cases. ___ For APs technology coverage: 2020 The Associated Press. . This material published, broadcast, rewritten redistributed. Share story More International Stories Finally let cruise, passengers desperate flight home MATT SEDENSKY, Associated Press Feb 19, 2020 BANGKOK AP The cheers celebration faded. The waving roses ceased. Having finally reached friendly port Cambodia willing accept nearly weeks uncertainty sea, hundreds cruise ship passengers eyed warily fears new virus simply trying way home. Were sort surreal world, said Lydia Miller, 55, Orcas Island, Washington, camped hotel capital, Phnom Penh, waiting word husband able return U.S. Its weird feeling travel trip dont know come home. Read Full Article France steps investigation Ghosn, Omani dealership Feb 19, 2020 PARIS AP French prosecutors turning heat disgraced car industry executive Carlos Ghosn, opening judicial inquiry alleged money laundering, fraud misuse company assets time helm RenaultNissan alliance. The prosecutors office Paris suburb Nanterre announced inquiry Wednesday statement. The statement Ghosn directly, inquiry focuses activities Renault Nissan watch, stemmed information provided Japanese authorities Renault Ghosns 2018 arrest Japan charges financial misconduct. Read Full Article Pope tenderly kissed forehead man frontrow seat Feb 19, 2020 VATICAN CITY AP Wellwishers Pope Francis weekly audience thrust soccer Tshirts, flowers wailing baby arms. And New Years Eve, admirer, trying pull closer, yanked arm hard slapped hand free himself, angry reaction Francis later famously apologized for. On Wednesday, Francis thoroughly enjoy surprise expression affection: long, tender kiss planted forehead man frontrow seats reserved ailing disabled people end audience. Read Full Article Top Stories Moms Demand Action Rally calls Gun Control Video New Junction City Police Department Chief strives efficiency engagement Washburn University Spring Career Fair features 130 prospective Employers Video WilliamsLee Connection: KState womens hoops dynamic duo Video Doorstep holding 17th Annual Operation Soup Line Video Topeka Zoo giving tours Kays Garden open house Video More Stories REMARKABLE WOMEN: Local activist helps despite personal tragedies Video Slightly colder clouds increase patchy light snow late today tonight Video Topeka teen transforms church storage room youth group, earns Summit Award Video Topeka West Chargers vs Seaman High Vikings Basketball Video Read stories Trending Stories Bus drivers need help school Video Weather Interactive Radar Shawnee County sheriff says person dragged car critical condition City Topeka closing demolishing debated NOTO building Video Facebook Twitter YouTube Email News App Weather App Home News Weather Video Center Text Alerts Terms Use EEO Report FCC Public File KSNT FCC Public File KTKA FCC Public File KTMJ Childrens Programming KSNT Childrens Programming KTKA Childrens Programming KTMJ Do Not Sell My Personal Information 1998 2020 Nexstar Broadcasting, . . 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https://www.expresscomputer.in/artificial-intelligence-ai/data-and-ai-may-add-500bn-to-indias-gdp-by-2025-nasscom/62531/ | 2020-08-20T00:00:00 | en | Data and AI may add $500bn to India's GDP by 2025: Nasscom - Express Computer | Data and AI may add $500bn to India's GDP by 2025: Nasscom - Express Computer Express Computer Likes Followers Subscribers Followers Likes Followers Followers Followers Sign in / Join Welcome, Login to your account. Forget password? Remember me Login with your Social ID No account? Sign Up Sign in Recover your password.A password will be e-mailed to you. Wednesday, August 19, 2020HomeDigital IssueAdvertise With UsAbout UsContact UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD & HOSPITALITYEF&H EXPOPrivacy PolicyTechnology and IT Bloggers – Earn Money Express Computer - Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data / AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma & Healthcare TrackEducation TrackRetail, ECommerce & QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperE-book Home » Artificial Intelligence (AI) » Data and AI may add $500bn to India’s GDP by 2025: Nasscom Data and AI may add $500bn to India’s GDP by 2025: NasscomArtificial Intelligence (AI)Big Data / AnalyticsNews By IANS On Aug 19, 2020 0 17 Share Read Article Data and Artificial Intelligence (AI) could add $450-500 billion to the country’s GDP by 2025 and to harness its full potential, India needs to take a coordinated action to enhance data and AI capabilities at scale across all sectors in the country, a new Nasscom report said on Tuesday.In the near term, data and AI could support governments and businesses for effective Covid-19 response and economic recovery.“AI has become a strategic lever for economic growth across nations and will continue to be one of the most crucial technologies of the future. In order to harness its full potential, India needs to embrace AI innovation and regulation with an open, inclusive, principle-based and a collaborative mindset,” Union IT and Law Minister Ravi Shankar Prasad said while virtually launching the report, titled ‘Unlock Value from Data and AI: The Indian Opportunity’.According to the report, if India acts quickly, it can become a leader in building a holistic data utilisation and AI effort, especially as countries emerge from the pandemic and global economic slowdown.“The three key interventions needed to create a vibrant data economy in India include — identify datasets of national importance with each ministry with specific use cases, launch programmes to create a marketplace of data and derived assets and establish a central agency for defining and enforcing data standards,” the report mentioned.Nasscom also announced that it will host “Xperience AI” virtual summit from September 1-4 in partnership with the Telangana AI Mission.“Data and AI’s true potential emerges from its ability to drive transformation across multiple sectors through a diverse range of applications,” said Debjani Ghosh, President, Nasscom.The report highlighted the importance of building an AI innovation ecosystem and seeking greater participation from the private sector and entrepreneurs.“India has the potential to become a global hub for data and AI. The moment is now, to support and grow a vibrant AI ecosystem in India,” said Anant Maheshwari, President, Microsoft India.–IANS If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]Advertisement Artificial IntelligencedataDebjani GhoshNASSCOMRavi Shankar Prasad 0 17 Share Get real time updates directly on you device, subscribe now. Subscribe IANSSubscribe to our newsletterSign up here to get the latest news, updates delivered directly to your inbox.SubscribeYou can unsubscribe at any time Facebook Twitter Youtube Instagram Prev PostAI can speed up MRI scans, shows Facebook studyNext Post How to track productivity of employees working from home You might also like More from author BFSI RBL Bank selects Accenture to accelerate digital journey News Trend Micro brings DevOps agility and automation to security through AWS integration News TCS launches solution to help enterprises return to work within four weeks Data Center Web Werks expands into Pune; launches its 4th data centre Prev Next Leave A Reply Cancel ReplyLogin with your Social IDYour email address will not be published.Save my name, email, and website in this browser for the next time I comment. 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Additionally, we also report on the fast emerging realm of eGovernance in India. Contact [email protected]presscomputeronline.comLinksHomeDigital IssueAdvertise With UsAbout UsContact UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD & HOSPITALITYEF&H EXPOPrivacy PolicyTechnology and IT Bloggers – Earn MoneySIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave this field empty if you're human: HomeDigital IssueAdvertise With UsAbout UsContact UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD & HOSPITALITYEF&H EXPOPrivacy PolicyTechnology and IT Bloggers – Earn Money © The Indian Express Pvt. Ltd. All Rights Reserved.
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| Data and AI may add $500bn to India's GDP by 2025: Nasscom | Data AI add 500bn Indias GDP 2025: Nasscom Express Computer Express Computer Likes Followers rs Followers Likes Followers Followers Followers Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. Wednesday, August 19, 2020HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money Express Computer Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma Healthcare TrackEducation TrackRetail, ECommerce QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperEbook Home Artificial Intelligence AI Data AI add 500bn Indias GDP 2025: Nasscom Data AI add 500bn Indias GDP 2025: NasscomArtificial Intelligence AIBig Data AnalyticsNews By IANS On Aug 19, 2020 0 17 Share Read Article Data Artificial Intelligence AI add 450500 billion countrys GDP 2025 harness potential, India needs coordinated action enhance data AI capabilities scale sectors country, new Nasscom report said Tuesday.In near term, data AI support governments businesses effective Covid19 response economic recovery.AI strategic lever economic growth nations continue crucial technologies future. In order harness potential, India needs embrace AI innovation regulation open, inclusive, principlebased collaborative mindset, Union IT Law Minister Ravi Shankar Prasad said virtually launching report, titled Unlock Value Data AI: The Indian Opportunity.According report, India acts quickly, leader building holistic data utilisation AI effort, especially countries emerge pandemic global economic slowdown.The key interventions needed create vibrant data economy India include identify datasets national importance ministry specific use cases, launch programmes create marketplace data derived assets establish central agency defining enforcing data standards, report mentioned.Nasscom announced host Xperience AI virtual summit September 14 partnership Telangana AI Mission.Data AIs true potential emerges ability drive transformation multiple sectors diverse range applications, said Debjani Ghosh, President, Nasscom.The report highlighted importance building AI innovation ecosystem seeking greater participation private sector entrepreneurs.India potential global hub data AI. The moment now, support grow vibrant AI ecosystem India, said Anant Maheshwari, President, Microsoft India.IANS If interesting article experience case study share, touch [emailprotected]Advertisement Artificial IntelligencedataDebjani GhoshNASSCOMRavi Shankar Prasad 0 17 Share Get real time updates directly device, subscribe now. IANS newsletterSign latest news, updates delivered directly inbox.You unsubscribe time Facebook Twitter Youtube Instagram Prev PostAI speed MRI scans, shows Facebook studyNext Post How track productivity employees working home You like More author BFSI RBL Bank selects Accenture accelerate digital journey News Trend Micro brings DevOps agility automation security AWS integration News TCS launches solution help enterprises return work weeks Data Center Web Werks expands Pune; launches 4th data centre Prev Next Leave A Reply Cancel Reply Social IDYour email address published.Save name, email, website browser time I comment. Digital Transformation Series SIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave field youre human: Stay With Us 8,899 Likes 1,835 Followers Youtube rs RSS Linkedin Followers Instagram Followers Digital Issue April 2020: Driving Excellence Through Digital Initiatives March 2020: Redefining Data Centres Prev Next 1 37Upcoming Events Digital Technology Sabha 25th 28th August 2020 August 25 10:00 August 28 5:00 pm View All EventsAdvertisement Facebook Join Facebook Linkedin Follow Twitter Join Twitter Instagram Join Instagram Express Computer Indias respected IT media brands publication 24 years running. We cover enterprise technology flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives help companies ICT investments. Additionally, report fast emerging realm eGovernance India. [emailprotected]presscomputeronline.comLinksHomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn MoneySIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave field youre human: HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money The Indian Express Pvt. Ltd. . Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. | 2,020 | [
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https://www.techradar.com/uk/news/ibm-publishes-wide-ranging-free-data-sets-to-assist-ai-developers | 2020-05-27T00:00:00 | en | IBM publishes wide-ranging free data sets to assist AI developers | TechRadar |
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IBM publishes wide-ranging free data sets to assist AI developers
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Jitendra Soni
27 May 2020
Three new Watson Studio projects included in major boost for developers
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IBM has published a number of notebooks, datasets and more resources from IBM Research on their Data Asset eXchange (DAX) for developers to use free of cost.DAX is an online hub with curated, free data sets that AI developers and data scientists can use under open data licenses. The resources on DAX take the form of open-source code, security and compliance information, specialist learning tools and even expert support.Among the recent additions are three Watson Studio projects. IBM Watson Studio is an enterprise-focused AI developer tool which helps data scientists and researchers to build models and prepare data at scale across any cloud. IBM, HP announce major job cutsIBM CEO: 'Every company will become an AI company'IBM: Transition to cloud now ‘an existential question’Data Asset eXchangeThe new Watson Studio projects are:The DAX Weather Project: utilises the NOAA Weather—JFK Airport datasetThe DAX Fashion—MNIST Project: harnesses the Fashion—MNIST datasetThe DAX Groningen Meaning Bank Project: uses the DAX GMB datasetThe three projects use the named datasets along with multiple notebooks, demonstrating how to extract, analyse and model the given data, which the user can easily migrate to Watson Studio.Other additions to DAX include IBM Project Debater datasets, document analysis and extraction datasets (PubTabNet and PubLayNet), Video-Text compliance dataset for video action comprehension, and exploratory data analysis notebooks to better understand the newly-added datasets.These are the best cloud hosting services in 2020
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| IBM publishes wide-ranging free data sets to assist AI developers | IBM publishes wideranging free data sets assist AI developers 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 Best Cloud Storage Best Printer Mobile Industry TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News IBM publishes wideranging free data sets assist AI developers By Jitendra Soni 27 May 2020 Three new Watson Studio projects included major boost developers Shares Image credit: Shutterstock carlos castilla IBM published number notebooks, datasets resources IBM Research Data Asset eXchange DAX developers use free cost.DAX online hub curated, free data sets AI developers data scientists use open data licenses. The resources DAX form opensource code, security compliance information, specialist learning tools expert support.Among recent additions Watson Studio projects. IBM Watson Studio enterprisefocused AI developer tool helps data scientists researchers build models prepare data scale cloud.IBM, HP announce major job cutsIBM CEO: Every company AI companyIBM: Transition cloud existential questionData Asset eXchangeThe new Watson Studio projects are:The DAX Weather Project: utilises NOAA WeatherJFK Airport datasetThe DAX FashionMNIST Project: harnesses FashionMNIST datasetThe DAX Groningen Meaning Bank Project: uses DAX GMB datasetThe projects use named datasets multiple notebooks, demonstrating extract, analyse model given data, user easily migrate Watson Studio.Other additions DAX include IBM Project Debater datasets, document analysis extraction datasets PubTabNet PubLayNet, VideoText compliance dataset video action comprehension, exploratory data analysis notebooks better understand newlyadded datasets.These best cloud hosting services 2020 See Computing news Tech deals, prizes latest news Get best tech deals, reviews, product advice, competitions, unmissable tech news Thank signing TechRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1 Intel AMD shouldnt panic yet, Chinese vendor repacked Xeon CPU 2 How Apple overear headphones beat Sony WH1000XM3 3 Sony Xperia 1 II price confirmed expensive iPhone 12 4 Sky Q HDR: need know 5 How watch Marvel movies order 1 Linus Torvalds abbandona Intel e sceglie una CPU AMD il suo PC 2 Test solve security conundrums 3 Ecco il portatile migliore del mondo. Ma questa volta non si tratta di Macbook 4 Optoma CinemaX P1 review 5 Looks like Apples planning changes iPad Pros Magic Keyboard TechRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://www.dailymail.co.uk/news/article-9028639/Police-raid-home-Florida-data-scientist-built-states-COVID-dashboard.html | 2020-12-08T00:00:00 | en | Police raid the home of Florida data scientist who built the state's COVID dashboard | Daily Mail Online |
Police raid the home of Florida data scientist who built the state's COVID dashboard | Daily Mail Online
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'They pointed guns at my kids': Moment armed cops raid home of fired Florida health department data scientist suspected of hacking health department website to send message urging staff to speak out on COVID 'before it's too late'Florida Department of Law Enforcement agents conducted a search warrant at Rebekah Jones' home in Tallahassee, FloridaJones shared a 30-second clip of the raid to Twitter and accused Gov. Ron DeSantis of attempting to silence her Jones was fired from the Department of Health in May for 'insubordination' after helping create the state's Covid-19 dashboard She claimed her termination was because she refused to manipulate data Jones has been under investigation since early November when someone illegally accessed the state´s emergency alert health system By Lauren Edmonds For Dailymail.com Published: 20:45 EST, 7 December 2020 | Updated: 21:31 EST, 7 December 2020
e-mail 16 shares 15 View comments Florida police wielding firearms conducted a raid at the home of Rebekah Jones, the health department data scientist who built its Covid-19 dashboard before being fired for insubordination. The Florida Department of Law Enforcement confirmed the early morning search after Jones shared a 30-second of the encounter on Twitter. She has been under investigation since early November when someone illegally accessed the state´s emergency alert health system. 'At 8:30 am this morning, state police came into my house and took all my hardware and tech. They were serving a warrant on my computer after DOH filed a complaint,' she wrote.'They pointed a gun in my face. They pointed guns at my kids.' Agents with the Florida Department of Law Enforcement issued a search warrant at the home of Rebekah Jones (pictured) on Monday in Tallahassee Footage shows Jones pulling open the home's front door to reveal an armed and uniformed FDLE agent. The agent orders her outside before asking who else is in the home. When she responds her husband and children, the agent approaches the staircase and shouts for the husband to come downstairs.'Police! Come down, now! Search warrant,' the agent yells, pointing his firearm towards the staircase. 'When agent tells Jones to calm down, she shouts: 'He just pointed a gun at my children!' At least four FDLE agents were seen in the available footage. Jones said FDLE agents arrived around 8.30am to take 'all [her] hardware and tech' from inside the Tallahassee, Florida, home During the 30-second clip, Jones accusses officers of pointing their firearms at her children while they conducted the search warrant Earlier this year, Jones received national recognition for her work in creating Florida's Covid-19 dashboard while working with the Department of Health.She was fired from her geographic information system manager position for 'insubordination' after being reprimanded several times and making public remarks about the data.But Jones claimed that she was fired for refusing to manipulate Florida's Covid-19 health data to paint a more optimistic picture. Early in the pandemic, Jones wrote blog posts and reached out to media outlets and researchers sowing doubt about the credibility of the data now that she is no longer in that role. The data was crucial as the governor was trying to make highly controversial decisions on whether to reopen Florida's economyState health officials strenuously deny any issue with the information´s accuracy. Jones wrote a July Op-Ed in the Miami Herald the suggested state workers were being dissuaded from speaking out about the state's data collection and response. She has since created her own nationwide Covid-19 dashboard. Jones shared footage of the incident ot her Twitter page on Monday evening She placed blame for the raid on Florida Gov. Ron DeSantis and suggested he was attempting to silence her Jones: 'This is what happens to scientists who do their job honestly. This is what happens to people who speak truth to power' Jones: 'If Desantis thought pointing a gun in my face was a good way to get me to shut up, he's about to learn just how wrong he was''They took my phone and the computer I use every day to post the case numbers in Florida, and school cases for the entire country. They took evidence of corruption at the state level. They claimed it was about a security breach,' wrote on Twitter Monday.Jones placed blame for the search warrant solely on Gov. Ron DeSantis. 'This was DeSantis. He sent the gestapo,' she wrote. 'This is what happens to scientists who do their job honestly. This is what happens to people who speak truth to power. I tell them my husband and my two children are upstairs... and THEN one of them draws his gun. On my children. This is Desantis' Florida.' RELATED ARTICLES Previous 1 Next Medical student, 32, is unmasked as the man who found Forrest Fenn's famed $3M... Coronavirus vaccine: Nurse in Pfizer trial describes 'highest fever' | Daily...
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In her final Tweet, she alleged that the raid was conducted as a way to silence her.'If Desantis thought pointing a gun in my face was a good way to get me to shut up, he's about to learn just how wrong he was,' wrote Jones. 'I'll have a new computer tomorrow. And then I'm going to get back to work.' A FDLE spokesperson told Tampa Bay Times that it issued the search warrant after suspecting Jones of hacking into the health department website and sending an unauthorized message. The message, sent on November 10, was sent to members of the State Emergency Response Team that coordinates public health and medical responses.The message told members to 'speak up before another 17,000 people are dead. You know this is wrong. You don’t have to be a part of this. Be a hero. Speak out before it’s too late.' Florida authorities opened an investigatio into Jones (pictured) for potentially hacking into the health department's website and sending an unauthorized message After being fired, Jones continued to speak out against Florida officials and set up her own Covid-19 dashboardJones denied being involved and told reporters that she didn't know 'how to do that stuff.'An FDLE spokesperson addressed the search warrant in a statement to Tallahassee Democrat Monday evening.'FDLE began an investigation November 10, 2020, after receiving a complaint from the Department of Health regarding unauthorized access to a Department of Health messaging system which is part of an emergency alert system, to be used for emergencies only.'Ms. Jones refused to come to the door for 20 minutes and hung-up on agents. After several attempts and verbal notifications that law enforcement officers were there to serve a legal search warrant, Ms. Jones eventually came to the door and allowed agents to enter. Ms. Jones' family was upstairs when agents made entry into the home. 'As in all cases, our role is to determine the facts of what happened and a State Attorney determines whether or not charges are filed.'DailyMail.com has reached out to the Florida Department of Law Enforcement for details.
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Victoria Silvstedt, 46, reclines on the beach wearing a frilly white bikini and a sunhat in St Barts
The socialite enjoyed a relaxing beach day
Vanessa Hudgens pays homage to some of Hollywood's most iconic movie moments in SIX outfits to host the 2020 MTV Movie & TV Awards
'It hurts!' Catherine Zeta-Jones suffers a Christmas decorating injury as an IRON ROD sculpture lands on her foot
Ouch!
Top Boy star Ashley Walters becomes a grandfather at 38 as he reveals one of his EIGHT children has welcomed a baby girl in sweet post
Katy Perry reveals Ariana Grande has gifted her daughter Daisy Dove, 3 months, a $655 Givenchy snowsuit
Showed off the present, and accompanying note
Kate's Christmas cheer! Duchess of Cambridge brings a smile to children's faces as she and Prince William arrange for schoolchildren to meet reindeer
Rita Ora, 30, reveals she has frozen her eggs TWICE and admits she 'doesn't know' if she's found love with new boyfriend Romain Gavras
Rob Kardashian's ex
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Megan Thee Stallion highlights her curves in yellow PJs as she performs a celebratory twerk in honour of onesie season
Loving life
Sofia Carson gives more than a hint of her legs while stunning in strapless black sequin gown at MTV Movie & TV Awards
Striking
Aubrey Plaza reveals Kristen Stewart got COVID-19 while filming on the set of Happiest Season
As COVID-19 cases soar all across the country
Duchess of Cambridge meets pensioner, 85, she struck up a friendship with during lockdown phone calls as he reveals she sent him a pasta machine and he calls her 'love'
Emily Ratajkowski showcases her bump in a black vest as she goes Christmas tree shopping with husband Sebastian Bear McClard
Victoria Beckham wears bold $2,000 red dress and contrasting $600 hot pink heels from her own collection as she visits her store
Sports Illustrated's 'Sportsperson of the Year' is awarded to five athletes, including LeBron James, Patrick Mahomes and Naomi Osaka, for their 'social justice' activism
Victoria Beckham shares video of herself getting a micro-needling facial with a vitamin cocktail to reduce wrinkles and acne scarring
'My life partner!' Brooklyn Beckham shares artsy black and white selfie with fiancée Nicola Peltz
Victoria and David's son, 21, recently got engaged
Inside the exclusive Mexican golf club where Pia Miller and her Hollywood super agent fiancé Patrick Whitesell are celebrating their engagement - with a hefty $45M price tag
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Jennifer Lopez redefines blue Christmas in cozy chic sweats and J Balvin Air Jordans... while promoting her collab with Stevie Mackey
Viola Davis praises the late Chadwick Boseman for his work in Ma Rainey's Black Bottom... the actor's final role before his tragic death
The Croods: A New Age tops mild box office again with $4.4 million
Sequel has been dominating the subdued moviegoing business
Sir Elton John and David Furnish's sons Zachary, 9, and Elijah, 7, send letters to Santa as they get into the festive spirit
Sweet
Shawn Mendes talks about collaborating with Justin Bieber... and says he doesn't believe the Holy singer once had no idea who he was
Delightful duo
Real Housewives Of Atlanta: Porsha Williams peacefully protests in Kentucky over Breonna Taylor killing and gets arrested on season premiere
Jesy Nelson is pictured for the first time since announcing her 'extended break' from Little Mix
'Lucky I haven't got a f*** ton to do before Christmas!' Lily Allen is forced to isolate one of her daughters after her classmate contracts coronavirus
Lucy Hale looks effortlessly chic in a red coat and grey jeans as she runs errands with her dog Elvis
The Pretty Little Liars actress, 31, took a break
Floyd Mayweather to take on YouTube boxer Logan Paul in a 'super exhibition fight' in February as 'Money' returns to the ring for the first time in three years
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Mariah Carey's All I Want for Christmas Is You reaches number 1 in the UK chart for the FIRST TIME 26 years after its release
It was no.1 in US for the first time in 2019
Ashley Roberts catches the eye in a muted ensemble and $1,875 Louis Vuitton bag as she leaves Heart FM studios
Pussycat Dolls star
Holly Dolly Christmas: Dolly Parton performs holiday special from intimate set amid COVID-19 pandemic
The 74-year-old national treasure performed
Chess sets are the new must-have Christmas gift: LEE BOYCE on the game's sudden surge in popularity thanks to TV show The Queen's Gambit
Prince Charles thanks developers of Covid-19 vaccines and says people can 'look forward with renewed hope' as he and Camilla mark 800th anniversary of Salisbury Cathedral
Madeleine's mini-mes! Swedish Princess shares adorable snap of her children wearing matching tartan outfits as she lights Advent candle to mark start of Christmas
Happy birthday, your royal highness! Princess Sofia of Sweden looks elegant in white for new portrait as she's seen for the first time since her Covid-19 diagnosis
'The virus stays with you for quite a while': Prince Albert of Monaco, 62, reveals he suffered from fatigue for months after only a 'mild' case of COVID-19
Dubai prince balances on a ledge on top of the 2,717ft Burj Khalifa - the tallest building in the world - in vertigo-inducing footage
Megan Barton Hanson claims Scott Disick didn't write THAT DM slamming her behavior on Love Island - and hints it was her ex Eyal Booker
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Kate Mara says her family's ownership of the New York Giants and Pittsburgh Steelers makes for 'stressful' Sundays
NBA bans players and coaches from bars, nightclubs, casinos, and even restaurants in new COVID-19 protocols for the upcoming season - and teams could lose draft picks for violations
Meghan King is longing for someone as she and kids settle into new St. Louis home ... following her recent split with businessman Christian Schauf
Pia Mia dares to bare her incredible figure wearing a TINY thong bikini while on holiday in Miami
Star put on a sizzling display on the beach
Taylor Swift responds to Dionne Warwick after the legend said to keep her 'head high' during a continued series of celebrity Twitter exchanges
Meghan Markle and Prince Harry will launch their own awards rivaling the Queen's gongs to honor significant contributions in the couple's favorite fields
Today show host Bobbie Thomas' husband Michael dies aged 42 - one year after suffering a stroke
'My husband is gone,'star shared online
'Tis the season! Ivanka looks loved-up as she recycles $2,750 silver and crimson Markarian dress for tour of Melania's 'dazzling' White House Christmas decorations with Jared
Well we was just 15... you know what I mean! Rare picture of The Beatles as baby-faced teenagers in 1958 is unearthed by Paul McCartney's brother and unveiled in book
Ellen DeGeneres 'to be neighbors with Meghan Markle and Prince Harry after snapping up $49million mansion in California's exclusive Montecito area'
SNL's Pete Davidson blasts Staten Island bar owner and his supporters as 'babies' for protesting COVID-19 dining restrictions - but adds he is glad he's no longer 'the worst thing about the borough'
Gwyneth Paltrow puts a chic spin on the holidays in quarantine as she models some stunning winter looks from Goop's partnership with Gucci
'Has the virus disappeared already?' Rita Ora's mother Vera SLAMS people breaking COVID-19 rules - days after daughter flouted lockdown TWICE
Adam Sandler and Drew Barrymore tease FOURTH movie at 2020 MTV Movie & TV Awards: Greatest of All Time as they win GOAT Dynamic Duo
Sarah Michelle Gellar and Selma Blair safely recreate THAT infamously steamy Cruel Intentions kiss with COVID-19 precautions as they lead honorees at MTV Movie & TV Awards
Jess Glynne looks every inch the vixen as she dons striking scarlet wig and busty thigh-split gown for sizzling snaps
Sizzling
Chrissy Teigen talks about 'remembering joy' as she enters a new 'transformative' period in her life following her 35th birthday
Sia dons trademark large wig and quirky dress with snaps of dogs all over it as she leads performances at MTV Movie & TV Awards
Bizarre
Sabrina Carpenter dares to bare in one-sleeve mesh dress over black underwear at 2020 MTV Movie & TV Awards
The Disney Channel alum, 21, looked great
French chef Jacques Pépin's wife Gloria dies at 83 leaving him 'overcome with grief' at the loss of his 'strong, resilient' partner of 54 years
Courteney Cox shares behind-the-scenes video of her Thanksgiving recreation of iconic Friends scene where she danced with a raw turkey on her head
Gal Gadot shows off her super strength by toppling a speeding truck in the new teaser for Wonder Woman 1984
Kristen Bell exudes holiday spirit in a green velour sweatsuit and a Santa hat while running errands in Los Angeles
Euphoria special: Rue spends her Christmas Eve in a diner with Ali reflecting over her mistakes while teasing suicidal tendencies
Inside Zac Efron's epic body transformation - after he was spotted flaunting his HUGE biceps while filming his latest movie in Australia
The Flash star Danielle Panabaker lists contemporary four-bed four-bath Hollywood Hills home for $2M
The actress bought the property in 2016
Robert Downey Jr. and Don Cheadle pay tribute to late Black Panther star Chadwick Boseman as 'Hero for the Ages' at 2020 MTV Movie & TV Awards
Neve Campbell shimmers in gold dress as she poses on the red carpet at 2020 MTV Movie & TV Awards
Lily Collins looks fierce in a black latex dress as she arrives at the MTV Movie & TV Awards to present Heartbreaking Breakup
Kourtney Kardashian gushes that her eight-daughter Penelope and niece North West, seven, are already 'so much cooler' than her and sister Kim
Chelsea Handler looks lovely in lacy black dress as she roasts Kevin Hart while presenting at MTV GOAT Awards
Cardi B faces Twitter backlash for considering buying an $88K purse... which leads to the rapper clapping back and a donating spree
Chris Hemsworth goes shirtless while showcasing his boxing skills and ripped physique during a training session
Maddie Ziegler cuts a chic figure in a black leather pantsuit at MTV Movie & TV Awards: Greatest Of All Time
Chrissy Teigen gets candid with family Christmas card shoot as she shares hilarious outtake of son Miles' meltdown
S Club 7's Hannah Spearritt reveals she's welcomed a second daughter called Tora after a secret pregnancy
Primeval star
Jenna Dewan posts pretty snap and shares she celebrated 'perfect' 40th birthday at home during pandemic
A perfect match: Russell Crowe, 56, fuels up with a coffee as he enjoys his weekly tennis game with rumoured girlfriend Britney Theriot, 30
Lily James is set to make her first big appearance since the Dominic West scandal at a charity concert often attended by the actor and his wife'
Liam and Noel Gallagher 'pocket $7.3million from Oasis back catalog' despite not releasing a song together in more than a decade
'There was a contract out to KILL me!' Robbie Williams details the scary side of fame while discussing anti-anxiety medication and his struggle with depression
Nicole Kidman's American accent in the thriller The Undoing is hilariously parodied in Saturday Night Live skit
Inside Hollywood's BIGGEST wedding of 2021: Australian model Pia Miller and multi-millionaire talent agent Patrick Whitesell are 'sparing no expense' for their nuptials
LA Dodgers shortstop Corey Seager marries Madisyn Van Ham at 'COVID-safe' ceremony in Tennessee
Star hired a nurse to screen their friends and family at wedding
Teyana Taylor clarifies her remarks about retirement and says she feels shunned by her label G.O.O.D Music/Def Jam
Shawn Mendes' father Manuel is already calling Camila Cabello his 'daughter-in-law'
The pair plan on spending the holidays in the basement of his parents' Ontario home
Lord Alan Sugar 'wants The Apprentice UK to relocate to Australia in 2021 as life is back to normal there after coronavirus and there's lots contestants could do'
It's whistlestop William and Kate! Duke and Duchess of Cambridge head off for royal train tour around Britain to thank coronavirus pandemic heroes
Vanessa Hudgens and Lily Collins go bold in rivaling black dresses as they lead stars on the red carpet at the 2020 MTV Movie & TV Awards
Shay Mitchell teases her taut tummy in chic caramel ensemble as she picks up her laundry in LA... after celebrating daughter Atlas' first birthday
Gwen Stefani and Blake are 'both ready to get married' as Gwen shares new snaps to promote upcoming single Let Me Reintroduce Myself
Pete Davidson pokes fun at Eminem's Stan music video with a Christmas-themed Saturday Night Live parody featuring a cameo from the rapper
Larsa Pippen receives backlash for sharing cryptic prayer post directed at 'anyone dealing with heartache'... as Malik Beasley's wife 'files for divorce' following hand holding scandal
Cobra Kai's Peyton List is wild in tiger print sleeveless dress on red carpet at MTV GOAT Awards
Peyton, 22, stepped out in a pair of black sandal heels
Matthew Perry used to 'guilt trip' his pregnant ex into 'scoring his crack, heroin, coke and pills - because cops would never pull her over
'I was in so much shock': Sienna Miller reveals she can't remember the six weeks following her split from ex-fiancé Jude Law after his cheating scandal
Ryan Gallagher's manager denies The Voice contestant broke coronavirus rules after he's removed from show amid alleged breach of 'strict COVID protocols'
Bachelor alum Lauren Bushnell and hubby Chris Lane joyfully announce they're expecting their first child
Selena Gomez delves into the making of her chart-topping album Rare: 'I believed in myself and believed in what I was doing'
Kristin Cavallari showcases her toned bikini body by the pool on a lavish Mexico getaway...eight months after filing for divorce from Jay Cutler
Jax Taylor and pregnant wife Brittany Cartwright grab a few snacks while pictured out for the first time since being fired from Vanderpump Rules
TikTok star claims Isla Fisher told her boyfriend 'he should be an actor' during chance encounter with actress and her husband Sasha Baron Cohen in a Sydney cafe
Now that's a Space Oddity! Royal Mint launches coins celebrating David Bowie by sending one of them into orbit... and now you could win it in social media contest
Barefoot and fancy free! Elsa Pataky, 44, shows off her natural beauty as she steps out without makeup for a stroll with her children
The Undoing's Matilda de Angelis says she struggled with anorexia as a teenager as she sought a 'desire for attention'
Queen's head housekeeper of 32 years QUITS after revolt where staff 'refused to lock themselves in a Covid-19 bubble for Christmas'
Jaime King looks happy as she grabs dinner and hits a tattoo parlor with a male pal in LA... amid bitter custody battle with her ex Kyle Newman
Simon Pegg joins Instagram with a hilarious diss track featuring Mission Impossible co-star Pom Klementieff as she jokingly hits out at her fellow Marvel cast
Duchess of Cambridge's brother James Middleton reveals Christmas trip with sister Pippa was 'turning point' in depression battle
Jon Hamm's girlfriend Anna Osceola pays homage to his St. Louis roots with a Cardinals T-shirt while the couple enjoy a walk in Los Angeles
'I'm drooling over your legs!': Khloe Kardashian praises English actress for her 'envy worthy' physique after she said she 'hated' her legs
Cruel Intentions duo Sarah Michelle Gellar and Selma Blair recreate their kiss for MTV's GOAT Awards special
Meghan Markle's BFF Jessica Mulroney says she and 'girlfriend just laughed so hard it hurts' during FaceTime call - after revealing royal 'constantly' uses app to 'check on' her
Kylie Jenner shows off her hourglass curves in a skintight 'snow leopard' ensemble as she enjoys luxe trip to Lake Tahoe
First Lady of fashion! Melania Trump looks sensational in $6,200 red leather Alexander McQueen coat as she joins the President at rally in Georgia
Emily Ratajkowski cradles her pregnant belly while picking up a Christmas tree with husband Sebastian Bear-McClard in Los Angeles
Rita Ora's mum Vera Sahatçiu, 56, cuts a stern figure as she leaves the singer's home... after she was caught flouting lockdown with her 30th birthday restaurant bash
Matthew Perry, 51, has new fiancée Molly Hurwitz, 29, model a Friends-inspired t-shirt with iconic Chandler Bing catchphrase for COVID-19 relief charity
Paula Patton masks up and sports orange sweats to grocery shop in Los Angeles on her 45th birthday
Star was sure to wear a mask amid new lockdown
Kylie Jenner flashes her perfect pout in the golden light before a Christmas adventure in Los Angeles with daughter Stormi
Megan Thee Stallion sends temperatures soaring in a red lace bra and thong as she straddles a fur covered chaise lounger for latest Savage X Fenty campaign
Rebel Wilson shows off her incredible 60lb weight loss in skin tight red pants and sports a face mask while ice skating with a pal in New York City
Embroiderer of Kate Middleton and Meghan Markles' wedding gowns says she has 'no money' and fears being made homeless amid Covid-19 crisis
Gillian Anderson's sex therapist character displays her baby bump as she films Sex Education series three alongside Mikael Persbrandt
Elle Fanning hilariously recreates a childhood throwback with crazy morning hair: 'Still wake up like this'
Star still looked less than pleased to start her day
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DON'T MISS
Ryan Dorsey decorates Christmas tree with son Josey... as Naya Rivera tribute raises over $74K
The 37-year-old wished fans a happy holiday
Jennifer Lopez goes makeup free as she cuddles by the fire with Max and Emme, 12: 'I love that they still want to sit on mama's lap!'
Shawn Mendes and Camila Cabello release surprise Christmas duet to support hunger relief and pledge a $100K donation to Feeding America
SNL lampoons a gassy Rudy Giuliani's election fraud lawsuits with his 'drunk' witness Mellissa Carone boasting about signing 'after Davids'
Jeremy Renner and Hailee Steinfeld sport bruised makeup as they shoot Christmas scenes for their upcoming Disney+ series Hawkeye in New York
Nicole Scherzinger, 42, puts on a VERY busty display in plunging sequinned blazer as she dazzles for The Masked Singer
Kate Moss was 'so starstruck' when she met Frank Sinatra 25 years ago she FAINTED... after the crooner kissed her on the LIPS
'Literally just my parents and me': Rita Ora claimed to be celebrating her 30th quietly in interview before star was caught throwing lockdown-flouting birthday bash
'I changed so my daughter wouldn't be like I was': Geri Horner says motherhood healed her relationship with food after past bulimia battle
Heidi Klum looks festive in a bright red beanie and scarf as she plants a kiss on husband Tom Kaulitz in sweet online clip
Bachelor in Paradise alum Krystal Nielson confesses 'it was scary' to find out she was pregnant while still legally married to ex Chris Randone
RHOC star Braunwyn Windham-Burke is seen for the first time since coming out as a lesbian as she enjoys dinner with her costars
Pregnant Paloma Faith wows as she poses in a red avant garde gown for glam Attitude shoot... as star jokes she's a 'gay man in a woman's body'
Chrissy Teigen wears all-black as she goes supermarket shopping with her mother Vilailuck... amid recovery from heartbreaking baby loss
Angelina Jolie puts on a chic display in a pair of black leather boots as she stops by a party supply store with son Knox Léon to stock up on wrapping paper
Black Panther star Letitia Wright deletes ALL her social media accounts following backlash for sharing COVID anti-vaxx video
Cardi B displays her stunning curves in a see-through dress and thong bodysuit as she shares series of sultry snaps
Chantel Jeffries puffs on a suspicious-looking cigarette as she shows off her physique in a tiny tie-dye bikini during beach trip with beau Drew Taggart
Brian Austin Green said he got his 'self-worth' from his estranged wife Megan Fox in a podcast recorded after their secret separation earlier this year
Kylie Jenner stuns in head-to-toe Dior as she poses with her 'snow baby' Stormi, two, on their Tahoe getaway
Kylie looked every inch the snow bunny as she rocked a chic jacket
William and Kate 'are taking it upon themselves to keep public's spirit up' with UK tour amid lockdown, royal expert claims
'My married head says, ''don't do this!''' Paul McCartney jokes about having 'sexual' dreams as he discusses finding music inspiration from his visions
Isla Fisher looks sensational in a blue retro designer ensemble as she promotes Christmas comedy Godmothered
Sixties star Pamela Tiffin, who played opposite James Cagney and Paul Newman before becoming a Playboy centerfold, dies at 78
Caprice, 49, teases her taut midriff in a glamorous off-the-shoulder scarlet jumpsuit as she enjoys a night out in London
Jude Law reveals how he navigates his life in the spotlight and says he doesn't 'dwell too much' on his public image
James Corden admits he was worried his hosting role on The Late, Late Show would END his acting career
Star will be seen in Netflix musical film The Prom
All aboard the Kate and Wills Express! Cambridges hop on Royal Train with single beds and a Formica dining table as they begin three-day tour of Britain to thank frontline pandemic workers
Dionne Warwick asks Chance The Rapper to explain why he chose to put 'rapper' in his stage name... sparking hilarious Twitter exchange
Saturday Night Live: Country star Morgan Wallen relives being uninvited from show over breaking COVID-19 safety procedures... as he returns with Jason Bateman hosting
Real Housewives of Atlanta's Kenya Moore describes 'disaster' date with Kanye West as she recalls him watching 'explicit' content
Ana de Armas goes on a walk with friends after moving into Ben Affleck's $20M Pacific Palisades mansion and putting her Venice home on the market
Inside the Kardashian winter getaway: Family shelled out $6K a night for Lake Tahoe cabin with 17 bedrooms, indoor pool and movie theater
Does Lady Louise Windsor look like her great great grandmother Queen Mary? Royal fans go wild for the teenager's uncanny resemblance to monarch from 1910
Miley Cyrus reveals she's been staying sexually satisfied throughout the pandemic thanks to 'FaceTime sex': 'It's the safest'
Nikki Bella and fiance Artem Chigvintsev discuss how they would co-parent son Matteo in the event of a split... as they commemorate first Christmas with a family photoshoot
Viewers say watching The Crown has IMPROVED their opinion of the Royal Family - despite critics slamming the hit Netflix drama as 'fiction'
Kate Hudson dresses daughter Rani Rose to the nines for Christmas as she shares cute photo of toddler in festive holiday blazer and onesie
Cardi B shows her support for 'sooo talented' Teyana Taylor after she announced retirement from music: 'I hate that she feels how she feels'
Gwyneth Paltrow and husband Brad Falchuk don matching camouflage pants for Los Angeles hike
They just returned from the East Coast
Stereophonics star Kelly Jones reveals how much he's learned from his transgender son, 15, as he admits: 'I don't know anyone else who has gone through this'
Halsey shows some cleavage in sizzling hot pink lingerie as she reveals her new rainbow ombre hair color... after calling out Grammy Awards over snub
Laverne & Shirley star David Lander dies at 73 after a decades-long battle with multiple sclerosis
Actor was famous for his role of 'Squiggy' on the classic 70s TV series
Idris Elba, 48, flaunts his bulging biceps and muscular chest in a red Nike singlet as he eats an ice cream during a stroll in Sydney
Vinnie Jones reveals he 'has a little chat' with late wife Tanya every morning to 'tell her how much I miss her'... after losing her to cancer 18 months ago
'I'm gonna regret this': Olivia Newton-John's daughter Chloe Lattanzi shares bizarre anti-vaxxer rant about COVID-19 conspiracy theories
Kyle Richards speaks out about her COVID-19 diagnosis as she and her daughter Sophia isolate from their family: 'I can't wait to hug them'
Josh Brolin's wife Kathryn happily shows off her baby bump during a workout at a gym... just days before her due date
Matthew McConaughey and Russell Brand blast 'illiberal far left' who 'condescend and patronize' conservatives who voted for Trump
Katie Lee responds to Instagram user who criticized how much she 'holds' her three-month-old daughter Iris: 'Mom shame, much?'
Kourtney Kardashian accentuates her refined curves in a bright green one piece as she skateboards poolside... following lavish Lake Tahoe trip with her sisters and mom
Jennifer Garner reacts to Peppermint becoming number one movie on Netflix... more than two years after lukewarm response at the box office
Lili Reinhart and Riverdale costars KJ Apa and Cole Sprouse are seen out separately during a break from shooting in Vancouver
Courteney Cox puts health first as she rocks a cloth face mask to run errands in Los Angeles... after recreating THAT iconic Thanksgiving scene from Friends
Selena star Christian Serratos reveals why she doesn't sing in new series that has quickly shot to number one on Netflix
Vanessa Hudgens keeps it preppy in purple sweats as she takes home the cutest Christmas tree with best friend GG Magree
Kate Moss the enigma: Former Vogue editor ALEXANDRA SHULMAN offers a unique insight into the supermodel she first helped make famous
Inside the Sydney apartment building transformed into a luxurious Parisian abode for a glamorous Dior television ad starring Natalie Portman
Kristen Wiig reveals her role in Wonder Woman 1984 was inspired by the groundbreaking careers of female action stars Linda Hamilton and Sigourney Weaver during the eighties
Eiza Gonzalez looks cute in a pink heart-adorned sweatsuit as she picks up a coffee in Los Angeles
Earlier this week, she revealed her extensive food allergies
'I still get the chills': Awkwafina proudly reflects on making history at the Golden Globes and admits she owes her successes to actress Lucy Liu in new interview with Vogue Australia
Malin Akerman makes a pit-stop at a convenience store in San Bernardino as she enjoys a road trip with her sister
The 42-year-old actress appeared in high spirits
Bella Hadid puts on a cheeky display in some VERY revealing tights in BTS throwbacks from last year's Paris Fashion Week
Victoria Monet announces she's pregnant with her first child: 'I've been promoted to the title just above Queen...Mom'
Chuck Wicks welcomes baby boy Tucker with wife Kasi the SAME DAY he drops new single Old With You
'Kasi and I are beside ourselves,' the 41-year-old gushed
L.A.X-odus! Why stars like Isla Fisher, Sacha Baron Cohen, Natalie Portman and Zac Efron are fleeing corona-stricken US for a better life in Australia
Kylie Jenner's 'stalker' is chased out of the home of neighbor DeMar DeRozan after the NBA star finds the intruder near his children's bedroom
Rebel Wilson highlights her incredible 60-pound weight loss in a fitted ski onesie as she enjoys a snow trip in Austria to top off her 'year of health'
Roald Dahl's family apologises for his antisemitism 37 years after he referred to a 'trait in Jewish character that provokes animosity'
'I hate myself': Robbie Williams admits he doesn't believe he's 'any good' and thinks his insecurities date back to his time in Take That
Heidi Klum, 47, says her lookalike daughter Leni, 16, is interested in modeling after being kept out of the 'public eye': 'She is old enough now'
TALK OF THE TOWN: Nicole's got BMX appeal! Kidman reveals the secret behind her 14-year marriage to husband Keith Urban
Shia LaBeouf takes a brisk morning jog sans face mask amid the renewed stay-at-home order in Los Angeles county
Chris Pratt goes for a bike ride with eight-year-old son Jack in an American flag sweatshirt after being dubbed a 'clown' on Twitter
Now HBO show mocks Prince George in 'cruel and unfair' cartoon portraying him as a spoilt brat - following row over Netflix's depiction of the royals in The Crown
Larsa Pippen slips into a skintight red mini dress for dinner out in Miami amid Malik Beasley drama
Star stepped out for dinner with a pal
Singer MAX and his wife Emily Cannon welcome a baby girl named Edie: 'She came into the world with her eyes wide open, ready for adventure'
Netflix says no to screen disclaimer before each The Crown episode as bosses claim viewers know royal drama is a 'work of fiction based on historical events'
Vanessa Bryant wishes daughter Bianka a happy 4th birthday as she celebrates for first time without Kobe: 'You bring so much sunshine'
Tom Brady and Gisele Bundchen wish their eldest daughter Vivian Lake a happy eighth birthday: 'You are the sweetest'
Kate Moss and her mini-me daughter Lila Grace, 18, head to Mayfair club Oswald's as lockdown ends
The supermodels were in matching black tops and jackets.
TALK OF THE TOWN: Duchess of Cornwall to lead star-studded virtual carol concert hosted by Fiona Bruce
Saint turns 5! Kim Kardashian showers her eldest son with love on his birthday as she shares snaps from Tahoe getaway: 'One of my life's soul mates'
Lori Loughlin's daughter Olivia Jade Giannulli goes shopping in LA while her parents serve out jail sentences for college admissions scandal
Jennifer Garner hilariously recreates a sexy pool scene from her breakout spy series Alias to celebrate 10million Instagram followers
'This is MAGA country, you dumb pandering f**k!' Kate Beckinsale brands Trump-supporting troll 'a cutie' in goading post after receiving expletive-laden stream of abuse
Blending in! Prince Harry is 'mistaken for a Christmas tree SALESMAN by a little boy in a parking lot holiday store' while he and Meghan were shopping for decor
Shakira bares her taut midriff in 1980s style workout gear as she joins the Black Eyed Peas in a music video for Girl Like Me
Inside Pia Miller's fairytale new life with with multi-millionaire fiancé Patrick Whitesell: From living in his lavish mansions to partying with A-listers at exclusive soirées
Amber Rose leaves little to the imagination in a TINY black sheer bodysuit as she shares sizzling snap to promote her OnlyFans
'He's spoken to NASA about it': Tom Cruise eyes becoming first Hollywood star to film in SPACE for final movies in the Mission: Impossible franchise
The Hills star Whitney Port keeps it comfy and casual in a brown tracksuit while picking up coffee in Los Angeles
John Lennon's last interview: How Beatles star shared his feelings about Paul McCartney, homesickness and dreams for the future with a British radio host
Selena Quintanilla's widowed husband Chris Perez reminisces about the Latin music icon as he comments on new Netflix series: 'I loved her music even before I joined the band'
Mary-Kate Olsen dons a chic all-black outfit and purse while stepping out in chilly New York City one day after dining with her twin sister Ashley
Marvel star Letitia Wright LIKES tweets calling for her to be recast and Black Panther sequel to be cancelled as she's slammed for anti-vaxx video
Jessica Alba dons holiday colors as she goes shopping at Hollywood's new Target and picks up a large product from her OWN Honest company
The name's Craig... Danny Craig! Future James Bond star is pictured aged 16 in a tuxedo with a glamorous redhead who is now a supply teacher
Bad Girls Club star Whitney Collings dies aged 33 as her mother mourns her loss: 'I am completely broken'
Jeremih returns home from hospital after near-death COVID-19 battle that put him in ICU and hooked up to ventilator: 'I would like to thank God'
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| Police raid the home of Florida data scientist who built the state's COVID dashboard | Police raid home Florida data scientist built states COVID dashboard Daily Mail Online Home U.K. News Sports U.S. Showbiz Australia Femail Health Science Money Video Travel Shop DailyMailTV Latest Headlines Covid19 Royal Family Crime Boris Johnson Prince Harry World News Headlines Most read Games My Profile Logout Feedback Monday, Dec 7th 2020 10PM 33F 1AM 31F 5Day Forecast Advertisement ad Trump glares grandchildren Dan Gable Oval Office awards Medal Freedom legendary wrestler They pointed guns kids: Moment armed cops raid home fired Florida health department data scientist suspected hacking health department website send message urging staff speak COVID late The 10 nutrients body needs fight infection: A healthy immune important. Now, new book leading scientist reveals prescription staying fighting fit Pfizer Moderna SNUB Trumps White House vaccine summit Tuesday accused holding good news election Trumps officials TURNED DOWN summer offer doses Pfizers breakthrough vaccine shots 50 million extra supplies JUNE Fauci warns Christmas challenge Thanksgiving COVID surging outofcontrol California goes lockdown Rhode Island Americas worst hotspot Hundreds black vultures invade Pennsylvania town spew vomit smells like rotting corpses sidewalks homes causing thousands dollars damage REVEALED: Medical student, 32, unmasked man Forrest Fenns 3M buried treasure chest lawsuit filed claiming hacked emails texts locate chest Wyoming MSNBC appoints Rashida Jones president making FIRST black woman run major cable news network Trump considers holding Florida rallyto announce 2024 run EXACT moment Joe Biden sworn January 21, 2021 Ilhan Omars husband received 635k Covid19 bailout money consulting firm despite congresswoman paying company staggering 2.25M year Breakdancing skateboarding included new Olympic sports introduced Paris 2024 Burning Manstyle Art Me festival Tulum blamed 70 positive COVID tests NYC private clinic hundreds sick hipsters spread virus far wide Donald Trump willing COVID vaccine live TV, White House official reveals need hes survived Dr Fauci warns coronavirus shots WEEKS lower COVID19 death rates US Surgeon General begs Americans hold little longer vaccines coming Nurse Pfizer vaccine trial worried COVID19 developing highest fever life 105F says wrong message going viral doctors dont warn scary effects Rudy Giulianis witness Mellissa Carone ordered quarantine positive diagnosis Trump claims hospitalized attorney CDCs smartphone tool track Americans receive coronavirus jabs vulnerable hackers antivaxxers filing false reports safety shots, health officials claim More like Beavis ButtHead: Gov. Cuomo mocked comparing Dr Fauci Godfather actors Al Pacino Robert De Niro Cuomo says hell close indoor dining NYC hospitalization rate doesnt stabilize days hell close hospitals reach capacity COVID relief package falters AGAIN bipartisan group Congress trying come compromise delay deal National Restaurant Association says restaurants America 110,000 closed, destroying 3.2m jobs 37 surviving eateries theyll shut months dont help Public transit safer Oval Office amid pandemic, claim researchers city buses trains NOT drive spread respiratory viruses like flu decade Kraken lawyer Sidney Powells election fraud cases thrown Michigan Georgia: Detroit federal judge slams trying undermine democracy ignore millions Previous Next They pointed guns kids: Moment armed cops raid home fired Florida health department data scientist suspected hacking health department website send message urging staff speak COVID lateFlorida Department Law Enforcement agents conducted search warrant Rebekah Jones home Tallahassee, FloridaJones shared 30second clip raid Twitter accused Gov. Ron DeSantis attempting silence herJones fired Department Health May insubordination helping create states Covid19 dashboardShe claimed termination refused manipulate dataJones investigation early November illegally accessed states emergency alert health By Lauren Edmonds For Published: 20:45 EST, 7 December 2020 Updated: 21:31 EST, 7 December 2020 email 16 shares 15 View comments Florida police wielding firearms conducted raid home Rebekah Jones, health department data scientist built Covid19 dashboard fired insubordination.The Florida Department Law Enforcement confirmed early morning search Jones shared 30second encounter Twitter.She investigation early November illegally accessed states emergency alert health system.At 8:30 morning, state police came house took hardware tech. They serving warrant DOH filed complaint, wrote.They pointed gun face. They pointed guns kids. Agents Florida Department Law Enforcement issued search warrant home Rebekah Jones pictured Monday Tallahassee Footage shows Jones pulling open homes door reveal armed uniformed FDLE agent.The agent orders outside asking home. When responds husband children, agent approaches staircase shouts husband come downstairs.Police Come down, warrant, agent yells, pointing firearm staircase.When agent tells Jones calm down, shouts:He pointed gun childrenAt FDLE agents seen available footage. Jones said FDLE agents arrived 8.30am [her] hardware tech inside Tallahassee, Florida, home During 30second clip, Jones accusses officers pointing firearms children conducted search warrantEarlier year, Jones received national recognition work creating Floridas Covid19 dashboard working Department Health.She fired hergeographic information manager position insubordination beingreprimanded times making public remarks data.But Jones claimed fired refusing manipulate Floridas Covid19 health data paint optimistic picture.Early pandemic, Jones wrote blog posts reached media outlets researchers sowing doubt credibility data longer role. The data crucial governor trying highly controversial decisions reopen Floridas economyState health officials strenuously deny issue informations accuracy. Jones wrote July OpEd Miami Herald suggested state workers dissuaded speaking states data collection response.She created nationwide Covid19 dashboard. Jones shared footage incident ot Twitter Monday evening She placed blame raid Florida Gov. Ron DeSantis suggested attempting silence Jones: This happens scientists job honestly. This happens people speak truth power Jones: If Desantis thought pointing gun face good way shut up, hes learn wrong wasThey took phone I use day post case numbers Florida, school cases entire country. They took evidence corruption state level. They claimed security breach, wrote Twitter Monday.Jones placed blame search warrant solely Gov. Ron DeSantis. This DeSantis. He sent gestapo, wrote.This happens scientists job honestly. This happens people speak truth power. I tell husband children upstairs... THEN draws gun. On children. This Desantis Florida. RELATED ARTICLES Previous 1 Next Medical student, 32, unmasked man Forrest Fenns famed 3M... Coronavirus vaccine: Nurse Pfizer trial describes highest fever Daily... Share article Share In final Tweet, alleged raid conducted way silence her.If Desantis thought pointing gun face good way shut up, hes learn wrong was, wrote Jones.Ill new tomorrow. And Im going work.A FDLE spokesperson told Tampa Bay Times issued search warrant suspecting Jones hacking health department website sending unauthorized message.The message, sent November 10, sent members State Emergency Response Team coordinates public health medical responses.The message told members speak 17,000 people dead. You know wrong. You dont this. Be hero. Speak late. Florida authorities opened investigatio Jones pictured potentially hacking health departments website sending unauthorized message After fired, Jones continued speak Florida officials set Covid19 dashboardJones denied involved told reporters didnt know stuff.An FDLE spokesperson addressed search warrant statement Tallahassee Democrat Monday evening.FDLE began investigation November 10, 2020, receiving complaint Department Health unauthorized access Department Health messaging emergency alert system, emergencies only.Ms. Jones refused come door 20 minutes hungup agents. After attempts verbal notifications law enforcement officers serve legal search warrant, Ms. Jones eventually came door allowed agents enter.Ms. Jones family upstairs agents entry home. As cases, role determine facts happened State Attorney determines charges filed. reached Florida Department Law Enforcement details. Advertisement Read more: Did coronavirus data whistleblower hack Floridas emergency alert system? 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Naya Rivera tribute raises over74K The 37yearold wished fans happy holiday Jennifer Lopez goes makeup free cuddles Max Emme, 12: I love want sit mamas lap Shawn Mendes Camila Cabello release surprise Christmas duet support hunger relief pledge 100K donation Feeding America SNL lampoons gassy Rudy Giulianis election fraud lawsuits drunk witness Mellissa Carone boasting signing Davids Jeremy Renner Hailee Steinfeld sport bruised makeup shoot Christmas scenes upcoming Disney series Hawkeye New York Nicole Scherzinger, 42, puts VERY busty display plunging sequinned blazer dazzles The Masked Singer Kate Moss starstruck met Frank Sinatra 25 years ago FAINTED... crooner kissed LIPS Literally parents me: Rita Ora claimed celebrating 30th quietly interview star caught throwing lockdownflouting birthday bash I changed daughter wouldnt like I was: Geri Horner says motherhood healed relationship food past bulimia battle Heidi Klum looks festive bright red beanie scarf plants kiss husband Tom Kaulitz sweet online clip Bachelor Paradise alum Krystal Nielson confesses scary pregnant legally married ex Chris Randone RHOC star Braunwyn WindhamBurke seen time coming lesbian enjoys dinner costars Pregnant Paloma Faith wows poses red avant garde gown glam Attitude shoot... star jokes shes gay man womans body Chrissy Teigen wears allblack goes supermarket shopping mother Vilailuck... amid recovery heartbreaking baby loss Angelina Jolie puts chic display pair black leather boots stops party supply store sonKnox Lon stock wrapping paper Black Panther star Letitia Wright deletes ALL social media accounts following backlash sharing COVID antivaxx video Cardi B displays stunning curves seethrough dress thong bodysuit shares series sultry snaps Chantel Jeffries puffs suspiciouslooking cigarette shows physique tiny tiedye bikini beach trip beau Drew Taggart Brian Austin Green said got selfworth estranged wife Megan Fox podcast recorded secret separation earlier year Kylie Jenner stuns headtotoe Dior poses snow baby Stormi, two, Tahoe getaway Kylie looked inch snow bunny rocked chic jacket William Kate taking publics spirit UK tour amid lockdown, royal expert claims My married head says, dont Paul McCartney jokes sexual dreams discusses finding music inspiration visions Isla Fisher looks sensational blue retro designer ensemble promotes Christmas comedy Godmothered Sixties star Pamela Tiffin, played opposite James Cagney Paul Newman Playboy centerfold, dies 78 Caprice, 49, teases taut midriff glamorous offtheshoulder scarlet jumpsuit enjoys night London Jude Law reveals navigates life spotlight says doesnt dwell public image James Corden admits worried hosting role The Late, Late Show END acting career Star seen Netflix musical film The Prom All aboard Kate Wills Express Cambridges hop Royal Train single beds Formica dining table begin threeday tour Britain thank frontline pandemic workers Dionne Warwick asks Chance The Rapper explain chose rapper stage name... sparking hilarious Twitter exchange Saturday Night Live: Country star Morgan Wallen relives uninvited breaking COVID19 safety procedures... returns Jason Bateman hosting Real Housewives Atlantas Kenya Moore describes disaster date Kanye West recalls watching explicit content Ana Armas goes walk friends moving Ben Afflecks 20M Pacific Palisades mansion putting Venice home market Inside Kardashian winter getaway: Family shelled 6K night Lake Tahoe cabin 17 bedrooms, indoor pool movie theater Does Lady Louise Windsor look like great great grandmother Queen Mary? Royal fans wild teenagers uncanny resemblance monarch from1910 Miley Cyrus reveals shes staying sexually satisfied pandemic thanks FaceTime sex: Its safest Nikki Bella fiance Artem Chigvintsev discuss coparent son Matteo event split... commemorate Christmas family photoshoot Viewers watching The Crown IMPROVED opinion Royal Family despite critics slamming hit Netflix drama fiction Kate Hudson dresses daughter Rani Rose nines Christmas shares cute photo toddler festive holiday blazer onesie Cardi B shows support sooo talented Teyana Taylor announced retirement music: I hate feels feels Gwyneth Paltrow husband Brad Falchuk matching camouflage pants Los Angeles hike They returned East Coast Stereophonics star Kelly Jones reveals hes learned transgender son, 15, admits: I dont know gone Halsey shows cleavage sizzling hot pink lingerie reveals new rainbow ombre hair color... calling Grammy Awards snub Laverne Shirley star David Lander dies 73 decadeslong battle multiple sclerosis Actor famous role ofSquiggy classic 70s TV series Idris Elba, 48, flaunts bulging biceps muscular chest red Nike singlet eats ice cream stroll Sydney Vinnie Jones reveals little chat late wife Tanya morning tell I miss her... losing cancer 18 months ago Im gonna regret this: Olivia NewtonJohns daughter Chloe Lattanzi shares bizarre antivaxxer rant COVID19 conspiracy theories Kyle Richards speaks COVID19 diagnosis daughter Sophia isolate family: I wait hug Josh Brolins wife Kathryn happily shows baby bump workout gym... days date Matthew McConaughey Russell Brand blast illiberal far left condescend patronize conservatives voted Trump Katie Lee responds Instagram user criticized holds threemonthold daughter Iris: Mom shame, much? Kourtney Kardashian accentuates refined curves bright green piece skateboards poolside... following lavish Lake Tahoe trip sisters mom Jennifer Garner reacts Peppermint number movie Netflix... years lukewarm response box office Lili Reinhart Riverdale costars KJ Apa Cole Sprouse seen separately break shooting Vancouver Courteney Cox puts health rocks cloth face mask run errands Los Angeles... recreating THAT iconic Thanksgiving scene Friends Selena star Christian Serratos reveals doesnt sing new series quickly shot number Netflix Vanessa Hudgens keeps preppy purple sweats takes home cutest Christmas tree best friend GG Magree Kate Moss enigma: Former Vogue editor ALEXANDRA SHULMAN offers unique insight supermodel helped famous Inside Sydney apartment building transformed luxurious Parisian abode glamorous Dior television ad starring Natalie Portman Kristen Wiig reveals role Wonder Woman 1984 inspired groundbreaking careers female action stars Linda Hamilton Sigourney Weaver eighties Eiza Gonzalez looks cute pink heartadorned sweatsuit picks coffee Los Angeles Earlier week, revealed extensive food allergies I chills: Awkwafina proudly reflects making history Golden Globes admits owes successes actress Lucy Liu new interview Vogue Australia Malin Akerman makes pitstop convenience store San Bernardino enjoys road trip sister The42yearold actress appeared high spirits Bella Hadid puts cheeky display VERY revealing tights BTS throwbacks years Paris Fashion Week Victoria Monet announces shes pregnant child: Ive promoted title Queen...Mom Chuck Wicks welcomes baby boy Tucker wife Kasi SAME DAY drops new single Old With You Kasi I ourselves, 41yearold gushed L.A.Xodus Why stars like Isla Fisher, Sacha Baron Cohen, Natalie Portman Zac Efron fleeing coronastricken US better life Australia Kylie Jenners stalker chased home neighbor DeMar DeRozan NBA star finds intrudernear childrens bedroom Rebel Wilson highlights incredible 60pound weight loss fitted ski onesie enjoys snow trip Austria year health Roald Dahls family apologises antisemitism 37 years referred trait Jewish character provokes animosity I hate myself: Robbie Williams admits doesnt believe hes good thinks insecurities date time Take That Heidi Klum, 47, says lookalike daughter Leni, 16, interested modeling kept public eye: She old TALK OF THE TOWN: Nicoles got BMX appeal Kidman reveals secret 14year marriage husband Keith Urban Shia LaBeouf takes brisk morning jog sans face mask amid renewed stayathome order Los Angeles county Chris Pratt goes bike ride eightyearold son Jack American flag sweatshirt dubbed clown Twitter Now HBO mocks Prince George cruel unfair cartoon portraying spoilt brat following row Netflixs depiction royals The Crown Larsa Pippen slips skintight red mini dress dinner Miami amid Malik Beasley drama Star stepped dinner pal Singer MAX wife Emily Cannon welcome baby girl named Edie: She came world eyes wide open, ready adventure Netflix says screen disclaimer The Crown episode bosses claim viewers know royal drama work fiction based historical events Vanessa Bryant wishes daughter Bianka happy 4th birthday celebrates time Kobe: You bring sunshine Tom Brady Gisele Bundchen wish eldest daughter Vivian Lake happy eighth birthday: You sweetest Kate Moss minime daughter Lila Grace, 18, head Mayfair club Oswalds lockdown ends The supermodels matching black tops jackets. TALK OF THE TOWN: Duchess Cornwall lead starstudded virtual carol concert hosted Fiona Bruce Saint turns 5 Kim Kardashian showers eldest son love birthday shares snaps Tahoe getaway: One lifes soul mates Lori Loughlins daughter Olivia Jade Giannulli goes shopping LA parents serve jail sentences college admissions scandal Jennifer Garner hilariously recreates sexy pool scene breakout spy series Alias celebrate 10million Instagram followers This MAGA country, dumb pandering fk Kate Beckinsale brands Trumpsupporting troll cutie goading post receiving expletiveladen stream abuse Blending Prince Harry mistaken Christmas tree SALESMAN little boy parking lot holiday store Meghan shopping decor Shakira bares taut midriff 1980s style workout gear joins Black Eyed Peas music video Girl Like Me Inside Pia Millers fairytale new life multimillionaire fianc Patrick Whitesell: From living lavish mansions partying Alisters exclusive soires Amber Rose leaves little imagination TINY black sheer bodysuit shares sizzling snap promote OnlyFans Hes spoken NASA it: Tom Cruise eyes Hollywood star film SPACE final movies Mission: Impossible franchise The Hills star Whitney Port keeps comfy casual brown tracksuit picking coffee Los Angeles John Lennons interview: How Beatles star shared feelings Paul McCartney, homesickness dreams future British radio host Selena Quintanillas widowed husband Chris Perez reminisces Latin music icon comments new Netflix series: I loved music I joined band MaryKate Olsen dons chic allblack outfit purse stepping chilly New York City day dining twin sister Ashley Marvel star Letitia Wright LIKES tweets calling recast Black Panther sequel cancelled shes slammed antivaxx video Jessica Alba dons holiday colors goes shopping Hollywoods new Target picks large product OWN Honest company The names Craig... Danny Craig Future James Bond star pictured aged 16 tuxedo glamorous redhead supply teacher Bad Girls Club star Whitney Collings dies aged 33 mother mourns loss: I completely broken Jeremih returns home hospital neardeath COVID19 battle ICU hooked ventilator: I like thank God Advertisement From Makers Candy Crush Farm Heroes Saga, 4 Game iTunes. Play NEW ARTICLESHomeTop Share Back Home U.K. News Sports U.S. Showbiz Australia Femail Health Science Money Video Travel Shop DailyMailTV Sitemap Archive Video Archive Topics Index Mobile Apps Screensaver RSS Textbased site Reader Prints Our Papers Top Daily Mail Mail Sunday This Money Metro Jobsite Mail Travel .uk Prime Location Published Associated Newspapers Ltd Part Daily Mail, The Mail Sunday Metro Media Group dmg media How complain Leadership Team Advertise Contributors Work Us Terms Do sell info CA Privacy Notice Privacy policy cookies Advertisement Advertisement | 2,020 | [
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] | 1 | NEGATIVE | 619 |
https://venturebeat.com/2020/06/24/researchers-use-ai-and-simulation-to-optimize-ride-sharing-earnings/ | 2020-06-24T00:00:00 | en | Researchers use AI and simulation to optimize ride-sharing earnings | VentureBeat |
Researchers use AI and simulation to optimize ride-sharing earnings | VentureBeat
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AI
Researchers use AI and simulation to optimize ride-sharing earnings
Kyle Wiggers@Kyle_L_Wiggers June 24, 2020 6:15 AM
Man wearing an Uber t-shirtImage Credit: GEOFFROY VAN DER HASSELT / Stringer / via Getty
Achieving stable pay for drivers on Uber, Lyft, and other ride-sharing services is a challenge, owing to the conflicting interests of drivers, passengers, and the platforms themselves. But all three could benefit from improved response times and supply utilization across a city. In a paper, researchers at Boston University describe a ride-sharing coordination approach that leverages a framework and reinforcement learning environment. In experiments, they demonstrate it’s possible to fairly maximize driver earnings without compromising the rider’s experience.
To achieve welfare objectives, like a living wage for gig workers, economists tend to rely on dynamic pricing mechanisms that stifle excess demand while resolving supply-demand imbalances in specific neighborhoods. When applied to ride-sharing, however, these mechanisms can have discriminatory effects on drivers and riders. The coauthors’ alternative — a “need-based” coordination framework — provides “envy-free” recommendations, meaning drivers working at the same location and time have no reason to envy each other’s earnings.
The framework sprung from the observation that drivers typically act independently and instances of supply-demand imbalances in a city are usually restricted to particular neighborhoods. The coupling of supply and demand can help companies learn when and where drivers need to coordinate. To support that goal, the framework combines reinforcement learning algorithms with combinatorial techniques constrained by the number of supply-imbalanced neighborhoods.
Above: A representative illustration of improvement in mean driver earnings during training.
For the sake of simulation, the framework divides cities into sets of non-overlapping zones, with time advancing in steps and drivers traveling between zones to pick up and drop off passengers. For carrying a passenger from one zone to another, drivers earn a reward that includes their earnings minus costs like gas and regular vehicle maintenance. At each time step, drivers who aren’t currently on a trip can choose one of two actions:
VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.Waiting, which involves waiting for a passenger in the current zone. If successful, it can lead to a trip to another zone for which the driver earns a reward. But when the number of drivers choosing to wait in a zone exceeds the demand of the zone at a particular time, an unsuccessful wait might occur for which the driver doesn’t earn a reward.
Relocating, which involves relocating without a passenger from one zone to another. Drivers incur a cost for this.
The researchers’ model alerts drivers to the best action they can take in every zone at each time step. For example, when two drivers are competing for a single ride from an origination zone, one of them gets the rider, gets paid, and ends at the destination. The other is given an alternate suggestion.
Above: Top: Demand fulfillment by a trained policy at different times on a representative day. Bottom: Waiting times for demand not immediately fulfilled by the model.
To evaluate the model, the coauthors built a digital environment within Gym, OpenAI’s toolkit for developing and comparing reinforcement learning algorithms. To train it, they allowed virtual drivers to repeatedly interact in the form of a city’s ride demand data:
In the first phase of each interaction, drivers behaved exploratorily by choosing a random action.
In the second phase, drivers behaved exploitatively using the policy learned up until the previous interaction. The policy recommended actions to drivers based on the time of day and their locations, but it also prevented supply-demand imbalances that might occur if (1) a number of drivers relocated to the same zone with insufficient demand or (2) if too few drivers relocated to a zone with excess demand. A metric — degree of coordination — signified the extent to which drivers located in the same zone needed to coordinate their actions. Whenever a zone has a positive degree of coordination, the policy recommended exploitative actions to a fraction of drivers within the zone.
In the third phase, actions recommended in the exploratory and exploitative phases resulted in drivers picking up passengers or relocating themselves to different zones.
In one experiment, the team fed their framework a public corpus of New York City Yellow cab rides containing location, fare, trip distance, and other information about 200,000 rides per day. They divvied up a single day’s worth of data — the first Monday in September 2015 — dividing it into 288 time-slices five minutes in length and indexed by their start time. Then they trained the model on hundreds of interactions among roughly 5,000 drivers.
The coauthors report that about 95% of the total demand during the day was satisfied with their framework. Moreover, 10% of the unfulfilled demand could be fulfilled by drivers nearby within 10 minutes, while over 70% could be fulfilled within 15 minutes, and drivers earned up to $535 on average by the end of the day.
“Without coordination, we would expect all the drivers in the city to relocate to Manhattan in order to satisfy the extremely high volume of demand during the morning commute,” the team explained. “However, our model recommends a certain proportion of drivers to wait in the outer boroughs of New York City for the early morning commute to Manhattan. Notably, the model is able to learn demand trends in time-dependent hotspots such as the JFK Airport to the south-east of the city. In contrast, during the evening commute to outer boroughs, the model exceedingly recommends that the drivers wait inside Manhattan.”
Of course, it’s worth noting that New York City has far more than 5,000 drivers — the number is estimated to be around 80,000. Another consideration is the framework’s failure to account for things like demographics or trip purposes, which might impact a driver’s decision to linger in a zone.
Still, the paper contributes to a body of work suggesting current ride-sharing algorithms are severely flawed. An October 2016 report by the National Bureau of Economic Research found that in the cities of Boston and Seattle, male riders with African American names were 3 times more likely to have rides canceled and wait as much as 35% longer for rides. Another study coauthored by researchers at Northeastern University indicates users standing only a few meters apart might be charged dramatically different fares. And a preprint paper published by researchers at George Washington University presented evidence of social bias in ride-sharing pricing algorithms.
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| Researchers use AI and simulation to optimize ride-sharing earnings | Researchers use AI simulation optimize ridesharing earnings VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Log Out AI Researchers use AI simulation optimize ridesharing earnings Kyle Wiggers June 24, 2020 6:15 AM Man wearing Uber tshirtImage Credit: GEOFFROY VAN DER HASSELT Stringer Getty Achieving stable pay drivers Uber, Lyft, ridesharing services challenge, owing conflicting interests drivers, passengers, platforms themselves. But benefit improved response times supply utilization city. In paper, researchers Boston University ridesharing coordination approach leverages framework reinforcement learning environment. In experiments, demonstrate possible fairly maximize driver earnings compromising riders experience. To achieve welfare objectives, like living wage gig workers, economists tend rely dynamic pricing mechanisms stifle excess demand resolving supplydemand imbalances specific neighborhoods. When applied ridesharing, however, mechanisms discriminatory effects drivers riders. The coauthors alternative needbased coordination framework provides envyfree recommendations, meaning drivers working location time reason envy earnings. The framework sprung observation drivers typically act independently instances supplydemand imbalances city usually restricted particular neighborhoods. The coupling supply demand help companies learn drivers need coordinate. To support goal, framework combines reinforcement learning algorithms combinatorial techniques constrained number supplyimbalanced neighborhoods. Above: A representative illustration improvement mean driver earnings training. For sake simulation, framework divides cities sets nonoverlapping zones, time advancing steps drivers traveling zones pick drop passengers. For carrying passenger zone another, drivers earn reward includes earnings minus costs like gas regular vehicle maintenance. At time step, drivers arent currently trip choose actions: VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.Waiting, involves waiting passenger current zone. If successful, lead trip zone driver earns reward. But number drivers choosing wait zone exceeds demand zone particular time, unsuccessful wait occur driver doesnt earn reward. Relocating, involves relocating passenger zone another. Drivers incur cost this. The researchers model alerts drivers best action zone time step. For example, drivers competing single ride origination zone, gets rider, gets paid, ends destination. The given alternate suggestion. Above: Top: Demand fulfillment trained policy different times representative day. Bottom: Waiting times demand immediately fulfilled model. To evaluate model, coauthors built digital environment Gym, OpenAIs toolkit developing comparing reinforcement learning algorithms. To train it, allowed virtual drivers repeatedly interact form citys ride demand data: In phase interaction, drivers behaved exploratorily choosing random action. In second phase, drivers behaved exploitatively policy learned previous interaction. The policy recommended actions drivers based time day locations, prevented supplydemand imbalances occur 1 number drivers relocated zone insufficient demand 2 drivers relocated zone excess demand. A metric degree coordination signified extent drivers located zone needed coordinate actions. Whenever zone positive degree coordination, policy recommended exploitative actions fraction drivers zone. In phase, actions recommended exploratory exploitative phases resulted drivers picking passengers relocating different zones. In experiment, team fed framework public corpus New York City Yellow cab rides containing location, fare, trip distance, information 200,000 rides day. They divvied single days worth data Monday September 2015 dividing 288 timeslices minutes length indexed start time. Then trained model hundreds interactions roughly 5,000 drivers. The coauthors report 95 total demand day satisfied framework. Moreover, 10 unfulfilled demand fulfilled drivers nearby 10 minutes, 70 fulfilled 15 minutes, drivers earned 535 average end day. Without coordination, expect drivers city relocate Manhattan order satisfy extremely high volume demand morning commute, team explained. However, model recommends certain proportion drivers wait outer boroughs New York City early morning commute Manhattan. Notably, model able learn demand trends timedependent hotspots JFK Airport southeast city. In contrast, evening commute outer boroughs, model exceedingly recommends drivers wait inside Manhattan. Of course, worth noting New York City far 5,000 drivers number estimated 80,000. Another consideration frameworks failure account things like demographics trip purposes, impact drivers decision linger zone. Still, paper contributes body work suggesting current ridesharing algorithms severely flawed. An October 2016 report National Bureau Economic Research cities Boston Seattle, male riders African American names 3 times likely rides canceled wait 35 longer rides. Another study coauthored researchers Northeastern University indicates users standing meters apart charged dramatically different fares. And preprint paper published researchers George Washington University presented evidence social bias ridesharing pricing algorithms. 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Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes and Development Factors – Neptune Pine
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Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes and Development Factors
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MarketResearch.biz added a new industry research that focuses on Wearable AI Market and forecast from 2020-2029. The study covers significant data which makes the research document a handy resource for managers, analysts, industry experts and other key people get ready-to-access and self-analyzed study along with graphs and tables to help understand market trends, opportunities, restrains, drivers and market challenges. The study is segmented by Component, Product Type, Operation Type, Application, And Region. The report includes major company profiles with their annual sales & revenue, business strategies, company financials, profits, industry growth parameters along with other essential data required for the market research. Report covers some key players such as Huawei Technologies Co Ltd, International Business Machines Corporation, Apple Inc, Sony Corporation, Google LLC, Fitbit Inc, Microsoft Corporation, Garmin Ltd, Samsung Electronics Co Ltd and com Inc.
The market is growing at a very rapid pace and with rise in technological innovation, competition and M&A activities in the industry many local and regional vendors are offering specific application products for varied end-users. The new entrants in the market are finding it hard to compete with the international vendors based on reliability, quality, and innovations in technology. Regionally, this report focuses on several key regions: North America (United States, Canada and Mexico), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), Europe (Germany, France, UK, Russia and Italy), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
For Better Understanding, Download Free Sample Copy Of Wearable AI Market Report In Just One Single Step At: https://marketresearch.biz/report/wearable-ai-market/request-sample
In this report, we are providing our clients with the most updated data and detailed summary of the estimation of macro and micro elements along with other essential data on the Wearable AI market hence making it crucial to the current players as well as the newcomers to the market. And as the international markets have been changing very rapidly over the past few years the markets have gotten tougher to get a grasp of and hence our analysts have prepared a detailed report while taking in consideration the history of the market and a very detailed forecast along with the market issues and their solution.
The given report has focused on the key aspects of the markets to ensure maximum benefit and growth potential for our readers and our extensive analysis of the market will help them achieve this much more efficiently and help to further strategize the future expansion. The report has been prepared by using primary as well as secondary analysis in accordance with porter’s five force analysis which has been a game-changer for many in the Wearable AI market. The research sources and tools that we use are highly reliable and trustworthy. The report offers effective guidelines and recommendations for players to secure a position of strength in the Wearable AI market. The newly arrived players in the market can up their growth potential by a great amount and also the current dominators of the market can keep up their dominance for a longer time by the use of our report.
Reasons to Purchase this Report:
– Analyzing the outlook of the market 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 non-economic 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
Table of Contents:
Report Overview: It includes the objectives and scope of the study and gives highlights of key market segments and players covered. It also includes years considered for the research study.
Executive Summary: It covers industry trends with high focus on market use cases and top market trends, market size by regions, and global market size. It also covers market share and growth rate by regions.
Key Players: Here, the report concentrates on mergers and acquisitions, expansions, analysis of key players, establishment date of companies, and areas served, manufacturing base, and revenue of key players.
Breakdown by Product and Application: This section provides details about market size by product and application.
Regional Analysis: All of the regions and countries analyzed in the report are studied on the basis of market size by product and application, key players, and market forecast.
Profiles of International Players: Here, players are evaluated on the basis of their gross margin, price, sales, revenue, business, products, and other company details.
Market Dynamics: It includes supply chain analysis, analysis of regional marketing, opportunities, challenges, and drivers analyzed in the report.
Appendix: It includes details about research and methodology approach, research methodology, data sources, authors of the study, and a disclaimer.
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| Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes and Development Factors | Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes Development Factors Neptune Pine Become Contributor Us Our Team Neptune Pine Business Health Wired Release Technology Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes Development Factors Posted January 30, 2020 Dorothy Martin 0 Comments0 MarketResearch.biz added new industry research focuses Wearable AI Market forecast 20202029. The study covers significant data makes research document handy resource managers, analysts, industry experts key people readytoaccess selfanalyzed study graphs tables help understand market trends, opportunities, restrains, drivers market challenges. The study segmented Component, Product Type, Operation Type, Application, And Region. The report includes major company profiles annual sales revenue, business strategies, company financials, profits, industry growth parameters essential data required market research. Report covers key players Huawei Technologies Co Ltd, International Business Machines Corporation, Apple , Sony Corporation, Google LLC, Fitbit , Microsoft Corporation, Garmin Ltd, Samsung Electronics Co Ltd com . The market growing rapid pace rise technological innovation, competition MA activities industry local regional vendors offering specific application products varied endusers. The new entrants market finding hard compete international vendors based reliability, quality, innovations technology. Regionally, report focuses key regions: North America United States, Canada Mexico, AsiaPacific China, Japan, Korea, India Southeast Asia, Europe Germany, France, UK, Russia Italy, South America Brazil, Argentina, Colombia, Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa For Better Understanding, Download Free Sample Copy Of Wearable AI Market Report In Just One Single Step At: In report, providing clients updated data detailed summary estimation macro micro elements essential data Wearable AI market making crucial current players newcomers market. And international markets changing rapidly past years markets gotten tougher grasp analysts prepared detailed report taking consideration history market detailed forecast market issues solution. The given report focused key aspects markets ensure maximum benefit growth potential readers extensive analysis market help achieve efficiently help strategize future expansion. The report prepared primary secondary analysis accordance porters force analysis gamechanger Wearable AI market. The research sources tools use highly reliable trustworthy. The report offers effective guidelines recommendations players secure position strength Wearable AI market. The newly arrived players market growth potential great current dominators market dominance longer time use report. Reasons Purchase Report: Analyzing outlook market recent trends SWOT analysis Market dynamics scenario, growth opportunities market years come Market segmentation analysis including qualitative quantitative research incorporating impact economic noneconomic 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 Table Contents: Report Overview: It includes objectives scope study gives highlights key market segments players covered. It includes years considered research study. Executive Summary: It covers industry trends high focus market use cases market trends, market size regions, global market size. It covers market share growth rate regions. Key Players: Here, report concentrates mergers acquisitions, expansions, analysis key players, establishment date companies, areas served, manufacturing base, revenue key players. Breakdown Product Application: This section provides details market size product application. Regional Analysis: All regions countries analyzed report studied basis market size product application, key players, market forecast. Profiles International Players: Here, players evaluated basis gross margin, price, sales, revenue, business, products, company details. Market Dynamics: It includes supply chain analysis, analysis regional marketing, opportunities, challenges, drivers analyzed report. Appendix: It includes details research methodology approach, research methodology, data sources, authors study, disclaimer. Customize Report AndInquiry For The Wearable AI Market Report: We grateful reading report. If wish details report want customization, contact us. You detailed entire research here. If special requirements, let know offer report want. : MarketResearch.biz terminal industrial, commercial profitmaking venture best research reports market sectors like automotive, electronics, pharmaceuticals healthcare, food beverages etc. Us At Mr. Benni Johnson MarketResearch.Biz Powered By Prudour Pvt. Ltd. 420 Lexington Avenue, Suite 300 New York City, NY 10170, United States Tel: 1 347 826 1876 Website: Email ID:inquiry Find More Reports: Winter Wear Market Dorothy Martin View posts Wired Release Share: Leave Reply Cancel reply Your email address published. Required fields marked Save name, email, website browser time I comment. Previous PostEmerging Trends 2020: Telehandler Market Qualitative Quantitative Analysis Till 2029 Terex Corporation, J C Bamford Excavators Ltd Trending Coronavirus Vaccine Tranding Emerging Trends 2020: XbyWire Market Qualitative Quantitative Analysis Till 2029 Continental AG, Kongsberg Automotive January 30, 2020 Global Wearable AI Market 2020 Report Extensive Coverage Of CAGR, Value, Opportunities, Volumes Development Factors January 30, 2020 2020 May Be The Year Of The Great Explosion Proof Equipment Market Correction InDepth Analysis By MarketResearch.Biz January 30, 2020 Emerging Trends 2020: Telehandler Market Qualitative Quantitative Analysis Till 2029 Terex Corporation, J C Bamford Excavators Ltd January 30, 2020 Global Geospatial Imagery Analytics Market 2020 Report Extensive Coverage Of Competitiors, Threats, Drivers, Risk Analysis Trends January 30, 2020 2020 May Be The Year Of The Great Allergy Relieving Eye Drops Market Correction InDepth Analysis By MarketResearch.Biz January 30, 2020 Emerging Trends 2020: Inspection Machines Market Qualitative Quantitative Analysis Till 2029 Robert Bosch GmbH, Brevetti C.E.A. SPA January 30, 2020 Categories Agriculture 36 Automotive 77 Business 12,162 Business Health 3 Busniess 90 Chemicals Materials 803 Consumer Electronics 1 Consumer Goods 126 Defense 2 Electronics 163 Energy 27 Energy Mining 117 Equipment 12 Equipment Machinery 78 Food Beverages 411 Health 655 Healthcare 512 Machines 176 Manufacturing Construction 42 Market Research 203 Medical Devices 148 Pharmaceutical 1 Pharmaceuticals Healthcare 171 Science 1,432 Software Services 1 Software Services 98 Technology 1,848 Technology Media 12 Wired Release 2,173 WiredRelease 1,715 2019 Neptune Pine | 2,020 | [
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] | 1 | POSITIVE | 621 |
https://www.latestly.com/india/news/safesense-is-the-first-ai-technology-to-keep-cyclists-safer-1684321.html | 2020-04-15T00:00:00 | en | SafeSense Is the First AI Technology to Keep Cyclists Safer | 📰 LatestLY |
SafeSense Is the First AI Technology to Keep Cyclists Safer | 📰 LatestLY
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SafeSense Is the First AI Technology to Keep Cyclists Safer
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SafeSense (Photo Credits: File Photo)
Riding a bicycle usually means sharing a road with other vehicles and that can create certain dangerous scenarios, especially since cyclists are more exposed than cars. Philadelphia based startup called SafeSense is attempting to save lives and reduce bicycle accidents by providing an early warning system for cyclists. SafeSense has an artificially intelligent sensor which can recognize objects and detect vehicles behind a bicycle and if the sensor detects incoming danger, a pair of handlebar grips will flash red and vibrate. According to SafeSense, they are making handlebar grips and tapes that can fit more than 90% of the bicycle handlebars. The artificial intelligence makes the sensor a bicycle companion because it learns from the riding style and recognizes environments to tune the alerts accordingly to minimize false alerts. Once a potential threat is detected, the sensor starts recording that instance and this feature rids cyclists of recording entire rides and sifting through hours of recordings. Additionally, a user can look at the videos later through the SafeSense app and identify if the threat was real or not to help SafeSense learn more and improve the alerts. The company claims that SafeSense is theft proof and the battery can last for more than 17 hours of usage. According to the founder and CEO, Jibran Nabeel, the team behind SafeSense are all cyclists and they have designed the product with cyclists and their usage and needs in mind. SafeSense is not available yet but is set to launch a Kickstarter campaign soon. To sign-up to be notified when the SafeSense campaign launches, head the to the company’s website.
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India COVID-19 Case Count Rises to 11,933: Coronavirus Tracker Live News Updates on April 15, 2020Medical Team and Cops, Who Went to Pick Up Suspected COVID-19 Patient For Quarantine, Attacked by Locals in Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA (Watch Video)Bored of Quarantining? From Elephants to Duck, Here Are Cute Animal Videos That Will Make You Smile!Lionel Messi Reportedly Wants Barcelona to Sack Junior Firpo, Argentine's Six New Demands Revealed!Video of Teen Astrologer Abhigya Anand Predicting 'Severe Dangers in The World From November 2019 to April 2020' Seven Months Ago is Going Viral After People Relate it With Coronavirus OutbreakPic of Pet Dog Grounded For Jumping Over the Fence is Too Cute: Trending Topics, Viral Videos and Funny Memes of The Day
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Cricket Updates
Australia vs New Zealand - ODI - 1st ODI
Mar, 13 2020 09:00 IST
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Chappell-Hadlee Trophy, 2020
India vs South Africa - ODI - 1st ODI
Mar, 12 2020 13:30 IST
Match Abandoned
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Bangladesh vs Zimbabwe - T20 - 2nd T20I
Mar, 11 2020 17:30 IST
Bangladesh beat Zimbabwe by 9 wickets
Zimbabwe in Bangladesh 2 T20I Series, 2020
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Mar, 10 2020 14:00 IST
Ireland tied with Afghanistan (Ireland win Super Over by 1 wicket)
Afghanistan and Ireland in India, 3 T20I Series, 2020
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Coronavirus in India: COVID-19 Tally Reaches 8,447, Death Toll Mounts to 273; Maharashtra Remains Worst-Hit State
Is India in Stage 3 of Coronavirus? As More COVID-19 Cases Emerge Across States, Know Which Stage of Transmission India Falls In During This Pandemic
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Paris Saint-Germain F.C. vs Borussia Dortmund - Match 198
Mar, 13 2020 01:30 IST
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Liverpool vs Atlético Madrid - Match 199
Mar, 13 2020 01:30 IST
Atletico Madrid beat Liverpool FC (3 - 2)
International Clubs UEFA Champions League 19/20
Manchester City vs Arsenal - Match 293
Mar, 13 2020 01:00 IST
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Mar, 12 2020 01:30 IST
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India COVID-19 Case Count Rises to 11,933: Coronavirus Tracker Live News Updates on April 15, 2020 Medical Team and Cops, Who Went to Pick Up Suspected COVID-19 Patient For Quarantine, Attacked by Locals in Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA (Watch Video) Districts in India to be Divided Into 3 Categories, Hotspots, Non Hotspots & Green Zones, to Tackle Coronavirus Efficiently Gujarat Government Denies Segregation of COVID-19 Wards in Ahmedabad Civil Hospital on Basis of Religion
| SafeSense Is the First AI Technology to Keep Cyclists Safer | SafeSense Is First AI Technology Keep Cyclists Safer LatestLY Live Breaking News: India COVID19 Case Count Rises 11,933: Coronavirus Tracker Live News Updates April 15, 2020 English Wednesday, April 15, 2020 Latest Stories 6 minutes ago India COVID19 Case Count Rises 11,933: Coronavirus Tracker Live News Updates April 15, 2020 Medical Team Cops, Who Went Pick Up Suspected COVID19 Patient For Quarantine, Attacked Locals Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA Watch Video Bored Quarantining? From Elephants Duck, Here Are Cute Animal Videos That Will Make You Smile Lionel Messi Reportedly Wants Barcelona Sack Junior Firpo, Argentines Six New Demands Revealed Video Teen Astrologer Abhigya Anand Predicting Severe Dangers The World From November 2019 April 2020 Seven Months Ago Going Viral After People Relate With Coronavirus Outbreak Pic Pet Dog Grounded For Jumping Over Fence Too Cute: Trending Topics, Viral Videos Funny Memes The Day Andrew Flintoff Reveals Wife Rachael Wools Secretly Gave Birth Baby Boy Christmas, Couple Named Their Fourth Child Preston This Day, That Year: Manchester Citys Centurions Secured Premier League Title 2018 Chris Hemsworths Extraction Hindi Trailer: Deal Ki Maa CD Gayi Line Cringey Dubbing Draw Flak From Viewers Districts India Divided Into 3 Categories, Hotspots, Non Hotspots Green Zones, Tackle Coronavirus Efficiently 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 Ayushmann Khurrana Urges Everyone Follow Governments Lockdown 2.0 Strictly Health Workers Cops, Who Went Pick Up Suspected COVID19 Patient, Attacked Moradabad India Is Expected Have Normal Monsoon This Year Bored Quarantining? Watch These Cute Animal Videos That Will Make You Smile Lionel Messi Reportedly Wants Barcelona Sack Junior Firpo, Argentines Six New Demands Revealed India Medical Team Cops, Who Went Pick Up Suspected COVID19 Patient For Quarantine, Attacked Locals Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA Watch Video India Likely Have Normal Monsoon Rainfall This Year, Says IMD GMAT Be Conducted Online April 20 Amid COVID19 Pandemic Districts India Divided Into 3 Categories, Hotspots, Non Hotspots Green Zones, Tackle Coronavirus Efficiently Gujarat Government Denies Segregation COVID19 Wards Ahmedabad Civil Hospital Basis Religion World India COVID19 Case Count Rises 11,933: Coronavirus Tracker Live News Updates April 15, 2020 Bill Gates Defends WHO After Donald Trumps Tirade, Says Halting Funds Amid COVID19 Pandemic Is Dangerous Unemployment USA: Jobless Rate Rise Record 13 June, 14.4 Million Jobs Lost Coming Months, Predicts Wall Street Journal IndoreBased Alpha Arogya Sells Medicine Claiming Can Cure COVID19, Gets Warning Letter USFDA Boston University May Keep Campus Closed Till 2021 Due COVID19; Harvard, Arizona, Oregon State Considering Resuming Classes Fall Technology Google Announces A Journalism Emergency Relief Fund To Deliver Urgent Aid To Thousands Local News Publishers Discovery Plus Launches A Limited Time Annual Subscription Package At Rs 99; Offer Available Till April 16 Samsung Galaxy Fold 2 Likely To Be Launched Later This Year; May Ditch The SPen Apple Maps Users Mobility Data Released To Help Health Authorities Combat COVID19 Pandemic Googleowned YouTube Launches UPI Payment Mode India Auto BS6 TVS Radeon Motorcycle Launched India; Prices Start Rs 58,992 MG Hector BS6 Diesel Variant Silently Launched; Priced India Starting From Rs 13.88 Lakh More Than 6,500 Units 2020 Hyundai Creta SUV Dispatched India Suzuki Motorcycle India Recorded 5.7 Growth Sales During FY201920 Coronavirus Impact Auto Industry: Maruti Suzuki India Sales Down By 47 Percent March 2020 Sports Lionel Messi Reportedly Wants Barcelona Sack Junior Firpo, Argentines Six New Demands Revealed Andrew Flintoff Reveals Wife Rachael Wools Secretly Gave Birth Baby Boy Christmas, Couple Named Their Fourth Child Preston This Day, That Year: Manchester Citys Centurions Secured Premier League Title 2018 Yuzvendra Chahal Shares Candid Picture With Virat Kohli MS Dhoni From 2019 World Cup, Captions Old Best Memories Cricket As Child, I Was Arsenal Fan Because Thierry Henry: Paul Pogba Entertainment Ayushmann Khurrana Urges Everyone Follow Governments Lockdown 2.0 Strictly, Says We Can Save Our Own Lives Demi Lovato Admits She Is No More Friends Selena Gomez Chris Hemsworths Extraction Hindi Trailer: Deal Ki Maa CD Gayi Line Cringey Dubbing Draw Flak From Viewers Gul Panag Narrate Stories Brave Indias Armed Forces Raise Our Courage Amid COVID19 Pandemic Salman Khan Sends Strong Message About Uniting Against Coronavirus With Powerful Picture Read Tweet Lifestyle Abigail Ratchford Asks Front Back While Showing Ample Cleavage Booty Her Recent Instagram Post Fans CANT Decide Fashion FaceOff: Samantha Akkineni Daisy Shah Preetham Jukalker Ikat Pantsuit? Who Wore It Better? UK Man Shares Unorthodox Symptoms Coronavirus He Documented Before Being Rushed Hospital Critical Condition National Banana Day 2020 Healthy Recipes: Got Ripe Bananas? Here Genius Ways Use Them Apart Putting Them Your Smoothies Should You Make Toddlers Babies Wear Face Masks COVID19 Pandemic? Heres How Keep Infants Safe Coronavirus Outside Home Viral Bored Quarantining? From Elephants Duck, Here Are Cute Animal Videos That Will Make You Smile Video Teen Astrologer Abhigya Anand Predicting Severe Dangers The World From November 2019 April 2020 Seven Months Ago Going Viral After People Relate With Coronavirus Outbreak Pic Pet Dog Grounded For Jumping Over Fence Too Cute: Trending Topics, Viral Videos Funny Memes The Day Roger Federers Old Pic Carrying Grocery Bags Goes Viral During Coronavirus Pandemic; Netizens Once Again Mistake Him Arbaaz Khan Mere Halat Aise Hai Song Funny TikTok Videos Memes Go Viral Amid Coronavirus Lockdown It Will Make You Laugh Cry Hard Festivals World Art Day 2020 Images HD With Quotes: Wish Happy World Art Day All Your ArtLoving Friends Out There World Art Day 2020 Date Theme: Know History Significance Day Promote Awareness Creative Activity Worldwide World Art Day 2020: Quotes Art Create Awareness Beauty Creative Art Forms Bhogali Bihu 2020 Date: Significance, Traditions And Celebrations Related Rongali Bihu Poila Boishakh 2020 Date: Significance, Story And Celebrations Related Bengali New Year Videos Lockdown Rules In Phase 2 Of Shutdown: What Will Open Up What Remains Shut In India? Migrant Workers Defy Lockdown And Come On To The Streets In Mumbai And Surat, Want To Return Home Emma Watson Turns 30: The Harry Potter Actors Quotes As Hermione That Fit Real Life World Art Day 2020: Date, History, Significance Of Day To Promote Creative Activity Worldwide Marshal Indian Air Force Arjan Singhs 101st Birth Anniversary: 11 Facts About The IAF Officer Coronavirus India: Live Map Total Active 10197 Total Deaths 392 Total Recovered 1343 Total Confirmed 11933 StayHomeStaySafe HomeIndiaNews SafeSense Is First AI Technology Keep Cyclists Safer News Agencies Apr 15, 2020 04:03 PM IST A A SafeSense Photo Credits: File Photo Riding bicycle usually means sharing road vehicles create certain dangerous scenarios, especially cyclists exposed cars. Philadelphia based startup called SafeSense attempting save lives reduce bicycle accidents providing early warning cyclists. SafeSense artificially intelligent sensor recognize objects detect vehicles bicycle sensor detects incoming danger, pair handlebar grips flash red vibrate. According SafeSense, making handlebar grips tapes fit 90 bicycle handlebars. The artificial intelligence makes sensor bicycle companion learns riding style recognizes environments tune alerts accordingly minimize false alerts. Once potential threat detected, sensor starts recording instance feature rids cyclists recording entire rides sifting hours recordings. Additionally, user look videos later SafeSense app identify threat real help SafeSense learn improve alerts. The company claims SafeSense theft proof battery 17 hours usage. According founder CEO, Jibran Nabeel, team SafeSense cyclists designed product cyclists usage needs mind. SafeSense available set launch Kickstarter campaign soon. To signup notified SafeSense campaign launches, head companys website. Comments Tags: AI technology SafeSense Comments You like Technology K2: Tech Mahindra Introduces AI Based HR Humanoid Noida Special Economic Zone Campus Uttar Pradesh Technology Fake Porn Videos Are Used Blackmail: Deepfake Technology Makes Easy Create Doctored XXX Videos Science Tired Getting Dressed? AI Technology Soon Assist Everyday Tasks Getting Ready Technology Facebook Unveils Portal Portal Plus Smart Video Chat Speakers Home Technology Indian Consumers Confident That Artificial Intelligence Will Make Lives Easier: Research Technology NVIDIA Partners With NITI Aayogs MoveHack 2018 Event Deep Learning Technology Technology Why India Needs Artificial Intelligence Work Agriculture, Healthcare Education News Medical Team Cops, Who Went Pick Up Suspected COVID19 Patient For Quarantine, Attacked Locals Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA Watch Video Advertisement Trending Latest News Coronavirus Cases Spike 1,076 India Past 24 Hours, Toll Crosses 11,400, Death Count 377Coronavirus Cases Cross 2 Million Worldwide, Over 126,000 Deaths So Far, US Worst AffectedDonald Trump Halts US Funding World Health Organization: US President Accuses WHO Covering Up Spread COVID19 After It Emerged ChinaBeware COVID19 Related Fake Websites Hackers Are Using Malicious Portals Steal Digital Data Amid Coronavirus Outbreak, Check Full ListShah Rukh Khan Is Glad To Be Of Service He Contributes 25,000 PPE Kits For Essential Service Providers Battling COVID19Emmanuel Macron, President France, Extends Coronavirus Lockdown Till May 11 India COVID19 Case Count Rises 11,933: Coronavirus Tracker Live News Updates April 15, 2020Medical Team Cops, Who Went Pick Up Suspected COVID19 Patient For Quarantine, Attacked Locals Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA Watch VideoBored Quarantining? From Elephants Duck, Here Are Cute Animal Videos That Will Make You SmileLionel Messi Reportedly Wants Barcelona Sack Junior Firpo, Argentines Six New Demands RevealedVideo Teen Astrologer Abhigya Anand Predicting Severe Dangers The World From November 2019 April 2020 Seven Months Ago Going Viral After People Relate With Coronavirus OutbreakPic Pet Dog Grounded For Jumping Over Fence Too Cute: Trending Topics, Viral Videos Funny Memes The Day fuel forex City Petrol Diesel New Delhi 69.59 62.29 Kolkata 73.30 65.62 Mumbai 76.31 66.21 Chennai 72.28 65.71 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 76.4725 0.19 EUR 83.2825 0.09 Advertisement 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 Jallianwala Bagh Massacre, 101 Years Ago: How Many Were Martyred? Did General Dyer Face Consequences? Other FAQs Thank You Coronavirus Helpers Google Doodle: Engine Says To All Grocery Workers: Thank You As They Continue Fight COVID 19 Coronavirus India: COVID19 Tally Reaches 8,447, Death Toll Mounts 273; Maharashtra Remains WorstHit State Is India Stage 3 Coronavirus? As More COVID19 Cases Emerge Across States, Know Which Stage Transmission India Falls In During This Pandemic Advertisement 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 CAA ProtestCoronavirusNarendra ModiCoronavirus IndiaBigg Boss 13Sharad PawarJNUDeepika PadukoneExam ResultBJPAadhaar CardVirat KohliRahul Gandhi Advertisement Coronavirus: 115 : 15 2020 LIVE : , 15 , , : 19 3 AIIMS , : , 21 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 World Technology Auto Viral Photos Videos Terms Of Use Us . India COVID19 Case Count Rises 11,933: Coronavirus Tracker Live News Updates April 15, 2020Medical Team Cops, Who Went Pick Up Suspected COVID19 Patient For Quarantine, Attacked Locals Moradabad; UP CM Yogi Adityanath Orders Probe Under NSA Watch VideoDistricts India Divided Into 3 Categories, Hotspots, Non Hotspots Green Zones, Tackle Coronavirus EfficientlyGujarat Government Denies Segregation COVID19 Wards Ahmedabad Civil Hospital Basis Religion | 2,020 | [
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] | 1 | POSITIVE | 622 |
https://www.forbes.com/sites/joemckendrick/2020/07/26/artificial-intelligence-loses-some-of-its-edginess-but-is-poised-to-take-off/ | 2020-07-26T00:00:00 | en | Artificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take Off | Artificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take OffBillionairesAll 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 TechGamesGreen 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 RatesSecond Stimulus Check Calculator ($40K)Best Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator (HEROES)Browse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Calculator Proposals Featured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata | Paid ProgramMoney 2020Roostify Insights | Paid ProgramTableau BrandVoice | Paid ProgramThePowerMBA BrandVoice | Paid ProgramUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessWheelsAll WheelsMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesReport a Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story|Jul 26, 2020,04:21pm EDTArtificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take OffJoe McKendrickContributorOpinions expressed by Forbes Contributors are their own.Enterprise TechI track how technology innovations move markets and careersShare to FacebookShare to TwitterShare to Linkedin
AI advances
getty
More than a decade ago, Nicholas Carr, in his work Does IT Matter, suggested that the widespread availability and low prices of technology made it more of a utility like electricity or water, versus a competitive differentiator. This may be happening with artificial intelligence to some degree.
“It appears that AI’s early adopter phase is ending; the market is now moving into the ‘early majority’ chapter of this maturing set of technologies,” write Beena Ammanath, David Jarvis and Susanne Hupfer, all with Deloitte, in their most recent analysis of the enterprise AI space. “Early-mover advantage may fade soon. As adoption becomes ubiquitous, AI-powered organizations may have to work harder to maintain an edge over their industry peers.”
Seventy-four prevent of 2,727 executives responding to a Deloitte survey agree that AI will be integrated into all of their enterprise applications within three years. “Although adopters are still bullish on AI, their advantage may wane as barriers to adoption fall and usage grows, Ammanath and her co-authors state. “Organizations are finding it easier and easier to employ AI technologies. Data science and machine learning platforms have proliferated; AI-optimized hardware is providing greater compute power. It is now easier to train algorithms through self-service data preparation tools, synthetic data, small data, and pretrained models.”
Most Popular In: Enterprise TechWhat Can 3D Printing Be Used For? Here Are 10 Amazing ExamplesGoogle Cloud Claims Another Win With Box PartnershipScaleFactor Raised $100 Million In A Year Then Blamed Covid-19 For Its Demise. Employees Say It Had Much Bigger Problems.It is increasingly clear that “we are on the path toward an era of pervasive AI,” they add. The challenge now is leveraging AI in innovative ways to maintain its advantages, the study finds. For example, much of the work with AI is still confined to managing IT systems. In addition, there still isn’t enough AI talent to go around.
At least 26% of the companies surveyed can be considered “seasoned” AI adopters, meaning they “have undertaken a large number of AI production deployments and have developed a high level of AI expertise across the board. These AI leaders are still seeing competitive advantage — 45% of this group said that AI technologies have enabled them to establish a significant lead over their competitors, versus 26% of the entire sample.
Still, this means a majority of even the most advanced AI companies, 55%, still aren’t seeing competitive advantage. Part of this may be due to the fact that AI is still confined to IT departments and functions, including cybersecurity Forty-seven percent of respondents indicated that IT was one of the top two functions for which AI was primarily used, the survey shows.
“This could mean that companies are using AI for IT-related applications such as analyzing IT infrastructure for anomalies, automating repetitive maintenance tasks, or guiding the work of technical support teams,” Ammanath and her co-authors note. Tellingly, business functions such as marketing, human resources, legal, and procurement ranked at the bottom of the list of AI-driven functions.
An area that needs work is finding or preparing individuals to work with AI systems. Fewer than half of executives (45%) say they have “a high level of skill around integrating AI technology into their existing IT environments,” the survey shows. “This could include data science and machine learning platforms, enterprise applications powered by AI, tools for developing conversation interfaces, and low-code or no-code tools. Across all these different technology areas, 93% are using cloud-based AI capabilities, while 78% employ open-source AI capabilities.
Ammanath and her team offer some suggestions for keeping the edge with AI:
Pursue creative approaches. “Take inspiration from inventive use cases to develop solutions that are both useful and novel.”
Push boundaries. “Expand your view of what may be possible to accomplish with AI technologies. Try to pursue a more diverse portfolio of projects that could potentially enhance multiple business functions across the enterprise.”
Create the new. “Look to develop new AI-powered products and services that take advantage of the technologies’ ability to learn and solve problems that humans can’t.”
Expand the circle. “Move AI beyond the IT department by involving more of the business in AI efforts. Look for new vendors, partnerships, data sources, tools, and techniques to advance your efforts.”
Leverage a diverse team. “Include both technical and business experts in selecting AI technologies and suppliers. Having a broad perspective from developers, integrators, end users, and business owners can help ensure organizational alignment and a focus on business outcomes.” Along with any vendor support consider using working groups, dedicated leaders, or communities of practice.
Actively address risks. “Developing a set of principles and processes to actively manage the range of AI risks can help build trust within your business and with customers and partners.”
Challenge vendors. “While it is important to build trust and transparency with providers of your AI-powered systems, it can be equally essential to ensure that what they provide is aligned with your organization’s ethical principles.”
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 FeedbackReport a Security IssueTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices | Artificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take Off | Artificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take OffBillionairesAll BillionairesWorlds BillionairesForbes 400Americas Richest SelfMade WomenChinas RichestIndias RichestIndonesias RichestKoreas RichestThailands RichestJapans RichestAustralias RichestTaiwans RichestSingapores RichestPhilippines RichestHong Kongs RichestMalaysias RichestMoney Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCloudCloud 100Consumer TechCybersecurityEnterprise TechGamesGreen TechHealthcareIBM Security BrandVoice Paid ProgramJapan BrandVoice Paid ProgramJumio BrandVoice Paid ProgramOracle BrandVoice Paid ProgramSAP BrandVoice Paid ProgramScienceServiceNow BrandVoice Paid ProgramSmartsheet BrandVoice Paid ProgramSocial MediaTMobile For Business BrandVoice Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCIO NetworkCMO NetworkDeloitte BrandVoice Paid ProgramDiversity lusionEducationForbesWomenGoogle 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 RatesSecond Stimulus Check Calculator 40KBest Business Credit CardsBest Travel Insurance CompaniesSecond Stimulus Check Calculator HEROESBrowse All Credit CardsBest Life Insurance CompaniesSecond Stimulus Check Calculator Proposals Featured30 Under 30 2020DNA Of SuccessForbes Analytics Plus With Teradata Paid ProgramMoney 2020Roostify Insights Paid ProgramTableau BrandVoice Paid ProgramThePowerMBA BrandVoice Paid ProgramUnder 30 Detroit Hackathon: Accelerating ChangeVoices Of SuccessWheelsAll WheelsMoreForbes Daily Cover StoriesForbes Editors PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue ForbesReport Security IssueSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. BETAThis BETA experience. You optout byclicking hereEdit StoryJul 26, 2020,04:21pm EDTArtificial Intelligence Loses Some Of Its Edginess, But Is Poised To Take OffJoe McKendrickContributorOpinions expressed Forbes Contributors own.Enterprise TechI track technology innovations markets careersShare FacebookShare TwitterShare Linkedin AI advances getty More decade ago, Nicholas Carr,in workDoes IT Matter, suggested widespread availability low prices technology utility like electricity water, versus competitive differentiator. This happening artificial intelligence degree. It appears AIs early adopter phase ending; market moving early majority chapter maturing set technologies, write Beena Ammanath, David Jarvis Susanne Hupfer, Deloitte, recent analysis enterprise AI space. Earlymover advantage fade soon. As adoption ubiquitous, AIpowered organizations work harder maintain edge industry peers. Seventyfour prevent 2,727 executives responding Deloitte survey agree AI integrated enterprise applications years. Although adopters bullish AI, advantage wane barriers adoption fall usage grows, Ammanath coauthors state. Organizations finding easier easier employ AI technologies. Data science machine learning platforms proliferated; AIoptimized hardware providing greater compute power. It easier train algorithms selfservice data preparation tools, synthetic data, small data, pretrained models. Most Popular In: Enterprise TechWhat Can 3D Printing Be Used For? Here Are 10 Amazing ExamplesGoogle Cloud Claims Another Win With Box PartnershipScaleFactor Raised 100 Million In A Year Then Blamed Covid19 For Its Demise. Employees Say It Had Much Bigger Problems.It increasingly clear path era pervasive AI, add. The challenge leveraging AI innovative ways maintain advantages, study finds. For example, work AI confined managing IT systems. In addition, isnt AI talent around. At 26 companies surveyed considered seasoned AI adopters, meaning undertaken large number AI production deployments developed high level AI expertise board. These AI leaders seeing competitive advantage 45 group said AI technologies enabled establish significant lead competitors, versus 26 entire sample. Still, means majority advanced AI companies, 55, arent seeing competitive advantage. Part fact AI confined IT departments functions, including cybersecurity Fortyseven percent respondents indicated IT functions AI primarily used, survey shows. This mean companies AI ITrelated applications analyzing IT infrastructure anomalies, automating repetitive maintenance tasks, guiding work technical support teams, Ammanath coauthors note. Tellingly, business functions marketing, human resources, legal, procurement ranked list AIdriven functions. An area needs work finding preparing individuals work AI systems. Fewer half executives 45 high level skill integrating AI technology existing IT environments, survey shows. This include data science machine learning platforms, enterprise applications powered AI, tools developing conversation interfaces, lowcode nocode tools. Across different technology areas, 93 cloudbased AI capabilities, 78 employ opensource AI capabilities. Ammanath team offer suggestions keeping edge AI: Pursue creative approaches. Take inspiration inventive use cases develop solutions useful novel. Push boundaries. Expand view possible accomplish AI technologies. Try pursue diverse portfolio projects potentially enhance multiple business functions enterprise. Create new. Look develop new AIpowered products services advantage technologies ability learn solve problems humans cant. Expand circle. Move AI IT department involving business AI efforts. Look new vendors, partnerships, data sources, tools, techniques advance efforts. Leverage diverse team. lude technical business experts selecting AI technologies suppliers. Having broad perspective developers, integrators, end users, business owners help ensure organizational alignment focus business outcomes. Along vendor support consider working groups, dedicated leaders, communities practice. Actively address risks. Developing set principles processes actively manage range AI risks help build trust business customers partners. Challenge vendors. While important build trust transparency providers AIpowered systems, equally essential ensure provide aligned organizations ethical principles. 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 FeedbackReport Security IssueTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices | 2,020 | [
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https://seekingalpha.com/article/4356029-global-x-robotics-artificial-intelligence-thematic-etf-good-prospects-price-to-pay?source=feed_all_articles | 2020-06-28T00:00:00 | en | Global X Robotics & Artificial Intelligence Thematic ETF: Good Prospects, A Price To Pay (NASDAQ:BOTZ) | Seeking Alpha | Global X Robotics & Artificial Intelligence Thematic ETF: Good Prospects, A Price To Pay (NASDAQ:BOTZ) | Seeking AlphaSeeking AlphaSign inProMarketplaceSubscribe PremiumPremium OverviewCompare Stocks & FundsNotable CallsNews DashboardTop Rated StocksTop Dividend StocksTop REITsTop Growth StocksMy PortfolioAll Portfolios+ Create PortfolioManage Email SummaryManage Real Time Email AlertsAuthorsMy AuthorsAuthor Email AlertsLatest StockTalksTop StocksRatings ScreenerETF ScreenerLatest NewsLatest NewsNotable CallsOn The MoveTop NewsWall Street BreakfastIPO NewsM&A NewsU.S. EconomyTech NewsEnergy NewsHealthcare NewsCrypto NewsTop Movers on EarningsEarnings NewsEarnings CalendarSee All Sections »MarketsMarket OutlookToday’s Market EconomyGold and Precious MetalsCommoditiesForexReal EstateEditors PicksCryptocurrenciesGlobal Investing CenterStock IdeasLong IdeasIPO AnalysisQuick Picks and ListsFund LettersClosed End FundsStock Ideas by SectorStock Ideas Editors PicksShort IdeasDividendsDividend IdeasDividend NewsREITsDividend StrategyDividend Quick PicksDividend ETFsReal Estate ETFsDividend Editors PicksFixed IncomeRetirementETFsETF AnalysisETF ScreenerEditors' PicksLet’s Talk ETFsETF Performance - SectorsETF Performance - CountriesETF Performance - Market CapInvesting StrategyInvesting StrategyEditors' PicksPortfolio StrategyFinancial AdvisorPodcastsLatest PodcastsWall Street BreakfastCannabis InvestingBehind the IdeaLet’s Talk ETFsSA for FAsMarketplace RoundtableInvesting EdgeAlpha TraderHelp & SupportKnowledge BaseFeedback ForumSeeking AlphaETF Analysis | Tech Global X Robotics & Artificial Intelligence Thematic ETF: Good Prospects, A Price To PayJun. 28, 2020 12:54 PM ET|| About: Global X Robotics & Artificial Intelligence Thematic ETF (BOTZ)by: Michael A. Gayed, CFAMichael A. Gayed, CFA The Lead-Lag ReportAnticipate Corrections and Volatility with Award Winning ResearchSummaryGlobal X Robotics & Artificial Intelligence Thematic ETF (BOTZ) is an undiversified fund tracking companies in the software sector with a focus on Artificial Intelligence and Robotics.Projected growth in the AI and Robotics space is expected to be high, backed up by the demand in healthcare, defense, oil & gas and retail sector.Valuations seem reasonable when compared to leading players in the Technology industry.I will tell you how to become rich. Close the doors. Be fearful when others are greedy. Be greedy when others are fearful. – Warren Buffett We have witnessed two events since 2019 that have reinforced the need for automation in different industries: the Trade War between the US and China and the COVID-19 pandemic. The trade war has created uncertainty over the manufacturing hubs in China, with many companies looking to bring jobs onshore. This may be a costly affair given the higher level of salaries in the US. Robots can provide some respite to firms suffering from high labor costs – not to mention robots work without breaks and many more hours per day. The curb on working visas recently, too, should propel firms to adopt such means since the availability of immigrantion labor is expected to become limited. The pandemic has also been a catalyst for companies to implement Artificial Intelligence and Robotics in a bid to reduce dependency on human labor. The euphoria in these sectors is reflected in the share price of Global X Robotics & Artificial Intelligence Thematic ETF (BOTZ), an ETF focussing on Robotics and Artificial Intelligence. Estimated growth in the Industry Based on the constituent holdings, we can segregate the companies within two industries. The growth prospects within these markets should shed some light on the future of the ETF.
Robotics: In a report by Fiormarkets, it is estimated that the robotics market is expected to grow at a CAGR of 19.11% from 2018 to 2025. The demand for robots in the Oil & Gas and Defence sectors is the key driver for growth and the application is set to expand as the complexity of robots evolve. There is also a potential for robots to be used in domestic circles given the reduction in costs. Artificial Intelligence: This segment is considered to be the next major breakthrough and is expected to have numerous applications. AI impacts every industry as we see a spike in the demand for different technologies like Machine Learning and Natural Language Processing. The overall sector is expected to grow at a rate of 33.1% and industries like Healthcare, Manufacturing, and Retail are expected to witness major disruptions. A look into the Holdings Since the ETF tracks a highly specialized sector, there are few established players to choose from. It does not come as a surprise that almost 65% of the portfolio is concentrated in the top 10 holdings and 89% of the investment concentrated in Technology and Industrials. Source: Seeking Alpha The composition presents a mixed bag in terms of future expectations. For example, NVIDIA (NVDA) is expected to grow at 34% and Dynatrace (DT) at 17%. On the other hand, companies like Intuitive Surgical (ISRG) has witnessed tremendous pressure due to COVID-19. Revenues are expected to take a hit as medical procedures have taken a backseat and the company expects to see a contraction in its revenue. There is a lot of uncertainty with muted expectations especially in the second-quarter results but based on the estimates there could be a revival in the latter part of the year. There could also be a renewed urgency to introduce robots in a number of industries that are facing uncertainty over immigration rules. Cloud-based platforms backed up by AI have also been gaining ground and the lockdown has actually helped companies like NVIDIA that cater to the gaming industry as well.
What does the Valuation say? Since a significant chunk is invested in the Technology industry, it is expected that the valuations of the ETF have already been stretched by the recent rally. This has also not been assisted by the lower earnings in the last quarter. Source: Yahoo Finance Other than P/E, we realize that the pricing is not that bad. If we compare it to a few behemoths like Apple (AAPL) and Microsoft (MSFT), the valuations would actually look more attractive. Apple Microsoft Trailing P/E 28.06 32.52 P/B 19.83 12.92 P/S 6.02 10.84 Source: Yahoo Finance The bigger companies have not witnessed a drop in earnings like that of smaller companies like Intuitive Surgical and the volatility may be subdued in the future as well. If the economy picks up, we could see a higher momentum in the constituent companies of BOTZ and this could drag the valuations to a more justifiable level. Investors should be looking forward to the outlook for Q3-20 in order to gauge the expected earnings. What should investors be cautious about? Some of the risks that the ETF presents are: Concentration in few companies: We have mentioned that there are few options in this segment that does not allow the ETF to diversify enough. Additionally, many of these companies are dependent heavily on a single product. The demand for such products was impacted during the pandemic and this weighed heavily on the performance of many companies. A diversified revenue stream could have reduced the risk for most of these companies. Increase in competition: As AI and robotics become more popular we have seen bigger players like International Business Machines (IBM) and Microsoft venturing into this space. The ability of these players to eat into the pie of existing companies should not be ignored while portraying an outlook.
High valuations need to be backed up by healthy earnings in difficult economic conditions: There is an assumption that demand would pick up in a few quarters. With the pandemic still looming around, there is uncertainty over future earnings. There could be a significant divergence between forecasted and actual revenues for most companies that may not justify such high valuations. BOTZ is another strong investment that doesn’t come cheap, but it does have a growth story to back up its current valuation. It is suitable for investors with a reasonable appetite for risk, just be prepared to hold through the market swings with an eye on the long-term. *Like this article? Don't forget to hit the Follow button above!
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RSS Feeds|Advertise with Us|Sitemap|About Us|Feedback|Careers|Contact UsTerms of Use|Privacy|Market Data Disclaimer|© 2020 Seeking Alpha | Global X Robotics & Artificial Intelligence Thematic ETF: Good Prospects, A Price To Pay (NASDAQ:BOTZ) | Global X Robotics Artificial Intelligence Thematic ETF: Good Prospects, A Price To Pay NASDAQ:BOTZ Seeking AlphaSeeking AlphaSign inProMarketplace PremiumPremium OverviewCompare Stocks FundsNotable CallsNews DashboardTop Rated StocksTop Dividend StocksTop REITsTop Growth StocksMy PortfolioAll Portfolios Create PortfolioManage Email SummaryManage Real Time Email AlertsAuthorsMy AuthorsAuthor Email AlertsLatest StockTalksTop StocksRatings ScreenerETF ScreenerLatest NewsLatest NewsNotable CallsOn The MoveTop NewsWall Street BreakfastIPO NewsMA NewsU.S. EconomyTech NewsEnergy NewsHealthcare NewsCrypto NewsTop Movers EarningsEarnings NewsEarnings CalendarSee All Sections MarketsMarket OutlookTodays Market EconomyGold Precious MetalsCommoditiesForexReal EstateEditors PicksCryptocurrenciesGlobal Investing CenterStock IdeasLong IdeasIPO AnalysisQuick Picks ListsFund LettersClosed End FundsStock Ideas SectorStock Ideas Editors PicksShort IdeasDividendsDividend IdeasDividend NewsREITsDividend StrategyDividend Quick PicksDividend ETFsReal Estate ETFsDividend Editors PicksFixed omeRetirementETFsETF AnalysisETF ScreenerEditors PicksLets Talk ETFsETF Performance SectorsETF Performance CountriesETF Performance Market CapInvesting StrategyInvesting StrategyEditors PicksPortfolio StrategyFinancial AdvisorPodcastsLatest PodcastsWall Street BreakfastCannabis InvestingBehind IdeaLets Talk ETFsSA FAsMarketplace RoundtableInvesting EdgeAlpha TraderHelp SupportKnowledge BaseFeedback ForumSeeking AlphaETF Analysis TechGlobal X Robotics Artificial Intelligence Thematic ETF: Good Prospects, A Price To PayJun. 28, 2020 12:54 PM ET About: Global X Robotics Artificial Intelligence Thematic ETF BOTZby: Michael A. Gayed, CFAMichael A. Gayed, CFA The LeadLag ReportAnticipate Corrections Volatility Award Winning ResearchSummaryGlobal X Robotics Artificial Intelligence Thematic ETF BOTZ undiversified fund tracking companies software sector focus Artificial Intelligence Robotics.Projected growth AI Robotics space expected high, backed demand healthcare, defense, oil gas retail sector.Valuations reasonable compared leading players Technology industry.I tell rich. Close doors. Be fearful greedy. Be greedy fearful. Warren Buffett We witnessed events 2019 reinforced need automation different industries: Trade War US China COVID19 pandemic. The trade war created uncertainty manufacturing hubs China, companies looking bring jobs onshore. This costly affair given higher level salaries US. Robots provide respite firms suffering high labor costs mention robots work breaks hours day. The curb working visas recently, too, propel firms adopt means availability immigrantion labor expected limited. The pandemic catalyst companies implement Artificial Intelligence Robotics bid reduce dependency human labor. The euphoria sectors reflected share price Global X Robotics Artificial Intelligence Thematic ETF BOTZ, ETF focussing Robotics Artificial Intelligence. Estimated growth Industry Based constituent holdings, segregate companies industries. The growth prospects markets shed light future ETF. Robotics: In report Fiormarkets, estimated robotics market expected grow CAGR 19.11 2018 2025. The demand robots Oil Gas Defence sectors key driver growth application set expand complexity robots evolve. There potential robots domestic circles given reduction costs. Artificial Intelligence: This segment considered major breakthrough expected numerous applications. AI impacts industry spike demand different technologies like Machine Learning Natural Language Processing. The overall sector expected grow rate 33.1 industries like Healthcare, Manufacturing, Retail expected witness major disruptions. A look Holdings Since ETF tracks highly specialized sector, established players choose from. It come surprise 65 portfolio concentrated 10 holdings 89 investment concentrated Technology Industrials. Source: Seeking Alpha The composition presents mixed bag terms future expectations. For example, NVIDIA NVDA expected grow 34 Dynatrace DT 17. On hand, companies like Intuitive Surgical ISRG witnessed tremendous pressure COVID19. Revenues expected hit medical procedures taken backseat company expects contraction revenue. There lot uncertainty muted expectations especially secondquarter results based estimates revival year. There renewed urgency introduce robots number industries facing uncertainty immigration rules. Cloudbased platforms backed AI gaining ground lockdown actually helped companies like NVIDIA cater gaming industry well. What Valuation say? Since significant chunk invested Technology industry, expected valuations ETF stretched recent rally. This assisted lower earnings quarter. Source: Yahoo Finance Other PE, realize pricing bad. If compare behemoths like Apple AAPL Microsoft MSFT, valuations actually look attractive. Apple Microsoft Trailing PE 28.06 32.52 PB 19.83 12.92 PS 6.02 10.84 Source: Yahoo Finance The bigger companies witnessed drop earnings like smaller companies like Intuitive Surgical volatility subdued future well. If economy picks up, higher momentum constituent companies BOTZ drag valuations justifiable level. Investors looking forward outlook Q320 order gauge expected earnings. What investors cautious about? Some risks ETF presents are: Concentration companies: We mentioned options segment allow ETF diversify enough. Additionally, companies dependent heavily single product. The demand products impacted pandemic weighed heavily performance companies. A diversified revenue stream reduced risk companies. rease competition: As AI robotics popular seen bigger players like International Business Machines IBM Microsoft venturing space. The ability players eat pie existing companies ignored portraying outlook. High valuations need backed healthy earnings difficult economic conditions: There assumption demand pick quarters. With pandemic looming around, uncertainty future earnings. There significant divergence forecasted actual revenues companies justify high valuations. BOTZ strong investment doesnt come cheap, growth story current valuation. It suitable investors reasonable appetite risk, prepared hold market swings eye longterm. Like article? Dont forget hit Follow button rs told meltup March 31. Now what? Sometimes, realize biggest portfolio risks late. Thats important pay attention right market data, analysis, insights daily basis. Being passive investor puts unnecessary risk. When stay informed key signals indicators, youll control financial future. My awardwinning market research gives need know day, ready act matters most. Click gain access try LeadLag Report FREE 14 days. Disclosure: Iwe positions stocks mentioned, plans initiate positions 72 hours. I wrote article myself, expresses opinions. I receiving compensation Seeking Alpha. I business relationship company stock mentioned article. Additional disclosure: This writing informational purposes LeadLag Publishing, LLC undertakes obligation update article opinions expressed change. It constitute offer sell, solicitation buy, recommendation securities transaction. It offer provide advisory services jurisdiction. The information contained writing construed financial investment advice subject matter. LeadLag Publishing, LLC expressly disclaims liability respect actions taken based information writing. Follow Michael A. Gayed, CFA email alertsAdd commentDisagree article? Submit own.To report factual error article, click here.Your feedback matters usSeeking Alpha RSS FeedsAdvertise UsSitemapFeedbackCareers UsTerms UsePrivacyMarket Data Disclaimer 2020 Seeking Alpha | 2,020 | [
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https://www.finanznachrichten.de/nachrichten-2020-05/49774913-after-capturing-a-record-us-dollar-2-4-billion-in-2019-ai-investments-healthcare-ai-startups-set-for-stardom-in-the-post-covid-19-world-008.htm | 2020-05-28T00:00:00 | en | After Capturing a Record US$2.4 Billion in 2019 AI Investments, Healthcare AI Startups Set for Stardom in the Post-COVID-19 World | After Capturing a Record US$2.4 Billion in 2019 AI Investments, Healthcare AI Startups Set for Stardom in the Post-COVID-19 WorldAnzeige❌Mehr »LoginStartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hoc-MitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur- und WirtschaftsnewsMarktberichteEmpfehlungsübersichtAlle AktienempfehlungenChartanalysenIPO-NewsTermineThemen-DossiersIndizesÜbersicht nach Indizes/MärktenDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtMedienMedienübersichtArchivErweiterte SucheAktienkurseAktienkurseRealtime-Aktienkursliste (L&S)Online-Broker-VergleichXETRA-OrderbuchÜbersichtXETRA-Orderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtBau / InfrastrukurBekleidung / TextilBiotechnologieChemieDienstleistungenEisen / StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetränke / TabakHalbleiterHandel / E-CommerceHardwareHolz / PapierHotels / TourismusImmobilienIndustrie / MischkonzerneInternetIT-DienstleistungenKonsumgüterKosmetikKunststoffe / VerpackungenLogistik / TransportLuftfahrt / RüstungMaschinenbauMedienNanotechnologieNahrungsmittel / AgrarNetzwerktechnikÖl / GasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowährungenWatchlistWatchlist anlegenWas bringt eine Nachrichten-Watchlist?Donnerstag, 28.05.2020 Börsentäglich
über 12.000 News von 628 internationalen
MedienErweiterteSucheNeues Unternehmens-Update zeigt brutales Upside für diese Aktie!AnzeigeIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Nachrichten»After Capturing a Record US$2.4 Billion in 2019 AI Investments, Healthcare AI Startups Set for Stardom in the Post-COVID-19 WorldFN als StartseitePR Newswire28.05.2020 | 10:3468 LeserArtikel bewerten:(0)After Capturing a Record US$2.4 Billion in 2019 AI Investments, Healthcare AI Startups Set for Stardom in the Post-COVID-19 WorldSINGAPORE, May 28, 2020 /PRNewswire/ -- In 2019, the United States led in Artificial Intelligence (AI) venture capital investment, with 220 deals and a total of US$16 billion. China remained a distant second with 24 deals and US$3.6 billion. Overall, global tech market advisory firm, ABI Research, finds that 2019 was another record year for AI investment, with total investment reaching US$22.7 billion globally. This is a 22% year-on-year increase as compared to 2018, despite multiple headwinds and realignment of interest and priorities.Automotive, data science, and healthcare and pharmaceuticals are among the key verticals that drive the growth of AI investment. Led by Argo AI, Cruise Automation, and Aurora, the self-driving industry is not only looking at passenger vehicles, but also expects to bring its self-driving capabilities into both long haul and last mile logistics, where human drivers are exposed to long operating hours and safety challenges. In data science, OpenAI, Databricks, DataRobot, and Kabbage continue to push the boundary of machine learning, offering new deep learning platforms, frameworks and models for AI developers.Among all three, the healthcare and pharmaceutical sector is the most interesting one. There was a significant jump in AI venture capital investments in the sector, from US$1 billion in 2018 to US$2.4 billion in 2019. "This signifies maturing capabilities and growing investor confidence in that domain," explains Lian Jye Su, Principal Analyst at ABI Research. "By leveraging advanced analytics and machine-learning algorithms, the healthcare system is now able to start pivoting from an illness-centric to patient-centric model. Leveraging various source of information, such as photo, microscopic image, X-ray, CT scan, and MRI scan, healthcare institutions can bring augmented and accurate disease screenings and treatment to patients. Healthcare startups receiving funding in 2019, such as Babylon Health, Tempus, and Freenome, may start to play pivotal role in post COVID-19 crisis via remote health check and diagnosis, cancer treatment analysis, and delivery of targeted therapeutics."Prior to COVID-19, healthcare startups were often confronted with the harsh reality of a conservative IT system in healthcare industries. Healthcare institutions are still relying on hand-written records. This is not useful when it comes to the training of machine learning-based AI that require digital data. Most healthcare systems are siloed in nature, which lacks the right architecture for data streaming, storage, processing, and analysis. Meanwhile, pharmaceutical industry is still relying on labor intensive drug development methods based on existing expertise and knowledge. There has been early effort to combine automation, machine learning, and genomics to synthesize new molecules and polymers for more effective cures."Innovation in healthcare generally comes in a slow pace, but once we get past COVID-19, healthcare regulators and agencies may start to pay more attention to the benefits of AI in the automation and augmentation of existing medical and R&D processes. We expect COVID-19 will spur the digital transformation of the healthcare and pharmaceutical sector. The sector will invest solutions for computing, storage and networking servers, big data integration and processing, auto-scaling features, data science toolkits and libraries, and self-service dashboards. This will provide more opportunities for healthcare and pharmaceutical startups to reach out to a wider audience, benefiting more healthcare workers and patients along the way," concludes Su.These findings are from ABI Research's Artificial Intelligence Investment in 2019 application analysis report. This report is part of the company's AI and Machine Learning research service, which includes research, data, and analyst insights. Based on extensive primary interviews, Application Analysis reports present in-depth analysis on key market trends and factors for a specific technology.About ABI ResearchABI Research provides strategic guidance to visionaries, delivering actionable intelligence on the transformative technologies that are dramatically reshaping industries, economies, and workforces across the world. ABI Research's global team of analysts publish groundbreaking studies often years ahead of other technology advisory firms, empowering our clients to stay ahead of their markets and their competitors. ABI Research?????????????,?????????????? ?1990???,????????????????,????,?????????????????????????? ???????????????? For more information about ABI Research's services, contact us at +1.516.624.2500 in the Americas, +44.203.326.0140 in Europe, +65.6592.0290 in Asia-Pacific or visit www.abiresearch.com.Contact Info: GlobalDeborah PetraraTel: [email protected] - https://mma.prnewswire.com/media/276887/abi_research_logo.jpg Kostenloser Wertpapierhandel auf Smartbroker.de© 2020 PR NewswireSie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.614.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenWerbehinweise: Die Billigung des Basisprospekts durch die BaFin ist nicht als ihre Befürwortung der angebotenen Wertpapiere zu verstehen.
Wir empfehlen Interessenten und potenziellen Anlegern den Basisprospekt und die Endgültigen Bedingungen zu lesen,
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Risiken und Chancen des Wertpapiers. Sie sind im Begriff, ein Produkt zu erwerben, das nicht einfach ist und schwer zu
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DAXXetra-OrderbuchAd hoc-MitteilungenNachrichten BörsenAktien-EmpfehlungenBranchenMedienNachrichten-ArchivRSS-News von FinanzNachrichten.dePresseImpressum | AGB | Disclaimer | DatenschutzMediadaten | After Capturing a Record US$2.4 Billion in 2019 AI Investments, Healthcare AI Startups Set for Stardom in the Post-COVID-19 World | After Capturing Record US2.4 Billion 2019 AI Investments, Healthcare AI Startups Set Stardom PostCOVID19 WorldAnzeigeMehr StartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hocMitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur und WirtschaftsnewsMarktberichteEmpfehlungsbersichtAlle AktienempfehlungenChartanalysenIPONewsTermineThemenDossiersIndizesbersicht nach IndizesMrktenDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtMedienMedienbersichtArchivErweiterte SucheAktienkurseAktienkurseRealtimeAktienkursliste LSOnlineBrokerVergleichXETRAOrderbuchbersichtXETRAOrderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtBau InfrastrukurBekleidung TextilBiotechnologieChemieDienstleistungenEisen StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetrnke TabakHalbleiterHandel ECommerceHardwareHolz PapierHotels TourismusImmobilienIndustrie MischkonzerneInternetITDienstleistungenKonsumgterKosmetikKunststoffe VerpackungenLogistik TransportLuftfahrt RstungMaschinenbauMedienNanotechnologieNahrungsmittel AgrarNetzwerktechnikl GasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowhrungenWatchlistWatchlist anlegenWas bringt eine NachrichtenWatchlist?Donnerstag, 28.05.2020 Brsentglich ber 12.000 News von 628 internationalen MedienErweiterteSucheNeues UnternehmensUpdate zeigt brutales Upside fr diese AktieAnzeigeIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:NachrichtenAfter Capturing Record US2.4 Billion 2019 AI Investments, Healthcare AI Startups Set Stardom PostCOVID19 WorldFN als StartseitePR Newswire28.05.2020 10:3468 LeserArtikel bewerten:0After Capturing Record US2.4 Billion 2019 AI Investments, Healthcare AI Startups Set Stardom PostCOVID19 WorldSINGAPORE, May 28, 2020 PRNewswire In 2019, United States led Artificial Intelligence AI venture capital investment, 220 deals total US16 billion. China remained distant second 24 deals US3.6 billion. Overall, global tech market advisory firm, ABI Research, finds 2019 record year AI investment, total investment reaching US22.7 billion globally. This 22 yearonyear increase compared 2018, despite multiple headwinds realignment priorities.Automotive, data science, healthcare pharmaceuticals key verticals drive growth AI investment. Led Argo AI, Cruise Automation, Aurora, selfdriving industry looking passenger vehicles, expects bring selfdriving capabilities long haul mile logistics, human drivers exposed long operating hours safety challenges. In data science, OpenAI, Databricks, DataRobot, Kabbage continue push boundary machine learning, offering new deep learning platforms, frameworks models AI developers.Among three, healthcare pharmaceutical sector interesting one. There significant jump AI venture capital investments sector, US1 billion 2018 US2.4 billion 2019. This signifies maturing capabilities growing investor confidence domain, explains Lian Jye Su, Principal Analyst ABI Research. By leveraging advanced analytics machinelearning algorithms, healthcare able start pivoting illnesscentric patientcentric model. Leveraging source information, photo, microscopic image, Xray, CT scan, MRI scan, healthcare institutions bring augmented accurate disease screenings treatment patients. Healthcare startups receiving funding 2019, Babylon Health, Tempus, Freenome, start play pivotal role post COVID19 crisis remote health check diagnosis, cancer treatment analysis, delivery targeted therapeutics.Prior COVID19, healthcare startups confronted harsh reality conservative IT healthcare industries. Healthcare institutions relying handwritten records. This useful comes training machine learningbased AI require digital data. Most healthcare systems siloed nature, lacks right architecture data streaming, storage, processing, analysis. Meanwhile, pharmaceutical industry relying labor intensive drug development methods based existing expertise knowledge. There early effort combine automation, machine learning, genomics synthesize new molecules polymers effective cures.Innovation healthcare generally comes slow pace, past COVID19, healthcare regulators agencies start pay attention benefits AI automation augmentation existing medical RD processes. We expect COVID19 spur digital transformation healthcare pharmaceutical sector. The sector invest solutions computing, storage networking servers, big data integration processing, autoscaling features, data science toolkits libraries, selfservice dashboards. This provide opportunities healthcare pharmaceutical startups reach wider audience, benefiting healthcare workers patients way, concludes Su.These findings ABI Researchs Artificial Intelligence Investment 2019 application analysis report. This report companys AI Machine Learning research service, includes research, data, analyst insights. Based extensive primary interviews, Application Analysis reports present indepth analysis key market trends factors specific technology.About ABI ResearchABI Research provides strategic guidance visionaries, delivering actionable intelligence transformative technologies dramatically reshaping industries, economies, workforces world. ABI Researchs global team analysts publish groundbreaking studies years ahead technology advisory firms, empowering clients stay ahead markets competitors. ABI Research?????????????,?????????????? ?1990???,????????????????,????,?????????????????????????? ???????????????? For information ABI Researchs services, contact 1.516.624.2500 Americas, 44.203.326.0140 Europe, 65.6592.0290 AsiaPacific visit Info: GlobalDeborah PetraraTel: 1.516.624.2558pr Kostenloser Wertpapierhandel auf Smartbroker.de2020PR NewswireSie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.614.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenWerbehinweise: Die Billigung des Basisprospekts durch die BaFin ist nicht als ihre Befrwortung der angebotenen Wertpapiere zu verstehen. Wir empfehlen Interessenten und potenziellen Anlegern den Basisprospekt und die Endgltigen Bedingungen zu lesen, bevor sie eine Anlageentscheidung treffen, um sich mglichst umfassend zu informieren, insbesondere ber die potenziellen Risiken und Chancen des Wertpapiers. Sie sind im Begriff, ein Produkt zu erwerben, das nicht einfach ist und schwer zu verstehen sein kann. DAXXetraOrderbuchAd hocMitteilungenNachrichten BrsenAktienEmpfehlungenBranchenMedienNachrichtenArchivRSSNews von FinanzNachrichten.dePresseImpressum AGB Disclaimer DatenschutzMediadaten | 2,020 | [
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Artificial Intelligence In Big Data Analytics And Iot Market Development Trends, Key Manufacturers and Competitive Analysis 2020-2026 – Canaan Mountain Herald
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Artificial Intelligence In Big Data Analytics And Iot Market Development Trends, Key Manufacturers and Competitive Analysis 2020-2026
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Dec 8, 2020
Artificial Intelligence In Big Data Analytics And Iot Industry, Artificial Intelligence In Big Data Analytics And Iot Market, Artificial Intelligence In Big Data Analytics And Iot Market Analysis, Artificial Intelligence In Big Data Analytics And Iot Market Demand, Artificial Intelligence In Big Data Analytics And Iot Market Size, Covid Impact Analysis on Artificial Intelligence In Big Data Analytics And Iot market
The Artificial Intelligence In Big Data Analytics And Iot Market report comprises a competitive analysis with a focus on key players and participants of Artificial Intelligence In Big Data Analytics And Iot Industry covering in-depth data related to the competitive landscape, positioning, company profiles, key strategies adopted, and product-profiling with a focus on market growth and potential.
In the report, a concise presentation has been included concerning the product or service. Moreover, the various trends and affecting factors of the Artificial Intelligence In Big Data Analytics And Iot market. These variables has helped decide the behavior of the market during the forecast period and empowered our specialists to make effective and precise predictions about the market future.
The report covers a forecast and an analysis of the Artificial Intelligence In Big Data Analytics And Iot Market on a global and regional level. The historic data is given from 2013-2019 and the estimated period is from 2020-2023 based on revenue.
The Artificial Intelligence In Big Data Analytics And Iot market was valued at US$ XX Mn in 2018 and is expected to reach US$ XX Mn by 2023, at a CAGR of 29.9% throughout 2020-2023.
Request for a Sample Copy of Artificial Intelligence In Big Data Analytics And Iot Market Report @ https://www.alltheresearch.com/sample-request/83
Competitive Landscape Covered in Artificial Intelligence In Big Data Analytics And Iot Market Report:
This report includes a study of the marketing and development strategies, along with the product portfolios of the leading companies. The Artificial Intelligence In Big Data Analytics And Iot market report elaborates insights on the Market Diversification (Exhaustive information about new products, untapped regions, and recent developments), Competitive Assessment (In-depth assessment of market shares, strategies, products, and manufacturing capabilities of leading players in the Artificial Intelligence In Big Data Analytics And Iot market).
Top players Covered in Artificial Intelligence In Big Data Analytics And Iot Market Study are:
Amazon.com Inc.
Google Inc.
IBM Corporation
Microsoft Corporation
CISCO Systems Inc.
Intel Corporation
Infineon Technologies AG
NVIDIA Corporation
Veros Systems Inc.
Apple Inc.
Artificial Intelligence In Big Data Analytics And Iot Market Segmentation
Artificial Intelligence In Big Data Analytics And Iot market is split by Type and by Application. For the period 2020-2023, the growth among segments provides accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market Segmentation by Type:
Machine Learning
Deep Learning Platform
Voice Recognition
Artificial Neural Network
Others
Market Segmentation by Applications:
Smart Machine
Self-Driving Vehicle
Cyber Security Intelligence
Others
For more Customization in Artificial Intelligence In Big Data Analytics And Iot Market Report: https://www.alltheresearch.com/customization/83
Global Artificial Intelligence In Big Data Analytics And Iot Market: Regional Segmentation
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 & Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Impact of COVID-19 on Artificial Intelligence In Big Data Analytics And Iot Market:
The report also contains the effect of the ongoing worldwide pandemic, i.e., COVID-19, on the Artificial Intelligence In Big Data Analytics And Iot Market and what the future holds for it. It offers an analysis of the impacts of the epidemic on the international market. The epidemic has immediately interrupted the requirement and supply series. The Artificial Intelligence In Big Data Analytics And Iot Market report also assesses the economic effect on firms and monetary markets. Futuristic Reports has accumulated advice from several delegates of this business and has engaged from the secondary and primary research to extend the customers with strategies and data to combat industry struggles throughout and after the COVID-19 pandemic.
For More Details on Impact of COVID-19 on Artificial Intelligence In Big Data Analytics And Iot Market: https://www.alltheresearch.com/impactC19-request/83
Research Objective Artificial Intelligence In Big Data Analytics And Iot Market Research:
To analyze and forecast the market size of the global Artificial Intelligence In Big Data Analytics And Iot market.
To classify and forecast the global Artificial Intelligence In Big Data Analytics And Iot market based on the product, power type.
To identify drivers and challenges for the global Artificial Intelligence In Big Data Analytics And Iot market.
To examine competitive developments such as mergers & acquisitions, agreements, collaborations, and partnerships, etc., in the global Artificial Intelligence In Big Data Analytics And Iot market.
To conduct a pricing analysis for the global Artificial Intelligence In Big Data Analytics And Iot market.
To identify and analyze the profile of leading players operating in the global Artificial Intelligence In Big Data Analytics And Iot market.
The report is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers and partners, end-users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
Key target audience:
Raw material suppliers
Market research and consulting firms
Government bodies such as regulating authorities and policymakers
Organizations, forums, and alliances related to Artificial Intelligence In Big Data Analytics And Iot forums and alliances related to Artificial Intelligence In Big Data Analytics And Iot
Buy Full Report on Artificial Intelligence In Big Data Analytics And Iot Market @ https://www.alltheresearch.com/buy-now/83
About AllTheResearch:
AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference. While some clients were unhappy with the inconsistencies and inaccuracies of data, others expressed concerns over the experience in dealing with the research-firm. Also, same-data-for-all-business roles was making research redundant. We identified these gaps and built AllTheResearch to raise the standards of research support.
For All Your Research Needs, Reach Out to Us:
Contact Name: Rohan S.
Email: [email protected]
Phone: +1 (407) 768-2028
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Dec 8th, 2020 Canaan Mountain Herald All News Energy News Space All News Artificial Intelligence In Big Data Analytics And Iot Market Development Trends, Key Manufacturers Competitive Analysis 20202026 Bymangesh Dec 8, 2020 Artificial Intelligence In Big Data Analytics And Iot Industry, Artificial Intelligence In Big Data Analytics And Iot Market, Artificial Intelligence In Big Data Analytics And Iot Market Analysis, Artificial Intelligence In Big Data Analytics And Iot Market Demand, Artificial Intelligence In Big Data Analytics And Iot Market Size, Covid Impact Analysis Artificial Intelligence In Big Data Analytics And Iot market The Artificial Intelligence In Big Data Analytics And Iot Market report comprises competitive analysis focus key players participants ofArtificial Intelligence In Big Data Analytics And Iot Industrycovering indepth data related competitive landscape, positioning, company profiles, key strategies adopted, productprofiling focus market growth potential. In report, concise presentation included concerning product service. Moreover, trends affecting factors Artificial Intelligence In Big Data Analytics And Iot market. These variables helped decide behavior market forecast period empowered specialists effective precise predictions market future. The report covers forecast analysis theArtificial Intelligence In Big Data Analytics And Iot Market global regional level. The historic data given 20132019 estimated period 20202023 based revenue. TheArtificial Intelligence In Big Data Analytics And Iot market valued US XX Mn 2018 expected reach US XX Mn 2023, CAGR 29.9 20202023. Request Sample Copy Artificial Intelligence In Big Data Analytics And Iot Market Report @ Competitive Landscape Covered inArtificial Intelligence In Big Data Analytics And Iot MarketReport: This report includes study marketing development strategies, product portfolios leading companies. The Artificial Intelligence In Big Data Analytics And Iot market report elaborates insights Market Diversification Exhaustive information new products, untapped regions, recent developments, Competitive Assessment Indepth assessment market shares, strategies, products, manufacturing capabilities leading players Artificial Intelligence In Big Data Analytics And Iot market. Top playersCovered Artificial Intelligence In Big Data Analytics And Iot Market Study are: . Google . IBM Corporation Microsoft Corporation CISCO Systems . Intel Corporation Infineon Technologies AG NVIDIA Corporation Veros Systems . Apple . Artificial Intelligence In Big Data Analytics And Iot Market Segmentation Artificial Intelligence In Big Data Analytics And Iot market split Type Application. For period 20202023, growth segments provides accurate calculations forecasts sales Type Application terms volume value. This analysis help expand business targeting qualified niche markets. Market Segmentation Type: Machine Learning Deep Learning Platform Voice Recognition Artificial Neural Network Others Market Segmentation Applications: Smart Machine SelfDriving Vehicle Cyber Security Intelligence Others For Customization Artificial Intelligence In Big Data Analytics And Iot Market Report: Global Artificial Intelligence In Big Data Analytics And Iot Market: Regional Segmentation North AmericaUnited States, Canada, Mexico EuropeGermany, France, UK, Russia, Italy AsiaPacificChina, Japan, Korea, India, Southeast Asia South AmericaBrazil, Argentina, Colombia etc. Middle East AfricaSaudi Arabia, UAE, Egypt, Nigeria, South Africa Impact COVID19 Artificial Intelligence In Big Data Analytics And Iot Market: The report contains effect ongoing worldwide pandemic, i.e., COVID19, Artificial Intelligence In Big Data Analytics And Iot Market future holds it. It offers analysis impacts epidemic international market. The epidemic immediately interrupted requirement supply series. The Artificial Intelligence In Big Data Analytics And Iot Market report assesses economic effect firms monetary markets. Futuristic Reports accumulated advice delegates business engaged secondary primary research extend customers strategies data combat industry struggles COVID19 pandemic. For More Details Impact COVID19 Artificial Intelligence In Big Data Analytics And Iot Market: Research ObjectiveArtificial Intelligence In Big Data Analytics And Iot Market Research: To analyze forecast market size global Artificial Intelligence In Big Data Analytics And Iot market. To classify forecast global Artificial Intelligence In Big Data Analytics And Iot market based product, power type. To identify drivers challenges global Artificial Intelligence In Big Data Analytics And Iot market. To examine competitive developments mergers acquisitions, agreements, collaborations, partnerships, etc., global Artificial Intelligence In Big Data Analytics And Iot market. To conduct pricing analysis global Artificial Intelligence In Big Data Analytics And Iot market. To identify analyze profile leading players operating global Artificial Intelligence In Big Data Analytics And Iot market. The report useful providing answers critical questions important industry stakeholders manufacturers partners, endusers, etc., allowing strategizing investments capitalizing market opportunities. Key target audience: Raw material suppliers Market research consulting firms Government bodies regulating authorities policymakers Organizations, forums, alliances related Artificial Intelligence In Big Data Analytics And Iot forums alliances related Artificial Intelligence In Big Data Analytics And Iot Buy Full Report Artificial Intelligence In Big Data Analytics And Iot Market@ About AllTheResearch: AllTheResearch formed aim making market research significant tool managing breakthroughs industry. As leading market research provider, firm empowers global clients businesscritical research solutions. The outcome study numerous companies rely market research consulting data decisionmaking realise, sheer datapoints, right analysis creates difference. While clients unhappy inconsistencies inaccuracies data, expressed concerns experience dealing researchfirm. Also, samedataforallbusiness roles making research redundant. We identified gaps built AllTheResearch raise standards research support. For All Your Research Needs, Reach Out Us: Name: Rohan S. 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https://www.einpresswire.com/article/520373325/cloud-telecommunication-ai-market-2020-global-industry-analysis-by-key-players-segmentation-trends-forecast-by-2026 | 2020-06-26T00:00:00 | en | Cloud Telecommunication AI Market 2020- Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026 |
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Cloud Telecommunication AI Market 2020- Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026
News Provided By
Wise Guy Consultants Pvt. Ltd.
June 26, 2020, 11:18 GMT
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A new market study, titled “Cloud Telecommunication AI Market Upcoming Trends, Growth Drivers and Challenges” has been featured on WiseGuyReports.
PUNE, MAHARASTRA, INDIA, June 26, 2020 /EINPresswire.com/ -- Latest Market Analysis Research Report on “Cloud Telecommunication AI Market” has been added to Wise Guy Reports database.
Introduction “Global Cloud Telecommunication AI Market”The “Cloud Telecommunication AI” market report provides a broad market overview, comprising definitions, industry chain structure, applications, and classifications. It highlights an in-depth explanation of different market drivers, opportunities, threats, and restraints, along with a detailed scope of the market. Each segment has been meticulously studied based on the current and future trends as well as estimated based on the forecast period. Besides, every segment mentioned in the report is subject to full research throwing light on the CAGR, size of the Cloud Telecommunication AI market, growth potential, market share, and other crucial factors. It also sheds light on the various dynamics which are affecting the market. This report focuses on the global Cloud Telecommunication AI status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Cloud Telecommunication AI development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
@Get a Free Sample Report “Cloud Telecommunication AI Market” 2020 https://www.wiseguyreports.com/sample-request/5420890-covid-19-impact-on-global-cloud-telecommunication-aiIf you have any special requirements, please let us know and we will offer you the report as you want.
Key Players of Global Cloud Telecommunication AI Market =>• Sentient Technologies• H2O.ai• Cisco Systems• IBM• NVIDIA
Market segment by Type, the product can be split intoSolutionsServicesMarket segment by Application, split intoCustomer AnalyticsNetwork SecurityNetwork OptimizationSelf-diagnosticsOthers
Market segment by Regions/Countries, this report coversNorth AmericaEuropeChinaJapanSoutheast AsiaIndiaCentral & South America
The study objectives of this report are:To analyze global Cloud Telecommunication AI status, future forecast, growth opportunity, key market and key players.To present the Cloud Telecommunication AI development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by type, market and key regions.
In this study, the years considered to estimate the market size of Cloud Telecommunication AI are as follows:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year 2020 to 2026For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
@Ask Any Query on “Cloud Telecommunication AI Market” 2020 Size, Share, demand https://www.wiseguyreports.com/enquiry/5420890-covid-19-impact-on-global-cloud-telecommunication-aiFor more information or any query mail at [email protected]
Major Key Points of Global Cloud Telecommunication AI Market1 Report Overview2 Executive Summary3 Competition Landscape by Key Players4 Global Cloud Telecommunication AI Market Size by Type (2019-2026)5 Global Cloud Telecommunication AI Market Size by Application (2019-2026)6 North America7 Europe12 Central & South America13 Key Players Profiles14 Market Dynamics15 Key Findings in This Report
NOTE : Our team is studying Covid-19 and its impact on various industry verticals and wherever required we will be considering Covid-19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.
NORAH TRENT
WISE GUY RESEARCH CONSULTANTS PVT LTD
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| Cloud Telecommunication AI Market 2020- Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026 | Cloud Telecommunication AI Market 2020 Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026 About Why Us How It Works Testimonials Video Tutorials Editorial Guidelines FAQs PR Distribution Pricing Comparison Chart Distribution Overview U.S. TV Radio Stations EIN Microwires Mobile Apps Newswires All By Industry Agriculture Airline Automotive Banking Book Publishing Business Casinos Chemicals Companies Conferences Trade Shows Construction Consumer Cosmetics Education Electronics Emergency Services Energy Environment Food Furniture Healthcare Hobbies Human Rights IT Insurance International Organizations Law Lifestyle Manufacturing Media Military Mining Movie Music Natural Disasters Politics Religion Real Estate Retail Science Shipping Logistics Social Media Sports Technology Telecom Textiles Tobacco Travel U.S. Politics Waste Management World News By Country Afghanistan Alabama US Alaska US Albania Algeria Andorra Angola Argentina Arizona US Arkansas US Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi California US Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Colombia Colorado US Comoros CongoBrazzaville CongoKinshasa Connecticut US Costa Rica Croatia Cuba Cyprus Czech Republic Delaware US Denmark District Columbia US Djibouti Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Fiji Finland Florida US France Gabon Gambia Georgia Georgia US Germany Ghana Gibraltar Greece Guam Guatemala Guinea GuineaBissau Guyana Haiti Hawaii US Honduras Hong Kong Hungary Iceland Idaho US Illinois US India Indiana US Indonesia Iowa US Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kansas US Kazakhstan Kentucky US Kenya Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Louisiana US Luxembourg Madagascar Maine US Malawi Malaysia Mali Malta Maryland US Massachusetts US Mauritania Mauritius Mexico Michigan US Minnesota US Mississippi US Missouri US Moldova Monaco Mongolia Montana US Montenegro Morocco Mozambique Myanmar Namibia Nebraska US Nepal Netherlands Nevada US New Hampshire US New Jersey US New Mexico US New York US New Zealand Nicaragua Niger Nigeria North Carolina US North Dakota US North Korea North Macedonia Norway Ohio US Oklahoma US Oman Oregon US Pakistan Palestine Panama Papua New Guinea Paraguay Pennsylvania US Peru Philippines Poland Portugal Puerto Rico Qatar Reunion Rhode Island US Romania Russia Rwanda San Marino Sao Tome Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Somalia South Africa South Carolina US South Dakota US South Korea South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Tennessee US Texas US Thailand Togo Tunisia Turkey Turkmenistan Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Utah US Uzbekistan Vanuatu Vatican City Venezuela Vermont US Vietnam Virginia US Washington US West Virginia US Western Sahara Wisconsin US Wyoming US Yemen Zambia Zimbabwe By US State Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Press Releases All Featured By Industry By Country By US State Archive Resources World Media Directory US Media Directory Mobile App Affiliate Program RSS Feeds Email Newsletters News Alert Maker NewsPlugin Live Feed Questions? 1 202 3353939 Pricing Comparison Chart Log In Set Up FREE Account Submit Release News Cloud Telecommunication AI Market 2020 Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026 News Provided By Wise Guy Consultants Pvt. Ltd. June 26, 2020, 11:18 GMT Share This Article A new market study, titled Cloud Telecommunication AI Market Upcoming Trends, Growth Drivers Challenges featured WiseGuyReports. PUNE, MAHARASTRA, INDIA, June 26, 2020 Latest Market Analysis Research Report Cloud Telecommunication AI Market added Wise Guy Reports database. Introduction Global Cloud Telecommunication AI MarketThe Cloud Telecommunication AI market report provides broad market overview, comprising definitions, industry chain structure, applications, classifications. It highlights indepth explanation different market drivers, opportunities, threats, restraints, detailed scope market. Each segment meticulously studied based current future trends estimated based forecast period. Besides, segment mentioned report subject research throwing light CAGR, size Cloud Telecommunication AI market, growth potential, market share, crucial factors. It sheds light dynamics affecting market. This report focuses global Cloud Telecommunication AI status, future forecast, growth opportunity, key market key players. The study objectives present Cloud Telecommunication AI development North America, Europe, China, Japan, Southeast Asia, India Central South America. Free Sample Report Cloud Telecommunication AI Market 2020 special requirements, let know offer report want. Key Players Global Cloud Telecommunication AI Market => Sentient Technologies H2O.ai Cisco Systems IBM NVIDIA Market segment Type, product split intoSolutionsServicesMarket segment Application, split intoCustomer AnalyticsNetwork SecurityNetwork OptimizationSelfdiagnosticsOthers Market segment RegionsCountries, report coversNorth AmericaEuropeChinaJapanSoutheast AsiaIndiaCentral South America The study objectives report are:To analyze global Cloud Telecommunication AI status, future forecast, growth opportunity, key market key players.To present Cloud Telecommunication AI development North America, Europe, China, Japan, Southeast Asia, India Central South America.To strategically profile key players comprehensively analyze development plan strategies.To define, forecast market type, market key regions. In study, years considered estimate market size Cloud Telecommunication AI follows:History Year: 20152019Base Year: 2019Estimated Year: 2020Forecast Year 2020 2026For data information region, company, type application, 2019 considered base year. Whenever data information unavailable base year, prior year considered. Any Query Cloud Telecommunication AI Market 2020 Size, Share, demand information query mail sales Major Key Points Global Cloud Telecommunication AI Market1 Report Overview2 Executive Summary3 Competition Landscape Key Players4 Global Cloud Telecommunication AI Market Size Type 201920265 Global Cloud Telecommunication AI Market Size Application 201920266 North America7 Europe12 Central South America13 Key Players Profiles14 Market Dynamics15 Key Findings This Report NOTE : Our team studying Covid19 impact industry verticals required considering Covid19 footprints better analysis markets industries. Cordially touch details. NORAH TRENT WISE GUY RESEARCH CONSULTANTS PVT LTD 1 6468459349 email You read: Cloud Telecommunication AI Market 2020 Global Industry Analysis, By Key Players, Segmentation, Trends Forecast By 2026 News Provided By Wise Guy Consultants Pvt. Ltd. June 26, 2020, 11:18 GMT Share This Article Distribution channels: Business Economy, IT Industry, Media, Advertising PR, Technology, World Regional EIN Presswires priority source transparency. We allow opaque clients, editors try careful weeding false misleading content. As user, missed, bring attention. Your help welcome. EIN Presswire, Everyones Internet News Presswire, tries define boundaries reasonable todays world. Please Editorial Guidelines information. NORAH TRENT WISE GUY RESEARCH CONSULTANTS PVT LTD 1 6468459349 email Company Details Wise Guy Consultants Pvt. Ltd. Office No. 528, Amanora Chambers, Pune, 411028 India 1 646 8459349 442081339346 1 339 368 6938 Visit Newsroom About Wise Guy Reports Wise Guy Research Consultants Pvt. 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] | 1 | POSITIVE | 627 |
https://cheshire.media/uncategorised/709358/recovery-analysis-for-global-nasoenteric-feeding-tube-market-report-2020-fresenius-kabi-germany-halyard-health-us-nestle-switzerland-cook-medical-us-b-braun-germany-conmed-us-danone-france-med/ | 2020-12-14T00:00:00 | en | Recovery Analysis for Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US – Cheshire Media |
Recovery Analysis for Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US – Cheshire Media
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Recovery Analysis for Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US
Bymayank
Dec 14, 2020
We have recently published Following Report Edition with COVID-19 Impact Analysis included
1) Global Edition of Nasoenteric Feeding Tube Market Report 2020
2) Europe Edition of Nasoenteric Feeding Tube Market Report 2020
3) United States Edition of Nasoenteric Feeding Tube Market Report 2020
Global Coronavirus pandemic has impacted all industries across the globe Nasoenteric Feeding Tube market being no exception. As the Global economy heads towards major recession post-2009 crisis, Cognitive Market Research has published a recent study which meticulously studies the impact of this crisis on Global Nasoenteric Feeding Tube market and suggests possible measures to curtail them. This press release is a snapshot of the research study and further information can be gathered by accessing a complete report.To Contact Research experts Mail us @ [email protected] or call us on +1-312-376-8303.
Download Report Preview from here: https://www.cognitivemarketresearch.com/nasoenteric-feeding-tube-market-report
Market Overview:
Cognitive market research published a report of the Nasoenteric Feeding Tube market that includes an in-depth analysis of the business segments estimated to record a commendable annual growth rate over the period of time. It includes a precise evaluation of the dynamics related to this marketplace. The Nasoenteric Feeding Tube research report contains the overall market information like industry analysis, market size & share, forecast analysis, market drivers, market opportunities market restraints, region analysis, growth analysis, latest trends and Covid-19 impact analysis. The data present in the research report is represented in the form of graphs, tables and charts to have a detailed understanding of the entire market. Hence through a close study on all the functions, aspects and scenarios of the market & the industry, the Nasoenteric Feeding Tube research report has been compiled. Report has been segmented into Geographical Segmentation, Key players, Key Topics Industry Value and Demand Analysis and forecast and provides comprehensive investigation.
Download Free Report Preview from here: https://www.cognitivemarketresearch.com/nasoenteric-feeding-tube-market-report#request_sample
Product Type Analysis:
It provides detailed information about competitors, competitor’s activities, emerging trends, and customer experiences, which will help the enterprises to take business decisions over key competitors. This research will help you to introduce a new product in the market and also helps to investigate the behaviour of the target market. The report incorporates information about product type, data about the performance of the product, which is examined by the client according to the requirement.
Global Nasoenteric Feeding Tube Market Segmentation by Type:
Nasogastric Feeding Tubes, Nasojejunal Feeding Tubes, Nasoduodenal Feeding Tubes
Global Nasoenteric Feeding Tube Market Segmentation by Applications:
Oncology, Gastroenterology, Neurological Disorders, Diabetes, Hypermetabolism, Others
Major Market players of the Nasoenteric Feeding Tube market:
Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US
Each of the companies/key players consists of detailed information like: company introduction/overview (competitors, sales area, contact info, business segments and overall information), product portfolio, net sales & revenue, research & development costs, product specifications & information, latest news of the company, swot analysis and business strategy of the company is explained. And hence the entire information related to the company concerning the specific product and in-depth information of collaborations and all other essential information is mention in each of the key payer/company profiles is provided in the research report.
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—>
https://www.cognitivemarketresearch.com/nasoenteric-feeding-tube-market-report#download_report
Scope of the {keyword} :
The purpose of the Nasoenteric Feeding Tube Market report is to provide important information related to the industry deliverables such as market size, valuation forecast, sales volume, etc. Report provides in depth analysis in order to assist clients or enterprise for making strategic business decision, to increase presence of major players in the market. The report contains product description, benefits for the readers to leverage business opportunities and increase annual growth rate over a period of time.
Geographical Segmentation:
The report provides studies focused on analysis of the current performance of the key regional market’s geographies. Report has classification parameters on basis of a number of essential market parameters such as the manufacturing volume, production capacity, pricing strategy, the dynamics of market demand, supply, trade, return on investments, and the growth rate of the Nasoenteric Feeding Tube market in each of the regions
Global Nasoenteric Feeding Tube market report categorized the information and data according to the major geographical regions like,
• North America (U.S., Canada, Mexico)
• Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)
• Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)
• Latin America (Brazil, Rest of L.A.)
• Middle East and Africa (Turkey, GCC, Rest of Middle East)
Request Free Sample Copy of Nasoenteric Feeding Tube Market Research [email protected]
Market Dynamics:
The report highlights important industry trends and changing dynamics that affect the driver of the market. Report has detailed information about the emerging trends, beneficial for the enterprise and the reader for its business engagement. Report provides data on opportunities, restraints which are beneficial or impacting the market. Adoption of technological progression, which drives the growth of client’s business has been stated in the report. Report provides value chain analysis, key players competitive strategies to grow in the business and be at a competitive edge over other players. The research comprises primary information about the products. Report includes supply-demand statistics, and segments that constrain the growth of an industry. It also includes raw materials used and manufacturing process of Nasoenteric Feeding Tube market. Additionally, report provides market drivers and challenges & opportunities for overall market in the particular provincial sections.
COVID-19 impact analysis:
• The coronavirus pandemic has become a global outbreak and it affected the lives of people, businesses and every aspect of life excluding just a few sectors like: healthcare, food & beverage, dairy and other sectors that fall under the essential goods.
• COVID-19 is a global emergency, which led to economic downfall in all the sectors and the spread of virus across all regions have a negative impact on supply chain models formulated by the major players.
• The pandemic crisis brought hindrance to the growth of the market and it has affected major players. The report provides overall information about the impact of the pandemic on the Nasoenteric Feeding Tube in a positive or negative way. Moreover, the change in the trading policies due to COVID-19 has also been covered in depth.
Get Detailed information about Covid-19 Impact Analysis on the Nasoenteric Feeding Tube market
@https://www.cognitivemarketresearch.com/nasoenteric-feeding-tube-market-report#request_sample
About Us:
Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients. We focus on making sure that based on our reports, our clients are enabled to make most vital business decisions in easiest and yet effective way. Hence, we are committed to delivering them outcomes from market intelligence studies which are based on relevant and fact-based research across the global market.
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Email: href="mailto:[email protected]">[email protected]</a>
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| Recovery Analysis for Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US | Recovery Analysis Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US Cheshire Media Skip content Mon. Dec 14th, 2020 Cheshire Media All News Energy Finance Headline Health Safety Space All News Recovery Analysis Global Nasoenteric Feeding Tube Market Report 2020 Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US Bymayank Dec 14, 2020 We recently published Following Report Edition COVID19 Impact Analysis included 1 Global Edition Nasoenteric Feeding Tube Market Report 2020 2 Europe Edition Nasoenteric Feeding Tube Market Report 2020 3 United States Edition Nasoenteric Feeding Tube Market Report 2020 Global Coronavirus pandemic impacted industries globe Nasoenteric Feeding Tube market exception. As Global economy heads major recession post2009 crisis, Cognitive Market Research published recent study meticulously studies impact crisis Global Nasoenteric Feeding Tube market suggests possible measures curtail them. This press release snapshot research study information gathered accessing complete report.To Research experts Mail @ [emailprotected] 13123768303. Download Report Preview here: Market Overview: Cognitive market research published report Nasoenteric Feeding Tube market includes indepth analysis business segments estimated record commendable annual growth rate period time. It includes precise evaluation dynamics related marketplace. The Nasoenteric Feeding Tube research report contains overall market information like industry analysis, market size share, forecast analysis, market drivers, market opportunities market restraints, region analysis, growth analysis, latest trends Covid19 impact analysis. The data present research report represented form graphs, tables charts detailed understanding entire market. Hence close study functions, aspects scenarios market industry, Nasoenteric Feeding Tube research report compiled.Report segmented Geographical Segmentation, Key players, Key Topics Industry Value Demand Analysis forecast provides comprehensive investigation. Download Free Report Preview here: Product Type Analysis: It provides detailed information competitors, competitors activities, emerging trends, customer experiences, help enterprises business decisions key competitors. This research help introduce new product market helps investigate behaviour target market. The report incorporates information product type, data performance product, examined client according requirement. Global Nasoenteric Feeding Tube Market Segmentation Type: Nasogastric Feeding Tubes, Nasojejunal Feeding Tubes, Nasoduodenal Feeding Tubes Global Nasoenteric Feeding Tube Market Segmentation Applications: Oncology, Gastroenterology, Neurological Disorders, Diabetes, Hypermetabolism, Others Major Market players Nasoenteric Feeding Tube market: Fresenius Kabi Germany, Halyard Health US, Nestle Switzerland, Cook Medical US, B. Braun Germany, CONMED US, Danone France, Medtronic Ireland, Boston Corporation US, C. R. Bard US, Moog US, Abbott US, Vygon France, Applied Medical Technology US Each companieskey players consists detailed information like: company introductionoverview competitors, sales area, contact info, business segments overall information, product portfolio, net sales revenue, research development costs, product specifications information, latest news company, swot analysis business strategy company explained. And entire information related company concerning specific product indepth information collaborations essential information mention key payercompany profiles provided research report. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Scope keyword : The purpose Nasoenteric Feeding Tube Market report provide important information related industry deliverables market size, valuation forecast, sales volume, etc. Report provides depth analysis order assist clients enterprise making strategic business decision, increase presence major players market. The report contains product description, benefits readers leverage business opportunities increase annual growth rate period time. Geographical Segmentation: The report provides studies focused analysis current performance key regional markets geographies. Report classification parameters basis number essential market parameters manufacturing volume, production capacity, pricing strategy, dynamics market demand, supply, trade, return investments, growth rate Nasoenteric Feeding Tube market regions Global Nasoenteric Feeding Tube market report categorized information data according major geographical regions like, North America U.S., Canada, Mexico Europe U.K., France, Germany, Spain, Italy, Central Eastern Europe, CIS Asia Pacific China, Japan, South Korea, ASEAN, India, Rest Asia Pacific Latin America Brazil, Rest L.A. Middle East Africa Turkey, GCC, Rest Middle East Request Free Sample Copy Nasoenteric Feeding Tube Market Research [emailprotected] Market Dynamics: The report highlights important industry trends changing dynamics affect driver market. Report detailed information emerging trends, beneficial enterprise reader business engagement. Report provides data opportunities, restraints beneficial impacting market. Adoption technological progression, drives growth clients business stated report. Report provides value chain analysis, key players competitive strategies grow business competitive edge players. The research comprises primary information products. Report includes supplydemand statistics, segments constrain growth industry. It includes raw materials manufacturing process Nasoenteric Feeding Tube market. Additionally, report provides market drivers challenges opportunities overall market particular provincial sections. COVID19 impact analysis: The coronavirus pandemic global outbreak affected lives people, businesses aspect life excluding sectors like: healthcare, food beverage, dairy sectors fall essential goods. COVID19 global emergency, led economic downfall sectors spread virus regions negative impact supply chain models formulated major players. The pandemic crisis brought hindrance growth market affected major players. The report provides overall information impact pandemic Nasoenteric Feeding Tube positive negative way. Moreover, change trading policies COVID19 covered depth. Get Detailed information Covid19 Impact Analysis Nasoenteric Feeding Tube market : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. Us: 13123768303 Email: href=mailto:[emailprotected]>[emailprotected]<a> Web: DOWNLOAD FREE SAMPLE [emailprotected]: Post navigation Recovery Analysis Global Colored Quartz Tube Market Report 2020 Momentive, QSIL, Saint Gobain, Shin Etsu, Ohara, QSI, Atlantic Ultraviolet, TOSOH, Raesch, Pacific Quartz, Guolun Quartz, Dongxin Quartz, Fudong Lighting, Dong A Quartz, Yuandong Quartz, Zhuoyue Quartz, Lanno Quartz, Ruipu Quartz, Technical Glass Products . Recovery Analysis Global Optoelectronic Devices Market Report 2020 Osram, Nichia, Samsung, Lumileds, Cree, Seoul Semiconductor, Everlight, LG Innoteck, Epister, Liteon, Avago, Vishay, Fairchild, Renesas Electronics, MLS Lighting, IPG, Coherent, Jenoptik By mayank Related Post All News Recovery Analysis Global Nuclear Medicine Market Report 2020 Mallinckrodt, Medtronic, General Electric, GlaxoSmithKline, Cardinal Health, Lantheus Medical Imaging, IBA Dec 14, 2020 mayank All News Recovery Analysis Global Far Infrared Thermometers Market Report 2020 RAYTEK, FLUKE, Optris, OMEGA, General Tools, Land Instruments, Extech Instruments, Milwaukee, VICTOR, Klein Tools, Testo, Uni Trend, CHINO, Wanchuang, CEM Dec 14, 2020 mayank All News Recovery Analysis Global Brain Edema Treatment Market Report 2020 FibroGen , Pharmazz , Remedy Pharmaceuticals Dec 14, 2020 mayank Recent Posts Recovery Analysis Global Nuclear Medicine Market Report 2020 Mallinckrodt, Medtronic, General Electric, GlaxoSmithKline, Cardinal Health, Lantheus Medical Imaging, IBA Recovery Analysis Global Far Infrared Thermometers Market Report 2020 RAYTEK, FLUKE, Optris, OMEGA, General Tools, Land Instruments, Extech Instruments, Milwaukee, VICTOR, Klein Tools, Testo, Uni Trend, CHINO, Wanchuang, CEM Recovery Analysis Global Brain Edema Treatment Market Report 2020 FibroGen , Pharmazz , Remedy Pharmaceuticals Recovery Analysis Global Clinic Automatic Dental Autoclave Market Report 2020 Tuttnauer, WH Dentalwerk, Shinva, Melag, Getinge, Midmark, Sirona, Mocom, SciCan, Runyes Medical, Trident Dental, Jinggong medical Recovery Analysis Global Alkaline Batteries Market Report 2020 Panasonic, Sony, GP, Maxell, Energizer, Nanfu, Duracell, PKCELL, Camelion, EVEREADY You missed All News Recovery Analysis Global Nuclear Medicine Market Report 2020 Mallinckrodt, Medtronic, General Electric, GlaxoSmithKline, Cardinal Health, Lantheus Medical Imaging, IBA Dec 14, 2020 mayank All News Recovery Analysis Global Far Infrared Thermometers Market Report 2020 RAYTEK, FLUKE, Optris, OMEGA, General Tools, Land Instruments, Extech Instruments, Milwaukee, VICTOR, Klein Tools, Testo, Uni Trend, CHINO, Wanchuang, CEM Dec 14, 2020 mayank All News Recovery Analysis Global Brain Edema Treatment Market Report 2020 FibroGen , Pharmazz , Remedy Pharmaceuticals Dec 14, 2020 mayank All News Recovery Analysis Global Clinic Automatic Dental Autoclave Market Report 2020 Tuttnauer, WH Dentalwerk, Shinva, Melag, Getinge, Midmark, Sirona, Mocom, SciCan, Runyes Medical, Trident Dental, Jinggong medical Dec 14, 2020 mayank Cheshire Media Proudly powered WordPress Theme: Newsup Themeansar. 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https://nysenewstimes.com/data-analytics-market-2020-outlook-growth-trends-analysis-and-forecast-to-2025-alteryx-inc-looker-data-sciences-inc-ibm-corporation-and-others/ | 2020-03-04T00:00:00 | en | Data Analytics Market 2020 Outlook, Growth, Trends, Analysis and Forecast to 2025 – Alteryx Inc, Looker Data Sciences Inc., IBM Corporation and Others – Nyse News Times |
Data Analytics Market 2020 Outlook, Growth, Trends, Analysis and Forecast to 2025 – Alteryx Inc, Looker Data Sciences Inc., IBM Corporation and Others – Nyse News Times
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Data AnalyticsData Analytics market forecastData Analytics Market GrowthData Analytics market salesData Analytics Market ShareData Analytics market sizeData Analytics market.pdfglobal Data Analytics market trendsUS Data Analytics market
Data Analytics Market 2020-2025 report explains the competitive analysis of the highest leading key players with vital success factors. The Data Analytics report provides the historical development of the most important countries in each region, that permits the reader to form effective long-term investment decisions. The detailed perspective towards Data Analytics industry opportunities, restraints, drivers and recent trends affecting the market helps to expand effective industry strategies. The Data Analytics report inculcates the basics: definitions, classifications, applications and business chain overview; business policies and plans; product specifications; producing processes; value structures.
The Data Analytics market confines key topics creating it more helpful. The Data Analytics research report 2020 acknowledges the most recent business trends, market development aspects, gains, and business situation throughout the forecast to 2025. The report provides the main points associated with basic summary, developments, latest advancements, dominance and market dynamics. The categorization of such necessary characteristic of this Data Analytics report contains fierce information, company profile, country-wise regional perusal, and historical analysis of the leading players.
Detailed TOC along with also Charts & Tables of Data Analytics Market Research Report accessible at: https://www.futuristicreports.com/request-sample/57742
Top Leading Players Across the Globe:
Alteryx Inc, Looker Data Sciences Inc., IBM Corporation, Datameer Inc, SAS Institute Inc., Microsoft Corporation, Oracle Corporation, SAP SE, Amazon Web Services Inc., Dell Inc.
The report extends on including details regarding the supply and demand analysis, involvement by significant market players and market share growth of the business.
Global Data Analytics Market is abbreviated as Follows:-
By Types:
Cloud
On-Premise
By Applications:
BFSI
IT & Telecom
Manufacturing
Others
Geographically regions, such as North America, South America, Europe, China, Japan, India, The Middle East & Africa, Others.; offers segment research and export status and import status, production volume.
Get the Report at an Impressive Discount @ https://www.futuristicreports.com/check-discount/57742
What does the report Offer?
➜ Study on Key Trends: The section of the report offers a more in-depth analysis of the latest and futuristic trends of the Data Analytics market;
➜ Data Analytics Market Forecast: Consumers of the report can have access to correct and valid estimates of the size in terms of import and volume;
➜ Regional Growth Analysis: All significant regions and countries within the report. The Data Analytics regional analysis can facilitate market players to faucet into the unknown regional market, prepare strategic methods for targeted regions, and compare the expansion;
➜Segment Analysis: The report provides correct and reliable forecasts of the global Data Analytics market share of vital segments and companies will use this analysis to create strategic investments in key growth;
➜ Insights about the Data Analytics market size captured based on each product type segment, profit valuation, and production growth data is also added within the report.
➜ Recent development and expansion plans;
➜ The report evaluates the latest trends and the projects growth prospects for the industry;
➜ A precise summary of tendencies in marketing approach, market positioning, and marketing channel development is discussed in the report;
➜ Lucrative opportunities by breaking down complex market data into segments based on the global Data Analytics market;
The Data Analytics report includes an intensive pursuit of market drivers, restraints, threats, and opportunities. This report provides players with valuable data and suggests result-based concepts to administer them to a competitive advantage. The report uses different kinds of research for computing growth of the superior Data Analytics market leaders.
Key Questions in this report:
What will the global Data Analytics size be in 2025, and what will the growth rate be?
What are the key market trends?
What is driving this Data Analytics market?
What are the challenges to Data Analytics market growth?
What are the key factors of the market?
What are the market opportunities and threats faced by the key vendors?
What global Data Analytics analysis by application?
What factors restricting Data Analytics industry development?
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| Data Analytics Market 2020 Outlook, Growth, Trends, Analysis and Forecast to 2025 | Data Analytics Market 2020 Outlook, Growth, Trends, Analysis Forecast 2025 Alteryx , Looker Data Sciences ., IBM Corporation Others Nyse News Times Skip content Wednesday, March 04, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Data Analytics Market 2020 Outlook, Growth, Trends, Analysis Forecast 2025 Alteryx , Looker Data Sciences ., IBM Corporation Others mark.r March 4, 2020 No Comments Data AnalyticsData Analytics market forecastData Analytics Market GrowthData Analytics market salesData Analytics Market ShareData Analytics market sizeData Analytics market.pdfglobal Data Analytics market trendsUS Data Analytics market Data Analytics Market 20202025 report explains competitive analysis highest leading key players vital success factors. The Data Analytics report provides historical development important countries region, permits reader form effective longterm investment decisions. The detailed perspective Data Analytics industry opportunities, restraints, drivers recent trends affecting market helps expand effective industry strategies. The Data Analytics report inculcates basics: definitions, classifications, applications business chain overview; business policies plans; product specifications; producing processes; value structures. The Data Analytics market confines key topics creating helpful. The Data Analytics research report 2020 acknowledges recent business trends, market development aspects, gains, business situation forecast 2025. The report provides main points associated basic summary, developments, latest advancements, dominance market dynamics. The categorization necessary characteristic Data Analytics report contains fierce information, company profile, countrywise regional perusal, historical analysis leading players. Detailed TOC Charts Tables Data Analytics Market Research Report accessible at: Top Leading Players Across Globe: Alteryx , Looker Data Sciences ., IBM Corporation, Datameer , SAS Institute ., Microsoft Corporation, Oracle Corporation, SAP SE, Amazon Web Services ., Dell . The report extends including details supply demand analysis, involvement significant market players market share growth business. Global Data Analytics Market abbreviated Follows: By Types: Cloud OnPremise By Applications: BFSI IT Telecom Manufacturing Others Geographically regions, North America, South America, Europe, China, Japan, India, The Middle East Africa, Others.; offers segment research export status import status, production volume. Get Report Impressive Discount @ What report Offer? Study Key Trends: The section report offers indepth analysis latest futuristic trends Data Analytics market; Data Analytics Market Forecast: Consumers report access correct valid estimates size terms import volume; Regional Growth Analysis: All significant regions countries report. The Data Analytics regional analysis facilitate market players faucet unknown regional market, prepare strategic methods targeted regions, compare expansion; Segment Analysis: The report provides correct reliable forecasts global Data Analytics market share vital segments companies use analysis create strategic investments key growth; Insights Data Analytics market size captured based product type segment, profit valuation, production growth data added report. Recent development expansion plans; The report evaluates latest trends projects growth prospects industry; A precise summary tendencies marketing approach, market positioning, marketing channel development discussed report; Lucrative opportunities breaking complex market data segments based global Data Analytics market; The Data Analytics report includes intensive pursuit market drivers, restraints, threats, opportunities. This report provides players valuable data suggests resultbased concepts administer competitive advantage. The report uses different kinds research computing growth superior Data Analytics market leaders. Key Questions report: What global Data Analytics size 2025, growth rate be? What key market trends? What driving Data Analytics market? What challenges Data Analytics market growth? What key factors market? What market opportunities threats faced key vendors? What global Data Analytics analysis application? What factors restricting Data Analytics industry development? Regional Or Country Level Customization : Us: 2066 N. Capitol Ave, Suite 3041 City: San Jose, CA 95132 United States Ph. no.: 1 408 520 9037 Email: [emailprotected] Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Cloud Identity Access Management IAM Market 2020 Industry Analysis, Size, Types, Growth And Outlook 2026Next Next post: Foodservice Market Report 2020 Industry Analysis Trends, Growth Forecast 2026 Recent Posts Artificial Insemination Market Size 2019 Outlook, Opportunity, Demand Analysis Report 2025 3axis Vertical Machining Centers Market Have High Growth But May Foresee Even Higher Value 20202024 GFMS, Hermle, Alzmetall etc. Air Freshener Market Trends, Industry Growth, Opportunities, Size Estimation, Top Company Share, Regional Forecast 2025 Amino Acids MarketSize, Share, Growth, Challenges On Present State Future Growth Revenue Period 20192025 Architectural LED Products MarketSize, Share, Development, Growth Demand Forecast20192025 Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://venturebeat.com/2020/03/18/intel-debuts-pohoiki-springs-a-powerful-neuromorphic-research-system-for-ai-workloads/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-03-18T00:00:00 | en | Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads | VentureBeat |
Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads | VentureBeat
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Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads
Kyle Wiggers@Kyle_L_Wiggers March 18, 2020 7:25 AM
Loihi, Intel’s neuromorphic research chip.
Image Credit: Intel
This morning, Intel announced the general readiness of Pohoiki Springs, a powerful self-contained neuromorphic system that’s about the size of five standard servers. The company says the system will be available to members of the Intel Neuromorphic Research Community via the cloud using Intel’s Nx SDK and community-contributed software components, giving them a tool to scale up their neuromorphic research and explore ways to accelerate workloads that run slowly on today’s conventional architectures.
Intel claims Pohoiki Springs, which was announced in July 2019, is similar in neural capacity to the brain of a small mammal, with 768 Loihi chips and 100 million neurons spread across 24 Arria10 FPGA Nahuku expansion boards (containing 32 chips each) that operate at under 500 watts. This is ostensibly a step on the path to supporting larger and more sophisticated neuromorphic workloads. In fact, just this week, Intel demonstrated that the chips can be used to “teach” an AI model to distinguish among 10 different scents.
“Pohoiki Springs enables our research partners to explore ways to accelerate workloads that run slowly today on conventional architectures, including high-performance computing systems,” said Intel neuromorphic compute lab director Mike Davies in a statement.
Above: Pohoiki Springs, a datacenter rack-mounted system unveiled in March 2020, is Intel’s largest neuromorphic computing system developed to date.Image Credit: Intel
Neuromorphic engineering, also known as neuromorphic computing, describes the use of circuits that mimic the nervous system’s neuro-biological architectures. Researchers at Intel, IBM, HP, MIT, Purdue, Stanford, and others hope to leverage it to develop a supercomputer a thousand times more powerful than any today.
Intel cautions that neuromorphic systems like Pohoiki Springs are still in the research phase and are not intended to replace conventional computing systems. But Intel points out that they provide a tool for researchers to develop and characterize new neuro-inspired algorithms for real-time processing, problem-solving, adaptation, and learning.
For instance, preliminary research suggests that neuromorphic chips like Loihi excel at constraint satisfaction problems, which require evaluating a large number of potential solutions to identify the one or few that satisfy specific constraints. Neuromorphic systems have also been shown to rapidly identify the shortest paths in graphs and perform approximate image searches, as well as to mathematically optimize specific objectives over time in real-world optimization problems.
Loihi architecture
Intel’s 14-nanometer Loihi chip has a 60-millimeter die size and contains over 2 billion transistors, 130,000 artificial neurons, and 130 million synapses, as well as three managing Lakemont cores for orchestration. Uniquely, Loihi features a programmable microcode engine for on-chip training of asynchronous spiking neural networks (SNNs), or AI models that incorporate time into their operating model such that the components of the model don’t process input data simultaneously. Intel claims this will be used for the implementation of adaptive self-modifying, event-driven, and fine-grained parallel computations “with high efficiency.”
According to Intel, Loihi processes information up to 1,000 times faster and 10,000 more efficiently than traditional processors, and it can solve certain types of optimization problems with more than three orders of magnitude gains in speed and energy efficiency. Moreover, Loihi maintains real-time performance results and uses only 30% more power when scaled up 50 times (whereas traditional hardware uses 500% more power), and it consumes roughly 100 times less energy than widely used CPU-run simultaneous location and mapping methods.
Above: A closer look shows one of the rows within Intel’s latest neuromorphic research system, Pohoiki Springs.Image Credit: Intel
The Loihi development toolchain comprises the Loihi Python API, a compiler, and a set of runtime libraries for building and executing SNNs on Loihi. It provides a way to create a graph of neurons and synapses with custom configurations, such as decay time, synaptic weight, and spiking thresholds, and a means of simulating those graphs by injecting external spikes through custom learning rules.
The debut of Pohoiki Springs follows that of Intel’s smallest neuromorphic system, Kapoho Bay, which comprises two Loihi chips with 262,000 neurons and supports a variety of real-time edge workloads. Intel and INRC researchers have used it to recognize gestures in real time, read braille using novel artificial skin, orient direction using learned visual landmarks, and more while consuming only tens of milliwatts of power.
In July, Intel took the wraps off Pohoiki Beach, a 64-chip computer capable of simulating 8 million neurons in total. Like Pohoiki Springs, it was made available to research partners like Accenture to “advance the field” and scale up AI algorithms such as spare coding and path planning.
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| Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads | Intel debuts Pohoiki Springs, powerful neuromorphic research AI workloads VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Security Icon Helpful Links Got news tip? 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Intel claims Pohoiki Springs, announced July 2019, similar neural capacity brain small mammal, 768 Loihi chips 100 million neurons spread 24 Arria10 FPGA Nahuku expansion boards containing 32 chips operate 500 watts. This ostensibly step path supporting larger sophisticated neuromorphic workloads. In fact, week, Intel demonstrated chips teach AI model distinguish 10 different scents. Pohoiki Springs enables research partners explore ways accelerate workloads run slowly today conventional architectures, including highperformance computing systems, said Intel neuromorphic compute lab director Mike Davies statement. Above: Pohoiki Springs, datacenter rackmounted unveiled March 2020, Intels largest neuromorphic computing developed date.Image Credit: Intel Neuromorphic engineering, known neuromorphic computing, describes use circuits mimic nervous systems neurobiological architectures. Researchers Intel, IBM, HP, MIT, Purdue, Stanford, hope leverage develop supercomputer thousand times powerful today. Intel cautions neuromorphic systems like Pohoiki Springs research phase intended replace conventional computing systems. But Intel points provide tool researchers develop characterize new neuroinspired algorithms realtime processing, problemsolving, adaptation, learning. For instance, preliminary research suggests neuromorphic chips like Loihi excel constraint satisfaction problems, require evaluating large number potential solutions identify satisfy specific constraints. Neuromorphic systems shown rapidly identify shortest paths graphs perform approximate image searches, mathematically optimize specific objectives time realworld optimization problems. Loihi architecture Intels 14nanometer Loihi chip 60millimeter die size contains 2 billion transistors, 130,000 artificial neurons, 130 million synapses, managing Lakemont cores orchestration. Uniquely, Loihi features programmable microcode engine onchip training asynchronous spiking neural networks SNNs, AI models incorporate time operating model components model dont process input data simultaneously. Intel claims implementation adaptive selfmodifying, eventdriven, finegrained parallel computations high efficiency. According Intel, Loihi processes information 1,000 times faster 10,000 efficiently traditional processors, solve certain types optimization problems orders magnitude gains speed energy efficiency. Moreover, Loihi maintains realtime performance results uses 30 power scaled 50 times traditional hardware uses 500 power, consumes roughly 100 times energy widely CPUrun simultaneous location mapping methods. Above: A closer look shows rows Intels latest neuromorphic research system, Pohoiki Springs.Image Credit: Intel The Loihi development toolchain comprises Loihi Python API, compiler, set runtime libraries building executing SNNs Loihi. It provides way create graph neurons synapses custom configurations, decay time, synaptic weight, spiking thresholds, means simulating graphs injecting external spikes custom learning rules. The debut Pohoiki Springs follows Intels smallest neuromorphic system, Kapoho Bay, comprises Loihi chips 262,000 neurons supports variety realtime edge workloads. Intel INRC researchers recognize gestures real time, read braille novel artificial skin, orient direction learned visual landmarks, consuming tens milliwatts power. In July, Intel took wraps Pohoiki Beach, 64chip capable simulating 8 million neurons total. Like Pohoiki Springs, wasmade available research partners like Accenture advance field scale AI algorithms spare coding path planning. VB Transform The AI event business leaders San Francisco July 15 16 Learn More Most Read Apple debuts iPad Pro lidar scanner, Magic Keyboard trackpad Google Translate launches Transcribe Android 8 languages Remarkable announces new epaper tablet, starting 399 Smart ring startup Oura raises 28 million Googles Gradient Ventures, Square, Forerunner Ventures Nokia adds 5G worldwide IoT network, lets carriers test new sensors UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher. | 2,020 | [
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http://usweekly.com/news/19/9372/Nvidia-RTX-Noisedestroying-AI-put-to-the-test.html | 2020-05-09T00:00:00 | en | Nvidia RTX: Noise-destroying AI put to the test - USweekly |
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https://www.njmmanews.com/artificial-intelligence-in-telecommunication-market-size-and-share-analysis-to-2028/ | 2020-03-25T00:00:00 | en | Artificial Intelligence in Telecommunication Market Size and Share analysis to 2028 – NJ MMA News |
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Artificial Intelligence in Telecommunication Market Size and Share analysis to 2028
mohit
March 25, 2020
NEWS RELEASE
Coherent Market Insights broadcasted a new title “Artificial Intelligence in Telecommunication Market” in-depth assessment including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players such as Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, IBM Watson Health, NVIDIA, Enlitic, Inc., Google, Inc., Intel Corporation, Microsoft Corporation, and others.. The research study provides forecasts for Artificial Intelligence in Telecommunication Market investments till 2026.
Application Analysis: This report provides an advance approach to the market growth with a detailed analysis of the overall competitive scenario of the Artificial Intelligence in Telecommunication Market is segmented by Application such as Commercial Use & Industrial Use with historical and projected market share and compounded annual growth rate.
Industry Growth: An in-depth study about key trends and emerging drivers with market characteristics, size and growth, segmentation, regional breakdowns, competitive landscape, shares, trend and strategies for Artificial Intelligence in Telecommunication Market.
Competitive Analysis:The report aims to provide an overview of Artificial Intelligence in Telecommunication Market with detailed market segmentation. Also, it analyzes the current Artificial Intelligence in Telecommunication Market scenario and forecasts the market till 2026. The report covers market dynamics effecting the market during the forecast period. The report also provide PEST along with the SWOT analysis for all company profiled in the Artificial Intelligence in Telecommunication Market report.
Download PDF Brochure @ https://www.coherentmarketinsights.com/insight/request-pdf/1120
Key Highlights of the Artificial Intelligence in Telecommunication Market :• Conceptual analysis of the Artificial Intelligence in Telecommunication Market products, application wise segmented study. • Clear study and pin-point analysis for changing competitive dynamics • Analysis of major regional segmentation on the basis of how the market is predicted to grow
*Customized Section/Chapter wise Reports or Regional or Country wise Chapters are also available.
There are several chapters to show the global Artificial Intelligence in Telecommunication market, some of them as follow
Chapter 1, Definition, specifications and classification of Artificial Intelligence in Telecommunication, applications of Artificial Intelligence in Telecommunication, market segment by region;
Chapter 2, Structure of production costs, raw materials and suppliers, Production process, Structure of the industrial chain;
Chapter 3, Technical data and analysis of the production facilities of Artificial Intelligence in Telecommunication, capacity and date of commercial production, distribution of production facilities, research and development status and technological source, analysis of raw material sources;
Chapter 4, General market analysis, Capacity analysis (business segment), Sales analysis (business segment), Sales price analysis (business segment);
Get Sample copy Report @ https://www.coherentmarketinsights.com/insight/request-sample/1120
Chapter 5 and 6, Analysis of the regional market including the United States, China, Europe, Japan, Korea and Taiwan, Market analysis of the Artificial Intelligence in Telecommunication segment (by type);
Chapter 7 and 8, Market analysis of the Artificial Intelligence in Telecommunication segment (by application) Analysis of the main manufacturers of Artificial Intelligence in Telecommunication;
Chapter 9, Analysis of market trends, Regional market trends, Market trends by product type Natural preservative, Chemical preservative, Market trend by application;
Chapter 10, Analysis of the type of regional marketing, Analysis of the type of international trade, Analysis of the supply chain;
Chapter 11, The Consumers Analysis of Global Artificial Intelligence in Telecommunication;
Chapter 12, Results and conclusions of the research Artificial Intelligence in Telecommunication, Appendix, methodology and data source;
Chapter 13, 14 and 15, Artificial Intelligence in Telecommunication sales channel, distributors, merchants, retailers, research results and conclusions, appendix and data source.
The leading players ar that focus on technological advancements to spice up product quality. the longer term development for this market could also be earned by continued the continued method enhancements, demand generation, creating the technology cheap and finance within the most effective industrial practices.
The report takes varied factors in account, to succeed in on results that are supported intensive analysis of past trends, market behavior, trade performance, client behavior, technological developments, government expenditure in R&D and uses completely different methodologies to make a completely new set of trade based mostly study on the market.
On Special Request we do offer a dedicated and focus report on regional or by country level scope.
(use FIRSTTIMECMI code in Precise Requirement to request FLAT 1000 USD OFF on current Price):Get Exclusive Discount on Latest Study @ https://www.coherentmarketinsights.com/insight/request-discount/1120
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
About Coherent Market Insights:
Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity.
Contact Us:
Name: Mr. Raj Shah Phone: US +12067016702 / UK +4402081334027 Email: [email protected] Visit Our Blogs: https://blog.coherentmarketinsights.com
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| Artificial Intelligence in Telecommunication Market Size and Share analysis to 2028 | Artificial Intelligence Telecommunication Market Size Share analysis 2028 NJ MMA News Wednesday, March 25 2020 Trending Fermented Beverages Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Modular Brake System Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Cashew Nuts Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Automotive Drive Recorder Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Driving Recorder Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Automotive Rear View System Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Ceramic Nanocomposites Market InDepth Summary, Growth Factors, Regional analysis Forecast Outlook 20192025 Italian researchers government: Let swabs, control Covid19 epidemic Coronavirus, according WHO, pandemic accelerating globally Gianni Rezza, epidemiologist: Simultaneous lockdowns Europe affected coronavirus effective NJ MMA News Business Health Science Technology World HomeTechnologyArtificial Intelligence Telecommunication Market Size Share analysis 2028 Technology Artificial Intelligence Telecommunication Market Size Share analysis 2028 mohit March 25, 2020 NEWS RELEASE Coherent Market Insights broadcasted new title Artificial Intelligence TelecommunicationMarket indepth assessment including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, key company profiles strategies players Atomwise, ., Lifegraph, Sense.ly, ., Zebra Medical Vision, ., Baidu, ., H2O ai, IBM Watson Health, NVIDIA, Enlitic, ., Google, ., Intel Corporation, Microsoft Corporation, others.. The research study provides forecasts Artificial Intelligence TelecommunicationMarket investments till 2026. Application Analysis: This report provides advance approach market growth detailed analysis overall competitive scenario Artificial Intelligence Telecommunication Market segmented Application Commercial Use Industrial Use historical projected market share compounded annual growth rate. Industry Growth: An indepth study key trends emerging drivers market characteristics, size growth, segmentation, regional breakdowns, competitive landscape, shares, trend strategies Artificial Intelligence Telecommunication Market. Competitive Analysis:The report aims provide overview Artificial Intelligence TelecommunicationMarket detailed market segmentation. Also, analyzes current Artificial Intelligence Telecommunication Market scenario forecasts market till 2026. The report covers market dynamics effecting market forecast period. The report provide PEST SWOT analysis company profiled Artificial Intelligence TelecommunicationMarket report. Download PDF Brochure @ Key Highlights Artificial Intelligence Telecommunication Market : Conceptual analysis Artificial Intelligence Telecommunication Market products, application wise segmented study. Clear study pinpoint analysis changing competitive dynamics Analysis major regional segmentation basis market predicted grow Customized SectionChapter wise Reports Regional Country wise Chapters available. There chapters global Artificial Intelligence Telecommunication market, follow Chapter 1,Definition, specifications classification Artificial Intelligence Telecommunication, applications Artificial Intelligence Telecommunication, market segment region; Chapter 2,Structure production costs, raw materials suppliers, Production process, Structure industrial chain; Chapter 3,Technical data analysis production facilities Artificial Intelligence Telecommunication, capacity date commercial production, distribution production facilities, research development status technological source, analysis raw material sources; Chapter 4,General market analysis, Capacity analysis business segment, Sales analysis business segment, Sales price analysis business segment; Get Sample copy Report @ Chapter 5 6,Analysis regional market including United States, China, Europe, Japan, Korea Taiwan, Market analysis Artificial Intelligence Telecommunication segment type; Chapter 7 8,Market analysis Artificial Intelligence Telecommunication segment application Analysis main manufacturers Artificial Intelligence Telecommunication; Chapter 9,Analysis market trends, Regional market trends, Market trends product type Natural preservative, Chemical preservative, Market trend application; Chapter 10,Analysis type regional marketing, Analysis type international trade, Analysis supply chain; Chapter 11,The Consumers Analysis Global Artificial Intelligence Telecommunication; Chapter 12,Results conclusions research Artificial Intelligence Telecommunication, Appendix, methodology data source; Chapter 13, 14 15,Artificial Intelligence Telecommunication sales channel, distributors, merchants, retailers, research results conclusions, appendix data source. The leading players ar thatfocus ontechnological advancementsto spice upproduct quality.the longer termdevelopment marketcould beearned continued continued method enhancements, demand generation, creating technology cheap finance withinthe effectiveindustrial practices. The report takesvariedfactors account, succeed inon results thatare supportedintensiveanalysisof past trends, market behavior,tradeperformance,clientbehavior, technological developments, government expenditure RD usescompletely differentmethodologies tomakea completelynew set tradebased mostlystudy market. On Special Request offer dedicated focus report regional country level scope. useFIRSTTIMECMIcode Precise Requirement requestFLAT 1000 USD OFFon current Price:Get Exclusive Discount Latest Study @ Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. About Coherent Market Insights: Coherent Market Insights prominent market research consulting firm offering actionready syndicated research reports, custom market analysis, consulting services, competitive analysis recommendations related emerging market trends, technologies, potential absolute dollar opportunity. Us: Name: Mr. Raj Shah Phone: US 12067016702 UK 4402081334027 Email: sales Visit Our Blogs: TagsArtificial Intelligence Telecommunication Artificial Intelligence Telecommunication Analysis Artificial Intelligence Telecommunication Market Artificial Intelligence Telecommunication size Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print mohit Related Articles January 22, 2020 5 Norway Construction Infrastructure Market 2020 Size, Share, Outlook Growth Opportunities 2026 January 28, 2020 12 Vehicle Analytics Market Thriving Worldwide : IBM,HARMAN International, Genetec, INRIX, WEX , Noregon February 3, 2020 7 Lamp Shades Market Size, Share Trend Industry Analysis Report, 2025 January 31, 2020 0 Global Coolant Temperature Sensors Market 20172026 Ford, Delphi, Standard, Motor Products, Bosch Check Also Close Business Prescriptive analysis Commercial Gym Equipment market 2020 Witness Highest Growth near Future significant trends 2020 Life Fitness, Precor, Matrix Fitness, Cybex, Promaxima March 19, 2020 Ads Recent News Cell Line Development Market 2020: Technological Advancements, Current Future Scenario Of The Market March 25, 2020 Viral Conjunctivitis Drugs Market Poised Garner Maximum Revenues During 2020 2026 March 25, 2020 Degenerative Disc Disease Treatment Market 2026 Investment Analysis To Obtain The Exact Specification On Future Growth March 25, 2020 Swine Respiratory Disease Treatment Market Driver, Trends, Applications Business Strategy Forecast 2026 March 25, 2020 Medical Ceramics Market 20202026 Technology, Type Application Analysis By Coherent Market Insights March 25, 2020 AntiVenom Market Growing Steady CAGR 2026 March 25, 2020 Laboratory Centrifuge Equipment Market Poised Achieve Significant Growth Years Come March 25, 2020 Gaucher Disease Treatment Market With Top 20 Countries data, Production, Sales, Consumption Comparison Analysis forecast 2026 March 25, 2020 Ventilators Market: Moving Toward 2026 With New Procedures Predictions March 25, 2020 Contrast MediaContrast Agent Market Professional Inspection Report 20202026 March 25, 2020 Allergic Rhinitis Drugs Market 2020 Scope Current Future Industry 2026 March 25, 2020 Urinary Catheters Market Outlook Till, 2026 : Coherent Market Insights March 25, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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] | 1 | NEGATIVE | 632 |
https://www.thestreet.com/press-releases/ezra-receives-fda-clearance-for-prostate-cancer-artificial-intelligence-15465028 | 2020-10-20T00:00:00 | en | Ezra Receives FDA Clearance For Prostate Cancer Artificial Intelligence - TheStreet |
Ezra Receives FDA Clearance For Prostate Cancer Artificial Intelligence - TheStreetLog 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
Ezra Receives FDA Clearance For Prostate Cancer Artificial IntelligenceEzra's Prostate AI is the first to ever by cleared by the FDAAuthor:PR NewswirePublish date:Oct 20, 2020 9:00 AM EDT NEW YORK, Oct. 20, 2020 /PRNewswire/ -- Ezra, the NY-based startup transforming early cancer screening using MRI, announced today that it has received FDA 510(k) premarket authorization for its Artificial Intelligence, designed to decrease the cost of MRI-based cancer screening, assisting radiologists in their analysis of prostate MRI scans. It is the first Prostate AI to ever be cleared by the FDA.
Due to the increased efficiency that Prostate AI will generate for partner radiologists, Ezra is decreasing the price of the Ezra Prostate Scan by 15%, to $575.
"Over the past two years, our team has worked tirelessly on building Ezra's Prostate AI and I'm thrilled to bring it to our imaging partners across the US," said Emi Gal, CEO and co-founder of Ezra. "We will continue to work towards making the interpretation of prostate MRI scans faster and more affordable, in order to support the millions of men who are at risk of prostate cancer."
The Ezra AI achieves three important goals:
Accurate prostate volume measurements. Accurate prostate volume is critical to diagnosis because the size of the prostate is often an indication of potential disease.
Semi-automatic lesion measurements.Under current processes, if a lesion is identified in the prostate, a radiologist has to manually measure the size of the lesion, and grade it using the PI-RADS methodology. The Ezra Prostate AI automatically measures the size of a lesion saving time and minimizing patient worry.
Automatic prostate and lesion segmentation and 3D volume representation.Should a lesion require a biopsy, the Ezra Prostate AI automatically segments the prostate gland and the lesion for the radiologist for greater accuracy and precision.
To integrate Prostate AI into radiology workflows, Ezra has also obtained FDA clearance for Plexo, a cloud-based PACS (Picture Archiving and Communications System) that works directly in the browser. This means that radiologists can now log onto the Ezra platform and use the AI without the need to install any software.
"Ezra is at the forefront of MRI-based cancer screening, and the company's 510k FDA clearance for its Prostate interpretation AI is further validation of its innovation capabilities," said Lawrence Tanenbaum, M.D., FACR, Vice president and CTO, Director of MRI, CT and Advanced Imaging at RadNet.
Ezra launched its MRI-based prostate cancer screening program in January 2019, and rolled out its full-body MRI scan in May 2019. Ezra partners with existing outpatient imaging facilities, and all Ezra scans are analyzed by board-certified radiologists. The company's cancer screening programs are live in New York City, San Francisco, and Los Angeles through its partnership with RadNet, Inc., the nation's leader in outpatient imaging. In 2019, Ezra helped 4% of its members - all of whom were asymptomatic - detect cancer.
In June, the company announced Ezra COVID 360, a low-dose CT scan of the lungs to look for damage caused by COVID-19, paired with an antibody blood test to check for igG and igM antibodies. The new plan is designed for individuals who want to understand the potential long-term impact of COVID-19 on their lung health and check their antibody status. Ezra COVID 360 is currently available for $390 in New York and California.
About Ezra
Ezra is a healthcare technology company utilizing medical imaging and Artificial Intelligence to provide individuals with full-body cancer screening that is fast, accurate, and affordable. By advocating for early cancer detection as part of annual health screenings, Ezra is on a mission to create a new standard of preventative care, providing people with the necessary knowledge to make decisions about their health. Ezra is headquartered in New York, with R&D operations in Toronto. The company's cancer screening services are available in New York, San Francisco, and Los Angeles.
For more information and to sign up for an Ezra membership, please visit ezra.com . For press images, screenshots, and other visual assets, please visit our Dropbox .
Contact: [email protected]
View original content to download multimedia: http://www.prnewswire.com/news-releases/ezra-receives-fda-clearance-for-prostate-cancer-artificial-intelligence-301155708.html
SOURCE Ezra By PR NewswireTerms Of UsePrivacy PolicyAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions© 2020 TheStreet, Inc. All rights reserved. Action Alerts PLUS is a registered trademark of TheStreet, Inc. | Ezra Receives FDA Clearance For Prostate Cancer Artificial Intelligence | Ezra Receives FDA Clearance For Prostate Cancer Artificial Intelligence TheStreetLog 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 Ezra Receives FDA Clearance For Prostate Cancer Artificial IntelligenceEzras Prostate AI cleared FDAAuthor:PR NewswirePublish date:Oct 20, 2020 9:00 AM EDT NEW YORK, Oct.20, 2020 PRNewswire Ezra, NYbased startup transforming early cancer screening MRI, announced today hasreceived FDA 510k premarket authorization Artificial Intelligence, designed decrease cost MRIbased cancer screening, assisting radiologists analysis prostate MRI scans. It Prostate AI cleared FDA. Due increased efficiency Prostate AI generate partner radiologists, Ezra decreasing price Ezra Prostate Scan 15, 575. Over past years, team worked tirelessly building Ezras Prostate AIand Im thrilled bring imaging partners US, said Emi Gal, CEO cofounder Ezra. We continue work making interpretation prostate MRI scans faster affordable, order support millions men risk prostate cancer. The Ezra AI achieves important goals: Accurate prostate volume measurements. Accurate prostate volume critical diagnosis size prostate indication potential disease. Semiautomatic lesion measurements.Under current processes, lesion identified prostate, radiologist manually measure size lesion, grade PIRADS methodology. The Ezra Prostate AI automatically measures size lesion saving time minimizing patient worry. Automatic prostate lesion segmentation 3D volume representation.Should lesion require biopsy, Ezra Prostate AI automatically segments prostate gland lesion radiologist greater accuracy precision. To integrate Prostate AI radiology workflows, Ezra obtained FDA clearance Plexo, cloudbased PACS Picture Archiving Communications System works directly browser. This means radiologists log Ezra platform use AI need install software. Ezra forefront MRIbased cancer screening, companys 510k FDA clearance Prostate interpretation AI validation innovation capabilities, said Lawrence Tanenbaum, M.D., FACR, Vice president CTO, Director MRI, CT Advanced Imaging RadNet. Ezra launched MRIbased prostate cancer screening program January 2019, rolled fullbody MRI scan May 2019. Ezra partners existing outpatient imaging facilities, Ezra scans analyzed boardcertified radiologists. The companys cancer screening programs live New York City, San Francisco, Los Angeles partnership RadNet, ., nations leader outpatient imaging. In 2019, Ezra helped 4 members asymptomatic detect cancer. In June, company announced Ezra COVID 360, lowdose CT scan lungs look damage caused COVID19, paired antibody blood test check igG igM antibodies. The new plan designed individuals want understand potential longterm impact COVID19 lung health check antibody status. Ezra COVID 360 currently available 390 New York California. About Ezra Ezra healthcare technology company utilizing medical imaging Artificial Intelligence provide individuals fullbody cancer screening fast, accurate, affordable. By advocating early cancer detection annual health screenings, Ezra mission create new standard preventative care, providing people necessary knowledge decisions health. Ezra headquartered New York, RD operations Toronto. The companys cancer screening services available New York, San Francisco, Los Angeles. For information sign Ezra membership, visit . For press images, screenshots, visual assets, visit Dropbox . : ezra View original content download multimedia: SOURCE Ezra By PR NewswireTerms Of UseAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions 2020 TheStreet, . . Action Alerts PLUS registered trademark TheStreet, . | 2,020 | [
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] | 1 | NEGATIVE | 633 |
https://monroescoop.com/market/342011/global-artificial-intelligence-ai-in-automotive-market-is-accounted-for-xx-usd-million-in-2019-and-is-expected-to-reach-xx-usd-million-by-2025-growing-at-a-cagr-of-xx-alphabet-google-ibm-intel/ | 2020-03-26T00:00:00 | en | Global Artificial Intelligence (AI) in Automotive Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Alphabet (Google), IBM, Intel, Samsung, Microsoft, etc. – Monroe Scoop |
Global Artificial Intelligence (AI) in Automotive Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Alphabet (Google), IBM, Intel, Samsung, Microsoft, etc. – Monroe Scoop
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Global Artificial Intelligence (AI) in Automotive Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Alphabet (Google), IBM, Intel, Samsung, Microsoft, etc.
March 26, 2020 Anita
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| Global Artificial Intelligence (AI) in Automotive Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Alphabet (Google), IBM, Intel, Samsung, Microsoft, etc. | Global Artificial Intelligence AI Automotive Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Alphabet Google, IBM, Intel, Samsung, Microsoft, etc. Monroe Scoop Skip content Thursday, March 26, 2020 Us Monroe Scoop Industry Analytics Market News Global News Industry Reports Market Report Analysis Forecast Business Opportunity Consumption Status Emerging Trends Future Demands Growth Prospects Market Study Opportunities Forecast You hereHomeMarketGlobal Artificial Intelligence AI Automotive Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Alphabet Google, IBM, Intel, Samsung, Microsoft, etc. Market Global Artificial Intelligence AI Automotive Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Alphabet Google, IBM, Intel, Samsung, Microsoft, etc. March 26, 2020 Anita The Global Artificial Intelligence AI Automotive market report offers complete overview aspects. 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Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Ammonium Ferric Citrate Market Highlighting Regional Revenue Share Dominance During 20192025Global Cyber Security Robotic Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : McAfee, Aujas Cybersecurity, TUV Rheinland, Trojan Horse Security, Beyond Security, etc. Related posts Moisture Sensors Market Size Estimation, Industry Demand, Growth Trend, Chain Structure, Analysis Supply Demand Forecast 2025 March 26, 2020 Regal IntelligenceIndustry Growth, industry trends, Market Outlook, Market Parameters, Market Research Report, Market Segmentation, Market Share, Market Size, Moisture Sensors, Moisture Sensors Consumption, Moisture Sensors Industry, Moisture Sensors Manufacturers, Moisture Sensors Market, Moisture Sensors Market Growth, Moisture Sensors Market Report, Moisture Sensors Market Trends, Regal Intelligence Moisture Sensors Market Premium Insight The global Moisture Sensors Market influenced strategic factors... 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Leave Comment Cancel reply Recent Posts Global Cyber Security Robotic Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : McAfee, Aujas Cybersecurity, TUV Rheinland, Trojan Horse Security, Beyond Security, etc. Global Artificial Intelligence AI Automotive Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Alphabet Google, IBM, Intel, Samsung, Microsoft, etc. Ammonium Ferric Citrate Market Highlighting Regional Revenue Share Dominance During 20192025 Global Urban Planning Design Software Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : SketchUp, ESRI, Bentley, Holistic City, Lumion, etc. Moisture Sensors Market Size Estimation, Industry Demand, Growth Trend, Chain Structure, Analysis Supply Demand Forecast 2025 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes | 2,020 | [
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] | 1 | NEGATIVE | 634 |
https://germanyenglishnews.com/german-news/2020/04/20/latest-news-2020-global-ai-in-pharmaceutical-market-will-emerge-globally-and-grow-with-23-1-of-cagr-by-2026-know-the-impact-analysis-of-corona-virus-covid19/ | 2020-04-20T00:00:00 | en | Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19 – Germany English News |
Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19 – Germany English News
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You are hereHomeGerman News2020April20Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19
Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19
April 20, 2020April 20, 2020 javed AI in Pharmaceutical, Global AI in Pharmaceutical Industry, Global AI in Pharmaceutical Industry Growth, Global AI in Pharmaceutical Manufacturers, Global AI in Pharmaceutical Market, Global AI in Pharmaceutical Market Analysis, Global AI in Pharmaceutical Market Forecast, Global AI in Pharmaceutical Market Trends
According to AllTheResearch’s analysis, The Global AI in Pharmaceutical Market Ecosystem growing at a CAGR of 23.1% by 2026.
The ripple effect of Coronavirus-COVID19 on the AI in Pharmaceutical Market Ecosystem needs to become part of strategy discussions to emerge strong. The need for next-gen technologies like AI to deal with COVID-19 could be one of the most important milestones in the AI ecosystem. From last, 4-month utilization of AI is assisting global institutes for early warning and alerts, tracking and prediction, data dashboards and early diagnosis. Applications or use cases of AI vary from each node of the ecosystem, various technologies from this Umbrella Technology are contributing to prevent and predict this pandemic. Naturally, by the end of 2021 penetration AI in Public Safety, Healthcare and the related sector is expected to increase at least 3 times.
Download Sample PDF of COVID-19 ToC to understand the impact and be smart in redefining business strategies.
https://www.alltheresearch.com/impactC19-request/368
AI-Enabled Smart Trackers are expected to grow at the fastest pace during the forecast period. The AI-Enabled wearable helps users track their fitness activities as well as provide guidance for food intake. Healthcare is the sector where AI-enabled wearable devices are in large demand. These wearables collect health-related data in order to monitor and provide health related awareness to the users as well as the physicians. Moreover, wearable devices for blind people for detecting obstacles on their path have also been gaining traction in recent days.
AI in Pharmaceutical Market Ecosystem Segmentation:
Major players operating in the space of AI in Pharmaceutical Market are engaged in both organic and inorganic strategies such as merger & acquisitions, joint ventures & partnerships, expansions, and product development, among others,
The major players operating in the global AI in Pharmaceutical Market Ecosystem are as follows: Google LLC, Intel Corporation, Sanofi, Eli Lilly and Company, IBM Corporation and more…
By Application: Smartphones and Tablets, Wearables, Workstation Systems, Medical Devices, Autonomous Robots, Imaging Systems, Others.
Download Exclusive Free Sample PDF with Top Companies Market Positioning Data
https://www.alltheresearch.com/sample-request/368
AI IN PHARMACEUTICAL MARKET ECOSYSTEM – BASED ON REGIONS:
Based on regions, North America dominated the market in 2018 and is expected to show similar trends in the coming years. Higher capita income of consumers is one the reasons behind the market growth of AI-enabled smart trackers in the region. The presence of major players such as Apple, Xiaomi, Google, and others, is also one of the important factors in driving market growth. Asia Pacific is expected to grow at the fastest pace with a CAGR of XX% during the forecast period. Increasing health-related concerns among the people in the region are driving the AI in smart tracker market in the region. At the same time, high adoption rate of smart wearables among customers in the age group of 16 to 34 years is expected to drive the AI in Pharmaceutical market in the APAC region in the coming years
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https://www.alltheresearch.com/speak-to-analyst/368
Table of Content:
Ecosystem Report – Table of Content
Introduction
Global AI in Pharmaceutical Market Ecosystem Definition
Scope of study
Executive Summary
Global Market Segmentation
AI in Pharmaceutical Market Ecosystem Positioning
Global AI in Pharmaceutical Market Ecosystem Snapshot
Global AI in Pharmaceutical Market Ecosystem Segmentation
By Component
AI in Pharmaceutical Market Ecosystem Sizing, Volume, and ASP Analysis & Forecast
Global AI in Pharmaceutical Market Ecosystem Sizing & Volume
Cross-segmentation
And More…
View Complete Report with Different Company Profiles
https://www.alltheresearch.com/report/368/ai-in-pharmaceutical-ecosystem-market
AllTheResearch
Contact Person: Rohit B.
Tel: 1-888-691-6870
Email: [email protected]
Author Recent Posts javed Latest posts by javed (see all) Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Know the Impact Analysis of Corona-virus/COVID19 - April 20, 2020 Global AI Enabled Smart Trackers Market will Register a 20% CAGR During Period 2020-2026 | Know Which Companies Could Potentially Benefit or Loose out From the Impact of COVID-19 - April 20, 2020 Global AI in Hospital Management Industry: Know the Impact of COVID19 on Global Global AI in Hospital Management Market | Market to Grow at a CAGR of 26.2% by 2026 - April 20, 2020
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| Latest News 2020: Global AI in Pharmaceutical Market Will Emerge Globally And Grow With 23.1% of CAGR by 2026 | Latest News 2020: Global AI Pharmaceutical Market Will Emerge Globally And Grow With 23.1 CAGR 2026 Know Impact Analysis CoronavirusCOVID19 Germany English News Skip content Monday, April 20, 2020 Home Us Our Journalists Germany English News Space, Satellite Market Reports German News News Space Satellites Crypto Technology Electric Market Report Us You hereHomeGerman News2020April20Latest News 2020: Global AI Pharmaceutical Market Will Emerge Globally And Grow With 23.1 CAGR 2026 Know Impact Analysis CoronavirusCOVID19 Latest News 2020: Global AI Pharmaceutical Market Will Emerge Globally And Grow With 23.1 CAGR 2026 Know Impact Analysis CoronavirusCOVID19 April 20, 2020April 20, 2020 javed AI Pharmaceutical, Global AI Pharmaceutical Industry, Global AI Pharmaceutical Industry Growth, Global AI Pharmaceutical Manufacturers, Global AI Pharmaceutical Market, Global AI Pharmaceutical Market Analysis, Global AI Pharmaceutical Market Forecast, Global AI Pharmaceutical Market Trends According AllTheResearchs analysis, The Global AI Pharmaceutical Market Ecosystem growing CAGR 23.1 2026. The ripple effect CoronavirusCOVID19 AI Pharmaceutical Market Ecosystem needs strategy discussions emerge strong. The need nextgen technologies like AI deal COVID19 important milestones AI ecosystem. From last, 4month utilization AI assisting global institutes early warning alerts, tracking prediction, data dashboards early diagnosis. Applications use cases AI vary node ecosystem, technologies Umbrella Technology contributing prevent predict pandemic. Naturally, end 2021 penetration AI Public Safety, Healthcare related sector expected increase 3 times. Download Sample PDF COVID19 ToC understand impact smart redefining business strategies. AIEnabled Smart Trackers expected grow fastest pace forecast period. The AIEnabled wearable helps users track fitness activities provide guidance food intake. Healthcare sector AIenabled wearable devices large demand. These wearables collect healthrelated data order monitor provide health related awareness users physicians. Moreover, wearable devices blind people detecting obstacles path gaining traction recent days. AI Pharmaceutical Market Ecosystem Segmentation: Major players operating space AI Pharmaceutical Market engaged organic inorganic strategies merger acquisitions, joint ventures partnerships, expansions, product development, others, The major players operating global AI Pharmaceutical Market Ecosystem follows: Google LLC, Intel Corporation, Sanofi, Eli Lilly Company, IBM Corporation By Application: Smartphones Tablets, Wearables, Workstation Systems, Medical Devices, Autonomous Robots, Imaging Systems, Others. Download Exclusive Free Sample PDF Top Companies Market Positioning Data AI IN PHARMACEUTICAL MARKET ECOSYSTEM BASED ON REGIONS: Based regions, North America dominated market 2018 expected similar trends coming years. Higher capita income consumers reasons market growth AIenabled smart trackers region. The presence major players Apple, Xiaomi, Google, others, important factors driving market growth. Asia Pacific expected grow fastest pace CAGR XX forecast period. reasing healthrelated concerns people region driving AI smart tracker market region. At time, high adoption rate smart wearables customers age group 16 34 years expected drive AI Pharmaceutical market APAC region coming years Ask You Queries Get 30 Min Free Analyst Call Table Content: Ecosystem Report Table Content Introduction Global AI Pharmaceutical Market Ecosystem Definition Scope study Executive Summary Global Market Segmentation AI Pharmaceutical Market Ecosystem Positioning Global AI Pharmaceutical Market Ecosystem Snapshot Global AI Pharmaceutical Market Ecosystem Segmentation By Component AI Pharmaceutical Market Ecosystem Sizing, Volume, ASP Analysis Forecast Global AI Pharmaceutical Market Ecosystem Sizing Volume Crosssegmentation And More View Complete Report Different Company Profiles AllTheResearch Person: Rohit B. Tel: 18886916870 Email: [emailprotected] Author Recent Posts javed Latest posts javed Latest News 2020: Global AI Pharmaceutical Market Will Emerge Globally And Grow With 23.1 CAGR 2026 Know Impact Analysis CoronavirusCOVID19 April 20, 2020 Global AI Enabled Smart Trackers Market 20 CAGR During Period 20202026 Know Which Companies Could Potentially Benefit Loose From Impact COVID19 April 20, 2020 Global AI Hospital Management Industry: Know Impact COVID19 Global Global AI Hospital Management Market Market Grow CAGR 26.2 2026 April 20, 2020 Post navigation User Activity MonitoringUAM Market Global Production, Growth, Share, Demand Applications Forecast 2025Handheld Pyrometer Market Trends, Key Players, Overview, Competitive Breakdown Regional Forecast 2025 Related posts Plastic Cabinet Market Ecosystem Growth Analysis Challenges Keter, Suncast, AkroMils, Hallowell, More April 20, 2020 Inside Market Reports Plastic Cabinet market research report provides details Industry Chain structure, Market Competition, Market Size... Market ReportNewsTechnology Commercial Vehicle OffHighway Radar Market 2027: Some Basic Influencing Factors Making Its Booming Industry April 20, 2020 [emailprotected]Commercial Vehicle, Commercial Vehicle OffHighway Radar, Commercial Vehicle OffHighway Radar Market, Off Highway Radar According Market Study Report, Commercial Vehicle OffHighway Radar Market provides comprehensive analysis of... Global Graphene Magnetic Memory Market strong growth Market opportunities forecasts period April 20, 2020 husaingarnerinsights, Graphene Magnetic MemoryIndustry Analysis, Graphene Magnetic MemoryManufacturers, Graphene Magnetic Memory Market, Graphene Magnetic MemoryMarket analysis, Graphene Magnetic Memory Market Growth, Graphene Magnetic MemoryMarket Report, Graphene Magnetic MemoryMarket Research Report, Graphene Magnetic Memory Market Trends Market Synopsis : The study Graphene Magnetic Memory Market attempts provide significant and... Recent Posts Plastic Cabinet Market Ecosystem Growth Analysis Challenges Keter, Suncast, AkroMils, Hallowell, More Commercial Vehicle OffHighway Radar Market 2027: Some Basic Influencing Factors Making Its Booming Industry Global Graphene Magnetic Memory Market strong growth Market opportunities forecasts period Automotive Augmented Reality HUD Industry Market Stand Out Biggest Contributor Global Growth 2025 Precast Concrete Construction Industry Market Size, Share, Growth, Key Trends Forecast To 2025 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes | 2,020 | [
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] | 1 | POSITIVE | 635 |
https://www.finanznachrichten.de/nachrichten-2020-03/49043753-nec-and-siemens-partner-to-provide-ai-monitoring-and-analysis-solution-to-accelerate-digitization-in-manufacturing-011.htm | 2020-03-09T00:00:00 | en | NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in Manufacturing | NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in ManufacturingAnzeige❌Mehr »LoginStartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hoc-MitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur- und WirtschaftsnewsMarktberichteEmpfehlungsübersichtAlle AktienempfehlungenChartanalysenIPO-NewsTermineThemen-DossiersIndizesÜbersicht nach Indizes/MärktenDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtMedienMedienübersichtArchivErweiterte SucheAktienkurseAktienkurseRealtime-Aktienkursliste (L&S)Online-Broker-VergleichXETRA-OrderbuchÜbersichtXETRA-Orderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtBau / InfrastrukurBekleidung / TextilBiotechnologieChemieDienstleistungenEisen / StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetränke/TabakHalbleiterHandelHardwareHolz / PapierImmobilienInternetIT-DienstleistungenKonsumgüterKosmetikKunststoffeLogistik / TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel / AgrarNetzwerktechnikÖl/GasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowährungenWatchlistWatchlist anlegenWas bringt eine Nachrichten-Watchlist?Montag, 09.03.2020 Börsentäglich
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MedienErweiterteSucheIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Aktien»Nachrichten»SIEMENS AKTIE»NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in ManufacturingFN als StartseiteSIEMENS AGWKN: 723610 ISIN: DE0007236101 Ticker-Symbol: SIE Xetra06.03.2017:35 Uhr87,16 Euro-2,92-3,24 %NachrichtenAnalysenKurseChartXetra-OrderbuchBrancheElektrotechnologieAktienmarktDAX-30EURO STOXX 50Prime StandardSTOXX Europe 50DAX International 1001-Jahres-Chart 5-Tage-Chart RealtimeGeldBriefZeit79,9280,0709:0580,3080,3709:05JCN Newswire09.03.2020 | 08:1773 LeserArtikel bewerten:(0)NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in Manufacturing- Enhance the operations of factory systems, plant equipment and product quality -TOKYO, Mar 9, 2020 - (JCN Newswire) - NEC Corporation today announced a collaboration with Siemens in the IoT field to provide a monitoring and analysis solution for manufacturing that connects MindSphere, the cloud-based, open Internet of Things (IoT) operating system from Siemens, and NEC's System Invariant Analysis Technology (SIAT). As part of the agreement, NEC is joining the MindSphere Partner Program, which can provide NEC with access to specialized technical training and support from Siemens as well as a number of joint go-to-market capabilities.Visualization and analysisIn recent years, with the acceleration of digitization and the spread of IoT, the safety, efficiency, maintenance and product quality of systems are being visualized and analyzed based on data collected from a large number of sensors installed in various locations, such as plant systems, manufacturing lines and factories. However, it is necessary to systemize data collection, storage, monitoring, analysis and other processes in order to utilize sensor data. Moreover, unique know-how, such as knowledge about IoT systems and data analysis, is required to construct such a system, making it difficult for customers to construct by themselves.In addition, especially in the manufacturing industry, work processes are often based on the expertise of each plant or individual. Therefore, the loss of know-how due to the retirement of skilled personnel and lack of staff poses a serious challenge.In order to solve these issues, NEC and Siemens have enhanced their products to enable greater visualization and analysis of sensor data.System Invariant Analysis Technology, part of NEC's cutting-edge portfolio of AI technologies, "NEC the WISE", is being used to automatically learn and model the behavior of systems based on data gathered from a large number of sensors installed in large-scale, complex systems. This provides visualization of systems and how they operate, in addition to enabling systems to operate safely and efficiently by proactively detecting errors using analytical models. NEC has already installed approximately 100 such systems internationally.MindSphere is the cloud-based, open IoT operating system from Siemens that connects products, plants, systems, and machines, enabling companies to harness the wealth of data generated by the IoT with advanced analytics. The MindSphere Partner Program is Siemens' partner program for industrial IoT solution and technology providers.This collaboration enables both companies to provide total data collection, storage, monitoring and analysis, including customization according to customer needs. Specifically, MindSphere is being used to collect and accumulate field sensor data and NEC's System Invariant Analysis Technology system automatically monitors and analyzes the data. This solution will first be offered as a cloud solution for the manufacturing industry, then applied to factory systems, manufacturing lines, plant facilities and other equipment, as well as products that are produced using this equipment. This makes it easy to visualize and analyze vast amounts of sensor data, thereby contributing to increased productivity, reduced operational risk, product quality and the preservation of know-how.The companies plan to target customers in manufacturing industries internationally, then expand to customers in other industries."It is an honor to collaborate with Siemens to enhance the productivity of the manufacturing industry through System Invariant Analysis Technology," said Osamu Fujikawa, Senior Vice President, NEC Corporation. "NEC will accelerate the digitization of enterprises through the provision of solutions worldwide that leverage both companies' strengths. NEC will continue to address diversifying needs by fusing real and digital technologies as well as by leveraging advanced technologies such as AI and IoT," he added."Siemens is committed to creating partnerships that help customers realize digital transformation with Industrial IoT. Working with NEC can help provide MindSphere applications that improve customers' ability to add value to their digital transformation initiatives," said Kunihiko Horita, Japan Country Manager, Siemens Digital Industries Software.About NEC CorporationNEC Corporation is a leader in the integration of IT and network technologies that benefit businesses and people around the world. The NEC Group globally provides "Solutions for Society" that promote the safety, security, efficiency and equality of society. Under the company's corporate message of "Orchestrating a brighter world," NEC aims to help solve a wide range of challenging issues and to create new social value for the changing world of tomorrow. For more information, visit NEC at https://www.nec.com.Source: NEC CorporationCopyright 2020 JCN Newswire . All rights reserved.SIEMENS-Aktie jetzt für 4€ handeln - auf Smartbroker.de© 2020 JCN NewswireNachrichten zu NEC CORPORATIONZeitAktuelle Nachrichten08:17NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in Manufacturing- Enhance the operations of factory systems, plant equipment and product quality -TOKYO, Mar 9, 2020 - (JCN Newswire) - NEC Corporation today announced a collaboration with Siemens in the IoT field...► Artikel lesenDoNetcracker and Google Cloud Announce Strategic Partnership to Help Telcos Modernize Business and Operational Systems Netcracker Deploys its Digital BSS/OSS Suite on Google Cloud to Help Service Providers Accelerate Innovation While Lowering Costs
Netcracker Technology announced today the deployment of its entire...► Artikel lesenDoNEC Wins Multiple iF DESIGN AWARDsTOKYO, Mar 5, 2020 - (JCN Newswire) - NEC Corporation (TSE: 6701) today announced that its designs for "Smart Airport" and "NEC Walking Analysis Technology" were named winners of this year's iF DESIGN...► Artikel lesenMiNEC Successfully Demonstrates 10Gbps Outdoor Transmission in the 150GHz-band- Increasing communication data capacity for the 5G era and beyond -TOKYO, Mar 4, 2020 - (JCN Newswire) - NEC Corporation (NEC) announced today the successful demonstration of bidirectional 10Gbps outdoor...► Artikel lesen28.02.NEC's Unified Communications Platform "UNIVERGE SV Series" Reaches 500,000 ShipmentsTOKYO, Feb 28, 2020 - (JCN Newswire) - NEC Corporation (TSE: 6701), a leader in the integration of IT and network technologies, today announced that its acclaimed "UNIVERGE SV9000 Series" of communications...► Artikel lesenNachrichten zu SIEMENS AGZeitAktuelle Nachrichten08:17NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in Manufacturing- Enhance the operations of factory systems, plant equipment and product quality -TOKYO, Mar 9, 2020 - (JCN Newswire) - NEC Corporation today announced a collaboration with Siemens in the IoT field...► Artikel lesenSoPörner übernimmt Geschäftsbereich Wasser von Siemens ÖsterreichSaEin DAX-ETF ist jetzt die bessere Wahl als Einzelwerte wie Allianz, Continental oder SiemensNormalerweise tendiere ich dazu, primär in Einzelwerte zu investieren und ETFs, Anlagezertifikate und aktiv gemanagte Fonds höchstens als Beimischung zu berücksichtigen. Aktuell spricht jedoch einiges...► Artikel lesenFrDie Aktie von Siemens heute schwach: Kurs rutscht deutlich ab!Am deutschen Aktienmarkt fällt aktuell die Siemens-Aktie negativ auf. Der Titel verbilligt sich am Freitag deutlich. Ein Minus von 3,05 Prozent zeigt die Kurstafel für der Anteilsschein von Siemens...► Artikel lesenFrANALYSE: Commerzbank stampft wegen Corona Erwartungen im Industriesektor einFRANKFURT (dpa-AFX) - Im Schnitt um neun Prozent kappt die Commerzbank wegen der Coronaviruskrise die operativen Gewinnschätzungen für den Industriesektor . Am stärksten betroffen von einem schwachen...► Artikel lesenFirmen im Artikel5-Tage-ChartNEC Unternehmen / AktienKurs%NEC CORPORATION32,000-7,51 %SIEMENS AG87,16-3,24 %Sie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.611.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetra-OrderbuchAd hoc-MitteilungenNachrichten BörsenAktien-EmpfehlungenBranchenMedienNachrichten-ArchivRSS-News von FinanzNachrichten.dePresseImpressum | AGB | Disclaimer | DatenschutzMediadaten | NEC and Siemens Partner to Provide AI Monitoring and Analysis Solution to Accelerate Digitization in Manufacturing | NEC Siemens Partner Provide AI Monitoring Analysis Solution Accelerate Digitization ManufacturingAnzeigeMehr StartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hocMitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur und WirtschaftsnewsMarktberichteEmpfehlungsbersichtAlle AktienempfehlungenChartanalysenIPONewsTermineThemenDossiersIndizesbersicht nach IndizesMrktenDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtMedienMedienbersichtArchivErweiterte SucheAktienkurseAktienkurseRealtimeAktienkursliste LSOnlineBrokerVergleichXETRAOrderbuchbersichtXETRAOrderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtBau InfrastrukurBekleidung TextilBiotechnologieChemieDienstleistungenEisen StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetrnkeTabakHalbleiterHandelHardwareHolz PapierImmobilienInternetITDienstleistungenKonsumgterKosmetikKunststoffeLogistik TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel AgrarNetzwerktechniklGasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowhrungenWatchlistWatchlist anlegenWas bringt eine NachrichtenWatchlist?Montag, 09.03.2020 Brsentglich ber 12.000 News von 618 internationalen MedienErweiterteSucheIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:AktienNachrichtenSIEMENS AKTIENEC Siemens Partner Provide AI Monitoring Analysis Solution Accelerate Digitization ManufacturingFN als StartseiteSIEMENS AGWKN: 723610ISIN: DE0007236101TickerSymbol: SIEXetra06.03.2017:35Uhr87,16Euro2,923,24 NachrichtenAnalysenKurseChartXetraOrderbuchBrancheElektrotechnologieAktienmarktDAX30EURO STOXX 50Prime StandardSTOXX Europe 50DAX International 1001JahresChart 5TageChart RealtimeGeldBriefZeit79,9280,0709:0580,3080,3709:05JCN Newswire09.03.2020 08:1773 LeserArtikel bewerten:0NEC Siemens Partner Provide AI Monitoring Analysis Solution Accelerate Digitization Manufacturing Enhance operations factory systems, plant equipment product quality TOKYO, Mar 9, 2020 JCN Newswire NEC Corporation today announced collaboration Siemens IoT field provide monitoring analysis solution manufacturing connects MindSphere, cloudbased, open Internet Things IoT operating Siemens, NECs System Invariant Analysis Technology SIAT. As agreement, NEC joining MindSphere Partner Program, provide NEC access specialized technical training support Siemens number joint gotomarket capabilities.Visualization analysisIn recent years, acceleration digitization spread IoT, safety, efficiency, maintenance product quality systems visualized analyzed based data collected large number sensors installed locations, plant systems, manufacturing lines factories. However, necessary systemize data collection, storage, monitoring, analysis processes order utilize sensor data. Moreover, unique knowhow, knowledge IoT systems data analysis, required construct system, making difficult customers construct themselves.In addition, especially manufacturing industry, work processes based expertise plant individual. Therefore, loss knowhow retirement skilled personnel lack staff poses challenge.In order solve issues, NEC Siemens enhanced products enable greater visualization analysis sensor data.System Invariant Analysis Technology, NECs cuttingedge portfolio AI technologies, NEC WISE, automatically learn model behavior systems based data gathered large number sensors installed largescale, complex systems. This provides visualization systems operate, addition enabling systems operate safely efficiently proactively detecting errors analytical models. NEC installed approximately 100 systems internationally.MindSphere cloudbased, open IoT operating Siemens connects products, plants, systems, machines, enabling companies harness wealth data generated IoT advanced analytics. The MindSphere Partner Program Siemens partner program industrial IoT solution technology providers.This collaboration enables companies provide total data collection, storage, monitoring analysis, including customization according customer needs. Specifically, MindSphere collect accumulate field sensor data NECs System Invariant Analysis Technology automatically monitors analyzes data. This solution offered cloud solution manufacturing industry, applied factory systems, manufacturing lines, plant facilities equipment, products produced equipment. This makes easy visualize analyze vast amounts sensor data, contributing increased productivity, reduced operational risk, product quality preservation knowhow.The companies plan target customers manufacturing industries internationally, expand customers industries.It honor collaborate Siemens enhance productivity manufacturing industry System Invariant Analysis Technology, said Osamu Fujikawa, Senior Vice President, NEC Corporation. NEC accelerate digitization enterprises provision solutions worldwide leverage companies strengths. NEC continue address diversifying needs fusing real digital technologies leveraging advanced technologies AI IoT, added.Siemens committed creating partnerships help customers realize digital transformation Industrial IoT. Working NEC help provide MindSphere applications improve customers ability add value digital transformation initiatives, said Kunihiko Horita, Japan Country Manager, Siemens Digital Industries Software.About NEC CorporationNEC Corporation leader integration IT network technologies benefit businesses people world. The NEC Group globally provides Solutions Society promote safety, security, efficiency equality society. Under companys corporate message Orchestrating brighter world, NEC aims help solve wide range challenging issues create new social value changing world tomorrow. For information, visit NEC NEC Corporation 2020 JCN Newswire . .SIEMENSAktie jetzt fr 4 handeln auf Smartbroker.de2020JCN NewswireNachrichten zu NEC CORPORATIONZeitAktuelle Nachrichten08:17NEC Siemens Partner Provide AI Monitoring Analysis Solution Accelerate Digitization Manufacturing Enhance operations factory systems, plant equipment product quality TOKYO, Mar 9, 2020 JCN Newswire NEC Corporation today announced collaboration Siemens IoT field... Artikel lesenDoNetcracker Google Cloud Announce Strategic Partnership Help Telcos Modernize Business Operational Systems Netcracker Deploys Digital BSSOSS Suite Google Cloud Help Service Providers Accelerate Innovation While Lowering Costs Netcracker Technology announced today deployment entire... Artikel lesenDoNEC Wins Multiple iF DESIGN AWARDsTOKYO, Mar 5, 2020 JCN Newswire NEC Corporation TSE: 6701 today announced designs Smart Airport NEC Walking Analysis Technology named winners years iF DESIGN... Artikel lesenMiNEC Successfully Demonstrates 10Gbps Outdoor Transmission 150GHzband reasing communication data capacity 5G era TOKYO, Mar 4, 2020 JCN Newswire NEC Corporation NEC announced today successful demonstration bidirectional 10Gbps outdoor... Artikel lesen28.02.NECs Unified Communications Platform UNIVERGE SV Series Reaches 500,000 ShipmentsTOKYO, Feb 28, 2020 JCN Newswire NEC Corporation TSE: 6701, leader integration IT network technologies, today announced acclaimed UNIVERGE SV9000 Series communications... Artikel lesenNachrichten zu SIEMENS AGZeitAktuelle Nachrichten08:17NEC Siemens Partner Provide AI Monitoring Analysis Solution Accelerate Digitization Manufacturing Enhance operations factory systems, plant equipment product quality TOKYO, Mar 9, 2020 JCN Newswire NEC Corporation today announced collaboration Siemens IoT field... Artikel lesenSoPrner bernimmt Geschftsbereich Wasser von Siemens sterreichSaEin DAXETF ist jetzt die bessere Wahl als Einzelwerte wie Allianz, Continental oder SiemensNormalerweise tendiere ich dazu, primr Einzelwerte zu investieren und ETFs, Anlagezertifikate und aktiv gemanagte Fonds hchstens als Beimischung zu bercksichtigen. Aktuell spricht jedoch einiges... Artikel lesenFrDie Aktie von Siemens heute schwach: Kurs rutscht deutlich abAm deutschen Aktienmarkt fllt aktuell die SiemensAktie negativ auf. Der Titel verbilligt sich Freitag deutlich. Ein Minus von 3,05 Prozent zeigt die Kurstafel fr der Anteilsschein von Siemens... Artikel lesenFrANALYSE: Commerzbank stampft wegen Corona Erwartungen im Industriesektor einFRANKFURT dpaAFX Im Schnitt um neun Prozent kappt die Commerzbank wegen der Coronaviruskrise die operativen Gewinnschtzungen fr den Industriesektor . Am strksten betroffen von einem schwachen... Artikel lesenFirmen im Artikel5TageChartNEC Unternehmen AktienKursNEC CORPORATION32,0007,51SIEMENS AG87,163,24Sie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.611.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetraOrderbuchAd hocMitteilungenNachrichten BrsenAktienEmpfehlungenBranchenMedienNachrichtenArchivRSSNews von FinanzNachrichten.dePresseImpressum AGB Disclaimer DatenschutzMediadaten | 2,020 | [
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https://www.malaymail.com/news/eat-drink/2020/05/20/cmco-delivery-order-ai-jiak-penang-food-to-get-your-fix-of-penang-homespun/1867861 | 2020-05-20T00:00:00 | en | CMCO delivery: Order Ai Jiak Penang Food to get your fix of Penang homespun favourites | Eat/Drink | Malay Mail |
CMCO delivery: Order Ai Jiak Penang Food to get your fix of Penang homespun favourites | Eat/Drink | Malay Mail
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CMCO delivery: Order Ai Jiak Penang Food to get your fix of Penang homespun favourites
Wednesday, 20 May 2020 08:59 AM MYT
By Lee Khang Yi
Your meal at home during this CMCO just became better with 'petai' prawns, vinegared pork trotters, 'ju hu char' and 'lorbak'. — Pictures by Lee Khang Yi
PETALING JAYA, May 20 — When I heard that Ai Jiak Penang Food had reopened, I immediately placed my order.
I've been craving for that taste of Penang in the form of ju hu char, lorbak, belacan chicken wings and petai prawns. Even the fact that I had vinegared pork trotters a day before didn't deter me and I ordered Ai Jiak's version too.
After two meals (lunch and dinner), my tummy is satisfied.
Ai Jiak Penang Food is not known to many since they just started in February this year.
For those in the know, it is run by Choo Choon Keong and Kuek Chian Kiong who started their famed restaurant about six years ago inside the Chung Ling Alumni Club in PJ.
For this outlet at PJ's Sea Park area, they had partnered with Eddie Long.
Kuek is a talent in the kitchen. Even though he isn't a true blue Penang lang as he is from Johor, he has tasted the food there for over 10 years and can easily recreate the same taste.
He works in tandem with Choo, a Penang boy. Previously in advertising, Choo provides the bridge to those dishes as he sources for the right ingredients needed to make them.
Choo's maternal family, who are Hainanese, used to be in the restaurant business in Penang.
The 'ju hu char' has thin, crispy dried squid, thinly sliced shiitake mushrooms, carrots. Pair it with lettuce leaves and an addictive 'sambal belacan'.
Similar to nasi lemak, everyone has an opinion about what they consider the best Penang and Nyonya food. As every family has their own version of dishes, there will be, of course, differences to taste or appearance of the dishes.
Nevertheless, the restaurant in Chung Ling Alumni Club has proven to be popular with members and many non-member diners as they appreciate that old school taste.
Originally, Ai Jiak served a different menu from the restaurant in Chung Ling Alumni Club. With the lockdown restrictions, the club has temporarily closed the restaurant.
Hence, Choo decided to reopen Ai Jiak to offer their popular items. Currently they're serving a temporary menu which is a small selection of their bestsellers.
You can order perut ikan, ju hu char, assam fish, vinegar pork trotters, lorbak, belacan chicken wings, chicken curry, babi pongteh and petai prawns. As the menu may change depending on availability of ingredients, it is best to just call to confirm.
Their 'lorbak' is filled with tender meat flavoured with a milder tasting five spice powder sourced from Penang (left). Can you smell the 'belacan'? The fermented shrimp paste lends an appetising taste to these fried chicken wings (right).
When it comes to ju hu char, it's extremely hard to get a good version in restaurants here. Most times, it's more like a stir fried yam bean dish, as eateries omit the essential ingredients to cut costs.
This version has a lovely sweetness, thanks to the use of shiitake mushroom, carrots, and that all-important thin, crispy dried squid. They also use fragrant Sarawak white pepper that enhances the taste of the dish.
Vinegared pork trotters are a must order here. You will find it — balance is the key again — not overly sour nor toothachingly sweet. The bonus are the large, tender slices of old ginger that have soaked up the addictive gravy.
One of my favourite items from the Chung Ling club is the belacan fried chicken wings. As they use premium grade fermented shrimp paste sourced from Penang, it lends an appetising aroma to the tender meat. One can't stop at just one piece. That's how good it is.
You can have the dishes delivered to your doorstep or just pop over to pick up your order.
The lorbak is just as good. However it does lose a little of its crispiness during the delivery but it's made up by the fragrant, tender meat that uses the milder tasting five spice powder brought in from Penang.
I also ordered their petai prawns (my first time trying it) and that dish didn't disappoint with its flavour packed sambal, stink beans and shelled prawns. It's not overly spicy and fragrant. Perfect with a plate of hot rice; you will be asking for seconds.
My meal was RM82 for the ju hu char, lorbak, belacan chicken wings, vinegared pork trotters and petai prawns. The portions were good for two meals and fed two of us sufficiently.
Ai Jiak Penang Food, 9, Jalan 21/12 (Opposite Public Bank Berhad), Sea Park, Petaling Jaya. Open: 11.30am to 7pm. Closed on Monday. Tel: 011-27788428. You can call to order the dishes for delivery at your own cost or self pick-up. Currently, there is no dine-in. Facebook: https://www.facebook.com/aijiakpenangfood/
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| CMCO delivery: Order Ai Jiak Penang Food to get your fix of Penang homespun favourites | CMCO delivery: Order Ai Jiak Penang Food fix Penang homespun favourites EatDrink Malay Mail Advertise Us Malay Mail Home Malaysia COVID19 World Money Life EatDrink Showbiz WYT Opinion Sports TechGadgets Drive Videos Archives Terms Use Advertise Us Apple AppStore Google Play Store Huawei App Gallery Google News ProjekMM Home Malaysia COVID19 World Money Life EatDrink Showbiz Opinion Sports TechGadgets Drive Videos ProjekMM Loading... Home EatDrink CMCO delivery: Order Ai Jiak Penang Food fix Penang homespun favourites Wednesday, 20 May 2020 08:59 AM MYT By Lee Khang Yi Your meal home CMCO better petai prawns, vinegared pork trotters, ju hu char lorbak. Pictures Lee Khang Yi PETALING JAYA, May 20 When I heard Ai Jiak Penang Food reopened, I immediately placed order. Ive craving taste Penang form ju hu char, lorbak, belacan chicken wings petai prawns. Even fact I vinegared pork trotters day didnt deter I ordered Ai Jiaks version too. After meals lunch dinner, tummy satisfied. Ai Jiak Penang Food known started February year. For know, run Choo Choon Keong Kuek Chian Kiong started famed restaurant years ago inside Chung Ling Alumni Club PJ. For outlet PJs Sea Park area, partnered Eddie Long. Kuek talent kitchen. Even isnt true blue Penang lang Johor, tasted food 10 years easily recreate taste. He works tandem Choo, Penang boy. Previously advertising, Choo provides bridge dishes sources right ingredients needed them. Choos maternal family, Hainanese, restaurant business Penang. The ju hu char thin, crispy dried squid, thinly sliced shiitake mushrooms, carrots. Pair lettuce leaves addictive sambal belacan. Similar nasi lemak, opinion consider best Penang Nyonya food. As family version dishes, be, course, differences taste appearance dishes. Nevertheless, restaurant Chung Ling Alumni Club proven popular members nonmember diners appreciate old school taste. Originally, Ai Jiak served different menu restaurant Chung Ling Alumni Club. With lockdown restrictions, club temporarily closed restaurant. Hence, Choo decided reopen Ai Jiak offer popular items. Currently theyre serving temporary menu small selection bestsellers. You order perut ikan, ju hu char, assam fish, vinegar pork trotters, lorbak, belacan chicken wings, chicken curry, babi pongteh petai prawns. As menu change depending availability ingredients, best confirm. Their lorbak filled tender meat flavoured milder tasting spice powder sourced Penang left. Can smell belacan? The fermented shrimp paste lends appetising taste fried chicken wings right. When comes ju hu char, extremely hard good version restaurants here. Most times, like stir fried yam bean dish, eateries omit essential ingredients cut costs. This version lovely sweetness, thanks use shiitake mushroom, carrots, allimportant thin, crispy dried squid. They use fragrant Sarawak white pepper enhances taste dish. Vinegared pork trotters order here. You balance key overly sour toothachingly sweet. The bonus large, tender slices old ginger soaked addictive gravy. One favourite items Chung Ling club belacan fried chicken wings. As use premium grade fermented shrimp paste sourced Penang, lends appetising aroma tender meat. One stop piece. Thats good is. You dishes delivered doorstep pop pick order. The lorbak good. However lose little crispiness delivery fragrant, tender meat uses milder tasting spice powder brought Penang. I ordered petai prawns time trying dish didnt disappoint flavour packed sambal, stink beans shelled prawns. Its overly spicy fragrant. Perfect plate hot rice; asking seconds. My meal RM82 ju hu char, lorbak, belacan chicken wings, vinegared pork trotters petai prawns. The portions good meals fed sufficiently. Ai Jiak Penang Food, 9, Jalan 2112 Opposite Public Bank Berhad, Sea Park, Petaling Jaya. Open: 11.30am 7pm. Closed Monday. Tel: 01127788428. You order dishes delivery cost self pickup. Currently, dinein. Facebook: Related Articles MCO food delivery: Slurpworthy pork noodles generous portions OUG Seafood Pork Noodle, Cheras MCO food delivery: Lets eat dim sum Delicious Penang eats roof Kepong In EatDrink Loading... News Malaysia COVID19 World Money Life EatDrink Showbiz Opinion What You Think Sports TechGadgets Drive Videos About Archives Terms Use Advertise Us Download Apple AppStore Google Play Store Huawei App Gallery Google News Newsletter 2020, Malay Mail, . | 2,020 | [
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https://crypto-daily.news/news/584668/artificial-intelligence-in-fashion-market-is-projected-to-reach-us-1015-8-mn-in-2027-leading-key-players-are-adobe-amazon-web-services-catchoom-technologies-s-l-facebook-google/ | 2020-10-06T00:00:00 | en | Artificial Intelligence in Fashion Market is Projected to Reach US$ 1015.8 Mn in 2027 | Leading key players are Adobe, Amazon Web Services, Catchoom Technologies S.L., Facebook, Google – Crypto Daily |
Artificial Intelligence in Fashion Market is Projected to Reach US$ 1015.8 Mn in 2027 | Leading key players are Adobe, Amazon Web Services, Catchoom Technologies S.L., Facebook, Google – Crypto Daily
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Artificial Intelligence in Fashion Market is Projected to Reach US$ 1015.8 Mn in 2027 | Leading key players are Adobe, Amazon Web Services, Catchoom Technologies S.L., Facebook, Google
premiummarketinsights October 6, 2020
The Asia Pacific artificial intelligence in fashion market accounted for US$ 55.1 Mn in 2018 and is expected to grow at a CAGR of 39.0% over the forecast period 2019-2027, to account for US$ 1015.8 Mn in 2027.
Top Companies Covered in this Report:
Adobe Inc., Amazon Web Services, Inc., Catchoom Technologies S.L., Facebook, Inc., Google LLC, Huawei Technologies Co., Ltd., IBM Corporation, Microsoft Corporation, Oracle Corporation, and SAP SE
Get sample copy of Report at: https://www.premiummarketinsights.com/sample/TIP00021412
Real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion industry. Moreover, the availability of a large amount of data originating from different data sources is one of the key factors driving the growth of AI technology across the fashion industry. Artificial Intelligence has already disrupted several industries, including the retail and fashion industry. The fashion industry so far has been one of the primary adopters of the technology. The fashion retailers these days are leveraging several revolutionary technologies, including machine learning, like augmented reality (AR) and artificial intelligence (AI), to make seamless shopping experiences across the channels, from online models to brick and mortar stores. Fashion retailers are progressively moving towards the AI integration within their supply chain, where more focus is being on customer-facing AI initiatives. Further, an AI integrated search engine is expected to reshape the way fashion designers develop new product designs. Store operations and in-store services will also be greatly benefited from AI integration in the fashion industry.
The artificial intelligence in fashion market is fragmented in nature due to the presence of several end-user industries, and the competitive dynamics in the market are anticipated to change during the coming years. In addition to this, various initiatives are undertaken by governmental bodies to accelerate the artificial intelligence in fashion market further. The governments of various countries in this region are trying to attract FDIs in the technology sector with the increasing need for enhanced technology-related services. For instance, China’s government relaxed the restrictions on new entries with an objective to encourage overseas and private capital to invest in its economy. This factor is anticipated to drive the demand for artificial intelligence in fashion market in this region.
The artificial intelligence in fashion market by deployment type is segmented into on-premise and cloud. During the forecast period of 2019 to 2027, the cloud-based segment is anticipated to be the largest contributor in artificial intelligence in fashion market. The artificial intelligence in fashion market is experiencing a paradigm shift from traditional on-premise deployment to cloud-based deployments in the current scenario. This trend is predominantly driven by the presence of a new category of cloud-only solutions, which help in minimizing integration complexities and installation costs with quick setup.Get Discount for This Report
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1.Introduction
2. Key Takeaways
3. Research Methodology
4. Artificial Intelligence in Fashion Market Landscape
5. Artificial Intelligence in Fashion Market – Key Market Dynamics
6. Artificial Intelligence in Fashion Market – Asia Pacific Market Analysis
7. Asia Pacific Artificial Intelligence in Fashion Market – By Offerings
8. Asia Pacific Artificial Intelligence in Fashion Market – By Deployment
9. Asia Pacific Artificial intelligence in fashion Market – By Application
10. Asia Pacific Artificial intelligence in fashion Market Analysis – By End User Industry
11. Asia Pacific Artificial Intelligence in Fashion Market – Country Analysis
12. Artificial Intelligence in Fashion Market – Industry Landscape
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| Artificial Intelligence in Fashion Market is Projected to Reach US$ 1015.8 Mn in 2027 | Artificial Intelligence Fashion Market Projected Reach US 1015.8 Mn 2027 Leading key players Adobe, Amazon Web Services, Catchoom Technologies S.L., Facebook, Google Crypto Daily Skip content Menu Energy News Space Top stories for: Crypto Daily Menu Energy News Space Top stories for: Flash News Pet Doors Market: Global Analysis Opportunity Assessment 20202024 Paraffin Wax Market Growth 2024: Developments, Types, Applications, Major Regions Players Parquet Flooring Market Rapid Growth, Study Reveals Market Size Emerging Segments 20202026 Ophthalmic Examination Chairs Market 2020Latest Technology TOP Leaders Topcon Medical Systems, ., Medical Experts, RQL, Teyco Med, US Ophthalmic, Bon Optic, Frastema, Inmoclinc, CSO Costruzione Strumenti Oftalmici, Reichert, Fiorentino A.M., Luneau Technology, S4Optik, MediPlinth, Reliance Medical Future Growth Analysis 2024 Energy Collection System Market 2020 Comprehensive analysis Top Manufacturers, Trends, Share, Future Growth Opportunities Forecast 2026 M2M Platform Market Growth And Status Explored In A New Research Report 20202026 Oil Country Tubular Goods OCTG Market 2020 New Business Opportunities Growth Segmented By Prominent Players U. S. Steel Tubular Products, Tenaris, TMK Group, ArcelorMittal, SANDVIK, Energex Tube JMC, Northwest Pipe, SB international , Continental Alloys Services, Vallourec, TPCO, etc. Cloud Based Office Productivity Software Market Research Report Covers Updated Data Considering Post Impact Covid19 Share, Size Future Demand 20202026 Virtual Dressing Room Market A Comprehensive Study Exploring Rapid Growth emerging trends 20202026 Nitrogen Purging System Market InDepth Qualitative Insights Future Growth Analysis 20202024 Praxair Technology, Air Products Chemicals, Linde, Schlumberger, Airgas, CSP Technologies, Halliburton, BHGE, CNPC, IKM Testing, NOV, NPS Group, CNOOC, Tang Seng, Smape Srl, A.Hak Industrial Services BV, Dajan, Kerui, DSV Pipetronix Tuesday, October 06, 2020 News Artificial Intelligence Fashion Market Projected Reach US 1015.8 Mn 2027 Leading key players Adobe, Amazon Web Services, Catchoom Technologies S.L., Facebook, Google premiummarketinsights October 6, 2020 The Asia Pacific artificial intelligence fashion market accounted US 55.1 Mn 2018 expected grow CAGR 39.0 forecast period 20192027, account US 1015.8 Mn 2027. Top Companies Covered Report: Adobe ., Amazon Web Services, ., Catchoom Technologies S.L., Facebook, ., Google LLC, Huawei Technologies Co., Ltd., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE Get sample copy Report at: Realtime consumer behavior insights increased operational efficiency driving adoption artificial intelligence fashion industry. Moreover, availability large data originating different data sources key factors driving growth AI technology fashion industry. Artificial Intelligence disrupted industries, including retail fashion industry. The fashion industry far primary adopters technology. The fashion retailers days leveraging revolutionary technologies, including machine learning, like augmented reality AR artificial intelligence AI, seamless shopping experiences channels, online models brick mortar stores. Fashion retailers progressively moving AI integration supply chain, focus customerfacing AI initiatives. Further, AI integrated search engine expected reshape way fashion designers develop new product designs. Store operations instore services greatly benefited AI integration fashion industry. The artificial intelligence fashion market fragmented nature presence enduser industries, competitive dynamics market anticipated change coming years. In addition this, initiatives undertaken governmental bodies accelerate artificial intelligence fashion market further. The governments countries region trying attract FDIs technology sector increasing need enhanced technologyrelated services. For instance, Chinas government relaxed restrictions new entries objective encourage overseas private capital invest economy. This factor anticipated drive demand artificial intelligence fashion market region. The artificial intelligence fashion market deployment type segmented onpremise cloud. During forecast period 2019 2027, cloudbased segment anticipated largest contributor artificial intelligence fashion market. The artificial intelligence fashion market experiencing paradigm shift traditional onpremise deployment cloudbased deployments current scenario. This trend predominantly driven presence new category cloudonly solutions, help minimizing integration complexities installation costs quick setup.Get Discount This Report Get Discount This Report 1.Introduction 2. Key Takeaways 3. Research Methodology 4. Artificial Intelligence Fashion Market Landscape 5. Artificial Intelligence Fashion Market Key Market Dynamics 6. Artificial Intelligence Fashion Market Asia Pacific Market Analysis 7. Asia Pacific Artificial Intelligence Fashion Market By Offerings 8. Asia Pacific Artificial Intelligence Fashion Market By Deployment 9. Asia Pacific Artificial intelligence fashion Market By Application 10. Asia Pacific Artificial intelligence fashion Market Analysis By End User Industry 11. Asia Pacific Artificial Intelligence Fashion Market Country Analysis 12. Artificial Intelligence Fashion Market Industry Landscape Enquire report at: About Premium Market Insights: stop shop market research reports solutions companies globe. We help clients decision support helping choose relevant cost effective research reports solutions publishers. We provide best class customer service customer support team available help research queries. Us: Sameer Joshi Call: 912067274191 Email: [emailprotected] Pune Artificial Intelligence Fashion MarketArtificial Intelligence Fashion Market AnalysisArtificial Intelligence Fashion Market ForecastArtificial Intelligence Fashion Market GrowthArtificial Intelligence Fashion Market SizeArtificial Intelligence Fashion Market Trends Post navigation Global United States Spring Washer Market Insights, Forecast 2026LowE Insulated Glass Market Analysis Size, Share, Growth, Latest Innovation, Trends Forecast 2019 2025 for: Recent Posts Pet Doors Market: Global Analysis Opportunity Assessment 20202024 Paraffin Wax Market Growth 2024: Developments, Types, Applications, Major Regions Players Parquet Flooring Market Rapid Growth, Study Reveals Market Size Emerging Segments 20202026 Ophthalmic Examination Chairs Market 2020Latest Technology TOP Leaders Topcon Medical Systems, ., Medical Experts, RQL, Teyco Med, US Ophthalmic, Bon Optic, Frastema, Inmoclinc, CSO Costruzione Strumenti Oftalmici, Reichert, Fiorentino A.M., Luneau Technology, S4Optik, MediPlinth, Reliance Medical Future Growth Analysis 2024 Energy Collection System Market 2020 Comprehensive analysis Top Manufacturers, Trends, Share, Future Growth Opportunities Forecast 2026 Archives October 2020 September 2020 August 2020 Categories Energy News Space Top stories Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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] | 1 | NEGATIVE | 638 |
https://www.perssupport.nl/persbericht/140420112/revolutionary-machine-learning-company-identifies-two-possible-treatments-for-intractable-breast-cancer-type | 2020-04-14T00:00:00 | en | Revolutionary Machine Learning Company Identifies Two Possible Treatments for Intractable Breast Cancer Type | ANP Pers Support | De kortste weg naar publiciteit |
Revolutionary Machine Learning Company Identifies Two Possible Treatments for Intractable Breast Cancer Type | ANP Pers Support | De kortste weg naar publiciteit
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Home/Persberichten/Revolutionary Machine Learning Company Identifies Two Possible Treatments for Intractable Breast Cancer Type
Revolutionary Machine Learning Company Identifies Two Possible Treatments for Intractable Breast Cancer Type
dinsdag 14 april 2020 14:28
Economie
Dit is een origineel bericht van PR Newswire
Pattern Computer has received positive national lab results for combination therapy drug candidates targeting basal-like breast cancer
REDMOND, Washington, April 14, 2020 /PRNewswire/ -- Pattern Computer®, Inc. [https://c212.net/c/link/?t=0&l=en&o=2772580-1&h=1563465989&u=http%3A%2F%2Fwww.patterncomputer.com%2F&a=Pattern+Computer%C2%AE%2C+Inc.] has received confirmation from Lawrence Berkeley National Laboratory that drug therapy combinations it identified using its proprietary machine learning pattern discovery system are effective in killing malignant breast cancer tumors. Notably, the Pattern Computer team chose to go after basal-like or "triple negative" breast cancer because it represents 15-20% of breast cancer patients, is aggressive, and has no effective drugs available. For further technical detail, go to https://www.patterncomputer.com/news/lbnl/ [https://c212.net/c/link/?t=0&l=en&o=2772580-1&h=1128809609&u=https%3A%2F%2Fwww.patterncomputer.com%2Fnews%2Flbnl%2F&a=https%3A%2F%2Fwww.patterncomputer.com%2Fnews%2Flbnl%2F].
https://mma.prnewswire.com/media/1143036/Pattern_Computer_Logo.jpg [https://mma.prnewswire.com/media/1143036/Pattern_Computer_Logo.jpg]
"We're very excited by the two-tier bio-validation results we've just received for our combination therapy candidates, which we filtered for drugs that were already individually FDA-approved or in process. This was our first project in biotech, and we are hopeful for many future successes along the path to developing a treatment for this and other cancers and diseases," said Mark R. Anderson, CEO of Pattern Computer.
The two therapy treatments successfully completed final in vitro organoid testing at Lawrence Berkeley National Laboratory, demonstrating "significant synergistic interaction" in killing malignant tumor cells, with statistically "low-to-no adverse effects" on healthy cells. With these results, Pattern Computer will proceed to the next phase of preclinical testing.
"We appreciate our results are still relatively early; we're therefore approaching these next steps with due care and caution," Anderson said, "but we're encouraged by the biological validation we are seeing to date of our computational models in this area. We are delighted to be working with Lawrence Berkeley National Labs on confirming these findings."
Pattern Computer, a Seattle-area startup, uses its proprietary Pattern Discovery Engine(TM) to solve the most important and intractable problems in business and medicine. The company's proprietary mathematical techniques can find complex patterns in very high-order data which have eluded detection by much larger systems.
While the company is currently applying its computational platform to the challenging field of drug discovery, it is also making pattern discoveries for partners in several other sectors, including additional biomedical research, materials science, aerospace manufacturing, veterinary medicine, air traffic operations, and finance.
FOR CUSTOMERS AND PARTNERS, CONTACT:
FOR INTERVIEWS, CONTACT:
Nick Psyhogeos
Denyse Hudson
425.829.0467
360.298.0658
[email protected]
[email protected]
Logo - https://mma.prnewswire.com/media/1143036/Pattern_Computer_Logo.jpg [https://c212.net/c/link/?t=0&l=en&o=2772580-1&h=1016165136&u=https%3A%2F%2Fmma.prnewswire.com%2Fmedia%2F1143036%2FPattern_Computer_Logo.jpg&a=https%3A%2F%2Fmma.prnewswire.com%2Fmedia%2F1143036%2FPattern_Computer_Logo.jpg]
Web site: https://www.patterncomputer.com/
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| Revolutionary Machine Learning Company Identifies Two Possible Treatments for Intractable Breast Cancer Type | Revolutionary Machine Learning Company Identifies Two Possible Treatments Intractable Breast Cancer Type ANP Pers Support De kortste weg naar publiciteit Volg ons op: APS Nieuwsmanager login Cision Communication Cloud login English Home Diensten Verstuur direct een persbericht De media bereiken? Nieuwswaardige content creren? Mediaaandacht monitoren en analyseren Workshops events Inspiratie Gepubliceerde persberichten Hoe schrijf je een effectief persbericht Verhalen van klanten Over ons Over ANP Pers Support ANP Perssupport en AVG Waarom kies jj voor ANP Pers Support? Reacties van klanten Vacatures Maak een afspraak Persbericht laten beoordelen Persbericht versturen HomePersberichtenRevolutionary Machine Learning Company Identifies Two Possible Treatments Intractable Breast Cancer Type Revolutionary Machine Learning Company Identifies Two Possible Treatments Intractable Breast Cancer Type dinsdag 14 april 2020 14:28 Economie Dit een origineel bericht van PR Newswire Pattern Computer received positive national lab results combination therapy drug candidates targeting basallike breast cancer REDMOND, Washington, April 14, 2020 PRNewswire Pattern Computer, . [ received confirmation Lawrence Berkeley National Laboratory drug therapy combinations identified proprietary machine learning pattern discovery effective killing malignant breast cancer tumors. Notably, Pattern Computer team chose basallike triple negative breast cancer represents 1520 breast cancer patients, aggressive, effective drugs available. For technical detail, [ [ Were excited twotier biovalidation results weve received combination therapy candidates, filtered drugs individually FDAapproved process. This project biotech, hopeful future successes path developing treatment cancers diseases, said Mark R. Anderson, CEO Pattern Computer. The therapy treatments successfully completed final vitro organoid testing Lawrence Berkeley National Laboratory, demonstrating significant synergistic interaction killing malignant tumor cells, statistically lowtono adverse effects healthy cells. With results, Pattern Computer proceed phase preclinical testing. We appreciate results relatively early; approaching steps care caution, Anderson said, encouraged biological validation seeing date computational models area. We delighted working Lawrence Berkeley National Labs confirming findings. Pattern Computer, Seattlearea startup, uses proprietary Pattern Discovery EngineTM solve important intractable problems business medicine. The companys proprietary mathematical techniques complex patterns highorder data eluded detection larger systems. While company currently applying computational platform challenging field drug discovery, making pattern discoveries partners sectors, including additional biomedical research, materials science, aerospace manufacturing, veterinary medicine, air traffic operations, finance. FOR CUSTOMERS AND PARTNERS, CONTACT: FOR INTERVIEWS, CONTACT: Nick Psyhogeos Denyse Hudson 425.829.0467 360.298.0658 inquiry denyse Logo [ Web site: PR Newswire Dit persbericht ANP Pers Support naar internationale vak en online media gestuurd. Heb je nieuws voor buitenlandse journalisten? Bekijk dan onze mogelijkheden neem contact met ons op. Andere persberichten van deze organisatie Supermicro introduceert het breedste portfolio industrie van op 2nd gen AMD EPYCTMprocessors gebaseerde systemen met 27 verbroken wereld dinsdag 14 april 2020 15:01 Merck Supports Jenner Institute Reach First Milestone Covid19 Vaccine Manufacturing dinsdag 14 april 2020 14:01 LyondellBasell Donates 1.3 Million Combat Hunger During COVID19 Pandemic dinsdag 14 april 2020 13:31 LyondellBasell doneert 1,3 miljoen dollar strijd tegen honger tijdens COVID19 pandemie dinsdag 14 april 2020 13:31 Verstuur nu nmalig een persbericht Verstuur persberichten en beeldmateriaal naar redacties binnen en buitenland. Via het ANPnet, het internationale medianetwerk van PR Newswire met een perslijst op maat. Direct persbericht versturen WTC Den Haag, Toren C Prinses Beatrixlaan 582 2595 BM Den Haag Follow Ontvang onze nieuwsbrief Blijf op hoogte en schrijf je in. Home Diensten Inspiratie Over ons Algemene voorwaarden APS Direct ANP Pers Support onderdeel van ANP en PR Newswire 070 41 41 234 | 2,020 | [
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https://upnewsinfo.com/2020/11/26/when-consumers-trust-ai-recommendations-or-resist-them-sciencedaily/ | 2020-11-26T00:00:00 | en | When consumers trust AI recommendations, or resist them - ScienceDaily - Up News Info | When consumers trust AI recommendations, or resist them - ScienceDaily - 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 When consumers trust AI recommendations, or resist them — ScienceDailyTechnologyWhen consumers trust AI recommendations, or resist them — ScienceDailyBy Isaac Novak - November 26, 202007ShareFacebook Twitter Pinterest WhatsApp Researchers from Boston University and University of Virginia published a new paper in the Journal of Marketing that examines how consumers respond to AI recommenders when focused on the functional and practical aspects of a product (its utilitarian value) versus the experiential and sensory aspects of a product (its hedonic value). The study, forthcoming in the the Journal of Marketing, is titled “Artificial Intelligence in Utilitarian vs. Hedonic Contexts: The ‘Word-of-Machine’ Effect” and is authored by Chiara Longoni and Luca Cian.More and more companies are leveraging technological advances in AI, machine learning, and natural language processing to provide recommendations to consumers. As these companies evaluate AI-based assistance, one critical question must be asked: When do consumers trust the “word of machine,” and when do they resist it?A new Journal of Marketing study explores reasons behind the preference of recommendation source (AI vs. human). The key factor in deciding how to incorporate AI recommenders is whether consumers are focused on the functional and practical aspects of a product (its utilitarian value) or on the experiential and sensory aspects of a product (its hedonic value).Relying on data from over 3,000 study participants, the research team provides evidence supporting a word-of-machine effect, defined as the phenomenon by which the trade-offs between utilitarian and hedonic aspects of a product determine the preference for, or resistance to, AI recommenders. The word-of-machine effect stems from a widespread belief that AI systems are more competent than humans at dispensing advice when functional and practical qualities (utilitarian) are desired and less competent when the desired qualities are experiential and sensory-based (hedonic). Consequently, the importance or salience of utilitarian attributes determine preference for AI recommenders over human ones, while the importance or salience of hedonic attributes determine resistance to AI recommenders over human ones.The researchers tested the word-of-machine effect using experiments designed to assess people’s tendency to choose products based on consumption experiences and recommendation source. Longoni explains that “We found that when presented with instructions to choose products based solely on utilitarian/functional attributes, more participants chose AI-recommended products. When asked to only consider hedonic/experiential attributes, a higher percentage of participants chose human recommenders.” When utilitarian features are most important, the word-of-machine effect was more distinct. In one study, participants were asked to imagine buying a winter coat and rate how important utilitarian/functional attributes (e.g., breathability) and hedonic/experiential attributes (e.g., fabric type) were in their decision making. The more utilitarian/functional features were highly rated, the greater the preference for AI over human assistance, and the more hedonic/experiential features were highly rated, the greater the preference for human over AI assistance.Another study indicated that when consumers wanted recommendations matched to their unique preferences, they resisted AI recommenders and preferred human recommenders regardless of hedonic or utilitarian preferences. These results suggest that companies whose customers are known to be satisfied with “one size fits all” recommendations (i.e., not in need of a high level of customization) may rely on AI-systems. However, companies whose customers are known to desire personalized recommendations should rely on humans.Although there is a clear correlation between utilitarian attributes and consumer trust in AI recommenders, companies selling products that promise more sensorial experiences (e.g., fragrances, food, wine) may still use AI to engage customers. In fact, people embrace AI’s recommendations as long as AI works in partnership with humans. When AI plays an assistive role, “augmenting” human intelligence rather than replacing it, the AI-human hybrid recommender performs as well as a human-only assistant.Overall, the word-of-machine effect has important implications as the development and adoption of AI, machine learning, and natural language processing challenges managers and policy-makers to harness these transformative technologies. As Cian says, “The digital marketplace is crowded and consumer attention span is short. Understanding the conditions under which consumers trust, and do not trust, AI advice will give companies a competitive advantage in this space.”Story Source:Materials provided by American Marketing Association. Original written by Matt Weingarden. Note: Content may be edited for style and length. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyAqara testing Apple’s Adaptive Lighting for budget smart lights Technology200+ Chinese apps are now blocked in India after the government banned another 43 apps on Tuesday, leaving Chinese tech companies facing huge losses... TechnologyFoxconn to shift some Apple production to Vietnam to minimise China risk – Latest NewsHomeAbout UsContact usDisclaimerPrivacy Policy ©
| When consumers trust AI recommendations, or resist them | When consumers trust AI recommendations, resist ScienceDaily 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 When consumers trust AI recommendations, resist ScienceDailyTechnologyWhen consumers trust AI recommendations, resist ScienceDailyBy Isaac Novak November 26, 202007ShareFacebook Twitter Pinterest WhatsApp Researchers Boston University University Virginia published new paper Journal Marketing examines consumers respond AI recommenders focused functional practical aspects product utilitarian value versus experiential sensory aspects product hedonic value. The study, forthcoming Journal Marketing, titled Artificial Intelligence Utilitarian vs. Hedonic Contexts: The WordofMachine Effect authored Chiara Longoni Luca Cian.More companies leveraging technological advances AI, machine learning, natural language processing provide recommendations consumers. As companies evaluate AIbased assistance, critical question asked: When consumers trust word machine, resist it?A new Journal Marketing study explores reasons preference recommendation source AI vs. human. The key factor deciding incorporate AI recommenders consumers focused functional practical aspects product utilitarian value experiential sensory aspects product hedonic value.Relying data 3,000 study participants, research team provides evidence supporting wordofmachine effect, defined phenomenon tradeoffs utilitarian hedonic aspects product determine preference for, resistance to, AI recommenders. The wordofmachine effect stems widespread belief AI systems competent humans dispensing advice functional practical qualities utilitarian desired competent desired qualities experiential sensorybased hedonic. Consequently, importance salience utilitarian attributes determine preference AI recommenders human ones, importance salience hedonic attributes determine resistance AI recommenders human ones.The researchers tested wordofmachine effect experiments designed assess peoples tendency choose products based consumption experiences recommendation source. Longoni explains We presented instructions choose products based solely utilitarianfunctional attributes, participants chose AIrecommended products. When asked consider hedonicexperiential attributes, higher percentage participants chose human recommenders. When utilitarian features important, wordofmachine effect distinct. In study, participants asked imagine buying winter coat rate important utilitarianfunctional attributes e.g., breathability hedonicexperiential attributes e.g., fabric type decision making. The utilitarianfunctional features highly rated, greater preference AI human assistance, hedonicexperiential features highly rated, greater preference human AI assistance.Another study indicated consumers wanted recommendations matched unique preferences, resisted AI recommenders preferred human recommenders regardless hedonic utilitarian preferences. These results suggest companies customers known satisfied size fits recommendations i.e., need high level customization rely AIsystems. However, companies customers known desire personalized recommendations rely humans.Although clear correlation utilitarian attributes consumer trust AI recommenders, companies selling products promise sensorial experiences e.g., fragrances, food, wine use AI engage customers. In fact, people embrace AIs recommendations long AI works partnership humans. When AI plays assistive role, augmenting human intelligence replacing it, AIhuman hybrid recommender performs humanonly assistant.Overall, wordofmachine effect important implications development adoption AI, machine learning, natural language processing challenges managers policymakers harness transformative technologies. As Cian says, The digital marketplace crowded consumer attention span short. Understanding conditions consumers trust, trust, AI advice companies competitive advantage space.Story Source:Materials provided American Marketing Association. Original written Matt Weingarden. Note: Content edited style length. ShareFacebook Twitter Pinterest WhatsApp Isaac Novak RELATED ARTICLESMORE FROM AUTHOR TechnologyAqara testing Apples Adaptive Lighting budget smart lights Technology200 Chinese apps blocked India government banned 43 apps Tuesday, leaving Chinese tech companies facing huge losses... TechnologyFoxconn shift Apple production Vietnam minimise China risk Latest NewsHome usDisclaimer | 2,020 | [
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https://newsfinancialanalyst.com/artificial-intelligence-in-construction-global-market-2018-top-key-players-ibm-microsoft-oracle-sap-alice-technologies-and-forecast-to-2025/ | 2020-01-21T00:00:00 | en | Artificial Intelligence in Construction Global Market 2018 Top Key Players – IBM, Microsoft, Oracle, SAP, Alice Technologies and Forecast to 2025 – Financial Analyst |
Artificial Intelligence in Construction Global Market 2018 Top Key Players – IBM, Microsoft, Oracle, SAP, Alice Technologies and Forecast to 2025 – Financial Analyst
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Artificial Intelligence in Construction Global Market 2018 Top Key Players – IBM, Microsoft, Oracle, SAP, Alice Technologies and Forecast to 2025
January 21, 2020 wiseguyreports Finance Comments Off on Artificial Intelligence in Construction Global Market 2018 Top Key Players – IBM, Microsoft, Oracle, SAP, Alice Technologies and Forecast to 2025
In 2017, the global Artificial Intelligence in Construction market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.
This report focuses on the global Artificial Intelligence in Construction status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in Construction development in United States, Europe and China.
Get sample Report @ www.wiseguyreports.com/sample-request/3441523-global-arti…
The key players covered in this study
IBM
Microsoft
Oracle
SAP
Alice Technologies
eSUB
SmarTVid.Io
DarKTrace
Aurora Computer Services
Autodesk
Jaroop
Lili.Ai
Predii
Assignar
Deepomatic
Coins Global
Beyond Limits
Doxel
Askporter
Plangrid
Renoworks Software
Building System Planning
Bentley Systems
Market segment by Type, the product can be split into
Cloud
On-premises
Market segment by Application, split into
Residential
Institutional Commercials
Heavy Construction
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
Complete Report Details @ www.wiseguyreports.com/reports/3441523-global-artificial-…
Table of Contents -Major Key Points
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Artificial Intelligence in Construction Market Size Growth Rate by Type (2013-2025)
1.4.2 Cloud
1.4.3 On-premises
1.5 Market by Application
1.5.1 Global Artificial Intelligence in Construction Market Share by Application (2013-2025)
1.5.2 Residential
1.5.3 Institutional Commercials
1.5.4 Heavy Construction
1.5.5 Others
1.6 Study Objectives
1.7 Years Considered
…………
12 International Players Profiles
12.1 IBM
12.1.1 IBM Company Details
12.1.2 Company Description and Business Overview
12.1.3 Artificial Intelligence in Construction Introduction
12.1.4 IBM Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.1.5 IBM Recent Development
12.2 Microsoft
12.2.1 Microsoft Company Details
12.2.2 Company Description and Business Overview
12.2.3 Artificial Intelligence in Construction Introduction
12.2.4 Microsoft Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.2.5 Microsoft Recent Development
12.3 Oracle
12.3.1 Oracle Company Details
12.3.2 Company Description and Business Overview
12.3.3 Artificial Intelligence in Construction Introduction
12.3.4 Oracle Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.3.5 Oracle Recent Development
12.4 SAP
12.4.1 SAP Company Details
12.4.2 Company Description and Business Overview
12.4.3 Artificial Intelligence in Construction Introduction
12.4.4 SAP Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.4.5 SAP Recent Development
12.5 Alice Technologies
12.5.1 Alice Technologies Company Details
12.5.2 Company Description and Business Overview
12.5.3 Artificial Intelligence in Construction Introduction
12.5.4 Alice Technologies Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.5.5 Alice Technologies Recent Development
12.6 eSUB
12.6.1 eSUB Company Details
12.6.2 Company Description and Business Overview
12.6.3 Artificial Intelligence in Construction Introduction
12.6.4 eSUB Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.6.5 eSUB Recent Development
12.7 SmarTVid.Io
12.7.1 SmarTVid.Io Company Details
12.7.2 Company Description and Business Overview
12.7.3 Artificial Intelligence in Construction Introduction
12.7.4 SmarTVid.Io Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.7.5 SmarTVid.Io Recent Development
12.8 DarKTrace
12.8.1 DarKTrace Company Details
12.8.2 Company Description and Business Overview
12.8.3 Artificial Intelligence in Construction Introduction
12.8.4 DarKTrace Revenue in Artificial Intelligence in Construction Business (2013-2018)
12.8.5 DarKTrace Recent Development
……..CONTINUED
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| Artificial Intelligence in Construction Global Market 2018 Top Key Players | Artificial Intelligence Construction Global Market 2018 Top Key Players IBM, Microsoft, Oracle, SAP, Alice Technologies Forecast 2025 Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Artificial Intelligence Construction Global Market 2018 Top Key Players IBM, Microsoft, Oracle, SAP, Alice Technologies Forecast 2025 January 21, 2020 wiseguyreports Finance Comments Off Artificial Intelligence Construction Global Market 2018 Top Key Players IBM, Microsoft, Oracle, SAP, Alice Technologies Forecast 2025 In 2017, global Artificial Intelligence Construction market size million US expected reach million US end 2025, CAGR 20182025. This report focuses global Artificial Intelligence Construction status, future forecast, growth opportunity, key market key players. The study objectives present Artificial Intelligence Construction development United States, Europe China. Get sample Report @ The key players covered study IBM Microsoft Oracle SAP Alice Technologies eSUB SmarTVid.Io DarKTrace Aurora Computer Services Autodesk Jaroop Lili.Ai Predii Assignar Deepomatic Coins Global Beyond Limits Doxel Askporter Plangrid Renoworks Software Building System Planning Bentley Systems Market segment Type, product split Cloud Onpremises Market segment Application, split Residential Institutional Commercials Heavy Construction Others Market segment RegionsCountries, report covers United States Europe China Japan Southeast Asia India Central South America Complete Report Details@ Table Contents Major Key Points 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered 1.4 Market Analysis Type 1.4.1 Global Artificial Intelligence Construction Market Size Growth Rate Type 20132025 1.4.2 Cloud 1.4.3 Onpremises 1.5 Market Application 1.5.1 Global Artificial Intelligence Construction Market Share Application 20132025 1.5.2 Residential 1.5.3 Institutional Commercials 1.5.4 Heavy Construction 1.5.5 Others 1.6 Study Objectives 1.7 Years Considered 12 International Players Profiles 12.1 IBM 12.1.1 IBM Company Details 12.1.2 Company Description Business Overview 12.1.3 Artificial Intelligence Construction Introduction 12.1.4 IBM Revenue Artificial Intelligence Construction Business 20132018 12.1.5 IBM Recent Development 12.2 Microsoft 12.2.1 Microsoft Company Details 12.2.2 Company Description Business Overview 12.2.3 Artificial Intelligence Construction Introduction 12.2.4 Microsoft Revenue Artificial Intelligence Construction Business 20132018 12.2.5 Microsoft Recent Development 12.3 Oracle 12.3.1 Oracle Company Details 12.3.2 Company Description Business Overview 12.3.3 Artificial Intelligence Construction Introduction 12.3.4 Oracle Revenue Artificial Intelligence Construction Business 20132018 12.3.5 Oracle Recent Development 12.4 SAP 12.4.1 SAP Company Details 12.4.2 Company Description Business Overview 12.4.3 Artificial Intelligence Construction Introduction 12.4.4 SAP Revenue Artificial Intelligence Construction Business 20132018 12.4.5 SAP Recent Development 12.5 Alice Technologies 12.5.1 Alice Technologies Company Details 12.5.2 Company Description Business Overview 12.5.3 Artificial Intelligence Construction Introduction 12.5.4 Alice Technologies Revenue Artificial Intelligence Construction Business 20132018 12.5.5 Alice Technologies Recent Development 12.6 eSUB 12.6.1 eSUB Company Details 12.6.2 Company Description Business Overview 12.6.3 Artificial Intelligence Construction Introduction 12.6.4 eSUB Revenue Artificial Intelligence Construction Business 20132018 12.6.5 eSUB Recent Development 12.7 SmarTVid.Io 12.7.1 SmarTVid.Io Company Details 12.7.2 Company Description Business Overview 12.7.3 Artificial Intelligence Construction Introduction 12.7.4 SmarTVid.Io Revenue Artificial Intelligence Construction Business 20132018 12.7.5 SmarTVid.Io Recent Development 12.8 DarKTrace 12.8.1 DarKTrace Company Details 12.8.2 Company Description Business Overview 12.8.3 Artificial Intelligence Construction Introduction 12.8.4 DarKTrace Revenue Artificial Intelligence Construction Business 20132018 12.8.5 DarKTrace Recent Development ..CONTINUED Wise Guy Reportsis Wise Guy Consultants Pvt. Ltd. offers premium progressive statistical surveying, Industry research reports, analysis forecast data industries governments globe.Wise Guy Reportsunderstand essential statistical surveying information organization association. Therefore, wehave associated publishers research firms specialized specific domains, ensuring receive reliable date research data available. NORAH TRENT Partner Relations Marketing Manager [emailprotected] Ph: 16468459349 US Ph: 44 208 133 9349 UK wiseguyreports Post Views: 21 Post navigation Previous Post:Global Standby Power Generation Equipment Market 2019Next Post:Global High Reach Telehandler Market 2019 Popular Global Data Center Equipment Market: key Vendors, Trends, Analysis, Segmentation, Forecast 20182023 Oil Country Tabular Goods OCTG Global Market 2018 Top Key Players JFE , TPCO , ArcelorMittal , Chelyabinsk Pipe , Evraz Forecast 2023 Global Baby Carriers Market Sales, Revenue Market Share 2019 2025 Global Optical Fiber Patch Cord Market: key Vendors, Trends, Analysis, Segmentation, Forecast 20182023 Wearable Apps Market Size, Demand, Key Players, Industry Analysis Future Forecasts 20192025 Global Household Refrigerators Freezers Market: key Vendors, Trends, Analysis, Segmentation, Forecast 20182023 Global Eye Care Surgical Devices Market: key Vendors, Trends, Analysis, Segmentation, Forecast 20182023 Global High Reach Telehandler Market 2019 Artificial Intelligence Construction Global Market 2018 Top Key Players IBM, Microsoft, Oracle, SAP, Alice Technologies Forecast 2025 Global Standby Power Generation Equipment Market 2019 Discover Cryogenic Liquid Tank Container Market Upcoming Trends, Growth Drivers Challenges Forecast 2023 Metal Metal Manufactured Products Global Market 2018 Top Key Players Global Flangedless Butterfly Valves Market report provide detailed information major factors influencing growth market Clinical Intelligence Market 2019 Global Demand, Growth, Opportunities, Top Key Players Forecast 2025 Global Soft Seal V Port Ball Valves Market Report The demand For Market Growing Worldwide Powered WordPress Tortuga. | 2,020 | [
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] | 1 | POSITIVE | 641 |
https://www.entrepreneur.com/article/354565 | 2020-08-11T00:00:00 | en | Here's How Customer Experience And AI Are Driving The Next Gen Of E-commerce Industry |
Here's How Customer Experience And AI Are Driving The Next Gen Of E-commerce Industry
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Here's How Customer Experience And AI Are Driving The Next Gen Of E-commerce Industry
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The digitization of commerce has been changing consumer expectations and inspiring new and unprecedented shopping patterns and experiences for the past few years. The recent uncertain times have further created a binding need for online commerce more than ever. People in the near future will refrain from stepping out of their homes to fulfill their impulsive cravings, which poses a significant threat to various industries such as retail, grocery and food delivery, apparel and fashion. Several industries have come to a halt in the wake of the spread of viral disease, facing one of the significant blows ever suffered by it.Brands are shifting their marketing strategies and resources from brick-and-mortar to e-commerce format, striving to create personalized shopping experiences for their customers. Harley Manning, vice-president, and research director at Forrester, who specializes in customer service, says brands savvy to this shift are reframing their take on customer service from a cost center to a profit driver.Customer support metrics have expanded to include customer satisfaction, lifetime value, and repeat buying, says Shawna Wolverton, senior vice-president of products at customer service software provider. The e-commerce shift has proven itself fruitful for the luxury market to traditional retail alike. Brands are meticulously working towards enhancing the retail world for the tech-savvy new generation who enjoy effortless shopping experiences from the comfort of their homes. This new wave of e-commerce stands to change the way of brand-customer engagement for the better as brands continue to refine and innovate their digital strategies.Let's have a glance at the AI-driven trends that are ruling the various brand strategies nowadays.Social Media MarketingSocial media has grown exponentially into a business-driven platform heavily utilized by brands, with Facebook leading among its competitors. After all, there is no better way to reach your audience, since literally everyone is out there. The social handles and brands alike work towards bringing superior customer experiences. Researchers suggest that vertical engagement features such as stories and IGTV videos, live streams are proving to be a more interactive mode to keep your audience glued. Click to buy to feature gives a new meaning to your content, increasing website landings by people. Small homegrown businesses are making the most of this feature to drive more people towards their website. Various kinds of flexible ad formats, especially on YouTube, help brands strike a chord with the audience and make them reach out.Also, social media is all about collaborations, with paid promotions taking a deep-rooted space in the social media marketing package, highly utilized by the brand. Social media influencers and content creators belonging to a vast genre have created an exciting and high engagement-driven space for themselves on social media.AI-Driven Automation ExperiencesSome of the world's most successful companies have already incorporated AI and reaping the rewards in terms of brand reputation, profits and visibility.For instance, Amazon was one of the first companies that pioneered shopping recommendations and has witnessed changes in its algorithms over the years. Amazon's shopping recommendations have become increasingly sophisticated over time.Amazon uses AI to drive prices dynamically; that is it reduces the costs to elicit more sales when required and simultaneously increase prices when the demands are high. The algorithm enables optimal sales and revenue automatically. Still moving ahead as a leader in the use of technology, Amazon has now opened checkout-free physical stores in Seattle, Chicago, and San Francisco, which have AI-powered sensors and cameras. This technology can tell exactly which items a customer has picked up and will automatically charge them as they walk out of the store using the Amazon Go app.Talking about new ventures, Lenskart introduced a virtual 3D try-on feature in its website in order to provide store like experience to its shy online customers. Thus, brands in every domain are experimenting with bringing better and superior customer engagement experiences with the aid of artificial intelligence. And we all can agree that the sky's not the limit.Progressive WebappsSelling online mobile phones has been the top-of-mind ecommerce trends for the past few years now. Progressive web apps are the next evolution of mobile e-commerce and are said to become a standard in 2020. Customers can interact with the brands of their choice and in a manner that is convenient to them, using PWA's.How Is It A New Era For Customer Engagement?The future of the e-commerce industry will be driven by stellar customer experiences. Also, it will see a rise in more significant shopping recommendations and personalization options. Surviving the new era of e-commerce for the businesses means that they should aim to deliver unmatched customer service and use technological advances at the same time.According to a Gartner Survey, organizations are becoming aware of utilizing AI for delivering customer experience. Around 59 per cent of those surveyed said they are looking into ways to build their AI strategies. In contrast, the other 41 per cent have already adopted automated solutions. The e-commerce industry is said to reap the benefits of chatbots, automation and conversational AI, and social commerce and wearable technology.Some of the important questions that businesses need to answer are how can they put customer experience at the forefront with the increasing impact of commerce digitization? How can organizations use customer insights and create more than amazing customer experience? How can businesses integrate omnichannel customer support and social media customer service?Digital advances and capabilities have smoothly paved the way for virtual shopping. Customers are ditching the old and traditional methods of going for shopping and instead opting for personalized online experiences. The new wave of e-commerce
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E-commerce
Major E-commerce Trends to Watch Out of in 2020
E-commerce
Spike in E-commerce Due to Covid-19: A Silver Lining for Grade a Warehousing?
E-commerce
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| Here's How Customer Experience And AI Are Driving The Next Gen Of E-commerce Industry | Heres How Customer Experience And AI Are Driving The Next Gen Of Ecommerce Industry menu Video Webinars Start A Business Books search person insert_emoticon My Account Entrepreneur Insider Submit Article Saved Content My Account Sign Out clear Video Podcasts Articles Start A Business Store Books Women Entrepreneur Green Entrepreneur Ask An Expert Shop Entrepreneur Franchise Franchise Home Franchise 500 Ranking Business Opportunities List Franchises For Sale Franchise Suppliers Directory Products Entrepreneur Insider Start Your Own Business Course Podcasts Books Entrepreneur Insurance Webinars Spotlight Topics Leadership Inspiration Growth Strategies Marketing Technology Social Media Finance Entrepreneurs Starting Business Franchise Magazine Entrepreneur Issues Startups Issues Gift Subscription Subscription Services Newsletter Editions United States India Asia Pacific Middle East Europe South Africa Espaol Georgia Other Advertise Reprints Licensing Terms Use Policy Site Map Ecommerce Heres How Customer Experience And AI Are Driving The Next Gen Of Ecommerce Industry Brands shifting marketing strategies resources brickandmortar ecommerce format, striving create personalized shopping experiences customers Next Article shares link Add Queue Image credit: Pixabay Grow Your Business, Not Your Inbox Stay informed join daily newsletter Email Submit Will accordance Vipul Srivastav Editor home August 11, 2020 5 min read Opinions expressed Entrepreneur contributors own. Youre reading Entrepreneur India, international franchise Entrepreneur Media. The digitization commerce changing consumer expectations inspiring new unprecedented shopping patterns experiences past years. The recent uncertain times created binding need online commerce ever.People near future refrain stepping homes fulfill impulsive cravings, poses significant threat industries retail, grocery food delivery, apparel fashion. Several industries come halt wake spread viral disease, facing significant blows suffered it.Brands shifting marketing strategies resources brickandmortar ecommerce format, striving create personalized shopping experiences customers.Harley Manning,vicepresident, research director Forrester, specializes customer service, says brands savvy shift reframing customer service cost center profit driver.Customer support metrics expandedto include customer satisfaction, lifetime value, repeat buying, says Shawna Wolverton, senior vicepresident products customer service software provider. The ecommerce shift proven fruitful luxury market traditional retail alike.Brands meticulously working enhancing retail world techsavvy new generation enjoy effortless shopping experiences comfort homes. This new wave ecommerce stands change way brandcustomer engagement better brands continue refine innovate digital strategies.Lets glance AIdriven trends ruling brand strategies nowadays.Social Media MarketingSocial media grown exponentially businessdriven platform heavily utilized brands, Facebook leading competitors. After all, better way reach audience, literally there.The social handles brands alike work bringing superior customer experiences. Researchers suggest vertical engagement features stories IGTV videos, live streams proving interactive mode audience glued. Click buy feature gives new meaning content, increasing website landings people.Small homegrown businesses making feature drive people website. Various kinds flexible ad formats, especially YouTube, help brands strike chord audience reach out.Also, social media collaborations, paid promotions taking deeprooted space social media marketing package, highly utilized brand. Social media influencers content creators belonging vast genre created exciting high engagementdriven space social media.AIDriven Automation ExperiencesSome worlds successful companies incorporated AI reaping rewards terms brand reputation, profits visibility.For instance, Amazon companies pioneered shopping recommendations witnessed changes algorithms years. Amazons shopping recommendations increasingly sophisticated time.Amazon uses AI drive prices dynamically; reduces costs elicit sales required simultaneously increase prices demands high. The algorithm enables optimal sales revenue automatically. Still moving ahead leader use technology, Amazon opened checkoutfree physical stores Seattle, Chicago, San Francisco, AIpowered sensors cameras. This technology tell exactly items customer picked automatically charge walk store Amazon Go app.Talking new ventures, Lenskart introduced virtual 3D tryon feature website order provide store like experience shy online customers. Thus, brands domain experimenting bringing better superior customer engagement experiences aid artificial intelligence. And agree skys limit.Progressive WebappsSelling online mobile phones topofmind ecommerce trends past years now. Progressive web apps evolution mobile ecommerce said standard 2020. Customers interact brands choice manner convenient them, PWAs.How Is It A New Era For Customer Engagement?The future ecommerce industry driven stellar customer experiences. Also, rise significant shopping recommendations personalization options.Surviving new era ecommerce businesses means aim deliver unmatched customer service use technological advances time.According Gartner Survey, organizations aware utilizing AI delivering customer experience. Around 59 cent surveyed said looking ways build AI strategies. In contrast, 41 cent adopted automated solutions.The ecommerce industry said reap benefits chatbots, automation conversational AI, social commerce wearable technology.Some important questions businesses need answer customer experience forefront increasing impact commerce digitization? How organizations use customer insights create amazing customer experience? How businesses integrate omnichannel customer support social media customer service?Digital advances capabilities smoothly paved way virtual shopping. Customers ditching old traditional methods going shopping instead opting personalized online experiences. The new wave ecommerce Related Books Ultimate Guide Google Adwords Buy From Ultimate Guide Google Adwords Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play Entrepreneur Books 800CEOREAD Ultimate Guide PayPerClick Advertising Buy From Ultimate Guide PayPerClick Advertising Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play Entrepreneur Books 800CEOREAD Ultimate Guide Optimizing Your Website Buy From Ultimate Guide Optimizing Your Website Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play Entrepreneur Books 800CEOREAD Ultimate Guide Link Building Buy From Ultimate Guide Link Building Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play Entrepreneur Books 800CEOREAD Million Dollar Web Presence Buy From Million Dollar Web Presence Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play Entrepreneur Books 800CEOREAD OutcomeBased Marketing: New Rules Marketing Web Buy From OutcomeBased Marketing: New Rules Marketing Web Buy From Amazon Barnes Noble iBooks IndieBound BooksAMillion Google Play 800CEOREAD Latest Entrepreneur Company Advertise Brand Licensing Us Staff Contribute Reprints Licensing Products Women Entrepreneur Green Entrepreneur Ask An Expert Entrepreneur Insurance Franchise Webinars Publish Your Book Shop Editions United States India Asia Pacific Middle East Europe Espaol Georgia South Africa Get Magazine Join Our Newsletter Submit Terms Use Policy Site Map 2020 Entrepreneur Media, . . Ecommerce Major Ecommerce Trends Watch Out 2020 Ecommerce Spike Ecommerce Due Covid19: A Silver Lining Grade Warehousing? Ecommerce How Start Ecommerce Business Ecommerce Essential Tips Optimize Your Ecommerce Business Ecommerce How To Tap Into Rising Opportunities In Grocery Ecommerce? | 2,020 | [
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https://www.news18.com/news/india/2020-declared-year-of-artificial-intelligence-in-telangana-as-govt-signs-mous-with-cos-iits-2443623.html | 2020-01-02T00:00:00 | en | 2020 Declared Year of Artificial Intelligence in Telangana as Govt Signs MoUs with Cos, IITs - News18 | 2020 Declared Year of Artificial Intelligence in Telangana as Govt Signs MoUs with Cos, IITs - News18
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2020 Declared Year of Artificial Intelligence in Telangana as Govt Signs MoUs with Cos, IITs
The Telangana government has signed a number of MoUs with several companies and IITs of Kharagpur and Hyderabad for growth in the state. H Venkatesh | News18Updated:January 2, 2020, 8:10 PM IST
File photo of TRS leader and Telangana IT minister KT Rama Rao.
Hyderabad: Telangana Information Technology (IT) minister KT Rama Rao on Wednesday declared 2020 as the year of artificial intelligence (AI) in the state, expressing contentment over several agreements signed with noted companies and Indian Institute of Technology (IIT) Kharagpur for development in Telangana.
He also unveiled a poster and a logo to mark the year of AI at a programme in Hyderabad while IT Secretary Jayesh Ranjan inaugurated a website for the same.
The state government signed a number of memoranda of understanding (MoUs) with companies like Intel, Public Health Foundation of India (PHFI), Nvidia and Hexagon among others to boost IT and AI sectors.
The minister lauded the tie-up with IIT Kharagpur for setting up a centre for excellence in artificial intelligence in the state capital. IIT Hyderabad will also act as a strategic partner and provide infrastructure and basic facilities.
The minister said that the new businesses will be given all required permissions through the Telangana State Industrial Project Approval and Self-Certification System (TS-iPASS). The system was put in place by an act in 2014 for speedy processing of applications for various clearances required for setting up of industries in the state.
KT Rama Rao also launched pilot projects of registration and police departments on the occasion.
He hailed chief minister K Chandrashekhar Rao for his keenness to push AI to the next level for rapid growth and development in the state.
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ARN EU041913618 An initiative LIVE TV DownloadNews18 App English HomePoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosCricket TV ShowsTV VideosTravelBusinessHealth FitnessBlogsPodcastImmersivesFootballFoodStocksLok Sabha Elections 2019Assembly Elections 2019Assembly Elections 2018OpinionServicesWorldLifestyleBudget 2019SportsiReel AwardsLifeGoal Advisor AwardsLatestISL 2019LifestyleBigg Boss 13Vanity DiariesMoviesLifeGoal Advisor AwardsSwasth India English English Hindi Bengali Marathi Gujarati Kannada Tamil Malayalam TELUGU Punjabi Urdu Odia follow reach app store HomePoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosCricketTV Shows All Sections LIVE TV HomePoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosCricketTV ShowsTV VideosTravelBusinessHealth FitnessBlogsPodcastImmersivesFootballFoodStocksLok Sabha Elections 2019Assembly Elections 2019Assembly Elections 2018OpinionServicesWorldLifestyleBudget 2019SportsiReel AwardsLifeGoal Advisor AwardsLatestISL 2019LifestyleBigg Boss 13Vanity DiariesMoviesLifeGoal Advisor AwardsSwasth India LatestISL 2019LifestyleBigg Boss 13Vanity DiariesMoviesLifeGoal Advisor AwardsSwasth India Politics Bigg Boss 13MoviesPhotos 2020 Declared Year Artificial Intelligence Telangana Govt Signs MoUs Cos, IITsCongress Sevadal MP Stirs Row With Explosive Claim Savarkars Relationship With GodseResidents Maradu Apartment, Ordered Demolished SC, Begin Indefinite Fast For Govt InterventionDates IndoJapan Summit Will Finalised Very Soon, Says MEA News18 India 1min read 2020 Declared Year Artificial Intelligence Telangana Govt Signs MoUs Cos, IITs The Telangana government signed number MoUs companies IITs Kharagpur Hyderabad growth state. H Venkatesh News18Updated:January 2, 2020, 8:10 PM IST File photo TRS leader Telangana IT minister KT Rama Rao. Hyderabad: Telangana Information Technology IT minister KT Rama Rao Wednesday declared 2020 year artificial intelligence AI state, expressing contentment agreements signed noted companies Indian Institute Technology IIT Kharagpur development Telangana. He unveiled poster logo mark year AI programme Hyderabad IT Secretary Jayesh Ranjan inaugurated website same. The state government signed number memoranda understanding MoUs companies like Intel, Public Health Foundation India PHFI, Nvidia Hexagon boost IT AI sectors. The minister lauded tieup IIT Kharagpur setting centre excellence artificial intelligence state capital. IIT Hyderabad act strategic partner provide infrastructure basic facilities. The minister said new businesses given required permissions Telangana State Industrial Project Approval SelfCertification System TSiPASS. The place act 2014 speedy processing applications clearances required setting industries state. KT Rama Rao launched pilot projects registration police departments occasion. He hailed chief minister K Chandrashekhar Rao keenness push AI level rapid growth development state. Get best News18 delivered inbox subscribe News18 Daybreak. 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A Time Warner Company. . CNN CNN logo registered marks Cable News Network, LP LLLP, displayed permission. Use CNN andor logo derogate intellectual property rights Cable News Network respect them. Network18 Media Investments Ltd 2020. . | 2,020 | [
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https://nysenewstimes.com/global-artificial-intelligence-in-bfsi-market-2020-forecast-analysis-by-2025-ibm-baidu-brighterion-etc/ | 2020-03-17T00:00:00 | en | Global Artificial Intelligence in BFSI Market 2020 Forecast Analysis by 2025: IBM, Baidu, Brighterion, etc. – Nyse News Times |
Global Artificial Intelligence in BFSI Market 2020 Forecast Analysis by 2025: IBM, Baidu, Brighterion, etc. – Nyse News Times
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Global Artificial Intelligence in BFSI Market 2020 Forecast Analysis by 2025: IBM, Baidu, Brighterion, etc.
Sally Mach March 17, 2020
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Artificial Intelligence in BFSIArtificial Intelligence in BFSI INDUSTRYArtificial Intelligence in BFSI MARKETArtificial Intelligence in BFSI Market Data AnalysisArtificial Intelligence in BFSI Market ForecastArtificial Intelligence in BFSI Market OverviewArtificial Intelligence in BFSI Market playersArtificial Intelligence in BFSI Market Sale & PriceArtificial Intelligence in BFSI Market ScopeBaiduBrighterionDaily UpdatesGoogleIBMMicrosoftSAP
Research report incorporates the size of the global Artificial Intelligence in BFSI Market for the base year 2020 and the forecast between 2020 and 2025. Market value has been estimated considering the application and regional segments, market share, and size, while the forecast for each product type and application segment has been provided for the global and local markets and is detailed in the report abstract.
The Artificial Intelligence in BFSI report enlists detailed profiles of the key players to help you gain an insight into the competitive landscape of the Artificial Intelligence in BFSI Outlook. It further compiles new product analysis, financial overview, strategies and emerging marketing trends.
Major Manufacturer Detail: IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies, Megvii Technology
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The report entails a complete view of the world Artificial Intelligence in BFSI market by diversifying it in terms of application and region. These segments are examined in terms of current and future trends. Regional segmentation includes recent and future demand for North America, Asia- Pacific, Europe, and the Middle East. The report collectively covers specific application segments of the market in each region.
Artificial Intelligence in BFSI Market
Types of Artificial Intelligence in BFSI covered are: On-Premise, Cloud-based
Applications of Artificial Intelligence in BFSI covered are: Application A, Application B, Application C
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Regional Analysis For Artificial Intelligence in BFSI Market
North America (The 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.)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Table of Contents:
Study Coverage: It includes key manufacturers, key market segments, the scope of products offered in the global Artificial Intelligence in BFSI market, years considered, and study objectives. Additionally, it outlines the segmentation study provided in the report on the basis of the type of product and application.
Executive summary: It summarises key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
Production by Region: Here, the report details information related to import and export, production, revenue, and key players of all regional markets studied and examined.
Profile of Manufacturers: Each player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other key factors.
Reasons to buy:
• In-depth analysis of the market on global and regional levels.
• Major changes in market dynamics and competitive landscape.
• Segmentation on the basis of type, application, geography, and others.
• Historical and future market research in terms of size, share, growth, volume & sales.
• Major changes and assessment in market dynamics & developments.
• Industry size & share analysis with industry growth and trends.
• Emerging key segments and regions.
• Key business strategies by major market players and their key methods.
• The research report profiles size, share, trends and growth analysis of the Artificial Intelligence in BFSI Market on the global and regional levels.
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In conclusion, the Artificial Intelligence in BFSI Market report is a reliable source for accessing the Market data that will exponentially accelerate your business. The report provides the principle locale, economic scenarios with the item value, benefit, supply, limit, generation, request, Market development rate, and figure and so on. Besides, the report presents a new task, SWOT analysis, speculation attainability investigation, and venture return investigation.
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Acquire Market Research is a market research-based company empowering companies with data-driven insights. We provide Market Research Reports with accurate and well-informed data, Real-Time with Real Application. A good research methodology proves to be powerful and simplified information that applied right from day-to-day lives to complex decisions helps us navigate through with vision, purpose and well-armed strategies. At Acquire Market Research, we constantly strive for innovation in the techniques and the quality of analysis that goes into our reports.
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| Global Artificial Intelligence in BFSI Market 2020 Forecast Analysis by 2025: IBM, Baidu, Brighterion, etc. | Global Artificial Intelligence BFSI Market 2020 Forecast Analysis 2025: IBM, Baidu, Brighterion, etc. Nyse News Times Skip content Tuesday, March 17, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Global Artificial Intelligence BFSI Market 2020 Forecast Analysis 2025: IBM, Baidu, Brighterion, etc. Sally Mach March 17, 2020 No Comments Artificial Intelligence BFSIArtificial Intelligence BFSI INDUSTRYArtificial Intelligence BFSI MARKETArtificial Intelligence BFSI Market Data AnalysisArtificial Intelligence BFSI Market ForecastArtificial Intelligence BFSI Market OverviewArtificial Intelligence BFSI Market playersArtificial Intelligence BFSI Market Sale PriceArtificial Intelligence BFSI Market ScopeBaiduBrighterionDaily UpdatesGoogleIBMMicrosoftSAP Research report incorporates size global Artificial Intelligence BFSI Market base year 2020 forecast 2020 2025. Market value estimated considering application regional segments, market share, size, forecast product type application segment provided global local markets detailed report abstract. The Artificial Intelligence BFSI report enlists detailed profiles key players help gain insight competitive landscape Artificial Intelligence BFSI Outlook. It compiles new product analysis, financial overview, strategies emerging marketing trends. Major Manufacturer Detail: IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies, Megvii Technology Get Free PDF Sample Copy Click Here: The report entails complete view world Artificial Intelligence BFSI market diversifying terms application region. These segments examined terms current future trends. Regional segmentation includes recent future demand North America, Asia Pacific, Europe, Middle East. The report collectively covers specific application segments market region. Artificial Intelligence BFSI Market Types Artificial Intelligence BFSI covered are: OnPremise, Cloudbased Applications Artificial Intelligence BFSI covered are: Application A, Application B, Application C Use Corporate ID avail Discount Artificial Intelligence BFSI Market Report Regional Analysis For Artificial Intelligence BFSI Market North America The United States, Canada, Mexico Europe Germany, France, UK, Russia, Italy AsiaPacific China, Japan, Korea, India, Southeast Asia South America Brazil, Argentina, Colombia, etc. The Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria, South Africa Table Contents: Study Coverage: It includes key manufacturers, key market segments, scope products offered global Artificial Intelligence BFSI market, years considered, study objectives. Additionally, outlines segmentation study provided report basis type product application. Executive summary: It summarises key studies, market growth rate, competitive landscape, market drivers, trends, issues, macroscopic indicators. Production Region: Here, report details information related import export, production, revenue, key players regional markets studied examined. Profile Manufacturers: Each player profiled section studied basis SWOT analysis, products, production, value, capacity, key factors. Reasons buy: Indepth analysis market global regional levels. Major changes market dynamics competitive landscape. Segmentation basis type, application, geography, others. Historical future market research terms size, share, growth, volume sales. Major changes assessment market dynamics developments. Industry size share analysis industry growth trends. Emerging key segments regions. Key business strategies major market players key methods. The research report profiles size, share, trends growth analysis Artificial Intelligence BFSI Market global regional levels. Get Full Report Description, TOC, Table Figures, Chart, etc. In conclusion, Artificial Intelligence BFSI Market report reliable source accessing Market data exponentially accelerate business. The report provides principle locale, economic scenarios item value, benefit, supply, limit, generation, request, Market development rate, figure on. Besides, report presents new task, SWOT analysis, speculation attainability investigation, venture return investigation. About us: Acquire Market Research market researchbased company empowering companies datadriven insights. We provide Market Research Reports accurate wellinformed data, RealTime Real Application. A good research methodology proves powerful simplified information applied right daytoday lives complex decisions helps navigate vision, purpose wellarmed strategies. At Acquire Market Research, constantly strive innovation techniques quality analysis goes reports. Us: Sally Mach 555 Madison Avenue, 5th Floor, Manhattan, New York, 10022 USA Phone No.: 1 800 6635579 Email ID: [emailprotected] Leave Reply Cancel reply Your email address published. 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We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://aindustryreports.com/2020/01/18/artificial-intelligence-ai-robots-market-2019-global-trends-emerging-technologies-and-growth-analysis-by-forecast-to-2025/ | 2020-01-18T00:00:00 | en | Artificial Intelligence (AI) Robots Market 2019 Global Trends, Emerging Technologies and Growth Analysis by Forecast to 2025 – Market Industry Reports |
Artificial Intelligence (AI) Robots Market 2019 Global Trends, Emerging Technologies and Growth Analysis by Forecast to 2025 – Market Industry Reports
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Artificial Intelligence (AI) Robots Market 2019 Global Trends, Emerging Technologies and Growth Analysis by Forecast to 2025
[email protected] - January 18, 2020 - Uncategorized
Artificial Intelligence (AI) Robots Market Forecast 2019-2025 report includes Overview, Classification, Industry Value, Price, Cost and Gross Profit. It also offers in-intensity insight of the Artificial Intelligence (AI) Robots industry masking all vital parameters along with, Drivers, Market Trends, Market Dynamics, Opportunities, Competitive Landscape, Price and Gross Margin, Artificial Intelligence (AI) Robots market Share via Region, New Challenge Feasibility Evaluation, Analysis and Guidelines on New mission Investment.
Intellectual of Artificial Intelligence (AI) Robots Market: The Artificial Intelligence (AI) Robots market report analyzes the opportunities in the global market, analyzing the data on a historical basis, estimated data for 2018, and forecasted data till the year 2025. Market analysis includes data in terms of both, value (US$) and volume (MT). The market outlook of the Artificial Intelligence (AI) Robots market report covers feed industry overview, global industry outlook, macroeconomic outlook, and forecasted factors. The market dynamics section includes key drivers, trends, and restraints prohibiting the growth of the Artificial Intelligence (AI) Robots market, value chain analysis, and others
Get Free Sample PDF (including TOC, Tables and Figures) of Artificial Intelligence (AI) Robots [email protected] https://www.researchmoz.us/enquiry.php?type=S&repid=2235071
Artificial Intelligence (AI) Robots Market Competition by Manufacturers (2019-2025)
Artificial Intelligence (AI) Robots Market Share of Top 3 and Top 5 Manufacturers, Artificial Intelligence (AI) Robots Market by Capacity, Production and Share by Manufacturers, Revenue and Share by Manufacturers, Manufacturers Manufacturing Base Distribution, Sales Area, Product Type, Market Competitive Situation and Trends, Market Concentration Rate
Artificial Intelligence (AI) Robots market competition by top manufacturers, with manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors for each manufacturer; the top players including:
ABB, Alphabet, Amazon, Asustek Computer, Blue Frog Robotics, Bsh Hausgeräte, Fanuc, Hanson Robotics, Harman International Industries, IBM, Intel, Jibo, Kuka, LG, Mayfield Robotics, Microsoft, Neurala, Nvidia, Promobot, Softbank, Xilinx
Based on Product Type, Artificial Intelligence (AI) Robots market report displays the manufacture, profits, value, and market segment and growth rate of each type, covers:
Service
Industria
Based on end users/applications, Artificial Intelligence (AI) Robots market report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate for each application, this can be divided into:
Public Relations
Stock Management
Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.researchmoz.us/enquiry.php?type=E&repid=2235071
The Key Insights Data of Artificial Intelligence (AI) Robots Market is Available in This Report:
-The report provides key statistics on the market status of the Artificial Intelligence (AI) Robots market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
-Analysis of upstream raw materials, downstream demand, and current Artificial Intelligence (AI) Robots market dynamics is also carried out.
-The report provides a basic overview of the Artificial Intelligence (AI) Robots market including its definition, applications and manufacturing technology.
-The report presents the company profile, product specifications, capacity, production value, and 2013-2019 market shares for key vendors.
-The total Artificial Intelligence (AI) Robots market is further divided by company, by country, and by application/type for the competitive landscape analysis.
-The report estimates 2019-2025 market development trends of Artificial Intelligence (AI) Robots market.
The report makes some important proposals for a new project of Artificial Intelligence (AI) Robots Industry before evaluating its feasibility.
Contact:
ResearchMoz Mr. Nachiket Ghumare, Tel: +1-518-621-2074 USA-Canada Toll Free: 866-997-4948 Email: [email protected]
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| Artificial Intelligence (AI) Robots Market 2019 Global Trends, Emerging Technologies and Growth Analysis by Forecast to 2025 | Artificial Intelligence AI Robots Market 2019 Global Trends, Emerging Technologies Growth Analysis Forecast 2025 Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports Artificial Intelligence AI Robots Market 2019 Global Trends, Emerging Technologies Growth Analysis Forecast 2025 [emailprotected] January 18, 2020 Uncategorized Artificial Intelligence AI Robots MarketForecast 20192025 report includesOverview, Classification, Industry Value, Price, Cost Gross Profit.It offers inintensity insight Artificial Intelligence AI Robots industry masking vital parameters with,Drivers, Market Trends, Market Dynamics, Opportunities, Competitive Landscape, Price Gross Margin, Artificial Intelligence AI Robots market Share Region, New Challenge Feasibility Evaluation, Analysis Guidelines New mission Investment. Intellectual Artificial Intelligence AI Robots Market: The Artificial Intelligence AI Robots market report analyzes opportunities global market, analyzing data historical basis, estimated data 2018, forecasted data till year 2025. Market analysis includes data terms both, value US volume MT. The market outlook Artificial Intelligence AI Robots market report covers feed industry overview, global industry outlook, macroeconomic outlook, forecasted factors. The market dynamics section includes key drivers, trends, restraints prohibiting growth Artificial Intelligence AI Robots market, value chain analysis, Get Free Sample PDF including TOC, Tables Figuresof Artificial Intelligence AI Robots [emailprotected] Artificial Intelligence AI Robots Market Competition Manufacturers 20192025 Artificial Intelligence AI Robots Market Share Top 3 Top 5 Manufacturers, Artificial Intelligence AI Robots Market Capacity, Production Share Manufacturers, Revenue Share Manufacturers, Manufacturers Manufacturing Base Distribution, Sales Area, Product Type, Market Competitive Situation Trends, Market Concentration Rate Artificial Intelligence AI Robots market competition manufacturers, manufacturers, raw material suppliers, equipment suppliers, end users, traders, distributors manufacturer; players including: ABB, Alphabet, Amazon, Asustek Computer, Blue Frog Robotics, Bsh Hausgerte, Fanuc, Hanson Robotics, Harman International Industries, IBM, Intel, Jibo, Kuka, LG, Mayfield Robotics, Microsoft, Neurala, Nvidia, Promobot, Softbank, Xilinx Based onProduct Type, Artificial Intelligence AI Robots market report displays manufacture, profits, value, market segment growth rate type, covers: Service Industria Based onend usersapplications, Artificial Intelligence AI Robots market report focuses status outlook major applicationsend users, sales volume, market share growth rate application, divided into: Public Relations Stock Management Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] The Key InsightsData Artificial Intelligence AI Robots Market Available This Report: The report provides key statistics market status Artificial Intelligence AI Robots market manufacturers valuable source guidance direction companies individuals interested industry. Analysis upstream raw materials, downstream demand, current Artificial Intelligence AI Robots market dynamics carried out. The report provides basic overview Artificial Intelligence AI Robots market including definition, applications manufacturing technology. The report presents company profile, product specifications, capacity, production value, 20132019 market shares key vendors. The total Artificial Intelligence AI Robots market divided company, country, applicationtype competitive landscape analysis. The report estimates 20192025 market development trends Artificial Intelligence AI Robots market. The report makes important proposals new project Artificial Intelligence AI Robots Industry evaluating feasibility. : ResearchMoz Mr. Nachiket Ghumare, Tel: 15186212074 USACanada Toll Free: 8669974948 Email:[emailprotected] Browse More Reports Visit @ Post navigation Previous PostPrevious Pressure Release Valve PRV Market Size, Top KeyPlayers, Opportunity, Share Forecast 20192025Next PostNext Sports Turf Equipment MarketNet Worth Top CompaniesHusqvarna, Stihl, John Deere, MTD. 2020 Market Industry Reports Powered FilaThemes | 2,020 | [
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https://newsparent.com/computer-vision-technologies-market-by-latest-trend-share-size-application-growth-and-forecast-to-2026-by-top-key-players-cognex-corporation-us-basler-ag/ | 2020-02-27T00:00:00 | en | Computer Vision Technologies Market By Latest Trend, Share, Size, Application, Growth and Forecast to 2026 By Top Key Players Cognex Corporation (US), Basler AG – News Parent |
Computer Vision Technologies Market By Latest Trend, Share, Size, Application, Growth and Forecast to 2026 By Top Key Players Cognex Corporation (US), Basler AG – News Parent
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February 27, 2020 - by Data Bridge Market Research - Leave a Comment
Computer Vision Technologies market report is a synopsis study of the Semiconductors and Electronics industry which explains the market definition, classifications, applications, engagements, and global industry trends.
The Computer Vision Technologies market report precisely focuses on all the key players and brands since their moves— recent developments, products launches, research, joint ventures, mergers, and acquisitions — are anticipated to make a difference when it comes to sales, import, export, and revenue at a global level. This report covers all the company profiles of the major players and brands while explaining the market drivers and restraints using SWOT analysis.
Download Computer Vision Technologies Research Report in PDF Brochure@ (Note: Kindly use your business/corporate email id to get priority): https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-computer-vision-technologies-market&sc
The Global Computer Vision Technologies Market is expected to reach USD 19.37 Billion by 2025, from USD 10.70 Billion in 2017, growing at a CAGR of 7.70% during the forecast period of 2018 to 2025. The upcoming market report contains data for historic year 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.
Research strategies and tools used of Computer Vision Technologies Market:
This Computer Vision Technologies market research report helps the readers to know about the overall market scenario, strategy to further decide on this market project. It utilizes SWOT analysis, Porter’s Five Forces Analysis and PEST analysis.
Details Key Players of Computer Vision Technologies Market -:
The report incorporates key player profiles along with the information of the strategies they are adopting to remain ahead in the competition.
List of few players are-: Cognex Corporation (US), Basler AG (Germany), KEYENCE CORPORATION. (Japan), National Instruments (US), Sony (Japan), Teledyne Technologies Incorporated. (US), Texas Instruments Incorporated.(US), Intel Corporation (US), Baumer Optronic (Germany), Tordivel AS. (Norway), ISRA VISION (Germany), MVTec Software GmbH (Germany), MediaTek Inc. (Taiwan), Cadence Design Systems, Inc. (US), CEVA Logistics (US), Synopsys, Inc. (US), SICK AG (Germany) and JAI A/S (Denmark).
Drivers & Restraints of Computer Vision Technologies Market-:
Several market drivers, market restraints, along with opportunities and challenges are taken into consideration under market overview which gives valuable insights to businesses for taking right actions. Businesses can surely rely upon this first-class market report to accomplish an utter success.
Breakdown of Computer Vision Technologies Market-:
The Computer Vision Technologies market report performs segmentation which is done on the basis of type, end-user, and manufacturers and applications to fully and deeply research and reveal market profile and prospects.
Global Computer Vision Technologies Market,Computer Vision technologies market by Component (Hardware (Camera, Frame Grabber, Optics, Processor) and Software (Deep Learning and Traditional Software)), Product (PC Based and Smart Camera Based), Application (Mobile robots, Mobile Smart Devices Medical Vision, others)
Regional Insights-
Regional analysis helps the market players to take an exhaustive assessment of the Computer Vision Technologies market region wise so that it becomes easy for them to distinguish and investigate the developing pattern and hidden opportunities all over the world.
Regional Coverage of the Market
South America
North America
Middle east and Africa
Asia and Pacific region
Europe
Table of Contents – Major Key Points
Part 01: Computer Vision Technologies Market Overview
Part 02: Manufacturers Profiles
Part 03: Global Computer Vision Technologies Market Competition, by Players
Part 04: Global Computer Vision Technologies Market Size by Regions
Part 05: North America Computer Vision Technologies Revenue by Countries
Part 06: Europe Computer Vision Technologies Revenue by Countries
Part 07: Asia-Pacific Computer Vision Technologies Revenue by Countries
Part 08: South America Computer Vision Technologies Revenue by Countries
Part 09: Middle East and Africa Revenue Computer Vision Technologies by Countries
Continued….
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request Detailed [email protected] https://www.databridgemarketresearch.com/toc/?dbmr=global-computer-vision-technologies-market&sc
Report synopsis
To analyze the market size of the market and infer the key trends from it.
Industry Chain Suppliers of Computer Vision Technologies market with Contact Information
Historical, current and projected market size in terms of volume and value
In-depth market segmentation
Comprehensive quantitative analysis of the industry is provided for the period of 2018-2025 to assist stakeholders to capitalize on the prevailing market opportunities.
Buy [email protected] https://www.databridgemarketresearch.com/checkout/buy/enterprise/global-computer-vision-technologies-market&sc
Yes, Report can be customized to meet the client’s requirements. Please connect with us ([email protected]), we will ensure that you get a report that suits your needs.
About Data Bridge Market Research:
An absolute way to forecast what future holds is to comprehend the trend today!
Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market.
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TaggedComputer Vision Technologies
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| Computer Vision Technologies Market By Latest Trend, Share, Size, Application, Growth and Forecast to 2026 By Top Key Players Cognex Corporation (US), Basler AG | Computer Vision Technologies Market By Latest Trend, Share, Size, Application, Growth Forecast 2026 By Top Key Players Cognex Corporation US, Basler AG News Parent Skip content Top Menu February 27, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Electronics Emerging News Featured Finance Market ReportsComputer Vision Technologies Market By Latest Trend, Share, Size, Application, Growth Forecast 2026 By Top Key Players Cognex Corporation US, Basler AG February 27, 2020 Data Bridge Market Research Leave Comment Computer Vision Technologiesmarket report synopsis study Semiconductors Electronics industry explains market definition, classifications, applications, engagements, global industry trends. The Computer Vision Technologies market report precisely focuses key players brands moves recent developments, products launches, research, joint ventures, mergers, acquisitions anticipated difference comes sales, import, export, revenue global level. This report covers company profiles major players brands explaining market drivers restraints SWOT analysis. Download Computer Vision Technologies Research Report PDF Brochure@ Note: Kindly use businesscorporate email id priority: The Global Computer Vision Technologies Market expected reach USD 19.37 Billion 2025, USD 10.70 Billion 2017, growing CAGR 7.70 forecast period 2018 2025. The upcoming market report contains data historic year 2016, base year calculation 2017 forecast period 2018 2025. Research strategies tools Computer Vision Technologies Market: This Computer Vision Technologies market research report helps readers know overall market scenario, strategy decide market project. It utilizes SWOT analysis, Porters Five Forces Analysis PEST analysis. Details Key Players Computer Vision Technologies Market : The report incorporates key player profiles information strategies adopting remain ahead competition. List players are:Cognex Corporation US, Basler AG Germany, KEYENCE CORPORATION. Japan, National Instruments US, Sony Japan, Teledyne Technologies orporated. US, Texas Instruments orporated.US, Intel Corporation US, Baumer Optronic Germany, Tordivel AS. Norway, ISRA VISION Germany, MVTec Software GmbH Germany, MediaTek . Taiwan, Cadence Design Systems, . US, CEVA Logistics US, Synopsys, . US, SICK AG Germany JAI AS Denmark. Drivers Restraints Computer Vision Technologies Market: Several market drivers, market restraints, opportunities challenges taken consideration market overview gives valuable insights businesses taking right actions. Businesses surely rely firstclass market report accomplish utter success. Breakdown Computer Vision Technologies Market: The Computer Vision Technologies market report performs segmentation basis type, enduser, manufacturers applications fully deeply research reveal market profile prospects. Global Computer Vision Technologies Market,Computer Vision technologies market Component Hardware Camera, Frame Grabber, Optics, Processor Software Deep Learning Traditional Software, Product PC Based Smart Camera Based, Application Mobile robots, Mobile Smart Devices Medical Vision, Regional Insights Regional analysis helps market players exhaustive assessment Computer Vision Technologies market region wise easy distinguish investigate developing pattern hidden opportunities world. Regional Coverage Market South America North America Middle east Africa Asia Pacific region Europe Table Contents Major Key Points Part 01: Computer Vision Technologies Market Overview Part 02: Manufacturers Profiles Part 03: Global Computer Vision Technologies Market Competition, Players Part 04: Global Computer Vision Technologies Market Size Regions Part 05: North America Computer Vision Technologies Revenue Countries Part 06: Europe Computer Vision Technologies Revenue Countries Part 07: AsiaPacific Computer Vision Technologies Revenue Countries Part 08: South America Computer Vision Technologies Revenue Countries Part 09: Middle East Africa Revenue Computer Vision Technologies Countries Continued. New Business Strategies, Challenges Policies mentioned Table Content, Request Detailed[emailprotected] Report synopsis To analyze market size market infer key trends it. Industry Chain Suppliers Computer Vision Technologies market Information Historical, current projected market size terms volume value Indepth market segmentation Comprehensive quantitative analysis industry provided period 20182025 assist stakeholders capitalize prevailing market opportunities. Buy[emailprotected] Yes, Report customized meet clients requirements. Please connect [emailprotected], ensure report suits needs. 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. 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https://www.news-medical.net/news/20200609/New-machine-learning-approach-classifies-common-type-of-brain-tumor.aspx | 2020-06-09T00:00:00 | en |
New machine learning approach classifies common type of brain tumor
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New machine learning approach classifies common type of brain tumor
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New machine learning approach classifies common type of brain tumor
Download PDF Copy
Reviewed by James Ives, M.Psych. (Editor)Jun 9 2020
A new machine learning approach classifies a common type of brain tumor into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access.
Scientists in India and Japan, including from Kyoto University's Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual patients.
Gliomas are a common type of brain tumor affecting glial cells, which provide support and insulation for neurons. Patient treatment varies depending on the tumor's aggressiveness, so it's important to get the diagnosis right for each individual.
Radiologists obtain a very large amount of data from MRI scans to reconstruct a 3D image of the scanned tissue. Much of the data available in MRI scans cannot be detected by the naked eye, such as details related to the tumor shape, texture, or the image's intensity.
Related StoriesOut-of-sync gamma waves in the brain may underlie learning issues in psychiatric disordersBrain activity studies are not as useful as previously thoughtIncidence of intracerebral hemorrhages increasing in older people, study findsArtificial intelligence (AI ) algorithms help extract this data. Medical oncologists have been using this approach, called radiomics, to improve patient diagnoses, but accuracy still needs to be enhanced.
iCeMS bioengineer Ganesh Pandian Namasivayam collaborated with Indian data scientist Balasubramanian Raman from Roorkee to develop a machine learning approach that can classify gliomas into low or high grade with 97.54% accuracy.
Low grade gliomas include grade I pilocytic astrocytoma and grade II low-grade glioma. These are the less aggressive and less malignant of the glioma tumors. High grade gliomas include grade III malignant glioma and grade IV glioblastoma multiforme, which are much more aggressive and more malignant with a relatively short post-diagnosis survival time.
The choice of patient treatment largely depends on being able to determine the glioma's grading.
The team, including Rahul Kumar, Ankur Gupta and Harkirat Singh Arora, used a dataset from MRI scans belonging to 210 people with high grade gliomas and another 75 with low grade gliomas.
They developed an approach called CGHF, which stands for: computational decision support system for glioma classification using hybrid radiomics and stationary wavelet-based features.
They chose specific algorithms for extracting features from some of the MRI scans and then trained another predictive algorithm to process this data and classify the gliomas. They then tested their model on the rest of the MRI scans to assess its accuracy.
"Our method outperformed other state-of-the-art approaches for predicting glioma grades from brain MRI scans," says Balasubramanian. "This is quite considerable."
We hope AI helps develop a semi-automatic or automatic machine predictive software model that can help doctors, radiologists, and other medical practitioners tailor the best approaches for their individual patients."
Ganesh Pandiyan Namasivayam, iCeMS Bioengineer, Kyotu University
Source:Kyoto UniversityJournal reference:Kumar, R., et al. (2020) CGHF: A Computational Decision Support System for Glioma Classification Using Hybrid Radiomics- and Stationary Wavelet-Based Features. IEEE Access. doi.org/10.1109/ACCESS.2020.2989193.
Posted in: Device / Technology News | Medical Research News | Medical Condition News
Tags: Artificial Intelligence, Astrocytoma, Brain, Brain Tumor, Cell, Eye, Glioblastoma, Glioblastoma Multiforme, Glioma, Gliomas, Machine Learning, Malignant, Neurons, Tumor
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| New machine learning approach classifies common type brain tumor Medical Home Life Sciences Home Become Member Medical Home Life Sciences Home About Coronavirus News Health AZ Drugs Medical Devices Interviews White Papers More... 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Meet Team Advertise White Papers MediKnowledge Newsletters Health Personal Care Meet Team Advertise Webinars Meet Team Advertise Menu New machine learning approach classifies common type brain tumor Download PDF Copy Reviewed James Ives, M.Psych. EditorJun 9 2020 A new machine learning approach classifies common type brain tumor low high grades 98 accuracy, researchers report journal IEEE Access. Scientists India Japan, including Kyoto Universitys Institute Integrated CellMaterial Sciences iCeMS, developed method help clinicians choose effective treatment strategy individual patients. Gliomas common type brain tumor affecting glial cells, provide support insulation neurons. Patient treatment varies depending tumors aggressiveness, important diagnosis right individual. Radiologists obtain large data MRI scans reconstruct 3D image scanned tissue. Much data available MRI scans detected naked eye, details related tumor shape, texture, images intensity. Related StoriesOutofsync gamma waves brain underlie learning issues psychiatric disordersBrain activity studies useful previously thoughtidence intracerebral hemorrhages increasing older people, study findsArtificial intelligence AI algorithms help extract data. Medical oncologists approach, called radiomics, improve patient diagnoses, accuracy needs enhanced. iCeMS bioengineer Ganesh Pandian Namasivayam collaborated Indian data scientist Balasubramanian Raman Roorkee develop machine learning approach classify gliomas low high grade 97.54 accuracy. Low grade gliomas include grade I pilocytic astrocytoma grade II lowgrade glioma. These aggressive malignant glioma tumors. High grade gliomas include grade III malignant glioma grade IV glioblastoma multiforme, aggressive malignant relatively short postdiagnosis survival time. The choice patient treatment largely depends able determine gliomas grading. The team, including Rahul Kumar, Ankur Gupta Harkirat Singh Arora, dataset MRI scans belonging 210 people high grade gliomas 75 low grade gliomas. They developed approach called CGHF, stands for: computational decision support glioma classification hybrid radiomics stationary waveletbased features. They chose specific algorithms extracting features MRI scans trained predictive algorithm process data classify gliomas. They tested model rest MRI scans assess accuracy. Our method outperformed stateoftheart approaches predicting glioma grades brain MRI scans, says Balasubramanian. This considerable. We hope AI helps develop semiautomatic automatic machine predictive software model help doctors, radiologists, medical practitioners tailor best approaches individual patients. Ganesh Pandiyan Namasivayam, iCeMS Bioengineer, Kyotu University Source:Kyoto UniversityJournal reference:Kumar, R., et al. 2020 CGHF: A Computational Decision Support System Glioma Classification Using Hybrid Radiomics Stationary WaveletBased Features. IEEE Access. 10.1109ACCESS.2020.2989193. Posted in: Device Technology News Medical Research News Medical Condition News Tags: Artificial Intelligence, Astrocytoma, Brain, Brain Tumor, Cell, Eye, Glioblastoma, Glioblastoma Multiforme, Glioma, Gliomas, Machine Learning, Malignant, Neurons, Tumor Comments 0 Download PDF Copy Read in:EnglishEspaolFranaisPortugusItaliano Suggested Reading Study examines cardiorespiratory fitness body composition relate brain healthStudy shows psychedelic drug psilocybin works brainAI expand role chest Xray imaging COVID19 diagnosisResearchers use singlecellresolution technologies map brain genes humansEffects chronic stress associated increased inflammatory signaling brain circuitsNicotine promotes spread lung cancer cells brain, study findsResearchers link strokerelated brain blood vessel abnormality gut bacteriaNew analysis supports firstline stereotactic radiosurgery small cell lung cancer Comments The opinions expressed views writer necessarily reflect views opinions News Medical. 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] | 1 | POSITIVE | 647 |
https://www.financialexpress.com/industry/technology/microsoft-365-uses-ai-to-help-deepen-people-connections-in-time-of-novel-coronavirus-available-from-april-21/1914679/ | 2020-03-31T00:00:00 | en | Microsoft 365 uses AI to help deepen people connections in time of novel coronavirus, available from April 21 - The Financial Express | Microsoft 365 uses AI to help deepen people connections in time of novel coronavirus, available from April 21 - The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSMEReal EstateBrandwagonIndia Microsoft 365 uses AI to help deepen people connections in time of novel coronavirus, available from April 21By: Saurabh Singh | Published: March 31, 2020 2:27:36 PMMicrosoft 365 Personal and Family (of six) subscriptions will be available for buying worldwide from April 21 at a price of Rs 4,199 and Rs 5,299 a year.Office 365 is now Microsoft 365. (Photo credit: Reuters)Office 365 is now Microsoft 365 so it can “better help people make the most of their time, connect and protect the ones they love, as well as develop and grow.” While core Office 365 apps like Word, Excel, and PowerPoint will continue to be at the heart of the overall experience, Microsoft 365 will see the Redmond giant also highlighting Teams, Stream, Forms, Planner, and Skype, its AI and cloud-based tools that have become all the more relevant now as more and more people stay and work from home in the wake of the global novel coronavirus outbreak.Microsoft 365 Personal and Family (of six) subscriptions will be available for buying worldwide from April 21 at a price of Rs 4,199 and Rs 5,299 a year respectively. Microsoft says the Office 365 refresh will be fully rolled out and will reach over 38 million ‘existing’ subscribers by April 21 as well.Related NewsCoronavirus lockdown: BSNL, MTNL extend prepaid validity till April 20, Airtel till April 17Coronavirus lockdown: Airtel extends prepaid validity for 80 million 'under-privileged’ subscribers till April 17ICEA urges government of India to allow online sales of mobiles, PCs as essential service during coronavirus lockdown“Now more than ever, as many of us work and learn remotely, we are acutely aware of all the different ways life can interrupt work and work can interrupt life. It’s never been more important to stay connected and on top of the things that matter,” Yusuf Mehdi, Corporate Vice President, Windows and Devices Group said in a statement.Microsoft believes that AI can help deepen people’s connections in time of novel coronavirus. Which is why it’s infusing more and more of it inside Microsoft 365. For instance, Microsoft is bringing an editor tool to both Word and Outlook, and also to the Edge and Google Chrome as a standalone browser extension. This editor tool can speak 20 languages and offers automatic suggestions to improve your grammar and style (of writing) so your text offers more clarity. PowerPoint is similarly getting a ‘coach’ to correct monotone pitch and refine speeches. Subscribers will also get ‘exclusive’ access to over 8,000 images and 175 looping videos from Getty Images, 300 new fonts, 2,800 new icons and over 200 new premium templates in Microsoft 365.Microsoft is also working on two new features that will be available as a free preview initially and then eventually ‘only’ to Microsoft 365 subscribers. The first is a Microsoft Family Safety app that’s said to be designed to keep families safe across the digital and physical worlds by offering them the tools and insights to discuss healthier habits. How, we don’t know yet, although Microsoft says that the app will help manage screen time “across Windows PCs, Android, and Xbox while providing parents a peace of mind when the kids are not home.”Secondly, Microsoft is working to make Teams something like a ‘one stop shop’ affair for both home and work. The new Teams app will allow users to “connect in group chats, make video calls, collaborate over shared to-do lists, assign tasks to specific people and coordinate schedules, as well as share photos and videos all in one place,” according to Microsoft.Get live Stock Prices from BSE and NSE 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.HomeINDUSTRYTECHNOLOGYMicrosoft 365 uses AI to help deepen people connections in time of novel coronavirus available from April 21Advertisement Stock MarketMost ReadCoronavirus cases rise to 1,251, death toll 32; no community spread so far, says GovtCOVID-19: What should students from class 12, who might soon be taking board exams, do?Should one invest in gold now? How much and where to invest – Find outCoronavirus found in pangolins smuggled into China: StudyWay to go! Indian Railways prepares isolation coaches, patient cabins in trains as COVID-19 quarantine facility; see picsMarket LIVE: Sensex ends 1,375 pts down as sell-off deepens in last hour; Fitch cuts India GDP growth forecastMahabharat returns on DD after 32 years: Here are some interesting facts about the iconic showActing Responsibly: Amitabh Bachchan can learn a thing or two from Jurgen Klopp on responsible celebrity behaviourPost Office Savings Schemes: Charges you should be aware ofCovid 19 treatment: French expert says second study shows malaria drug helps fight coronavirusAdvertisementBudget 2020Budget 2020 hasn't violated fiscal discipline: FM SitharamanBudget 2020 was disappointing for lacking vision; but fiscal, taxation measures welcome: EAC-PM member Ashima GoyalBudget 2020: FM Nirmala Sitharaman says govt willing to do more beyond Union Budget to boost growthBudget 2020: FM says green shoots of recovery visible, points at worse macro-economic fundamentals under UPA Budget and the economy: What can we expect after this Budget?Budget 2020: FM Sitharaman takes on P Chidambaram over defence budget allocationBudget 2020 proposals on DDT, personal tax not to impact MF industry: Franklin TempletonBudget 2020: Chidambaram slams Modi govt; says economy close to collapse, unemployment making India poorerBudget 2020: How ESOP tax changes will benefit start-up employeesEconomic Survey 2020: Fudging food and fertiliser subsidyAdvertisement Switch to Hindi Edition HomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking & FinanceTechnologySME/Start-upsJobsEducationMutual FundsMoneyMoneyInsuranceIncome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaReal EstateSportsLifestyleLifestyleTravel & TourismHealthScienceFrom The PrintInternationalEdits & ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE@campusBrand WagonToday’s PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1Coronavirus lockdown: Airtel extends prepaid validity for 80 million ‘under-privileged’ subscribers till April 172ICEA urges government of India to allow online sales of mobiles, PCs as essential service during coronavirus lockdown3New app built by IIT Bombay team can track down asymptomatic COVID-19 patients leaving quarantineSwitch to Hindi EditionStay connectedMobile AppsTop TrendingNew 2020 Hyundai i20Share Market LIVEBest Tax Saving Tips:Toyota Covid package for DealersNational Pension SystemCoronavirus Latest UpdatesLatest 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 AwardsIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemapPrivacy PolicyContact UsCopyright ©
The Indian Express [P] Ltd. All Rights Reserved | Microsoft 365 uses AI to help deepen people connections in time of novel coronavirus, available from April 21 | Microsoft 365 uses AI help deepen people connections time novel coronavirus, available April 21 The Financial Express HomeMarketsStocksIndustryEconomyMoneyAutoInfraSMEReal EstateBrandwagonIndia Microsoft 365 uses AI help deepen people connections time novel coronavirus, available April21By: Saurabh Singh Published: March 31, 2020 2:27:36 PMMicrosoft 365 Personal Family subscriptions available buying worldwide April 21 price Rs 4,199 Rs 5,299 year.Office 365 Microsoft 365. Photo credit: ReutersOffice 365 Microsoft 365 better help people time, connect protect ones love, develop grow. While core Office 365 apps like Word, Excel, PowerPoint continue heart overall experience, Microsoft 365 Redmond giant highlighting Teams, Stream, Forms, Planner, Skype, AI cloudbased tools relevant people stay work home wake global novel coronavirus outbreak.Microsoft 365 Personal Family subscriptions available buying worldwide April 21 price Rs 4,199 Rs 5,299 year respectively. Microsoft says Office 365 refresh fully rolled reach 38 million existing subscribers April 21 well.Related NewsCoronavirus lockdown: BSNL, MTNL extend prepaid validity till April 20, Airtel till April 17Coronavirus lockdown: Airtel extends prepaid validity 80 million underprivileged subscribers till April 17ICEA urges government India allow online sales mobiles, PCs essential service coronavirus lockdownNow ever, work learn remotely, acutely aware different ways life interrupt work work interrupt life. Its important stay connected things matter, Yusuf Mehdi, Corporate Vice President, Windows Devices Group said statement.Microsoft believes AI help deepen peoples connections time novel coronavirus. Which infusing inside Microsoft 365. For instance, Microsoft bringing editor tool Word Outlook, Edge Google Chrome standalone browser extension. This editor tool speak 20 languages offers automatic suggestions improve grammar style writing text offers clarity. PowerPoint similarly getting coach correct monotone pitch refine speeches. rs exclusive access 8,000 images 175 looping videos Getty Images, 300 new fonts, 2,800 new icons 200 new premium templates Microsoft 365.Microsoft working new features available free preview initially eventually Microsoft 365 subscribers. The Microsoft Family Safety app thats said designed families safe digital physical worlds offering tools insights discuss healthier habits. How, dont know yet, Microsoft says app help manage screen time Windows PCs, Android, Xbox providing parents peace mind kids home.Secondly, Microsoft working Teams like stop shop affair home work. The new Teams app allow users connect group chats, video calls, collaborate shared todo lists, assign tasks specific people coordinate schedules, share photos videos place, according Microsoft.Get live Stock Prices BSE NSE latest NAV, portfolio Mutual Funds, calculate tax ome Tax Calculator, know markets Top Gainers, Top Losers Best Equity Funds. Like Facebook follow Twitter.HomeINDUSTRYTECHNOLOGYMicrosoft 365 uses AI help deepen people connections time novel coronavirus available Aprilnbsp21AdvertisementStock MarketMost ReadCoronavirus cases rise 1,251, death toll 32; community spread far, says GovtCOVID19: What students class 12, soon taking board exams, do?Should invest gold now? How invest Find outCoronavirus pangolins smuggled China: StudyWay Indian Railways prepares isolation coaches, patient cabins trains COVID19 quarantine facility; picsMarket LIVE: Sensex ends 1,375 pts selloff deepens hour; Fitch cuts India GDP growth forecastMahabharat returns DD 32 years: Here interesting facts iconic showActing Responsibly: Amitabh Bachchan learn thing Jurgen Klopp responsible celebrity behaviourPost Office Savings Schemes: Charges aware ofCovid 19 treatment: French expert says second study shows malaria drug helps fight coronavirusAdvertisementBudget 2020Budget 2020 violated fiscal discipline: FM SitharamanBudget 2020 disappointing lacking vision; fiscal, taxation measures welcome: EACPM member Ashima GoyalBudget 2020: FM Nirmala Sitharaman says govt willing Union Budget boost growthBudget 2020: FM says green shootsof recovery visible, points worse macroeconomicfundamentals UPABudget economy: What expect Budget?Budget 2020: FM Sitharaman takes P Chidambaram defence budget allocationBudget 2020 proposals DDT, personal tax impact MF industry: Franklin TempletonBudget 2020: Chidambaram slams Modi govt; says economy close collapse, unemployment making India poorerBudget 2020: How ESOP tax changes benefit startup employeesEconomic Survey 2020: Fudging food fertiliser subsidyAdvertisement Switch Hindi Edition HomeMarkets MarketsCafeinvestCommoditiesIpo NewsStocksEconomyTechAutoIndustryIndustryBanking FinanceTechnologySMEStartupsJobsEducationMutual FundsMoneyMoneyInsuranceome TaxInfrastructureInfrastructureRailwaysAviationRoadwaysIndiaReal EstateSportsLifestyleLifestyleTravel TourismHealthScienceFrom The PrintInternationalEdits ColumnsOpinionFE 360PoliticsEconomyPersonal FinanceFront PageFE InsightFE WagonTodays PaperePaperPhotosVideosHoroscopeArchiveNewsCompanies, Stock QuotesNext Stories1Coronavirus lockdown: Airtel extends prepaid validity 80 million underprivileged subscribers till April172ICEA urges government India allow online sales mobiles, PCs essential service coronaviruslockdown3New app built IIT Bombay team track asymptomatic COVID19 patients leavingquarantineSwitch Hindi EditionStay connectedMobile AppsTop TrendingNew 2020 Hyundai i20Share Market LIVEBest Tax Saving Tips:Toyota Covid package DealersNational Pension SystemCoronavirus Latest UpdatesLatest 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 AwardsIE TamilIE MalayalamIE BanglaAdvertise withusFeedbackSitemap Us The Indian Express [P] Ltd. | 2,020 | [
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] | 1 | POSITIVE | 648 |
https://www.chinookobserver.com/news/state/optical-ai-software-creator-alitheon-raises-million/article_17c54313-d0ed-5526-a55a-65b5054aff89.html | 2020-01-08T00:00:00 | en | Optical AI Software Creator Alitheon Raises $14.9 Million | State | chinookobserver.com |
Optical AI Software Creator Alitheon Raises $14.9 Million | State | chinookobserver.com
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Optical AI Software Creator Alitheon Raises $14.9 Million
By Alitheon
Jan 8, 2020
Jan 8, 2020
Updated 5 min ago
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BELLEVUE, Wash., Jan. 8, 2020 /PRNewswire/ -- Alitheon™, a machine vision software company based in Bellevue, Washington, today announced the close of $14.9 million in venture capital financing to expand its FeaturePrint™ technology across the defense, aerospace, aviation services, automotive, semiconductor, luxury goods, additive manufacturing, pharmaceutical and government sectors. Participants in the round include BMW i Ventures, IPD Capital and Shasta Ventures alongside current and former senior management from Accenture, Boeing and Fidelity.Alitheon's FeaturePrint technology transforms how objects, components and finished products are authenticated, tracked and traced across supply chains and distribution systems throughout the world. Once registered by Alitheon's optical artificial intelligence system, any individual item can be subsequently identified wherever it exists to verify authenticity, determine place and time of origin, detect signs of tampering, measure wear and identify grey market and counterfeit products including unauthorized "over runs" and previously rejected products. Unauthorized and counterfeit items cost legitimate manufacturers more than a trillion dollars and claim as many as a million lives a year."A FeaturePrint registration or authentication can be performed in milliseconds at industrial production speeds without human involvement using off-the-shelf hardware integrated at any step throughout manufacturing and distribution," said Scot E. Land, Alitheon's CEO and Co-Founder. "Our mission is straightforward: to create enduring trust among manufacturers, suppliers, distributors and customers."Alitheon has 34 issued patents with many more pending, and its founders have three decades of experience developing expert and AI systems for identifying product tampering, counterfeiting and security threats. Alitheon's founders helped create the first machine vision-based explosives detection systems and have also developed fraud detection systems, satellite image analysis software and other mission-critical automated systems for governments, corporations and non-profits worldwide."Alitheon's ability to identify an item using only the object itself—independent of markings, tags or other modifications—is groundbreaking," said Marcus Behrendt, Partner, BMW i Ventures. "FeaturePrint technology has the potential to bring a new level of trust to supply chains that does not currently exist.""We are gratified to have BMW i Ventures, IPD Capital and Shasta Ventures alongside current and former executives of some of the world's largest companies as strategic investors in Alitheon," said Land. "The capital raised, and relationships developed in this round will enable us to deploy our FeaturePrint technology across a variety of markets and industries." Alitheon is demonstrating its FeaturePrint technology in the BMW pavilion at CES on January 8th.About Alitheon:Alitheon is a Bellevue, Washington-based leader in advanced machine vision and artificial intelligence and creator of FeaturePrint™, a patented system that connects the physical and digital worlds via a secure and immutable link. For more information, contact Alitheon at [email protected]. For press inquiries, email [email protected].
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| Optical AI Software Creator Alitheon Raises $14.9 Million | Optical AI Software Creator Alitheon Raises 14.9 Million State Facebook Twitter Instagram iOS App Android App Logout Home Advertise Us Staff Directory Submission Forms Local Weather News South County News Pacific County News Washington State News Northwest Family News Events Calendar Obituaries Sports Ilwaco High School Naselle High School Recreational Activities Opinion Columnists Editorials Letters Editor Life Wildlife, Fishing Outdoors History Visitors Guide Area Guide Events Hotels Restaurants Shopping Things Do Vacation Rentals Photos Video Public Notices Weather Subscription Services Mobile App Email Updates eEdition eEdition App Coast Marketplace Newsstand Returns Toggle navigation Menu 46 Long Beach, WA 98631 Today Cloudy skies periods rain afternoon. High 47F. Winds WNW 10 15 mph. Chance rain 70.. Tonight Cloudy evening showers midnight. Low 39F. NNW winds 5 mph, increasing 10 20 mph. Chance rain 50. Updated: January 8, 2020 @ 11:40 Full Forecast Logout Home News South County News Northwest Pacific County News Washington State News Obituaries Sports Opinion Life eEdition eEdition App Area Guide Events Hotels Restaurants Shopping Things Do Vacation Rentals Marketplace Classifieds Place A Classified Ad Coast River Business Journal Coast Weekend Mobile App Optical AI Software Creator Alitheon Raises 14.9 Million By Alitheon Jan 8, 2020 Jan 8, 2020 Updated 5 min ago 0 Facebook Twitter WhatsApp SMS Email Alitheon Logo By Alitheon Facebook Twitter WhatsApp SMS Email Print Save BELLEVUE, Wash., Jan. 8, 2020 PRNewswire Alitheon, machine vision software company based Bellevue, Washington, today announced close 14.9 million venture capital financing expand FeaturePrint technology defense, aerospace, aviation services, automotive, semiconductor, luxury goods, additive manufacturing, pharmaceutical government sectors. Participants round include BMW Ventures, IPD Capital Shasta Ventures alongside current senior management Accenture, Boeing Fidelity.Alitheons FeaturePrint technology transforms objects, components finished products authenticated, tracked traced supply chains distribution systems world. Once registered Alitheons optical artificial intelligence system, individual item subsequently identified exists verify authenticity, determine place time origin, detect signs tampering, measure wear identify grey market counterfeit products including unauthorized runs previously rejected products. Unauthorized counterfeit items cost legitimate manufacturers trillion dollars claim million lives year.A FeaturePrint registration authentication performed milliseconds industrial production speeds human involvement offtheshelf hardware integrated step manufacturing distribution, said Scot E. Land, Alitheons CEO CoFounder. Our mission straightforward: create enduring trust manufacturers, suppliers, distributors customers.Alitheon 34 issued patents pending, founders decades experience developing expert AI systems identifying product tampering, counterfeiting security threats. Alitheons founders helped create machine visionbased explosives detection systems developed fraud detection systems, satellite image analysis software missioncritical automated systems governments, corporations nonprofits worldwide.Alitheons ability identify item object itselfindependent markings, tags modificationsis groundbreaking, said Marcus Behrendt, Partner, BMW Ventures. FeaturePrint technology potential bring new level trust supply chains currently exist.We gratified BMW Ventures, IPD Capital Shasta Ventures alongside current executives worlds largest companies strategic investors Alitheon, said Land. The capital raised, relationships developed round enable deploy FeaturePrint technology variety markets industries.Alitheon demonstrating FeaturePrint technology BMW pavilion CES January 8th.About Alitheon:Alitheon Bellevue, Washingtonbased leader advanced machine vision artificial intelligence creator FeaturePrint, patented connects physical digital worlds secure immutable link. For information, contact Alitheon contact For press inquiries, email press Facebook Twitter WhatsApp SMS Email Print Save Tags Prnewswire Alitheon Economics Commerce Industry Finance Creator Ai Detection Machine Technology Software Company Homes Jobs Public Notices Vehicles Marketplace Recommended Post comment Emoticons [smile] [beam] [wink] [sad] [cool] [innocent] [rolleyes] [whistling] [lol] [huh] [tongue] [love] [sleeping] [yawn] [unsure] [angry] [blink] [crying] [ohmy] [scared] [sleep] [sneaky] [tongue_smile] [thumbdown] [thumbup] [censored] [happybirthday] [ban] [spam] [offtopic] [batman] [ninja] [pirate] [alien] Comment Text Cancel Post comment Report Cancel Report Abuse Watch discussion. Stop watching discussion. Watch discussion Get email notification contributes discussion Notifications discussion disabled. Cancel Start watching Stop watching 0 comments Welcome discussion. Log In Keep Clean. Please avoid obscene, vulgar, lewd, racist sexuallyoriented language. PLEASE TURN OFF YOUR CAPS LOCK. Dont Threaten. Threats harming person tolerated. Be Truthful. Dont knowingly lie anything. Be Nice. No racism, sexism sort ism degrading person. Be Proactive. Use Report link comment let know abusive posts. Share Us. Wed love hear eyewitness accounts, history article. Post comment Watch discussion. Stop watching discussion. Events View All Events Daytime Events Nightlife Community Events Add Your Event Most Popular Articles Images Videos Commented ArticlesCoast Guard provides details Friday rescueWDFW approves razor clam digs new decade, starting Jan. 8Judge calls mischief treatment ChinookCoast Guard rescues person stormtossed sailboat mile Klipsan BeachRare warmwater fish washes upCrabbing commences: Rich fishery attracts outofarea boatsFlooding causes widespread impactsRosburg resident catches Legionnaires Disease MexicoChinook Indian Nation organizing rally court hearingLast hurrah LBs Loyalty Day? Images Videos CommentedSorry, recent results popular commented articles. Sections Home News Obituaries Sports Opinion Life Photos Video Services Subscription Services Submission Forms Classifieds Email Alerts Weather Information 205 Bolstad Avenue E. Suite 2 Long Beach, WA 98631 Phone: 360 6428181 Email: editor Facebook Twitter Instagram iOS App Android App 2020 Chinook Observer, 205 Bolstad Avenue E. Suite 2 Long Beach, WA Terms Use Powered BLOX Content Management System . | 2,020 | [
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https://www.wfmz.com/news/pr_newswire/pr_newswire_technology/zepl-integrates-snowflake-2-6-spark-connector-to-accelerate-and-simplify-data-science-at-scale/article_ba671bc4-07b9-5256-b7a6-65c3102e77c8.html | 2020-06-16T00:00:00 | en | Zepl Integrates Snowflake 2.6 Spark Connector to Accelerate and Simplify Data Science at Scale | News | wfmz.com |
Zepl Integrates Snowflake 2.6 Spark Connector to Accelerate and Simplify Data Science at Scale | News | wfmz.com
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Zepl Integrates Snowflake 2.6 Spark Connector to Accelerate and Simplify Data Science at Scale
Integration highlights strengthening of partnership and growing customer momentum
By Zepl
Jun 16, 2020
39 min ago
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SAN JOSE, Calif., June 16, 2020 /PRNewswire/ -- Zepl, the data science platform built for your cloud data warehouse, today announced that it has deepened its technical integration with Snowflake by utilizing Snowflake's 2.6 Spark Connector in Zepl's SaaS product. This new integration dramatically improves performance when accessing data for analysis and minimizes costs.According to Snowflake's recent benchmark tests, Snowflake's 2.6 Spark Connection caused an immediate 4x improvement in the end-to-end performance of Spark jobs due to a 10x performance improvement in the time spent by the Spark Connector to fetch and process the results of the Snowflake query. In addition, Snowflake has a query-result cache for repeated queries that operate on unchanged data. With cached reads, the end-to-end performance for the Spark job described above is 14x faster than when using uncached CSV-format reads in previous versions of the Spark Connector.Zepl's native Snowflake integration lets data scientists do real-time analysis on their live Snowflake data. Getting started with Zepl is easy. In less than a minute, Snowflake users can connect to Zepl through Partner Connect and immediately begin building machine learning models and analyzing results on massive quantities of data.Snowflake simplifies the most time consuming and tedious part of data science – wrangling all of the data in a single high-performance data platform – so that the work of modeling and analysis can begin in Zepl. The results are easily fed back into Snowflake where it remains easily accessible to both technical and non-technical users alike."Zepl and Snowflake share the same core values of delivering high performance and cost efficiency to our customers," says Dan Maloney, CEO of Zepl. "Snowflake has raised the bar for performance once again through their 2.6 Spark connector, which in turns improves cost efficiency for our joint customers. We are excited to expand both our technology as well as business partnership through this integration."About ZeplZepl's data science platform is built for your cloud data warehouse. In just minutes, data scientists and power data analysts can connect to Zepl and immediately build machine learning models and analyze results on massive quantities of data. Zepl provides a single place for your entire team to collaborate securely, with unlimited scale, and zero management, while our modern architecture provides maximum simplicity, efficiency and value. Start for free today at www.zepl.com.
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| Zepl Integrates Snowflake 2.6 Spark Connector to Accelerate and Simplify Data Science at Scale | Zepl Integrates Snowflake 2.6 Spark Connector Accelerate Simplify Data Science Scale News Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Election Results 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? 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Updated: June 16, 2020 @ 11:51 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 Election Results 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 Tiempo 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? 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This new integration dramatically improves performance accessing data analysis minimizes costs.According toSnowflakes recent benchmark tests, Snowflakes 2.6 Spark Connection caused immediate 4x improvement endtoend performance Spark jobs 10x performance improvement time spent Spark Connector fetch process results Snowflake query. In addition, Snowflake queryresult cache repeated queries operate unchanged data. With cached reads, endtoend performance Spark job described 14x faster uncached CSVformat reads previous versions Spark Connector.Zepls native Snowflake integration lets data scientists realtime analysis live Snowflake data. Getting started Zepl easy. In minute, Snowflake users connect Zepl Partner Connect immediately begin building machine learning models analyzing results massive quantities data.Snowflake simplifies time consuming tedious data science wrangling data single highperformance data platform work modeling analysis begin Zepl. The results easily fed Snowflake remains easily accessible technical nontechnical users alike.Zepl Snowflake share core values delivering high performance cost efficiency customers, says Dan Maloney, CEO Zepl. Snowflake raised bar performance 2.6 Spark connector, turns improves cost efficiency joint customers. We excited expand technology business partnership integration.About ZeplZepls data science platform built cloud data warehouse. In minutes, data scientists power data analysts connect Zepl immediately build machine learning models analyze results massive quantities data. Zepl provides single place entire team collaborate securely, unlimited scale, zero management, modern architecture provides maximum simplicity, efficiency value. Start free today Recommended Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed public comments company affiliated companies. 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https://www.waxahachietx.com/business/20191231/art-meets-artificial-intelligence-austin-artists-explore-new-meaning-in-data | 2020-01-01T00:00:00 | en | Art meets artificial intelligence: Austin artists explore new meaning in data - Business - Waxahachie Daily Light - Waxahachie, TX |
Art meets artificial intelligence: Austin artists explore new meaning in data - Business - Waxahachie Daily Light - Waxahachie, TX
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Art meets artificial intelligence: Austin artists explore new meaning in data
Hojun Choi @hjnchoi
Tuesday
Dec 31, 2019 at 9:18 AM
Dec 31, 2019 at 10:31 AM
Walking into Julia Morton’s art gallery in Austin is, in a word, trippy.The cozy space is full of otherworldly art filled with shapes, scratches and swirls. Some the works are still images, while others are videos.At first glance, none of it seems to make any kind of sense."People freeze. They’re mesmerized. They literally won’t move," Morton said. "It’s like they have to look, and from what I’ve been told, get their bearings."Morton’s work is part of a budding art form — one that uses artificial intelligence to generate images and visuals.VIDEO: An Austin artist explains how AI is used to create artDubbed generative art, the works are created through non-human systems, such as computers.Artists have used algorithms and computers to generate art as early as the 1950s. University of Texas art history professor Taylor Bradley said the infusion of AI into the generative art genre is a relatively new development."Across the country, there are shows going up all the time about digital art, AI-generated art, smart technologies and what have you," she said. "I think there is plenty of acceptance and excitement over this new medium."Despite its recent arrival on the scene, Bradley said the practice of using AI to create art reminds her of a period in art history when artisans and craftsman used to hone their various skills to create beautiful vases and furniture."I think artists have always been engineers who are inventing, innovating and pushing the limits of technology," Bradley said.Before Morton opened her East 6th Street gallery — named the Generative Art Project — she was entrenched in the world of fashion. She has also worked as an art columnist in New York.Morton said the new brand of AI-powered generative art forces people to look inward for meaning rather than using external context."For the first time in my life in a very overarching way, this work is arousing our self-awareness of our animalistic nature," Morton said.Many of the artists whose works are featured in the gallery will first collect data sets found in the real world. Then, through the use of artificial intelligence, artists find patterns in data sets that can be incorporated into their work through visualization tools.Because the data is grounded in reality, Morton said, people gain a sense of familiarity even in generative art that looks completely abstract."You get a feeling that you’re in the presence of a living, real thing," Morton said. "And that changes both how you experience the work as well as how you try to understand it."Morton’s husband, James Pricer, is a local artist who creates art with the help of artificial intelligence.For one of his works, Pricer used data that he collected from a person’s life, including their blood pressure, heart rate and genetic information.Though his art is largely enabled by the analysis powered by artificial intelligence, Pricer says the final part of his process depends on something much more human."What tells me that I’m finished is when I have a very strong emotional reaction," he said.Pricer, who has a background in data science, says he had long wanted to find out a way to communicate to others the meaning he found in numbers."Traditionally in the art world, you either had representational art or abstract art. Just like bridging tech and art, I thought if I could bridge representation and abstraction, that would make it possible for me to communicate what I see and feel in the data, and it’s turning out to be true," Pricer said.João Beira is the founder of Datagrama Visuals, a company based in Austin that organizes performances and exhibitions using AI-generated art.Beira came to the United States from his native Portugal about 10 years ago to pursue a doctoral degree in digital media at the University of Texas at Austin."I realized that even though Austin is in touch with the musical experience, visually, there was not really much going on in terms of bringing new ideas and doing things outside the norm," Beira said.Beira said the lack of an existing community is not necessarily a hindrance. Rather, he said it presents more of a blank canvass that he and other generative artists can fill."Austin might not be the first city you think about when you think about this technology, but the fact that the scene does not yet exist helps us build a foundation to build something here," Beira said.Beira said he finds meaning in generative art that is inspired by nature."You can find, for example, how trees grow and how they generate branches, or how the scales of a fish are organized," Beira said. "You can actually replicate these different patterns and algorithms, and you can generate them in real-time."Beira uses different programs to create his works, such as "DeepDream" — an artificial intelligence-enabled software created by Google engineer Alexander Mordvintsev that studies patterns in images and generates its own shapes and colors in based on the patterns that it has identified.Beira’s company also uses software created by an Austin-based company called "Synesthesia Live," to create visualizations at live music performances.None of the visuals are pre-programmed by Beira to look a specific way.The added element of unpredictability, Beira said, is what makes AI-generated art exciting for him. Beira said he hopes his art can help people gain a better understanding of human consciousness, and in the process, themselves."It’s not so much me being the creator and the ideas I have in my head," Beira said. "It’s more about me being an architect, pulling all these things together and seeing where it takes me because it’s completely unpredictable how the machine learns to see the world, just like a child when it first starts to look around the world and begins making the notion of their own world."
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| Art meets artificial intelligence: Austin artists explore new meaning in data | Art meets artificial intelligence: Austin artists explore new meaning data Business Waxahachie Daily Light Waxahachie, TX Sections NewsSportsEntertainmentLifeObituariesClassifiedsCarsJobsHomes Log Now Art meets artificial intelligence: Austin artists explore new meaning data Hojun Choi Tuesday Dec31,2019at9:18AM Dec31,2019at10:31AM Walking Julia Mortons art gallery Austin is, word, trippy.The cozy space otherworldly art filled shapes, scratches swirls. Some works images, videos.At glance, kind sense.People freeze. Theyre mesmerized. They literally wont move, Morton said. Its like look, Ive told, bearings.Mortons work budding art form uses artificial intelligence generate images visuals.VIDEO: An Austin artist explains AI create artDubbed generative art, works created nonhuman systems, computers.Artists algorithms computers generate art early 1950s. University Texas art history professor Taylor Bradley said infusion AI generative art genre relatively new development.Across country, shows going time digital art, AIgenerated art, smart technologies you, said. I think plenty acceptance excitement new medium.Despite recent arrival scene, Bradley said practice AI create art reminds period art history artisans craftsman hone skills create beautiful vases furniture.I think artists engineers inventing, innovating pushing limits technology, Bradley said.Before Morton opened East 6th Street gallery named Generative Art Project entrenched world fashion. She worked art columnist New York.Morton said new brand AIpowered generative art forces people look inward meaning external context.For time life overarching way, work arousing selfawareness animalistic nature, Morton said.Many artists works featured gallery collect data sets real world. Then, use artificial intelligence, artists patterns data sets incorporated work visualization tools.Because data grounded reality, Morton said, people gain sense familiarity generative art looks completely abstract.You feeling youre presence living, real thing, Morton said. And changes experience work try understand it.Mortons husband, James Pricer, local artist creates art help artificial intelligence.For works, Pricer data collected persons life, including blood pressure, heart rate genetic information.Though art largely enabled analysis powered artificial intelligence, Pricer says final process depends human.What tells Im finished I strong emotional reaction, said.Pricer, background data science, says long wanted way communicate meaning numbers.Traditionally art world, representational art abstract art. Just like bridging tech art, I thought I bridge representation abstraction, possible communicate I feel data, turning true, Pricer said.Joo Beira founder Datagrama Visuals, company based Austin organizes performances exhibitions AIgenerated art.Beira came United States native Portugal 10 years ago pursue doctoral degree digital media University Texas Austin.I realized Austin touch musical experience, visually, going terms bringing new ideas things outside norm, Beira said.Beira said lack existing community necessarily hindrance. Rather, said presents blank canvass generative artists fill.Austin city think think technology, fact scene exist helps build foundation build here, Beira said.Beira said finds meaning generative art inspired nature.You find, example, trees grow generate branches, scales fish organized, Beira said. You actually replicate different patterns algorithms, generate realtime.Beira uses different programs create works, DeepDream artificial intelligenceenabled software created Google engineer Alexander Mordvintsev studies patterns images generates shapes colors based patterns identified.Beiras company uses software created Austinbased company called Synesthesia Live, create visualizations live music performances.None visuals preprogrammed Beira look specific way.The added element unpredictability, Beira said, makes AIgenerated art exciting him. Beira said hopes art help people gain better understanding human consciousness, process, themselves.Its creator ideas I head, Beira said. Its architect, pulling things seeing takes completely unpredictable machine learns world, like child starts look world begins making notion world. Never miss story Choose plan thats right you. Digital access digital print delivery. Now Sign daily emails Site ServicesMy ProfileOnline Forms UsAdvertise With UsMarket PlaceClassifiedsCarsJobsReal EstatePay Your Ad Bill Area PublicationsBrownwood BulletinStephenville Empire TribuneGlen Rose ReporterCommunityEllis County GovernmentWaxahachie School DistrictCity WaxahachieCity Red OakRed Oak ISD Gannett Co., . 2019. . Original content available noncommercial use Creative Commons license, noted. Waxahachie Daily Light 200 West Marvin Ave., Waxahachie, TX 75165 Do Not Sell My Personal Information Policy Do Not Sell My Personal Information Terms Of Service Your California Privacy Rights Gannett USA TODAY NETWORK Now Site Archive HomeNewsCommunityCrime NewsEducationShareableSportsHigh SchoolCollegeRecreationEntertainmentMusicTV GuideFoodCalendarLifestyleTime MoneyHome GardenFamilyHealthFaithCelebrationsOpinionColumnsLettersBusinessObituaries MorePhotosSubmit Your NewsWeatherTV BookContestsBranded ContentDestination Ellis County40 Under 40Oh BabyFrom Our AdvertisersSouthern KitchenAllEllis County PrepsSouthern Draw2019 Joint Election Voters GuideBest Ellis rMy ProfileEEdition Market PlaceClassifiedsCarsJobsHomesAdvertise With UsPay Your Ad Bill Digital Marketing Services Feedback Ownership Terms Use Gannett Publications SUBSCRIBE TODAY Choose plan thats right you. Digital access digital print delivery. Learn More | 2,020 | [
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https://www.airforce-technology.com/news/human-pilots-to-face-off-against-ai-in-real-world-fighter-trials/ | 2020-09-10T00:00:00 | en | Human pilots to face-off against AI in real-world fighter trials |
Human pilots to face-off against AI in real-world fighter trials
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Human pilots to face-off against AI in real-world fighter trials
Harry Lye
10 September 2020 (Last Updated September 10th, 2020 10:13)
The US Department of Defense (DoD) is to pit real-world fighters controlled by human pilots against aircraft flown by artificial intelligence in 2024, US Secretary of Defense Mark Esper said at the DOD Artificial Intelligence Symposium and Exposition.
Capt. Michael Terry, 36th Fighter Squadron F-16 pilot, prepares to launch at Osan Air Base, Republic of Korea. Image: USAF.
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The US Department of Defense (DoD) is to pit real-world fighters controlled by human pilots against aircraft flown by artificial intelligence in 2024, US Secretary of Defense Mark Esper said at the DOD Artificial Intelligence Symposium and Exposition.
Speaking at the event, Esper said: “As an example of the tectonic impact of machine learning on the future of warfighting, the Defense Advanced Research Projects Agency (DARPA) recently conducted its third and final F-16 combat simulation between an AI-controlled system and an experienced Air Force fighter pilot.”
The real-world dogfights will be the culmination of work by DARPA which recently saw an AI-controlled F-16 beat an experienced US Air Force (USAF) pilot in a series of simulated dogfights.
Esper added: “The AI agent’s resounding victory demonstrated the ability of advanced algorithms to out-perform humans in virtual dogfights. These simulations will culminate in a real-world competition involving full-scale tactical aircraft in 2024.”
In DARPA’s AlphaDogfight, an AI built by Heron Systems beat a human F-16 pilot 5-0 following a number of AI vs AI simulated dogfights.
AlphaDogfight was conducted as part of DARPA’s Air Combat Evolution (ACE) designed to increase trust in combat autonomy, and demonstrate the utility of AI and autonomous systems as the US envisions a future where crewed aircraft are supported autonomous systems.
Explaining ACE, DARPA said: “In a future air domain contested by adversaries, a single human pilot can increase lethality by effectively orchestrating multiple autonomous unmanned platforms from within a manned aircraft.
“This shifts the human role from single platform operator to mission commander. In particular, ACE aims to deliver a capability that enables a pilot to attend to a broader, more global air command mission while their aircraft and teamed unmanned systems are engaged in individual tactics.”
Although the simulated dogfight presented a limited guns-only scenario more akin to a WWII dogfight, DARPA’s Justin ‘Glock’ Mock said the trial showed the agency had ‘AI that works’.
At the time of the trial, DARPA’s ACE programme manager USAF Lieutenant Colonel Dan “Animal” Javorsek said: “Just because the outcome went the way it did today, it does not mean that the AI wasn’t latching onto some weird digital artefact that we weren’t thinking about or considering, and that’s what was giving them an advantage.
“There were certainly some peculiar behaviours in the engagement.”
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| Human pilots to face-off against AI in real-world fighter trials | Human pilots faceoff AI realworld fighter trials Analysis Sections Features Comment Projects Most Read US Air Force awards Northrop Grumman contract replace ageing ICBMsUK announces Typhoon ASEA radar upgradeUS Air Force accelerate transition future force: CSAF Featured Aircraft US deploy additional troops equipment Saudi Arabia 14 Oct 2019 Investment Most Read FDI pandemic: How low inflows go? 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Capt. Michael Terry, 36th Fighter Squadron F16 pilot, prepares launch Osan Air Base, Republic Korea. Image: USAF. Share Article The US Department Defense DoD pit realworld fighters controlled human pilots aircraft flown artificial intelligence 2024, US Secretary Defense Mark Esper said DOD Artificial Intelligence Symposium Exposition. Speaking event, Esper said: As example tectonic impact machine learning future warfighting, Defense Advanced Research Projects Agency DARPA recently conducted final F16 combat simulation AIcontrolled experienced Air Force fighter pilot. The realworld dogfights culmination work DARPA recently saw AIcontrolled F16 beat experienced US Air Force USAF pilot series simulated dogfights. Esper added: The AI agents resounding victory demonstrated ability advanced algorithms outperform humans virtual dogfights. These simulations culminate realworld competition involving fullscale tactical aircraft 2024. In DARPAs AlphaDogfight, AI built Heron Systems beat human F16 pilot 50 following number AI vs AI simulated dogfights. AlphaDogfight conducted DARPAs Air Combat Evolution ACE designed increase trust combat autonomy, demonstrate utility AI autonomous systems US envisions future crewed aircraft supported autonomous systems. Explaining ACE, DARPA said: In future air domain contested adversaries, single human pilot increase lethality effectively orchestrating multiple autonomous unmanned platforms manned aircraft. This shifts human role single platform operator mission commander. In particular, ACE aims deliver capability enables pilot attend broader, global air command mission aircraft teamed unmanned systems engaged individual tactics. Although simulated dogfight presented limited gunsonly scenario akin WWII dogfight, DARPAs Justin Glock Mock said trial showed agency AI works. At time trial, DARPAs ACE programme manager USAF Lieutenant Colonel Dan Animal Javorsek said: Just outcome went way today, mean AI wasnt latching weird digital artefact werent thinking considering, thats giving advantage. There certainly peculiar behaviours engagement. Related Companies CCP Gransden Advanced Composites Design Manufacturing Solutions EXPAL Design, Development Manufacturing Air Armament Rheinmetall Air Defence GroundBased Air Defence Systems Related Whitepaper Aerospace Military Contract Manufacturing Engineering TRICOR Systems ., 201016 Boeing Gold Performance Excellence Award recipient, AS 9100D certified, ISO 9001:2015, ITAR registered manufacturer design facility. Founded 1976, TRICOR successfully provided highquality products services aerospace, military medical market place. 27 Jul 2020 TRICOR Systems Top 5 Stories Today News 2 hours Sweden offers 12 Saab Gripen CD aircraft Croatia 1 News 4 hours Human pilots faceoff AI realworld fighter trials 2 Analysis 1 day US Air Force awards Northrop Grumman contract replace ageing ICBMs 3 News 2 days Boom explore Overture configuration USAF executive transport 4 News 2 days USSTRATCOM conducts B52s training missions North Africa 5 Up Next News Sweden offers 12 Saab Gripen CD aircraft Croatia 10 Sep 2020 News RSAF conduct air combat exercises Australias Northern Territory 10 Sep 2020 News US Space Force declares IOC infrared weather satellite EWSG1 09 Sep 2020 News RAAFs E7A Wedgetail KC30A aircraft complete Middle East mission 09 Sep 2020 Powered Editorial Approach Us 2020 Verdict Media Limited. Go Top Lost Password Back Get new password Lost Password? Registration disabled. | 2,020 | [
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https://www.philips.sa/en/healthcare/innovation/philips-ventures/news/harnessing-ai-to-improve-healthcare-workflow | 2020-12-11T00:00:00 | en | Improving medical workflow with AI | Philips Healthcare | Improving medical workflow with AI | Philips Healthcare Home Products & Services Back Products & Services Products Products & Services Products Advanced Molecular Imaging Anesthesia Computed Tomography Machines & Solutions Diagnostic ECG Diagnostic informatics Emergency Care & Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Image Guided Therapy Devices Image Guided Therapy Systems Mother & Child Care MRI Systems & Solutions Oncology Pathology Patient monitoring Radiation Oncology Radiography | X-ray & Fluoroscopy Solutions Refurbished Systems Sleep and Respiratory Care Ultrasound Value Products Ventilation Show all Services Products & Services Services Healthcare consulting Implementation services Maintenance services Optimization services Planning services Upgrading services Solutions Products & Services Solutions Alarm management Ambient Experience Dosewise Early Warning Scoring (EWS) Integrated Cardiovascular Solutions Managed Technology Services Patient reported outcomes PerformanceBridge HealthSuite Digital Platform Enterprise telehealth Specialties Back Specialties Clinical specialties Specialties Clinical specialties Cardiology Critical care General care Home respiratory care Mother and child care Oncology Radiology Sleep apnea care Business and government Specialties Business and government Emergency Response Workplace and community AED Non-clinical specialties Specialties Non-clinical specialties Healthcare management IT Management Covid-19 Response Innovation Back Innovation Our innovation story Research & Exploration HealthSuite Digital Platform Thought Leadership Philips Ventures About Back About About us Careers Contact Customer experience center Events calendar Investor relations News Partnerships Press Contact & Support Back Contact & Support Contact us Customer Support Education and training Contact & Support Education and training Browse full catalog Education by clinical application Education by professional role Documents and resources Contact & Support Documents and resources Instructions for use Product documentation Distributors Self-service support portals Contact & Support Self-service support portals My Philips for Professionals Customer Services Portal Security and standards Contact & Support Security and standards IT standards Product security Compliance programs Online sales Contact & Support Online sales Hospital supplies and equipment Sleep and respiratory products Publications Contact & Support Publications Field Strength Surgery Pulse Covid-19 Response EN AR EN AR âfoundation-generic.search Search terms Ventures Sep 09, 2018 Harnessing AI to improve healthcare workflow Estimated reading time: 1 minute Share on social media https://www.philips.sa/en/healthcare/innovation/philips-ventures/news/harnessing-ai-to-improve-healthcare-workflow Link copied Contact Anselm Ci’an Tan Principal, Venture Investments ‹ See all news Philips invests in Singapore-based Workplace Optimizer Artificial intelligence has the potential to disrupt countless aspects of healthcare — not only in advances in diagnosis and treatment, but in technology that will improve the efficiency of a healthcare system’s operations. The healthcare industry — long challenged by a shortage of healthcare professionals and rising labor costs — currently faces a dire need. In 2018, Workforce Optimizer (previously called FriarTuck) raised $3 million in series A funding from Philips and other investors for its artificial intelligence-powered tech solutions that improve workflow efficiency. The company’s optimization platform helps health systems address changing labor demand and workloads, manage workplace fatigue, and improve productivity and staff engagement. Read more Related insights Accelerating advances in cancer care Learn more Mytonomy partners with Mayo Clinic Learn more Philips invests in Cardeation Capital Learn more Want to become a start-up partner with Philips Ventures? 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I understand | Improving medical workflow with AI | Improving medical workflow AI Philips Healthcare Home Products Services Back Products Services Products Products Services Products Advanced Molecular Imaging Anesthesia Computed Tomography Machines Solutions Diagnostic ECG Diagnostic informatics Emergency Care Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Image Guided Therapy Devices Image Guided Therapy Systems Mother Child Care MRI Systems Solutions Oncology Pathology Patient monitoring Radiation Oncology Radiography Xray Fluoroscopy Solutions Refurbished Systems Sleep Respiratory Care Ultrasound Value Products Ventilation Show Services Products Services Services Healthcare consulting Implementation services Maintenance services Optimization services Planning services Upgrading services Solutions Products Services Solutions Alarm management Ambient Experience Dosewise Early Warning Scoring EWS Integrated Cardiovascular Solutions Managed Technology Services Patient reported outcomes PerformanceBridge HealthSuite Digital Platform Enterprise telehealth Specialties Back Specialties Clinical specialties Specialties Clinical specialties Cardiology Critical care General care Home respiratory care Mother child care Oncology Radiology Sleep apnea care Business government Specialties Business government Emergency Response Workplace community AED Nonclinical specialties Specialties Nonclinical specialties Healthcare management IT Management Covid19 Response Innovation Back Innovation Our innovation story Research Exploration HealthSuite Digital Platform Thought Leadership Philips Ventures About Back About About Careers Customer experience center Events calendar Investor relations News Partnerships Press Support Back Support Customer Support Education training Support Education training Browse catalog Education clinical application Education professional role Documents resources Support Documents resources Instructions use Product documentation Distributors Selfservice support portals Support Selfservice support portals My Philips Professionals Customer Services Portal Security standards Support Security standards IT standards Product security Compliance programs Online sales Support Online sales Hospital supplies equipment Sleep respiratory products Publications Support Publications Field Strength Surgery Pulse Covid19 Response EN AR EN AR foundationgeneric.search terms Ventures Sep 09, 2018 Harnessing AI improve healthcare workflow Estimated reading time: 1 minute Share social media Link copied Anselm Cian Tan Principal, Venture Investments See news Philips invests Singaporebased Workplace Optimizer Artificial intelligence potential disrupt countless aspects healthcare advances diagnosis treatment, technology improve efficiency healthcare systems operations. The healthcare industry long challenged shortage healthcare professionals rising labor costs currently faces dire need. In 2018, Workforce Optimizer previously called FriarTuck raised 3 million series A funding Philips investors artificial intelligencepowered tech solutions improve workflow efficiency. The companys optimization platform helps health systems address changing labor demand workloads, manage workplace fatigue, improve productivity staff engagement. Read Related insights Accelerating advances cancer care Learn Mytonomy partners Mayo Clinic Learn Philips invests Cardeation Capital Learn Want startup partner Philips Ventures? information This field mandatory Country Saudi Arabia Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory British Virgin Islands Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Caribbean Netherlands Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos Keeling Islands Colombia Comoros Congo Brazzaville Congo Kinshasa Cook Islands Costa Rica Croatia Cuba Curaao Cyprus Czech Republic Cte dIvoire Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea GuineaBissau Guyana Haiti Heard McDonald Islands Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Isle Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Burma Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island North Korea Northern Mariana Islands Norway Oman Pakistan Palau Palestine Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Islands Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Runion Saint Helena, Ascension Tristan da Cunha Samoa San Marino Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia South Sandwich Islands South Korea South Sudan Spain Sri Lanka St. Barthlemy St. Kitts Nevis St. Lucia St. Martin St. Pierre Miquelon St. Vincent Grenadines Sudan Suriname Svalbard Jan Mayen Swaziland Sweden Switzerland Syria So Tom Prncipe Taiwan Tajikistan Tanzania Thailand TimorLeste Togo Tokelau Tonga Trinidad Tobago Tunisia Turkey Turkmenistan Turks Caicos Islands Tuvalu U.S. Outlying Islands U.S. Virgin Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Wallis Futuna Western Sahara Yemen Zambia Zimbabwe land Islands First Last Email address Phone Request type Partnership Partnership Funding Funding Marketing Marketing Other Other Company Job title Specialty Specialty Anesthesia Biomedicine Cardiology Critical Care Dental Care Emergency Care General Medicine Healthcare IT Healthcare Management Intensive Care Mother Child Care Neurology Nuclear Medicine Oncology Orthopedic Pain Management Pathology Radiology Respiratory Care Sleep Therapy Traumatology Urology Vascular Womens Healthcare Comments Attachments What cross border data transfer? 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I understand Connect Philips Country Saudi Arabia English Investor Relations Careers Philips Privacy notice Terms use Product security Facebook Twitter notice Sitemap Koninklijke Philips N.V., 2004 2020. . By clicking link, leaving official Royal Philips Healthcare Philips website. Any links thirdparty websites appear site provided convenience way represent affiliation endorsement information provided linked websites. Philips makes representations warranties kind regard thirdparty websites information contained therein. I understand | 2,020 | [
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https://www.newsgram.com/deepfake-facebook-ai-65-videos/ | 2020-06-15T00:00:00 | en | Deepfake Detection Challenge: Facebook AI Model Detects 65% Deepfake Videos | NewsGram | Deepfake Detection Challenge: Facebook AI Model Detects 65% Deepfake Videos | NewsGram Sign inHomeWorldIndiaDiasporaOpinionHistory & CultureReligionIndian FestivalsPoliticsOutswingerBusinessLife StyleScience & TechnologyEntertainment Sign in Welcome!Log into your accountyour usernameyour password Forgot your password? Password recoveryRecover your passwordyour email Search Sunday, June 14, 2020AboutInternshipContactन्यूज़ग्रामDonateFacebookInstagramTwitter HomeWorldIndiaDiasporaOpinionHistory & CultureReligionIndian FestivalsPoliticsOutswingerBusinessAllfinance BusinessWhat Is Resident Abuse in a Nursing Home? NewsGram Desk - June 13, 2020 0 The residents of nursing homes have rights. One of those is the right to be free from abuse and neglect. Despite federal and state... Business3 Reasons to Be Yourself in Your Email Newsletter NewsGram Desk - June 13, 2020 0 There are countless email newsletters, but think about the ones that you would sincerely miss if they went away. There simply aren’t as many.... financeCOVID-19 Pandemic Creates Worst Global Recession in 60 Years: OECD NewsGram Desk - June 12, 2020 0 A leading global economic group said Wednesday the COVID-19 pandemic has triggered the worst global recession in nearly a century, and things could get... Business7 Pro Tips for Running a Successful Mobile Catering Business NewsGram Desk - June 12, 2020 0 Mobile catering is growing popular by the day. There are well over 20,000 such businesses in the US currently, with a 6.8% growth rate...Life StyleAllBeauty TipsHealth & FitnessLife SkillsRelationshipsTravel Lead StoryHere’s a Pet Parents Guide For Monsoon NewsGram Desk - June 14, 2020 0 Monsoon is advancing in parts of India, and pet parents are certainly relieved as the monsoon showers begin and heat recedes. But, in this... Health & FitnessSinovac’s Covid-19 Vaccine shows Immune Response in Initial Trials NewsGram Desk - June 14, 2020 0 Chinese vaccine maker Sinovac has said that its Covid-19 vaccine candidate, CoronaVac, has been found to induce immune response in initial human trials as... Health & Fitness98% Population in Kashmir is Susceptible to COVID-19, Says ICMR Survey NewsGram Desk - June 14, 2020 0 By Sheikh Qayoom Just 2 per cent population in Kashmir has antibodies for COVID-19 and 98 per cent population is susceptible to infection and still... Health & FitnessNot Wearing Face Mask Increases Covid-19 Risk: Researchers NewsGram Desk - June 14, 2020 0 Not wearing a face mask dramatically increases a person's chances of being infected by the Covid-19 virus, warn researchers as per COVID-19 Information &...Science & TechnologyEntertainmentAllBollywood Interview EntertainmentSushant Singh Rajput Dies By Suicide, Leaves The Nation Shocked NewsGram Desk - June 14, 2020 0 -By Varuni Trivedi In a shocking development, TV star turned Bollywood Actor Sushant Singh Rajput was found dead at his residence in Mumbai. He was... EntertainmentTop 10 Kailash Kher Melodies That You Must Listen NewsGram Desk - June 12, 2020 0 Kailash Kher is a soulful singer who is known to have redefined sufi in Bollywood's Music Industry. Raw, rustic, earthly, heavenly and powerful~ these are... BusinessWhy Should Online Casinos Be Legal in India? Find Out NewsGram Desk - June 11, 2020 0 With over $60 billion in global revenue in 2019, online casinos are undoubtedly extremely popular around the world. Millions of people enjoy their games... EntertainmentIndian Composers Unite to Recreate each Other’s Iconic Tunes For Upcoming Show NewsGram Desk - June 10, 2020 0 Vishal and Shekhar, Amaal Mallik, Amit Trivedi, Sachin-Jigar, Himesh Reshammiya, Mithoon, Ajay-Atul, Salim-Sulaiman, Shantanu Moitra, Agnee, and Sneha Khanwalkar are among composers who have...GET APPSearchHome Lead Story Deepfake Detection Challenge: Facebook AI Model Detects 65% Deepfake VideosLead StoryScience & TechnologyDeepfake Detection Challenge: Facebook AI Model Detects 65% Deepfake VideosFacebook AI model has achieved 65% accuracy to detect deepfake videosJune 14, 20200Facebook Twitter WhatsApp Facebook AI model has achieved 65% accuracy to detect deepfake videos in the Deepfake Detection Challenge organised by the company. Pixabay Alarmed at the growing forged or deepfake videos on its platform, Facebook organised a Deepfake Detection Challenge and the results were not very encouraging, as the highest-performing model achieved an average precision of 65.18 per cent against real world examples as per tech news.This, however, establishes a new shared baseline as the artificial intelligence (AI) community continues to work on this difficult and important task, said Facebook.The Deepfake Detection Challenge drew more than 2,000 participants, who trained and tested more than 35,000 models using a unique new data set created for the challenge. Follow NewsGram on Quora to get answers to all your questions. Tested against a black box data set with challenging real world examples that were not shared with entrants, the top model achieved an average precision of 65.18 per cent.Facebook partnered with other industry leaders and academic experts last year to create the Deepfake Detection Challenge.“By creating and sharing a unique new data set of more than 100,000 videos, the DFDC has enabled experts from around the world to come together, benchmark their deepfake detection models, try new approaches, and learn from each others’ work,” the social network said in a statement.Forged video of Facebook CEO Zuckerberg went viral last year. Wikimedia CommonsFacebook in January this year has announced tough policies against the spread of manipulated media on its platform.The company said it will remove misleading manipulated media if it has been edited or synthesized beyond adjustments for clarity or quality.Deepfakes are video forgeries that make people appear to be saying things they never did, like the popular forged videos of Facebook CEO Zuckerberg and that of US House Speaker Nancy Pelosi that went viral last year.Also Read: Not Wearing Face Mask Increases Covid-19 Risk: ResearchersVideos that don’t meet standards for removal are still eligible for review by one of Facebook’s independent third-party fact-checkers, which include over 50 partners worldwide fact-checking in over 40 languages.The compaby said it would also share details on its plans to open-source the raw data set used to construct the Deepfake Detection Challenge, featuring more than 3,500 actors and 38.5 days’ worth of data.“This will help AI researchers develop new generation and detection methods to advance the state of the art in this field. Moreover, this data set will be opened for use for other research work in AI domains as well as work on deepfakes,” Facebook elaborated. (IANS) TagsArtificial IntelligenceDeepfakeDeepfake Detection ChallengeFacebookMark ZuckerbergNancy PelosivideosFacebook Twitter WhatsApp Previous articleNot Wearing Face Mask Increases Covid-19 Risk: ResearchersNext article98% Population in Kashmir is Susceptible to COVID-19, Says ICMR SurveyRELATED ARTICLES Lead StoryHere’s a Pet Parents Guide For Monsoon NewsGram Desk - June 14, 2020 0 Monsoon is advancing in parts of India, and pet parents are certainly relieved as the monsoon showers begin and heat recedes. But, in this... Read more Lead Story1 in 3 Young US Adults Report No Sexual Activity in One Year: Survey NewsGram Desk - June 14, 2020 0 In the last 20 years, sexual inactivity has increased among US men in such a way that approximately 1 in 3 men aged 18... 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Thank you for subscribing.Something went wrong. Recent Comments CharliePeters on No Crops Damaged, Locust Control Operations on Full Swing: Centre Vaishali on The World Looks Up To India and Modi’s response to Covid-19, commends C’wealth Secy-Gen Mark Jacobs on Information on Wismar massacre Harris on Information on Wismar massacre Annie Anderson Smith on Information on Wismar massacre Annie Anderson Smith on Information on Wismar massacre Mark Jacobs on Information on Wismar massacre Joel Rey on 5 best Caribbean cricketers of Indian origin LibertyToad on Facebook, YouTube, Twitter Struggle to Remove Pandemic Conspiracy Video Called Plandemic BenDoverUranus on Animation struggles in India: Top 10 Indian cartoon series ABOUT USNewsGram is a Chicago, US-based nonprofit media organization, approved by IRS as a tax exempt 501 (c) (3) entity. We are a public funded media committed to provide news and analyses in an objective and non partisan manner. 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| Deepfake Detection Challenge: Facebook AI Model Detects 65% Deepfake Videos | Deepfake Detection Challenge: Facebook AI Model Detects 65 Deepfake Videos NewsGram Sign inHomeWorldIndiaDiasporaOpinionHistory CultureReligionIndian FestivalsPoliticsOutswingerBusinessLife StyleScience TechnologyEntertainment Sign WelcomeLog accountyour usernameyour password Forgot password? Password recoveryRecover passwordyour email Sunday, June 14, 2020AboutInternshipDonateFacebookInstagramTwitter HomeWorldIndiaDiasporaOpinionHistory CultureReligionIndian FestivalsPoliticsOutswingerBusinessAllfinance BusinessWhat Is Resident Abuse Nursing Home? NewsGram Desk June 13, 2020 0 The residents nursing homes rights. One right free abuse neglect. Despite federal state... Business3 Reasons Be Yourself Your Email Newsletter NewsGram Desk June 13, 2020 0 There countless email newsletters, think ones sincerely miss went away. There simply arent many.... financeCOVID19 Pandemic Creates Worst Global Recession 60 Years: OECD NewsGram Desk June 12, 2020 0 A leading global economic group said Wednesday COVID19 pandemic triggered worst global recession nearly century, things get... Business7 Pro Tips Running Successful Mobile Catering Business NewsGram Desk June 12, 2020 0 Mobile catering growing popular day. There 20,000 businesses US currently, 6.8 growth rate...Life StyleAllBeauty TipsHealth FitnessLife SkillsRelationshipsTravel Lead StoryHeres Pet Parents Guide For Monsoon NewsGram Desk June 14, 2020 0 Monsoon advancing parts India, pet parents certainly relieved monsoon showers begin heat recedes. But, this... Health FitnessSinovacs Covid19 Vaccine shows Immune Response Initial Trials NewsGram Desk June 14, 2020 0 Chinese vaccine maker Sinovac said Covid19 vaccine candidate, CoronaVac, induce immune response initial human trials as... Health Fitness98 Population Kashmir Susceptible COVID19, Says ICMR Survey NewsGram Desk June 14, 2020 0 By Sheikh Qayoom Just 2 cent population Kashmir antibodies COVID19 98 cent population susceptible infection still... Health FitnessNot Wearing Face Mask reases Covid19 Risk: Researchers NewsGram Desk June 14, 2020 0 Not wearing face mask dramatically increases persons chances infected Covid19 virus, warn researchers COVID19 Information ...Science TechnologyEntertainmentAllBollywood Interview EntertainmentSushant Singh Rajput Dies By Suicide, Leaves The Nation Shocked NewsGram Desk June 14, 2020 0 By Varuni Trivedi In shocking development, TV star turned Bollywood Actor Sushant Singh Rajput dead residence Mumbai. He was... EntertainmentTop 10 Kailash Kher Melodies That You Must Listen NewsGram Desk June 12, 2020 0 Kailash Kher soulful singer known redefined sufi Bollywoods Music Industry. Raw, rustic, earthly, heavenly powerful are... BusinessWhy Should Online Casinos Be Legal India? Find Out NewsGram Desk June 11, 2020 0 With 60 billion global revenue 2019, online casinos undoubtedly extremely popular world. Millions people enjoy games... EntertainmentIndian Composers Unite Recreate Others Iconic Tunes For Upcoming Show NewsGram Desk June 10, 2020 0 Vishal Shekhar, Amaal Mallik, Amit Trivedi, SachinJigar, Himesh Reshammiya, Mithoon, AjayAtul, SalimSulaiman, Shantanu Moitra, Agnee, Sneha Khanwalkar composers have...GET APPHome Lead Story Deepfake Detection Challenge: Facebook AI Model Detects 65 Deepfake VideosLead StoryScience TechnologyDeepfake Detection Challenge: Facebook AI Model Detects 65 Deepfake VideosFacebook AI model achieved 65 accuracy detect deepfake videosJune 14, 20200Facebook Twitter WhatsApp Facebook AI model achieved 65 accuracy detect deepfake videos Deepfake Detection Challenge organised company. Pixabay Alarmed growing forged deepfake videos platform, Facebook organised Deepfake Detection Challenge results encouraging, highestperforming model achieved average precision 65.18 cent real world examples tech news.This, however, establishes new shared baseline artificial intelligence AI community continues work difficult important task, said Facebook.The Deepfake Detection Challenge drew 2,000 participants, trained tested 35,000 models unique new data set created challenge. Follow NewsGram Quora answers questions. Tested black box data set challenging real world examples shared entrants, model achieved average precision 65.18 cent.Facebook partnered industry leaders academic experts year create Deepfake Detection Challenge.By creating sharing unique new data set 100,000 videos, DFDC enabled experts world come together, benchmark deepfake detection models, try new approaches, learn work, social network said statement.Forged video Facebook CEO Zuckerberg went viral year. Wikimedia CommonsFacebook January year announced tough policies spread manipulated media platform.The company said remove misleading manipulated media edited synthesized adjustments clarity quality.Deepfakes video forgeries people appear saying things did, like popular forged videos Facebook CEO Zuckerberg US House Speaker Nancy Pelosi went viral year.Also Read: Not Wearing Face Mask reases Covid19 Risk: ResearchersVideos dont meet standards removal eligible review Facebooks independent thirdparty factcheckers, include 50 partners worldwide factchecking 40 languages.The compaby said share details plans opensource raw data set construct Deepfake Detection Challenge, featuring 3,500 actors 38.5 days worth data.This help AI researchers develop new generation detection methods advance state art field. Moreover, data set opened use research work AI domains work deepfakes, Facebook elaborated. IANS TagsArtificial IntelligenceDeepfakeDeepfake Detection ChallengeFacebookMark ZuckerbergNancy PelosivideosFacebook Twitter WhatsApp Previous articleNot Wearing Face Mask reases Covid19 Risk: ResearchersNext article98 Population Kashmir Susceptible COVID19, Says ICMR SurveyRELATED ARTICLES Lead StoryHeres Pet Parents Guide For Monsoon NewsGram Desk June 14, 2020 0 Monsoon advancing parts India, pet parents certainly relieved monsoon showers begin heat recedes. But, this... Read Lead Story1 3 Young US Adults Report No Sexual Activity One Year: Survey NewsGram Desk June 14, 2020 0 In 20 years, sexual inactivity increased US men way approximately 1 3 men aged 18... Read EntertainmentSushant Singh Rajput Dies By Suicide, Leaves The Nation Shocked NewsGram Desk June 14, 2020 0 By Varuni Trivedi In shocking development, TV star turned Bollywood Actor Sushant Singh Rajput dead residence Mumbai. He was... Read Please enable JavaScript view comments powered Disqus. STAY CONNECTED19,003FansLike362FollowersFollow1,765FollowersFollowMost PopularHeres Pet Parents Guide For Monsoon Lead Story NewsGram Desk June 14, 2020 0 Monsoon advancing parts India, pet parents certainly relieved monsoon showers begin heat recedes. But, this... Read more1 3 Young US Adults Report No Sexual Activity One Year: Survey Lead Story NewsGram Desk June 14, 2020 0 In 20 years, sexual inactivity increased US men way approximately 1 3 men aged 18... Read moreSushant Singh Rajput Dies By Suicide, Leaves The Nation Shocked Entertainment NewsGram Desk June 14, 2020 0 By Varuni Trivedi In shocking development, TV star turned Bollywood Actor Sushant Singh Rajput dead residence Mumbai. He was... Read moreSinovacs Covid19 Vaccine shows Immune Response Initial Trials Health Fitness NewsGram Desk June 14, 2020 0 Chinese vaccine maker Sinovac said Covid19 vaccine candidate, CoronaVac, induce immune response initial human trials as... 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Read moreLoad moreGet stuff mailing list interesting stuff updates email inbox. Thank subscribing.Something went wrong. Recent Comments CharliePeters No Crops Damaged, Locust Control Operations Full Swing: Centre Vaishali The World Looks Up To India Modis response Covid19, commends Cwealth SecyGen Mark Jacobs Information Wismar massacre Harris Information Wismar massacre Annie Anderson Smith Information Wismar massacre Annie Anderson Smith Information Wismar massacre Mark Jacobs Information Wismar massacre Joel Rey 5 best Caribbean cricketers Indian origin LibertyToad Facebook, YouTube, Twitter Struggle Remove Pandemic Conspiracy Video Called Plandemic BenDoverUranus Animation struggles India: Top 10 Indian cartoon series ABOUT USNewsGram Chicago, USbased nonprofit media organization, approved IRS tax exempt 501 c 3 entity. We public funded media committed provide news analyses objective non partisan manner. 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http://www.dtv.broadcastnewsroom.com/2020/01/08/perfect-corp-showcases-beauty-tech-innovation-with-beauty-ai-personalized-solutions-at-ces-2020/?utm_source=rss&utm_medium=rss&utm_campaign=perfect-corp-showcases-beauty-tech-innovation-with-beauty-ai-personalized-solutions-at-ces-2020 | 2020-01-09T00:00:00 | en | Perfect Corp. Showcases Beauty Tech Innovation with 'Beauty AI Personalized Solutions' at CES 2020 | | Broadcast Newsroom |
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Home2020January8Perfect Corp. Showcases Beauty Tech Innovation with ‘Beauty AI Personalized Solutions’ at CES 2020
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Perfect Corp. Showcases Beauty Tech Innovation with ‘Beauty AI Personalized Solutions’ at CES 2020
By
BN Staff
5 hours ago
Perfect Corp. founder and CEO, Alice Chang, presents game-changing YouCam beauty tech solutions to meet the growing demand for personalized consumer shopping experiences.
NEW YORK–(BUSINESS WIRE)–Perfect Corp., the leading beauty tech solutions provider behind the world’s leading virtual beauty app, YouCam Makeup, and Consumer Electronics Show (CES) 2020 Innovation Awards honoree, showcases the future of beauty tech innovation with “Beauty AI Personalized Solutions” at the 2020 CES in Las Vegas. Perfect Corp. founder and CEO, Alice Chang, introduced the next-generation YouCam beauty tech solutions that combine advanced artificial intelligence (AI) and augmented reality (AR) technology to deliver personalized, consumer-centric solutions to drive business.
Alice took the High Tech Retailing stage at CES 2020, alongside special guests Jay Anderson (Senior Vice President, Global Brand Technologies at The Estée Lauder Companies), Natasha Haubrich (Senior Director of U.S. Innovation at Neutrogena), and JC Johnson (GVP of Digital Commerce, Strategy and Insights at Sally Beauty) to reveal the newest AI and AR beauty tech personalized solutions.
The technology demonstration and panel discussion showcased the unique way these partner brands are leveraging YouCam’s advanced AI + AR technology to create more tailored, consumer-centric beauty shopping experiences that speak to the discerning modern-day beauty lover and drive their business. The in-depth discussion focused on the future of beauty tech, what Alice coined “Beauty AI Personalized Solutions,” and showcased how brands and retailers are leveraging custom technology solutions across omnichannel touchpoints to better understand and serve their customers’ needs.
“The modern-day consumer craves personalized products made just for them. This means brands need to know their customer’s unique demands to best serve them across all consumer touchpoints, online and offline,” explains Alice. “Beauty AI is the game-changer that helps beauty brands and retailers understand customers unique needs and effectively generate personalized style and product recommendations based on their demand and preferences.”
As an early adopter of Perfect Corp.’s YouCam’s AR beauty solutions back in 2015, The Estée Lauder Companies’ approach to beauty tech has been ever-evolving. “By fusing breakthrough technology with prestige beauty, our brands are providing our consumers around the world with innovative, personalized, aspirational and seamless experiences across in-store and online,” said Jay Anderson, Senior Vice President, Global Brand Technologies, The Estée Lauder Companies. “Artificial intelligence and augmented reality technologies like YouCam are taking the prestige beauty shopping experience to new heights, helping our consumers find their perfect lipstick color, foundation shade and more anytime, anywhere.”
Alice showcased how advanced AI + AR innovation opened up a new realm of possibility in the hair color and skin care categories, and how brands like Sally Beauty and Neutrogena have developed their own first-to-market personalized solutions in this space. Sally Beauty’s personalized ColorView™ virtual hair color try-on experience, powered by Perfect Corp.’s technology, plays to a consumer-centric strategy by matching customers with suggested hair product categories and hair color shades based on their individual preferences to help beauty shoppers make more confident purchase decisions. “Changing your hair color or your product regimen is a highly personal choice for customers. Our ColorView™ technology helps take the guess work out of selecting products and makes it easy to try on, share, and buy dozens of our best products,” said JC Johnson, GVP of Digital Commerce, Strategy and Insights at Sally Beauty.
This week at CES, Neutrogena debuted a new NEUTROGENA Skin360™app that eliminated the need for a separate skin analysis tool. The 180-degree selfie analysis is now powered by Perfect Corp.’s YouCam technology, that provides lightning fast analysis for a broad range of skin parameters including wrinkles, fine lines, dark under-eye circles, dark spots and smoothness. “Consumers crave a holistic view of the internal and external factors impacting their skin and want expert guidance on how to achieve their best skin ever,” said Natasha Haubrich, Senior Director of Global Innovation for Neutrogena® at Johnson & Johnson Consumer Health. “By eliminating the need for a separate skin analysis tool, the advanced diagnostics and behavior coaching within the NEUTROGENA Skin360™ app is more accessible so everyone can create an actionable, personalized plan to achieve their skin health goals.”
Perfect Corp.’s ‘Beauty AI’ solutions have changed the way brands and retailers connect with their consumers, instore and online. These advancements have allowed expansion outside the color-dominant virtual try-on experience and into skincare and haircare, creating an interactive and personalized consumer journey.
Discover the complete lineup of AI + AR solutions, and real-world implementation, on perfectcorp.com and set up a meeting with the Perfect Corp. team today.
App Availability
YouCam Makeup is available for free download on the App Store and Google Play.
YouCam Perfect is available for free download on the App Store and Google Play.
About Perfect Corp.
With over 800 Million downloads globally, Perfect Corporation is dedicated to transforming how consumers, content creators and beauty brands interact together through AI and AR technologies. Our experienced team of engineers and beauty aficionados are pushing the frontiers of technology to create the beauty platform of the future – a fluid environment where individuals express themselves, learn the latest about fashion and beauty, and enjoy instant access to the products from their favorite brands. Further information about Perfect Corp. can be found at perfectcorp.com
All companies and product names mentioned herein are for identification purposes only and are the sole property of their respective owners. Copyright © 2019 Perfect Corp. All rights reserved.
Contacts
PressCorporate: Peggy Chiang at [email protected] or by phone at: +886-2-8667-1265, ext. 2300
USA: Lindsay London at [email protected] or by phone at +1 (212) 929-7979
Japan: Ryusho Hosaka at [email protected] or by phone at: +81-3-5875-6651
China: Celine Lo at [email protected] or by phone: + 86 1582 112 8182
Europe: Sylvain Delteil at [email protected]
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| Perfect Corp. Showcases Beauty Tech Innovation with 'Beauty AI Personalized Solutions' at CES 2020 | Perfect Corp. Showcases Beauty Tech Innovation Beauty AI Personalized Solutions CES 2020 Broadcast Newsroom Skip content Broadcast Newsroom News Information Broadcast Professionals Primary Menu for: Home2020January8Perfect Corp. Showcases Beauty Tech Innovation Beauty AI Personalized Solutions CES 2020 News Perfect Corp. Showcases Beauty Tech Innovation Beauty AI Personalized Solutions CES 2020 By BN Staff 5 hours ago Perfect Corp. founder CEO, Alice Chang, presents gamechanging YouCam beauty tech solutions meet growing demand personalized consumer shopping experiences. NEW YORKBUSINESS WIREPerfect Corp., leading beauty tech solutions provider worlds leading virtual beauty app, YouCam Makeup, Consumer Electronics Show CES 2020 Innovation Awards honoree, showcases future beauty tech innovation Beauty AI Personalized Solutions 2020 CES Las Vegas. Perfect Corp. founder CEO, Alice Chang, introduced nextgeneration YouCam beauty tech solutions combine advanced artificial intelligence AI augmented reality AR technology deliver personalized, consumercentric solutions drive business. Alice took High Tech Retailing stage CES 2020, alongside special guests Jay Anderson Senior Vice President, Global Brand Technologies The Este Lauder Companies, Natasha Haubrich Senior Director U.S. Innovation Neutrogena, JC Johnson GVP Digital Commerce, Strategy Insights Sally Beauty reveal newest AI AR beauty tech personalized solutions. The technology demonstration panel discussion showcased unique way partner brands leveraging YouCams advanced AI AR technology create tailored, consumercentric beauty shopping experiences speak discerning modernday beauty lover drive business. The indepth discussion focused future beauty tech, Alice coined Beauty AI Personalized Solutions, showcased brands retailers leveraging custom technology solutions omnichannel touchpoints better understand serve customers needs. The modernday consumer craves personalized products them. This means brands need know customers unique demands best serve consumer touchpoints, online offline, explains Alice. Beauty AI gamechanger helps beauty brands retailers understand customers unique needs effectively generate personalized style product recommendations based demand preferences. As early adopter Perfect Corp.s YouCams AR beauty solutions 2015, The Este Lauder Companies approach beauty tech everevolving. By fusing breakthrough technology prestige beauty, brands providing consumers world innovative, personalized, aspirational seamless experiences instore online, said Jay Anderson, Senior Vice President, Global Brand Technologies, The Este Lauder Companies. Artificial intelligence augmented reality technologies like YouCam taking prestige beauty shopping experience new heights, helping consumers perfect lipstick color, foundation shade anytime, anywhere. Alice showcased advanced AI AR innovation opened new realm possibility hair color skin care categories, brands like Sally Beauty Neutrogena developed firsttomarket personalized solutions space. Sally Beautys personalized ColorView virtual hair color tryon experience, powered Perfect Corp.s technology, plays consumercentric strategy matching customers suggested hair product categories hair color shades based individual preferences help beauty shoppers confident purchase decisions. Changing hair color product regimen highly personal choice customers. Our ColorView technology helps guess work selecting products makes easy try on, share, buy dozens best products, said JC Johnson, GVP Digital Commerce, Strategy Insights Sally Beauty. This week CES, Neutrogena debuted new NEUTROGENA Skin360app eliminated need separate skin analysis tool. The 180degree selfie analysis powered Perfect Corp.s YouCam technology, provides lightning fast analysis broad range skin parameters including wrinkles, fine lines, dark undereye circles, dark spots smoothness. Consumers crave holistic view internal external factors impacting skin want expert guidance achieve best skin ever, said Natasha Haubrich, Senior Director Global Innovation Neutrogena Johnson Johnson Consumer Health. By eliminating need separate skin analysis tool, advanced diagnostics behavior coaching NEUTROGENA Skin360 app accessible create actionable, personalized plan achieve skin health goals. Perfect Corp.s Beauty AI solutions changed way brands retailers connect consumers, instore online. These advancements allowed expansion outside colordominant virtual tryon experience skincare haircare, creating interactive personalized consumer journey. Discover complete lineup AI AR solutions, realworld implementation, set meeting Perfect Corp. team today. App Availability YouCam Makeup available free download App Store Google Play. YouCam Perfect available free download App Store Google Play. About Perfect Corp. With 800 Million downloads globally, Perfect Corporation dedicated transforming consumers, content creators beauty brands interact AI AR technologies. Our experienced team engineers beauty aficionados pushing frontiers technology create beauty platform future fluid environment individuals express themselves, learn latest fashion beauty, enjoy instant access products favorite brands. Further information Perfect Corp. All companies product names mentioned identification purposes sole property respective owners. 2019 Perfect Corp. . PressCorporate: Peggy Chiang press phone at: 886286671265, ext. 2300 USA: Lindsay London contact_pr phone 1 212 9297979 Japan: Ryusho Hosaka contact_pr_jpn phone at: 81358756651 China: Celine Lo celine_lo phone: 86 1582 112 8182 Europe: Sylvain Delteil contact_pr_uk Continue Reading Previous Virtual Realitys Role Detox Featured CES 2020 Digital Health SummitNext FOX News Channel Signs Martha MacCallum New MultiYear Deal for: Video NewsCategoriesCategories Select Category 3D Printing 4K 60fps 8K Automation Avid Broadcast CES Asia Community Compositing Content Content Creation Dailies DIT Education Electronics Feature Finishing Grading IBC Image Processing IP Video IQS Lighting Manufacturing Metadata Monitor Music Music Video NAB News Post Production ProRes Review Robotics Storage Streaming Technology Top Story Transcription Tutorial UHD Video Video Editing Video processor Videowall VR Workflow Recent Posts Coaching Corps, NBC Sports Bay Area Announce 6th Annual Coaching Corps Game Changer Awards, Top Bay Area Athletes Honor Influential Coaches Mentors RTL AdConnect TVSquared Partner Bring AlwaysOn Proof Performance European Broadcast TV Campaigns FOX News Channel Signs Martha MacCallum New MultiYear Deal Perfect Corp. Showcases Beauty Tech Innovation Beauty AI Personalized Solutions CES 2020 Virtual Realitys Role Detox Featured CES 2020 Digital Health Summit Archives January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 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 . Magazine 7 AF themes. Close module error: Content protected | 2,020 | [
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https://venturebeat.com/2020/05/14/nvidia-launches-clara-guardian-to-power-smart-hospitals-with-surveillance-sensors-and-edge-ai/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-05-14T00:00:00 | en | Nvidia launches Clara Guardian to power smart hospitals with surveillance, sensors, and edge AI | VentureBeat |
Nvidia launches Clara Guardian to power smart hospitals with surveillance, sensors, and edge AI | VentureBeat
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AI
Nvidia launches Clara Guardian to power smart hospitals with surveillance, sensors, and edge AI
Khari Johnson@kharijohnson May 14, 2020 6:00 AM
Nvidia's Clara AI for COVID-19 diagnosis from CT scansImage Credit: Nvidia
Nvidia today announced the launch of Clara Guardian, a smart hospital edge AI system that uses sensors and cameras to limit the spread of infectious disease and deliver things like operating room analytics or workflow automation. Clara Guardian and partners including AnyVision and Care.ai are currently deployed in 50 hospitals in countries like China, France, Italy, and Israel, covering 10,000 hospital rooms today.
In line with coronavirus-related concerns, Guardian checks people for elevated temperatures, use real-time computer vision for social distancing surveillance, and assists with contactless patient monitoring.
Clara Guardian will also help in the future with things like surgery analytics to handle tasks like keeping track of equipment during an operation.
Nvidia insists smart hospitals can make cleaner environments and reduce the risk of spreading infectious diseases, like COVID-19.
VB Transform 2020 Online - July 15-17: Join leading AI executives at the AI event of the year. Register today and save 30% off digital access passes.“If we can employ technologies like video and voice and use artificial intelligence to have a real-time active engagement to create actions and efficiencies for nurses, that’s a huge gain for health care professionals,” Nvidia VP of health care Kimberly Powell said in a call with reporters.
Nvidia CEO Jensen Huang today announced a series of news items central to the future of AI development via a prerecorded GTC keynote address. High on the list of news is the release of A100, Nvidia’s most powerful GPU to date, and the Ampere GPU architecture. The A100 promises 20 times better performance on training and inference compared to its predecessor, the Tesla V100.
The A100 GPU will be available in public clouds environments and for the acceleration of Apache Spark 3.0 and AI-powered Nvidia SDKs like Merlin and Jarvis.
Clara Guardian works with Nvidia’s suite of EGX edge AI chips — ranging from Jetson chip embedded in devices to T4 edge inferencing servers. Today, Nvidia also released Jetson Xavier NX and the EGX A100, the first edge chip to utilize the Ampere GPU architecture. The EGX A100 will be available in late 2020.
Nvidia also said it’s building a DGX A100 supercomputer for Argonne National Laboratory, a member of the COVID-19 High Performance Computing consortium. The supercomputer will carry out simulations to understand genetics and how molecules interact with each other.
Also new today from Nvidia’s health care team: Pretrained models for lung segmentation and COVID-19 detection from CT scan imagery. The models are trained on data from China, Japan, the U.S., and Italy. Staff from the National Institutes of Health labeled the data, Powell said.
Quite a few pretrained COVID-19 detection models are available today, but in many places — including the United States — using CT scans for COVID-19 diagnosis is not the standard of care. But Powell urged the continued development of AI for CT scan imagery as way to evaluate the severity of illness in a patient.
“These models can be used as building blocks [for] future things, like predicting whether a patient is going to go into an ICU, that will accelerate future research,” she said.
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| Nvidia launches Clara Guardian to power smart hospitals with surveillance, sensors, and edge AI | Nvidia launches Clara Guardian power smart hospitals surveillance, sensors, edge AI VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Security Deals Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Log Out AI Nvidia launches Clara Guardian power smart hospitals surveillance, sensors, edge AI Khari Johnson May 14, 2020 6:00 AM Nvidias Clara AI COVID19 diagnosis CT scansImage Credit: Nvidia Nvidia today announced launch Clara Guardian, smart hospital edge AI uses sensors cameras limit spread infectious disease deliver things like operating room analytics workflow automation. Clara Guardian partners including AnyVision Care.ai currently deployed 50 hospitals countries like China, France, Italy, Israel, covering 10,000 hospital rooms today. In line coronavirusrelated concerns, Guardian checks people elevated temperatures, use realtime vision social distancing surveillance, assists contactless patient monitoring. Clara Guardian help future things like surgery analytics handle tasks like keeping track equipment operation. Nvidia insists smart hospitals cleaner environments reduce risk spreading infectious diseases, like COVID19. VB Transform 2020 Online July 1517: Join leading AI executives AI event year. today save 30 digital access passes.If employ technologies like video voice use artificial intelligence realtime active engagement create actions efficiencies nurses, thats huge gain health care professionals, Nvidia VP health care Kimberly Powell said reporters. Nvidia CEO Jensen Huang today announced series news items central future AI development prerecorded GTC keynote address. High list news release A100, Nvidias powerful GPU date, Ampere GPU architecture. The A100 promises 20 times better performance training inference compared predecessor, Tesla V100. The A100 GPU available public clouds environments acceleration Apache Spark 3.0 AIpowered Nvidia SDKs like Merlin Jarvis. Clara Guardian works Nvidias suite EGX edge AI chips ranging Jetson chip embedded devices T4 edge inferencing servers. Today, Nvidia released Jetson Xavier NX EGX A100, edge chip utilize Ampere GPU architecture. The EGX A100 available late 2020. Nvidia said building DGX A100 supercomputer Argonne National Laboratory, member COVID19 High Performance Computing consortium. The supercomputer carry simulations understand genetics molecules interact other. Also new today Nvidias health care team: Pretrained models lung segmentation COVID19 detection CT scan imagery. The models trained data China, Japan, U.S., Italy. Staff National Institutes Health labeled data, Powell said. Quite pretrained COVID19 detection models available today, places including United States CT scans COVID19 diagnosis standard care. But Powell urged continued development AI CT scan imagery way evaluate severity illness patient. These models building blocks [for] future things, like predicting patient going ICU, accelerate future research, said. VB Transform The AI event business leaders Hosted Online July 15 17 Learn More Most Read Epic Games: Unreal Engine 5 bring generational change graphics Spatial gives enterprises free access holographic ARVR meeting app RPA startup FortressIQ raises 30 million Nvidia CEO cooks worlds largest graphics card GTC 2020 Intel Capital commits 132 million 11 AI startups UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. Get lifetime SSDpowered web hosting 40 These slide templates presentation pop 30 This app suite gives access 50 tools designed entrepreneurs 9 skills teach youre lockdown home Replace blur background video 19.99 This Apple Editors Choice awardwinning app makes working PDFs simple Save 40 UVC sterilizer wand If youre looking digital LED infrared nocontact thermometer, heres sale Supercharge WordPress shop premium plugins Cure quarantine blues time meditation app View deals store | 2,020 | [
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https://uploadvr.com/microsoft-5g-apple-vp/ | 2020-04-14T00:00:00 | en | Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products | Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products Login / RegisterTOP STORIESREVIEWSPODCASTOUR TEAM LightDarkFollow Us Copyright 2019 UVR Media LLC. Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products TOP STORIESREVIEWSPODCASTOUR TEAM LightDark ARMicrosoft Hires Apple 5G Chief To Develop New HoloLens And AI Products
VentureBeatApril 14, 2020 Most of Apple’s key executives and engineers are anonymous, never appearing on stage or in news stories, but Rubén Caballero is an exception — a long-term wireless engineering VP who helped develop multiple iPhones dating back to the original model, and reportedly red-flagged the iPhone 4’s antenna design internally before it became infamous. Now Caballero has joined Microsoft, his LinkedIn page confirms (via Bloomberg), and his new role could be significant: He left Apple during its 5G modem development drama, and is likely to bring significant cellular and related wireless expertise to his new employer.Caballero’s new position includes hardware design and technology engineering for Microsoft’s mixed reality and AI division, which he notes will include “HoloLens, Special Projects and more to come” — the sort of open-ended purview that suggests eventual involvement with many Microsoft-branded devices. During his 14 years at Apple, Caballero was significantly involved in the wireless chip and antenna components for not only iPhones but also iPads, Macs, recent Apple TVs, and the final AirPort wireless routers, which is to say that his work for Microsoft may eventually include improving the cellular or wireless performance of Surface computers and AI-fueled “smart devices,” in addition to mixed reality hardware.Today, HoloLens is one of the key Microsoft products that could benefit from his cellular engineering expertise. The current-generation headset uses Wi-Fi and Bluetooth for communications, but it doesn’t have integrated cellular capabilities — something that the last two all-in-one HoloLens designs might struggle to deliver given their placement of all hardware on the user’s head. While cellular phones are widely considered safe for brief periods of direct head exposure, radio emission guidelines typically recommend limiting up-close ear use to short periods of time, with headphones or speakerphone modes as options.Leading AR headset makers are all working towards lighter, more comfortable wearables with integrated high-speed wireless connectivity, though companies may vary in choosing Wi-Fi (such as Wi-Fi 6E), one of several 5G cellular frequency bands, or a future Bluetooth standard. In any case, familiarity with cutting-edge antenna and chip designs will be critical for engineering next-generation devices with smaller sizes and less power consumption.Immediately prior to leaving Apple last year, Caballero was reportedly sidelined in efforts to internally develop the company’s 5G modem, as the company opted instead to purchase Intel’s 5G smartphone modem business for senior engineering VP Johny Srouji to lead. He subsequently became an adviser or strategist for four different companies, including at least two staffed with former key Apple employees — wireless venture Keyssa, backed by iPod and Nest pioneer Tony Fadell, and secretive startup Humane, run by iPad UX leads Bethany Bongiorno and Imran Chaudhri. It remains to be seen whether Caballero will continue to participate in those ventures during his tenure at Microsoft, but they’re currently listed as present rather than past tense on his profile.This post by Jeremy Horwitz originally appeared on VentureBeat. Related Posts HoloLens 2 Now Shipping, Microsoft AnnouncesHoloLens 2, Microsoft's second enterprise-level AR headset, is now shipping. HoloLens 2 was introduced at… Microsoft Expands HoloLens To 29 New European MarketsMicrosoft announced its HoloLens mixed reality headset is coming to 29 new markets across Europe.… SketchAR Brings AR Art To Microsoft's HoloLensWhen we first saw SketchAR, the app let us use our iPhones to trace over… Categories AR VR
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| Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products | Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products TOP STORIESREVIEWSPODCASTOUR TEAM LightDark 2019 UVR Media LLC. Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products TOP STORIESREVIEWSPODCASTOUR TEAM LightDark ARMicrosoft Hires Apple 5G Chief To Develop New HoloLens And AI Products VentureBeatApril 14, 2020 Most Apples key executives engineers anonymous, appearing stage news stories, Rubn Caballero exception longterm wireless engineering VP helped develop multiple iPhones dating theoriginal model, reportedlyredflagged iPhone 4s antenna designinternally becameinfamous. Now Caballero joined Microsoft, LinkedIn confirmsviaBloomberg, new role significant: He left Apple 5G modem development drama, likely bring significant cellular related wireless expertise new employer.Caballeros new position includes hardware design technology engineering Microsofts mixed reality AI division, notes include HoloLens, Special Projects come sort openended purview suggests eventual involvement Microsoftbranded devices. During 14 years Apple, Caballero significantly involved wireless chip antenna components iPhones iPads, Macs, recent Apple TVs, final AirPort wireless routers, work Microsoft eventually include improving cellular wireless performance Surface computers AIfueled smart devices, addition mixed reality hardware.Today, HoloLens key Microsoft products benefit cellular engineering expertise. Thecurrentgeneration headsetuses WiFi Bluetooth communications, doesnt integrated cellular capabilities allinone HoloLens designs struggle deliver given placement hardware users head. While cellular phones widely considered safe brief periods direct head exposure, radio emission guidelines typically recommend limiting upclose ear use short periods time, headphones speakerphone modes options.Leading AR headset makers working lighter, comfortable wearables integrated highspeed wireless connectivity, companies vary choosingWiFi WiFi 6E, ofseveral 5G cellular frequency bands, future Bluetooth standard. In case, familiarity cuttingedge antenna chip designs critical engineering nextgeneration devices smaller sizes power consumption.Immediately prior leaving Apple year, Caballero wasreportedly sidelinedin efforts internally develop companys 5G modem, company opted instead topurchase Intels 5G smartphone modem businessforsenior engineering VP Johny Sroujito lead. He subsequently adviser strategist different companies, including staffed key Apple employees wireless venture Keyssa, backed iPod Nest pioneerTony Fadell, secretive startupHumane,run iPad UX leads Bethany Bongiorno Imran Chaudhri. It remains seen Caballero continue participate ventures tenure Microsoft, theyre currently listed present past tense profile.This post Jeremy Horwitz originally appeared VentureBeat. Related Posts HoloLens 2 Now Shipping, Microsoft AnnouncesHoloLens 2, Microsofts second enterpriselevel AR headset, shipping. HoloLens 2 introduced Microsoft Expands HoloLens To 29 New European MarketsMicrosoft announced HoloLens mixed reality headset coming 29 new markets Europe. SketchAR Brings AR Art To Microsofts HoloLensWhen saw SketchAR, app let use iPhones trace Categories AR VR VentureBeatShare This 30 mins ago Latest Microsoft Hires Apple 5G Chief To Develop New HoloLens And AI Products VentureBeatApril 14, 2020 Amazing HalfLife: Alyx PC Build Looks Straight Out Of City 17 Jamie FelthamApril 14, 2020 How To Use Your Oculus Quest While Charging The Battery Harry BakerApril 14, 2020 Categories360 160360 Video 3613D Capture 28Acer 3Advertising 20Amazon 2AMD 9Announcements 114Apple 49AR 662Arcade 1Arcades 86Architecture 3Art 94Art Science 279Asia 9CES 121Comic Con 3Community 36Construction 4Controllers 84Daydream 37Development 143Discussion 102DIY 6E3 169E3 20Editorials 332Education 103Education 26Enterprise 32Entertainment 683Epic Games 5Events 381Experience 15Experiences 3,741Eye Tracking 26Facebook 142Featured 1,610Field View 1Fitness 8Flashbacks 11Gamecast 12Gamescom 5Gaming 4,651Gaming 49GDC 2GDC 2015 21GDC 2016 11GDC 2019 2Giveaway 20Google 79Google Cardboard 17Google Daydream 48Google VR 42GPU 20Guest Editorial 5Hand Tracking 40Haptics 49Hardware 570Hardware 7Health Care 34HoloLens 2 7Howto 31HP 1HTC Vive 608HTC Vive Cosmos 62HTC Vive Focus 20HTC Vive Focus Plus 11HTC Vive Pro 26HTC Vive Pro Eye 21Humor 19Index 29Intel 14Interviews 115Investments 132John Carmack 2Lenovo 19LG 7Live In VR 5Live Streams 124Magic Leap 27Manufacturing 3Meta 2Microsoft 145Mixed Reality 32Mobile VR 24Motion Capture 21Nintendo 37Nintendo Labo VR 9nReal 2NSFW 16Nvidia 5OC6 6Oculus 145Oculus Connect 24Oculus Go 11Oculus Go 69Oculus Quest 322Oculus Rift 808Oculus Rift S 179Palmer Luckey 1PC 27Pimax 51Podcasts 48Presence 10PSVR 587PSVR 137PSVR 2 30QA 9Quest 42Real Estate 3Research 43Retail 26Reviews 528Rift 161Rumors 17Samsung 7Samsung Gear VR 166Samsung Odyssey 8Siggraph 4Simulators 10Social VR 253Software 51Sony 144Sponsored 34Sports 9Startups 139SXSW 2The Void 1The VR Culture Show 4The VR Download 33Transportation 3Twitter 1Ubisoft 5Unity 15Unity Engine 19Unreal Engine 15Valve 127Valve Index 113Video 198Vive 141VR 662VR Awards 3VR Cameras 71VR Cast 2VR esports 3VR Headsets 333VR History 2VR Industry News 2,575VR Jobs 14VR Showcase 8VRecap 32WebVR 15Windows VR 75Xbox 7Latest News ExperiencesAmazing HalfLife: Alyx PC Build Looks Straight Out Of City 17 VRHow To Use Your Oculus Quest While Charging The Battery GamingRumor: Resident Evil 8 Will lude PSVR Support, Releasing In 2021 GamingSpellPunk Is A Vibrant MagicDueling VR Game Coming This Month For PC VRLatest Posts ARMicrosoft Hires Apple 5G Chief To Develop New HoloLens And AI Products ExperiencesAmazing HalfLife: Alyx PC Build Looks Straight Out Of City 17 VRHow To Use Your Oculus Quest While Charging The BatteryMost viewedWEEKMONTHALL 1 VR Industry NewsUnplugged: Air Guitar Is Like Guitar Hero And Rock Band But Powered By Oculus Quest Hand Tracking 2 ExperiencesWatch: HalfLife: Alyx XenThug Horde Mode Mod Is Frantic Fun 3 GamingPlay Any MP3 With VR Rhythm Game Audioshield On Oculus Quest Facebook Twitter YouTube Discord Invite Twitch 2019 UVR Media LLC. 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] | 1 | NEGATIVE | 657 |
https://www.latestly.com/agency-news/india-news-drdo-research-centre-develops-non-contact-ai-based-attendance-system-1774333.html | 2020-05-23T00:00:00 | en | India News | DRDO Research Centre Develops Non-contact AI Based Attendance System | LatestLY |
India News | DRDO Research Centre Develops Non-contact AI Based Attendance System | LatestLY
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India News | DRDO Research Centre Develops Non-contact AI Based Attendance System
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ANI|
May 23, 2020 11:16 PM IST
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Hyderabad (Telangana) [India], May 23 (ANI): COVID-19 pandemic has presently made it unsafe to use contact based biometric verification for attendance marking systems. To circumvent this problem, Research Centre Imarat (RCI), DRDO, has successfully developed AI based Attendance Application (AINA) which allows non-contact based personnel verification using facial features of the person captured with the help of a low cost camera. AINA can be deployed with minimal upgradation to the legacy attendance infrastructure with RFID readers. It can be installed on a normal desktop computer with a GPU based display adapter.Also Read | Eid Moon Sighting 2020 in Jammu And Kashmir: Shawwal Crescent Sighted, Eid-al-Fitr Tomorrow.Existing CCTV cameras can be utilised for capturing facial images. Facial features of several thousands of employees can be stored in the computer since for each employee the facial features are encoded in a small (less than 25 KB) file. The system is fully scalable since the time for identification and verification for each person remains constant even as the number of registered personnel increases.Also Read | Foreign Liquor Sale Allowed in Uttar Pradesh Malls, State Government Approves Excise Rules 2020.It is fully secure as it works as a standalone system and does not require any connection to the Internet. Since only the facial features are saved in an encoded form, the actual face images need not be saved. thereby ensuring privacy and security.Also, the server storing the facial feature database is confined to the organisation premises. AINA has a light-weight installation process. AINA comes with a very intuitive and user-friendly GUI with audio prompts which can be optionally disabled. The application has been currently installed in ESIC Hospital, Hyderabad. (ANI)(This is an unedited and auto-generated story from Syndicated News feed, LatestLY Staff may not have modified or edited the content body)
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To circumvent problem, Research Centre Imarat RCI, DRDO, successfully developed AI based Attendance Application AINA allows noncontact based personnel verification facial features person captured help low cost camera. AINA deployed minimal upgradation legacy attendance infrastructure RFID readers. It installed normal desktop GPU based display adapter.Also Read Eid Moon Sighting 2020 Jammu And Kashmir: Shawwal Crescent Sighted, EidalFitr Tomorrow.Existing CCTV cameras utilised capturing facial images. Facial features thousands employees stored employee facial features encoded small 25 KB file. The fully scalable time identification verification person remains constant number registered personnel increases.Also Read Foreign Liquor Sale Allowed Uttar Pradesh Malls, State Government Approves Excise Rules 2020.It fully secure works standalone require connection Internet. Since facial features saved encoded form, actual face images need saved. ensuring privacy security.Also, server storing facial feature database confined organisation premises. AINA lightweight installation process. AINA comes intuitive userfriendly GUI audio prompts optionally disabled. The application currently installed ESIC Hospital, Hyderabad. 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] | 1 | POSITIVE | 658 |
https://www.cenlanow.com/news/business/white-house-proposes-guidelines-for-regulating-the-use-of-ai/ | 2020-01-08T00:00:00 | en | White House proposes guidelines for regulating the use of AI | WNTZ - cenlanow.com |
White House proposes guidelines for regulating the use of AI | WNTZ - cenlanow.com
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White House proposes guidelines for regulating the use of AI
Business
by: MATT O'BRIEN, Associated Press
Posted: Jan 7, 2020 / 08:35 AM CST
/ Updated: Jan 7, 2020 / 03:46 PM 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)
The Trump administration is proposing new rules to guide future federal regulation of artificial intelligence used in medicine, transportation and other industries.
But the vagueness of the principles announced by the White House is unlikely to satisfy AI watchdogs who have warned of a lack of accountability as computer systems are deployed to take on human roles in high-risk social settings, such as mortgage lending or job recruitment.
The White House said that in deciding regulatory action, U.S. agencies “must consider fairness, non-discrimination, openness, transparency, safety, and security.” But federal agencies must also avoid setting up restrictions that “needlessly hamper AI innovation and growth,” reads a memo being sent to U.S. agency chiefs from Russell Vought, acting director of the Office of Management and Budget.
“Agencies must avoid a precautionary approach that holds AI systems to such an impossibly high standard that society cannot enjoy their benefits,” the memo says.
The rules won’t affect how federal agencies such as law enforcement use facial recognition and other forms of AI. They are specifically limited to how federal agencies devise new AI regulations for the private sector. There’s a 60-day public comment period before the rules take effect.
“These principles are intentionally high-level,” said Lynne Parker, U.S. deputy chief technology officer at the White House’s Office of Science and Technology Policy. “We purposely wanted to avoid top-down, one-size-fits-all, blanket regulations.”
The White House said the proposals unveiled Tuesday are meant to promote private sector applications of AI that are safe and fair, while also pushing back against stricter regulations favored by some lawmakers and activists.
Federal agencies such as the Food and Drug Administration and the Federal Aviation Administration will be bound to follow the new AI principles. That makes the rules “the first of their kind from any government,” Michael Kratsios, the U.S. chief technology officer, said in a call with reporters Monday.
Rapid advancements in AI technology have raised fresh concern as computers increasingly take on jobs such as diagnosing medical conditions, driving cars, recommending stock investments, judging credit risk and recognizing individual faces in video footage. It’s often not clear how AI systems make their decisions, leading to questions of how far to trust them and when to keep humans in the loop.
Terah Lyons of the nonprofit Partnership on AI, which advocates for responsible AI and has backing from major tech firms and philanthropies, said the White House principles won’t likely have sweeping or immediate effects. But she said she was encouraged that they detailed a U.S. approach centered on values such as trustworthiness and fairness.
“The AI developer community may see that as a positive step in the right direction,” said Lyons, who previously worked for the White House science and technology office during the Obama administration. “It’s a little bit hard to see what the actual impact will be.”
What’s missing, she added, are clear mechanisms for holding AI systems accountable.
Another tech watchdog, New York University’s AI Now Institute, said it welcomed new boundaries on AI applications but it “will take time to assess how effective these principles are in practice.”
Kratsios said he hopes the new principles can serve as a template for other democratic institutions such as the European Commission, which has put forward its own AI ethical guidelines, to preserve shared values without impeding the tech industry.
That, he said, is “the best way to counter authoritarian uses of AI” by governments that aim to “track, surveil and imprison their own people.” The Trump administration has sought to penalize China over the past year over AI uses the U.S. considers abusive.
The U.S. Commerce Department last year blacklisted several Chinese AI firms after the Trump administration said they were implicated in the repression of Muslims in the country’s Xinjiang region. On Monday, citing national security concerns, the agency set limits on exporting AI software used to analyze satellite imagery.
Copyright 2020 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.
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| White House proposes guidelines for regulating the use of AI | White House proposes guidelines regulating use AI WNTZ Skip content WNTZ Alexandria 34 Sponsored By Toggle Menu Open Navigation Close Navigation Primary Menu News Election HQ Local News State News National News International News Crime Military News Washington D.C. Bureau Border Report Tour Business News Health News Entertainment News Top Stories Key events leading USIran confrontation Top Stories Iran strikes US missile attack bases Iraq Philippines orders evacuation Filipinos Iraq, Iran The Latest: Syria supports Iran missile strike US Highstakes decision looms Trump showdown Iran Newsfeed Now Weather Forecast Weather Headlines Interactive Radar Sports Geaux Black Gold Geaux Nation The Big Game Japan 2020 NCAA NFL NBA Top Stories Ancer looking Presidents Cup bounce Honolulu Top Stories NHL games loss depending netfront play Top Stories Game Regions: Contentious school merger spawns champion Column: Black coaching hires dismal level NFL Anthony Davis bruises Lakers 11787 win Knicks Kings rally 21 points down, beat Suns 114103 Features I Pledge Premier Health Tips FOX 48 Hometown Heroes Legacy: Americas Veterans Contests Remarkable Women Pro Football Challenge FOX 48 Contest Winners Home Holidays Community Community News Events Community Calendar Watch Now TV Schedule FOX Now FOX Sports App The Mel Robbins Show Antennas Digital Television 2019 Frequency Change Us Advertise Us Careers Us White House proposes guidelines regulating use AI Business by: MATT OBRIEN, Associated Press Posted: Jan 7, 2020 08:35 AM CST Updated: Jan 7, 2020 03:46 PM 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 The Trump administration proposing new rules guide future federal regulation artificial intelligence medicine, transportation industries. But vagueness principles announced White House unlikely satisfy AI watchdogs warned lack accountability systems deployed human roles highrisk social settings, mortgage lending job recruitment. The White House said deciding regulatory action, U.S. agencies consider fairness, nondiscrimination, openness, transparency, safety, security. But federal agencies avoid setting restrictions needlessly hamper AI innovation growth, reads memo sent U.S. agency chiefs Russell Vought, acting director Office Management Budget. Agencies avoid precautionary approach holds AI systems impossibly high standard society enjoy benefits, memo says. The rules wont affect federal agencies law enforcement use facial recognition forms AI. They specifically limited federal agencies devise new AI regulations private sector. Theres 60day public comment period rules effect. These principles intentionally highlevel, said Lynne Parker, U.S. deputy chief technology officer White Houses Office Science Technology Policy. We purposely wanted avoid topdown, onesizefitsall, blanket regulations. The White House said proposals unveiled Tuesday meant promote private sector applications AI safe fair, pushing stricter regulations favored lawmakers activists. Federal agencies Food Drug Administration Federal Aviation Administration bound follow new AI principles. That makes rules kind government, Michael Kratsios, U.S. chief technology officer, said reporters Monday. Rapid advancements AI technology raised fresh concern computers increasingly jobs diagnosing medical conditions, driving cars, recommending stock investments, judging credit risk recognizing individual faces video footage. Its clear AI systems decisions, leading questions far trust humans loop. Terah Lyons nonprofit Partnership AI, advocates responsible AI backing major tech firms philanthropies, said White House principles wont likely sweeping immediate effects. But said encouraged detailed U.S. approach centered values trustworthiness fairness. The AI developer community positive step right direction, said Lyons, previously worked White House science technology office Obama administration. Its little bit hard actual impact be. Whats missing, added, clear mechanisms holding AI systems accountable. Another tech watchdog, New York Universitys AI Now Institute, said welcomed new boundaries AI applications time assess effective principles practice. Kratsios said hopes new principles serve template democratic institutions European Commission, forward AI ethical guidelines, preserve shared values impeding tech industry. That, said, best way counter authoritarian uses AI governments aim track, surveil imprison people. The Trump administration sought penalize China past year AI uses U.S. considers abusive. The U.S. Commerce Department year blacklisted Chinese AI firms Trump administration said implicated repression Muslims countrys Xinjiang region. On Monday, citing national security concerns, agency set limits exporting AI software analyze satellite imagery. 2020 The Associated Press. . This material published, broadcast, rewritten redistributed. Share story More Business Stories EU chief warns UK compromise Brexit trade deal JILL LAWLESS RAF CASERT, Associated Press Jan 8, 2020 LONDON AP The European Commissions president warned Britain Wednesday wont highest quality access European Unions market Brexit makes major compromises. Ursula von der Leyen said negotiating new U.K.EU trade deal tough, choice comes consequence. Read Full Article German factory orders 1.3 November Jan 8, 2020 BERLIN AP German factory orders dropped 1.3 November compared previous month, pushed drop foreign demand low bulk orders. The drop orders, important indicator Europes biggest economy, followed modest gain 0.2 October. Read Full Article Strike millions workers hit businesses India Jan 8, 2020 NEW DELHI AP Banking businesses India suffered Wednesday millions workers went strike protesting Hindu nationalist governments economic policies, especially planned sale stateowned companies including Air India. Protesters marched streets New Delhi state capitals response strike given 10 workers unions. 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https://www.foxbusiness.com/technology/how-ibm-ai-harley-davidson-motorcycle-riders | 2020-01-03T00:00:00 | en | How IBM uses AI to help Harley-Davidson find future riders | Fox Business |
How IBM uses AI to help Harley-Davidson find future riders | Fox Business
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FAQ - Updated Privacy PolicyFuture TechPublished 1 hour agoHow IBM uses AI to help Harley-Davidson find future ridersFacebookTwitterCommentsPrintEmailBy James LeggateFOXBusinessclosevideoHow AI will drive your businessIBM data and artificial intelligence general manager Robert Thomas discusses the future of AI technology in the workplace and in doing business.Harley-Davidson is using artificial intelligence to find customers as it has struggled with a sales slump.Continue Reading BelowIBM has worked with the motorcycle maker on the AI project, according to Robert Thomas, IBM’s data and artificial intelligence general manager. He discussed it this week during an interview with FOX Business’ Lauren Simonetti on “Mornings with Maria” about the business applications of AI.“The work we’ve done with Harley-Davidson — they’re now making better predictions about future motorcycle owners,” Thomas said. “They could not do that manually — too much data, too much work that would have to occur.”AI IN BUSINESS EXPLODING, IBM SAYSBuilt on IBM Cloud, this platform is the foundation on which Harley-Davidson will provide its riders with new services. (Credit: Harley-Davidson via IBM)HARLEY-DAVIDSON’S YOUNG RIDERS HIT RECORD, DESPITE RETAIL SALES SLUMPHarley-Davidson declined to comment for this story.The effort may be working. In July, Harley-Davidson boasted that it saw a record number of riders in 2018 — more than 3 million — and that it saw more young riders buying its motorcycles. New U.S. retail sales among customers aged 18-34 increased by 2.7 percent.“The decisions and investments we’re making, within a highly dynamic and competitive global marketplace, demonstrate our intense focus to build the next generation of riders and maximize shareholder value,” Matt Levatich, Harley’s president and CEO, said at the time.GET FOX BUSINESS ON THE GO BY CLICKING HEREModel Year 2020 LiveWire. (Credit: Harley-Davidson)HARLEY-DAVIDSON’S 5 NEW MODELS TO LOOK FOR IN 2020Last year, IBM said it was also working with Harley-Davidson on the new LiveWire, Harley’s first electric motorcycle. The tech company said it was applying its AI "enhance and evolve the rider's experience of the vehicle." Riders will be able to check on their motorcycles through an app, seeing details like range and charge level, and they’ll be able to track their bikes if they’re ever stolen.CLICK HERE TO READ MORE ON FOX BUSINESSMarketsMarket Update sponsored byAdvertisementLatest on Fox Businessjust inAmtrak on track to reach break even for first time in 50 yearsvideo13 mins agoMarket should celebrate Fed minutes: Former Dallas Fed adviservideo14 mins agoGamers get ready: What to look forward to in 2020AdvertisementMoneyPersonal FinanceCollegeRetirementTax PlanningCredit & DebtInsuranceSavingsSmall BusinessGovernment SpendingMoney in Politics2020 CampaignDefenseEnergyClimate ChangeRenewable EnergyBest of BusinessMarketsPre-MarketsUS MarketsFutures & CommoditiesBondsFunds & ETF'sBusiness LeadersIndustriesRetailLifestyleRich & FamousTravelCarsAirplanesFood & DrinksArtsReal EstatePersonalCommercialLuxury PropertiesTechDigitalSocial MediaGadgetsBusiness TechHealthcare TechFuture TechAISpace TechSportsNFLNBAMLBNASCARBoxingSoccerGolfTennisOpinionShowsFBN:amMornings with MariaVarney & CoCavuto: Coast to CoastMaking Money with Charles PayneThe Claman CountdownAfter the BellBulls & BearsThe Evening EditLou Dobbs TonightTrish Regan PrimetimeKennedyStrange Inheritance with Jamie ColbyMaria Bartiromo's Wall StreetWSJ at Large with Gerry BakerBarron's RoundtableAboutChannel FinderDo Not Sell my Personal InformationJobsTerms of UseUpdated Privacy PolicyFAQMedia RelationsClosed Captioning PolicyOtherFox NewsFox NationFox Business GoApps & ProductsFacebookTwitterFox BusinessNew Terms of UseNew Privacy PolicyHelpClosed Captioning PolicyQuotes delayed at least 15 minutes. Real-time quotes provided by BATS BZX Real-Time Price. Market Data provided by Interactive Data (Terms & Conditions). Powered and Implemented by Interactive Data Managed Solutions. Company fundamental data provided by Morningstar. Earnings estimates data provided by Zacks. Mutual fund and ETF data provided by Lipper. Economic data provided by Econoday. Dow Jones & Company Terms & Conditions.This material may not be published, broadcast, rewritten, or redistributed. ©2020 FOX News Network, LLC. All rights reserved. FAQ - Updated Privacy Policy
| How IBM uses AI to help Harley-Davidson find future riders | How IBM uses AI help HarleyDavidson future riders Fox Business Fox BusinessMoneyMarketsLifestyleReal EstateTechSportsTVPodcastsMoreExpand Collapse searchWatch TVMoneyPersonal FinanceCollegeRetirementTax PlanningCredit DebtInsuranceSavingsSmall BusinessGovernment SpendingMoney Politics2020 CampaignDefenseEnergyClimate ChangeRenewable EnergyBest BusinessMarketsPreMarketsUS MarketsFutures CommoditiesBondsFunds ETFsBusiness LeadersIndustriesRetailLifestyleRich FamousTravelCarsAirplanesFood DrinksArtsReal EstatePersonalCommercialLuxury PropertiesTechDigitalSocial MediaGadgetsBusiness TechHealthcare TechFuture TechAISpace TechSportsNFLNBAMLBNASCARBoxingSoccerGolfTennisOpinionShowsFBN:amMornings MariaVarney CoCavuto: Coast CoastMaking Money Charles PayneThe Claman CountdownAfter BellBulls BearsThe Evening EditLou Dobbs TonightTrish Regan PrimetimeKennedyStrange Inheritance Jamie ColbyMaria Bartiromos Wall StreetWSJ Large Gerry BakerBarrons RoundtableAboutChannel FinderDo Not Sell Personal InformationJobsTerms UseUpdated FAQMedia RelationsClosed Captioning PolicyOtherFox NewsFox NationFox Business GoApps ProductsFacebookTwitterFox BusinessNew Terms UseNew HelpClosed Captioning PolicyQuotes delayed 15 minutes. Realtime quotes provided BATS BZX RealTime Price. Market Data provided Interactive Data Terms Conditions. Powered Implemented Interactive Data Managed Solutions. Company fundamental data provided Morningstar. Earnings estimates data provided Zacks. Mutual fund ETF data provided Lipper. Economic data provided Econoday. Dow Jones Company Terms Conditions.This material published, broadcast, rewritten, redistributed. 2020 FOX News Network, LLC. . FAQ Updated Future TechPublished 1 hour agoHow IBM uses AI help HarleyDavidson future ridersFacebookTwitterCommentsPrintEmailBy James LeggateFOXBusinessclosevideoHow AI drive businessIBM data artificial intelligence general manager Robert Thomas discusses future AI technology workplace business.HarleyDavidson artificial intelligence customers struggled sales slump.Continue Reading BelowIBM worked motorcycle maker AI project, according Robert Thomas, IBMs data artificial intelligence general manager. He discussed week interview FOX Business Lauren Simonetti Mornings Maria business applications AI.The work weve HarleyDavidson theyre making better predictions future motorcycle owners, Thomas said. They manually data, work occur.AI IN BUSINESS EXPLODING, IBM SAYSBuilt IBM Cloud, platform foundation HarleyDavidson provide riders new services. Credit: HarleyDavidson IBMHARLEYDAVIDSONS YOUNG RIDERS HIT RECORD, DESPITE RETAIL SALES SLUMPHarleyDavidson declined comment story.The effort working. In July, HarleyDavidson boasted saw record number riders 2018 3 million saw young riders buying motorcycles. New U.S. retail sales customers aged 1834 increased 2.7 percent.The decisions investments making, highly dynamic competitive global marketplace, demonstrate intense focus build generation riders maximize shareholder value, Matt Levatich, Harleys president CEO, said time.GET FOX BUSINESS ON THE GO BY CLICKING HEREModel Year 2020 LiveWire. Credit: HarleyDavidsonHARLEYDAVIDSONS 5 NEW MODELS TO LOOK FOR IN 2020Last year, IBM said working HarleyDavidson new LiveWire, Harleys electric motorcycle. The tech company said applying AI enhance evolve riders experience vehicle. Riders able check motorcycles app, seeing details like range charge level, theyll able track bikes theyre stolen.CLICK HERE TO READ MORE ON FOX BUSINESSMarketsMarket Update sponsored byAdvertisementLatest Fox Businessjust inAmtrak track reach break time 50 yearsvideo13 mins agoMarket celebrate Fed minutes: Former Dallas Fed adviservideo14 mins agoGamers ready: What look forward 2020AdvertisementMoneyPersonal FinanceCollegeRetirementTax PlanningCredit DebtInsuranceSavingsSmall BusinessGovernment SpendingMoney Politics2020 CampaignDefenseEnergyClimate ChangeRenewable EnergyBest BusinessMarketsPreMarketsUS MarketsFutures CommoditiesBondsFunds ETFsBusiness LeadersIndustriesRetailLifestyleRich FamousTravelCarsAirplanesFood DrinksArtsReal EstatePersonalCommercialLuxury PropertiesTechDigitalSocial MediaGadgetsBusiness TechHealthcare TechFuture TechAISpace TechSportsNFLNBAMLBNASCARBoxingSoccerGolfTennisOpinionShowsFBN:amMornings MariaVarney CoCavuto: Coast CoastMaking Money Charles PayneThe Claman CountdownAfter BellBulls BearsThe Evening EditLou Dobbs TonightTrish Regan PrimetimeKennedyStrange Inheritance Jamie ColbyMaria Bartiromos Wall StreetWSJ Large Gerry BakerBarrons RoundtableAboutChannel FinderDo Not Sell Personal InformationJobsTerms UseUpdated FAQMedia RelationsClosed Captioning PolicyOtherFox NewsFox NationFox Business GoApps ProductsFacebookTwitterFox BusinessNew Terms UseNew HelpClosed Captioning PolicyQuotes delayed 15 minutes. Realtime quotes provided BATS BZX RealTime Price. Market Data provided Interactive Data Terms Conditions. Powered Implemented Interactive Data Managed Solutions. Company fundamental data provided Morningstar. Earnings estimates data provided Zacks. Mutual fund ETF data provided Lipper. Economic data provided Econoday. Dow Jones Company Terms Conditions.This material published, broadcast, rewritten, redistributed. 2020 FOX News Network, LLC. . FAQ Updated | 2,020 | [
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Impact Of Covid 19 On Artificial Intelligence-Emotion Recognition Industry 2020 Market Challenges Business Overview And Forecast Research Study 2026
Post author
By Nihil
Post date
October 29, 2020
“
Overview for “”Artificial Intelligence-Emotion Recognition Market”” Helps in providing scope and definitions, Key Findings, Growth Drivers, and Various Dynamics.
The Artificial Intelligence-Emotion Recognition market has witnessed growth from USD XX million to USD XX million from 2014 to 2019. With the CAGR of X.X%, this market is estimated to reach USD XX million in 2026.
The report mainly studies the size, recent trends and development status of the Artificial Intelligence-Emotion Recognition market, as well as investment opportunities, government policy, market dynamics (drivers, restraints, opportunities), supply chain and competitive landscape. Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Porter’s Five Forces Analysis (potential entrants, suppliers, substitutes, buyers, industry competitors) provides crucial information for knowing the Artificial Intelligence-Emotion Recognition market.
Download PDF Sample of Artificial Intelligence-Emotion Recognition Market report @ https://www.arcognizance.com/enquiry-sample/1043814
Major Players in the global Artificial Intelligence-Emotion Recognition market include:, IFlytek, Nviso, Microsoft, Softbank, Apple, Affectiva, Kairos AR, INTRAface, Cloudwalk, CrowdEmotion, Beyond Verbal, IBM, Realeyes, Eyeris
On the basis of types, the Artificial Intelligence-Emotion Recognition market is primarily split into:, Facial Emotion Recognition, Speech Emotion Recognition, Others
On the basis of applications, the market covers:, Education, Medical Care, Wisdom Center, Others
Brief about Artificial Intelligence-Emotion Recognition Market Report with [email protected]https://www.arcognizance.com/report/global-artificial-intelligence-emotion-recognition-market-report-2019-competitive-landscape-trends-and-opportunities
Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2014-2026) of the following regions:, United States, Europe (Germany, UK, France, Italy, Spain, Russia, Poland), China, Japan, India , Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam), Central and South America (Brazil, Mexico, Colombia), Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria), Other Regions
Chapter 1 provides an overview of Artificial Intelligence-Emotion Recognition market, containing global revenue, global production, sales, and CAGR. The forecast and analysis of Artificial Intelligence-Emotion Recognition market by type, application, and region are also presented in this chapter.
Chapter 2 is about the market landscape and major players. It provides competitive situation and market concentration status along with the basic information of these players.
Chapter 3 provides a full-scale analysis of major players in Artificial Intelligence-Emotion Recognition industry. The basic information, as well as the profiles, applications and specifications of products market performance along with Business Overview are offered.
Chapter 4 gives a worldwide view of Artificial Intelligence-Emotion Recognition market. It includes production, market share revenue, price, and the growth rate by type.
Chapter 5 focuses on the application of Artificial Intelligence-Emotion Recognition, by analyzing the consumption and its growth rate of each application.
Chapter 6 is about production, consumption, export, and import of Artificial Intelligence-Emotion Recognition in each region.
Chapter 7 pays attention to the production, revenue, price and gross margin of Artificial Intelligence-Emotion Recognition in markets of different regions. The analysis on production, revenue, price and gross margin of the global market is covered in this part.
Chapter 8 concentrates on manufacturing analysis, including key raw material analysis, cost structure analysis and process analysis, making up a comprehensive analysis of manufacturing cost.
Chapter 9 introduces the industrial chain of Artificial Intelligence-Emotion Recognition. Industrial chain analysis, raw material sources and downstream buyers are analyzed in this chapter.
Chapter 10 provides clear insights into market dynamics.
Chapter 11 prospects the whole Artificial Intelligence-Emotion Recognition market, including the global production and revenue forecast, regional forecast. It also foresees the Artificial Intelligence-Emotion Recognition market by type and application.
Chapter 12 concludes the research findings and refines all the highlights of the study.
Chapter 13 introduces the research methodology and sources of research data for your understanding.
Years considered for this report:, Historical Years: 2014-2018, Base Year: 2019, Estimated Year: 2019, Forecast Period: 2019-2026,
Some Point of Table of Content:
Chapter One: Artificial Intelligence-Emotion Recognition Market Overview
Chapter Two: Global Artificial Intelligence-Emotion Recognition Market Landscape by Player
Chapter Three: Players Profiles
Chapter Four: Global Artificial Intelligence-Emotion Recognition Production, Revenue (Value), Price Trend by Type
Chapter Five: Global Artificial Intelligence-Emotion Recognition Market Analysis by Application
Chapter Six: Global Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import by Region (2014-2019)
Chapter Seven: Global Artificial Intelligence-Emotion Recognition Production, Revenue (Value) by Region (2014-2019)
Chapter Eight: Artificial Intelligence-Emotion Recognition Manufacturing Analysis
Chapter Nine: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter Ten: Market Dynamics
Chapter Eleven: Global Artificial Intelligence-Emotion Recognition Market Forecast (2019-2026)
Chapter Twelve: Research Findings and Conclusion
Chapter Thirteen: Appendix continued…
List of tablesList of Tables and Figures Figure Artificial Intelligence-Emotion Recognition Product PictureTable Global Artificial Intelligence-Emotion Recognition Production and CAGR (%) Comparison by TypeTable Profile of Facial Emotion RecognitionTable Profile of Speech Emotion RecognitionTable Profile of OthersTable Artificial Intelligence-Emotion Recognition Consumption (Sales) Comparison by Application (2014-2026)Table Profile of EducationTable Profile of Medical CareTable Profile of Wisdom CenterTable Profile of OthersFigure Global Artificial Intelligence-Emotion Recognition Market Size (Value) and CAGR (%) (2014-2026)Figure United States Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Europe Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Germany Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure UK Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure France Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Italy Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Spain Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Russia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Poland Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure China Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Japan Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure India Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Southeast Asia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Malaysia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Singapore Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Philippines Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Indonesia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Thailand Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Vietnam Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Central and South America Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Brazil Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Mexico Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Colombia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Middle East and Africa Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Saudi Arabia Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure United Arab Emirates Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Turkey Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Egypt Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure South Africa Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Nigeria Artificial Intelligence-Emotion Recognition Revenue and Growth Rate (2014-2026)Figure Global Artificial Intelligence-Emotion Recognition Production Status and Outlook (2014-2026)Table Global Artificial Intelligence-Emotion Recognition Production by Player (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Production Share by Player (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Production Share by Player in 2018Table Artificial Intelligence-Emotion Recognition Revenue by Player (2014-2019)Table Artificial Intelligence-Emotion Recognition Revenue Market Share by Player (2014-2019)Table Artificial Intelligence-Emotion Recognition Price by Player (2014-2019)Table Artificial Intelligence-Emotion Recognition Manufacturing Base Distribution and Sales Area by PlayerTable Artificial Intelligence-Emotion Recognition Product Type by PlayerTable Mergers & Acquisitions, Expansion PlansTable IFlytek ProfileTable IFlytek Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Nviso ProfileTable Nviso Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Microsoft ProfileTable Microsoft Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Softbank ProfileTable Softbank Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Apple ProfileTable Apple Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Affectiva ProfileTable Affectiva Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Kairos AR ProfileTable Kairos AR Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table INTRAface ProfileTable INTRAface Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Cloudwalk ProfileTable Cloudwalk Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table CrowdEmotion ProfileTable CrowdEmotion Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Beyond Verbal ProfileTable Beyond Verbal Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table IBM ProfileTable IBM Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Realeyes ProfileTable Realeyes Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Eyeris ProfileTable Eyeris Artificial Intelligence-Emotion Recognition Production, Revenue, Price and Gross Margin (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Production by Type (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Production Market Share by Type (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Production Market Share by Type in 2018Table Global Artificial Intelligence-Emotion Recognition Revenue by Type (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Revenue Market Share by Type (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Revenue Market Share by Type in 2018Table Artificial Intelligence-Emotion Recognition Price by Type (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Production Growth Rate of Facial Emotion Recognition (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Production Growth Rate of Speech Emotion Recognition (2014-2019)Figure Global Artificial Intelligence-Emotion Recognition Production Growth Rate of Others (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption by Application (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption Market Share by Application (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption of Education (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption of Medical Care (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption of Wisdom Center (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption of Others (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption by Region (2014-2019)Table Global Artificial Intelligence-Emotion Recognition Consumption Market Share by Region (2014-2019)Table United States Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table Europe Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table China Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table Japan Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table India Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table Southeast Asia Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)Table Central and South America Artificial Intelligence-Emotion Recognition Production, Consumption, Export, Import (2014-2019)continued…
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| Impact Of Covid 19 On Artificial Intelligence-Emotion Recognition Industry 2020 Market Challenges Business Overview And Forecast Research Study 2026 | Impact Of Covid 19 On Artificial IntelligenceEmotion Recognition Industry 2020 Market Challenges Business Overview And Forecast Research Study 2026 The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories News Impact Of Covid 19 On Artificial IntelligenceEmotion Recognition Industry 2020 Market Challenges Business Overview And Forecast Research Study 2026 Post author By Nihil Post date October 29, 2020 Overview Artificial IntelligenceEmotion Recognition Market Helps providing scope definitions, Key Findings, Growth Drivers, Various Dynamics. The Artificial IntelligenceEmotion Recognition market witnessed growth USD XX million USD XX million 2014 2019. With CAGR X.X, market estimated reach USD XX million 2026. The report mainly studies size, recent trends development status Artificial IntelligenceEmotion Recognition market, investment opportunities, government policy, market dynamics drivers, restraints, opportunities, supply chain competitive landscape. Technological innovation advancement optimize performance product, making widely downstream applications. Moreover, Porters Five Forces Analysis potential entrants, suppliers, substitutes, buyers, industry competitors provides crucial information knowing Artificial IntelligenceEmotion Recognition market. Download PDF Sample Artificial IntelligenceEmotion Recognition Market report @ Major Players global Artificial IntelligenceEmotion Recognition market include:, IFlytek, Nviso, Microsoft, Softbank, Apple, Affectiva, Kairos AR, INTRAface, Cloudwalk, CrowdEmotion, Beyond Verbal, IBM, Realeyes, Eyeris On basis types, Artificial IntelligenceEmotion Recognition market primarily split into:, Facial Emotion Recognition, Speech Emotion Recognition, Others On basis applications, market covers:, Education, Medical Care, Wisdom Center, Others Brief Artificial IntelligenceEmotion Recognition Market Report [emailprotected] Geographically, report includes research production, consumption, revenue, market share growth rate, forecast 20142026 following regions:, United States, Europe Germany, UK, France, Italy, Spain, Russia, Poland, China, Japan, India , Southeast Asia Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam, Central South America Brazil, Mexico, Colombia, Middle East Africa Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria, Other Regions Chapter 1 provides overview Artificial IntelligenceEmotion Recognition market, containing global revenue, global production, sales, CAGR. The forecast analysis Artificial IntelligenceEmotion Recognition market type, application, region presented chapter. Chapter 2 market landscape major players. It provides competitive situation market concentration status basic information players. Chapter 3 provides fullscale analysis major players Artificial IntelligenceEmotion Recognition industry. The basic information, profiles, applications specifications products market performance Business Overview offered. Chapter 4 gives worldwide view Artificial IntelligenceEmotion Recognition market. It includes production, market share revenue, price, growth rate type. Chapter 5 focuses application Artificial IntelligenceEmotion Recognition, analyzing consumption growth rate application. Chapter 6 production, consumption, export, import Artificial IntelligenceEmotion Recognition region. Chapter 7 pays attention production, revenue, price gross margin Artificial IntelligenceEmotion Recognition markets different regions. The analysis production, revenue, price gross margin global market covered part. Chapter 8 concentrates manufacturing analysis, including key raw material analysis, cost structure analysis process analysis, making comprehensive analysis manufacturing cost. Chapter 9 introduces industrial chain Artificial IntelligenceEmotion Recognition. Industrial chain analysis, raw material sources downstream buyers analyzed chapter. Chapter 10 provides clear insights market dynamics. Chapter 11 prospects Artificial IntelligenceEmotion Recognition market, including global production revenue forecast, regional forecast. It foresees Artificial IntelligenceEmotion Recognition market type application. Chapter 12 concludes research findings refines highlights study. Chapter 13 introduces research methodology sources research data understanding. Years considered report:, Historical Years: 20142018, Base Year: 2019, Estimated Year: 2019, Forecast Period: 20192026, Some Point Table Content: Chapter One: Artificial IntelligenceEmotion Recognition Market Overview Chapter Two: Global Artificial IntelligenceEmotion Recognition Market Landscape Player Chapter Three: Players Profiles Chapter Four: Global Artificial IntelligenceEmotion Recognition Production, Revenue Value, Price Trend Type Chapter Five: Global Artificial IntelligenceEmotion Recognition Market Analysis Application Chapter Six: Global Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import Region 20142019 Chapter Seven: Global Artificial IntelligenceEmotion Recognition Production, Revenue Value Region 20142019 Chapter Eight: Artificial IntelligenceEmotion Recognition Manufacturing Analysis Chapter Nine: Industrial Chain, Sourcing Strategy Downstream Buyers Chapter Ten: Market Dynamics Chapter Eleven: Global Artificial IntelligenceEmotion Recognition Market Forecast 20192026 Chapter Twelve: Research Findings Conclusion Chapter Thirteen: Appendix continued List tablesList Tables Figures Figure Artificial IntelligenceEmotion Recognition Product PictureTable Global Artificial IntelligenceEmotion Recognition Production CAGR Comparison TypeTable Profile Facial Emotion RecognitionTable Profile Speech Emotion RecognitionTable Profile OthersTable Artificial IntelligenceEmotion Recognition Consumption Sales Comparison Application 20142026Table Profile EducationTable Profile Medical CareTable Profile Wisdom CenterTable Profile OthersFigure Global Artificial IntelligenceEmotion Recognition Market Size Value CAGR 20142026Figure United States Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Europe Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Germany Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure UK Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure France Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Italy Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Spain Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Russia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Poland Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure China Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Japan Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure India Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Southeast Asia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Malaysia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Singapore Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Philippines Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Indonesia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Thailand Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Vietnam Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Central South America Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Brazil Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Mexico Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Colombia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Middle East Africa Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Saudi Arabia Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure United Arab Emirates Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Turkey Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Egypt Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure South Africa Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Nigeria Artificial IntelligenceEmotion Recognition Revenue Growth Rate 20142026Figure Global Artificial IntelligenceEmotion Recognition Production Status Outlook 20142026Table Global Artificial IntelligenceEmotion Recognition Production Player 20142019Table Global Artificial IntelligenceEmotion Recognition Production Share Player 20142019Figure Global Artificial IntelligenceEmotion Recognition Production Share Player 2018Table Artificial IntelligenceEmotion Recognition Revenue Player 20142019Table Artificial IntelligenceEmotion Recognition Revenue Market Share Player 20142019Table Artificial IntelligenceEmotion Recognition Price Player 20142019Table Artificial IntelligenceEmotion Recognition Manufacturing Base Distribution Sales Area PlayerTable Artificial IntelligenceEmotion Recognition Product Type PlayerTable Mergers Acquisitions, Expansion PlansTable IFlytek ProfileTable IFlytek Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Nviso ProfileTable Nviso Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Microsoft ProfileTable Microsoft Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Softbank ProfileTable Softbank Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Apple ProfileTable Apple Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Affectiva ProfileTable Affectiva Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Kairos AR ProfileTable Kairos AR Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table INTRAface ProfileTable INTRAface Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Cloudwalk ProfileTable Cloudwalk Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table CrowdEmotion ProfileTable CrowdEmotion Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Beyond Verbal ProfileTable Beyond Verbal Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table IBM ProfileTable IBM Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Realeyes ProfileTable Realeyes Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Eyeris ProfileTable Eyeris Artificial IntelligenceEmotion Recognition Production, Revenue, Price Gross Margin 20142019Table Global Artificial IntelligenceEmotion Recognition Production Type 20142019Table Global Artificial IntelligenceEmotion Recognition Production Market Share Type 20142019Figure Global Artificial IntelligenceEmotion Recognition Production Market Share Type 2018Table Global Artificial IntelligenceEmotion Recognition Revenue Type 20142019Table Global Artificial IntelligenceEmotion Recognition Revenue Market Share Type 20142019Figure Global Artificial IntelligenceEmotion Recognition Revenue Market Share Type 2018Table Artificial IntelligenceEmotion Recognition Price Type 20142019Figure Global Artificial IntelligenceEmotion Recognition Production Growth Rate Facial Emotion Recognition 20142019Figure Global Artificial IntelligenceEmotion Recognition Production Growth Rate Speech Emotion Recognition 20142019Figure Global Artificial IntelligenceEmotion Recognition Production Growth Rate Others 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Application 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Market Share Application 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Education 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Medical Care 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Wisdom Center 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Others 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Region 20142019Table Global Artificial IntelligenceEmotion Recognition Consumption Market Share Region 20142019Table United States Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table Europe Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table China Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table Japan Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table India Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table Southeast Asia Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019Table Central South America Artificial IntelligenceEmotion Recognition Production, Consumption, Export, Import 20142019continued If special requirements, let know offer report want. :Analytical Research Cognizance ARCis trusted hub research reports critically renders accurate statistical data business growth. Our extensive database examined market reports places best industry report firms. Our professionally equipped team strengthens ARCs potential.ARC works mission creating platform marketers access informative, latest researched reports. To achieve aim experts tactically scrutinize report comes eye. Us:Ranjeet DengaleDirector SalesAnalytical Research Cognizance1 646 4034695, 91 90967 44448Email: [emailprotected] NOTE: Our report account impact coronavirus pandemic dedicates qualitative quantitative sections information report emphasizes impact COVID19. As pandemic ongoing leading dynamic shifts stocks businesses worldwide, account current condition forecast market data taking consideration micro macroeconomic factors affected pandemic. 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Philips Intouch Technologies Biotelemetry Shimmer Cardiocom Shl Telemedicine Ltd. Allscripts Healthcare Solutions Lifewatch Semiconductor Car Refrigerator Market Growth 20202025 Rise Demand, Opportunities, Types, Future Analysis Organic Substrate Market Forecast Analyzed New Research Report 2017 2026 Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Energy Finance News Space Uncategorized Meta Log Entries feed Comments feed 2020 The Think Curiouser Powered WordPress To Up | 2,020 | [
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https://www.newindianexpress.com/cities/hyderabad/2020/jul/28/artificial-intelligence-lab-launched-at-gmrit-2175631.html | 2020-07-28T00:00:00 | en | Artificial Intelligence lab launched at GMRIT- The New Indian Express |
Artificial Intelligence lab launched at GMRIT- The New Indian Express
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Artificial Intelligence lab launched at GMRIT
An Artificial Intelligence laboratory was inaugurated at the GMR Institute of Technology (GMRIT) at Rajam in Srikakulam on Monday.
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Published: 28th July 2020 07:53 AM |
Last Updated: 28th July 2020 07:53 AM
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By Express News Service
HYDERABAD: An Artificial Intelligence laboratory was inaugurated at the GMR Institute of Technology (GMRIT) at Rajam in Srikakulam on Monday. The facility has been set up to provide training and certification on AI application development to its students and faculty through a new curriculum.
GBS Raju, business chairman of GMR Airports, said, “GMRIT has taken a significant step in establishing an exclusive laboratory to introduce its students to AI learning courses. AI has its footprints and application in all sectors. It is a moment of pride as we launch such an innovative, training-based learning approach for students and teachers.
The objective of this initiative is to help address challenges by designing one of the most accessible and comprehensive gateways for students to begin their AI journey. The goal is to introduce students to the foundational skills of AI to make them not just consumers of AI, but creators as well.” The laboratory is equipped to offer specialised training in AI and related technologies.
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| Artificial Intelligence lab launched at GMRIT- The New Indian Express | Artificial Intelligence lab launched GMRIT The New Indian Express ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT Coronavirus Nation World States Tamil Nadu Kerala Karnataka Andhra Pradesh Telangana Odisha Cities Chennai Delhi Bengaluru Hyderabad Kochi Thiruvananthapuram Business Sport Cricket Football Tennis Other Womens T20 WC World Cup Entertainment English Hindi Kannada Malayalam Tamil Telugu Review Galleries Nation World Sport Entertainment Other Videos Nation World Sport Entertainment Other Lifestyle Tech Health Travel Food Books Spirituality Specials Good News Opinions Editorials explainers Columns Prabhu Chawla T J S George S Gurumurthy Ravi Shankar Shankkar Aiyar Shampa DharKamath Karamatullah K Ghori Magazine The Sunday Standard Edex Indulge Todays paper Epaper Tuesday, July, 28, 2020 Toggle navigation Epaper Nation World States Cities Business Sport Good News WomensT20 World Cup ICC World Cup Movies Galleries Videos SUBSCRIBE TO EPAPER STOCK MARKET BSE NSE Home Cities Hyderabad Artificial Intelligence lab launched GMRIT An Artificial Intelligence laboratory inaugurated GMR Institute Technology GMRIT Rajam Srikakulam Monday. Share Via Email Published: 28th July 2020 07:53 AM Last Updated: 28th July 2020 07:53 AM AAA By Express News Service HYDERABAD:An Artificial Intelligence laboratory inaugurated GMR Institute Technology GMRIT Rajam Srikakulam Monday. The facility set provide training certification AI application development students faculty new curriculum. GBS Raju, business chairman GMR Airports, said, GMRIT taken significant step establishing exclusive laboratory introduce students AI learning courses. AI footprints application sectors. It moment pride launch innovative, trainingbased learning approach students teachers. The objective initiative help address challenges designing accessible comprehensive gateways students begin AI journey. The goal introduce students foundational skills AI consumers AI, creators well.The laboratory equipped offer specialised training AI related technologies. Stay date latest Hyderabad news The New Indian Express App. Download TAGS AI AI laboratory artificial intelligence GMRIT O P E N ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT India Matters COVID19 impact: Economic crisis looms large Kerala, warns NDMA COVID19: First motherchild vertical transmission case Pune 5 lakh tests day, overdependence antigen tests leading missing cases Pet cat tests positive Covid19 Britain Comments Disclaimer : We respect thoughts views But need judicious moderating comments. All comments moderated editorial. Abstain posting comments obscene, defamatory inflammatory, indulge personal attacks. Try avoid outside hyperlinks inside comment. Help delete comments follow guidelines. The views expressed comments published comment writers alone. They represent views opinions staff, represent views opinions The New Indian Express Group, entity of, affiliated with, The New Indian Express Group. reserves right comments time. ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT ADVERTISEMENT Latest WATCH Dulquer releases 30second Kurup teaser birthday; sneak peek looks promising Saradha scamaccused Kunal Ghosh, actorMP Nusrat figure list Trinamoolspokespersons COVID19 cases shoot past 1.1 lakh Andhra 7,948 new cases, 58 die Covid19: Mizo MP writes Shah, seeks curbs troops movement avoid infection NIA arrests Delhi University professorin Bhima Koregaon case IOA forms 11member CGA India 202021 season ADVERTISEMENT ADVERTISEMENT Videos Remembering Peoples President Kalam: The man Technology Vision 2020 COVID19: Indians, immigrants fear loss business NYCs Jackson Heights ADVERTISEMENT Gallery If PUBG banned,try 7 similar battle royal games Play Store 10 best Game Thrones episodes bingewatch lockdown Trending ADVERTISEMENT FOLLOW US 2020 The Morning Standard Dinamani Kannada Prabha Samakalika Malayalam Indulgexpress Edex Live Cinema Express Event Xpress Us Careers Terms Use Advertise With Us Home Nation World Cities Business Columns Entertainment Sport Magazine The Sunday Standard flipboard facebook twitter whatsapp Next | 2,020 | [
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] | 1 | NEGATIVE | 662 |
https://dailyscience.me/2020/07/23/machine-learning-market-share-application-analysis-regional-outlook-competitive-strategies-forecast-up-to-2026/ | 2020-07-23T00:00:00 | en | Machine Learning Market, Share, Application Analysis, Regional Outlook, Competitive Strategies & Forecast up to 2026 – Science Market Reports |
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Machine Learning Market, Share, Application Analysis, Regional Outlook, Competitive Strategies & Forecast up to 2026
July 23, 2020
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Market Study Report, LLC, has added a detailed study on the Machine Learning market which provides a brief summary of the growth trends influencing the market. The report also includes significant insights pertaining to the profitability graph, market share, regional proliferation and SWOT analysis of this business vertical. The report further illustrates the status of key players in the competitive setting of the Machine Learning market, while expanding on their corporate strategies and product offerings.
The research report on Machine Learning market provides a detailed study of this industry vertical with a focus on the projected remuneration during the forecast period, along with a comprehensive review of the various segmentations. In addition, the market analysts authoring this report have provided in-depth information on the impact of the COVID-19 pandemic on the market size.
Request a sample Report of Machine Learning Market at: https://www.marketstudyreport.com/request-a-sample/2521086?utm_source=marketresearchposts.com&utm_medium=AG
Besides this, the experts have deeply summarized the market scenario with respect the current position and industry size based on the revenue and volume. It thoroughly explains each and every aspect related to drivers, restraints, and opportunities influencing the business landscape. Furthermore, a succinct overview of the regional terrain as well as the prevailing organizations in the Machine Learning market are covered in the report.
Addressing the main pointers from Machine Learning market report:
A gist of the regional landscape of the Machine Learning market:
The report categorizes the Machine Learning market into geographies as North America, Europe, Asia-Pacific, Middle East & Africa and South America.
The study includes details pertaining to the market share held by the various geographies and predicts that growth patterns over the estimated timeframe.
Data encompassing the growth opportunities and business potential across different nations is provided.
Other inferences which will influence the revenue share of the Machine Learning market:
The study inspects the product terrain of the Machine Learning market to deduce the production growth trends and profit valuation. As per the report, the market is categorized into
Cloud
On-Premises
.
Moreover, the market is also analyzed from the perspective of the application spectrum that is segmented into
Large Enterprises
SMEs
.
Forecasts regarding the product demand from each application, market share, and growth rate of all application segments during the analysis period has been included.
A sophisticated description of the distribution channel including the producers, distributers, and downstream buyers is embodied in the report.
Ask for Discount on Machine Learning Market Report at: https://www.marketstudyreport.com/check-for-discount/2521086?utm_source=marketresearchposts.com&utm_medium=AG
Elucidating the competitive aspect of the Machine Learning market:
The document thoroughly analyzes the competitive outlook of the business space by profiling the prominent companies, namely,
IBM
Microsoft Corporation
SAP SE
Intel Corporation
SAS Institute Inc.
Amazon Web Services
Inc.
Bigml
Inc.
Google Inc.
Fair Isaac Corporation
Baidu
Inc.
H2o.AI
Hewlett Packard Enterprise Development LP
.
The report offers detailed information concerning the manufacturing facilities of the companies, alongside their market share and regions served.
Product portfolio of the major competitors along with the product specifications and application scope are cited in the study.
Insights about pricing models followed by each company as well as the profit margins accrued are delivered as well.
Influence of the Machine Learning Market report:
Comprehensive assessment of all opportunities and risk in the Machine Learning Market.
Machine Learning Market recent innovations and major events.
Detailed study of business strategies for growth of the Machine Learning Market-leading players.
Conclusive study about the growth plot of Machine Learning Market for forthcoming years.
In-depth understanding of Machine Learning Market-particular drivers, constraints and major micro markets.
Favourable impression inside vital technological and market latest trends striking the Machine Learning Market.
The main questions answered in the report:
What are the main factors driving this market to the next level?
What would be the growth rate or CAGR of the Global Machine Learning Market during 2020-2026?
What are the latest opportunities for the Machine Learning market in the future?
What is the key to the Food Safety Testing market?
Who are the key competitors or players operating in the Global Machine Learning Market?
For More Details On this Report: https://www.marketstudyreport.com/reports/global-machine-learning-market-size-status-and-forecast-2020-2026
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| Machine Learning Market, Share, Application Analysis, Regional Outlook, Competitive Strategies & Forecast up to 2026 | Machine Learning Market, Share, Application Analysis, Regional Outlook, Competitive Strategies Forecast 2026 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 Machine Learning Market, Share, Application Analysis, Regional Outlook, Competitive Strategies Forecast 2026 July 23, 2020 No Comments Market Study Report, LLC, added detailed study Machine Learning market provides brief summary growth trends influencing market. The report includes significant insights pertaining profitability graph, market share, regional proliferation SWOT analysis business vertical. The report illustrates status key players competitive setting Machine Learning market, expanding corporate strategies product offerings. The research report Machine Learning market provides detailed study industry vertical focus projected remuneration forecast period, comprehensive review segmentations. In addition, market analysts authoring report provided indepth information impact COVID19 pandemic market size. Request sample Report Machine Learning Market at: Besides this, experts deeply summarized market scenario respect current position industry size based revenue volume. It thoroughly explains aspect related drivers, restraints, opportunities influencing business landscape. Furthermore, succinct overview regional terrain prevailing organizations Machine Learning market covered report. Addressing main pointers Machine Learning market report: A gist regional landscape Machine Learning market: The report categorizes Machine Learning market geographies North America, Europe, AsiaPacific, Middle East Africa South America. The study includes details pertaining market share held geographies predicts growth patterns estimated timeframe. Data encompassing growth opportunities business potential different nations provided. Other inferences influence revenue share Machine Learning market: The study inspects product terrain Machine Learning market deduce production growth trends profit valuation. As report, market categorized Cloud OnPremises . Moreover, market analyzed perspective application spectrum segmented Large Enterprises SMEs . Forecasts product demand application, market share, growth rate application segments analysis period included. A sophisticated description distribution channel including producers, distributers, downstream buyers embodied report. Ask Discount Machine Learning Market Report at: Elucidating competitive aspect Machine Learning market: The document thoroughly analyzes competitive outlook business space profiling prominent companies, namely, IBM Microsoft Corporation SAP SE Intel Corporation SAS Institute . Amazon Web Services . Bigml . Google . Fair Isaac Corporation Baidu . H2o.AI Hewlett Packard Enterprise Development LP . The report offers detailed information concerning manufacturing facilities companies, alongside market share regions served. Product portfolio major competitors product specifications application scope cited study. Insights pricing models followed company profit margins accrued delivered well. Influence Machine Learning Market report: Comprehensive assessment opportunities risk Machine Learning Market. Machine Learning Market recent innovations major events. Detailed study business strategies growth Machine Learning Marketleading players. Conclusive study growth plot Machine Learning Market forthcoming years. Indepth understanding Machine Learning Marketparticular drivers, constraints major micro markets. Favourable impression inside vital technological market latest trends striking Machine Learning Market. The main questions answered report: What main factors driving market level? What growth rate CAGR Global Machine Learning Market 20202026? What latest opportunities Machine Learning market future? What key Food Safety Testing market? Who key competitors players operating Global Machine Learning Market? For More Details On Report: Related Reports: 1. Global Spas Beauty Salons Market Size, Status Forecast 20202026Read More: 2. 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https://www.financialgazette.co.zw/alibaba-claims-theyve-developed-a-96-accurate-ai-that-detects-corona-in-seconds/ | 2020-03-04T00:00:00 | en | Alibaba Claims They’ve Developed A 96% Accurate AI That Detects Corona In Seconds - The Financial Gazette |
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Home Tech Alibaba Claims They’ve Developed A 96% Accurate AI That Detects Corona In Seconds
Tech
March 4, 2020
Alibaba Claims They’ve Developed A 96% Accurate AI That Detects Corona In Seconds
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China’s tech giant Alibaba is claiming they’ve developed an Artificial Intelligence system that can diagnose the Coronavirus within seconds with 96% accuracy.
The AI system allegedly detects the virus in CT scans of patients’ chests, only taking 20 seconds to be able to tell whether or not a patient is positive for the virus. Usually, the process takes anything between 5 and 15 minutes for doctors to diagnose patients so this system is expected to alleviate pressure at hospitals.
Researchers at the academy said they had trained the AI model with sample data from more than 5,000 confirmed cases, adding that the system could identify differences in CT scans between patients infected with the novel virus and those with ordinary viral pneumonia with an accuracy of up to 96%.
Nikkei Asian Review
The system was reportedly trained on images and data from 5000 confirmed coronavirus cases and has been tested in Chinese hospitals, with at least 100 healthcare facilities currently using the artificial intelligence system.
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| Alibaba Claims They’ve Developed A 96% Accurate AI That Detects Corona In Seconds | Alibaba Claims Theyve Developed A 96 Accurate AI That Detects Corona In Seconds The Financial Gazette Close Sidebar Home Top Stories Companies Markets National Report World Tech Sport Lifestyle Opinion Epaper Home Top Stories Zimplats increases mining output March 3, 2020 Competition Tariff Commission approves mergers March 2, 2020 Zims annual inflation 473 percent March 1, 2020 Retailers demand US dollar pricing February 29, 2020 Companies Markets ZSE launches training institute March 3, 2020 CZI companies census March 2, 2020 Irvines pleads retain 100 percent March 1, 2020 Natfoods importing US12m grain monthly February 29, 2020 National Report Zimbabwe mines award workers wage increase March 3, 2020 Devolution key yo development mining towns March 2, 2020 Total merchandise trade declines 14 percent March 1, 2020 Strengthening informal sector, lowering government employees February 29, 2020 World Oil slides gold heads 1 700 virus February 27, 2020 Rwandas finance minister seeks boost spending 4,8pc February 27, 2020 Shoprite misses halfyear forecast February 27, 2020 Absa sees future Kenyan banking app February 27, 2020 Tech Alibaba Claims Theyve Developed A 96 Accurate AI That Detects March 4, 2020 Twitter Turns To Remote Work To Prevent Spread Of Coronavirus March 4, 2020 Bank Foreign Currency Exchange Rates Today 3 March 2020 March 4, 2020 Mahindra Comviva Lets Go Of Its Payments Interoperability Startup March 4, 2020 Sport Anthony Joshua fight Kubrat Pulev Tottenham Hotspur Stadium March 3, 2020 Daniel Sturridge devastated fourmonth ban breaching betting rules March 3, 2020 Top 10 scorers El Clasico history March 3, 2020 Liton Das, bowlers help Bangladesh beat Zimbabwe 169 runs March 2, 2020 Lifestyle Judge Judy end 2021 25 years March 3, 2020 Toni Braxton shares secret aging reverse March 2, 2020 Learning difficulties link brain connections March 1, 2020 Trumps doctor hid vegetables food help February 29, 2020 Opinion Bonding culture key organisational productivity March 3, 2020 LEGAL MATTERS: Collection commission: What need know March 2, 2020 Farmers increase production March 1, 2020 ECONOMICS MARKET INTELLIGENCE: What February 29, 2020 Epaper ... Wednesday, 4 March 2020 Home Top Stories Zimplats increases mining output March 3, 2020 Competition Tariff Commission approves mergers March 2, 2020 Zims annual inflation 473 percent March 1, 2020 Retailers demand US dollar pricing February 29, 2020 Companies Markets ZSE launches training institute March 3, 2020 CZI companies census March 2, 2020 Irvines pleads retain 100 percent March 1, 2020 Natfoods importing US12m grain monthly February 29, 2020 National Report Zimbabwe mines award workers wage increase March 3, 2020 Devolution key yo development mining towns March 2, 2020 Total merchandise trade declines 14 percent March 1, 2020 Strengthening informal sector, lowering government employees February 29, 2020 World Oil slides gold heads 1 700 virus February 27, 2020 Rwandas finance minister seeks boost spending 4,8pc February 27, 2020 Shoprite misses halfyear forecast February 27, 2020 Absa sees future Kenyan banking app February 27, 2020 Tech Alibaba Claims Theyve Developed A 96 Accurate AI That Detects March 4, 2020 Twitter Turns To Remote Work To Prevent Spread Of Coronavirus March 4, 2020 Bank Foreign Currency Exchange Rates Today 3 March 2020 March 4, 2020 Mahindra Comviva Lets Go Of Its Payments Interoperability Startup March 4, 2020 Sport Anthony Joshua fight Kubrat Pulev Tottenham Hotspur Stadium March 3, 2020 Daniel Sturridge devastated fourmonth ban breaching betting rules March 3, 2020 Top 10 scorers El Clasico history March 3, 2020 Liton Das, bowlers help Bangladesh beat Zimbabwe 169 runs March 2, 2020 Lifestyle Judge Judy end 2021 25 years March 3, 2020 Toni Braxton shares secret aging reverse March 2, 2020 Learning difficulties link brain connections March 1, 2020 Trumps doctor hid vegetables food help February 29, 2020 Opinion Bonding culture key organisational productivity March 3, 2020 LEGAL MATTERS: Collection commission: What need know March 2, 2020 Farmers increase production March 1, 2020 ECONOMICS MARKET INTELLIGENCE: What February 29, 2020 Epaper Business Live Input search keywords press Enter. Username Email Address Password Remember Me Home Tech Alibaba Claims Theyve Developed A 96 Accurate AI That Detects Corona In Seconds Tech March 4, 2020 Alibaba Claims Theyve Developed A 96 Accurate AI That Detects Corona In Seconds 0 COMMENT Print EMail Own Correspondent Chinas tech giant Alibaba claiming theyve developed Artificial Intelligence diagnose Coronavirus seconds 96 accuracy. The AI allegedly detects virus CT scans patients chests, taking 20 seconds able tell patient positive virus. Usually, process takes 5 15 minutes doctors diagnose patients expected alleviate pressure hospitals. Researchers academy said trained AI model sample data 5,000 confirmed cases, adding identify differences CT scans patients infected novel virus ordinary viral pneumonia accuracy 96. Nikkei Asian Review The reportedly trained images data 5000 confirmed coronavirus cases tested Chinese hospitals, 100 healthcare facilities currently artificial intelligence system. Quick NetOne, Telecel, Africom, And Econet Airtime Recharge Number recharge: Airtime amount: EcoCash number: If goes wrong, click enter query. The post Alibaba Claims Theyve Developed A 96 Accurate AI That Detects Corona In Seconds appeared Techzim. Previous post Twitter Turns To Remote Work To Prevent Spread Of Coronavirus Columnists CZ FOUNDING FATHERS MEMOIRS: There name, Cdes Ken Mufuka LETTER FROM AMERICA: Dabengwas story dream betrayed Memory Nguwi HR PERSPECTIVE: Board performance evaluation MORE FROM FINGAZSupplements Magazines Us Advertise Techzim FeedAlibaba Claims Theyve Developed A 96 Accurate AI That Detects Corona In Seconds March 3, 2020Twitter Turns To Remote Work To Prevent Spread Of Coronavirus March 3, 2020Bank Foreign Currency Exchange Rates Today 3 March 2020 March 3, 2020Mahindra Comviva Lets Go Of Its Payments Interoperability Startup March 3, 2020Facebook Messenger For iPhones Uses Less Storage But Is Now Twice As Fast March 3, 2020 2018 ALL RIGHTS RESERVED THE FINANCIAL GAZETTE Website Calmlock Digital Marketing | 2,020 | [
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https://www.newstimes.com/business/article/Google-backs-off-on-AI-for-oil-and-gas-extraction-15280615.php | 2020-05-19T00:00:00 | en | Google backs off on AI for oil and gas extraction - NewsTimes |
Google backs off on AI for oil and gas extraction - NewsTimes
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https://www.newstimes.com/business/article/Google-backs-off-on-AI-for-oil-and-gas-extraction-15280615.php
Google backs off on AI for oil and gas extraction
Matt O'brien, Ap Technology Writer
Updated
11:28 am EDT, Tuesday, May 19, 2020
FILE In this April 21, 2020 file photo, a pumpjack is pictured as the sun sets in Oklahoma City. Google says it won’t build custom artificial intelligence tools for speeding up oil and gas extraction, taking an environmental stance that distinguishes it from cloud computing rivals Microsoft and Amazon. The announcement followed a Greenpeace report on Tuesday, May 19, that documents how the three tech giants are using AI and computing power to help oil companies find and access oil and gas deposits in the U.S. and around the world. less
FILE In this April 21, 2020 file photo, a pumpjack is pictured as the sun sets in Oklahoma City. Google says it won’t build custom artificial intelligence tools for speeding up oil and gas extraction, taking ... more
Photo: Sue Ogrocki, AP
Photo: Sue Ogrocki, AP
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FILE In this April 21, 2020 file photo, a pumpjack is pictured as the sun sets in Oklahoma City. Google says it won’t build custom artificial intelligence tools for speeding up oil and gas extraction, taking an environmental stance that distinguishes it from cloud computing rivals Microsoft and Amazon. The announcement followed a Greenpeace report on Tuesday, May 19, that documents how the three tech giants are using AI and computing power to help oil companies find and access oil and gas deposits in the U.S. and around the world. less
FILE In this April 21, 2020 file photo, a pumpjack is pictured as the sun sets in Oklahoma City. Google says it won’t build custom artificial intelligence tools for speeding up oil and gas extraction, taking ... more
Photo: Sue Ogrocki, AP
Google backs off on AI for oil and gas extraction
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Google says it will no longer build custom artificial intelligence tools for speeding up oil and gas extraction, separating itself from cloud computing rivals Microsoft and Amazon.
The announcement followed a Greenpeace report Tuesday that documents how the three tech giants are using AI and computing power to help oil companies find and access oil and gas deposits in the U.S. and around the world.
The environmentalist group says Amazon, Microsoft and Google have been undermining their own climate change pledges by partnering with major oil companies including Shell, BP, Chevron and ExxonMobil that have looked for new technology to get more oil and gas out of the ground.
But the group applauded Google on Tuesday for taking a step away from those deals.
“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.
Google said it will honor all existing contracts with its customers, but didn't specify what companies.
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Greenpeace's report says Microsoft appears to be leading the way with the most oil and contracts, “offering AI capabilities in all phases of oil production.” Amazon's contracts are more focused on pipelines, shipping and fuel storage, according to the report. Their tools have been deployed to speed up shale extraction, especially from the Permian Basin of Texas and New Mexico.
Some of the contracts have led to internal protests by employees who are pushing their companies to do more to combat climate change.
Amazon declined to comment on the Greenpeace report, but pointed to wording on its website that said "the energy industry should have access to the same technologies as other industries.” Microsoft did not immediately respond to a request for comment.
——
AP reporter Joseph Pisani contributed to this report.
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Google says wont build custom artificial intelligence tools speeding oil gas extraction, taking environmental stance distinguishes cloud computing rivals Microsoft Amazon. The announcement followed Greenpeace report Tuesday, May 19, documents tech giants AI computing power help oil companies access oil gas deposits U.S. world. FILE In April 21, 2020 file photo, pumpjack pictured sun sets Oklahoma City. Google says wont build custom artificial intelligence tools speeding oil gas extraction, taking ... Photo: Sue Ogrocki, AP Photo: Sue Ogrocki, AP Image 1 1 Caption Close Image 1 1 FILE In April 21, 2020 file photo, pumpjack pictured sun sets Oklahoma City. Google says wont build custom artificial intelligence tools speeding oil gas extraction, taking environmental stance distinguishes cloud computing rivals Microsoft Amazon. The announcement followed Greenpeace report Tuesday, May 19, documents tech giants AI computing power help oil companies access oil gas deposits U.S. world. FILE In April 21, 2020 file photo, pumpjack pictured sun sets Oklahoma City. Google says wont build custom artificial intelligence tools speeding oil gas extraction, taking ... Photo: Sue Ogrocki, AP Google backs AI oil gas extraction 1 1 Back Gallery Google says longer build custom artificial intelligence tools speeding oil gas extraction, separating cloud computing rivals Microsoft Amazon. The announcement followed Greenpeace report Tuesday documents tech giants AI computing power help oil companies access oil gas deposits U.S. world. The environmentalist group says Amazon, Microsoft Google undermining climate change pledges partnering major oil companies including Shell, BP, Chevron ExxonMobil looked new technology oil gas ground. But group applauded Google Tuesday taking step away deals. 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. Google said honor existing contracts customers, didnt specify companies. Nominate Your Workplace Love job? Show Top Workplaces Greenpeaces report says Microsoft appears leading way oil contracts, offering AI capabilities phases oil production. Amazons contracts focused pipelines, shipping fuel storage, according report. Their tools deployed speed shale extraction, especially Permian Basin Texas New Mexico. Some contracts led internal protests employees pushing companies combat climate change. Amazon declined comment Greenpeace report, pointed wording website said energy industry access technologies industries. Microsoft immediately respond request comment. AP reporter Joseph Pisani contributed report. View Comments 2020 Hearst Communications, . 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https://asia.nikkei.com/Spotlight/Asia-Insight/Huawei-plays-star-role-in-new-China-Russia-AI-partnership | 2020-02-04T00:00:00 | en | Huawei plays star role in new China-Russia AI partnership - Nikkei Asian Review |
Huawei plays star role in new China-Russia AI partnership -
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Asia Insight
Huawei plays star role in new China-Russia AI partnershipDistrust of US outweighs suspicion of each other -- for nowDIMITRI SIMES, Contributing writer
February 04, 2020 15:28 JST
MOSCOW -- As Huawei Technologies scrambled to cope with U.S. sanctions in 2019, the Chinese telecom equipment maker was feeling nothing but love from Russia.Huawei acquired Russian facial recognition technology. It launched a 5G test zone in Moscow. Russian President Vladimir Putin even spoke up for the company, saying the U.S. was trying to "brazenly force it out of the global market" by blacklisting it, as quoted by the government-funded RT.Indeed, mutual suspicion of the U.S. and shared concerns about being frozen out of advanced technology have brought China and Russia closer together. Now, the Kremlin has declared 2020 the year of Russian-Chinese scientific, technical and innovation cooperation.One priority stands out: artificial intelligence.Experts say this new AI partnership -- with Huawei playing a starring role -- could undermine American technological dominance. But just as Moscow and Beijing are wary of Washington, they have their doubts about each other. Some Russian tech insiders warn that working with China is fraught with risks.Nevertheless, when Chinese President Xi Jinping visited Russia last June, the two governments announced a joint investment fund for high-tech projects. The fund launched in September with an initial budget of $1 billion and a focus on financing AI research.Meanwhile, several Chinese tech companies have entered Russia over the past year, hunting for AI opportunities.China's Dahua Technology and Russia's NtechLab joined forces in May to release a camera with facial recognition capabilities -- a product that could appeal to law enforcement in both countries. In December, Chinese software developer Vinci Group agreed to work on AI products with Russian IT startup Jovi Technologies.But no Chinese company has done more than Huawei to establish itself as an AI player in Russia.
Some experts say the new Russia-China partnership in AI, including facial recognition, could undermine American technological dominance.
© Reuters
In June, Huawei spent $50 million for the rights to facial recognition technology developed by Russian startup Vocord. The venture's website touts the typical mix of surveillance applications -- "public places, transport hubs, stadiums, commercial centers and banks" -- but also features a quirky tool for uploading family photos to see which relative your child most resembles.Huawei waded in deeper in August, signing a cooperation deal with an AI research center backed by Moscow. Then, at a conference in November, it announced plans to build an ambitious "AI ecosystem" in Russia by 2025."Huawei aims to work with industry organizations and engage over 100,000 AI developers, more than 100 [independent software vendors] and over 20 universities to build an AI ecosystem within five years, bringing AI applications to more industries," said Jiang Tao, vice president of Huawei Intelligent Computing BU.Russia may have only a handful of its own AI startups, but the country has plenty of offer Chinese partners, according to Valentin Makarov. The president of Russoft, an influential software developers association, said Russia can boast of highly skilled specialists, strong research institutions and good achievements in specific AI-related fields such as facial recognition -- a point that appears to have drawn Huawei to Vocord.As for Russian AI businesses, partnerships with China represent an opportunity to bring their work to an enormous market, noted Igor Bogachev, CEO of IT company Zyfra."There are estimates that the Chinese AI market in 2018 was $4.9 billion -- that's a huge number," said Bogachev, whose company works with AI. "So of course the Russian companies are quite interested in bringing their designs to the Chinese market."As joint projects progress, they could help Russia and China turn the tables on the West.
Huawei wants to build an "AI ecosystem" in Russia by 2025.
© Reuters
Russia's access to Western technology has been limited by U.S. and European sanctions imposed over the Ukraine crisis in 2014. China has felt a similar squeeze amid the trade war with U.S. President Donald Trump.But Samuel Bendett, a research analyst at the Washington-based Center for Naval Analyses, thinks the growing Sino-Russian cooperation could chip away at America's edge."Both China and Russia are making public their plans to compete for the [world's] best and brightest high-tech workers, seeking to attract this newly emerging AI talent pool to their respective countries," Bendett said.The U.S., he continued, "has an advantage in the near- to mid-term as the country with the biggest financial and educational support for AI development, but Sino-Russian cooperation can erode this advantage down the line."The Pentagon sees a national security threat, even though Moscow and Beijing have yet to openly collaborate on military AI. In an AI strategy released in February 2019, the Defense Department warned that growing Russian and Chinese spending on military applications for artificial intelligence threatens "to erode our technological and operational advantages and destabilize the free and open international order."Others question whether the partnership will ever get that far. Skeptics note that fundamental issues of trust could pose serious obstacles to true cooperation.Intellectual property rights are one concern.In December, in an unusual public airing of grievances, Russia's state defense conglomerate Rostec accused China of copying everything from Sukhoi fighter jets to missile systems. Many Russian AI companies fear losing their technologies the same way, explained Alexey Maslov, a professor at the National Research University Higher School of Economics."Formally, Russia and China have signed all the agreements about respecting intellectual property, but we know of cases of China acquiring Russian technology through piracy," Maslov said. "As a result, Russian companies are afraid of cooperating with China."
Chinese President Xi Jinping and Russian President Vladimir Putin: During Xi's visit to Russia in June, the governments announced a joint investment fund for high-tech projects, especially AI.
© AP
Some Russian tech companies working in China, he added, register in Singapore or Hong Kong -- hoping for an extra layer of protection.Bogachev said his company treads carefully. "On the one hand we have experience working in China and want to do business there," he said. "But at the same time we are very cautious about doing so because we are genuinely worried about our intellectual property."Another concern is technological asymmetry.Sergey Karelov, founder and chief technology officer at Russian IT consultancy Witology, worries Russia's relatively small AI market means China will not consider it an equal partner. He offered a grim prediction of Russia's technological future as Washington and Beijing's great power competition unfolds."The United States and China are moving rapidly ahead, and all the other countries will find themselves hopelessly behind in just a few years," Karelov said. "We will have a strange bipolar world in which it will be too late to talk about cooperation between [first-tier powers like] the United States or China and second tier countries like Russia or Germany."Russia's AI cooperation with China, Karelov warned, could result in a massive outflow of Russian data that would only widen the gap between the two nations.Nearly all the Russian experts Nikkei spoke with opposed Moscow sharing any military AI innovations with China. Russoft's Makarov argued Russia cannot afford to work with China in such a sensitive area because there is no guarantee their friendship will last."There are certain critical technologies that will determine the new economic order and you need to maintain sovereignty over them," he said. "History has unfortunately shown that periods of warming are replaced by other periods."
A Korsar surveillance drone is displayed in a military parade rehearsal in Moscow. Many Russian tech experts are wary of working with China on military AI.
© Getty Images
For now, Moscow and Beijing look set to continue marching arm-in-arm into the brave new world of AI. Putin's dramatic political shake-up in January, which resulted in the departure of Prime Minister Dmitry Medvedev -- who had championed AI cooperation back in 2017 -- is not expected to change that.But something else that happened the same day Medvedev's government resigned could, perhaps, have an impact.That day, the U.S. and China signed their "phase one" trade deal. Beijing agreed to boost imports of American products by $200 billion in exchange for Washington lowering its tariffs on sanctioned Chinese products to 7.5%, from 15%.Russia's political elites are far from thrilled about the compromise, Maslov said. Part of the appeal of teaming up with China was the idea of creating a united front against the U.S. But the professor said Moscow is even less likely to trust Beijing with advanced technologies now that it doubts China's commitment to resisting Washington."It turned out that China is not ready to wage a real fight against the United States and, in this, the psychology between Russia and China diverges," Maslov said. "Russia is ready to fight whereas China is ready to back down."The sense in Russia, he said, is that "China is not the reliable partner to whom you can give over advanced technologies because China is not willing to actively defend its interests against the outside world."Pressure from the U.S. motivated China and Russia to put their heads together on AI. A difference of opinion on how to deal with the U.S. might just tear them apart.Stay ahead with our exclusives on AsiaSign up to our newsletters to get our best stories delivered straight to your inbox.See Also
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| Huawei plays star role in new China-Russia AI partnership | Huawei plays star role new ChinaRussia AI partnership Nikkei Asian Review ArrowArtboardCreated Sketch.ArtboardCreated Sketch.Title ChevronTitle ChevronEye IconIcon FacebookIcon LinkedinIcon Mail Path LayerIcon MailMenu BurgerPositive ArrowIcon PrintIcon Site TitleTitle ChevronIcon Twitter Editors Picks Business Markets Automobiles Banking Finance Technology Electronics Telecommunication More Aerospace Defense Biotechnology Construction Consumer Energy Food Beverage Health Care Travel Leisure Insurance Machinery Industrial Equipment Materials Media Entertainment Pharmaceuticals Real Estate Retail Services Transportation Asia300 Politics Economy Opinion Life Arts News By Location Quicklinks: Japan China ASEAN India East Asia Southeast Asia South Asia Rest World Illustration Michael Tsang Asia Insight Huawei plays star role new ChinaRussia AI partnershipDistrust US outweighs suspicion nowDIMITRI SIMES, Contributing writer February 04, 2020 15:28 JST MOSCOW As Huawei Technologies scrambled cope U.S. sanctions 2019, Chinese telecom equipment maker feeling love Russia.Huawei acquired Russian facial recognition technology. It launched 5G test zone Moscow. Russian President Vladimir Putin spoke company, saying U.S. trying brazenly force global market blacklisting it, quoted governmentfunded RT.Indeed, mutual suspicion U.S. shared concerns frozen advanced technology brought China Russia closer together. Now, Kremlin declared 2020 year RussianChinese scientific, technical innovation cooperation.One priority stands out: artificial intelligence.Experts new AI partnership Huawei playing starring role undermine American technological dominance. But Moscow Beijing wary Washington, doubts other. Some Russian tech insiders warn working China fraught risks.Nevertheless, Chinese President Xi Jinping visited Russia June, governments announced joint investment fund hightech projects. The fund launched September initial budget 1 billion focus financing AI research.Meanwhile, Chinese tech companies entered Russia past year, hunting AI opportunities.Chinas Dahua Technology Russias NtechLab joined forces May release camera facial recognition capabilities product appeal law enforcement countries. In December, Chinese software developer Vinci Group agreed work AI products Russian IT startup Jovi Technologies.But Chinese company Huawei establish AI player Russia. Some experts new RussiaChinapartnership AI, including facial recognition,could undermine American technological dominance. Reuters In June, Huawei spent 50 million rights facial recognition technology developed Russian startup Vocord. The ventures website touts typical mix surveillance applications public places, transport hubs, stadiums, commercial centers banks features quirky tool uploading family photos relative child resembles.Huawei waded deeper August, signing cooperation deal AI research center backed Moscow. Then, conference November, announced plans build ambitious AI ecosystem Russia 2025.Huawei aims work industry organizations engage 100,000 AI developers, 100 [independent software vendors] 20 universities build AI ecosystem years, bringing AI applications industries, said Jiang Tao, vice president Huawei Intelligent Computing BU.Russia handful AI startups, country plenty offer Chinese partners, according Valentin Makarov. The president Russoft, influential software developers association, said Russia boast highly skilled specialists, strong research institutions good achievements specific AIrelated fields facial recognition point appears drawn Huawei Vocord.As Russian AI businesses, partnerships China represent opportunity bring work enormous market, noted Igor Bogachev, CEO IT company Zyfra.There estimates Chinese AI market 2018 4.9 billion thats huge number, said Bogachev, company works AI. So course Russian companies interested bringing designs Chinese market.As joint projects progress, help Russia China turn tables West. Huawei wants build anAI ecosystem Russia 2025. Reuters Russias access Western technology limited U.S. European sanctions imposed Ukraine crisis 2014. China felt similar squeeze amid trade war U.S. President Donald Trump.But Samuel Bendett, research analyst Washingtonbased Center Naval Analyses, thinks growing SinoRussian cooperation chip away Americas edge.Both China Russia making public plans compete [worlds] best brightest hightech workers, seeking attract newly emerging AI talent pool respective countries, Bendett said.The U.S., continued, advantage near midterm country biggest financial educational support AI development, SinoRussian cooperation erode advantage line.The Pentagon sees national security threat, Moscow Beijing openly collaborate military AI. In AI strategy released February 2019, Defense Department warned growing Russian Chinese spending military applications artificial intelligence threatens erode technological operational advantages destabilize free open international order.Others question partnership far. Skeptics note fundamental issues trust pose obstacles true cooperation.Intellectual property rights concern.In December, unusual public airing grievances, Russias state defense conglomerate Rostec accused China copying Sukhoi fighter jets missile systems. Many Russian AI companies fear losing technologies way, explained Alexey Maslov, professor National Research University Higher School Economics.Formally, Russia China signed agreements respecting intellectual property, know cases China acquiring Russian technology piracy, Maslov said. As result, Russian companies afraid cooperating China. Chinese President Xi Jinping Russian President Vladimir Putin: During Xis visit Russia June, governmentsannounced joint investment fund hightech projects, especially AI. AP Some Russian tech companies working China, added, register Singapore Hong Kong hoping extra layer protection.Bogachev said company treads carefully. On hand experience working China want business there, said. But time cautious genuinely worried intellectual property.Another concern technological asymmetry.Sergey Karelov, founder chief technology officer Russian IT consultancy Witology, worries Russias relatively small AI market means China consider equal partner. He offered grim prediction Russias technological future Washington Beijings great power competition unfolds.The United States China moving rapidly ahead, countries hopelessly years, Karelov said. We strange bipolar world late talk cooperation [firsttier powers like] United States China second tier countries like Russia Germany.Russias AI cooperation China, Karelov warned, result massive outflow Russian data widen gap nations.Nearly Russian experts Nikkei spoke opposed Moscow sharing military AI innovations China. Russofts Makarov argued Russia afford work China sensitive area guarantee friendship last.There certain critical technologies determine new economic order need maintain sovereignty them, said. History unfortunately shown periods warming replaced periods. A Korsar surveillance drone displayed military parade rehearsal Moscow. Many Russian tech experts wary working China military AI. Getty Images For now, Moscow Beijing look set continue marching arminarm brave new world AI. Putins dramatic political shakeup January, resulted departure Prime Minister Dmitry Medvedev championed AI cooperation 2017 expected change that.But happened day Medvedevs government resigned could, perhaps, impact.That day, U.S. China signed phase trade deal. Beijing agreed boost imports American products 200 billion exchange Washington lowering tariffs sanctioned Chinese products 7.5, 15.Russias political elites far thrilled compromise, Maslov said. Part appeal teaming China idea creating united U.S. But professor said Moscow likely trust Beijing advanced technologies doubts Chinas commitment resisting Washington.It turned China ready wage real fight United States and, this, psychology Russia China diverges, Maslov said. Russia ready fight China ready down.The sense Russia, said, China reliable partner advanced technologies China willing actively defend interests outside world.Pressure U.S. motivated China Russia heads AI. A difference opinion deal U.S. tear apart.Stay ahead exclusives AsiaSign newsletters best stories delivered straight inbox.See Also Indonesias wealth gap spurs Muslims join economic jihad Read NextInternational relationsRussia arms Chinese theft military technologyCommentRussia destined edge closer China 2020Asia InsightBelarus buddies China alternative RussiaAerospace DefensePentagon seeks triple AI warfare budget meet Chinas riseInternational relationsRussia Huawei team tech cold war deepensCommentUS fears Chinas AIarmed military wellfoundedSponsored Content About Sponsored Content This content commissioned Nikkeis Global Business Bureau.Get Insights Asia inboxSign UpConnect With UsAbout usSitemapHelpTerms usePrivacy cookie policy AdvertisingNikkei . No reproduction permission.You numberArticlesLeft free articlenumberArticlesLeftplural left monthThis free article monthStay ahead exclusives Asia; dynamic market world.Stay ahead exclusives AsiaGet trusted insights experts Asia itself.Get trusted insights experts Asia itself. Get Unlimited access You numberArticlesLeft free articlenumberArticlesLeftplural left month This free article month Stay ahead exclusives Asia; dynamic market world. Get trusted insights experts Asia itself. Try 3 months 9 Offer ends January 31st Your trial period expired You need subscription to... Read stories unlimited accessUse mobile tablet apps See offers subscribe Your access Nikkei Asian Review expired You need subscription to: Read stories unlimited accessUse mobile tablet apps See offers | 2,020 | [
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] | 1 | POSITIVE | 667 |
https://www.eurekalert.org/pub_releases/2020-03/ru-dlr030520.php | 2020-03-09T00:00:00 | en | Deep learning rethink overcomes major obstacle in AI industry | EurekAlert! Science News |
Deep learning rethink overcomes major obstacle in AI industry | EurekAlert! Science News
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News Release 2-Mar-2020
Deep learning rethink overcomes major obstacle in AI industry
SLIDE is first algorithm for training deep neural nets faster on CPUs than GPUs
Rice University
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IMAGE: SLIDE lead inventor Anshumali Shrivastava is an assistant professor of computer science in Rice University's Brown School of Engineering.
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Credit: Jeff Fitlow/Rice University
AUSTIN, Texas -- (March 2, 2020) -- Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware like graphics processing units (GPUs).
Computer scientists from Rice, supported by collaborators from Intel, will present their results today at the Austin Convention Center as a part of the machine learning systems conference MLSys.
Many companies are investing heavily in GPUs and other specialized hardware to implement deep learning, a powerful form of artificial intelligence that's behind digital assistants like Alexa and Siri, facial recognition, product recommendation systems and other technologies. For example, Nvidia, the maker of the industry's gold-standard Tesla V100 Tensor Core GPUs, recently reported a 41% increase in its fourth quarter revenues compared with the previous year.
Rice researchers created a cost-saving alternative to GPU, an algorithm called "sub-linear deep learning engine" (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware.
"Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures," said Anshumali Shrivastava, an assistant professor in Rice's Brown School of Engineering who invented SLIDE with graduate students Beidi Chen and Tharun Medini.
SLIDE doesn't need GPUs because it takes a fundamentally different approach to deep learning. The standard "back-propagation" training technique for deep neural networks requires matrix multiplication, an ideal workload for GPUs. With SLIDE, Shrivastava, Chen and Medini turned neural network training into a search problem that could instead be solved with hash tables.
This radically reduces the computational overhead for SLIDE compared to back-propagation training. For example, a top-of-the-line GPU platform like the ones Amazon, Google and others offer for cloud-based deep learning services has eight Tesla V100s and costs about $100,000, Shrivastava said.
"We have one in the lab, and in our test case we took a workload that's perfect for V100, one with more than 100 million parameters in large, fully connected networks that fit in GPU memory," he said. "We trained it with the best (software) package out there, Google's TensorFlow, and it took 3 1/2 hours to train.
"We then showed that our new algorithm can do the training in one hour, not on GPUs but on a 44-core Xeon-class CPU," Shrivastava said.
Deep learning networks were inspired by biology, and their central feature, artificial neurons, are small pieces of computer code that can learn to perform a specific task. A deep learning network can contain millions or even billions of artificial neurons, and working together they can learn to make human-level, expert decisions simply by studying large amounts of data. For example, if a deep neural network is trained to identify objects in photos, it will employ different neurons to recognize a photo of a cat than it will to recognize a school bus.
"You don't need to train all the neurons on every case," Medini said. "We thought, 'If we only want to pick the neurons that are relevant, then it's a search problem.' So, algorithmically, the idea was to use locality-sensitive hashing to get away from matrix multiplication."
Hashing is a data-indexing method invented for internet search in the 1990s. It uses numerical methods to encode large amounts of information, like entire webpages or chapters of a book, as a string of digits called a hash. Hash tables are lists of hashes that can be searched very quickly.
"It would have made no sense to implement our algorithm on TensorFlow or PyTorch because the first thing they want to do is convert whatever you're doing into a matrix multiplication problem," Chen said. "That is precisely what we wanted to get away from. So we wrote our own C++ code from scratch."
Shrivastava said SLIDE's biggest advantage over back-propagation is that it is data parallel.
"By data parallel I mean that if I have two data instances that I want to train on, let's say one is an image of a cat and the other of a bus, they will likely activate different neurons, and SLIDE can update, or train on these two independently," he said. "This is much a better utilization of parallelism for CPUs.
"The flipside, compared to GPU, is that we require a big memory," he said. "There is a cache hierarchy in main memory, and if you're not careful with it you can run into a problem called cache thrashing, where you get a lot of cache misses."
Shrivastava said his group's first experiments with SLIDE produced significant cache thrashing, but their training times were still comparable to or faster than GPU training times. So he, Chen and Medini published the initial results on arXiv in March 2019 and uploaded their code to GitHub. A few weeks later, they were contacted by Intel.
"Our collaborators from Intel recognized the caching problem," he said. "They told us they could work with us to make it train even faster, and they were right. Our results improved by about 50% with their help."
Shrivastava said SLIDE hasn't yet come close to reaching its potential.
"We've just scratched the surface," he said. "There's a lot we can still do to optimize. We have not used vectorization, for example, or built-in accelerators in the CPU, like Intel Deep Learning Boost. There are a lot of other tricks we could still use to make this even faster."
He said SLIDE is important because it shows there are other ways to implement deep learning.
"The whole message is, 'Let's not be bottlenecked by multiplication matrix and GPU memory,'" Shrivastava said. "Ours may be the first algorithmic approach to beat GPU, but I hope it's not the last. The field needs new ideas, and that is a big part of what MLSys is about."
###
Additional co-authors include James Farwell, Sameh Gobriel and Charlie Tai, all of Intel Labs.
The research was supported by the National Science Foundation (NSF-1652131, NSF-BIGDATA 1838177), the Air Force Office of Scientific Research (FA9550-18-1-0152), Amazon and the Office of Naval Research.
Links and resources:
A copy of the MLSys paper is available at: https://www.cs.rice.edu/~as143/Papers/SLIDE_MLSys.pdf
High-resolution IMAGES are available for download at:
https://news-network.rice.edu/news/files/2020/03/0302_SLIDE-anshu78-lg.jpg
CAPTION: Rice University's Anshumali Shrivastava led a team that demonstrated how to implement deep learning technology without specialized acceleration hardware like graphics processing units. (Photo by Jeff Fitlow/Rice University)
https://news-network.rice.edu/news/files/2020/03/0302_SLIDE-bctm54-lg.jpg
CAPTION: Beidi Chen and Tharun Medini, graduate students in computer science at Rice University, helped develop SLIDE, an algorithm for training deep neural networks without graphics processing units. (Photo by Jeff Fitlow/Rice University)
https://news-network.rice.edu/news/files/2020/03/1209_SLIDE-as028-16-lg.jpg
CAPTION: SLIDE lead inventor Anshumali Shrivastava is an assistant professor of computer science in Rice University's Brown School of Engineering. (Photo by Jeff Fitlow/Rice University)
This release can be found online at news.rice.edu.
Follow Rice News and Media Relations via Twitter @RiceUNews.
Located on a 300-acre forested campus in Houston, Rice University is consistently ranked among the nation's top 20 universities by U.S. News & World Report. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy. With 3,962 undergraduates and 3,027 graduate students, Rice's undergraduate student-to-faculty ratio is just under 6-to-1. Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. 1 for lots of race/class interaction and No. 4 for quality of life by the Princeton Review. Rice is also rated as a best value among private universities by Kiplinger's Personal Finance.
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Deep learning rethink overcomes major obstacle in AI industry
Rice University
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National Science Foundation, Air Force Office of Scientific Research, Amazon, Office of Naval Research
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News Release2Mar2020 Deep learning rethink overcomes major obstacle AI industry SLIDE algorithm training deep neural nets faster CPUs GPUs Rice University Share Print EMail IMAGE:SLIDE lead inventor Anshumali Shrivastava assistant professor science Rice Universitys Brown School Engineering. view Credit: Jeff FitlowRice University AUSTIN, Texas March 2, 2020 Rice University scientists overcome major obstacle burgeoning artificial intelligence industry showing possible speed deep learning technology specialized acceleration hardware like graphics processing units GPUs. Computer scientists Rice, supported collaborators Intel, present results today Austin Convention Center machine learning systems conference MLSys. Many companies investing heavily GPUs specialized hardware implement deep learning, powerful form artificial intelligence thats digital assistants like Alexa Siri, facial recognition, product recommendation systems technologies. For example, Nvidia, maker industrys goldstandard Tesla V100 Tensor Core GPUs, recently reported 41 increase fourth quarter revenues compared previous year. Rice researchers created costsaving alternative GPU, algorithm called sublinear deep learning engine SLIDE uses general purpose central processing units CPUs specialized acceleration hardware. Our tests SLIDE smart algorithmic implementation deep learning CPU outperform GPU hardware acceleration industryscale recommendation datasets large fully connected architectures, said Anshumali Shrivastava, assistant professor Rices Brown School Engineering invented SLIDE graduate students Beidi Chen Tharun Medini. SLIDE doesnt need GPUs takes fundamentally different approach deep learning. The standard backpropagation training technique deep neural networks requires matrix multiplication, ideal workload GPUs. With SLIDE, Shrivastava, Chen Medini turned neural network training search problem instead solved hash tables. This radically reduces computational overhead SLIDE compared backpropagation training. For example, topoftheline GPU platform like ones Amazon, Google offer cloudbased deep learning services Tesla V100s costs 100,000, Shrivastava said. We lab, test case took workload thats perfect V100, 100 million parameters large, fully connected networks fit GPU memory, said. We trained best software package there, Googles TensorFlow, took 3 12 hours train. We showed new algorithm training hour, GPUs 44core Xeonclass CPU, Shrivastava said. Deep learning networks inspired biology, central feature, artificial neurons, small pieces code learn perform specific task. A deep learning network contain millions billions artificial neurons, working learn humanlevel, expert decisions simply studying large amounts data. For example, deep neural network trained identify objects photos, employ different neurons recognize photo cat recognize school bus. You dont need train neurons case, Medini said. We thought, If want pick neurons relevant, search problem. So, algorithmically, idea use localitysensitive hashing away matrix multiplication. Hashing dataindexing method invented internet search 1990s. It uses numerical methods encode large amounts information, like entire webs chapters book, string digits called hash. Hash tables lists hashes searched quickly. It sense implement algorithm TensorFlow PyTorch thing want convert youre matrix multiplication problem, Chen said. That precisely wanted away from. So wrote C code scratch. Shrivastava said SLIDEs biggest advantage backpropagation data parallel. By data parallel I mean I data instances I want train on, lets image cat bus, likely activate different neurons, SLIDE update, train independently, said. This better utilization parallelism CPUs. The flipside, compared GPU, require big memory, said. There cache hierarchy main memory, youre careful run problem called cache thrashing, lot cache misses. Shrivastava said groups experiments SLIDE produced significant cache thrashing, training times comparable faster GPU training times. So he, Chen Medini published initial results arXiv March 2019 uploaded code GitHub. A weeks later, contacted Intel. Our collaborators Intel recognized caching problem, said. They told work train faster, right. Our results improved 50 help. Shrivastava said SLIDE come close reaching potential. Weve scratched surface, said. Theres lot optimize. We vectorization, example, builtin accelerators CPU, like Intel Deep Learning Boost. There lot tricks use faster. He said SLIDE important shows ways implement deep learning. The message is, Lets bottlenecked multiplication matrix GPU memory, Shrivastava said. Ours algorithmic approach beat GPU, I hope last. The field needs new ideas, big MLSys about. Additional coauthors include James Farwell, Sameh Gobriel Charlie Tai, Intel Labs. The research supported National Science Foundation NSF1652131, NSFBIGDATA 1838177, Air Force Office Scientific Research FA95501810152, Amazon Office Naval Research. Links resources: A copy MLSys paper available at: Highresolution IMAGES available download at: CAPTION: Rice Universitys Anshumali Shrivastava led team demonstrated implement deep learning technology specialized acceleration hardware like graphics processing units. Photo Jeff FitlowRice University CAPTION: Beidi Chen Tharun Medini, graduate students science Rice University, helped develop SLIDE, algorithm training deep neural networks graphics processing units. Photo Jeff FitlowRice University CAPTION: SLIDE lead inventor Anshumali Shrivastava assistant professor science Rice Universitys Brown School Engineering. Photo Jeff FitlowRice University This release online news.. Follow Rice News Media Relations Twitter Located 300acre forested campus Houston, Rice University consistently ranked nations 20 universities U.S. News World Report. Rice highly respected schools Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences Social Sciences home Baker Institute Public Policy. With 3,962 undergraduates 3,027 graduate students, Rices undergraduate studenttofaculty ratio 6to1. Its residential college builds closeknit communities lifelong friendships, reason Rice ranked No. 1 lots raceclass interaction No. 4 quality life Princeton Review. Rice rated best value private universities Kiplingers Personal Finance. Disclaimer: AAAS EurekAlert responsible accuracy news releases posted EurekAlert contributing institutions use information EurekAlert system. Share Print EMail Media Jade Boyd jadeboyd 7133486778 More News Release Deep learning rethink overcomes major obstacle AI industry Rice University Funder National Science Foundation, Air Force Office Scientific Research, Amazon, Office Naval Research Meeting Third Conference Machine Learning Systems MLSys Keywords ALGORITHMSMODELS COMPUTER SCIENCE ROBOTRYARTIFICIAL INTELLIGENCE TECHNOLOGYENGINEERINGCOMPUTER SCIENCE THEORYDESIGN Multimedia Anshumali Shrivastava IMAGE view Beidi Tharun IMAGE view More Technology Engineering Machine learning illuminates materials hidden order Cornell University New aerial image dataset help provide farmers actionable insights University Illinois Grainger College Engineering Showing robots chores Massachusetts Institute Technology Improving vision selfdriving vehicles Chinese Association Automation View Technology Engineering Trending News Releases New ESO study evaluates impact satellite constellations astronomical observations ESO Neural hardware image recognition nanoseconds Vienna University Technology Layered solar cell technology boosts efficiency, affordability University Colorado Boulder Is life game chance? University Tokyo 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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] | 1 | POSITIVE | 668 |
https://aindustryreports.com/2020/01/23/global-artificial-intelligence-ai-in-food-and-beverage-market-size-status-and-forecast-2018-2025/ | 2020-01-23T00:00:00 | en | Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 – Market Industry Reports |
Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 – Market Industry Reports
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Market Industry Reports
Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025
Tom Sam - January 23, 2020 - Heavy Industries
In this report, the Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 market is valued at USD XX million in 2017 and is expected to reach USD XX million by the end of 2025, growing at a CAGR of XX% between 2017 and 2025. Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 market has been broken down by major regions, with complete market estimates on the basis of products/applications on a regional basis.
Browse full research report at https://www.crystalmarketreport.com/global-artificial-intelligence-ai-in-food-and-beverage-market-size-status-and-forecast-2018-2025
This report focuses on the global Artificial Intelligence (AI) in Food and Beverage status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence (AI) in Food and Beverage development in United States, Europe and China.
AI technologies have been developed over the years, to assist humans in deliberating, deducing, analyzing, and inventing new technologies that can help end-users. AI embodies multiple disciplines that allow computers to perform functions associated with human intelligence such as reasoning, problem-solving, and learning. Manufacturers in the F&B industry can experience several benefits by deploying AI technology in the manufacturing sector.
During 2017, the transportation and logistics segment accounted for the major shares of the AI market in F&B industry. Factors such as the increased use of AI algorithms to ensure automatic procurement and creation of purchase and work orders and the rising need to keep up their procedures and processes will contribute to the growth of this industry segment in the coming years.
In 2017, the global Artificial Intelligence (AI) in Food and Beverage 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 2018-2025.
The key players covered in this study
Aboard Software
Analytical Flavor Systems
Deepnify
ImpactVision
IntelligentX Brewing
NotCo
Sight Machine
…
Market analysis by product type
Hardware
Software
Services
Market analysis by market
Transportation and logistics
Quality Control
Production Planning
Market analysis by Region
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Artificial Intelligence (AI) in Food and Beverage status, future forecast, growth opportunity, key market and key players.
To present the Artificial Intelligence (AI) in Food and Beverage development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Artificial Intelligence (AI) in Food and Beverage are as follows:
History Year: 2017-2018
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 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.
Browse full research report at https://www.crystalmarketreport.com/global-artificial-intelligence-ai-in-food-and-beverage-market-size-status-and-forecast-2018-2025
Reasons to Buy This Research Report
Complete access to Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 market size, growth rate and forecast to 2025
In-depth quantitative information on key regional Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 markets including North America, Europe, MEA and Asia Pacific
Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 Market estimates and forecasts for key products/applications on a regional basis
Facility to obtain country level information for complete Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 market segmentation
Key trends, drivers and restraints for global Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 market
Challenges to market growth for Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 manufacturers
Key market opportunities of Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 Industry
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| Global Artificial Intelligence (AI) in Food and Beverage Market Size, Status and Forecast 2018-2025 | Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 Tom Sam January 23, 2020 Heavy Industries In report, Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 market valued USD XX million 2017 expected reach USD XX million end 2025, growing CAGR XX 2017 2025. Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 market broken major regions, complete market estimates basis productsapplications regional basis. Browse research report This report focuses global Artificial Intelligence AI Food Beverage status, future forecast, growth opportunity, key market key players. The study objectives present Artificial Intelligence AI Food Beverage development United States, Europe China. AI technologies developed years, assist humans deliberating, deducing, analyzing, inventing new technologies help endusers. AI embodies multiple disciplines allow computers perform functions associated human intelligence reasoning, problemsolving, learning. Manufacturers FB industry experience benefits deploying AI technology manufacturing sector. During 2017, transportation logistics segment accounted major shares AI market FB industry. Factors increased use AI algorithms ensure automatic procurement creation purchase work orders rising need procedures processes contribute growth industry segment coming years. In 2017, global Artificial Intelligence AI Food Beverage market size xx million US expected reach xx million US end 2025, CAGR xx 20182025. The key players covered study Aboard Software Analytical Flavor Systems Deepnify ImpactVision IntelligentX Brewing NotCo Sight Machine Market analysis product type Hardware Software Services Market analysis market Transportation logistics Quality Control Production Planning Market analysis Region United States Europe China Japan Southeast Asia India Central South America The study objectives report are: To analyze global Artificial Intelligence AI Food Beverage status, future forecast, growth opportunity, key market key players. To present Artificial Intelligence AI Food Beverage development United States, Europe China. To strategically profile key players comprehensively analyze development plan strategies. To define, forecast market product type, market key regions. In study, years considered estimate market size Artificial Intelligence AI Food Beverage follows: History Year: 20172018 Base Year: 2017 Estimated Year: 2018 Forecast Year 2018 2025 For data information region, company, type application, 2017 considered base year. Whenever data information unavailable base year, prior year considered. Browse research report Reasons Buy This Research Report Complete access Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 market size, growth rate forecast 2025 Indepth quantitative information key regional Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 markets including North America, Europe, MEA Asia Pacific Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 Market estimates forecasts key productsapplications regional basis Facility obtain country level information complete Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 market segmentation Key trends, drivers restraints global Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 market Challenges market growth Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 manufacturers Key market opportunities Global Artificial Intelligence AI Food Beverage Market Size, Status Forecast 20182025 Industry About Crystal Market Reports Crystal Market Reports distributor market research spanning 160 industries. Our extensive database consists 400,000 quality publications sourced 400 plus publishers, puts research specialists unique position able offer truly unbiased advice research provides valuable insights. Info.: Address: 90 State Street Suite 700 Albany New York 12207 Email: [emailprotected] Web: Post navigation Previous PostPrevious Global Superfine Fiber Synthetic Leather Market Professional Survey Report 2018Next PostNext Global Slow Controlled Release Fertilizers Market Professional Survey Report 2018 2020 Market Industry Reports Powered FilaThemes | 2,020 | [
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https://www.slideshare.net/visuvijay/artificial-intelligence-232657530 | 2020-04-26T00:00:00 | en | Artificial intelligence |
Artificial intelligence
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Artificial intelligence
1.
SRI PADMAVATHI MAHILA VISVAVIDYALAYAM
School of engineering and technology
(Women’s university)
TIRUPATI
2.
ARITIFICAL INTELLIGENCE
PRESENTED BY
NAME:BANDELA.VISU
DATE:28/09/2019
3.
Contents
• What is an AI
• What contributes to AI
• Who invented the AI
• What type of thing is AI
• Types of AI
• Humanoid robot
• Applications of AI
• Advantages and Disadvantages of AI
4.
What is an ARTIFICIAL INTELLIGENCE?
• Intelligence exhibited by machines or software.
• It is also the name of the scientific field which studies how to
create computers and computer software that are capable of
intelligent behaviour..
5.
What Contributes to ARTIFICIAL INTELLIGENCE?
As per the definition of AI, it is the science and technology which are
based on regiments like Computer Science, Biology, Psychology,
Linguistics, Mathematics, and Engineering.
6.
Who invented the Artificial Intelligence?
• The research on AI began in the early 1950 from various scientists and
the scientist who named as JOHN McCarthi in the year 1955. Artificial
Intelligence is a branch of science that refers to the ability of a computer
program to perform functions and reach conclusions independently. Early
advances in artificial intelligence were purely theoretical, while later
programming efforts resulted in computer programs that could play games
and even make scientific breakthroughs. Later artificial intelligence
programs became more and more advanced, culminating in the
technology of today.
7.
What type of thing is ARTIFICIAL INTELLIGENCE?
AI is intelligence is the simulation of human intelligence processes by
machine(especially a computer system) these processes inculde learning ,
reasoning , and self correction.
8.
Types of artificial intelligence
• Weak AI–
It is also known as narrow AI. It is designed and trained for a
particular task.
Example : virtual personal assistants.
• Strong AI–
It is also known as Artificial general intelligence (AGI).
Is an AI system with generalized human coginitive abilities. Then presented
with unfamiliar task "at least as smart as a typical human".
Example : A strong AI system is able to find a solution without human
interaction and intervention. Automous driving(self driving that is without
driver).
9.
HUMANOID ROBOT
• Sophia is a social humanoid robot developed by
Hong Kong based company Hanson Robotics.
Sophia was activated on February 14, 2016.
• And made its first public appearance at South by
Southwest Festival (SXSW) in mid-March 2016 in
Austin, Texas, United States.
• It is able to display more than 50 facial
expressions.
• Sophia has been covered by media around the
globe and has participated in many high-profile
interviews.
• In October 2017, Sophia became the first robot to
receive citizenship of any country.
• In November 2017, Sophia was named the United
Nations Development Programme's first ever
Innovation Champion, and is the first non-human to
be given any United Nations title.
10.
Applications of ARTIFICIAL INTELLIGENCE
• Artificial Creativity
• Automatic target recognition
• Computer vision
• Image processing
• Intelligent word recognition
• Object recognition
• Game artificial intelligence
• Natural language processing
11.
AI Advantages
• Avalibility
• Reduction of error
• Digital Assistants
• Repetitive Job Unemployment
• Handiling repetative jobs
• Redusing human effort
AI Disadvantages
• Most expensive
• No Replicating Humans
• No Improvement with Experience
• No Original Creativity
• Restricted works
ADVANTAGES AND DISADVANTAGES OF AI
12.
THANK YOU!!
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| Artificial intelligence | Artificial intelligence Slideshare uses cookies improve functionality performance, provide relevant advertising. If continue browsing site, agree use cookies website. See User Agreement . Slideshare uses cookies improve functionality performance, provide relevant advertising. If continue browsing site, agree use cookies website. See User Agreement details. SlideShare Explore You Upload Signup Submit Home Explore Presentation Courses PowerPoint Courses LinkedIn Learning Successfully reported slideshow. We use LinkedIn profile activity data personalize ads relevant ads. You change ad preferences anytime. Artificial intelligence Upcoming SlideShare Loading 5 1 1 12 Like presentation? Why share Share Email Global Healthcare Report Q2 2019 byCB Insights 826175views Be A Great Product Leader Amplify,... byAdam Nash 239591views Trillion Dollar Coach Book Bill Ca... byEric Schmidt 285664views APIdays Paris 2019 Innovation @ s... byapidays 267685views A thoughts work lifebalance byWim Vanderbauwhede 182159views Is vc thing final byMark Suster 232785views Share SlideShare Facebook Twitter LinkedIn Embed Size px Start Show related SlideShares end WordPress Shortcode Link Artificial intelligence 27 views Share Like Download ... visuvijay Follow Published Apr 26, 2020 A artificial intelligence useable present generation. The ppt best known AI. ... Published in: Engineering 0 Comments 0 Likes Statistics Notes Full Name Comment goes here. 12 hours ago Delete Reply Block Are sure want Yes No Your message goes Post Be comment Be like No Downloads Views Total views 27 On SlideShare 0 From Embeds 0 Number Embeds 0 Actions Shares 0 Downloads 0 Comments 0 Likes 0 Embeds 0 No embeds No notes slide Artificial intelligence 1. SRI PADMAVATHI MAHILA VISVAVIDYALAYAM School engineering technology Womens university TIRUPATI 2. ARITIFICAL INTELLIGENCE PRESENTED BY NAME:BANDELA.VISU DATE:28092019 3. Contents What AI What contributes AI Who invented AI What type thing AI Types AI Humanoid robot Applications AI Advantages Disadvantages AI 4. What ARTIFICIAL INTELLIGENCE? Intelligence exhibited machines software. It scientific field studies create computers software capable intelligent behaviour.. 5. What Contributes ARTIFICIAL INTELLIGENCE? As definition AI, science technology based regiments like Computer Science, Biology, Psychology, Linguistics, Mathematics, Engineering. 6. Who invented Artificial Intelligence? The research AI began early 1950 scientists scientist named JOHN McCarthi year 1955. Artificial Intelligence branch science refers ability program perform functions reach conclusions independently. Early advances artificial intelligence purely theoretical, later programming efforts resulted programs play games scientific breakthroughs. Later artificial intelligence programs advanced, culminating technology today. 7. What type thing ARTIFICIAL INTELLIGENCE? AI intelligence simulation human intelligence processes machineespecially processes inculde learning , reasoning , self correction. 8. Types artificial intelligence Weak AI It known narrow AI. It designed trained particular task. Example : virtual personal assistants. Strong AI It known Artificial general intelligence AGI. Is AI generalized human coginitive abilities. Then presented unfamiliar task smart typical human. Example : A strong AI able solution human interaction intervention. Automous drivingself driving driver. 9. HUMANOID ROBOT Sophia social humanoid robot developed Hong Kong based company Hanson Robotics. Sophia activated February 14, 2016. And public appearance South Southwest Festival SXSW midMarch 2016 Austin, Texas, United States. It able display 50 facial expressions. Sophia covered media globe participated highprofile interviews. In October 2017, Sophia robot receive citizenship country. In November 2017, Sophia named United Nations Development Programmes Innovation Champion, nonhuman given United Nations title. 10. Applications ARTIFICIAL INTELLIGENCE Artificial Creativity Automatic target recognition Computer vision Image processing Intelligent word recognition Object recognition Game artificial intelligence Natural language processing 11. AI Advantages Avalibility Reduction error Digital Assistants Repetitive Job Unemployment Handiling repetative jobs Redusing human effort AI Disadvantages Most expensive No Replicating Humans No Improvement Experience No Original Creativity Restricted works ADVANTAGES AND DISADVANTAGES OF AI 12. THANK YOU Recommended Learning Online Marketing Online Course LinkedIn Learning Teaching Techniques: Blended Learning Online Course LinkedIn Learning Visual Aesthetics Elearning Online Course LinkedIn Learning Global Healthcare Report Q2 2019 CB Insights Be A Great Product Leader Amplify, Oct 2019 Adam Nash Trillion Dollar Coach Book Bill Campbell Eric Schmidt APIdays Paris 2019 Innovation @ scale, APIs Digital Factories New Machi... apidays A thoughts work lifebalance Wim Vanderbauwhede Is vc thing final Mark Suster The GaryVee Content Model Gary Vaynerchuk English Espaol Portugus Franais Deutsch About Dev API Blog Terms Privacy Support LinkedIn Corporation 2020 Share Clipboard Facebook Twitter LinkedIn Link Public clipboards featuring slide No public clipboards slide Select clipboard Looks like youve clipped slide already. Create clipboard You clipped slide Clipping handy way collect important slides want later. Now customize clipboard store clips. 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https://feedroad.com/data-science-platform-market-and-ecosystem-business-growth-trends-microsoft-corporation-ibm-corporation-google-wolfram-more/ | 2020-04-09T00:00:00 | en | Data Science Platform Market and Ecosystem, Business Growth, Trends (Microsoft Corporation , IBM Corporation , Google , Wolfram , More) – Feed Road |
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Data Science Platform Market and Ecosystem, Business Growth, Trends (Microsoft Corporation , IBM Corporation , Google , Wolfram , More)
April 9, 2020
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The Data Science Platform market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. The report provides key statistics on the market status of the Data Science Platform manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
Complete report on Data Science Platform market spread across 139 pages, profiling companies and supported with tables and figures is now available @ https://www.insidemarketreports.com/sample-request/4/302538/Data-Science-Platform
We encourage businesses to become economically viable, socially acceptable, ethical & yet revolutionary research in technology as well as its profitable marketing with a greater conscience.
The global Data Science Platform market 2019 research is a professional and in-depth study on the current state of the industry and provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Data Science Platform market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.
This report presents the worldwide Data Science Platform market size (value, production and consumption), splits the breakdown (data status 2015-2019 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.
Companies profiled and studied for this Data Science Platform market report include Microsoft Corporation , IBM Corporation , Google , Wolfram , DataRobot , Sense , RapidMiner , Domino Data Lab , Dataiku , Alteryx , Continuum Analytics and others.
Major Points covered in this report are as below
Historical Years
2015-2019
Forcast Years
2020-2025
Market Size 2019
xx Million
Market Size 2025
xx Million
CAGR 2019-2025
xx%
Types
On-Premises On-Demand
Applications
Banking, Financial Services, and Insurance (BFSI) Healthcare and Life Sciences Information Technology and Telecom Retail and Consumer Goods Media and Entertainment Manufacturing Transportation and Logistics Energy and Utilities Government and Defense Others
Regions
North AmericaEuropeAsia-PacificSouth AmericaMiddle East & Africa
Key Players
Microsoft Corporation IBM Corporation Google Wolfram More
The report focuses on global major leading industry players of Data Science Platform 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 Data Science Platform market development trends and marketing channels are analyzed. Finally the feasibility of new investment projects are assessed and overall research conclusions offered.
With tables and figures helping analyze worldwide Data Science Platform 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.
Purchase the copy of this report at: https://www.insidemarketreports.com/buy-now/4/302538/Data-Science-Platform/single
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| Data Science Platform Market and Ecosystem, Business Growth, Trends (Microsoft Corporation , IBM Corporation , Google , Wolfram , More) | Data Science Platform Market Ecosystem, Business Growth, Trends Microsoft Corporation, IBM Corporation, Google, Wolfram, More 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: Data Science Platform Market Ecosystem, Business Growth, Trends Microsoft Corporation, IBM Corporation, Google, Wolfram, More April 9, 2020 Off By Inside Market Reports The Data Science Platform market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. The report provides key statistics market status Data Science Platform manufacturers valuable source guidance direction companies individuals interested industry. Complete report Data Science Platform market spread 139 s, profiling companies supported tables figures available @ We encourage businesses economically viable, socially acceptable, ethical revolutionary research technology profitable marketing greater conscience. The global Data Science Platform market 2019 research professional indepth study current state industry provides basic overview industry including definitions, classifications, applications industry chain structure. The Data Science Platform market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. This report presents worldwide Data Science Platform market size value, production consumption, splits breakdown data status 20152019 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. Companies profiled studied Data Science Platform market report include Microsoft Corporation, IBM Corporation, Google, Wolfram, DataRobot, Sense, RapidMiner, Domino Data Lab, Dataiku, Alteryx, Continuum Analytics others. Major Points covered report Historical Years 20152019 Forcast Years 20202025 Market Size 2019 xx Million Market Size 2025 xx Million CAGR 20192025 xx Types OnPremisesOnDemand Applications Banking, Financial Services, Insurance BFSI Healthcare Life Sciences Information Technology Telecom Retail Consumer Goods Media Entertainment Manufacturing Transportation Logistics Energy Utilities Government Defense Others Regions North AmericaEuropeAsiaPacificSouth AmericaMiddle East Africa Key Players Microsoft CorporationIBM CorporationGoogleWolframMore The report focuses global major leading industry players Data Science Platform 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 Data Science Platform market development trends marketing channels analyzed. 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https://bulletinline.com/2020/09/08/global-edge-ai-software-market-register-a-xx-cagr-in-terms-of-revenue-by-2025-ibm-microsoft-intel-google-tibco-cloudera-2/ | 2020-09-08T00:00:00 | en | Global Edge AI Software Market Register a xx% CAGR in Terms of Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera – Bulletin Line |
Global Edge AI Software Market Register a xx% CAGR in Terms of Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera – Bulletin Line
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Home2020September8Global Edge AI Software Market Register a xx% CAGR in Terms of Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera
Global Edge AI Software Market Register a xx% CAGR in Terms of Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera
Posted On: September 8, 2020
Posted By: [email protected]
Comments: 0
Introduction and Scope: Global Edge AI Software Market
The various components and growth propellants such as dominant trends, existing challenges and restrictions as well as opportunities have also been discussed at length. The report is designed to guide the business decisions of various companies and research experts who look forward to market profitable decisions in the Edge AI Software market.
Based on unbiased and uncompromised research mediated by research experts, Edge AI Software market is en route towards thumping growth and unparalleled industry returns through the forecast span, 2020-2027. For best reader comprehension, report analysts are if the opinion that the Edge AI Software market is likely to witness modest growth of xx million USD in 2020, proceeding to reach over xx million USD by 2027, clocking a CAGR of xx.
The study encompasses profiles of major companies operating in the Edge AI Software Market. Key players profiled in the report includes:
IBM
Microsoft
Intel
Google
TIBCO
Cloudera
Nutanix
Foghorn Systems
SWIM.AI
Anagog
Tact.ai
Bragi
XNOR.AI
Octonion
Veea Inc
Imagimob
We Have Recent Updates of Edge AI Software Market in Sample [email protected] https://www.orbismarketreports.com/sample-request/71021?utm_source=puja
The global Edge AI 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. Intensive research suggests global Edge AI Software market is likely to witness a thumping growth through the forecast span, 2020-27, ticking a robust CAGR of xx%.
Gauging the Impact of COVID-19 Outbreak: Global Edge AI Software Marketo 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 Edge AI Software market.o The impact of the virus has reflected potential damage to various businesses and industries as sudden and holistic lockdown have put various businesses at a jeopardy.o 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.o Additionally, the report on Edge AI Software market also takes into consideration the unique and sudden outbreak of COVID-19 that have wrecked damaging implications on holistic growth trail of the global Edge AI Software market.
By the product type, the market is primarily split into
Software Tools
Platforms
By the end-users/application, this report covers the following segments
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring & Predictive Maintenance
Telemetry
Others
Browse Full Report with Facts and Figures of Edge AI Software Market Report at @ https://www.orbismarketreports.com/global-edge-ai-software-market-growth-status-and-outlook-2019-2024?utm_source=puja
Reasons for Investment in the Report A thorough study of dynamic segmentation of the Edge AI Software market A complete analysis of the Edge AI Software market A holistic review of the vital market alterations and developments Concrete and tangible alterations in market dynamics Notable growth friendly activities of leading players A complete review of historical, current as well as potential foreseeable growth projections concerning volume and value A clear perspective governing competition spectrum across both regional and global levels that thoroughly influence future ready business discretion
Regional Analysis of Market
– 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)
Do You Have Any Query or Specific Requirement? Ask Our Industry [email protected] https://www.orbismarketreports.com/enquiry-before-buying/71021?utm_source=puja
What to Expect from the Edge AI Software Market Report
• The report surveys and makes optimum forecast pertaining to market volume and value estimation
• A thorough evaluation to investigate material sources and downstream purchase developments are echoed in the report
• This report aims to holistically characterize and classify the Edge AI Software market for superlative reader understanding
• Elaborate references on purchaser needs, barrier analysis and opportunity assessment are also ingrained
About Us : With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation.
Contact Us : Hector 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 Edge AI Software Market Register a xx% CAGR in Terms of Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera | Global Edge AI Software Market xx CAGR Terms Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020September8Global Edge AI Software Market xx CAGR Terms Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera Global Edge AI Software Market xx CAGR Terms Revenue By 2025 : IBM, Microsoft, Intel, Google, TIBCO, Cloudera Posted On: September 8, 2020 Posted By: [emailprotected] Comments: 0 Introduction Scope: Global Edge AI Software Market The components growth propellants dominant trends, existing challenges restrictions opportunities discussed length. The report designed guide business decisions companies research experts look forward market profitable decisions Edge AI Software market. Based unbiased uncompromised research mediated research experts, Edge AI Software market en route thumping growth unparalleled industry returns forecast span, 20202027. For best reader comprehension, report analysts opinion Edge AI Software market likely witness modest growth xx million USD 2020, proceeding reach xx million USD 2027, clocking CAGR xx. The study encompasses profiles major companies operating Edge AI Software Market. Key players profiled report includes: IBM Microsoft Intel Google TIBCO Cloudera Nutanix Foghorn Systems SWIM.AI Anagog Tact.ai Bragi XNOR.AI Octonion Veea Imagimob We Have Recent Updates Edge AI Software Market Sample [emailprotected] The global Edge AI Software market estimated register growth valuation xx million US dollars 2020 anticipated gradually optimistic spurt, reaching xx million US dollars 2027. Intensive research suggests global Edge AI Software market likely witness thumping growth forecast span, 202027, ticking robust CAGR xx. Gauging Impact COVID19 Outbreak: Global Edge AI Software Marketo Considering sudden unprecedented onset global pandemic triggered COVID19, realtime market research presentation dedicated specific section report, elaborating massive implications COVID19 Edge AI Software market.o The impact virus reflected potential damage businesses industries sudden holistic lockdown businesses jeopardy.o Market participants derive workable insights necessary cues potential damage control practices regional global players leverage offset impact COVID19.o Additionally, report Edge AI Software market takes consideration unique sudden outbreak COVID19 wrecked damaging implications holistic growth trail global Edge AI Software market. By product type, market primarily split Software Tools Platforms By endusersapplication, report covers following segments Autonomous Vehicles Access Management Video Surveillance Remote Monitoring Predictive Maintenance Telemetry Others Browse Full Report Facts Figures Edge AI Software Market Report @ Reasons Investment Report A thorough study dynamic segmentation Edge AI Software market A complete analysis Edge AI Software market A holistic review vital market alterations developments Concrete tangible alterations market dynamics Notable growth friendly activities leading players A complete review historical, current potential foreseeable growth projections concerning volume value A clear perspective governing competition spectrum regional global levels thoroughly influence future ready business discretion Regional Analysis Market 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 Do You Have Any Query Specific Requirement? Ask Our Industry [emailprotected] What Expect Edge AI Software Market Report The report surveys makes optimum forecast pertaining market volume value estimation A thorough evaluation investigate material sources downstream purchase developments echoed report This report aims holistically characterize classify Edge AI Software market superlative reader understanding Elaborate references purchaser needs, barrier analysis opportunity assessment ingrained : 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 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 News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes | 2,020 | [
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https://techcrunch.com/2020/01/27/4-days-left-to-save-150-on-tickets-to-tc-sessions-robotics-ai-2020/ | 2020-01-27T00:00:00 | en | 4 days left to save $150 on tickets to TC Sessions: Robotics + AI 2020 – TechCrunch |
4 days left to save $150 on tickets to TC Sessions: Robotics + AI 2020 – TechCrunch
4 days left to save $150 on tickets to TC Sessions: Robotics + AI 2020
Emma Comeau
11 hours
The countdown to savings continues, and you have just four days left to score the best price on tickets to TC Sessions: Robotics + AI 2020. Join 1,500 of the brightest minds and innovators in robotics and machine learning — technologists, founders, investors, engineers and researchers. Buy an early-bird ticket now before prices go up on January 31, and you’ll keep $150 in your pocket. Why spend more when you don’t have to?
Get ready for a full day focused on the future of two technologies with the potential to change everything about the way we live. We have an outstanding lineup of speakers, interviews and panel discussions covering a range of topics. And of course, plenty of demos, too.
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Here’s a just sample of what’s on tap:
Saving Humanity from AI: Stuart Russell, a UC Berkeley professor and AI authority argues in his acclaimed new book, “Human Compatible,” that AI will doom humanity unless technologists fundamentally reform how they build AI algorithms.
Bringing Robots to Life: This summer’s Tokyo Olympics will be a huge proving ground for TRI-AD (Toyota Research Institute – Advanced Development). TRI-AD’s CEO James Kuffner and its VP of Robotics, Max Bajracharya will join us to discuss the department’s plans for assistive robots and self-driving cars.
There’s plenty more waiting for you, including the finalists of our first Pitch Night. This group of intrepid robotics and AI startup founders made the cut (10 teams will pitch the night before the conference at a private event). The finalists will pitch again at the conference from the Main Stage. Think your startup has what it takes to throw down in a pitch-off? We’re accepting applications until February 1. Talk about a once-in-a-lifetime opportunity for focused exposure — apply right here today!
TC Sessions: Robotics + AI 2020 draws the top people in the industry, which makes it prime networking territory. Whether you’re looking for funding, hunting for the perfect startup to add to your portfolio or searching for the next generation of engineers, this is where you need to be. Come work it to your advantage.
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Is your company interested in sponsoring or exhibiting at TC Sessions: Robotics & AI 2020? Contact our sponsorship sales team by filling out this form.
| 4 days left to save $150 on tickets to TC Sessions: Robotics + AI 2020 | 4 days left save 150 tickets TC Sessions: Robotics AI 2020 TechCrunch 4 days left save 150 tickets TC Sessions: Robotics AI 2020 Emma Comeau 11 hours The countdown savings continues, days left score best price tickets TC Sessions: Robotics AI 2020. Join 1,500 brightest minds innovators robotics machine learning technologists, founders, investors, engineers researchers. Buy earlybird ticket prices January 31, youll 150 pocket. Why spend dont to? Get ready day focused future technologies potential change way live. We outstanding lineup speakers, interviews panel discussions covering range topics. And course, plenty demos, too. We wont parrot hype, either. Our editors ask hard questions, conference agenda includes discussions ethics ramifications inherent potent technologies. Heres sample whats tap: Saving Humanity AI: Stuart Russell, UC Berkeley professor AI authority argues acclaimed new book, Human Compatible, AI doom humanity technologists fundamentally reform build AI algorithms. Bringing Robots Life: This summers Tokyo Olympics huge proving ground TRIAD Toyota Research Institute Advanced Development. TRIADs CEO James Kuffner VP Robotics, Max Bajracharya join discuss departments plans assistive robots selfdriving cars. Theres plenty waiting you, including finalists Pitch Night. This group intrepid robotics AI startup founders cut 10 teams pitch night conference private event. The finalists pitch conference Main Stage. Think startup takes throw pitchoff? Were accepting applications February 1. Talk onceinalifetime opportunity focused exposure apply right today TC Sessions: Robotics AI 2020 draws people industry, makes prime networking territory. Whether youre looking funding, hunting perfect startup add portfolio searching generation engineers, need be. Come work advantage. TC Sessions: Robotics AI 2020 takes place Berkeley March 3, weve packed lot value opportunity day. Make remember, youll save 150 buy earlybird ticket prices January 31. Is company interested sponsoring exhibiting TC Sessions: Robotics AI 2020? sponsorship sales team byfilling form. | 2,020 | [
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https://venturebeat.com/2020/07/30/buildots-raises-16-million-to-automate-construction-site-reporting-with-ai/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-07-30T00:00:00 | en | Buildots raises $16 million to automate construction site reporting with AI | VentureBeat |
Buildots raises $16 million to automate construction site reporting with AI | VentureBeat
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Buildots raises $16 million to automate construction site reporting with AI
Kyle Wiggers@Kyle_L_Wiggers July 30, 2020 5:00 AM
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Data-driven construction reporting company Buildots this week announced it has raised $16 million, a combination of a $3 million seed round and a $13 million series A. Cofounder Roy Danon says the funds will be used to scale and improve the company’s products as Buildots expands to new regions around the world.
Large construction projects — which some countries have allowed to continue during the pandemic — still rely on project managers to keep tedious manual records. These managers are often responsible for keeping tabs on countless tasks, in addition to tracking the progress of dozens (or more) contractors. Some analysts say the intractable logistical challenges lead 98% of large projects to suffer cost overruns of more than 30%. Making matters worse, 77% are estimated to be at least 40% late.
McKinsey claims improvements to “basic” project-management skills have the most potential to improve site performance. That’s what Buildots purports to offer — with a technological twist. The U.K.- and Israel-based company, which was founded in 2018 by Danon, Aviv Leibovici, and Yakir Sundry, all graduates of the Israeli Defense Forces’ Talpiot unit, aims to provide a solution that turns construction sites into fully digitized environments.
Buildots customers volunteer access to schedules and designs, after which an AWS-hosted engine maps all files to generate a construction program. The company delivers 360-degree cameras that can be mounted to construction hard hats and capture video Buildots’ algorithms automatically analyze, aggregate, and compare to determine the status of construction activity.
Buildots’ AI detects camera wearers’ locations at any given physical point — in the event they miss an area, the system flags it so they’re able to cover it on their next inspection. According to Danon, the algorithms have learned to recognize construction sites by training on an enormous amount of data, and they’re also augmented with manual analysis during the initial weeks of a project.
Through online dashboards, emails, and SMS, construction teams receive reports and insights regarding aspects of processes. A project view shows a completion percentage next to tracked jobs and identifies the most urgent issues, including partially finished activities and potential errors (for example, an electricity socket installed a few inches from where it should be). Buildots’ analysts optionally run additional queries and reports for insights into each site and company.
To protect privacy, Buildots says it automatically blurs out people, device screens, and documents. For European clients, the company stores and processes data on servers within the EU to fully adhere to personal data and security regulations.
Buildots competes with companies like HoloBuilder and OpenSpace, which similarly offer camera-based, AI-powered construction site reporting solutions. But Buildots says it counts among its clients two of the 10 largest construction companies in Europe, as well as the largest Israeli construction firm. Buildots plans to make its product available in the U.S. in the next year.
TLV Partners led the funding rounds in Buildots, with participation from Innogy Ventures, Tidhar Construction Group, and individual investors Ziv Aviram, Zvika Limon, Benny Schnaider, Avigdor Willenz, and Gil Geva. The company has 35 employees across its offices.Sign up for Funding Weekly to start your week with VB's top funding stories.
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Robots, AI, and the road to a fully autonomous construction industry
Khari Johnson April 23, 2020 6:08 AM
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| Buildots raises $16 million to automate construction site reporting with AI | Buildots raises 16 million automate construction site reporting AI VentureBeat VentureBeat Home The Machine GamesBeat Jobs Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Buildots raises 16 million automate construction site reporting AI Kyle Wiggers July 30, 2020 5:00 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: Buildots VB Transform Watch session AI event year OnDemand Watch Now Datadriven construction reporting company Buildots week announced raised 16 million, combination 3 million seed round 13 million series A. Cofounder Roy Danon says funds scale improve companys products Buildots expands new regions world. Large construction projects countries allowed continue pandemic rely project managers tedious manual records. These managers responsible keeping tabs countless tasks, addition tracking progress dozens contractors. Some analysts intractable logistical challenges lead 98 large projects suffer cost overruns 30. Making matters worse, 77 estimated 40 late. McKinsey claims improvements basic projectmanagement skills potential improve site performance. Thats Buildots purports offer technological twist. The U.K. Israelbased company, founded 2018 Danon, Aviv Leibovici, Yakir Sundry, graduates Israeli Defense Forces Talpiot unit, aims provide solution turns construction sites fully digitized environments. Buildots customers volunteer access schedules designs, AWShosted engine maps files generate construction program. The company delivers 360degree cameras mounted construction hard hats capture video Buildots algorithms automatically analyze, aggregate, compare determine status construction activity. Buildots AI detects camera wearers locations given physical point event miss area, flags theyre able cover inspection. According Danon, algorithms learned recognize construction sites training enormous data, theyre augmented manual analysis initial weeks project. Through online dashboards, emails, SMS, construction teams receive reports insights aspects processes. A project view shows completion percentage tracked jobs identifies urgent issues, including partially finished activities potential errors example, electricity socket installed inches be. Buildots analysts optionally run additional queries reports insights site company. To protect privacy, Buildots says automatically blurs people, device screens, documents. For European clients, company stores processes data servers EU fully adhere personal data security regulations. Buildots competes companies like HoloBuilder OpenSpace, similarly offer camerabased, AIpowered construction site reporting solutions. But Buildots says counts clients 10 largest construction companies Europe, largest Israeli construction firm. Buildots plans product available U.S. year. TLV Partners led funding rounds Buildots, participation Innogy Ventures, Tidhar Construction Group, individual investors Ziv Aviram, Zvika Limon, Benny Schnaider, Avigdor Willenz, Gil Geva. The company 35 employees offices.Sign Funding Weekly start week VBs funding stories. Score lifetime access stock image library 29 Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 Redefine remote work massive power bank Learn character drawing Marvel DreamWorks artists training Make presentation pop premium illustration builder Boost productivity 8 amazing deals Get online business running 7 great deals View deals store Robots, AI, road fully autonomous construction industry Khari Johnson April 23, 2020 6:08 AM VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. . | 2,020 | [
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https://venturebeat.com/2020/01/06/why-explainable-ai-is-a-critical-business-strategy-vb-live/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-01-06T00:00:00 | en | Why explainable AI is a critical business strategy (VB Live) | VentureBeat |
Why explainable AI is a critical business strategy (VB Live) | VentureBeat
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AI
VB Live Why explainable AI is a critical business strategy (VB Live)
VB Staff January 6, 2020 4:10 AM
Image Credit: Getty Images
Presented by Dataiku
Not only do customers care whether AI results are explainable, but internally, white-box AI is less risky. But what does it mean in practice? And how can businesses move away from black-box systems to more explainable AI? Learn how white box AI brings value and more when you join this VB Live event.
Register here for free.
“It’s pretty obvious that when you don’t understand how a decision or process is made, you run the risk of making a bad decision,” says Triveni Gandhi, data scientist at Dataiku. “You can’t just expect a model to be magical and be correct every time. You need to make sure that the decisions it’s making are aligned with your stated goals, both in an ethical way and as far as underlying business value.”
“Black box AI” refers to opaque machine learning algorithms that offer few to no clear clues about how they’ve come to the conclusions they produce. Users input data, the system generates an answer, and the path between the two is inscrutable. Researchers are now shining a light on the unconscious inherent biases in the data fed to AI systems that are programmed by fallible humans. AI has produced stunning results, but it has also led to surprising failures — see the very public recent controversy around the Apple Credit card, for instance.
The impact of black box decisions is particularly stark in the financial and health care industries, Ghandi points out.
“In these heavily regulated fields like finance, health care, and insurance, the black box model can be very problematic,” she says. “There’s a lot of regulation in these industries, and not a lot of transparency around why decisions are made — why was a loan denied, or why was an insurance premium raised?” That can lead to trouble with regulators.
In the medical field, image detection might be able to pinpoint a probable tumor, but at the same time, a doctor can’t simply call the patient in and deliver the news; they need to understand the reasons why the AI has determined that a spot on the image is cancer, so that the doctor can communicate with certainty to the patient.
The whole idea of white box modeling falls under this larger umbrella of responsible AI. It’s not just a drive toward being more ethical, but about being able to showcase where decisions are being made and how they’re being made. Making it explainable makes it more acceptable to anyone involved or affected by the algorithm. Plus, it mitigates regulation issues and liability, and improves governance.
The drive toward white box, explainable AI isn’t just lip service, Ghandi says. A number of boot camps and master’s programs are introducing ethical, explainable AI as a track within their programs. The University of San Francisco has a center for data ethics that’s embedded within their broader data science curriculum.
“It’s definitely becoming much more top of mind,” she says. “We’re seeing this shift that wasn’t there before. People are starting to talk about it, and more than just talk about it. They’re trying to find ways to actually implement it and use it, so that they’re making the most of it.”
For companies, it’s just good business. At a governance level, it ensures that it is clear to the entire company why decisions are being made, and for uncovering problematic inputs when a decision ends up being incorrect.
The first step is implementing the kind of models that offer open results and will return variable importance, or feature information. New packages and resources are constantly being developed on how to create explanation and interpretation from a model. Staying up to date and following along with the latest implementations of different mathematical modeling systems that address the black box problem is important.
This opens up the next step in AI collaboration, Ghandi says: democratization. Businesses can implement a unified platform that brings different stakeholders together, so that they’re accessing not only the data that they need, but also each other’s work, enabling collaboration and interaction, which increases democratization.
“The benefits are enormous,” she adds. “It’s about putting people together who have different skill sets to attack a problem collaboratively. You’re allowing people to do what they do best, but also making sure that they’re working together toward a common goal, which then drives a lot of results.”
To learn more about why explainable AI is a powerful business differentiator, the ways white box AI is transforming how businesses work, and more, don’t miss this VB Live event.
Don’t miss out!
Register here for free.
Key takeaways:
How to make the data science process collaborative across the organization
How to establish trust from the data all the way through the model
How to move your business toward data democratization
Speakers:
Triveni Gandhi, Data Scientist, Dataiku
David Fagnan, Director, Applied Science, Zillow Offers
Rumman Chowdhury, Managing Director, Accenture AI
Seth Colaner, AI Editor, VentureBeat
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| Why explainable AI is a critical business strategy (VB Live) | Why explainable AI critical business strategy VB Live VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Support independent journalism Contribute AI VB Live Why explainable AI critical business strategy VB Live VB Staff January 6, 2020 4:10 AM Image Credit: Getty Images Presented Dataiku Not customers care AI results explainable, internally, whitebox AI risky. But mean practice? And businesses away blackbox systems explainable AI? Learn white box AI brings value join VB Live event. free. Its pretty obvious dont understand decision process made, run risk making bad decision, says Triveni Gandhi, data scientist Dataiku. You expect model magical correct time. You need sure decisions making aligned stated goals, ethical way far underlying business value. Black box AI refers opaque machine learning algorithms offer clear clues theyve come conclusions produce. Users input data, generates answer, path inscrutable. Researchers shining light unconscious inherent biases data fed AI systems programmed fallible humans. AI produced stunning results, led surprising failures public recent controversy Apple Credit card, instance. The impact black box decisions particularly stark financial health care industries, Ghandi points out. In heavily regulated fields like finance, health care, insurance, black box model problematic, says. Theres lot regulation industries, lot transparency decisions loan denied, insurance premium raised? That lead trouble regulators. In medical field, image detection able pinpoint probable tumor, time, doctor simply patient deliver news; need understand reasons AI determined spot image cancer, doctor communicate certainty patient. The idea white box modeling falls larger umbrella responsible AI. Its drive ethical, able showcase decisions theyre made. Making explainable makes acceptable involved affected algorithm. Plus, mitigates regulation issues liability, improves governance. The drive white box, explainable AI isnt lip service, Ghandi says. A number boot camps masters programs introducing ethical, explainable AI track programs. The University San Francisco center data ethics thats embedded broader data science curriculum. Its definitely mind, says. Were seeing shift wasnt before. People starting talk it, talk it. Theyre trying ways actually implement use it, theyre making it. For companies, good business. At governance level, ensures clear entire company decisions made, uncovering problematic inputs decision ends incorrect. The step implementing kind models offer open results return variable importance, feature information. New packages resources constantly developed create explanation interpretation model. Staying date following latest implementations different mathematical modeling systems address black box problem important. This opens step AI collaboration, Ghandi says: democratization. Businesses implement unified platform brings different stakeholders together, theyre accessing data need, work, enabling collaboration interaction, increases democratization. The benefits enormous, adds. Its putting people different skill sets attack problem collaboratively. Youre allowing people best, making sure theyre working common goal, drives lot results. To learn explainable AI powerful business differentiator, ways white box AI transforming businesses work, more, dont miss VB Live event. Dont miss free. Key takeaways: How data science process collaborative organization How establish trust data way model How business data democratization Speakers: Triveni Gandhi, Data Scientist, Dataiku David Fagnan, Director, Applied Science, Zillow Offers Rumman Chowdhury, Managing Director, Accenture AI Seth Colaner, AI Editor, VentureBeat Most Read NextMind building realtime brain interface, unveils Dev Kit 399 Pico reveals Neo 2 Eye VR headset eye tracking Boundless XR TypingDNA raises 7 million AI identifies people type Too much, enough: Amazons Echo Studio, Echo Flex, Fire TV Cube U.S. government limits exports AI software UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher. | 2,020 | [
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https://dagorettinews.com/artificial-intelligence-in-security-market-global-industry-outlook-2020-2025-nvidia-ibm-cylance-intel-xilinx-micron-securonix-threatmetrix-acalvio-skycure-sift-science-sparkcognition/ | 2020-04-23T00:00:00 | en | Artificial Intelligence in Security Market – Global Industry Outlook, 2020-2025 | NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation – Dagoretti Market Reports |
Artificial Intelligence in Security Market – Global Industry Outlook, 2020-2025 | NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation – Dagoretti Market Reports
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You are hereHomeApplied SciencesArtificial Intelligence in Security Market – Global Industry Outlook, 2020-2025 | NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation
Applied Sciences Environment Other
Artificial Intelligence in Security Market – Global Industry Outlook, 2020-2025 | NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation
April 23, 2020 Sagar Acalvio, Artificial Intelligence in Security Market, BAE Systems, Cylance, Darktrace, IBM, Intel, Micron, Nvidia, Securonix, Sift Science, Skycure, SparkCognition, Symantec Corporation, ThreatMetrix, Xilinx
”
Global Artificial Intelligence in Security Market Research Report will help Major Players and the new entrants to understand scrutinize the market in detail. This information will encourage the Major Players to decide their business strategy and achieve proposed business aims.
This report studies the Artificial Intelligence in Security market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; also, key Artificial Intelligence in Security Market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, key development in the past five years.
Download Sample PDF of Artificial Intelligence in Security Market Report at https://www.worldwidemarketreports.com/sample/142752
Artificial Intelligence (AI) in Security Market includes identifying and comparing major competitors
NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation, Check Point Software Technologies, Fortinet, Cisco Systems, FireEye, and RSA Security.
Artificial Intelligence in Security Market is a specialized and in-depth study of the Artificial Intelligence in Security industry with a focus on the global market trend. The report provides an overview of global Artificial Intelligence in Security Market with detailed market segmentation by product/application and regions.
The Artificial Intelligence in Security Market report gives a 360-degree holistic view of the market and highlights the key developments, drivers, restraints and future trends with impact analysis of these trends on the market for short-term, mid-term and long-term during the forecast period. In addition, the report also provides profiles of major companies along with detailed SWOT analysis, financial facts and key developments of products/services from the past three years.
The exclusive report on the Artificial Intelligence in Security Market research report has been formulated with the help of extensive primary research (inputs from industry experts, companies, and stakeholders) and secondary research to get a universal view of the market. The report gives in-detailed information across global regions, including North America, Europe, Asia Pacific (APAC), Middle East & Africa (MEA), and South America & Central America (SCAM). We follow an iterative research methodology model to formulate the report that helps decision-makers take sound investment evaluation. Secondary research is carried out using internal and external sources to obtain qualitative and quantitative information of the market backed by the primary interview of KOLs and SME’s. This model negates any drastic deviation in the market estimation and is used to estimate the Artificial Intelligence in Security Market size and forecasts until 2025.
With this Artificial Intelligence in Security markets forecasting report you can:
Understand the size and scope of the top 14 markets
Hear direct from leading companies on their strategies and plans
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Know the key trends within the sector and what’s driving them
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Prepare supply and demand forecasts
Produce internal sales plans and forecasts
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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 complete knowledge of the Artificial Intelligence in Security Market is based on the latest industry news, opportunities, and trends. The keyword Market research report offers a clear insight into the influential factors that are expected to transform the global market in the near future.
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Reason to Buy
Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence in Security Market
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The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence in Security Market, thereby allowing players to develop effective long term strategies.
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation, and industry verticals.
SPEAK TO ANALYST at https://www.worldwidemarketreports.com/speakanalyst/142752
{Customization of the Report-In case of any queries or customization requirements please connect with our Experts by Clicking Here who will ensure that your requirements are met.}
About Worldwide Market Reports:
The in-depth market analysis by some of the most vastly experienced analysts provide our diverse range of clients from across all industries with vital decision making insights to plan and align their market strategies in line with current market trends. Worldwide Market Reports’ well-researched inputs that encompass domains ranging from IT to healthcare enable our prized clients to capitalize upon key growth opportunities and shield against credible threats prevalent in the market in the current scenario and those expected in the near future.
“
Author Recent Posts Sagar Latest posts by Sagar (see all) Artificial Intelligence in Medicine Market Size, Sales, Growth Drivers, Opportunities, Industry Trends And Forecast To 2025 | Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., BioXcel Corporation, Berg Health., InSilico Medicine, Inc., Globavir Biosciences - April 23, 2020 Artificial Intelligence Products Market Recent Trends, Growth Forecast and Outlook to 2025 | Open AI, IBM, NEC, Nuances, Google, Microsoft Corp, Ipsoft, Google, Rocket Fuel Inc, Fingenius Ltd - April 23, 2020 AI (Artificial Intelligence) Speaker Market: Global Industry Analysis and Forecast (2018-2025) - April 23, 2020
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| Artificial Intelligence in Security Market | Artificial Intelligence Security Market Global Industry Outlook, 20202025 NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation Dagoretti Market Reports Skip content Thursday, April 23, 2020 About Contributors Dagoretti Market Reports Science News Reporting Home Industry Growth Market Forecast Market Outlook Market Reports Market Sales Market Share You hereHomeApplied SciencesArtificial Intelligence Security Market Global Industry Outlook, 20202025 NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation Applied SciencesEnvironmentOther Artificial Intelligence Security Market Global Industry Outlook, 20202025 NVIDIA, IBM, Cylance, Intel, Xilinx, Micron, Securonix, ThreatMetrix, Acalvio, Skycure, Sift Science, SparkCognition, Darktrace, BAE Systems, Symantec Corporation April 23, 2020 Sagar Acalvio, Artificial Intelligence Security Market, BAE Systems, Cylance, Darktrace, IBM, Intel, Micron, Nvidia, Securonix, Sift Science, Skycure, SparkCognition, Symantec Corporation, ThreatMetrix, Xilinx Global Artificial Intelligence Security Market Research Reportwill help Major Players new entrants understand scrutinize market detail. 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https://www.computerweekly.com/feature/Storage-analytics-How-AI-helps-storage-management | 2020-08-25T00:00:00 | en | Storage analytics: How AI helps storage management |
Storage analytics: How AI helps storage management
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Storage analytics: How AI helps storage management
We look at storage analytics products that measure key metrics in storage hardware, single-vendor and multi-vendor tools, and how AI-based storage management and AIOps is emerging
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By
Stephen Pritchard
Published: 25 Aug 2020
IT infrastructure spend is expected to decline as a result of the coronavirus pandemic, but that will likely be combined with continued growth in the volume of data, in part driven by greater levels of remote working.
All of this, and the need to get more from smaller budgets, will put pressure on organisations to streamline how they manage their IT. Increasingly, they are turning to automated monitoring for storage management as part of this.
Storage hardware monitoring is now well-established, with tools that gather data on volume usage and equipment performance, but also environmental data, temperature, power consumption and component-level readings from drives. The more advanced tools can make recommendations to optimise performance and utilisation.
“This data is then leveraged by the integrated intelligence of systems to provide insights back to the admin to offer recommendations on how to resolve issues or improve system optimisation, or to provide predictive insights on potential issues before they occur,” says Scott Sinclair, an analyst at ESG.
Over time, analysts expect storage analytics to move from monitoring and early fault detection to autonomous operations.
Hardware vendor tools versus multi-supplier monitoring
Most – but not all – storage analytics tools come from the hardware suppliers, giving IT managers a useful snapshot on the health of their arrays or storage subsystems. But this only gives a limited picture of a complete system or stack, especially when more than one vendor is involved.
“Most storage managers will use the default tools that come with the equipment,” says Andy Buss, at analyst house IDC. “Enterprises have the desire to run centralised tools, but often end up not doing so. They revert to what comes with their equipment.”
More multi-supplier storage monitoring and analysis tools are coming onto the market, partly spurred by a need for firms to manage hybrid environments and partly by the growing use of standardised application programming interfaces (APIs) – especially the representational state transfer (REST) API – for storage.
But using multi-supplier tools involves a trade-off between system-wide visibility and detailed feedback on system performance. Supplier-independent tools do not, as yet, gather sufficient data to optimise every manufacturer’s equipment fully.
“A lot of the new management tools are more multi-vendor capable,” says Buss. “You get a base level of functionality. You don’t get all the bells and whistles, but you do have more control over your entire infrastructure.”
There is growing appetite among IT teams, he says, for a “single pane of glass” to manage infrastructure, including storage. Such systems do come at an additional cost, and companies have been reluctant to pay for them.
But this is changing, in part due to their experience in operating systems such as Azure Stack and Amazon Web Services (AWS) Outposts, which come with sophisticated management built in.
Predictive tools and AIOps
Storage and system analysis tools are also becoming smarter. Hardware and management tool suppliers are turning to advanced analytics, and even artificial intelligence (AI) and deep learning, to improve system performance.
This can involve moving datasets to the most cost-effective storage tier, moving files away from a sub-system that shows signs it might fail, or consolidating data to maximise the balance between capacity utilisation and performance.
Companies are turning to these tools to cope with larger and more complex environments, including those that mix cloud and on-premise resources. AI and machine learning (ML) are increasingly seen as one way – sometimes the only way – to cope with that complexity and deliver IT performance to the business.
According to recent research by analysts ESG, some 23% of companies see AI and ML for system management as a top priority for datacentre modernisation.
“These intelligence features are vital for any IT environment of any significant size,” says ESG’s Scott Sinclair. “Organisations do not have the excess people to spending time continuously optimising every environment as workload usage evolves or to diagnose complex component failures.” Instead, they are turning to systems to do so.
Gartner has called this “AIOps, which stands for “artificial intelligence for IT operations”.
Gartner predicts that by the end of 2025, 40% of new deployments of infrastructure products, including storage and hyper-converged systems, will be AIOps-enabled, up from less than 10% in 2020.
The new tools proactively analyse capacity and performance status, predict potential issues that may cause data services disruption, and provide actionable advice to resolve Level 1 problems enhances storage utilisation efficiency.
Julia Palmer, Gartner vice-president, says: “Storage tools have always delivered on some metrics for capacity and performance, but it was not good enough as it required someone with storage expertise to constantly monitor it. AIOps tools, however, look for anomalies, patterns of consumption and performance trends and correlate it with normal behaviour of the specific customer system and other systems supported by the vendor.”
What’s available?
By bringing together richer data sources and a degree of artificial intelligence, some suppliers claim significant improvements in system performance and availability.
HPE’s InfoSight, for example, is viewed as one of the most advanced. It monitors 100,000 systems and between 30 million and 70 million sensors worldwide for maintenance and performance issues.
InfoSight claims to detect and fix 86% of potential problems without the need for human intervention. As many as 54% of problems picked up by InfoSight are “outside” storage and somewhere else in the stack, the company says. For now, InfoSight only works with HPE Nimble systems, and 3PAR technology.
Virtana – formally Virtual Instruments – is also a leader in system performance management, with a focus on hybrid architecture as well as private cloud.
There are other suppliers in the market too. IBM’s cloud-based Storage Insights, NetApp’s Active HQ and Hitachi Vantara are some of the best known.
Microsoft also has extensive monitoring capabilities in Azure, via REST APIs, as well as through Windows Server, where that platform is used to run storage-dense server hardware. VMWare also has its toolsets for virtualised environments, through its intelligent optimisation tools for vSAN.
Together these applications give CIOs powerful tools to monitor and optimise their environments, as well as prevent failures.
Smarter systems, smarter storage
The industry is, however, still at an early stage on its journey to intelligent, device-independent storage management.
Areas of growth are likely to include more support for hybrid environments, more granular management of the different types of flash storage on the market, and potentially support for capacity-based pricing. Tools such as Virtana and vSAN can already take account of data ingress and egress costs.
“The predictive capabilities in some of these systems is really amazing,” says ESG’s Sinclair. “Intelligent systems typically offer recommendations to optimise system performance or capacity, while some even offer the option to self-optimise.”
“In a similar fashion, these systems can also often automatically diagnose issues and recommend actions. It’s difficult to make claims on predictive capabilities, because the results can change based on the environment. But some vendors rely on these capabilities to make higher level claims, such as 100% availability guaranteed for example.”
Whether such claims can be substantiated remains to be seen. It will be easier for suppliers to hit reliability targets in largely monolithic, single vendor environments than for more complex systems.
And reliability and performance metrics will vary depending on the workload and applications. A system that prioritises short-term performance over reliability might not be giving the business what it needs.
As a result, storage analytics will continue to work alongside human analysts, suggests IDC’s Andy Buss. “Systems need to be sustainably reliable,” he says. “For the technology to be accepted, it needs to work as an assistant. Few companies will turn over their IT or storage infrastructure entirely to AI.”
Read more about storage analytics
Five predictive storage analytics features you’ll want to watch for. Predictive storage analytics tools are becoming standard equipment in the enterprise. Get to know the features you’ll need, how they work and their benefits.
AI and predictive analytics are included in many storage offerings. See how this functionality helps automate storage, which features are useful and which products have them.
Read more on Datacentre capacity planning
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| Storage analytics: How AI helps storage management | Storage analytics: How AI helps storage management TechTarget Network Join CW News In Depth Blogs Opinion Videos Photo Stories Premium Content Sign Computer Weeklys daily email RSS IT Management IT leadership CW500 IT architecture IT efficiency Governance Innovation Legislation regulation Operations support Project management Strategy Supplier management Business issues Sponsored Communities Industry Sectors Healthcare IT Charity IT Business services IT Financial services IT Government public sector IT Leisure hospitality IT Manufacturing IT Media entertainment IT Retail IT SME IT Telecoms internet Transport travel IT Utilities IT IT suppliers Technology Topics Datacentre View All Clustering high availability HPC Containers Converged infrastructure Datacentre backup power power distribution Datacentre capacity planning Datacentre cooling infrastructure Disaster recoverysecurity Green IT Performance, monitoring optimisation Systems management DevOps IaaS Server Operating Systems PaaS Virtualisation SaaS Desktop virtualisation platforms Enterprise software View All AI automation Blockchain Business applications Business intelligence Cloud applications Collaboration CRM Database ERP Financial applications HR software Middleware Microservices Windows Mobile Open source Operating systems SOA Software development Software licensing Virtualisation Web software IT Europe Middle East View All IT Benelux IT Germany IT Italy IT Poland IT Russia IT Spain IT Middle East IT Turkey IT France IT Nordics Information Management View All Big data Business intelligence analytics BPM Content management Qualitygovernance Data warehousing Database management MDMIntegration IT AsiaPacific View All IT ASEAN IT Australia New Zealand IT India Internet View All Cloud Ecommerce Internet infrastructure Social media Web development IT skills View All Diversity IT Training Jobs Management skills Technical skills Hardware View All Chips processors Printers Storage Data centre Mobile Networking PC Servers IT security View All Antivirus Secure Coding Application Programming Continuity Cloud security Data Breach ident Management Recovery Endpoint NAC Protection Cybercrime IAM Risk management Network Security Management Data protection Compliance Regulation Standard Requirements Security policy user awareness Web Application Security IT services View All Cloud Consultancy Outsourcing Hosting Offshore Startups Mobile View All Laptop Mobile software Mobile networking Smartphone Tablet Networking View All Datacentre networking Internet Things Mobile Network hardware Network monitoring analysis Network routing switching Network security strategy Network software Softwaredefined networking Telecoms networks broadband communications Unified communications VoIP WAN performance optimisation Wireless Storage View All Cloud storage Containers storage Compliance storage Backup Disaster recovery Flash SSDs Hyperconvergence Object storage Disk systems Softwaredefined storage Storage switches Storage management Storage performance Virtualisation storage Please select category Datacentre Enterprise software IT Europe Middle East Information Management IT AsiaPacific Internet IT skills Hardware IT security IT services Mobile Networking Storage Follow: Laurent stock. Storage analytics: How AI helps storage management We look storage analytics products measure key metrics storage hardware, singlevendor multivendor tools, AIbased storage management AIOps emerging Share item network: By Stephen Pritchard Published: 25 Aug 2020 IT infrastructure spend expected decline result coronavirus pandemic, likely combined continued growth volume data, driven greater levels remote working. All this, need smaller budgets, pressure organisations streamline manage IT. reasingly, turning automated monitoring storage management this. Storage hardware monitoring wellestablished, tools gather data volume usage equipment performance, environmental data, temperature, power consumption componentlevel readings drives. The advanced tools recommendations optimise performance utilisation. This data leveraged integrated intelligence systems provide insights admin offer recommendations resolve issues improve optimisation, provide predictive insights potential issues occur, says Scott Sinclair, analyst ESG. Over time, analysts expect storage analytics monitoring early fault detection autonomous operations. Hardware vendor tools versus multisupplier monitoring Most storage analytics tools come hardware suppliers, giving IT managers useful snapshot health arrays storage subsystems. But gives limited picture complete stack, especially vendor involved. Most storage managers use default tools come equipment, says Andy Buss, analyst house IDC. Enterprises desire run centralised tools, end so. They revert comes equipment. More multisupplier storage monitoring analysis tools coming market, partly spurred need firms manage hybrid environments partly growing use standardised application programming interfaces APIs especially representational state transfer REST API storage. But multisupplier tools involves tradeoff systemwide visibility detailed feedback performance. Supplierindependent tools not, yet, gather sufficient data optimise manufacturers equipment fully. A lot new management tools multivendor capable, says Buss. You base level functionality. You dont bells whistles, control entire infrastructure. There growing appetite IT teams, says, single pane glass manage infrastructure, including storage. Such systems come additional cost, companies reluctant pay them. But changing, experience operating systems Azure Stack Amazon Web Services AWS Outposts, come sophisticated management built in. Predictive tools AIOps Storage analysis tools smarter. Hardware management tool suppliers turning advanced analytics, artificial intelligence AI deep learning, improve performance. This involve moving datasets costeffective storage tier, moving files away subsystem shows signs fail, consolidating data maximise balance capacity utilisation performance. Companies turning tools cope larger complex environments, including mix cloud onpremise resources. AI machine learning ML increasingly seen way way cope complexity deliver IT performance business. According recent research analysts ESG, 23 companies AI ML management priority datacentre modernisation. These intelligence features vital IT environment significant size, says ESGs Scott Sinclair. Organisations excess people spending time continuously optimising environment workload usage evolves diagnose complex component failures. Instead, turning systems so. Gartner called AIOps, stands artificial intelligence IT operations. Gartner predicts end 2025, 40 new deployments infrastructure products, including storage hyperconverged systems, AIOpsenabled, 10 2020. The new tools proactively analyse capacity performance status, predict potential issues cause data services disruption, provide actionable advice resolve Level 1 problems enhances storage utilisation efficiency. Julia Palmer, Gartner vicepresident, says: Storage tools delivered metrics capacity performance, good required storage expertise constantly monitor it. AIOps tools, however, look anomalies, patterns consumption performance trends correlate normal behaviour specific customer systems supported vendor. Whats available? By bringing richer data sources degree artificial intelligence, suppliers claim significant improvements performance availability. HPEs InfoSight, example, viewed advanced. It monitors 100,000 systems 30 million 70 million sensors worldwide maintenance performance issues. InfoSight claims detect fix 86 potential problems need human intervention. As 54 problems picked InfoSight outside storage stack, company says. For now, InfoSight works HPE Nimble systems, 3PAR technology. Virtana formally Virtual Instruments leader performance management, focus hybrid architecture private cloud. There suppliers market too. IBMs cloudbased Storage Insights, NetApps Active HQ Hitachi Vantara best known. Microsoft extensive monitoring capabilities Azure, REST APIs, Windows Server, platform run storagedense server hardware. VMWare toolsets virtualised environments, intelligent optimisation tools vSAN. Together applications CIOs powerful tools monitor optimise environments, prevent failures. Smarter systems, smarter storage The industry is, however, early stage journey intelligent, deviceindependent storage management. Areas growth likely include support hybrid environments, granular management different types flash storage market, potentially support capacitybased pricing. Tools Virtana vSAN account data ingress egress costs. The predictive capabilities systems amazing, says ESGs Sinclair. Intelligent systems typically offer recommendations optimise performance capacity, offer option selfoptimise. In similar fashion, systems automatically diagnose issues recommend actions. Its difficult claims predictive capabilities, results change based environment. But vendors rely capabilities higher level claims, 100 availability guaranteed example. Whether claims substantiated remains seen. It easier suppliers hit reliability targets largely monolithic, single vendor environments complex systems. And reliability performance metrics vary depending workload applications. A prioritises shortterm performance reliability giving business needs. As result, storage analytics continue work alongside human analysts, suggests IDCs Andy Buss. Systems need sustainably reliable, says. For technology accepted, needs work assistant. Few companies turn IT storage infrastructure entirely AI. Read storage analytics Five predictive storage analytics features youll want watch for. Predictive storage analytics tools standard equipment enterprise. Get know features youll need, work benefits. AI predictive analytics included storage offerings. See functionality helps automate storage, features useful products them. Read Datacentre capacity planning 6 storage resource management tools offer insights, optimization By: RobertSheldon HPE goes NVMe storage Primera, SCM Nimble By: GarryKranz HPE Primera storage makes Synergy, Composable Rack intelligent By: RobertSheldon What Pivot3 Acuity Intelligence Engine AI automation? By: RobertSheldon Latest News My computer: Making leap IT career Intels DAOS tops IO500 speed challenge HPC storage Nordic startups send message global investment community View All News Download Computer Weekly In The Current Issue: Loan charge MPs urge chancellor HMRC soften contractor settlements How IT staff safe needed onsite The Security Interviews: What CISOs learn Covid19 Download Current Issue Latest Blog Posts Towards Post Covid Skills Policy When IT Meets Politics Tableau sets table neater data preparation CW Developer Network View All Blogs Related Content HPE hails progress AI build autonomous ... HPE InfoSight automates customer support 3PAR Storage IBM adds deduplication Spectrum Virtualize, ... Start conversation 0comments Send notifications members comment. Add My Comment I agree TechTargets Terms Use, , transfer information United States processing provide relevant information described . Please check box want proceed. I agree information processed TechTarget Partners contact phone, email, means information relevant professional interests. I unsubscribe time. Please check box want proceed. Forgot password? Forgot password? No problem Submit email address below. Well send email containing password. Submit Your password sent to: Please create username comment. Oldest Newest ADS BY GOOGLE Latest TechTarget resources CIO Security Networking Data Center Data Management CIO Use VR AR enterprise increases pandemic VR AR equipment showing significant promise wake COVID19 pandemic. Here experts share companies ... How maintain cybersecurity remotely pandemic In second 2020 MIT Sloan CIO Digital Learning Series, panel IT security leaders discussed keeping ... Your chief digital officer afterthought anymore As adjust new normal, digital experience company provides important ever. Companies need ... Security Zerotrust use cases highlight benefits misconceptions For organizations, zero trust remains abstract security idea. Zerotrust use cases demonstrate concepts realworld ... FBI CISA issue vishing campaign warning The FBI CISA issued joint advisory related vishing campaign began midJuly, numerous attacks ... The 7 elements enterprise cybersecurity culture An effective human firewall prevent mitigate threats enterprises face today. Adopt seven elements a... Networking 12 common network protocols functions explained Networking makes internet work, succeed protocols. Common network protocols functions key for... Arista charge premium CloudVision service Aristas CloudVision service higher subscription price onpremises version. The vendor says new ... 3 SDWAN cloud connectivity options explore Enterprises connect SDWAN infrastructure cloud providers platforms methods: backtoback access, ... DataCenter IBM quantum reaches quantum volume 64 IBMs quantum technology continued march forward, announcing quantum computers achieved quantum volume 64, ... Adjust 4 server BIOS settings improve performance You configure BIOS settings productivity servers, highperformance settings increase power ... Singlesocket servers offer cost, utilization benefits admins Different server types bring advantages processing speed, memory availability overall cost. See single ... DataManagement Why consider machine learning data catalog A machine learning data catalog benefit enterprise variety ways, increasing access necessary data ... Elastic 7.9 platform improves data observability Elastic updated platform new unified agent collecting data different sources newly enhanced view ... Google enhances Cloud Spanner databases Google adding series enhancements cloud database portfolio, new capabilities Bigtable data store, ... Meet The Editors Us Our Use Advertisers Business Partners Media Kit Corporate Site Contributors Reprints Answers EProducts Events In Depth Guides Opinions Quizzes Photo Stories Tips Tutorials Videos Computer Weekly Topics , 2000 2020, TechTarget Do Not Sell My Personal Info Close | 2,020 | [
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https://www.devdiscourse.com/article/international/838600-google-ceo-calls-for-regulation-of-artificial-intelligence | 2020-01-20T00:00:00 | en | Google CEO calls for regulation of artificial intelligence |
Google CEO calls for regulation of artificial intelligence
Select EditionPacificSouth AsiaEast and South East AsiaEurope and Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East and North AfricaNorth America Latin America and Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Contact Us NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE Agro-Forestry Art & Culture Technology Economy Education Energy Politics Law & Governance Health Science Social Sports Transport Urban Development WASH
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Google CEO calls for regulation of artificial intelligence
PTI |
London |
Updated: 20-01-2020 18:15 IST
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Created: 20-01-2020 17:57 IST
Image Credit: Flickr
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 US 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. Vestager has in previous years hit the Silicon Valley giant with multibillion-dollar fines for allegedly abusing its market dominance to choke off competition. After being reappointed for a second term last autumn with expanded powers over digital technology policies, Vestager has now set her sights on artificial intelligence and is drawing up rules on its ethical use.
Pichai's comments suggest the company may be hoping to head off a broad-based crackdown by the EU on the technology. Vestager and the EU have been among the more aggressive regulators of big tech firms, an approach U.S. authorities have picked up with investigations into the dominance of companies like Google, Facebook, and Amazon. "Sensible regulation must also take a proportionate approach, balancing potential harms with social opportunities," he said, adding that it could incorporate existing standards like Europe's tough General Data Protection Regulation rather than starting from scratch.
While it promises big benefits, he raised concerns about potential downsides of 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.
(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.) Download The Devdiscourse News App for Latest News.
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| Google CEO calls for regulation of artificial intelligence | Google CEO calls regulation artificial intelligence Select EditionPacificSouth AsiaEast South East AsiaEurope Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East North AfricaNorth America Latin America Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Us NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE AgroForestry Art Culture Technology Economy Education Energy Politics Law Governance Health Science Social Sports Transport Urban Development WASH Home News Technology Article Google CEO calls regulation artificial intelligence PTI London Updated: 20012020 18:15 IST Created: 20012020 17:57 IST Image Credit: Flickr 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 US start drawing approaches regulation, international alignment eventual rules critical. He provide specific proposals. Pichai spoke day scheduled meet EUs powerful competition regulator, Margrethe Vestager. 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. This story edited Devdiscourse staff autogenerated syndicated feed. Download The Devdiscourse News App Latest News. 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https://www.wfmz.com/news/pr_newswire/pr_newswire_technology/clarifai-evolves-its-industry-leading-computer-vision-platform-with-natural-language-processing/article_285a3cd2-e116-58d6-82a4-811e78f33b3f.html | 2020-07-15T00:00:00 | en | Clarifai evolves its industry-leading computer vision platform with natural language processing | News | wfmz.com |
Clarifai evolves its industry-leading computer vision platform with natural language processing | News | wfmz.com
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Clarifai evolves its industry-leading computer vision platform with natural language processing
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Jul 15, 2020
14 min ago
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NEW YORK, July 15, 2020 /PRNewswire/ -- Clarifai, a leading independent artificial intelligence (AI) company announces the addition of Natural Language Processing (NLP) to its Computer Vision (CV) AI platform. The combination of NLP and CV offers enterprises an end-to-end AI platform for image, video and now text."Clarifai has been a leader in computer vision ever since winning ImageNet in 2013", said Matt Zeiler, CEO of Clarifai. "Now we've applied that same state-of-the-art expertise to NLP text classification and visual text recognition - consolidating computer vision and NLP into a single, multi-modal enterprise platform with a unified approach to the end-to-end AI lifecycle."Clarifai's new text classification and visual text recognition NLP models offer organizations the ability to detect, understand, and classify blocks of text to extract meaning. The models can be used in a wide range of scenarios, from topic analysis, to moderating user-generated content, analyzing online sentiment and improving chatbot efficiency. Text and image-based visual recognition models can also be combined within multi-modal workflows that automate business processes.Clarifai is pushing the boundaries of AI modeling and research. Its team of researchers and engineers remain committed to both transforming the way people and AI come together and having a measurable impact on organizational and business efficiency.Learn more about Clarifai's Natural Language Processing solution at https://www.clarifai.com/natural-language-processing or get a free API key at https://portal.clarifai.com/signup. Visit https://www.clarifai.com/ for more information.About ClarifaiClarifai is a leading artificial intelligence company that excels in computer vision and natural language processing to solve real-world problems. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai offers the fastest platform for the end-to-end AI lifecycle, the easiest UIs, and the best solutions to the most important AI-powered use cases. Our customers worldwide trust us to gain valuable insights from their images, videos, and documents. Clarifai, headquartered in New York City, has raised $40M from top technology investors and is continuing to grow with more than 80 employees across its offices in New York City, San Francisco, Washington, D.C. and Tallinn, Estonia. For more information, please visit www.clarifai.com.
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| Clarifai evolves its industry-leading computer vision platform with natural language processing | Clarifai evolves industryleading vision platform natural language processing News Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Election Results Lehigh Valley Berks Regional US World Sunrise Inside Your Town Espanol In Case You Missed It Recalls 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 Things Do Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Things Do What Tech? 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The combination NLP CV offers enterprises endtoend AI platform image, video text.Clarifai leader vision winning ImageNet 2013, said Matt Zeiler, CEO ofClarifai. Now weve applied stateoftheart expertise NLP text classification visual text recognition consolidating vision NLP single, multimodal enterprise platform unified approach endtoend AI lifecycle.Clarifais new text classification visual text recognition NLP models offer organizations ability detect, understand, classify blocks text extract meaning. The models wide range scenarios, topic analysis, moderating usergenerated content, analyzing online sentiment improving chatbot efficiency. Text imagebased visual recognition models combined multimodal workflows automate business processes.Clarifai pushing boundaries AI modeling research. Its team researchers engineers remain committed transforming way people AI come measurable impact organizational business efficiency.Learn Clarifais Natural Language Processing solution free API key Visit information.About ClarifaiClarifai leading artificial intelligence company excels vision natural language processing solve realworld problems. Founded 2013 Matt Zeiler, Ph.D., Clarifai market leader AI winning places image classification 2013 ImageNet Challenge. Clarifai offers fastest platform endtoend AI lifecycle, easiest UIs, best solutions important AIpowered use cases. Our customers worldwide trust gain valuable insights images, videos, documents. Clarifai, headquartered New York City, raised 40M technology investors continuing grow 80 employees offices New York City, San Francisco, Washington, D.C. Tallinn, Estonia. For information, visit 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. 69 News morning NETCAST 71520 Facebook Twitter YouTube Instagram Email Right Now 77 Clear Humidity: 64 Cloud Coverage:19 Wind: 5 mph UV Index: 10 Very High Sunrise: 05:44:51 AM Sunset: 08:30:52 PM Today Mostly sunny, warm bit humid. Tonight Mostly clear early, increasing clouds late. Tomorrow Times clouds sunshine; shower tstorm late day especially night. 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] | 1 | POSITIVE | 679 |
https://www.bccourier.com/forecast-report-for-cancer-diagnostics-market-research-report-2020-top-companies-c-r-bard-inc-ge-healthcare-becton-dickinson-and-company-abbott-roche/ | 2020-06-21T00:00:00 | en | Forecast Report for Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard Inc., GE Healthcare, Becton Dickinson and Company, Abbott, Roche – Bandera County Courier |
Forecast Report for Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard Inc., GE Healthcare, Becton Dickinson and Company, Abbott, Roche – Bandera County Courier
Sunday, June 21 2020
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Forecast Report for Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard Inc., GE Healthcare, Becton Dickinson and Company, Abbott, Roche
Dustin Spieth
June 21, 2020
Global Cancer Diagnostics Market analysis 2015-2027, is a research report that has been compiled by studying and understanding all the factors that impact the market in a positive as well as negative manner. Some of the prime factors taken into consideration are: various rudiments driving the market, future opportunities, restraints, regional analysis, various types & applications, Covid-19 impact analysis and key market players of the Cancer Diagnostics market. [email protected] or call us on +1-312-376-8303.
Download Report from: https://www.cognitivemarketresearch.com/medical-devices–consumables/cancer-diagnostics-market-report
Global Cancer Diagnostics Market: Product analysis: Diagnostic Reagent, Diagnostic Instrument
Global Cancer Diagnostics Market: Application analysis: Breast Cancer, Lung Cancer, Colorectal Cancer, Melanoma, Other Cancers
Major Market Players with an in-depth analysis: C.R. Bard Inc., GE Healthcare, Becton Dickinson and Company, Abbott, Roche, Thermo Fisher Scientific, Agilent Technologies, Siemens Healthcare, Illumina
The research is presented in such a way that it consists of all the graphical representations, pie charts and various other diagrammatic representations of all the factors that are used for the research. Cancer Diagnostics market research report also provides information on how the industry is anticipated to provide a highly competitive analysis globally, revenues generated by the industry and increased competitiveness and expansions among various market players/companies.
Get A Free Sample of Cancer Diagnostics Market Report: https://www.cognitivemarketresearch.com/medical-devices–consumables/cancer-diagnostics-market-report#download_report
The Cancer Diagnostics industry is projected in assembling information regarding dynamic approximations and also listings of a profitable progression rate annually in the expected duration according to a recent & latest study. The latest Coronavirus pandemic impact along with graphical presentations and recovery analysis is included in the Cancer Diagnostics research report. The research report also consists of all the latest innovations, technologies and systems implemented in the Cancer Diagnostics industries.
Various factors with all the necessary limitations, expenditure/cost figures, consumer behaviour, supply chain, government policies and all the information related to the market have been included in the Cancer Diagnostics Market report. The research report also provides light on various companies & their competitors, market size & share, revenue, forecast analysis and all the information regarding the Cancer Diagnostics Market.
Checkout Inquiry for Buying or Customization of Report: https://www.cognitivemarketresearch.com/medical-devices–consumables/cancer-diagnostics-market-report#download_report.
Cancer Diagnostics Market research report provides an in-depth analysis of the entire market scenario starting from the basics which is the market introduction till the industry functioning and its position in the market as well as all the projects and latest introductions & implementations of various products. The research study has been assembled by understanding and combining various analysis of regions globally & companies and all necessary graphs and tables that bring the theory into an exact representation through numerical values and standard tables.
The global estimations of the market value, market information/definition, classifications of all the types & applications, overall threats & dips that can be assumed and many other factors which consist the overall market scenario and it’s happening globally along with the forthcoming years are compiled in the Cancer Diagnostics market research report. Hence this report can serve as a handbook/model for the enterprises/players interested in the Cancer Diagnostics Market as it consists all the information regarding the Cancer Diagnostics market.
Any query? Enquire Here For Discount (COVID-19 Impact Analysis Updated Sample): Click Here—> Download Sample Report of Cancer Diagnostics Market Report 2020 (Coronavirus Impact Analysis on Cancer Diagnostics Market)
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.(*If you have any special requirements, please let us know and we will offer you the report as you want.)
About Us: Cognitive Market Research is one of the finest and most efficient Market Research and Consulting firm. The company strives to provide research studies which include syndicate research, customized research, round the clock assistance service, monthly subscription services, and consulting services to our clients. We focus on making sure that based on our reports, our clients are enabled to make most vital business decisions in easiest and yet effective way. Hence, we are committed to delivering them outcomes from market intelligence studies which are based on relevant and fact-based research across the global market.Contact Us: +1-312-376-8303Email: [email protected]: https://www.cognitivemarketresearch.com/
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| Forecast Report for Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard Inc., GE Healthcare, Becton Dickinson and Company, Abbott, Roche | Forecast Report Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard ., GE Healthcare, Becton Dickinson Company, Abbott, Roche Bandera County Courier Sunday, June 21 2020 Trending Global Europe Non Metallic Mineral Products Market Research Report 2020 Growth Projected Grow Sluggish Rate 2027 Post COVID 19 Pandemic Graymont, Lhoist, USLM, Carmeuse, Hebei Longfengshan Global ISM Band Transistors Market Research Report 2020 Expected Grow Moderate Pace 2027 Post COVID 19 Pandemic, Latest Market Research Report Cognitive Market Research Ampleon, Integra Technologies , MACOM, Microsemi, NXP Semiconductors Global Country Specific Platform Load Cell Market Study 2020 Forecast, Opportunities Strategies To 2027: COVID 19 Impact Recovery Top Key Players ZEMIC, Spectris, Vishay Precision, Mettler Toledo, MinebeaMitsumi Global Label Printing Scales Market Survey Witness Steady Growth Till 2027 Post COVID 19 Pandemic, Top Manufactures CAS Corporation, MOTEX, Xiamen Rongta Technology, Globe Food Equipment, Asia Technoweigh India Drivers Restraints Minimalist Watches Market Report 2020 Top Compnaies, Mondaine, NOMOS, THELIONS, Skagen, KOMONO Post COVID 19 Pandemic Global Dialysis Machine Market Research Report 2020 Top Players lude, Nipro, Toray, Baxter, DaVita, Fresenius Forecast Report Instant Payments Market Research Report 2020 Top companies SWIFT, SITRAF, BlueCash, Vocalink, Danske Bank Drivers, Restraints Trends Neonatal ICU Ventilators Market Research Report 2020 Sales Forecast Grow Negatively Western Regio post COVID 19 Impact Analysis Updated Edition Top Players lude, Vyaire Medical, ACUTRONIC, Hamilton Medical, Lowenstein Medical Technology, Dragerwerk June Market Update Kitchen Aluminum Foil Market Research Report 2020 Growth Projected Grow Sluggish Rate 2027 Post COVID 19 Pandemic Reynolds, For Pro, Bakers Chefs, Glad, Oakley L Phenylalanine Market Research Report 2020 Top companies Kyowa Hakko Bio, Ajinomoto, AMINO, Hebei Huayang Biological Technology Co, Wuxi Jinghai Amino Acid Co. Ltd Bandera County Courier Business Health Science Technology World HomeHealthForecast Report Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard ., GE Healthcare, Becton Dickinson Company, Abbott, Roche Health Forecast Report Cancer Diagnostics Market Research Report 2020 Top companies C.R. Bard ., GE Healthcare, Becton Dickinson Company, Abbott, Roche Dustin Spieth June 21, 2020 Global Cancer Diagnostics Market analysis 20152027, research report compiled studying understanding factors impact market positive negative manner. Some prime factors taken consideration are: rudiments driving market, future opportunities, restraints, regional analysis, types applications, Covid19 impact analysis key market players Cancer Diagnostics market. nicolas.shaw 13123768303. Download Report from: Global Cancer Diagnostics Market: Product analysis: Diagnostic Reagent, Diagnostic Instrument Global Cancer Diagnostics Market: Application analysis: Breast Cancer, Lung Cancer, Colorectal Cancer, Melanoma, Other Cancers Major Market Players indepth analysis: C.R. Bard ., GE Healthcare, Becton Dickinson Company, Abbott, Roche, Thermo Fisher Scientific, Agilent Technologies, Siemens Healthcare, Illumina The research presented way consists graphical representations, pie charts diagrammatic representations factors research. Cancer Diagnostics market research report provides information industry anticipated provide highly competitive analysis globally, revenues generated industry increased competitiveness expansions market playerscompanies. 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Checkout Inquiry Buying Customization Report: Cancer Diagnostics Market research report provides indepth analysis entire market scenario starting basics market introduction till industry functioning position market projects latest introductions implementations products. The research study assembled understanding combining analysis regions globally companies necessary graphs tables bring theory exact representation numerical values standard tables. The global estimations market value, market informationdefinition, classifications types applications, overall threats dips assumed factors consist overall market scenario happening globally forthcoming years compiled Cancer Diagnostics market research report. Hence report serve handbookmodel enterprisesplayers interested Cancer Diagnostics Market consists information Cancer Diagnostics market. Any query? Enquire Here For Discount COVID19 Impact Analysis Updated Sample: Click Here> Download Sample Report Cancer Diagnostics Market Report 2020 Coronavirus Impact Analysis Cancer Diagnostics Market Note In order provide accurate market forecast, reports updated delivery considering impact COVID19.If special requirements, let know offer report want. : Cognitive Market Research finest efficient Market Research Consulting firm. The company strives provide research studies include syndicate research, customized research, round clock assistance service, monthly subscription services, consulting services clients. We focus making sure based reports, clients enabled vital business decisions easiest effective way. Hence, committed delivering outcomes market intelligence studies based relevant factbased research global market. Us: 13123768303Email: nicolas.shaw Download Entire Report Facebook Twitter LinkedIn StumbleUpon Reddit Share Email Print Dustin Spieth Related Articles April 23, 2020 9 Global Industrial Air Filtration Market Research Report 2020 COVID19 Pandemic PESTEL Analysis, Growth Rate, New Trend Analysis Forecast 2027 June 17, 2020 2 Drivers Restraints Industrial High Pressure Washers Market Research Report 2020 Top Compnaies lude, Karcher, Nilfisk, Stihl, BriggsStratton, BOSCH June 11, 2020 8 Post COVID 19 Pandemic Global Healthcare Payer Care Management Workflow Applications Software Market Research Report 2020 Top Players lude, Athenahealth, IMD, Aprima, Medsites, Boston Software Systems June 5, 2020 2 Global Bistable Relay Market Expected Grow Moderate Pace 2027 Post COVID 19 Pandemic, Latest Market Research Report Cognitive Market ResearchHengstler GmbH, Mouser, Fujitsu, Cobo Group, GE Industrial Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In | 2,020 | [
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] | 1 | POSITIVE | 680 |
https://rejerusalem.com/65638/artificial-intelligence-robots-market-banking-bps-market-growing-demand-competition-investment-opportunities-forecast/ | 2020-10-12T00:00:00 | en | Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities & Forecast – re:Jerusalem |
Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities & Forecast – re:Jerusalem
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Home/Uncategorized/Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities & Forecast
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Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities & Forecast
sopan
October 12, 2020
Artificial Intelligence Robots Market report studies the size, industry status and forecast, competition landscape and growth opportunity. Artificial Intelligence Robots Market research report categorizes by the companies, region, type, end-user of industry and Many More.
Artificial Intelligence Robots Market research report is generated with a nice blend of industry insight, talent solutions, practical solutions and use of technology to advance user experience. The key research methodology used in this Artificial Intelligence Robots Market report by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Nowadays, businesses get highly benefited with the different segments covered in the market research report which provides better market insights to them with which they can drive the business into right direction.
Get Full PDF Sample Copy of Report (Including Full TOC, List of Tables & Figures, Chart) at https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-robots-market&yog
Artificial Intelligence Robots Market research report analyses key factors of the market that gives precise and accurate data and information which is useful for your business. The scope of this market report extends from market scenarios to comparative pricing between major players, cost and profit of the specified market regions. The data collected to structure Artificial Intelligence Robots Market report is based on the data collection modules with large sample sizes. The market data is analysed and forecasted using well established market statistical and coherent models. No stone is left unturned while preparing Artificial Intelligence Robots Market research report.
Important years considered in the study are:
Historical year – 2014-2019;
Base year – 2019;
Forecast period- 2020 to 2026
If opting for the Global version of Artificial Intelligence Robots Market analysis is provided for major regions as follows:
North America (USA, Canada and Mexico)
Europe (Germany, France, the United Kingdom, Netherlands, Russia , Italy and Rest of Europe)
Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia, rest of countries etc.)
Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)
For Detailed Inquiry of Artificial Intelligence Robots Market Contact us at https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-artificial-intelligence-robots-market&yog
Some of the Major Highlights of TOC covers: Global Artificial Intelligence Robots Market
Chapter 1: Methodology & Scope
Definition and forecast parameters
Methodology and forecast parameters
Data Sources
Chapter 2: Executive Summary
Business trends
Regional trends
Product trends
End-use trends
Chapter 3: Access Control Industry Insights
Industry segmentation
Industry landscape
Vendor matrix
Technological and innovation landscape
Chapter 4: Access Control Market, By Region
Chapter 5: Company Profile
Business Overview
Financial Data
Product Landscape
Strategic Outlook
SWOT Analysis
Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
Get Detailed Table of Content at https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-robots-market&yog
Reason to Buy:
Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Artificial Intelligence Robots Market
Highlights key business priorities in order to assist companies to realign their business strategies.
The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence Robots Market, thereby allowing players to develop effective long term strategies.
Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.
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Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.
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| Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities & Forecast | Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities Forecast re:Jerusalem Monday, October 12 2020 Trending Targeted Delivery Drugs Market Size Share Immunocore, Keystone Nano, ., Lipocine ., Mankind Pharma Graphene Spin Valve Market Will Reflect Significant Growth Prospects US Mn 20202026 Major Key Player: AMG Advanced Metallurgical Group, Applied Graphene Materials, Grafoid, Graphene Square, Haydale Limited, Samsung Electronics Global Random Access Memory Market Comprehensive study key players: SK Hynix , Micron Technology , SamsungElectronics, Nanya Technology Corporation, Winbond Electronics, Powerchip Technology, Intel Corporation, Audio Frequency Transformer Market Growth Status Explored New Research Report: Mouser, Pico, RS Components, Jensen Transformers, Magnetic Components, Pulse Electronics, More Swab Market Analysis Report Copan Diagnostics, ., Medscape, AdvaCare, Strema S.r.l., Blue Manufacturing Company Cable Rectangular Connector Market Industry Insight 20202026 Covered players: TE Connectivity, Amphenol, Molex orporated, Delphi, Hon HaiFoxconn Technology, More Rubidium Clock Oscillator Market Improvement Status 20202026 By Analyzing Performance Various Competitors: IQD Frequency Products, Quartzlock, Jackson Labs Technologies, BRG Precision Products, Chronos Technology Ltd, Mouser, Astronics Corporation, Surgical Robots Market CAGR 14.1 Accuray orporated, Stryker, MEDTRONIC Navigation Satellite Chip Market share forecast witness considerable growth 2020 2026 By Top Leading Vendors like Qualcomm orporated, STMicroelectronics, Intel Corporation, Mediatek , Broadcom Corporation, Furuno Electric, Skyworks Solutions, Quectel Wireless Solutions, More Surgical Retractors Market BD, Stryker, DJO Global, TERUMO CORPORATION Sidebar Log In Random Article re:Jerusalem Business Health Industries International SciTech Publish PRs HomeUncategorizedArtificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities Forecast Uncategorized Artificial Intelligence Robots Market Banking BPS Market Growing Demand, Competition, Investment Opportunities Forecast sopan October 12, 2020 Artificial Intelligence Robots Market report studies size, industry status forecast, competition landscape growth opportunity. 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Data Bridge Market Research US: 1 888 387 2818 UK: 44 208 089 1725 Hong Kong: 852 8192 7475 Corporatesales Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print sopan Related Articles October 10, 2020 3 Soft Gels Market By Covid19 Impact Analysis, Size, Regional Growth, Major Key Players, Technology And Industry Trends Till 2027 October 8, 2020 17 Legal Marijuana Market By Business Growth, Trend, Segmentation, Top Key Players, Revenue Industry Expansion Forecast ReportVIVO Cannabis, Dr. Hemp Me, QC Infusion, Green Roads, Royal CBD, CBD Oil Europe, King CBD October 7, 2020 11 Global Rx Dermatology Topical Drug Delivery Market COVID 19 Updates Overview With Detailed Analysis, Competitive Landscape, Forecast 2026 October 12, 2020 0 Facility Management Market Surprising Growth FMX, Officespace, Apleona, MCS Solutions, Archidata, Emaint, Autodesk FSI FM Solutions Check Also Close Smart Ticketing Market Overview 2020By Major Company Of Product Type, Sales Revenue, Price, Gross Margin, Industry Size Forecast October 10, 2020 By sopan Targeted Delivery Drugs Market Size Share Immunocore, Keystone Nano, ., Lipocine ., Mankind Pharma October 12, 2020 Swab Market Analysis Report Copan Diagnostics, ., Medscape, AdvaCare, Strema S.r.l., Blue Manufacturing Company October 12, 2020 Surgical Robots Market CAGR 14.1 Accuray orporated, Stryker, MEDTRONIC October 12, 2020 Surgical Retractors Market BD, Stryker, DJO Global, TERUMO CORPORATION October 12, 2020 Surgical Lights Market Top Key Players BihlerMED, CV Medical, Getinge AB, Herbert Waldmann GmbH Co. KG October 12, 2020 Surgical Lasers Market Share With CAGR 6.3 Lumenis, Biolase ., IPG Photonics Corporation October 12, 2020 Surgical Glue Market Major Players C. R. Bard, ., Cohera Medical, Integra Lifesciences Corporation October 12, 2020 SUBSTANCE ABUSE AND ADDICTION TREATMENT MARKET OUTLOOK BY 2027 TEVA PHARMACEUTICAL INDUSTRIES LTD, MYLAN N.V. , AXSOME THERAPEUTICS, INC October 12, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In | 2,020 | [
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] | 1 | NEGATIVE | 681 |
https://www.newswise.com/articles/poverty-line-concept-debunked-by-new-machine-learning-model?sc=rsln | 2020-12-18T00:00:00 | en | 'Poverty line' concept debunked by new machine learning model |
'Poverty line' concept debunked by new machine learning model
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'Poverty line' concept debunked by new machine learning model
New mathematical model uses machine learning to challenge conventional notions of a fixed international poverty line
18-Dec-2020 1:05 PM EST,
by Aston University
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Newswise — Mathematicians have used machine learning to develop a new model for measuring poverty in different countries that junks old notions of a fixed 'poverty line'.The study by academics at Aston University, published in the journal Nature Communications, suggests mainstream thinking around poverty is outdated because it places too much emphasis on subjective notions of basic needs and fails to capture the full complexity of how people use their incomes.They say their new model - which uses computer algorithms to synthesise vast amounts of spending and economic data - could help policymakers worldwide predict future poverty levels and plan interventions to alleviate the problem."No-one has ever used machine learning to decode multidimensional poverty before," said lead researcher Dr Amit Chattopadhyay of Aston University's College of Engineering and Physical Sciences. "This completely changes the way people should look at poverty."Established measures of poverty attempt to identify a threshold monetary level below which a person or household is defined as 'poor'. These definitions trace their origins back to methods developed in the 19th and early 20th century by reformers such as Ernst Engel and Seebohm Rowntree.Currently, the World Bank sets the International Poverty Line at US$1.90 per day, with around 10% of the world's population - about 700m people - living on less than this. This is based on a subjective assessment of income needed to cover basic needs in the poorest countries, adjusted for purchasing power parity (PPP).In the new study, the researchers analysed 30 years' worth of data from India, dividing expenditure into three broad categories of 'basic food' such as cereals, 'other food' including meat and 'non-food' covering other spending such as housing and transport costs. The model can be applied to any country.By recognising the 'push-and-pull' interplay between the three categories - more spending in one area usually means a reduction in spending in another -it allows for a more holistic poverty measure that can adjust to the circumstances of individual countries. The researchers combined datasets on incomes, asset and commodity markets from the World Bank and other sources to produce a mathematical model that was able not only to accurately predict past poverty levels in both India and the United States, but also to predict future levels based on certain economic assumptions.By taking account of the elasticity of supply and demand in the market, the model revises the number of people traditionally deemed 'poor' into a more practical 'middle class'. It can be scaled to reflect conditions in sub-regions of a country, or even scaled down to a single city or neighbourhood depending on the available data."Current thinking on poverty is highly subjective, because 'poverty' will mean different things in different countries and regions," added Dr Chattopadhyay. "With this model, we finally have a multi-dimensional poverty index that reflects the real-world experience of people wherever they live and largely independent of the social class they are deemed to belong to."Importantly, it's a model that takes account of the economic circumstances people find themselves in - and the factors that can make the biggest difference to their material wellbeing. As such, it can be an important tool for governments and policymakers globally in identifying poverty and putting in place interventions that really tackle it."###
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0.94004
| 'Poverty line' concept debunked by new machine learning model | Poverty line concept debunked new machine learning model menu search Journalists Members Us Home Sections Latest News Coronavirus News Currently Embargoed News Journal News Medical News Science News Life News Business News Expert Pitch Google Fact Check Research Alert Marketplace News With VideoAudio Multimedia RSS Feeds Section Channels MEDICINE Addiction Aging AIDSHIV Alcohol Alcoholism Allergies Alternative Medicine Alzheimers Dementia Arthritis Asthma Autism See channels SCIENCE Agriculture Archaeology Anthropology Artificial Intelligence Aviation Aeronautics Birds Chemistry Climate Science Cybersecurity Dinosaurs DOE Science News See channels LIFE Arts Entertainment Back School Behavioral Science Brexit Budgets Funding Bullying Civil Liberties Cognition Learning Crime Forensic Science Education See channels BUSINESS Apps Automotive Business Ethics China Economics News Economics Entrepreneurship Greek Debt Crisis See channels JOURNAL NEWS All Journal News Cell journal JAMA Journal Experimental Medicine Nature journal NEJM Neurology journal PLoS One See channels TRENDS AND TOP STORIES Featured: BizWire Featured: DailyWire Featured: LifeWire Featured: MedWire Featured: SciWire Staff Picks Top Clipped Stories Top Hit Stories See channels BY LOCATION Afghanistan News African News China News Cuba News Europe News Germany News Gulf Mexico IndiaPakistan News Iraq News See channels MEETING, GRANTS, AND EVENTS Grant Funded News Medical Meetings Newswise Live Event Progress Newswise Live Expert Spotlight Newswise Live Events Scientific Meetings See channels RSS Wires Archived Wires Daily Wire SciWire MedWire LifeWire BizWire Special Wires Calendar Upcoming Theme Wires Experts Expert Directory Expert Pitch Expert Query Form Fast Pitch Advanced Article About Member Services Newswise Live Invoice Lookup Services Journalists Archived Wires Media rs Sample Effectiveness Reports Our Staff Newswise Blog Newswise Blog Poverty line concept debunked new machine learning model New mathematical model uses machine learning challenge conventional notions fixed international poverty line 18Dec2020 1:05 PM EST, Aston University Edit Institution favorite_border Newswise Mathematicians machine learning develop new model measuring poverty different countries junks old notions fixed poverty line.The study academics Aston University, published journalNature Communications, suggests mainstream thinking poverty outdated places emphasis subjective notions basic needs fails capture complexity people use incomes.They new model uses algorithms synthesise vast amounts spending economic data help policymakers worldwide predict future poverty levels plan interventions alleviate problem.Noone machine learning decode multidimensional poverty before, said lead researcher Dr Amit Chattopadhyay Aston Universitys College Engineering Physical Sciences. This completely changes way people look poverty.Established measures poverty attempt identify threshold monetary level person household defined poor. These definitions trace origins methods developed 19th early 20th century reformers Ernst Engel Seebohm Rowntree.Currently, World Bank sets International Poverty Line US1.90 day, 10 worlds population 700m people living this. This based subjective assessment income needed cover basic needs poorest countries, adjusted purchasing power parity PPP.In new study, researchers analysed 30 years worth data India, dividing expenditure broad categories basic food cereals, food including meat nonfood covering spending housing transport costs. The model applied country.By recognising pushandpull interplay categories spending area usually means reduction spending allows holistic poverty measure adjust circumstances individual countries. The researchers combined datasets incomes, asset commodity markets World Bank sources produce mathematical model able accurately predict past poverty levels India United States, predict future levels based certain economic assumptions.By taking account elasticity supply demand market, model revises number people traditionally deemed poor practical middle class. It scaled reflect conditions subregions country, scaled single city neighbourhood depending available data.Current thinking poverty highly subjective, poverty mean different things different countries regions, added Dr Chattopadhyay. With model, finally multidimensional poverty index reflects realworld experience people live largely independent social class deemed belong to.Importantly, model takes account economic circumstances people factors biggest difference material wellbeing. As such, important tool governments policymakers globally identifying poverty putting place interventions tackle it. SEE ORIGINAL STUDY Request Expert MEDIA CONTACT reporter access contact details CITATIONS Nature Communications TYPE OF ARTICLE Research Results SECTION LIFESCIENCE CHANNELS All Journal News Economics Mathematics Poverty Nature journal KEYWORDS SocialBehavioral Science MathematicsStatistics PovertyWealth COMMENTS COMMENTING POLICY Join Newswise Newswise gives journalists access latest news provides platform universities, institutions, journalists spread breaking news audience. 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https://www.fastcompany.com/90462953/pentagrams-adaptive-identity-for-an-ai-company-may-be-the-most-meta-branding-ever?partner=rss&utm_source=rss&utm_medium=feed&utm_campaign=rss+fastcompany&utm_content=rss | 2020-02-13T00:00:00 | en | Pentagram's adaptive identity for an AI company may be the most meta b | Pentagram's adaptive identity for an AI company may be the most meta b
Fast CompanyFollowCo.DesignTechWork LifeCreativityImpactPodcastsVideoNewsRecommenderSubscribeNewslettersMagazinePodcastsFastCo WorksAC HotelsCitrixFord TransitHomepageCo.DesignTechWork LifeCreativityImpactPodcastsVideoNewsRecommenderSubscribeHelp Centerfastco worksAC HotelsCitrixFord TransitIntuit QuickbooksLenovoMailchimpMcKinsey & CompanyFastCo WorksAn award-winning team of journalists, designers, and videographers who tell brand stories through Fast Company's distinctive lenscollectionsTech ForecastWhat’s next for hardware, software, and servicesMost Innovative CompaniesOur annual guide to the businesses that matter the mostMost Creative PeopleLeaders who are shaping the future of business in creative waysWorld Changing IdeasNew workplaces, new food sources, new medicine--even an entirely new economic systemInnovation By DesignCelebrating the best ideas in businessNewsletterEventsInnovation FestivalThe GrillCourses and LearningAdvertiseCurrent IssueCurrent IssueSUBSCRIBEFollow us:advertisementadvertisement02-13-2011:00 am Pentagram’s adaptive identity for an AI company may be the most meta branding everCheck out this brand ID that can be manipulated on the fly, with an app.
By Lilly Smith3 minute ReadAn adaptive brand identity—basically, a design system that has the flexibility to change depending on context— isn’t entirely new. But Luke Powell and Jody Hudson-Powell of Pentagram’s London office have taken the concept a step further, with an adaptive brand that can be manipulated (within certain parameters) via an app, on the fly, based on what the client needs at any one time.advertisementadvertisementThe partners and their team created this adaptive identity for Berkeley-based company Covariant, which developed a piece of AI software called the Covariant Brain to teach robots new skills in the logistics space. The “how” of this AI learning process starts to get a little in the weeds, but basically, it relies on what the company calls “decision boundaries.”It’s a term you might not be familiar with unless you’re in the field of neuroscience or artificial intelligence, but it essentially describes the inner decision-making process of an artificial neural network (the “robot brain”), and it changes based on external data. According to the company, this particular AI software is unique because it’s “universal,” so that robots can learn in many different settings, whether it’s manufacturing, shipping, or a similar logistics industry.
[Image: courtesy Pentagram]The Pentagram team ran with the concept and took the idea of decision boundaries as a source for design inspiration to develop a dreamy, rather abstract identity grounded in a contrasting pastel-pink-and-blue color palette. It represents the boundaries of that learning process and is carried throughout the brand system. The color palette was extended with whimsical animations by illustrator Geoffroy de Crécy, depicting Covariant robots being used in real-life scenarios.The team took the give-and-take of decision boundaries one step further and developed the Covariant Flow app, so that Covariant could make some design decisions of their own and create a variety of static and moving image assets within the overall parameters of the brand identity that Powell and Hudson-Powell developed. The form, speed, and balance of color between pink and blue can all be manually manipulated depending on its end use.There are two modes, advanced and basic, says Powell. The basic mode restricts the parameters a user can change to the composition’s form (i.e., simple versus complex) and motion (i.e., slow versus active); this mode can produce assets for a range of typical day-to-day brand applications. Say the client wants a more complex animation for the opening slide of a keynote speech, suggests Powell, or a more simplified, slow-looped animation underlaid below text on an Instagram post. This tool allows the client to find the creative boundary for either purpose and just about any in between. If the client should want to take it up a notch, the advanced mode has controls for “each and every variable affecting the way the decision boundary behaves.”[Image: courtesy Pentagram]The team also referenced the “curves, twists, and flow” of the decision boundary concept in the Covariant logo itself: a thin white C that, in its digital application, shape-shifts in a continuous looped animation, like the blurry white space between the various shades of pink behind it. (See a static application in the image above.) The wordmark itself is a “high-contrast geometric grotesque” that draws the eye in a friendly, approachable way, minimizing the association with the whole “AI-enabled robots will take over our lives” kind of thing—a good strategic move for an AI robotics company, I’d say.advertisementOf course, developing an adaptive brand identity as compared to a static set of assets and guidelines à la the standard manuals of days past presents its own unique challenges. “The aim when creating adaptive brands is to make what would have otherwise been a complex solution into a simple and useable one,” says Powell. For Powell, the challenge is that the team has to address a client’s current design needs, skill sets, and workflows—and any future ones. It’s that key understanding that determines the success of an adaptive brand. It can be hard for anyone to predict the future, but it’s safe to say that the field of artificial intelligence is near the forefront of predictive modeling. In its own way, Pentagram is keeping pace.advertisementadvertisementadvertisementTechnology NewsletterSign UpReceive special Fast Company offers.See All NewslettersVideoImpactImpactThere are way more people struggling with poverty in New York than we thinkImpactThis robot trash bin automatically sorts your recyclables for youImpactHow to unleash creativity on the world’s biggest problems, from Alphabet’s moonshot divisionCreativityCreativityThe creative power of blackness and drag, according to Monét X ChangeCreativityI experienced Oprah for the first time on her 2020 live tour. This is what it was likeCreativityNatty Light wants to rent your diploma, but doesn’t really want to solve student debt crisisCo.DesignCo.DesignQatar’s ultramodern World Cup hotels are built to float on waterCo.DesignWant to know if your clothes are ethically sourced? Theory’s new labeling system is for youCo.DesignWho in the heck would want to sleep over in an Ikea?!?Work LifeWork LifeWhy ambitious women get divorced more often than ambitious menWork LifeThese apps make you feel like you have a personal assistantWork LifeWhy hiring people with criminal records encourages true diversityAdvertisePrivacy PolicyTermsPermissionsContactAbout UsSite MapFast Company & Inc © 2020 Mansueto Ventures, LLC
| Pentagram's adaptive identity for an AI company may be the most meta b | Pentagrams adaptive identity AI company meta b Fast CompanyFollowCo.DesignTechWork LifeCreativityImpactPodcastsVideoNewsRecommenderNewslettersMagazinePodcastsFastCo WorksAC HotelsCitrixFord TransitHomeCo.DesignTechWork LifeCreativityImpactPodcastsVideoNewsRecommenderHelp Centerfastco worksAC HotelsCitrixFord TransitIntuit QuickbooksLenovoMailchimpMcKinsey CompanyFastCo WorksAn awardwinning team journalists, designers, videographers tell brand stories Fast Companys distinctive lenscollectionsTech ForecastWhats hardware, software, servicesMost Innovative CompaniesOur annual guide businesses matter mostMost Creative PeopleLeaders shaping future business creative waysWorld Changing IdeasNew workplaces, new food sources, new medicineeven entirely new economic systemInnovation By DesignCelebrating best ideas businessNewsletterEventsInnovation FestivalThe GrillCourses LearningAdvertiseCurrent IssueCurrent IssueSUBSCRIBEFollow us:advertisementadvertisement02132011:00 Pentagrams adaptive identity AI company meta branding everCheck brand ID manipulated fly, app. By Lilly Smith3 minute ReadAn adaptive brand identitybasically, design flexibility change depending context isnt entirely new. But Luke Powell Jody HudsonPowell Pentagrams London office taken concept step further, adaptive brand manipulated certain parameters app, fly, based client needs time.advertisementadvertisementThe partners team created adaptive identity Berkeleybased company Covariant, developed piece AI software called Covariant Brain teach robots new skills logistics space. The AI learning process starts little weeds, basically, relies company calls decision boundaries.Its term familiar youre field neuroscience artificial intelligence, essentially describes inner decisionmaking process artificial neural network robot brain, changes based external data. According company, particular AI software unique universal, robots learn different settings, manufacturing, shipping, similar logistics industry. [Image: courtesy Pentagram]The Pentagram team ran concept took idea decision boundaries source design inspiration develop dreamy, abstract identity grounded contrasting pastelpinkandblue color palette. It represents boundaries learning process carried brand system. The color palette extended whimsical animations illustrator Geoffroy Crcy, depicting Covariant robots reallife scenarios.The team took giveandtake decision boundaries step developed Covariant Flow app, Covariant design decisions create variety static moving image assets overall parameters brand identity Powell HudsonPowell developed. The form, speed, balance color pink blue manually manipulated depending end use.There modes, advanced basic, says Powell. The basic mode restricts parameters user change compositions form i.e., simple versus complex motion i.e., slow versus active; mode produce assets range typical daytoday brand applications. Say client wants complex animation opening slide keynote speech, suggests Powell, simplified, slowlooped animation underlaid text Instagram post. This tool allows client creative boundary purpose between. If client want notch, advanced mode controls variable affecting way decision boundary behaves.[Image: courtesy Pentagram]The team referenced curves, twists, flow decision boundary concept Covariant logo itself: white C that, digital application, shapeshifts continuous looped animation, like blurry white space shades pink it. See static application image above. The wordmark highcontrast geometric grotesque draws eye friendly, approachable way, minimizing association AIenabled robots lives kind thinga good strategic AI robotics company, Id say.advertisementOf course, developing adaptive brand identity compared static set assets guidelines la standard manuals days past presents unique challenges. The aim creating adaptive brands complex solution simple useable one, says Powell. For Powell, challenge team address clients current design needs, skill sets, workflowsand future ones. Its key understanding determines success adaptive brand. It hard predict future, safe field artificial intelligence near forefront predictive modeling. In way, Pentagram keeping pace.advertisementadvertisementadvertisementTechnology NewsletterSign UpReceive special Fast Company offers.See All NewslettersVideoImpactImpactThere way people struggling poverty New York thinkImpactThis robot trash bin automatically sorts recyclables youImpactHow unleash creativity worlds biggest problems, Alphabets moonshot divisionCreativityCreativityThe creative power blackness drag, according Mont X ChangeCreativityI experienced Oprah time 2020 live tour. This likeCreativityNatty Light wants rent diploma, doesnt want solve student debt crisisCo.DesignCo.DesignQatars ultramodern World Cup hotels built float waterCo.DesignWant know clothes ethically sourced? Theorys new labeling youCo.DesignWho heck want sleep Ikea??Work LifeWork LifeWhy ambitious women divorced ambitious menWork LifeThese apps feel like personal assistantWork LifeWhy hiring people criminal records encourages true diversityAdvertiseTermsPermissionsSite MapFast Company 2020 Mansueto Ventures, LLC | 2,020 | [
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https://www.tvtechnology.com/the-wire-blog/9545-509545 | 2020-02-13T00:00:00 | en | New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15% - 75% | TV Technology |
New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15% - 75% | TV Technology
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New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15% - 75%
Highrez
06 February 2018
Concord, Mass., February 6, 2018 – EuclidIQ, a leading video compression company announces Rithm, a highly innovative approach to cloud transcoding that improves video start times and reduces buffering 15% to 75% for ABR streaming of a wide variety of HD content when compared to leading cloud transcoders. EuclidIQ will be showcasing their innovation to video advertisers and distributors during the National Association of Broadcasters (NAB) gathering in April.Viewers increasingly complain about online streaming quality and performance, so it’s never been more important for advertisers and distributors to provide higher quality video streams at lower bitrates, streams that start faster and buffer less. Rithm is an AI-based cloud transcoder that has been trained on human subjective test data to optimize perceptual quality while adapting to video content. The resulting ABR bitstreams look better, compress better, start faster, and buffer less. Video prepared with Rithm also results in lower Internet and storage cost.Rithm is hosted at Amazon Web Services, which makes integration into existing cloud workflows seamless and highly scalable. “Our goal with Rithm is to simplify high-quality, optimized encoding, which can sometimes be considered a dark art. The benefit to video advertisers and distributors is enormous,” said EuclidIQ CEO, Richard Wingard. “With Rithm, customers just send our service a video file, and our resultant output video will meet the strictest quality benchmarks while starting faster and buffering less. Video advertisers and distributors now have an encoder choice that is a step above in quality of service and quality of experience, which improves their bottom line."Rithm is designed to lower the output bitrate of each video encoding as much as possible to maximize bandwidth savings, but never so much that the video quality is below what the operator desires. Thus, Rithm maximizes bandwidth savings while maintaining quality.NAB attendees can see a demonstration and arrange to meet with EuclidIQ staff by contacting EuclidIQ at http://euclidiq.com/company/contact/
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| New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15% | New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15 75 TV Technology Skip main content TVT logo Created Sketch. TV Technology F Home News Opinions Products Events Resource Center Trending NextGen TV 2020 NAB Show Repack FCC Cband We supported audience. When purchase links site, earn affiliate commission. Learn Home Blogs The Wire New Rithm AI Cloud Transcoder Improves Advertising Video Start Times 15 75 Highrez 06 February 2018 Concord, Mass., February 6, 2018 EuclidIQ, leading video compression company announces Rithm, highly innovative approach cloud transcoding improves video start times reduces buffering 15 75 ABR streaming wide variety HD content compared leading cloud transcoders. EuclidIQ showcasing innovation video advertisers distributors National Association Broadcasters NAB gathering April.Viewers increasingly complain online streaming quality performance, important advertisers distributors provide higher quality video streams lower bitrates, streams start faster buffer less. Rithm AIbased cloud transcoder trained human subjective test data optimize perceptual quality adapting video content. The resulting ABR bitstreams look better, compress better, start faster, buffer less. Video prepared Rithm results lower Internet storage cost.Rithm hosted Amazon Web Services, makes integration existing cloud workflows seamless highly scalable. Our goal Rithm simplify highquality, optimized encoding, considered dark art. The benefit video advertisers distributors enormous, said EuclidIQ CEO, Richard Wingard. With Rithm, customers send service video file, resultant output video meet strictest quality benchmarks starting faster buffering less. Video advertisers distributors encoder choice step quality service quality experience, improves line.Rithm designed lower output bitrate video encoding possible maximize bandwidth savings, video quality operator desires. Thus, Rithm maximizes bandwidth savings maintaining quality.NAB attendees demonstration arrange meet EuclidIQ staff contacting EuclidIQ Categories The Wire Topics blog The latest product technology information Future USs leading brands bring important, uptodate information right inbox Most Read Most Shared 1Grass Valley Gear Tapped NEP Europes Olympic Coverage 2Andrew Armstrong Joins Media Links VP Sales 3NAB Monitoring Coronavirus, Assessing Impact 2020 Trade Show 4Prime Focus Technologies DAX Rebranded CLEAR 5Jim Gaffigan Headline NAB Show Sunday Kick Off 1Grass Valley Gear Tapped NEP Europes Olympic Coverage 2Andrew Armstrong Joins Media Links VP Sales 3NAB Monitoring Coronavirus, Assessing Impact 2020 Trade Show 4Prime Focus Technologies DAX Rebranded CLEAR 5Jim Gaffigan Headline NAB Show Sunday Kick Off TV Technology Future US , international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy California Privacy Rights Future US, . 11 West 42nd Street, 15th Floor, New York, NY 10036. | 2,020 | [
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https://nysenewstimes.com/artificial-intelligence-ai-in-education-market-global-analysis-of-key-manufacturers-dynamics-forecast-2020-2026/ | 2020-03-16T00:00:00 | en | Artificial Intelligence (AI) in Education Market: Global Analysis Of Key Manufacturers, Dynamics & Forecast 2020-2026 – Nyse News Times |
Artificial Intelligence (AI) in Education Market: Global Analysis Of Key Manufacturers, Dynamics & Forecast 2020-2026 – Nyse News Times
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Artificial Intelligence (AI) in Education Market: Global Analysis Of Key Manufacturers, Dynamics & Forecast 2020-2026
Alex March 16, 2020
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Artificial Intelligence (AI) in Education MarketArtificial Intelligence (AI) in Education Market analysisArtificial Intelligence (AI) in Education Market forecastArtificial Intelligence (AI) in Education Market playersArtificial Intelligence (AI) in Education Market scopeArtificial Intelligence (AI) in Education Market shareArtificial Intelligence (AI) in Education Market sizeArtificial Intelligence (AI) in Education Market trends
Artificial Intelligence (AI) in Education Market
DataIntelo, 16032020: The research report on the Artificial Intelligence (AI) in Education Market is a deep analysis of the market. Experts have studied the historical data and compared it with the changing market situations. The report covers all the necessary information required by new entrants as well as the existing players to gain deeper insight.
Furthermore, the statistical survey in the report focuses on product specifications, costs, production capacities, marketing channels, and market players. Upstream raw materials, downstream demand analysis, and a list of end-user industries have been studied systematically, along with the suppliers in this market. The product flow and distribution channel have also been presented in this research report.
Get a PDF Copy of the Sample Report for Free @ https://dataintelo.com/request-sample/?reportId=92127
The Major Manufacturers Covered in this Report:GoogleIBMPearsonMicrosoftAWSNuanceCognizantMetacogQuantum Adaptive LearningQueriumThird Space LearningAleksBlackboardBridgeUCarnegie LearningCenturyCogniiDreamBox LearningElemental PathFishtreeJellynoteJenzabarKnewtonLuilishuo
The Research Study Focuses on:
Market Position of Vendors
Vendor Landscape
Competitive scenario
Manufacturing Cost Structure Analysis
Recent Development and Expansion Plans
Industry Chain Structure
By Types:Machine Learning and Deep LearningNatural Language Processing
By Applications:Virtual Facilitators and Learning EnvironmentsIntelligent Tutoring SystemsContent Delivery SystemsFraud and Risk Management
By Regions:
North America (The US, Canada, and Mexico)
Europe (the UK, Germany, France, and Rest of Europe)
Asia Pacific (China, India, and Rest of Asia Pacific)
Latin America (Brazil and Rest of Latin America)
Middle East & Africa (Saudi Arabia, the UAE, South Africa, and Rest of Middle East & Africa)
To get this report at incredible Discounts, visit @ https://dataintelo.com/ask-for-discount/?reportId=92127
The Artificial Intelligence (AI) in Education Market Report Consists of the Following Points:
The report consists of an overall prospect of the market that helps gain significant insights about the global market.
The market has been categorized based on types, applications, and regions. For an in-depth analysis and better understanding of the market, the key segments have been further categorized into sub-segments.
The factors responsible for the growth of the market have been mentioned. This data has been gathered from primary and secondary sources by industry professionals. This provides an in-depth understanding of key segments and their future prospects.
The report analyses the latest developments and the profiles of the leading competitors in the market.
The Artificial Intelligence (AI) in Education Market research report offers an eight-year forecast.
Make an Inquiry of the Artificial Intelligence (AI) in Education Market Report @ https://dataintelo.com/enquiry-before-buying/?reportId=92127
In conclusion, the Artificial Intelligence (AI) in Education Market report is a reliable source for accessing the research data that is projected to exponentially accelerate your business. The report provides information such as economic scenarios, benefits, limits, trends, market growth rate, and figures. SWOT analysis is also incorporated in the report along with speculation attainability investigation and venture return investigation.
About DataIntelo:DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports.
Contact Info:Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: +1 909 545 6473 | IND: +91-7000061386Email: [email protected]Website: https://dataintelo.com
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| Artificial Intelligence (AI) in Education Market: Global Analysis Of Key Manufacturers, Dynamics & Forecast 2020-2026 | Artificial Intelligence AI Education Market: Global Analysis Of Key Manufacturers, Dynamics Forecast 20202026 Nyse News Times Skip content Monday, March 16, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Artificial Intelligence AI Education Market: Global Analysis Of Key Manufacturers, Dynamics Forecast 20202026 Alex March 16, 2020 No Comments Artificial Intelligence AI Education MarketArtificial Intelligence AI Education Market analysisArtificial Intelligence AI Education Market forecastArtificial Intelligence AI Education Market playersArtificial Intelligence AI Education Market scopeArtificial Intelligence AI Education Market shareArtificial Intelligence AI Education Market sizeArtificial Intelligence AI Education Market trends Artificial Intelligence AI Education Market DataIntelo, 16032020: The research report Artificial Intelligence AI Education Market deep analysis market. Experts studied historical data compared changing market situations. The report covers necessary information required new entrants existing players gain deeper insight. Furthermore, statistical survey report focuses product specifications, costs, production capacities, marketing channels, market players. Upstream raw materials, downstream demand analysis, list enduser industries studied systematically, suppliers market. The product flow distribution channel presented research report. Get PDF Copy Sample Report Free @ The Major Manufacturers Covered Report:GoogleIBMPearsonMicrosoftAWSNuanceCognizantMetacogQuantum Adaptive LearningQueriumThird Space LearningAleksBlackboardBridgeUCarnegie LearningCenturyCogniiDreamBox LearningElemental PathFishtreeJellynoteJenzabarKnewtonLuilishuo The Research Study Focuses on: Market Position Vendors Vendor Landscape Competitive scenario Manufacturing Cost Structure Analysis Recent Development Expansion Plans Industry Chain Structure By Types:Machine Learning Deep LearningNatural Language Processing By Applications:Virtual Facilitators Learning EnvironmentsIntelligent Tutoring SystemsContent Delivery SystemsFraud Risk Management By Regions: North America The US, Canada, Mexico Europe UK, Germany, France, Rest Europe Asia Pacific China, India, Rest Asia Pacific Latin America Brazil Rest Latin America Middle East Africa Saudi Arabia, UAE, South Africa, Rest Middle East Africa To report incredible Discounts, visit @ The Artificial Intelligence AI Education Market Report Consists Following Points: The report consists overall prospect market helps gain significant insights global market. The market categorized based types, applications, regions. For indepth analysis better understanding market, key segments categorized subsegments. The factors responsible growth market mentioned. This data gathered primary secondary sources industry professionals. This provides indepth understanding key segments future prospects. The report analyses latest developments profiles leading competitors market. The Artificial Intelligence AI Education Market research report offers eightyear forecast. Make Inquiry Artificial Intelligence AI Education Market Report @ In conclusion, Artificial Intelligence AI Education Market report reliable source accessing research data projected exponentially accelerate business. The report provides information economic scenarios, benefits, limits, trends, market growth rate, figures. SWOT analysis incorporated report speculation attainability investigation venture return investigation. About DataIntelo:DATAINTELO set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. Each report goes proper research methodology, validated professionals analysts ensure eminent quality reports. Info:Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: 1 909 545 6473 IND: 917000061386Email: [emailprotected]Website: Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Automated Pipetting System Market: Global Analysis Of Key Manufacturers, Dynamics Forecast 20202026Next Next post: Light Guide Plate TVs Market: Qualitative Analysis Leading Players Competitive Industry Scenario, 2025 Recent Posts Electric Chain Hoists Market Demand, Size, Share, Growth Opportunities, Market Potential, Segmentation, Trends Forecast 2025 ABUS Kransysteme, ARC, Granada, Kone, Budgit Hoist, Lift King, iger Lifting, Steerman, Raptor Lifting, Toronto Electric, Ace Industries, Milwaukee Ionic Organic Polymer Market Size : Industry Growth, Competitive Analysis, Future Prospects Forecast 2025 Demineralized Allografts Market Is Set To Experience Revolutionary Growth By 2025 Computer Mice Market 2020 Global Industry Growth Analysis, Segmentation, Size, Share, Trend, Future Demand And Leading Players Updates By Forecast To 2025 Starching Clay Sales Market Share, Growth Forecast Global Industry Outlook Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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] | 1 | POSITIVE | 685 |
https://agenparl.eu/why-data-data-annotation-make-or-break-ai/ | 2020-08-08T00:00:00 | en | Why Data & Data Annotation Make or Break AI — Agenparl |
Why Data & Data Annotation Make or Break AI — Agenparl
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WHY DATA & DATA ANNOTATION MAKE OR BREAK AI
by Redazione8 Agosto 202000
(AGENPARL) – THE HAGUE (THE NETHERLANDS), sab 08 agosto 2020 Everything in this universe is captured and preserved in the memory, in large scale we can refer it as Databases. Before we can proceed on how Data can make or break AI, let’s see what Data Annotation is. Data annotation is the process of appending important data to the original data. This dataset is without form or clarity at the beginning phase and therefore it is ambiguous to computers. Data without identifiers is just chaos, for a machine learning algorithm. However, this chaos can be converted into a structured training program by annotation which has an effect all the way up the queue. Let’s go back to our Search Engine scenario to explain this. The IAI integrated Technology must include a datasets of text samples annotated for entity extraction in order to create an entity extractor. Fortunately, there are a bunch of different ways of tagging also within attribute selection which will help to educate the system for marginally multiple tasks. Data annotators build metadata that defines or categorizes data in the form of code snippets. In the past, businesses used data annotation to define structures and allow data easily accessible. Now although, companies are concentrating their efforts …
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Fonte/Source: https://datafloq.com/read/why-data-data-annotation-make-break-ai/8905
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| Why Data & Data Annotation Make or Break AI — Agenparl | Why Data Data Annotation Make Break AI Agenparl sabato, Agosto 8, 2020 Breaking News ESPLOSIONE A BEIRUT: WASHINGTON INVIA 15 MILIONI DI DOLLARI FRA AIUTI CIBOITALIA: ABORTO FARMACOLOGICO FINO ALLA NONA SETTIMANA E SENZA RICOVEROMALAWI, LA CHIESA: COMBATTERE LA CORRUZIONE SIA PRIORITARIOA BEIRUT TRA LE MACERIE, I GIOVANI DANNO LEZIONE DI SOLIDARIETMIGRANTI, DI MAIO: SBARCHI SCESI MA NON ABBASSARE GUARDIAZONE ROSSE, SALVINI: CONTE REGALAVA MASCHERINE ALLA CINA MA CONOSCEVA I RISCHICOMUNICATO STAMPAIL NUNZIO IN IRAQ MITJA LESKOVAR, ORDINATO VESCOVO: UNA MISSIONE IMPEGNATIVAHEBDOMADA PAPAE: IL GR IN LATINO DELL8 AGOSTO FacebookTwitterInstagramPinterestGoogleYoutubeTelegram HOME ITALIA POLITICA INTERNI CRONACA AGROALIMENTARE ARTE, CULTURA, INTRATTENIMENTO BANDI DIFESA DIRITTO GIUSTIZIA ECONOMIA EDUCAZIONE LAVORO MADE IN ITALY SCIENZA E TECNOLOGIA SALUTE INTERNATIONALI POLITICA ESTERA AGENPARL ENGLISH AGENPARL DEUTSCH AGENPARL ESPAOLA AGENPARL FRENCH AGENPARL P EDITORIALI ABBONATI ABBONAMENTO DI PROVA RICERCA NEL DATABASE LOGIN AGENPARL LA TUA PUBBLICT SU AGENPARL INVIO COMUNICATI STAMPA CONTATTA LA REDAZIONE CONTATTA IL WEBMASTER for: Primary Menu for: WHY DATA AMP; DATA ANNOTATION MAKE OR BREAK AI Redazione8 Agosto 202000 AGENPARL THE HAGUE THE NETHERLANDS, sab 08 agosto 2020 Everything universe captured preserved memory, large scale refer Databases. Before proceed Data break AI, lets Data Annotation is. Data annotation process appending important data original data. This dataset form clarity beginning phase ambiguous computers. Data identifiers chaos, machine learning algorithm. However, chaos converted structured training program annotation effect way queue. Lets Engine scenario explain this. The IAI integrated Technology include datasets text samples annotated entity extraction order create entity extractor. Fortunately, bunch different ways tagging attribute selection help educate marginally multiple tasks. Data annotators build metadata defines categorizes data form code snippets. In past, businesses data annotation define structures allow data easily accessible. Now although, companies concentrating efforts Read More Datafloq FonteSource: Listen annotationdatafloq0 previous post PROT.CIVILE: CANTIERI VAIA, 13 MLN LAVORI A FORNI DI SOTTO E DI SOPRA post ITALIA: ABORTO FARMACOLOGICO FINO ALLA NONA SETTIMANA E SENZA RICOVERO Post collegatiWHY DATA AMP; DATA ANNOTATION MAKE OR BREAK AIRedazione8 Agosto 2020WHAT ARE THE STEPS SHOULD BE INCLUDED IN A DATA CLEANSING PROCESS?Redazione7 Agosto 20208 THE BEST CYBERSECURITY CERTIFICATIONS TO BOOST YOUR CAREER IN 2020Redazione7 Agosto 2020IMPERATIVES OF UIUX AND WHY THEYRE IMPORTANT FOR BUSINESS?Redazione7 Agosto 2020AI CYBERATTACKS: WHAT IS IT AND HOW TO PROTECT AGAINST THEMRedazione7 Agosto 2020HOW IS 5G CHANGING THE FACE OF IOT?Redazione6 Agosto 2020 Leave Comment Cancel Reply Save name, email, website browser time I comment. ContattaciINVIACI I TUOI COMUNICATI STAMPA CONTATTA LA REDAZIONE CONTATTA IL WEBMASTER LA TUA PUBBLICTA SU AGENPARL agenparl.eu. All Right Reserved. Designed Developed GianlucaM FacebookTwitterInstagramPinterestGoogleYoutubeTelegram HOME ITALIA POLITICA INTERNI CRONACA AGROALIMENTARE ARTE, CULTURA, INTRATTENIMENTO BANDI DIFESA DIRITTO GIUSTIZIA ECONOMIA EDUCAZIONE LAVORO MADE IN ITALY SCIENZA E TECNOLOGIA SALUTE INTERNATIONALI POLITICA ESTERA AGENPARL ENGLISH AGENPARL DEUTSCH AGENPARL ESPAOLA AGENPARL FRENCH AGENPARL P EDITORIALI ABBONATI ABBONAMENTO DI PROVA RICERCA NEL DATABASE LOGIN AGENPARL LA TUA PUBBLICT SU AGENPARL INVIO COMUNICATI STAMPA CONTATTA LA REDAZIONE CONTATTA IL WEBMASTER This website uses cookies improve experience. Well assume youre ok this, optout wish. Accept Read More | 2,020 | [
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http://usweekly.com/news/7/76793/Put-an-AI-personal-trainer-in-your-ears-for-45-with-the-LifeBeam-Vi-Sense-Wireless-Headphones.html | 2020-02-03T00:00:00 | en | Put an AI personal trainer in your ears for $45 with the LifeBeam Vi Sense Wireless Headphones - USweekly |
Put an AI personal trainer in your ears for $45 with the LifeBeam Vi Sense Wireless Headphones - USweekly
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| Put an AI personal trainer in your ears for $45 with the LifeBeam Vi Sense Wireless Headphones | Put AI personal trainer ears 45 LifeBeam Vi Sense Wireless Headphones USweekly Monday, 03 February 2020 Send search form Todays news World U.S. National Politics Business Technology Sports Entertainment Beauty Health Living Travel Science Weather Odd news Shopping Put AI personal trainer ears 45 LifeBeam Vi Sense Wireless Headphones Added: 03.02.2020 0:18 10 views 0 comments Source: Harman Kardon headphones work humansounding AI trainer guides personalized workouts.More Tags: Harman Kardon, Headphones Nickname: Enter image code: Comments: Tags 4K Audi Best Buy Brazil Breast cancer Champions League Cher Climate change Congress Dell DNA Dodge eBay EU FBI FED FIA Football Gamers GM Goa Gold HP iOS Japan Kimye Mac NATO NBA NFL North Korea Oil Opposition PC Players Premier League Prison PS4 Rita Ora Social media SPA Star Wars Students Surgery Uber UK USA Windows 10 Xbox One Yahoo advertising 2008 2020 USweekly | 2,020 | [
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https://www.cbs17.com/news/technology/google-ceo-calls-for-regulation-of-artificial-intelligence/ | 2020-01-20T00:00:00 | en | Google CEO calls for regulation of artificial intelligence – CBS17.com |
Google CEO calls for regulation of artificial intelligence – CBS17.com
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Google CEO calls for regulation of artificial intelligence
Technology
by: KELVIN CHAN, Associated Press
Posted: Jan 20, 2020 / 06:53 AM EST
/ Updated: Jan 20, 2020 / 08:43 AM EST
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
___
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The Mel Robbins Show My Carolina Remarkable Women: Thanks nominations Home Holidays CBS 17 Cares First Responders Contests Hispanic Heritage Month Veterans Voices Carolina Business Google CEO calls regulation artificial intelligence Technology by: KELVIN CHAN, Associated Press Posted: Jan 20, 2020 06:53 AM EST Updated: Jan 20, 2020 08:43 AM EST 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 Technology Stories Abe says new unit defend Japan space tech threats MARI YAMAGUCHI, Associated Press Jan 20, 2020 TOKYO AP Japans prime minister said Monday country form space defense unit protect potential threats rivals develop missiles technology new unit work closely American counterpart recently launched President Donald Trump. The Space Domain Mission Unit start April Japans Air SelfDefense Force, Prime Minister Shinzo Abesaid policy speech marking start years parliamentary session. Read Full Article No astrovans SpaceX, crews riding rockets Teslas MARCIA DUNN, Associated Press Jan 19, 2020 CAPE CANAVERAL, Fla. AP Astronauts launched SpaceX coming months ride rockets high fashion. Instead retrostyle astrovan, SpaceX crews travel launch pad Tesla sports cars. Elon Musk, runs SpaceX electric car company, Teslas Kennedy Space Center Sundays launch escape test. No aboard test flight, mannequins. But launch dress rehearsal Friday, NASA astronauts assigned SpaceX crew got lift pad Tesla Model X. Read Full Article SpaceX launches, destroys rocket astronaut escape test MARCIA DUNN, Associated Press Jan 19, 2020 CAPE CANAVERAL, Fla. AP SpaceX completed big test crew capsule launching astronauts months, mimicking emergency escape shortly liftoff Sunday. No aboard wild ride skies Cape Canaveral, mannequins. 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] | 1 | NEGATIVE | 688 |
https://rejerusalem.com/146362/the-players-celebrate-acer-lana-ai-game-translator-and-new-predator-and-nitro-monitors/ | 2020-10-22T00:00:00 | en | The players celebrate! Acer Lana AI game translator and new Predator and Nitro monitors – re:Jerusalem |
The players celebrate! Acer Lana AI game translator and new Predator and Nitro monitors – re:Jerusalem
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Home/International/The players celebrate! Acer Lana AI game translator and new Predator and Nitro monitors
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The players celebrate! Acer Lana AI game translator and new Predator and Nitro monitors
rej
October 21, 2020
The next @ acer event on Wednesday (21) featured products such as compact laptops, laptops for professional designers, and machines for commercial use. Acer also presented news to the gamer audience.
They include a real-time game translator, using artificial intelligence, and six new gaming monitors from the Predator and Nitro ranges. TudoCelular covered the event and shows the details below:
SigridWave
SigridWave is a real-time, AI-based game translator with deep learning technology to facilitate communication between players around the world, to overcome language barriers.
The tool is integrated into the desktop client of the Planet9 eSports platform and starts during a game lobby. The operation takes place via a customizable overlay.
In the game, SigridWave uses Automatic Speech Recognition (ASR) technology to recognize speech and convert it to text – processed by Neutal Machine Translation (NMT). To date, over 10 million bilingual sentence pairs have been formed in the resource.
The novelty will have a closed beta starting this fourth quarter of 2020, with translation between English and Mandarin in FPS games. One of the confirmed games is Tom Clancy’s Rainbow Six Siege.
Acer Predator XB3 monitors
In total, there are three new monitors from the Predator XB3 series, with FHD (1920×1080) or QHD (2560×1440) displays with high update rates and VESA DisplayHDR certification, in addition to specific optimizations for each product.
The XB273U NV stands out for its comfort. He is one of the first gaming monitors to receive Eyesafe certification. There’s still Acer VisionCare 4.0 here, which incorporates LightSense, AdaptiveLight, ColorSense, and ProxiSense technologies to measure ambient light and adjust brightness and color temperature based on ambient conditions. It features a 27-inch Agile-Splendor IPS panel, QHD resolution and VESA DisplayHDR 400 certification.
The Predator XB253Q GW has a 24.5 inch IPS FHD display and is compatible with NVIDIA G-SYNC. It can be configured for a refresh rate of 280Hz and a response time of up to 0.5ms. This model also incorporates RGB LightSense with nine different special effects, to synchronize colors with the rhythm of music or games. In addition, it allows tilt, rotation, height and orientation adjustments.
The third in the series is the Predator XB323U GX, with a 32-inch QHD display, a refresh rate of up to 270Hz, and a response time of up to 0.5mm. There’s 99% Adobe RGB coverage, VESA DisplayHDR 600 certified 8-bit image processing, and local dimming for deeper blacks. Tilt, rotation, height and orientation adjustments are also present.
Acer Predator X34 GS Monitor
The Predator X34 GS comes with a 34-inch UWQHD curved screen, paired with the Agile-Splendor IPS panel. It is compatible with NVIDIA G-SYNC technology, to provide more fluidity in moving images.
The refresh rate here is 180 Hz and has a response time of 0.5 ms. The model has VESA DisplayHDR 400 coverage and 98% of the DCI-P3 spectrum. To top it off, there’s a flexible stand and two built-in 7-watt speakers.
Acer Nitro monitors
There are two new monitors in the Acer Nitro series, both of which are Eyesage certified to prevent eye strain and increase visual comfort.
First, there is the XV272U KV, with images in QHD resolution (2560×1440). The Agile-Splendor IPS panel promises a viewing angle that allows you to maximize viewing. The refresh rate can reach 170Hz, while the response time is 1ms. There are also LightSense, ColorSense and PixelSense technologies.
Finally, the Nitro XV272 LV also features an Agile-Splendor IPS panel with Full HD resolution (1920 x 1080) and an overclocking refresh rate of 165 Hz. The accessory also comes with a cover and an index. DCI-P3 color of 90% Delta E <1.
Acer October 21
Acer October 21
Rates and availability
Acer pointed out that there is still no confirmation of the launch of new monitors for Brazil. In other countries, prices and availability dates vary by region.
What are your thoughts on the new monitors and translators for the gaming audience? Let us know what you think!
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| The players celebrate! Acer Lana AI game translator and new Predator and Nitro monitors | The players celebrate Acer Lana AI game translator new Predator Nitro monitors re:Jerusalem Thursday, October 22 2020 Trending Global Low Fat Goat Milk Market Future Demand Analysis, Features Industry sizes, Key Objective Forecast upto 2025 Global Recycled Cotton Yarn Market 2020 2025 Future Demand Analysis, Opportunity Market Overviews Martex Fiber, Patrick Yarn Mill, Hilaturas Ferre, Ecological Textiles Global High Intensity Sweeteners Market Report 2020 2025 Size, Share, Trends, Key Players, Drivers Forecast Global Picture Frames Market By Regional Outlook, Competitive Strategies, EndUser Forecast To 2025 Global Dried Fruits Edible Nuts Market Future Demand Analysis, Features Industry sizes, Key Objective Forecast upto 2025 Global Nano Screen Protector Market 2020 2025 Future Demand Analysis, Opportunity Market Overviews Nanofixit, Lensun, LiquidNano, cellhelmet Global Corn WetMilling Market Report 2020 2025 Size, Share, Trends, Key Players, Drivers Forecast Global Integrated Bidet Toilet System Market By Regional Outlook, Competitive Strategies, EndUser Forecast To 2025 Global Organic Pea Protein Market Future Demand Analysis, Features Industry sizes, Key Objective Forecast upto 2025 Global InHome Karaoke Market 2020 2025 Future Demand Analysis, Opportunity Market Overviews DAM, Hyundai, Pioneer, MeiHwa Multimedia Sidebar Log In Random Article re:Jerusalem Business Health Industries International SciTech Sports Publish PRs HomeInternationalThe players celebrate Acer Lana AI game translator new Predator Nitro monitors International The players celebrate Acer Lana AI game translator new Predator Nitro monitors rej October 21, 2020 The @ acer event Wednesday 21 featured products compact laptops, laptops professional designers, machines commercial use. Acer presented news gamer audience. They include realtime game translator, artificial intelligence, new gaming monitors Predator Nitro ranges. TudoCelular covered event shows details below: SigridWave SigridWave realtime, AIbased game translator deep learning technology facilitate communication players world, overcome language barriers. The tool integrated desktop client Planet9 eSports platform starts game lobby. The operation takes place customizable overlay. In game, SigridWave uses Automatic Speech Recognition ASR technology recognize speech convert text processed Neutal Machine Translation NMT. To date, 10 million bilingual sentence pairs formed resource. The novelty closed beta starting fourth quarter 2020, translation English Mandarin FPS games. One confirmed games Tom Clancys Rainbow Six Siege. Acer Predator XB3 monitors In total, new monitors Predator XB3 series, FHD 19201080 QHD 25601440 displays high update rates VESA DisplayHDR certification, addition specific optimizations product. The XB273U NV stands comfort. He gaming monitors receive Eyesafe certification. Theres Acer VisionCare 4.0 here, incorporates LightSense, AdaptiveLight, ColorSense, ProxiSense technologies measure ambient light adjust brightness color temperature based ambient conditions. It features 27inch AgileSplendor IPS panel, QHD resolution VESA DisplayHDR 400 certification. The Predator XB253Q GW 24.5 inch IPS FHD display compatible NVIDIA GSYNC. It configured refresh rate 280Hz response time 0.5ms. This model incorporates RGB LightSense different special effects, synchronize colors rhythm music games. In addition, allows tilt, rotation, height orientation adjustments. The series Predator XB323U GX, 32inch QHD display, refresh rate 270Hz, response time 0.5mm. Theres 99 Adobe RGB coverage, VESA DisplayHDR 600 certified 8bit image processing, local dimming deeper blacks. Tilt, rotation, height orientation adjustments present. Acer Predator X34 GS Monitor The Predator X34 GS comes 34inch UWQHD curved screen, paired AgileSplendor IPS panel. It compatible NVIDIA GSYNC technology, provide fluidity moving images. The refresh rate 180 Hz response time 0.5 ms. The model VESA DisplayHDR 400 coverage 98 DCIP3 spectrum. To off, theres flexible stand builtin 7watt speakers. Acer Nitro monitors There new monitors Acer Nitro series, Eyesage certified prevent eye strain increase visual comfort. First, XV272U KV, images QHD resolution 25601440. The AgileSplendor IPS panel promises viewing angle allows maximize viewing. The refresh rate reach 170Hz, response time 1ms. There LightSense, ColorSense PixelSense technologies. Finally, Nitro XV272 LV features AgileSplendor IPS panel Full HD resolution 1920 x 1080 overclocking refresh rate 165 Hz. The accessory comes cover index. DCIP3 color 90 Delta E <1. Acer October 21 Acer October 21 Rates availability Acer pointed confirmation launch new monitors Brazil. In countries, prices availability dates vary region. What thoughts new monitors translators gaming audience? Let know think Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print rej Related Articles October 12, 2020 8 Reporter Gene Assay Market Showcase Continued Growth Coming Years Major Players Merck KGaA, Thermo Fisher Scientific , Promega Corporation, PerkinElmer ., Abcam plc., BD October 20, 2020 3 Global Sulbenicillin Sodium Market Forecast Revised New Market Research Store Report Coronavirus COVID19 Projected Hold Massive Impact Sales 2020 October 7, 2020 1 Impact Covid19 Airgel Insulation Material Market 2020 Worldwide Opportunities, Driving Forces, Future Potential 2025: AspenAerogel, BASF, etc. October 20, 2020 2 Global Baby Sunscreen Market Forecast Revised New Market Research Store Report Coronavirus COVID19 Projected Hold Massive Impact Sales 2020 Check Also Close Business Pistachio Market Production, Revenue, Trends Demand Analysis Horizon Growers, Nichols Farms, Keenan Farms October 12, 2020 Recent Posts October 22, 2020 FC Bayern called rabies 4: 0 benchmark Free press October 22, 2020 Rummenigge urges harmony loyalty DFB Free press October 22, 2020 5G Brazil: Americanet reveals auction plans serve 500 municipalities MS October 22, 2020 Chris Lwe Dresden luck misfortune Free press October 22, 2020 IPhone 12 surpasses iPad Pro, ranks 3 times better OnePlus 8 web app tests October 22, 2020 Amazon offers handsfree functions Fire TV Alexa devices October 21, 2020 Real embarrassed start Gndogans dream Free press October 21, 2020 Lenovo announces Xiaoxin Air 14, Pro 14 Air 15 2021 laptops 11th gen Intel China October 21, 2020 With coronavirus The Good Doctor released 4season trailer tackles pandemic October 21, 2020 Next intermediate OnePlus, Nord N10 revealed possible design October 21, 2020 Lukaku prevents Gladbachers dream start premier class Free press Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://insidehpc.com/2020/10/ibm-announces-new-ai-hardware-research-red-hat-collaborations/ | 2020-10-24T00:00:00 | en | IBM Announces New AI Hardware Research, Red Hat Collaborations - insideHPC |
IBM Announces New AI Hardware Research, Red Hat Collaborations - insideHPC
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Home » Accelerator » IBM Announces New AI Hardware Research, Red Hat CollaborationsIBM Announces New AI Hardware Research, Red Hat Collaborations
October 23, 2020 by staff Leave a Comment At the IEEE CAS/EDS AI Compute Symposium, IBM Research introduced new technology and partnerships designed to dynamically run massive AI workloads in hybrid clouds:
The company said it is developing analog AI, combining compute and memory in a single device designed to alleviate “the von Neumann bottleneck,” a limitation resulting from traditional hardware architectures in which compute and memory are segregated in different locations, with data moving back and forth between them when an operation is performed.
Mukesh Khare, vice president, IBM Systems Research, stated in a blog that IBM Research is exploring ways to create more powerful, yet efficient, AI systems with digital and analog cores. He said the company is releasing the Analog Hardware Acceleration Kit as an open source Python toolkit that enables communities of developers to test the possibilities of using in-memory computing devices for AI.
Khare said the kit has two components: PyTorch integration and an analog devices simulator. PyTorch is an open source machine learning library based on the Torch library, a scientific computing framework with wide support for machine learning algorithms. PyTorch is used for developing AI applications such as computer vision and natural language processing.
“The analog kit allows AI practitioners to evaluate analog AI technologies while allowing for customizing a wide range of analog device configurations, and the ability to modulate device material parameters,” wrote Khare. “The goal is to enlist the AI community to assess the capabilities of analog AI hardware, to be part of a community that tailors models to extract the full potential of the hardware, and to invent new AI applications that can exploit the potential of this breakthrough technology.”
Khare also said that Red Hat has joined the IBM AI Hardware Center in Albany, NY, to help bring IBM Digital AI Cores to Red Hat OpenShift, an enterprise Kubernetes platform. “Digital AI Cores serve as accelerators, using custom architecture, software and algorithms to transform existing semiconductor technologies to apply reduced precision formats to speed computation and decrease power consumption while maintaining model accuracy,” he said.
Red Hat is collaborating with IBM’s AI hardware development stream and working to enable AI hardware accelerator deployment across hybrid cloud infrastructure: multi-cloud, private cloud, on-premise and edge. These accelerators can be used to build neural network models for applications that perform AI tasks, including speech recognition, natural language processing and computer vision. The integration of accelerators based on IBM Digital AI Cores with Red Hat OpenShift enables the accelerators to be deployed and managed as part of a hybrid infrastructure, according to Khare.
“As IBM is developing AI hardware, we can work on the software integration in parallel with Red Hat,” he said. “This has two large benefits: The software and hardware can be ready at the same time (shortening the overall development cycle by months if not years), and the opportunity exists for a better overall solution.”
Khare said the IBM Research AI Hardware Center, which aims to be an ecosystem of research and commercial partners collaborating with IBM has expanded to 14 members. It includes Synopsys, an electronic design automation software and emulation and prototyping company. Synopsys also develops IP blocks for use in the high-performance silicon chips and secure software applications for advancements in AI.
Synopsys will serve as lead electronic design automation (EDA) partner for IBM’s AI Hardware Center, supporting IBM’s goal of 1,000X improvement in AI compute performance by 2030.
To address the need for advanced interconnect bandwidth connectivity, IBM said the company and NY Creates, an organization aimed at attracting high tech entrepreneurs to New York State, are investing in a new cleanroom facility on the campus of AI Center member, SUNY-Poly, in Albany. The cleanroom will focus on advanced packaging, also called “heterogeneous integration,” to improve memory proximity and interconnect capabilities, according to Khare. “This work will also help ensure that, as our new compute cores are developed, the memory bandwidth is increased in tandem,” he said. “Otherwise, the compute units can remain idle waiting for data, leading to unbalanced system performance.”
“AI’s unprecedented demand for data, power and system resources poses the greatest challenge to realizing this optimistic vision of the future,” wrote Khare. “To meet that demand, we’re developing a new class of inherently energy-efficient AI hardware accelerators that will increase compute power by orders of magnitude, in hybrid cloud environments, without the demand for increased energy.”
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| IBM Announces New AI Hardware Research, Red Hat Collaborations | IBM Announces New AI Hardware Research, Red Hat Collaborations insideHPC About Advertise : News Business HPC New Installations HPC Hardware Exascale Future Technology Compute Coprocessors GPUs Storage Network Green HPC HPC Software Cloud HPC Machine Learning Tools Systems Management Visualization High Performance Analytics Lustre Parallel Programming Industry Segments Enterprise HPC Government Research Education Manufacturing Collaboration Datacenter White Papers Resources Dell Technologies Spotlight Education Training Events Events Calendar Job Postings Jobs Board Podcast Research Reports Video Industry Perspectives Rock Stars HPC The Exascale Report Archives Special Reports Parallel Programming Sign newsletter latest HPC news analysis. Email Address Send information insideHPC: Daily Weekly Home Accelerator IBM Announces New AI Hardware Research, Red Hat CollaborationsIBM Announces New AI Hardware Research, Red Hat Collaborations October 23, 2020 staff Leave Comment At IEEE CASEDS AI Compute Symposium, IBM Research introduced new technology partnerships designed dynamically run massive AI workloads hybrid clouds: The company said developing analog AI, combining compute memory single device designed alleviate von Neumann bottleneck, limitation resulting traditional hardware architectures compute memory segregated different locations, data moving forth operation performed. Mukesh Khare, vice president, IBM Systems Research, stated blog IBM Research exploring ways create powerful, efficient, AI systems digital analog cores. He said company releasing theAnalog Hardware Acceleration Kitas open source Python toolkit enables communities developers test possibilities inmemory computing devices AI. Khare said kit components:PyTorchintegration analog devices simulator. PyTorch open source machine learning library based theTorch library, scientific computing framework wide support machine learning algorithms. PyTorch developing AI applications vision natural language processing. The analog kit allows AI practitioners evaluate analog AI technologies allowing customizing wide range analog device configurations, ability modulate device material parameters, wrote Khare. The goal enlist AI community assess capabilities analog AI hardware, community tailors models extract potential hardware, invent new AI applications exploit potential breakthrough technology. Khare said Red Hat joined IBM AI Hardware Center Albany, NY, help bring IBM Digital AI Cores Red Hat OpenShift, enterprise Kubernetes platform. Digital AI Cores serve accelerators, custom architecture, software algorithms transform existing semiconductor technologies apply reduced precision formats speed computation decrease power consumption maintaining model accuracy, said. Red Hat collaborating IBMs AI hardware development stream working enableAI hardware acceleratordeployment hybrid cloud infrastructure: multicloud, private cloud, onpremise edge. These accelerators build neural network models applications perform AI tasks, including speech recognition, natural language processing vision. The integration accelerators based IBM Digital AI Cores Red Hat OpenShift enables accelerators deployed managed hybrid infrastructure, according Khare. As IBM developing AI hardware, work software integration parallel Red Hat, said. This large benefits: The software hardware ready time shortening overall development cycle months years, opportunity exists better overall solution. Khare said IBM Research AI Hardware Center, aims ecosystem research commercial partners collaborating IBM expanded 14 members. It includes Synopsys, electronic design automation software emulation prototyping company. Synopsys develops IP blocks use highperformance silicon chips secure software applications advancements AI. Synopsys serve lead electronic design automation EDA partner IBMs AI Hardware Center, supporting IBMs goal 1,000X improvement AI compute performance 2030. To address need advanced interconnect bandwidth connectivity, IBM said company andNY Creates, organization aimed attracting high tech entrepreneurs New York State, investing new cleanroom facility campus AI Center member, SUNYPoly, Albany. The cleanroom focus advanced packaging, called heterogeneous integration, improve memory proximity interconnect capabilities, according Khare. This work help ensure that, new compute cores developed, memory bandwidth increased tandem, said. Otherwise, compute units remain idle waiting data, leading unbalanced performance. AIs unprecedented demand data, power resources poses greatest challenge realizing optimistic vision future, wrote Khare. To meet demand, developing new class inherently energyefficient AI hardware accelerators increase compute power orders magnitude, hybrid cloud environments, demand increased energy. tweet shareshare email Related Content: Getting Exascale: Nothing Is EasyWhere Have You Gone, IBM?Nvidia Dominates MLPerf AI Benchmark Competition AgainEuroHPC: 4 Nvidiabased AI Supercomputers Coming Atos, HPE; 4 More WayIBM Launches 7nm POWER10 CPU Filed Under: Accelerator, Compute, Featured, Future Technology, Google News Feed, HPC Hardware, Machine Learning, News, Research Education Tagged With: cloud AI, hpc, hybrid cloud, IBM AI Hardware Center, IBM Red Hat, Red Hat Leave Comment Cancel replyName Email Website Notify followup comments email. Notify new posts email. Resource Links: Latest Video Recent Videos Industry Perspectives New, Open DPC Extensions Complement SYCL C In guest article, friends Intel discuss accelerated computing diversified past years given advances CPU, GPU, FPGA, AI technologies. This innovation drives need open crossplatform language allows developers realize potential new hardware, minimizes development cost complexity, maximizes reuse software investments. [READ MORE] White Papers UC San Diego Center Microbiome Innovation Breaks Data Bottlenecks In compelling use case provided friends HPC storage solution provider Panasas, look UC San Diego Center Microbiome Innovation CMI got number hurdles deploying Panasas ActiveStor highperformance storage solution. 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https://marketreportobserver.com/2020/01/27/smart-ai-toys-market-size-status-top-key-players-and-forecasts-2020-2028/ | 2020-01-27T00:00:00 | en | Smart AI Toys Market Size, Status, Top key players, and Forecasts 2020-2028 – Market Reports Observer |
Smart AI Toys Market Size, Status, Top key players, and Forecasts 2020-2028 – Market Reports Observer
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Smart AI Toys Market Size, Status, Top key players, and Forecasts 2020-2028
Smart AI Toys Market Size, Status, Top key players, and Forecasts 2020-2028
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on January 27, 2020
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Dec 23, 2019 (AmericaNewsHour) — An estimated 51.2 % of the global population was using internet by the end of 2018 – International Telecommunication Union (ITU)
CRIFAX added a new market research report on ‘GlobalSmart AI Toys Market, 2020-2028’to its database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, recent trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.
The growth of the global Smart AI Toys Market is majorly driven by increasing number of technical innovations and overall digital transformation in numerous industries throughout the world. The growth of economies through digitalization is one of the significant factors that are driving big giants to invest highly in digital transformation to change their business models in order to get value-producing opportunities and stay ahead of their competitors along with improving the consistency and quality of their services. From artificial intelligence, augmented reality and virtual reality to internet of things, the growing number of internet-connected devices around the world are contributing to the growth of the global Smart AI Toys market.
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The development in ICT industry on the back of growing number of internet users and data communication devices as well as networks is estimated to create significant opportunities in the global Smart AI Toys market throughout the forecast period (2020-2028). Geographically, the highest internet penetration was recorded in the North America region, followed by Europe during mid-2019.According to the statistics provided by the Internet World Stats, there were an estimated 4,536,248,808 internet users around the world in the mid-2019.Rising number of internet users and the overall increase in research and development activities in information and communication technology sector are some of the notable factors that are estimated to boost the demand for Smart AI Toys Market in upcoming years.
However, with rapidly changing technologies, companies need to keep up with these changes to attain significant advantage over their competitors in the market. In order to achieve this, it is important for them to train their professionals on timely basis. Not only will it help the marketers to stay ahead in their business but it will also help them to discover new applications from it.
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Furthermore, to provide better understanding of internal and external marketing factors, the multi-dimensional analytical tools such as SWOT and PESTEL analysis have been implemented in the global Smart AI Toys market report. Moreover, the report consists of market segmentation, CAGR (Compound Annual Growth Rate), BPS analysis, Y-o-Y growth (%), Porter’s five force model, absolute $ opportunity and anticipated cost structure of the market.
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CRIFAX is driven by integrity and commitment to its clients and provides cutting-edge marketing research and consulting solutions with a step-by-step guide to accomplish their business prospects. With the help of our industry experts having hands on experience in their respective domains, we make sure that our industry enthusiasts understand all the business aspects relating to their projects, which further improves the consumer base and the size of their organization. We offer wide range of unique marketing research solutions ranging from customized and syndicated research reports to consulting services, out of which, we update our syndicated research reports annually to make sure that they are modified according to the latest and ever-changing technology and industry insights. This has helped us to carve a niche in delivering ‘distinctive business services’ that enhanced our global clients’ trust in our insights and helped us to outpace our competitors as well.
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| Smart AI Toys Market Size, Status, Top key players, and Forecasts 2020-2028 | Smart AI Toys Market Size, Status, Top key players, Forecasts 20202028 Market Reports Observer Skip content 488 E 11th Ave, Eugene, OR 97401, USA 1 5416872347 [emailprotected] Market Reports Observer NASA Space Launches Rockets Satellites About Market Reports Observer NASA Space Launches Rockets Satellites About Smart AI Toys Market Size, Status, Top key players, Forecasts 20202028 Smart AI Toys Market Size, Status, Top key players, Forecasts 20202028 [emailprotected] Uncategorized January 27, 2020 0 Dec 23, 2019 AmericaNewsHour An estimated 51.2 global population internet end 2018 International Telecommunication Union ITU CRIFAX added new market research report GlobalSmart AI Toys Market, 20202028to database market research collaterals consisting overall market scenario prevalent future growth prospects, growth strategies key players stay ahead game. 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Us: CRIFAX Email: [emailprotected] U.K. Phone: 44 161 394 2021 U.S. Phone: 1 917 924 8284 More Related Report: Saas Enterprise Applications Market Speech Analytics Market 202028 Travel And Expense Management Software Market Cloud Server Market Mobile User Authentication Market Anti Malware Market Procurement Software Market This post originally published Market Reports Observer Tags: Smart AI Toys Market Post navigation Previous: Previous post: Laundry Folding Robots Market Report 2019: With Essential Analysis Market, Industry News Policies Regions, Top Manufacturers, Types Applications 2025 Market Size Market GrowthNext: Next post: Sunglass Market Recent Trends, Development,Growth Forecast 2016 2024 for: Latest News Sunglass Market Recent Trends, Development,Growth Forecast 2016 2024 January 27, 2020 Smart AI Toys Market Size, Status, Top key players, Forecasts 20202028 January 27, 2020 Laundry Folding Robots Market Report 2019: With Essential Analysis Market, Industry News Policies Regions, Top Manufacturers, Types Applications 2025 Market Size Market Growth January 27, 2020 Agriculture Robots Market Skyhigh projection Giants MA activity January 27, 2020 Transcriptomics Market Shares, Strategies Forecast Worldwide, 2016 2024 January 27, 2020 UltraHigh Strength Steel Market Set Rapid Growth Forecast 20192027 Key Players:ArcelorMittal SA, China BaoWu Steel Group Corporation Limited, Essar Steel January 27, 2020 Hydrogen Electrolyzer Market To Boom Near Future By 2024 Industry Key Players Nel Hydrogen, McPhy, Hydrogenics January 27, 2020 Growth Drymix Mixing Equipment Market derived growing CAGR 2020 2025 key vendors Munson, SOUTH, SMM, INOX, Henan Oriental Construction Machinery Co., Ltd., Xinxiang Beihai Mortar Complete Equipment January 27, 2020 Global Silicon Nitride Target MARKET 2019 GLOBAL ANALYSIS, TRENDS, FORECAST UP TO 2024 January 27, 2020 Inthewater Sports Equipment Revenue, Opportunity, Forecast Value Chain 20192020 January 27, 2020 2020Market Reports Observer.Built WordPress Highlight Theme | 2,020 | [
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https://www.taipeitimes.com/News/biz/archives/2020/10/23/2003745612 | 2020-10-22T00:00:00 | en | Acer expands into air purifiers and AI translators - Taipei Times |
Acer expands into air purifiers and AI translators - Taipei Times
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Fri, Oct 23, 2020 page11
Acer expands into air purifiers and AI translators
By Angelica Oung / Staff reporter
Acer Inc (宏碁) must “think outside of the PC,” as the computer vendor unveiled a new array of products from air purifiers to an artificial intelligence (AI) translator for gamers, company chairman Jason Chen (陳俊聖) said yesterday.
Speaking to reporters at the company’s headquarters in New Taipei City’s Sijhih District (汐止), Chen said that the company would continue to diversify its product portfolio.
“Just as Taiwan cannot solely rely on Taiwan Semiconductor Manufacturing Co (台積電), Acer cannot just rely on PCs,” Chen said.
Acer Inc chairman Jason Chen holds the company’s new energy drink products, targeted at gamers, at a news conference at the company’s headquarters in New Taipei City’s Sijhih District yesterday.
Photo: CNA
At the company’s “next@Acer” online event on Wednesday night, it unveiled the Acerpure air purifier, which is retailing for as much as NT$35,000 (US$1,211), as the company seeks to build brand recognition in the home appliance market.
Acer also introduced SigridWave, an in-game live AI translator designed to handle gaming terminology and jargon for its Planet9 eSports platform, the company said, adding that it is also expanding its line of gaming monitors.
In terms of peripherals, the company released the Halo range of smart speakers featuring Google Assistant, the company said in a press release.
As for its core PC business, Acer updated its Swift, Spin and Aspire ranges, and added new models aimed at business users and creators, it said.
The company also unveiled a laptop designed through a collaboration with Porsche Design, it said.
Under Chen’s leadership, Acer has tackled unlikely projects from smart prayer beads to the Predator range of energy drinks, which are available at FamilyMart convenience stores.
“We created the Predator energy drink with gamers in mind,” Chen said. “It is doing really well.”
Comments will be moderated. Keep comments relevant to the article. Remarks containing abusive and obscene language, personal attacks of any kind or promotion will be removed and the user banned. Final decision will be at the discretion of the Taipei Times.
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| Acer expands into air purifiers and AI translators | Acer expands air purifiers AI translators Taipei Times Front Page Taiwan News Business Editorials Sports World News Features Bilingual Pages All Front Page Taiwan News Business Editorials Sports World News Features Bilingual Pages GO Home Business Fri, Oct 23, 2020 11 Acer expands air purifiers AI translators By Angelica Oung Staff reporter Acer think outside PC, vendor unveiled new array products air purifiers artificial intelligence AI translator gamers, company chairman Jason Chen said yesterday. Speaking reporters companys headquarters New Taipei Citys Sijhih District , Chen said company continue diversify product portfolio. Just Taiwan solely rely Taiwan Semiconductor Manufacturing Co , Acer rely PCs, Chen said. Acer chairman Jason Chen holds companys new energy drink products, targeted gamers, news conference companys headquarters New Taipei Citys Sijhih District yesterday. Photo: CNA At companys online event Wednesday night, unveiled Acerpure air purifier, retailing NT35,000 US1,211, company seeks build brand recognition home appliance market. Acer introduced SigridWave, ingame live AI translator designed handle gaming terminology jargon Planet9 eSports platform, company said, adding expanding line gaming monitors. In terms peripherals, company released Halo range smart speakers featuring Google Assistant, company said press release. As core PC business, Acer updated Swift, Spin Aspire ranges, added new models aimed business users creators, said. The company unveiled laptop designed collaboration Porsche Design, said. Under Chens leadership, Acer tackled unlikely projects smart prayer beads Predator range energy drinks, available FamilyMart convenience stores. We created Predator energy drink gamers mind, Chen said. It well. Comments moderated. Keep comments relevant article. Remarks containing abusive obscene language, personal attacks kind promotion removed user banned. Final decision discretion Taipei Times. Most Popular 1Taiwan fortify attack: US 2Walter Lohman On Taiwan: Taiwan Americas Singapore 3Beijing respect air travel: minister 4MOFA condemns PRC Fiji fracas 5World urged denounce Fiji incident You like Chipbond buys 31 stake flash memory company 20201017 WINWIN SITUATION: Customers, products client portfolios companies complementary, allowing inroads new fields, Chipbonds chairman said Chipbond Technology Corp yesterday said plans acquire 31 percent stake Orient Semiconductor Electronics Ltd cashandshare deal, aiming inroads flash memorychip packaging. Chipbond said strategic alliance open door company enter flash memorychip packaging testing market, new business Hsinchubased company. Chipbond primarily provides testing packaging services driver integrated circuits flat panels. BUSINESS OPPORTUNITY Except flash memory chips, saw lot new businesses require technologies Chipbond Oriental By Lisa Wang Mandarin Hotel offer room operations 20201020 Luxury hotel Mandarin Oriental Taipei plans reopen guestrooms December advantage boom domestic travel. The reopening come months fivestar facility suspended room operations cut costs countries region impose border controls contain COVID19 pandemic, diminishing demand business travel. We delighted share Mandarin Oriental Taipei resume room operations December 1, hotel said statement yesterday. The hotel Songshan District said adopt stringent health safety practices ensure wellbeing guests employees. It By Crystal Hsu The China? India needs beat Bangladesh 20201018 Indias COVID19 economic gloom turned despair week, news capita GDP year lower Bangladesh. Any emerging economy good news, Kaushik Basu, World Bank chief economist, said Twitter IMF updated World Economic Outlook. But shocking India, lead 25 years ago, trailing. Ever began opening economy 1990s, Indias dream emulate Chinas rapid expansion. After decades persevering campaign, slipping Bangladesh hurts By Andy Mukherjee Hon Hai expand electric car branch 20201017 BROADER STANCE: While growth core consumer electronics assembly business decreasing, manufacturing giant aims 10 percent gross margin Hon Hai Precision Industry Co said aims secure 10 percent share worlds electric vehicle market 2025, 3 million vehicles potentially platform. The electronics giant yesterday unveiled plan expand nascent automobile business, saying seeks offset slowing growth core consumer electronics assembly business. The company outlined plans release solidstate battery 2024 potentially displace commonly lithiumion batteries electric vehicles. Hon Hai plans achieve ambitious target making software hardware platforms open, Hon Hai By Angelica Oung Front Page Taiwan News Business Editorials Sports World News Features Bilingual Pages Employment Us RSS 19992020 The Taipei Times. . | 2,020 | [
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https://www.businesschief.com/technology-and-ai/imperva-making-case-cybersecurity-investment | 2020-08-02T00:00:00 | en | Imperva: Making the case for cybersecurity investment | Technology & AI | Business Chief North America | Imperva: Making the case for cybersecurity investment | Technology & AI | Business Chief North America | Imperva: Making the case for cybersecurity investment | Imperva: Making case cybersecurity investment Technology AI Business Chief North America | 2,020 | [
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https://www.expresscomputer.in/interviews/we-are-using-ai-and-big-data-to-measure-customer-behaviour-demographic-and-cx-metrics/61150/ | 2020-07-24T00:00:00 | en | ‘We are using AI and big data to measure customer behaviour, demographic, and CX metrics’ - Express Computer | ‘We are using AI and big data to measure customer behaviour, demographic, and CX metrics’ - Express Computer Express Computer Likes Followers Subscribers Followers Likes Followers Followers Followers Sign in / Join Welcome, Login to your account. Forget password? Remember me Login with your Social ID No account? Sign Up Sign in Recover your password.A password will be e-mailed to you. Friday, July 24, 2020HomeDigital IssueAdvertise With UsAbout UsContact UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD & HOSPITALITYEF&H EXPOPrivacy PolicyTechnology and IT Bloggers – Earn Money Express Computer - Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data / AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma & Healthcare TrackEducation TrackRetail, ECommerce & QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperE-book Home » Interviews » ‘We are using AI and big data to measure customer behaviour, demographic, and CX metrics’ ‘We are using AI and big data to measure customer behaviour, demographic, and CX metrics’One of India’s biggest B2B commerce marketplace, ShakeDeal has been emphasising on digital-first and customer centric processes. In an interaction with Express Computer, Santhosh Reddy, Co-founder and VP – Technology, ShakeDeal, outlines how ShakeDeal is leveraging emerging technologies in this directionInterviewsArtificial Intelligence (AI)Big Data / AnalyticsExclusives By Mohit Rathod On Jul 24, 2020 0 21 Share Read Article Santhosh Reddy, Co-founder and VP – Technology, ShakeDealWhat’s your assessment of the Covid-19 disruption, in terms of the challenges and opportunities for the B2B e-commerce vertical? Covid-19 has proved to be a watershed moment for the online commerce industry. It has brought unprecedented disruption, tested the resiliency of business models and accelerated the pace of digital transformation. Lockdowns did pose a hurdle, in the March-April period, and free movement of goods was hampered. But with relaxation in lockdown rules, things improved. Lockdowns resulted in pent up demand, especially for essentials, IT products and safety products. There has been a significant surge in demand for hygiene essentials and protective masks. Covid-19 has presented a unique opportunity to business owners to revisit their product and services category and pivot towards sustainability.How was ShakeDeal’s preparedness to address the challenges posed by the situation, with regards to IT and digital practices and organisation culture? To ensure business continuity in the wake of disruption, we focused on two traits: preparedness and resilience. Even before the pandemic, we were working in an agile business environment and had business continuity plans in place to tackle disruptions in business operations. We are continually working towards improving our processes to future proof our business. We acted swiftly and implemented arrangements of remote access infrastructure, tools for the workforce and advised staff to work from home even before the lockdown started. We have always been a digital-first organisation, and our workforce has been using collaborative tools like Zoom and Slack for brainstorming and working with remote teams in different geographies.What have been the major trend shifts among your customers during this period? Consumers are buying more hygiene essentials, protective face masks, disinfectants, etc. More and more consumers are opting for digital payments. As income levels are stressed, there has been a shift towards lending or credit-based payments. We are witnessing that more customers are placing orders through ShakeDeal’s PartPay option . PartPay allows consumers to place an order by paying 30 per cent of the order value, applicable for order values over Rs 5,000, and remaining on the delivery of goods. This payment method is getting more traction because it does not have any hidden fees or charges.How artificial intelligence and other emerging technologies transform the customer experience, and what are your efforts in this direction? AI and machine learning chatbots are improvising customer experience remarkably. These technologies have changed the way companies interact with their customers. At ShakeDeal, we are following a customer-centric culture. We are using AI and big data to measure customer behaviour, demographic, and other customer experience metrics. We at ShakeDeal have developed Customer Experience Management (CXM) that works in tandem with multiple departments like product management, marketing, sales, operations, and other departments.How are you leveraging data and technologies such as analytics to target potential buyers, boost personalisation and increase sales? At ShakeDeal, we have widely embraced google analytics and other technologies to streamline operation, improve processes and get more customers. We do create the entire user lifecycle by tracking the user’s journey on our website, pages, and product interest. We are using AI and ML in the search to ensure each customer gets the right product instantly. Based on a user journey map, we have created omnichannel marketing campaigns – newsletters for popular and newly added products, automated shopping cart reminder emails and notification for latest coupon codes – based on user’s behaviour, location, and lifecycle stage. For seamless customer service experience and increased sales, we are tracking customer queries on social media channels and providing solutions at the same time.How will digital adoption power the post-lockdown revival and create a new industry normal? What are ShakeDeal’s focus areas in the near future? Even in the pre-Covid era, companies were embracing digital processes, but it was slow. The pace of digital transformation is a necessity now. Businesses are making the switch from offline to online. In the new normal, companies need to leverage digital platforms to get access to buyers and suppliers. Digital onboarding of vendors has become mainstream. At ShakeDeal, we have started engaging more deeply with our existing customers and partners to see how we can help them by offloading some of their procurement related activities. There is also a renewed interest from a lot of businesses to have a more strategic procurement partner and we are building necessary tools, products and services to help them in their digital transformation. If you have an interesting article / experience / case study to share, please get in touch with us at [email protected]Advertisement B2B MarketplaceCovid-19customer behaviourcustomer experiencee commerceSanthosh ReddyShakeDeal 0 21 Share Get real time updates directly on you device, subscribe now. Subscribe Mohit Rathod Mohit Rathod reports on the spectrum of enterprise IT and associated areas, including government focused IT developments. He can be reached at [email protected]Subscribe to our newsletterSign up here to get the latest news, updates delivered directly to your inbox.SubscribeYou can unsubscribe at any time Facebook Twitter Youtube Instagram Prev PostBig Data & The Big Fight – Virtual Conclave 2020 | East Zone | 23rd July 2020Next Post Fortinet Acquires OPAQ Networks, A Cloud Security and Networking Innovator You might also like More from author News Fortinet Acquires OPAQ Networks, A Cloud Security and Networking Innovator News Axis Bank’s FY 20-21, Q1: Digital banking numbers soar Cloud IBM and Bank of America advance IBM Cloud for financial services, BNP Paribas joins… Guest Blogs Making WFA, Work! Prev Next Leave A Reply Cancel ReplyLogin with your Social IDYour email address will not be published.Save my name, email, and website in this browser for the next time I comment. Digital Transformation Series SIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave this field empty if you're human: Stay With Us 8,895 Likes 1,806 Followers Youtube Subscribers RSS Subscribe Linkedin Followers Instagram Followers Digital Issue April 2020: Driving Excellence Through Digital Initiatives March 2020: Redefining Data Centres Prev Next 1 of 37Upcoming Events Cloud: Seize the opportunity to re-model and re-imagine a new world July 29| 10:00 am - 6:00 pm Big Data & The Big Fight | West Zone – 31st July 2020 July 31| 3:00 pm - 4:30 pm Big Data & The Big Fight | South Zone – 6th August 2020 August 6| 3:00 pm - 4:30 pm View All EventsAdvertisement Facebook Join us on Facebook Linkedin Follow us Twitter Join us on Twitter Instagram Join us on Instagram Express Computer is one of India's most respected IT media brands and has been in publication for 24 years running. 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| ‘We are using AI and big data to measure customer behaviour, demographic, and CX metrics’ | We AI big data measure customer behaviour, demographic, CX metrics Express Computer Express Computer Likes Followers rs Followers Likes Followers Followers Followers Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. Friday, July 24, 2020HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money Express Computer Digital Magazine, Latest Computer Magazine, India Advertisement HomeRPAAIBig Data AnalyticsBlockchainCloudData CenterIoTMobilityNetworkingOpen SourceSecuritySoftwareStorageUCNewseGov WatchInterviewsEditorialsFeaturesGuest BlogsColumnsCase StudiesIndustriesBFSIEducationStartupEventsUpcoming EventsVideosEvent VideosDigital TechSenatePharma Healthcare TrackEducation TrackRetail, ECommerce QSR TrackBFSI TrackTechnology SabhaTechnology SenateBFSI Tech ConclaveEmerging Tech ConclaveSmart Manufacturing ConclaveHITSExclusive InterviewsFireside ChatWebinarsWeekly WrapUpDigital Transformation SeriesDigital MasterclassCXO BytesEC BuzzExplainer VideosTestimonialsSlideshowsDownloadsWhitepaperEbook Home Interviews We AI big data measure customer behaviour, demographic, CX metrics We AI big data measure customer behaviour, demographic, CX metricsOne Indias biggest B2B commerce marketplace, ShakeDeal emphasising digitalfirst customer centric processes. In interaction Express Computer, Santhosh Reddy, Cofounder VP Technology, ShakeDeal, outlines ShakeDeal leveraging emerging technologies directionInterviewsArtificial Intelligence AIBig Data AnalyticsExclusives By Mohit Rathod On Jul 24, 2020 0 21 Share Read Article Santhosh Reddy, Cofounder VP Technology, ShakeDealWhats assessment Covid19 disruption, terms challenges opportunities B2B ecommerce vertical? Covid19 proved watershed moment online commerce industry. It brought unprecedented disruption, tested resiliency business models accelerated pace digital transformation. Lockdowns pose hurdle, MarchApril period, free movement goods hampered. But relaxation lockdown rules, things improved. Lockdowns resulted pent demand, especially essentials, IT products safety products. There significant surge demand hygiene essentials protective masks. Covid19 presented unique opportunity business owners revisit product services category pivot sustainability.How ShakeDeals preparedness address challenges posed situation, regards IT digital practices organisation culture? To ensure business continuity wake disruption, focused traits: preparedness resilience. Even pandemic, working agile business environment business continuity plans place tackle disruptions business operations. We continually working improving processes future proof business. We acted swiftly implemented arrangements remote access infrastructure, tools workforce advised staff work home lockdown started. We digitalfirst organisation, workforce collaborative tools like Zoom Slack brainstorming working remote teams different geographies.What major trend shifts customers period? Consumers buying hygiene essentials, protective face masks, disinfectants, etc. More consumers opting digital payments. As income levels stressed, shift lending creditbased payments. We witnessing customers placing orders ShakeDeals PartPay option . PartPay allows consumers place order paying 30 cent order value, applicable order values Rs 5,000, remaining delivery goods. This payment method getting traction hidden fees charges.How artificial intelligence emerging technologies transform customer experience, efforts direction? AI machine learning chatbots improvising customer experience remarkably. These technologies changed way companies interact customers. At ShakeDeal, following customercentric culture. We AI big data measure customer behaviour, demographic, customer experience metrics. We ShakeDeal developed Customer Experience Management CXM works tandem multiple departments like product management, marketing, sales, operations, departments.How leveraging data technologies analytics target potential buyers, boost personalisation increase sales? At ShakeDeal, widely embraced google analytics technologies streamline operation, improve processes customers. We create entire user lifecycle tracking users journey website, s, product interest. We AI ML search ensure customer gets right product instantly. Based user journey map, created omnichannel marketing campaigns newsletters popular newly added products, automated shopping cart reminder emails notification latest coupon codes based users behaviour, location, lifecycle stage. For seamless customer service experience increased sales, tracking customer queries social media channels providing solutions time.How digital adoption power postlockdown revival create new industry normal? What ShakeDeals focus areas near future? Even preCovid era, companies embracing digital processes, slow. The pace digital transformation necessity now. Businesses making switch offline online. In new normal, companies need leverage digital platforms access buyers suppliers. Digital onboarding vendors mainstream. At ShakeDeal, started engaging deeply existing customers partners help offloading procurement related activities. There renewed lot businesses strategic procurement partner building necessary tools, products services help digital transformation. If interesting article experience case study share, touch [emailprotected]Advertisement B2B MarketplaceCovid19customer behaviourcustomer experiencee commerceSanthosh ReddyShakeDeal 0 21 Share Get real time updates directly device, subscribe now. Mohit Rathod Mohit Rathod reports spectrum enterprise IT associated areas, including government focused IT developments. He reached [emailprotected] newsletterSign latest news, updates delivered directly inbox.You unsubscribe time Facebook Twitter Youtube Instagram Prev PostBig Data The Big Fight Virtual Conclave 2020 East Zone 23rd July 2020Next Post Fortinet Acquires OPAQ Networks, A Cloud Security Networking Innovator You like More author News Fortinet Acquires OPAQ Networks, A Cloud Security Networking Innovator News Axis Banks FY 2021, Q1: Digital banking numbers soar Cloud IBM Bank America advance IBM Cloud financial services, BNP Paribas joins Guest Blogs Making WFA, Work Prev Next Leave A Reply Cancel Reply Social IDYour email address published.Save name, email, website browser time I comment. Digital Transformation Series SIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave field youre human: Stay With Us 8,895 Likes 1,806 Followers Youtube rs RSS Linkedin Followers Instagram Followers Digital Issue April 2020: Driving Excellence Through Digital Initiatives March 2020: Redefining Data Centres Prev Next 1 37Upcoming Events Cloud: Seize opportunity remodel reimagine new world July 29 10:00 6:00 pm Big Data The Big Fight West Zone 31st July 2020 July 31 3:00 pm 4:30 pm Big Data The Big Fight South Zone 6th August 2020 August 6 3:00 pm 4:30 pm View All EventsAdvertisement Facebook Join Facebook Linkedin Follow Twitter Join Twitter Instagram Join Instagram Express Computer Indias respected IT media brands publication 24 years running. We cover enterprise technology flavours, including processors, storage, networking, wireless, business applications, cloud computing, analytics, green initiatives help companies ICT investments. Additionally, report fast emerging realm eGovernance India. [emailprotected]LinksHomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn MoneySIGNUP FREE NEWSLETTER First Name Last Name Email address: Leave field youre human: HomeDigital IssueAdvertise With Us UsSubscriptionsNewsletter SubscriptionsSubmit Press ReleaseSubmit Guest BlogsNetworkPHARMAHEALTHCARECOMPUTERCRNTRAVELFOOD HOSPITALITYEFH EXPOTechnology IT Bloggers Earn Money The Indian Express Pvt. Ltd. . Sign Join Welcome, account. Forget password? Remember Social ID No account? Sign Up Sign Recover password.A password emailed you. | 2,020 | [
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] | 1 | NEGATIVE | 694 |
https://fusionscienceacademy.com/artificial-intelligence-in-accounting-market-analysis-revenue-price-market-share-growth-rate-forecast-to-2025/ | 2020-01-26T00:00:00 | en | Artificial Intelligence in Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025 – Fusion Science Academy |
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Artificial Intelligence in Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025
Published 2 mins ago on January 26, 2020
By Alex
The research study provided by DataIntelo on Global Artificial Intelligence in Accounting Industry offers strategic assessment of the Artificial Intelligence in Accounting Market. The industry report focuses on the growth opportunities, which will help the Global Artificial Intelligence in Accounting Market to expand operations in the existing markets.
Request Exclusive Free Sample PDF Of This Report At https://dataintelo.com/request-sample/?reportId=15253
Next, in this report, you will find the competitive scenario of the major market players focusing on their sales revenue, customer demands, company profile, import/export scenario, business strategies that will help the emerging market segments in making major business decisions. The market contains the ability to become one of the most lucrative industries as factors related to this market such as raw material affluence, financial stability, technological development, trading policies, and increasing demand are boosting the market growth. Therefore, the market is expected to see higher growth in the near future and greater CAGR during the forecast period from 2019 to 2026.
Major Players included in this report are as follows – Microsoft (US)AWS (US)Xero (New Zealand)Intuit (US)Sage (England)OSP (US)UiPath (US)Kore.ai (US)AppZen (US)YayPay (US)IBM (US)Google (US)EY (UK)Deloitte (US)PwC (UK)KPMG (Netherlands)SMACC (Germany)OneUp (US)Vic.ai (US)Hyper Anna (Australia)Botkeeper (US)MindBridge Analytics (Canada)
Artificial Intelligence in Accounting Market can be segmented into Product Types as – HardwareSoftwareService
Artificial Intelligence in Accounting Market can be segmented into Applications as – Automated BookkeepingInvoice Classification and ApprovalsFraud and Risk ManagementOthers
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Artificial Intelligence in Accounting Market: Regional analysis includes: Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) North America (United States, Mexico, and Canada.) South America (Brazil etc.) The Middle East and Africa (GCC Countries and Egypt.)
The Artificial Intelligence in Accounting Market Report regulates a complete analysis of the parent market including dependent and independent sectors. The report provides strategic recommendations with the senior analysts consultation that gives a clear perspective to clients as to which strategy will help them best to penetrate a market. Further, the report sheds light on the raw material sources, organizational structure, production processes, capacity utilization, value chain, pricing structure, technologies, equipment, product specifications distribution channel, and serving segments. It demonstrates graphical information with figures and pictures for elucidation.
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Key Highlights of This Report: – The report covers Artificial Intelligence in Accounting applications, market dynamics, and the study of emerging and existing market segments. It portrays market overview, product classification, applications, and market volume forecast from 2019-2026. – It provides analysis on the industry chain scenario, key market players, market volume, upstream raw material details, production cost, and marketing channels. – The growth opportunities, limitations to the market growth are identified using the SWOT analysis – It conducts the feasibility study, explores the industry barriers, data sources and provides key research findings – The report delivers analysis on consumption volume, region-wise import/export analysis and forecast market from 2019-2026.
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About DataIntelo: DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports.
Contact Info – DataIntelo Name – Alex Mathews Email – [email protected] Website – https://dataintelo.com Address – 500 East E Street, Ontario, CA 91764, United States.
Author Recent Posts Alex Latest posts by Alex (see all) Facial Shave Foam Market 2019 | Industry Size, Trends, Global Growth, Insights and Forecast Research Report 2025 - January 26, 2020 Geo-Marketing Market Recent Developments & Emerging Trends To 2025 - January 26, 2020 Overprint Varnish Market To Witness Robust Expansion Throughout The Forecast Period 2019 – 2025 - January 26, 2020
Related Topics:Artificial Intelligence in Accounting MarketArtificial Intelligence in Accounting Market analysisArtificial Intelligence in Accounting Market forecastArtificial Intelligence in Accounting Market playersArtificial Intelligence in Accounting Market scopeArtificial Intelligence in Accounting Market ShareArtificial Intelligence in Accounting Market sizeArtificial Intelligence in Accounting Market trends
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| Artificial Intelligence in Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025 | Artificial Intelligence Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025 Fusion Science Academy Our Writers Us Join Our Newsletter Connect Fusion Science Academy Artificial Intelligence Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025 MARKET REPORT SPACE SATELLITE NASA ENERGY Us MARKET REPORT Artificial Intelligence Accounting Market Analysis, Revenue, Price, Market Share, Growth Rate, Forecast To 2025 Published 2 mins ago January 26, 2020 By Alex The research study provided DataIntelo Global Artificial Intelligence Accounting Industry offers strategic assessment Artificial Intelligence Accounting Market. The industry report focuses growth opportunities, help Global Artificial Intelligence Accounting Market expand operations existing markets. 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Major Players included report follows Microsoft USAWS USXero New ZealandIntuit USSage EnglandOSP USUiPath USKore.ai USAppZen USYayPay USIBM USGoogle USEY UKDeloitte USPwC UKKPMG NetherlandsSMACC GermanyOneUp USVic.ai USHyper Anna AustraliaBotkeeper USMindBridge Analytics Canada Artificial Intelligence Accounting Market segmented Product Types HardwareSoftwareService Artificial Intelligence Accounting Market segmented Applications Automated BookkeepingInvoice Classification ApprovalsFraud Risk ManagementOthers To Buy report delivered inbox, visit Artificial Intelligence Accounting Market: Regional analysis includes: AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Europe Turkey, Germany, Russia UK, Italy, France, etc. North America United States, Mexico, Canada. South America Brazil etc. The Middle East Africa GCC Countries Egypt. 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South America Brazil etc. The Middle East Africa GCC Countries Egypt. Target Audience: Facial Shave Foam Equipment Manufacturers Traders, Importers, Exporters Raw Material Suppliers Distributors Research Consulting Firms Government Research Organizations Associations Industry Bodies Stakeholders, marketing executives business owners planning refer market research report use study design offerings understand competitors attract potential customers manage supply distribution channels. When tracking trends researchers conscious effort analyse interpret consumer behaviour. Besides, research helps product owners understand changes culture, target market brands draw attention potential customers effectively. Customize Report Inquiry The Facial Shave Foam Market Report: Report structure: In recently published report, provided unique insight Facial Shave Foam Industry forecasted period. The report covered significant aspects contributing growth global Facial Shave Foam Market. 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Table Contents 1 Industry Overview Facial Shave Foam 2 Manufacturing Cost Structure Analysis 3 Development Manufacturing Plants Analysis Facial Shave Foam 4 Key Figures Major Manufacturers 5 Facial Shave Foam Regional Market Analysis 6 Facial Shave Foam Segment Market Analysis Type 7 Facial Shave Foam Segment Market Analysis Application 8 Facial Shave Foam Major Manufacturers Analysis 9 Development Trend Analysis Facial Shave Foam Market 10 Marketing Channel 11 Market Dynamics 12 Conclusion 13 Appendix Ask Discount Facial Shave Foam Market Report at: About DataIntelo: DATAINTELO set benchmark market research industry providing syndicated customized research report clients. The database company updated daily basis prompt clients latest trends indepth analysis industry. Our pool database contains industry verticals include: IT Telecom, Food Beverage, Automotive, Healthcare, Chemicals Energy, Consumer foods, Food beverages, more. 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Us 616 Corporate Way, Suite 29018,Valley Cottage, NY 10989,United StatesT: 13479183531F: 18455795705T UK: 44 0 20 7692 8790 Author Recent Posts Alex Latest posts Alex Facial Shave Foam Market 2019 Industry Size, Trends, Global Growth, Insights Forecast Research Report 2025 January 26, 2020 GeoMarketing Market Recent Developments Emerging Trends To 2025 January 26, 2020 Overprint Varnish Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 January 26, 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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https://nysenewstimes.com/bfsi-artificial-intelligence-market-size-2019-share-growth-rate-and-gross-margin-development-trends-industry-forecast-report-2025/ | 2020-03-04T00:00:00 | en | BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate and Gross Margin, Development Trends & Industry Forecast Report 2025 – Nyse News Times |
BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate and Gross Margin, Development Trends & Industry Forecast Report 2025 – Nyse News Times
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BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate and Gross Margin, Development Trends & Industry Forecast Report 2025
[email protected] March 4, 2020
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BFSI Artificial Intelligence market size
The Detailed Market intelligence report on the BFSI Artificial Intelligence Market applies the most effective of each primary and secondary analysis to weighs upon the competitive landscape and also the outstanding market players expected to dominate BFSI Artificial Intelligence Market place for the forecast 2019– 2025.
Scope of The Report:
Risk mitigation, fraud detection, and back-end office works with numerous people processing user requests are enhanced with the assistance of AI-based methods such as machine learning, chatbots, and other such technologies, which powers the development of the market.
Global BFSI Artificial Intelligence Market is valued at USD XXX Million in 2018 and expected to reach USD XXX Million by 2025 with a CAGR of XX% over the forecast period.
Artificial intelligence is a branch of computer science that aims on the making of intelligent devices that perform tasks and work like humans. Hence, it has turned out be an important fraction of tech in the BFSI sector. In financial agencies and other major finance sectors, AI has turned out to be a major adaption of each business and is predicted to alter the general scenario of service offerings.
The BFSI market has looped into an AI-supported solution for a number of conventional banking issues such as elevated capital demand. For example, insurance firms are enhancing risk models to preserve client satisfaction and customer loyalty, with the assistance of enhanced AI tech platforms.
By offerings, the global market is segmented into software, hardware, and services. The software section added up for the biggest income, due to the fact these services profit financial sectors immensely to verify data, trace transactions, extract information, and generate reports related to customers. Moreover, analysis and security of KYC (know your customer) process for verification are simplified highly by software tools in BFSI artificial intelligence market.
Based on solution, the BFSI artificial intelligence market is divided into fraud detection & prevention, data analytics & prediction, chatbots, customer relationship management, anti-money laundering, and others. The chatbots section created the biggest revenue and is predicted to carry on the same during the coming period.
Due to the fact that chatbots, which are fueled by NLP, improve on-boarding processes, offer financial institutions and banks the access to swiftly help common user service queries, and improve sales effectiveness. Moreover, it improves cost-savings by lowering customer acquisition price at a huge scale and gathers real-time feedback from users in the market.
Get Discount:https://brandessenceresearch.com/DiscountOffers/RequestOffer/662
Key Players in the BFSI Artificial Intelligence Market Report
The major players included in the global BFSI artificial intelligence market forecast are Baidu, Inc., Alphabet Inc. (Google), Intel Corporation, Inbenta Technologies, Inc., Microsoft Corporation, International Business Machines Corporation (IBM), Palantir Technologies Inc., Oracle Corporation, salesforce.com, inc, SAP SE., Digital Reasoning Inc., Lexalytics Inc., Ipsoft Inc., Interaction LLC, Inc., and Zest Finance.
Key Market Segments:
By Offerings
Hardware
Software
Services
By Solution
Chatbots
Fraud Detection & Prevention
Anti-Money Laundering
Customer Relationship Management
Data Analytics & Prediction
Others
By Technology
Deep Learning
Querying Method
Natural Language Processing
Context Aware Processing
Proactive User Experience By Automating Backend Procedure To Lower Human Error Predicted To Power The Development Of The BFSI Artificial Intelligence Market
Proactive user experience by automating backend procedure to lower human error, with the assistance of AI, is predicted to power the development of the BFSI artificial intelligence market. Moreover, robo-advisors and chatbots for smart wallets and financial products are some of the reasons that power the market growth. Moreover, risk mitigation, fraud detection, and back-end office works with numerous people processing users requests are enhanced with the assistance of AI-based methods such as machine learning, chatbots, and other such technologies, which powers the development of the market.
Market by Regional Analysis
North America (USA, Canada, Mexico), Europe (UK, France, Germany, Russia, Rest of Europe), Asia-Pacific (China, South Korea, India, Japan, Rest of Asia-Pacific), LAMEA, Latin America, Middle East, Africa.
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| BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate and Gross Margin, Development Trends & Industry Forecast Report 2025 | BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate Gross Margin, Development Trends Industry Forecast Report 2025 Nyse News Times Skip content Wednesday, March 04, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Industry Analysis Industry Reports Market Analysis Market Research Technology BFSI Artificial Intelligence Market Size 2019, Share, Growth Rate Gross Margin, Development Trends Industry Forecast Report 2025 [emailprotected] March 4, 2020 No Comments BFSI Artificial Intelligence market size The Detailed Market intelligence report theBFSI Artificial Intelligence Marketapplies effective primary secondary analysis weighs competitive landscape outstanding market players expected dominate BFSI Artificial Intelligence Market place forecast 2019 2025. Scope The Report: Risk mitigation, fraud detection, backend office works numerous people processing user requests enhanced assistance AIbased methods machine learning, chatbots, technologies, powers development market. Global BFSI Artificial Intelligence Market valued USD XXX Million 2018 expected reach USD XXX Million 2025 CAGR XX forecast period. Artificial intelligence branch science aims making intelligent devices perform tasks work like humans. Hence, turned important fraction tech BFSI sector. In financial agencies major finance sectors, AI turned major adaption business predicted alter general scenario service offerings. The BFSI market looped AIsupported solution number conventional banking issues elevated capital demand. For example, insurance firms enhancing risk models preserve client satisfaction customer loyalty, assistance enhanced AI tech platforms. By offerings, global market segmented software, hardware, services. The software section added biggest income, fact services profit financial sectors immensely verify data, trace transactions, extract information, generate reports related customers. Moreover, analysis security KYC know customer process verification simplified highly software tools BFSI artificial intelligence market. Based solution, BFSI artificial intelligence market divided fraud detection prevention, data analytics prediction, chatbots, customer relationship management, antimoney laundering, others. The chatbots section created biggest revenue predicted carry coming period. Due fact chatbots, fueled NLP, improve onboarding processes, offer financial institutions banks access swiftly help common user service queries, improve sales effectiveness. Moreover, improves costsavings lowering customer acquisition price huge scale gathers realtime feedback users market. Get Discount: Key Players BFSI Artificial Intelligence Market Report The major players included global BFSI artificial intelligence market forecast Baidu, ., Alphabet . Google, Intel Corporation, Inbenta Technologies, ., Microsoft Corporation, International Business Machines Corporation IBM, Palantir Technologies ., Oracle Corporation, , inc, SAP SE., Digital Reasoning ., Lexalytics ., Ipsoft ., Interaction LLC, ., Zest Finance. Key Market Segments: By Offerings Hardware Software Services By Solution Chatbots Fraud Detection Prevention AntiMoney Laundering Customer Relationship Management Data Analytics Prediction Others By Technology Deep Learning Querying Method Natural Language Processing Context Aware Processing Proactive User Experience By Automating Backend Procedure To Lower Human Error Predicted To Power The Development Of The BFSI Artificial Intelligence Market Proactive user experience automating backend procedure lower human error, assistance AI, predicted power development BFSI artificial intelligence market. Moreover, roboadvisors chatbots smart wallets financial products reasons power market growth. Moreover, risk mitigation, fraud detection, backend office works numerous people processing users requests enhanced assistance AIbased methods machine learning, chatbots, technologies, powers development market. Market Regional Analysis North America USA, Canada, Mexico, Europe UK, France, Germany, Russia, Rest Europe, AsiaPacific China, South Korea, India, Japan, Rest AsiaPacific, LAMEA, Latin America, Middle East, Africa. Get Full information This [emailprotected] Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global Peripheral Component Interconnect Express Market 20202026 Know About Brand Players: Intel Corporation, Texas Instrument, Microsemi, Samsung Electronics, Nvidia, etc.Next Next post: Railmounted Oxygen Flow Meter Market Growth Detail Analysis Top key Companies DZ Medicale, Heyer Medical, Ohio Medical, Megasan Medical Recent Posts Severe Duty Motor Market [ PDF ] Accelerating Immense Growth During 20202026 Emerging Top Key Players: ABB, Mitsubishi, Toshiba, Siemens, XIANGTAN ELECTRIC Security Risk Analysis Software MARKET [ PDF ] 2020 TOP BUSINESS GROWING STRATEGIES, TECHNOLOGICAL INNOVATION AND EMERGING TRENDS OF OUTLOOK TO 2026 Workstation Computer Market Analysis, Trends, Forecast, 20192025 United States European Union China Automotive Vents Market Demand Analysis, Statistics, Trends Investment Opportunities 2023 CPE G.Fast Chipset Industry Ongoing Qualitative Analysis Impacting Factors 2020 BroadcomUS, Sckipio TechnologyIsrael, Metanoia CommunicationTaiwan Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://www.businesschief.com/technology-and-ai/walmart-canada-looks-implement-supply-chain-analytics-fourkites | 2020-08-03T00:00:00 | en | Walmart Canada looks to implement supply chain analytics with FourKites | Technology & AI | Business Chief North America | Walmart Canada looks to implement supply chain analytics with FourKites | Technology & AI | Business Chief North America | Walmart Canada looks to implement supply chain analytics with FourKites | Walmart Canada looks implement supply chain analytics FourKites Technology AI Business Chief North America | 2,020 | [
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https://www.efficientplantmag.com/2020/09/integrated-ai/ | 2020-09-04T00:00:00 | en | Integrated AI - Efficient Plant |
Integrated AI - Efficient Plant
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EP Editorial Staff | September 2, 2020
Augmented reality (AR) technology is part of the Plantweb Optics asset-performance platform.
The system provides enhanced access to real-time diagnostics and analytics and live remote assistance to workers maintaining and optimizing plant equipment. The software leverages artificial intelligence, machine-learning analytics, and data contextualization to add real-time visibility to plant reliability and operational performance. Unlike standalone AR solutions that require custom engineering, AR is integrated into the system.
Emerson
Austin, TX
emerson.com
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| Integrated AI | Integrated AI Efficient Plant Magazine Advertise Request Media Kit Archive Digital Issues Us PrintDigital Magazine Newsletters Events Resources Webinars Podcasts White Papers Training Programs Reliability Products 360 Us Advertise Staff facebook twitter linkedin youtube Reliability Reliability Condition Monitoring CMMS Maintenance Predictive Maintenance Preventive Maintenance Reliability Engineering Software Engineer Safer Conveyors SAP S4HANA Tracks Purchasing Functions Why Your MES Struggles Electrical Electrical Backup Generators Electrical Test Energy Management Equipment Lifecycle Management HVACBoiler Systems Monitoring UPS NEC 2020 Enhances Service Entrance Safety Survey Says: Raise ArcFlash Awareness Improve Efficiency, Safety With LEDs Analysis Analysis Infrared Motor Testing Oil Analysis Ultrasound Vibration Monitoring Is Your Steam Leaking? Find Invisible Leaks Bolster StepMotor Reliability Automation Automation Asset Management HMIMobile IIoT MotorsDrives Robotics SCADA Sensors Keep Remote Access Cyber Secure Advances Improve HMI Alarm Response Manage Your Chain During A Pandemic Equipment Equipment Bearings Compressed Air Systems Instrumentation Control Valves Pumps PneumaticHydraulic Valves Provide Safety, Reliability Manage Your Chain During A Pandemic Air Seal Stops Pulper Leakage Lubrication Lubrication Contamination Control Delivery Systems Lubricants Oil Analysis Services Certifcation When Water Oil Mix, Assets Suffer Know Your Kappa Values An ALS Will Boost Asset Reliability Safety Safety Compliance Consulting Environmental Personnel Process Training Connect Workers, Elevate Effectiveness Engineer Safer Conveyors NEC 2020 Enhances Service Entrance Safety Services Services Design Services Equipment Monitoring Service Maintenance Software Services Protect Safety Through Cybersecurity A Calibration Service May Be Your Solution Augmented Reality Delivers Maintenance Offering Italian OEM Workforce Workforce Training Work Processes Connect Workers, Elevate Effectiveness Exploit Internal Training Options Care Your Employees COVID19 Coverage Products Integrated AI EP Editorial Staff September 2, 2020 Augmented reality AR technology Plantweb Optics assetperformance platform. The provides enhanced access realtime diagnostics analytics live remote assistance workers maintaining optimizing plant equipment. The software leverages artificial intelligence, machinelearning analytics, data contextualization add realtime visibility plant reliability operational performance. Unlike standalone AR solutions require custom engineering, AR integrated system. Emerson Austin, TX POPULAR CATEGORIES Products1,062 News412 Management399 Automation496 IIoT204 Reliability868 Maintenance620 FEATURED VIDEO Featured Video Show More Videos SHOW MORE VIDEOS Fluke ii900 Sonic Industrial Imager Show More Videos CURRENT ISSUE RECOMMENDED ARTICLES Products Atomizing Spray Nozzle Products AI smart app Products Connected filtration service Products Occupancy management Products Full Duplex Wireless Products Lifecycle, asset management View Comments Sign insights, trends, developments Machinery Solutions Maintenance Reliability Solutions Energy Efficiency Email Main NavigationReliability Reliability Condition Monitoring CMMS Maintenance Predictive Maintenance Preventive Maintenance Reliability Engineering Software Electrical Electrical Backup Generators Electrical Test Energy Management Equipment Lifecycle Management HVACBoiler Systems Monitoring UPS Analysis Analysis Infrared Motor Testing Oil Analysis Ultrasound Vibration Monitoring Automation Automation Asset Management HMIMobile IIoT MotorsDrives Robotics SCADA Sensors Equipment Equipment Bearings Compressed Air Systems Instrumentation Control Valves Pumps PneumaticHydraulic Lubrication Lubrication Contamination Control Delivery Systems Lubricants Oil Analysis Services Certifcation Safety Safety Compliance Consulting Environmental Personnel Process Training Services Services Design Services Equipment Monitoring Service Maintenance Software Services Workforce Workforce Training Work Processes COVID19 Coverage Top NavigationMagazine Advertise Request Media Kit Archive Digital Issues Us PrintDigital Magazine Newsletters Events Resources Webinars Podcasts White Papers Training Programs Reliability Products 360 Us Advertise Staff 2017 Efficient Plant. Return | 2,020 | [
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https://www.businesschief.asia/leadership-and-strategy/coronavirus-alibaba-develops-cloud-and-ai-solutions | 2020-08-03T00:00:00 | en | Coronavirus: Alibaba develops cloud and AI solutions | Leadership & Strategy | Business Chief APAC | Coronavirus: Alibaba develops cloud and AI solutions | Leadership & Strategy | Business Chief APAC | Coronavirus: Alibaba develops cloud and AI solutions | Coronavirus: Alibaba develops cloud AI solutions Leadership Strategy Business Chief APAC | 2,020 | [
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