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https://it-online.co.za/2020/04/03/data-engineer-20/
2020-04-04T00:00:00
en
Data Engineer - IT-Online
Data Engineer - IT-Online Home About Us Business IT Channelwise Subscribe Africa Company News Industry Areas Channel News IT in Education IT Consumables IT in Financial Services IT in Government IT in Health IT in Manufacturing IT in Retail IT in Sport Technology Areas Cloud Computing Application Development Application Software Business Intelligence Cloud Resources Compliance Contact Centres Digital Lifestyle Document Management E-Commerce Enterprise Business Enterprise Mobility Gaming HR and Payroll IT Service Management Lifecycle Management Linux & Open Source Mobile Computing Office Equipment Peripheral Reviews Personal Computers Power & Cooling Research Risk Management Security Servers Service Oriented Architecture Storage Supply Chain Management Telecommunications Unified Comms Virtualisation Visual Instruments Lenovo Content Hub Mobile Lifestyle Hub Select Page Data Engineer Apr 3, 2020 Data Engineers build and support data pipelines and DataMart’s built off those pipelines. Both must be scalable, repeatable and secure. The Data Engineer helps to facilitate gathering data from a variety of different sources, in the correct format, assuring that it conforms to data quality standards and assuring that downstream users can get to that data timeously. This role functions as a core member of an agile team. These professionals are responsible for the infrastructure that provides insights from raw data, handling and integrating diverse sources of data seamlessly. They enable solutions, by handling large volumes of data in batch and real-time by leveraging emerging technologies from both the big data and cloud spaces. Additional responsibilities include developing proof of concepts and implements complex big data solutions with a focus on collecting, parsing, managing, analysing and visualising large datasets. They know how to apply technologies to solve the problems of working with large volumes of data in diverse formats to deliver innovative solutions. Data Engineering is a technical job that requires substantial expertise in a broad range of software development and programming fields. These professionals have a knowledge of data analysis, end user requirements and business requirements analysis to develop a clear understanding of the business need and to incorporate these needs into a technical solution. They have a solid understanding of physical database design and the systems development lifecycle. This role must work well in a team environment. Qualifications: 4 years Bachelor’s degree in computer science, computer engineering, or equivalent work experience AWS Certification at least to associate level Experience:Essential: 5+ years Data engineering or software engineering 3-5 years demonstrated experience leading teams of engineers 2+ years Big Data experience 5+ years’ experience with Extract Transform and Load (ETL) processes 2+ years Could AWS experience At least 2 years demonstrated experience with agile or other rapid application development methods – Agile exposure, Kanban or Scrum 5 years demonstrated experience with object oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large scale data infrastructures. Desirable: 5+ years Retail Operations experience Learn more/Apply for this position Related Home About Us Business IT Channelwise Subscribe Facebook Twitter Designed by Elegant Themes | Powered by WordPress
Data Engineer
Data Engineer ITOnline Home Business IT Channelwise Africa Company News Industry Areas Channel News IT Education IT Consumables IT Financial Services IT Government IT Health IT Manufacturing IT Retail IT Sport Technology Areas Cloud Computing Application Development Application Software Business Intelligence Cloud Resources Compliance Centres Digital Lifestyle Document Management ECommerce Enterprise Business Enterprise Mobility Gaming HR Payroll IT Service Management Lifecycle Management Linux Open Source Mobile Computing Office Equipment Peripheral Reviews Personal Computers Power Cooling Research Risk Management Security Servers Service Oriented Architecture Storage Supply Chain Management Telecommunications Unified Comms Virtualisation Visual Instruments Lenovo Content Hub Mobile Lifestyle Hub Select Page Data Engineer Apr 3, 2020 Data Engineers build support data pipelines DataMarts built pipelines. Both scalable, repeatable secure. The Data Engineer helps facilitate gathering data variety different sources, correct format, assuring conforms data quality standards assuring downstream users data timeously. This role functions core member agile team. These professionals responsible infrastructure provides insights raw data, handling integrating diverse sources data seamlessly. They enable solutions, handling large volumes data batch realtime leveraging emerging technologies big data cloud spaces. Additional responsibilities include developing proof concepts implements complex big data solutions focus collecting, parsing, managing, analysing visualising large datasets. They know apply technologies solve problems working large volumes data diverse formats deliver innovative solutions. Data Engineering technical job requires substantial expertise broad range software development programming fields. These professionals knowledge data analysis, end user requirements business requirements analysis develop clear understanding business need incorporate needs technical solution. They solid understanding physical database design systems development lifecycle. This role work team environment. Qualifications: 4 years Bachelors degree science, engineering, equivalent work experience AWS Certification associate level Experience:Essential: 5 years Data engineering software engineering 35 years demonstrated experience leading teams engineers 2 years Big Data experience 5 years experience Extract Transform Load ETL processes 2 years Could AWS experience At 2 years demonstrated experience agile rapid application development methods Agile exposure, Kanban Scrum 5 years demonstrated experience object oriented design, coding testing patterns experience engineering commercial open source software platforms large scale data infrastructures. Desirable: 5 years Retail Operations experience Learn moreApply position Related Home Business IT Channelwise Facebook Twitter Designed Elegant Themes Powered WordPress
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https://www.wfmz.com/news/pr_newswire/pr_newswire_technology/synopsys-and-sima-ai-collaborate-to-bring-machine-learning-inference-at-scale-to-the-embedded/article_b8eebd58-965e-5efc-a754-854673de040f.html
2020-10-14T00:00:00
en
Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge | News | wfmz.com
Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge | News | wfmz.com You have permission to edit this article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional ▶ Schools US and World Sunrise Inside Your Town Espanol ▶ In Case You Missed It Recalls Missing Persons Good News Weather Forecast Hour by Hour Local Radar 69News Weather Channel Stream and River Levels Pocono Cameras School and Business Closings Send your weather report Traffic Live Streaming Cameras Cameras and Alerts Lehigh Valley Traffic Berks Traffic I-78 Corridor US-22 Corridor Weekly Roadwork Pump Prices Sports Local Scoreboard The Big Ticket MLB Scores and Matchups NFL Scores and Matchups Video Entertainment Things to Do Freddy Awards Contests Music Monday Program Schedule Features Food and Recipes Mr. Food Things to Do What the Tech? 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History's Headlines One Tank Trip Signature Dish Life Lessons & Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Community Community Calendar Send us your Photos / Video Send us your Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters About Us Contact Us Email Alerts Mobile and Free Apps Employment How to Watch Us WFMZ-TV 69.1 Schedule WFMZ-TV 69.3 - MeTV Schedule WDPN-TV 2.4 - H&I Schedule WDPN-TV 2.5 - Retro TV Order a copy of a story Internships Meet The Team About WFMZ-TV WFMZ-TV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order a copy of a story Share This Facebook Twitter WhatsApp SMS Email LIVESTREAM WATCH LIVE: Barrett's Supreme Court confirmation hearing Home News News Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge Engagement Leverages Synopsys' DesignWare IP, Verification Continuum, and Fusion Design Solutions to Accelerate Development of SiMa.ai MLSoC Platform By Synopsys, Inc.;SiMa.ai; Oct 14, 2020 Oct 14, 2020 Updated 26 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save MOUNTAIN VIEW, Calif., Oct. 14, 2020 /PRNewswire/ -- Synopsys, Inc. (Nasdaq: SNPS) today announced its collaboration with SiMa.ai to bring its machine learning inference at scale to the embedded edge. Through this engagement, SiMa.ai has adopted key products from Synopsys DesignWare® IP, Verification Continuum® Platform, and Fusion Design Platform™ for the development of their MLSoC™, a purpose-built machine-learning platform targeted at specialized computer vision applications, such as autonomous driving, surveillance, and robotics.SiMa.ai selected Synopsys due to its expertise in functional safety, complete set of proven solutions and models, and silicon-proven IP portfolio that will help SiMa.ai deliver high-performance computing at the lowest power. With Synopsys' automotive-grade solutions, SiMa.ai can accelerate their SoC-level ISO 26262 functional safety assessments and qualification while achieving their target ASILs."Working closely with top-tier customers, we have developed a software-centric architecture that delivers high-performance machine learning at the lowest power. Our purpose-built, highly integrated MLSoC supports legacy compute along with industry-leading machine learning to deliver more than 30x better compute-power efficiency, compared to industry alternatives," said Krishna Rangasayee, founder and CEO, at SiMa.ai. "We are delighted to collaborate with Synopsys towards our common goal to bring high-performance machine learning to the embedded edge. Leveraging Synopsys' industry-leading portfolio of IP, verification, and design platforms enables us to reduce development risk and accelerate the design and verification process."  "We are pleased to support SiMa.ai as it brings MLSoC chip to market," said Manoj Gandhi, general manager of the Verification Group at Synopsys. "Our collaboration aims to address SiMa.ai's mission to enable customers to build low-power, high-performance machine learning solutions at the embedded edge across a diverse set of industries."Since SiMa.ai's inception it has strategically collaborated with Synopsys to support all aspects of their MLSoC architecture design and verification.The Synopsys Fusion Design Platform solutions enable optimized implementation, including:Design Compiler® synthesis solutionPrimeTime® for timing signoffPrimePower for power signoffFormality® equivalence-checking solutionThe industry-leading hardware and software verification solutions from the Verification Continuum platform enable scalable SoC verification, including:Virtualizer™ virtual prototyping for earlier and faster software developmentVCS® simulation with the smallest memory footprintZeBu® Server for system verification, benchmarking, and power analysisSynopsys' high-quality DesignWare IP enables rapid development of SiMa.ai's MLSoC, including:DesignWare ARC® Embedded Vision Processor IPDesignWare MIPI, DDR, and PCI Express IP solutionsDesignWare Foundation IPDesignWare Security IPLearn more about Synopsys DesignWare IP, Verification Continuum Platform, and Fusion Design Platform.About SynopsysSynopsys, Inc. (Nasdaq: SNPS) is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software security and quality solutions. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing applications that require the highest security and quality, Synopsys has the solutions needed to deliver innovative, high-quality, secure products. Learn more at www.synopsys.com.Editorial Contact: Simone SouzaSynopsys, [email protected]  Recommended for you Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed by public comments are not those of this company or its affiliated companies. 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Synopsys and SiMa.ai Collaborate to Bring Machine Learning Inference at Scale to the Embedded Edge
Synopsys SiMa.ai Collaborate Bring Machine Learning Inference Scale Embedded Edge News You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional Schools 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 Local Scoreboard The Big Ticket MLB Scores Matchups NFL Scores Matchups Video Entertainment Things Do Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Things Do What Tech? Historys Headlines One Tank Trip Signature Dish Life Lessons Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Community Community Calendar Send Photos Video Send Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters Us Email Alerts Mobile Free Apps Employment How Watch Us WFMZTV 69.1 Schedule WFMZTV 69.3 MeTV Schedule WDPNTV 2.4 HI Schedule WDPNTV 2.5 Retro TV Order copy story Internships Meet The Team About WFMZTV WFMZTV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order copy story 48 Allentown, PA 18103 Today Mostly sunny nice.. Tonight Mainly clear. Updated: October 14, 2020 @ 8:51 Full Forecast Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter YouTube Instagram Email iOS App Android App OTT Toggle navigation Home News Coronavirus Info Lehigh Valley Berks Regional Poconos Coal Region Southeastern PA Western New Jersey Pennsylvania Schools US World Sunrise Inside Your Town Espanol Noticias Deportes Entretenimiento Comunidad Su Tierra Tiempo In Case You Missed It Recalls 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 Local Scoreboard The Big Ticket MLB Scores Matchups NFL Scores Matchups Video Entertainment Things Do Freddy Awards Contests Music Monday Program Schedule Features Food Recipes Mr. Food Things Do What Tech? Historys Headlines One Tank Trip Signature Dish Life Lessons Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Community Community Calendar Send Photos Video Send Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters Us Email Alerts Mobile Free Apps Employment How Watch Us WFMZTV 69.1 Schedule WFMZTV 69.3 MeTV Schedule WDPNTV 2.4 HI Schedule WDPNTV 2.5 Retro TV Order copy story Internships Meet The Team About WFMZTV WFMZTV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order copy story Share This Facebook Twitter WhatsApp SMS Email LIVESTREAM WATCH LIVE: Barretts Supreme Court confirmation hearing Home News News Synopsys SiMa.ai Collaborate Bring Machine Learning Inference Scale Embedded Edge Engagement Leverages Synopsys DesignWare IP, Verification Continuum, Fusion Design Solutions Accelerate Development SiMa.ai MLSoC Platform By Synopsys, .;SiMa.ai; Oct 14, 2020 Oct 14, 2020 Updated 26 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save MOUNTAIN VIEW, Calif., Oct. 14, 2020 PRNewswire Synopsys, .Nasdaq:SNPS today announced collaboration SiMa.ai bring machine learning inference scale embedded edge. Through engagement, SiMa.ai adopted key products Synopsys DesignWare IP, Verification Continuum Platform, Fusion Design Platform development MLSoC, purposebuilt machinelearning platform targeted specialized vision applications, autonomous driving, surveillance, robotics.SiMa.ai selected Synopsys expertise functional safety, complete set proven solutions models, siliconproven IP portfolio help SiMa.ai deliver highperformance computing lowest power. With Synopsys automotivegrade solutions, SiMa.ai accelerate SoClevel ISO 26262 functional safety assessments qualification achieving target ASILs.Working closely toptier customers, developed softwarecentric architecture delivers highperformance machine learning lowest power. Our purposebuilt, highly integrated MLSoC supports legacy compute industryleading machine learning deliver 30x better computepower efficiency, compared industry alternatives, said Krishna Rangasayee, founder CEO, SiMa.ai. We delighted collaborate Synopsys common goal bring highperformance machine learning embedded edge. Leveraging Synopsys industryleading portfolio IP, verification, design platforms enables reduce development risk accelerate design verification process. We pleased support SiMa.ai brings MLSoC chip market, said Manoj Gandhi, general manager Verification Group Synopsys. Our collaboration aims address SiMa.ais mission enable customers build lowpower, highperformance machine learning solutions embedded edge diverse set industries.Since SiMa.ais inception strategically collaborated Synopsys support aspects MLSoC architecture design verification.The Synopsys Fusion Design Platform solutions enable optimized implementation, including:Design Compiler synthesis solutionPrimeTime timing signoffPrimePower power signoffFormality equivalencechecking solutionThe industryleading hardware software verification solutions Verification Continuum platform enable scalable SoC verification, including:Virtualizer virtual prototyping earlier faster software developmentVCS simulation smallest memory footprintZeBu Server verification, benchmarking, power analysisSynopsys highquality DesignWare IP enables rapid development SiMa.ais MLSoC, including:DesignWare ARC Embedded Vision Processor IPDesignWare MIPI, DDR, PCI Express IP solutionsDesignWare Foundation IPDesignWare Security IPLearn Synopsys DesignWare IP, Verification Continuum Platform, Fusion Design Platform.About SynopsysSynopsys, . Nasdaq: SNPS Silicon Software partner innovative companies developing electronic products software applications rely day. As worlds 15th largest software company, Synopsys long history global leader electronic design automation EDA semiconductor IP growing leadership software security quality solutions. Whether youre systemonchip SoC designer creating advanced semiconductors, software developer writing applications require highest security quality, Synopsys solutions needed deliver innovative, highquality, secure products. Learn :Simone SouzaSynopsys, .6505846454simone Recommended Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed public comments company affiliated companies. Please note clicking Post acknowledge read TERMS OF USE comment posting compliance terms. Your comments air. Be polite. Inappropriate posts posts containing offsite links, images, GIFs, inappropriate language, memes removed moderator. Job listings similar posts likely automated SPAM messages Facebook placed WFMZTV. Video play button WATCH LIVE: Barretts Supreme Court confirmation hearing Facebook Twitter WhatsApp SMS Email The Senate Judiciary Committee continues hearing nomination Honorable Amy Coney Barrett Associate Justice Supreme Court United States. 69 News morning NETCAST 101420 Sign Up Breaking News Get local Breaking News alerts sent directly inbox. Success An email sent link confirm list signup. Error There error processing request. Breaking News Alerts Please enter valid email address. Sign Manage lists Facebook Twitter YouTube Instagram Email Right Now 48 Clear Humidity: 83 Cloud Coverage:11 Wind: 3 mph UV Index: 4 Moderate Sunrise: 07:12:37 AM Sunset: 06:22:18 PM Today Mostly sunny nice. Tonight Mainly clear. Tomorrow Sunny partly cloudy warmer. More Newsroom Wild, Scheller tackle range issues forum Jewish Federation Lehigh Valley Lower Macungie planners hear proposed housing development plans Pottstown councilwoman reminds residents polling place changes, single drop box location Phillipsburg council reviews ordinances parks, special events, rec programs Spring supervisors hear complaint outdoor concerts Pinwheels Peace campaign aims raise awareness domestic violence St. Lukes teams community members help speech therapists Murphy says 100 million federal money coming small businesses, families affected pandemic DeSales UniversityWFMZ poll 7th District voters shows Biden, Wild ahead COVID19 cases, hospitalizations rise Pa. More Newsroom Trending Headlines Pensando Named Gartner 2020 Cool Vendor Cloud Computing JBT Corporation Appoints Brian Deck Interim President Chief Executive Officer IBM The Climate Service Work Together Financial Institutions Corporations Assess Cost Climate Risk IGTs Resort Wallet Technology Leads Evolution Cashless Gaming New York State Nikon Releases Z 6 II Z 7 II FullFrame Mirrorless Cameras; More Info BH Annual Market Study Reveals Pace Which COVID19 Is Accelerating Digital Transformation Mercari Expands SameDay, Home Pickup Delivery To New York Postmates nChain Acquires AwardWinning Software Development Company Equaleyes Skyward Google Classroom Integration Coming Soon Shutterstock To Report Third Quarter 2020 Earnings Results October 27, 2020 Sections Home Traffic Sports Video Entertainment Features Community Business Shop Obits Services Calendar Mobile Free Apps Email Alerts Text Alerts Weather Stormcenter Worship Application Stormcenter School Business Application FCC Public File Facebook Twitter YouTube Instagram Email 300 East Rock Road Allentown, PA 18103 Phone: 610.797.4530 Email: news @ WFMZ . com WFMZTV 69 News provides news, weather, traffic, sports family programming Lehigh Valley, Berks County, Southeastern Pa., Poconos Western NJ including Allentown, Bethlehem, Easton, Reading, Kutztown, Emmaus, Quakertown, Stroudsburg, Philadelphia, Jim Thorpe, Doylestown, Phillipsburg, Flemington, Wilmington, Newark. 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2020-09-10T00:00:00
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Artificial Intelligence in Construction Market Research Report 2019-2030 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 – The Scarlet
Artificial Intelligence in Construction Market Research Report 2019-2030 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 – The Scarlet The Scarlet Space, Science and Energy Market Energy News Coronavirus Space Contact HomeNewsArtificial Intelligence in Construction Market Research Report 2019-2030 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 Artificial Intelligence in Construction Market Research Report 2019-2030 | Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 Posted On: September 10, 2020 Posted By: [email protected] Comments: 0 Trusted Business Insights answers what are the scenarios for growth and recovery and whether there will be any lasting structural impact from the unfolding crisis for the Artificial Intelligence in Construction market. Trusted Business Insights presents an updated and Latest Study on Artificial Intelligence in Construction Market 2019-2029. The report contains market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. The report further elaborates on the micro and macroeconomic aspects including the socio-political landscape that is anticipated to shape the demand of the Artificial Intelligence in Construction market during the forecast period (2019-2029). It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary, and SWOT analysis. Get Sample Copy of this Report @ Artificial Intelligence in Construction Market Size, Market Research and Industry Forecast Report, 2025 (Includes Business Impact of COVID-19) Industry Insights, Market Size, CAGR, High-Level Analysis: Artificial Intelligence in Construction Market The global artificial intelligence (AI) in construction market size was valued at USD 398.6 million in 2018 and is anticipated to exhibit a CAGR of 34.0% from 2019 to 2025. Artificial intelligence has evolved with improved safety standards and assist in predicting hazards at construction sites before they take place. Therefore, the construction companies have leveraged the artificial intelligence technology in terms of predictive maintenance and risk management solutions. Also, the AI in the construction industry is highly adopted for the development of industrial internet of things (IIoT) based applications for construction sites. IIoT assists project managers with efficient outputs and reduced labor costs, which boosts the demand for artificial intelligence in the industry. Construction companies are focusing on investments in IIoT applications development to implement industry 4.0 and support full automation at their job sites. Construction companies consider safety as one of the major project management factors. Injuries and fatalities at job sites are the ongoing issues at an alarming rate. For instance, in 2017, the U.S. Department of Labor has reported that the death rate of construction workers is five times the death rate of other workers in the private sector. Also, struck-by deaths are increasing substantially, which has pushed the site managers and the companies to address workplace injuries. Furthermore, in 2017, around 39% of construction deaths occurred due to unexpected falls at job sites in the U.S., and AI provides increased visibility and predictive maintenance to prevent injuries from these sudden falls. AI-enabled cameras can monitor the whole area around the job site and allow project managers to observe and analyze real-time activities in case some issues are detected. With the help of artificial intelligence, on-site visibility and awareness can be increased to reduce unexpected falls and incidents. Artificial intelligence has been proven efficient in helping the workers execute tasks more safely. For instance, the University of Waterloo (Canada) researched artificial intelligence in the industry and found that AI technology helps expert bricklayers learn advanced techniques to limit the joint loads. Thus, artificial intelligence has helped bricklayers learn to maximize the output while minimizing the tear on their bodies. Also, AI enables the companies to rely on off-site factories or construction sites, staffed by autonomous robots. For instance, wall structures can be built based on assembly-line-style by autonomous robots more efficiently than the human workers at the job site. Furthermore, AI neural networks are used for construction projects to identify cost overruns. Its predictive model uses historical data such as project start and end dates to envision realistic timelines for upcoming projects. Cost overruns are predicted based on several factors, such as contract type, project size, and the competence level of the project managers. Project managers can plan the project schedule and estimate the original cost and budget with the help of real-time feedback provided by the AI platform. Besides, artificial intelligence helps the company staff access real-life training material to enhance their knowledge and skills quickly. Offering Insights The offering segment is classified into solution and service. The solution segment is expected to have a larger market share among offerings. Major players, including IBM, Microsoft, and Oracle are offering artificial intelligence solutions for the industry. AI solutions boost on-site efficiency by providing major construction applications, such as risk management, project planning, schedule management, and supply chain management. Also, artificial intelligence solutions address the problem of skilled labor shortage through the automation of tasks. These solutions can perform time-intensive tasks, such as cost estimation, program creation, resource management, and risk management. Most of the construction companies have adopted AI solutions for risk management and better safety at the job site. For instance, PCL Constructors Inc. and ICONICS, Inc. have used artificial intelligence platforms at the construction site to build smart buildings. Application Insights of Artificial Intelligence in Construction Market The application segment is classified into asset management, project management, risk management, schedule management, supply chain management, and others. The project management segment is expected to have a significant market share among applications. Several companies adopt the project management application for each phase of the construction, such as pre-construction, construction-stage, and post-construction. It helps the company boost its productivity and efficiency by automating the building processes, such as proposal management, planning and designing, sourcing and contract management, and virtual design and construction. Also, AI-enabled project management application is beneficial in handling over-budget construction projects by capturing the real-image data from the job site and providing accurate precisions for the budget by calculating the original hours taken to complete the tasks. It is also adopted for post-construction tasks, such as real estate management and intelligent buildings and facilities management. It helps to maintain the assets and facilities operations of the job site. Therefore, the companies are focusing on bringing AI-enabled project management applications. Stage Insights The stage segment is classified into pre-construction, construction-stage, and post-construction. The pre-construction segment is expected to have a significant market share among other stages in the the industry. AI-enabled applications are highly adopted for the pre-construction stage by several companies since this stage involves the prior project management tasks, such as schedule management and cost management. It covers all the planning and design-related tasks, such as opportunity and proposal management, cost management, sourcing and contract management, and virtual design and construction. Cost management is one of the significant pre-construction stage tasks and construction companies prefer artificial intelligence for this task. AI-enabled cameras at the job site provide the real-time feedback by capturing the actual amount of time and resources spent on a project, based on which cost and budget is decided for the upcoming projects. Artificial intelligence helps the project managers predict the budget on the right precision based on contract type and project start and end dates. Furthermore, AI helps to create a virtual design of the model to be constructed, which is also a significant task at the pre-construction stage. Thus, the pre-construction stage in AI for the industry is expected to lead among other stages. Deployment Type Insights of Artificial Intelligence in Construction Market The deployment type segment is bifurcated into the cloud and on-premises. The cloud segment is expected to have a significant market share among both deployment types owing to the increasing investments in IoT-based applications. Several AI in construction solutions providers are investing in cloud and IoT-based products and services through mergers and acquisitions. The investments are aimed at creating a computer-aided virtual environment (CAVE), to provide general contractors, architects, and customers with a virtual experience of their building. Cloud deployment provides more cost-effective deployment method to the construction companies. Its scalability and quick adaptability feature makes it prominent for large and heavy building projects. Also, AI applications are now deployed in private clouds to address privacy and security issues. Thus, cloud deployment is expected to lead among deployment types for AI applications in the industry. Industry Type Insights of Artificial Intelligence in Construction Market Based on industry type, the artificial intelligence in construction market is segmented into residential, public infrastructure, heavy construction, and others. Heavy construction is expected to have a significant market share among industry types, owing to increasing accidents and sudden falls at large building sites. Heavy construction involves massive structures and a wide variety of equipment that require project management with diligence and extensive engineering. Several major equipment manufacturers are making investments in self-operating machines to perform site work, excavation, grading, demolition, and paving, among other tasks. In large enterprises and heavy building sites, tracking the processes is quite challenging. AI-powered solutions and services help to manage task scheduling and reallocation, and other project planning related tasks. Substantial infrastructures such as ports, dams, bridges, roads, coastal engineering, transportation, waterways, and energy infrastructure are adopting the AI solutions since it helps to measure productivity on the job sites while promising project managers a competitive edge with smart visualized data. Also, risk management is ensured with the help of predictive maintenance using AI. Thus, heavy construction is expected to lead among other industry types. Organization Size Insights The organization size segment is classified into small and medium-sized enterprises (SMEs) and large enterprises. The large enterprises are expected to have a significant market share among both organization sizes. Large enterprises, including the government and commercial enterprises, are increasingly adopting AI solutions on a large scale, owing to the rising demand for risk management and project management solutions across the segment. Favorable government regulations are motivating large construction enterprises to incorporate AI solutions and services. Small and medium enterprises are estimated to demonstrate the growth at a healthy rate over the forecast period. Small and medium enterprises are increasingly employing AI solutions owing to the cost-effective nature of the platform. Cloud-based AI solutions are favorable to construction companies as there is no high set-up cost, and it can be started and stopped according to the project’s requirement. Also, the expansion of building firms requires proper management of their databases, which is expected to propel the demand further. Regional Insights of Artificial Intelligence in Construction Market The market for AI in construction in North America accounted for more than 38% share in 2018, owing to the leading industrial automation market in the region. The North America region is characterized by a large number of populations having improved purchasing power, continuous investments in automation, and governments’ increasing focus on having in-house AI in construction equipment production. Also, considerably increasing investments in IIoT and industrial automation in this region is one of the major factors boosting the growth of the market in the North America. Most of the tech giants have invested in the regional market and have been preferred for implementing AI-based applications by the companies. For instance, several construction companies, such as PCL Constructers Inc. and ThyssenKrupp AG have used the Microsoft Azure, developed by the U.S. based tech giant Microsoft, to deploy AI-enabled building solutions. APAC region is expected to demonstrate the highest CAGR in the future. Rising infrastructural investments for various applications, such as risk management, project management, and supply chain management, are boosting the growth of this market in the Asia-Pacific region. Pre-construction AI applications have experienced an increased adoption in emerging economies, such as India and China. Furthermore, the rising demand to create smart cities in these economies is encouraging the companies to adopt AI solutions and services. Market Share Insights of Artificial Intelligence in Construction Market The key market participants include IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; ALICE Technologies Inc.; eSUB Inc.; Smartvid.io, Inc.; Darktrace; Aurora Construction and Security; and Autodesk Inc. Vendors in the market are focusing on increasing the customer base to gain a competitive edge in the market. Therefore, vendors are taking several strategic initiatives, such as collaborations, acquisitions and mergers, and partnerships. For instance, in August 2019, Procore Technologies, Inc. acquired the Construction BI, LLC, to bring next-generation AI analytics to the construction industry. In December 2018, Autodesk Inc. acquired two U.S. based construction-tech startups PlanGrid, Inc., and BuildingConnected. These acquisitions were aimed at encouraging construction software development to digitize the whole building process. Segmentations, Sub Segmentations, CAGR, & High-Level Analysis overview of Artificial Intelligence in Construction Market Research Report This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2014 to 2025. For this study, this market research report has segmented the global Artificial Intelligence in construction market report based on offering, application, stage, deployment type, organization size, industry type, and region: Offering Outlook (Revenue, USD Million, 2019 – 2030) Solution Service Application Outlook (Revenue, USD Million, 2019 – 2030) Asset Management Project Management Risk Management Schedule Management Supply Chain Management Others Stage Outlook (Revenue, USD Million, 2019 – 2030) Pre-Construction Construction-Stage Post-Construction Deployment Type Outlook (Revenue, USD Million, 2019 – 2030) Cloud On-Premises Industry Type Outlook (Revenue, USD Million, 2019 – 2030) Residential Public Infrastructure Heavy Construction Others Organization Size Outlook (Revenue, USD Million, 2019 – 2030) Small & Medium-sized Enterprises (SMEs) Large Enterprises   Looking for more? Check out our repository for all available reports on Artificial Intelligence in Construction in related sectors. Quick Read Table of Contents of this Report @ Artificial Intelligence in Construction Market Size, Market Research and Industry Forecast Report, 2025 (Includes Business Impact of COVID-19) Contacts Trusted Business Insights Shelly Arnold Media & Marketing Executive Email Me For Any Clarifications Connect on LinkedIn Click to follow Trusted Business Insights LinkedIn for Market Data and Updates. US: +1 646 568 9797 UK: +44 330 808 0580 Artificial Intelligence in Construction Industry ReportArtificial Intelligence in Construction Industry SizeArtificial Intelligence in Construction Market AnalysisArtificial Intelligence in Construction Market DemandArtificial Intelligence in Construction Market ForecastArtificial Intelligence in Construction Market ShareCorona virus impact on Artificial Intelligence in Construction marketCovid 19 impact on Artificial Intelligence in Construction market Post navigation Prev PostNext Post Leave a Reply Cancel replyYour email address will not be published. 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Artificial Intelligence in Construction Market Research Report 2019-2030
Artificial Intelligence Construction Market Research Report 20192030 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 The Scarlet The Scarlet Space, Science Energy Market Energy News Coronavirus Space HomeNewsArtificial Intelligence Construction Market Research Report 20192030 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 Artificial Intelligence Construction Market Research Report 20192030 Industry Report, Industry Analysis, Key Players, Trends, Revenue, Regional Segmented, Outlook Until 2025 Posted On: September 10, 2020 Posted By: [emailprotected] Comments: 0 Trusted Business Insights answers scenarios growth recovery lasting structural impact unfolding crisis Artificial Intelligence Construction market. Trusted Business Insights presents updated Latest Study Artificial Intelligence Construction Market 20192029. The report contains market predictions related market size, revenue, production, CAGR, Consumption, gross margin, price, substantial factors. While emphasizing key driving restraining forces market, report offers complete study future trends developments market.The report elaborates micro macroeconomic aspects including sociopolitical landscape anticipated shape demand Artificial Intelligence Construction market forecast period 20192029. It examines role leading market players involved industry including corporate overview, financial summary, SWOT analysis. Get Sample Copy Report @ Artificial Intelligence Construction Market Size, Market Research Industry Forecast Report, 2025 ludes Business Impact COVID19 Industry Insights, Market Size, CAGR, HighLevel Analysis: Artificial Intelligence Construction Market The global artificial intelligence AI construction market size valued USD 398.6 million 2018 anticipated exhibit CAGR 34.0 2019 2025. Artificial intelligence evolved improved safety standards assist predicting hazards construction sites place. Therefore, construction companies leveraged artificial intelligence technology terms predictive maintenance risk management solutions. Also, AI construction industry highly adopted development industrial internet things IIoT based applications construction sites. IIoT assists project managers efficient outputs reduced labor costs, boosts demand artificial intelligence industry. Construction companies focusing investments IIoT applications development implement industry 4.0 support automation job sites. Construction companies consider safety major project management factors. Injuries fatalities job sites ongoing issues alarming rate. For instance, 2017, U.S. Department Labor reported death rate construction workers times death rate workers private sector. Also, struckby deaths increasing substantially, pushed site managers companies address workplace injuries. Furthermore, 2017, 39 construction deaths occurred unexpected falls job sites U.S., AI provides increased visibility predictive maintenance prevent injuries sudden falls. AIenabled cameras monitor area job site allow project managers observe analyze realtime activities case issues detected. With help artificial intelligence, onsite visibility awareness increased reduce unexpected falls incidents. Artificial intelligence proven efficient helping workers execute tasks safely. For instance, University Waterloo Canada researched artificial intelligence industry AI technology helps expert bricklayers learn advanced techniques limit joint loads. Thus, artificial intelligence helped bricklayers learn maximize output minimizing tear bodies. Also, AI enables companies rely offsite factories construction sites, staffed autonomous robots. For instance, wall structures built based assemblylinestyle autonomous robots efficiently human workers job site. Furthermore, AI neural networks construction projects identify cost overruns. Its predictive model uses historical data project start end dates envision realistic timelines upcoming projects. Cost overruns predicted based factors, contract type, project size, competence level project managers. Project managers plan project schedule estimate original cost budget help realtime feedback provided AI platform. Besides, artificial intelligence helps company staff access reallife training material enhance knowledge skills quickly. Offering Insights The offering segment classified solution service. The solution segment expected larger market share offerings. Major players, including IBM, Microsoft, Oracle offering artificial intelligence solutions industry. AI solutions boost onsite efficiency providing major construction applications, risk management, project planning, schedule management, supply chain management. Also, artificial intelligence solutions address problem skilled labor shortage automation tasks. These solutions perform timeintensive tasks, cost estimation, program creation, resource management, risk management. Most construction companies adopted AI solutions risk management better safety job site. For instance, PCL Constructors . ICONICS, . artificial intelligence platforms construction site build smart buildings. Application Insights Artificial Intelligence Construction Market The application segment classified asset management, project management, risk management, schedule management, supply chain management, others. The project management segment expected significant market share applications. Several companies adopt project management application phase construction, preconstruction, constructionstage, postconstruction. It helps company boost productivity efficiency automating building processes, proposal management, planning designing, sourcing contract management, virtual design construction. Also, AIenabled project management application beneficial handling overbudget construction projects capturing realimage data job site providing accurate precisions budget calculating original hours taken complete tasks. It adopted postconstruction tasks, real estate management intelligent buildings facilities management. It helps maintain assets facilities operations job site. Therefore, companies focusing bringing AIenabled project management applications. Stage Insights The stage segment classified preconstruction, constructionstage, postconstruction. The preconstruction segment expected significant market share stages industry. AIenabled applications highly adopted preconstruction stage companies stage involves prior project management tasks, schedule management cost management. It covers planning designrelated tasks, opportunity proposal management, cost management, sourcing contract management, virtual design construction. Cost management significant preconstruction stage tasks construction companies prefer artificial intelligence task. AIenabled cameras job site provide realtime feedback capturing actual time resources spent project, based cost budget decided upcoming projects. Artificial intelligence helps project managers predict budget right precision based contract type project start end dates. Furthermore, AI helps create virtual design model constructed, significant task preconstruction stage. Thus, preconstruction stage AI industry expected lead stages. Deployment Type Insights Artificial Intelligence Construction Market The deployment type segment bifurcated cloud onpremises. The cloud segment expected significant market share deployment types owing increasing investments IoTbased applications. Several AI construction solutions providers investing cloud IoTbased products services mergers acquisitions. The investments aimed creating computeraided virtual environment CAVE, provide general contractors, architects, customers virtual experience building. Cloud deployment provides costeffective deployment method construction companies. Its scalability quick adaptability feature makes prominent large heavy building projects. Also, AI applications deployed private clouds address privacy security issues. Thus, cloud deployment expected lead deployment types AI applications industry. Industry Type Insights Artificial Intelligence Construction Market Based industry type, artificial intelligence construction market segmented residential, public infrastructure, heavy construction, others. Heavy construction expected significant market share industry types, owing increasing accidents sudden falls large building sites. Heavy construction involves massive structures wide variety equipment require project management diligence extensive engineering. Several major equipment manufacturers making investments selfoperating machines perform site work, excavation, grading, demolition, paving, tasks. In large enterprises heavy building sites, tracking processes challenging. AIpowered solutions services help manage task scheduling reallocation, project planning related tasks. Substantial infrastructures ports, dams, bridges, roads, coastal engineering, transportation, waterways, energy infrastructure adopting AI solutions helps measure productivity job sites promising project managers competitive edge smart visualized data. Also, risk management ensured help predictive maintenance AI. Thus, heavy construction expected lead industry types. Organization Size Insights The organization size segment classified small mediumsized enterprises SMEs large enterprises. The large enterprises expected significant market share organization sizes. Large enterprises, including government commercial enterprises, increasingly adopting AI solutions large scale, owing rising demand risk management project management solutions segment. Favorable government regulations motivating large construction enterprises incorporate AI solutions services. Small medium enterprises estimated demonstrate growth healthy rate forecast period. Small medium enterprises increasingly employing AI solutions owing costeffective nature platform. Cloudbased AI solutions favorable construction companies high setup cost, started stopped according projects requirement. Also, expansion building firms requires proper management databases, expected propel demand further. Regional Insights Artificial Intelligence Construction Market The market AI construction North America accounted 38 share 2018, owing leading industrial automation market region. The North America region characterized large number populations improved purchasing power, continuous investments automation, governments increasing focus inhouse AI construction equipment production. Also, considerably increasing investments IIoT industrial automation region major factors boosting growth market North America. Most tech giants invested regional market preferred implementing AIbased applications companies. For instance, construction companies, PCL Constructers . ThyssenKrupp AG Microsoft Azure, developed U.S. based tech giant Microsoft, deploy AIenabled building solutions. APAC region expected demonstrate highest CAGR future. Rising infrastructural investments applications, risk management, project management, supply chain management, boosting growth market AsiaPacific region. Preconstruction AI applications experienced increased adoption emerging economies, India China. Furthermore, rising demand create smart cities economies encouraging companies adopt AI solutions services. Market Share Insights Artificial Intelligence Construction Market The key market participants include IBM Corporation; Microsoft Corporation; Oracle Corporation; SAP SE; ALICE Technologies .; eSUB .; , .; Darktrace; Aurora Construction Security; Autodesk . Vendors market focusing increasing customer base gain competitive edge market. Therefore, vendors taking strategic initiatives, collaborations, acquisitions mergers, partnerships. For instance, August 2019, Procore Technologies, . acquired Construction BI, LLC, bring nextgeneration AI analytics construction industry. In December 2018, Autodesk . acquired U.S. based constructiontech startups PlanGrid, ., BuildingConnected. These acquisitions aimed encouraging construction software development digitize building process. Segmentations, Sub Segmentations, CAGR, HighLevel Analysis overview Artificial Intelligence Construction Market Research Report This report forecasts revenue growth global, regional, country levels provides analysis latest industry trends subsegments 2014 2025. For study, market research report segmented global Artificial Intelligence construction market report based offering, application, stage, deployment type, organization size, industry type, region: Offering Outlook Revenue, USD Million, 2019 2030 Solution Service Application Outlook Revenue, USD Million, 2019 2030 Asset Management Project Management Risk Management Schedule Management Supply Chain Management Others Stage Outlook Revenue, USD Million, 2019 2030 PreConstruction ConstructionStage PostConstruction Deployment Type Outlook Revenue, USD Million, 2019 2030 Cloud OnPremises Industry Type Outlook Revenue, USD Million, 2019 2030 Residential Public Infrastructure Heavy Construction Others Organization Size Outlook Revenue, USD Million, 2019 2030 Small Mediumsized Enterprises SMEs Large Enterprises Looking more? Check repository available reports Artificial Intelligence Construction related sectors. Quick Read Table Contents Report @ Artificial Intelligence Construction Market Size, Market Research Industry Forecast Report, 2025 ludes Business Impact COVID19 Trusted Business Insights Shelly Arnold Media Marketing Executive Email Me For Any Clarifications Connect LinkedIn Click follow Trusted Business Insights LinkedIn Market Data Updates. US: 1 646 568 9797 UK: 44 330 808 0580 Artificial Intelligence Construction Industry ReportArtificial Intelligence Construction Industry SizeArtificial Intelligence Construction Market AnalysisArtificial Intelligence Construction Market DemandArtificial Intelligence Construction Market ForecastArtificial Intelligence Construction Market ShareCorona virus impact Artificial Intelligence Construction marketCovid 19 impact Artificial Intelligence Construction market Post navigation Prev PostNext Post Leave Reply Cancel replyYour email address published. 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https://nysenewstimes.com/artificial-intelligence-in-bfsi-market-2020-potential-growth-challenges-attractive-valuation-key-players-sartorius-mettler-toledo-ohaus-corporation-thermo-fisher-michell-instruments-etc/
2020-03-24T00:00:00
en
Artificial Intelligence in BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Sartorius, Mettler-Toledo, Ohaus Corporation, Thermo Fisher, Michell Instruments, etc. – Nyse News Times
Artificial Intelligence in BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Sartorius, Mettler-Toledo, Ohaus Corporation, Thermo Fisher, Michell Instruments, etc. – Nyse News Times Skip to content Tuesday, March 24, 2020 Home Our Journalist Disclaimer Privacy Policy Contact Us About Us Nyse News Times Market News and Research Nyse News Times Market News and Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Search … Business News Industry Analysis Industry Reports Market Analysis Market Outlook Artificial Intelligence in BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Sartorius, Mettler-Toledo, Ohaus Corporation, Thermo Fisher, Michell Instruments, etc. basavraj March 24, 2020 No Comments Artificial Intelligence in BFSIArtificial Intelligence in BFSI  INDUSTRYArtificial Intelligence in BFSI  MARKET Global Artificial Intelligence in BFSI Market Report is a professional and in-depth research report on the world’s major regional market conditions of the Artificial Intelligence in BFSI industry, focusing on the main regions and the main countries (United States, Europe, Japan and China). Market Segmentations: Global Artificial Intelligence in BFSI market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer. Based on type, report split into On-Premise, Cloud-based. Based on the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including Voice Processing, Text Processing, Image Processing, Other. The report introduces Artificial Intelligence in BFSI basic information including definition, classification, application, industry chain structure, industry overview, policy analysis, and news analysis. Insightful predictions for the Artificial Intelligence in BFSI Market for the coming few years have also been included in the report. Artificial Intelligence in BFSI Market landscape and market scenario includes: Current market size estimate Revenues by players – Top 5 Companies Market size by product categories Market size by regions/country The Artificial Intelligence in BFSI industry development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects is assessed, and overall research conclusions offered. ENQUIRE MORE ABOUT THIS REPORT AT https://inforgrowth.com/enquiry/5558613/artificial-intelligence-in-bfsi-market Industrial Analysis of Artificial Intelligence in BFSI Market: CHAPTERS COVERED IN THIS REPORT ARE AS FOLLOW: Introduction Research Methodology Executive Summary Market Forces Market Outlook by Technology (Current size & future market estimates) Market Outlook by Connectivity Type (Current size & future market estimates) Market Outlook by Application (Current size & future market estimates) Market Outlook by Regions (Current size & future market estimates) Competitive Landscape Company Profiles Includes: Company Overview, Product & Services Offerings, Financials (only for listed companies), New Developments and Innovation) Companies considered for the analysis Get Special Discount Up To 50%,  https://inforgrowth.com/discount/5558613/artificial-intelligence-in-bfsi-market FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite # 104, Dublin, CA 94568, USA Contact Name: Rohan S. Email:[email protected] Phone: +1-909-329-2808 UK: +44 (203) 743 1898 Website: www.inforgrowth.com Leave a Reply Cancel reply Your email address will not be published. Required fields are marked *Comment Name * Email * Website Post navigation Previous Previous post: Feed Electrolytes Market Analysis, Trends, Top Manufacturers, Share, Growth, Statistics, Opportunities & Forecast To 2026Next Next post: Global Configuration Management Software Market 2020 report by top Companies: 3M, Molex, Mitsubishi Electric, Zierick, Rockwell Automation, etc. Search … Recent Posts Forecast On Ready To Use Tetraethylammonium Bromide Market Global Industry Analysis and Trends till 2020 Screw Air Compressors Market Development Strategy Analysis 2019-2025 Global Business Software and Service Market to generate huge revenue by 2025: Acumatica, Inc., Deltek, Epicor Software Corporation, IBM Corporation, etc. Clickstream Analytics Market Top Key Players, Size, Share, Demand, Opportunities And Forecasts Protein A Resins Market Explored By New Report For The Forecast 2016 – 2026 About Us Founded in 2018, Nyse News Times focuses on company news, research and analysis, which is even more important in recently’s uncertain investment environment. We provide comprehensive coverage of the most important news counting business, earnings reports, dividend, Acquisition & Merger and global news. Our award-winning analysts and contributors believe in producing and distributing high-quality news and economic research to a broad audience through diverse distribution networks and 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 Search … Home Our Journalist Disclaimer Privacy Policy Contact Us About Us Nyse News Times | Designed by: Theme Freesia | WordPress | © Copyright All right reserved Top
Artificial Intelligence in BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation
Artificial Intelligence BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Sartorius, MettlerToledo, Ohaus Corporation, Thermo Fisher, Michell Instruments, etc. Nyse News Times Skip content Tuesday, March 24, 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 Outlook Artificial Intelligence BFSI Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Sartorius, MettlerToledo, Ohaus Corporation, Thermo Fisher, Michell Instruments, etc. basavraj March 24, 2020 No Comments Artificial Intelligence BFSIArtificial Intelligence BFSI INDUSTRYArtificial Intelligence BFSI MARKET Global Artificial Intelligence BFSI Market Report professional indepth research report worlds major regional market conditions Artificial Intelligence BFSI industry, focusing main regions main countries United States, Europe, Japan China. Market Segmentations: Global Artificial Intelligence BFSI market competition manufacturers, production, price, revenue value market share manufacturer. Based type, report split OnPremise, Cloudbased. Based end usersapplications, report focuses status outlook major applicationsend users, consumption sales, market share growth rate application, including Voice Processing, Text Processing, Image Processing, Other. The report introduces Artificial Intelligence BFSI basic information including definition, classification, application, industry chain structure, industry overview, policy analysis, news analysis. Insightful predictions Artificial Intelligence BFSI Market coming years included report. Artificial Intelligence BFSI Market landscape market scenario includes: Current market size estimate Revenues players Top 5 Companies Market size product categories Market size regionscountry The Artificial Intelligence BFSI industry development trends marketing channels analyzed. Finally, feasibility new investment projects assessed, overall research conclusions offered. ENQUIRE MORE ABOUT THIS REPORT AT Industrial Analysis Artificial Intelligence BFSI Market: CHAPTERS COVERED IN THIS REPORT ARE AS FOLLOW: Introduction Research Methodology Executive Summary Market Forces Market Outlook Technology Current size future market estimates Market Outlook Connectivity Type Current size future market estimates Market Outlook Application Current size future market estimates Market Outlook Regions Current size future market estimates Competitive Landscape Company Profiles ludes: Company Overview, Product Services Offerings, Financials listed companies, New Developments Innovation Companies considered analysis Get Special Discount Up To 50, FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. Email:[emailprotected] Phone: 19093292808 UK: 44 203 743 1898 Website: Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Feed Electrolytes Market Analysis, Trends, Top Manufacturers, Share, Growth, Statistics, Opportunities Forecast To 2026Next Next post: Global Configuration Management Software Market 2020 report Companies: 3M, Molex, Mitsubishi Electric, Zierick, Rockwell Automation, etc. Recent Posts Forecast On Ready To Use Tetraethylammonium Bromide Market Global Industry Analysis Trends till 2020 Screw Air Compressors Market Development Strategy Analysis 20192025 Global Business Software Service Market generate huge revenue 2025: Acumatica, ., Deltek, Epicor Software Corporation, IBM Corporation, etc. Clickstream Analytics Market Top Key Players, Size, Share, Demand, Opportunities And Forecasts Protein A Resins Market Explored By New Report For The Forecast 2016 2026 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
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https://dagorettinews.com/global-bfsi-artificial-intelligence-market-2019-trends-market-share-industry-size-opportunities-analysis-and-forecast-to-2025/
2020-01-26T00:00:00
en
Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast To 2025 – Dagoretti News
Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast To 2025 – Dagoretti News Dagoretti News Science News and Reporting Home Contributors Privacy Policy Terms and Conditions About Contact Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast To 2025 January 26, 2020 Alex  Machinery-equipment, Other 0 The market study on the global BFSI Artificial Intelligence Market will include the entire ecosystem of the industry, covering five major regions namely North America, Europe, Asia Pacific, Latin America and Middle East & Africa, and the major countries falling under those regions. The study will feature estimates in terms of sales revenue and consumption from 2019 to 2025, at the global level and across the major regions mentioned above. The study has been created using a unique research methodology specifically designed for this market. Download Free Sample Copy of BFSI Artificial Intelligence Market Report: https://dataintelo.com/request-sample/?reportId=15325 Quantitative information includes BFSI Artificial Intelligence Market estimates & forecast for an upcoming years, at the global level, split across the key segments covered under the scope of the study, and the major regions and countries. Sales revenue and consumption estimates, year-on-year growth analysis, price estimation and trend analysis, etc. will be a part of quantitative information for the mentioned segments and regions/countries. Qualitative information will discuss the key factors driving the restraining the growth of the market, and the possible growth opportunities of the market, regulatory scenario, value chain & supply chain analysis, export & import analysis, attractive investment proposition, and Porters 5 Forces analysis among others will be a part of qualitative information. Further, justification for the estimates for each segments, and regions will also be provided in qualitative form. Major Players included in this report are as follows – Amazon Web Services, Inc.Google LLCIBM Corp.Microsoft Corp.Oracle Corp. BFSI Artificial Intelligence Market can be segmented into Product Types as – Recommendation EnginesChatbotsPredictive AnalyticsOthers BFSI Artificial Intelligence Market can be segmented into Applications as – BankingInvestment and Securities ManagementInsurance To Buy This Report Full Or Customized, Visit https://dataintelo.com/checkout/?reportId=15325 BFSI Artificial Intelligence 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 study will also feature the key companies operating in the industry, their product/business portfolio, market share, financial status, regional share, segment revenue, SWOT analysis, key strategies including mergers & acquisitions, product developments, joint ventures & partnerships an expansions among others, and their latest news as well. The study will also provide a list of emerging players in the BFSI Artificial Intelligence Market. Furthermore, this study will help our clients solve the following issues: Cyclical dynamics- We foresee dynamics of industries by using core analytical and unconventional market research approaches. Our clients use insights provided by us to maneuver themselves through market uncertainties and disruptions. Identifying key cannibalizes– Strong substitute of a product or service is the most prominent threat. Our clients can identify key cannibalizes of a market, by procuring our research. This helps them in aligning their new product development/launch strategies in advance. Spotting emerging trends- Our Ecosystem offering helps client to spot upcoming hot market trends. We also track possible impact and disruptions which a market would witness by a particular emerging trend. Our proactive analysis help clients to have early mover advantage. Interrelated opportunities- This report will allow clients to make decisions based on data, thereby increasing the chances that the strategies will perform better if not best in real world. Customize Report and Inquiry for The BFSI Artificial Intelligence Market Report: https://dataintelo.com/enquiry-before-buying/?reportId=15325 This study will address some of the most critical questions which are listed below: – What is the market size of the BFSI Artificial Intelligence Market at the global level? – Which mode of distribution channel is most preferred by the manufacturers of BFSI Artificial Intelligence? – Which is the preferred age group for targeting BFSI Artificial Intelligence for manufacturers? – What the key factors driving, inhibiting the growth of the market, and what is the degree of impact of the drivers and restraints? – What is the impact of the regulations on the growth of the BFSI Artificial Intelligence Market? – Which is the leading region/country for the growth of the market? What is the anticipated growth rate of the leading regions during the forecast period? – How are the emerging markets for BFSI Artificial Intelligence expected to perform in the coming years? How is the consumption pattern expected to evolve in the future? – Who are the major players operating in the global BFSI Artificial Intelligence Market? What is the current market position of the key players? Who are the emerging players in this industry? – Who are the major distributors, traders, and dealers operating in the BFSI Artificial Intelligence Market? Request For Discount Copy: https://dataintelo.com/ask-for-discount/?reportId=15325 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) Rotary Steerable Systems Market Strategies and Insight Driven Transformation 2019-2025 - January 26, 2020 Tight Gas Market Trends, Growth, Scope, Size, Overall Analysis and Prognostication by 2025 - January 26, 2020 Dental Scalers Market Global Industry Analysis, Size, Share, Growth, Trends, And Forecasts 2019–2025 - January 26, 2020 BFSI Artificial Intelligence MarketBFSI Artificial Intelligence Market analysisBFSI Artificial Intelligence Market forecastBFSI Artificial Intelligence Market playersBFSI Artificial Intelligence Market scopeBFSI Artificial Intelligence Market shareBFSI Artificial Intelligence Market sizeBFSI Artificial Intelligence Market trends PreviousStandard Modular Hydropower to Witness Growth Acceleration During 2019 – 2027 NextCustomer Analytics Applications Market 2019 Global Industry Growth Analysis, Segmentation, Size, Share, Trend, Future Demand and Leading Players Updates by Forecast to 2025 Search for: Latest News Right-handed Outswing Front Entrance Doors Market Forecast and Growth 2019-2027 January 26, 2020 Online Gambling Market Share 2019-2025| Top Company Profiles – William Hill, Bet365, PP+B, Betsson, Ladbrokes, Amaya, GVC Holdings, 888 holdings, Skybetting & gaming and Unibet(Kindred Group) January 26, 2020 Tray Sealing Machines Market Growth Rate, Production Volume and Future Opportunities From 2019-2024 January 26, 2020 Video Editing Software Market Analysis with Expanded Commercial and Residential Product Portfolio January 26, 2020 E-commerce Channel Gateway Solutions Market Insights – Industry Overview, Competitive Players & Forecast 2019 – 2027 January 26, 2020 Global Machine Tool Coolant System Market Insights, New Project Investment and Potential Growth Scope January 26, 2020 2019-2025 Artificial Liver Market Outlook and in-Depth Analysis by Top Players: Abbott Diabetes Care, Inc., Medtronic, Inc, Jarvik Heart January 26, 2020 Pineapple Coconut Water Market 2019 Analysis, Industry Size, Share Leaders, Current Status by Major vendors and Trends by Forecast to 2027 January 26, 2020 2019 3D Printing Healthcare Market Size by Top Key Players and Application with Trend and Growth by 3D Systems Software, EnvisionTEC, Stratasys Inc., Materialise NV January 26, 2020 Global Blood Purification Equipment Market – Segmented By Application, Type, Product – Growth, Trends & Forecast (2019 – 2024) January 26, 2020 Hydro Fluoric Acid Market Forecast Report by Market Insights, Volume, Opportunities, Type, Product Analysis, and Application January 26, 2020 High Heels Footwear Market to Make Great Impact in Near Future by 2019 – 2027 January 26, 2020 Offset Printing Plates Market Steady Growth to Be Witnessed by 2019-2031 January 26, 2020 Sump Pumps Market with Future Prospects, Key Player SWOT Analysis and Forecast To 2024 January 26, 2020 US Transport Management Systems Market- Key Vendors Analysis, Business Standards and Development Trends, Innovation in Technology and Forecast to 2025 January 26, 2020 Categories  Business  Chemicals-Materials  Energy  Finance  Healthcare  Machinery-equipment  Manufacturing-Construction  Semiconductor-electronics  Services Applied Sciences Beverage Biology Chemical Environment Food Geology Medicine and health Other Paleontology Psychology Space and astronomy Technology Wordpress theme by Shore News Now and Coding Elite.
Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast To 2025
Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis Forecast To 2025 Dagoretti News Dagoretti News Science News Reporting Home Contributors About Global BFSI Artificial Intelligence Market 2019 Trends, Market Share, Industry Size, Opportunities, Analysis Forecast To 2025 January 26, 2020 Alex Machineryequipment, Other 0 The market study global BFSI Artificial Intelligence Market include entire ecosystem industry, covering major regions North America, Europe, Asia Pacific, Latin America Middle East Africa, major countries falling regions. The study feature estimates terms sales revenue consumption 2019 2025, global level major regions mentioned above. The study created unique research methodology specifically designed market. Download Free Sample Copy BFSI Artificial Intelligence Market Report: Quantitative information includes BFSI Artificial Intelligence Market estimates forecast upcoming years, global level, split key segments covered scope study, major regions countries. Sales revenue consumption estimates, yearonyear growth analysis, price estimation trend analysis, etc. quantitative information mentioned segments regionscountries. Qualitative information discuss key factors driving restraining growth market, possible growth opportunities market, regulatory scenario, value chain supply chain analysis, export import analysis, attractive investment proposition, Porters 5 Forces analysis qualitative information. Further, justification estimates segments, regions provided qualitative form. Major Players included report follows Amazon Web Services, .Google LLCIBM Corp.Microsoft Corp.Oracle Corp. BFSI Artificial Intelligence Market segmented Product Types Recommendation EnginesChatbotsPredictive AnalyticsOthers BFSI Artificial Intelligence Market segmented Applications BankingInvestment Securities ManagementInsurance To Buy This Report Full Or Customized, Visit BFSI Artificial Intelligence 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. The study feature key companies operating industry, productbusiness portfolio, market share, financial status, regional share, segment revenue, SWOT analysis, key strategies including mergers acquisitions, product developments, joint ventures partnerships expansions others, latest news well. The study provide list emerging players BFSI Artificial Intelligence Market. Furthermore, study help clients solve following issues: Cyclical dynamics We foresee dynamics industries core analytical unconventional market research approaches. Our clients use insights provided maneuver market uncertainties disruptions. Identifying key cannibalizes Strong substitute product service prominent threat. Our clients identify key cannibalizes market, procuring research. This helps aligning new product developmentlaunch strategies advance. Spotting emerging trends Our Ecosystem offering helps client spot upcoming hot market trends. We track possible impact disruptions market witness particular emerging trend. Our proactive analysis help clients early mover advantage. Interrelated opportunities This report allow clients decisions based data, increasing chances strategies perform better best real world. Customize Report Inquiry The BFSI Artificial Intelligence Market Report: This study address critical questions listed below: What market size BFSI Artificial Intelligence Market global level? Which mode distribution channel preferred manufacturers BFSI Artificial Intelligence? Which preferred age group targeting BFSI Artificial Intelligence manufacturers? What key factors driving, inhibiting growth market, degree impact drivers restraints? What impact regulations growth BFSI Artificial Intelligence Market? Which leading regioncountry growth market? What anticipated growth rate leading regions forecast period? How emerging markets BFSI Artificial Intelligence expected perform coming years? How consumption pattern expected evolve future? Who major players operating global BFSI Artificial Intelligence Market? What current market position key players? Who emerging players industry? Who major distributors, traders, dealers operating BFSI Artificial Intelligence Market? Request For Discount Copy: 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 DataIntelo Name Alex Mathews Email [emailprotected] Website Address 500 East E Street, Ontario, CA 91764, United States. Author Recent Posts Alex Latest posts Alex Rotary Steerable Systems Market Strategies Insight Driven Transformation 20192025 January 26, 2020 Tight Gas Market Trends, Growth, Scope, Size, Overall Analysis Prognostication 2025 January 26, 2020 Dental Scalers Market Global Industry Analysis, Size, Share, Growth, Trends, And Forecasts 20192025 January 26, 2020 BFSI Artificial Intelligence MarketBFSI Artificial Intelligence Market analysisBFSI Artificial Intelligence Market forecastBFSI Artificial Intelligence Market playersBFSI Artificial Intelligence Market scopeBFSI Artificial Intelligence Market shareBFSI Artificial Intelligence Market sizeBFSI Artificial Intelligence Market trends PreviousStandard Modular Hydropower Witness Growth Acceleration During 2019 2027 NextCustomer Analytics Applications Market 2019 Global Industry Growth Analysis, Segmentation, Size, Share, Trend, Future Demand Leading Players Updates Forecast 2025 for: Latest News Righthanded Outswing Front Entrance Doors Market Forecast Growth 20192027 January 26, 2020 Online Gambling Market Share 20192025 Top Company Profiles William Hill, Bet365, PPB, Betsson, Ladbrokes, Amaya, GVC Holdings, 888 holdings, Skybetting gaming UnibetKindred Group January 26, 2020 Tray Sealing Machines Market Growth Rate, Production Volume Future Opportunities From 20192024 January 26, 2020 Video Editing Software Market Analysis Expanded Commercial Residential Product Portfolio January 26, 2020 Ecommerce Channel Gateway Solutions Market Insights Industry Overview, Competitive Players Forecast 2019 2027 January 26, 2020 Global Machine Tool Coolant System Market Insights, New Project Investment Potential Growth Scope January 26, 2020 20192025 Artificial Liver Market Outlook inDepth Analysis Top Players: Abbott Diabetes Care, ., Medtronic, , Jarvik Heart January 26, 2020 Pineapple Coconut Water Market 2019 Analysis, Industry Size, Share Leaders, Current Status Major vendors Trends Forecast 2027 January 26, 2020 2019 3D Printing Healthcare Market Size Top Key Players Application Trend Growth 3D Systems Software, EnvisionTEC, Stratasys ., Materialise NV January 26, 2020 Global Blood Purification Equipment Market Segmented By Application, Type, Product Growth, Trends Forecast 2019 2024 January 26, 2020 Hydro Fluoric Acid Market Forecast Report Market Insights, Volume, Opportunities, Type, Product Analysis, Application January 26, 2020 High Heels Footwear Market Make Great Impact Near Future 2019 2027 January 26, 2020 Offset Printing Plates Market Steady Growth Be Witnessed 20192031 January 26, 2020 Sump Pumps Market Future Prospects, Key Player SWOT Analysis Forecast To 2024 January 26, 2020 US Transport Management Systems Market Key Vendors Analysis, Business Standards Development Trends, Innovation Technology Forecast 2025 January 26, 2020 Categories Business ChemicalsMaterials Energy Finance Healthcare Machineryequipment ManufacturingConstruction Semiconductorelectronics Services Applied Sciences Beverage Biology Chemical Environment Food Geology Medicine health Other Paleontology Psychology Space astronomy Technology Wordpress theme Shore News Now Coding Elite.
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Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video
Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video Wccftech News COVID-19 Hardware Gaming Mobile Finance Deals Reviews Gaming Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video By Francesco De Meo 2 hours ago Share Tweet Submit There's still no trace of an official Diablo II remaster, but we can get a pretty good idea of how it would look thanks to a brand new video. Micheal ReznoR recently released a new video of his Diablo II Remaster project, showing the game running at 4K resolution and 60 frames per second. Sadly, the game doesn't actually run at this resolution and frame rate, as the video is a recording of the original Diablo II gameplay enhanced through Deep Learning Neural Network AI and Advanced Motion Interpolation. Still, the results are quite impressive. World of Warcraft: Shadowlands Preview – A Hero’s Beginning Diablo II in proper 16:9 3840x2160 this time and 60 fps? You asked for it, you have it! Let's play Sorceress and try some skills in various Acts. Using Glide + PlugY + 1.13c + BH + Slash Diablo + D2MultiRes + EAX + 3D + HRTF. There have been talks of an official Diablo II remaster for some time now. Back in May, it was being rumored that one is in the works by Vicarious Visions, but nothing has been announced as of now. Last year, Diablo series creators Max Schaefer, Erich Schaefer, and David Brevik revealed that a remaster is unlikely, as all the original assets are gone, and everything would have to be made from scratch, so if this rumored remaster would be closer to a remake in some ways. The next entry in the series will be Diablo IV, currently in development for PC, PlayStation 4, and Xbox One. The game, which has been announced last year, will go back to the series' dark roots, doing away with the visual design featured in Diablo III. A release date has yet to be confirmed. Share Tweet Submit Stay in the loop GET A DAILY DIGEST OF LATEST TECHNOLOGY NEWS Straight to your inbox Subscribe to our newsletter Related BlizzCon 2020 Officially Cancelled, Early 2021 Digital Event a Possibility Nathan Birch  •  May 26, 2020    10 PS5 Will Reportedly be Shown in Detail by August, Fresh Xbox Series X Look Coming in June Nathan Birch  •  May 18, 2020    10 A Diablo II Remaster Is In Development For A Late 2020 Release – Rumor Francesco De Meo  •  May 9, 2020    10 Activision Blizzard Delivers in Q1, Raises 2020 Outlook Due to Call of Duty and COVID-19 Nathan Birch  •  May 5, 2020    10 BlizzCon 2020 Might Not Be Feasible Warns Blizzard, but Plans Are Still Being Made Nathan Birch  •  Apr 9, 2020    10 Please enable JavaScript to view the comments. Trending Stories German Retailer Mindfactory Reports Higher Failure Rate For Radeon 5000 Series GPUs Than NVIDIA Turing Google Pixel 4a Goes Official: Snapdragon 730G, 6/128GB Memory, 12.2-Megapixel Camera and More in Just $349 New State Of Play Confirmed For August 6th; No Major PlayStation 5 Announcement Will Be Made GTA V Hits 135 Million Sold; Standalone GTA Online Coming, Will be Free on PS5 at Launch Next PS5 Announcement Reportedly Coming Later This Month Popular Discussions AMD’s Big Navi GPU Codenamed ‘Sienna Cichlid’ Will Allegedly Feature 5120 Stream Processors11119 NVIDIA RTX 3090 Will Allegedly Offer A Massive 50% Performance Increase2743 NVIDIA GeForce RTX 3080 Ampere Gaming Graphics Card Allegedly Up To 35% Faster Than Reference RTX 2080 Ti in 3DMark TimeSpy Benchmark2702 German Retailer Mindfactory Reports Higher Failure Rate For Radeon 5000 Series GPUs Than NVIDIA Turing2514 AMD Radeon Instinct MI100 ‘CDNA GPU’ Alleged Performance Numbers Show Its Faster Than NVIDIA’s A100 in FP32 Compute, Impressive Perf/Value2182 Sections Reviews How To's Exclusives Interviews Deals Video Entertainment PC Builder Topics Hardware Gaming Mobile Finance Software Security Web Know Us About Advertise Contact Tip Us Careers Terms of Use Privacy & Cookie Policy Ethics Statement Change Ad Consent Follow US Twitter Facebook YouTube Subscribe For latest tech news in your inbox, once a day! Wccftech © 2020 NewAge ADS, LLC. All rights reserved. Some posts on Wccftech.com may contain affiliate links. We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com
Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video
Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video Wccftech News COVID19 Hardware Gaming Mobile Finance Deals Reviews Gaming Diablo II AI Remastered Looks Glorious In New 4K, 60 FPS Video By Francesco De Meo 2 hours ago Share Tweet Submit Theres trace official Diablo II remaster, pretty good idea look thanks brand new video. Micheal ReznoR recently released new video Diablo II Remaster project, showing game running 4K resolution 60 frames second. Sadly, game doesnt actually run resolution frame rate, video recording original Diablo II gameplay enhanced Deep Learning Neural Network AI Advanced Motion Interpolation. Still, results impressive. World Warcraft: Shadowlands Preview A Heros Beginning Diablo II proper 16:9 3840x2160 time 60 fps? You asked it, Lets play Sorceress try skills Acts. Using Glide PlugY 1.13c BH Slash Diablo D2MultiRes EAX 3D HRTF. There talks official Diablo II remaster time now. Back May, rumored works Vicarious Visions, announced now. Last year, Diablo series creators Max Schaefer, Erich Schaefer, David Brevik revealed remaster unlikely, original assets gone, scratch, rumored remaster closer remake ways. The entry series Diablo IV, currently development PC, PlayStation 4, Xbox One. The game, announced year, series dark roots, away visual design featured Diablo III. A release date confirmed. Share Tweet Submit Stay loop GET A DAILY DIGEST OF LATEST TECHNOLOGY NEWS Straight inbox newsletter Related BlizzCon 2020 Officially Cancelled, Early 2021 Digital Event Possibility Nathan Birch May 26, 2020 10 PS5 Will Reportedly Shown Detail August, Fresh Xbox Series X Look Coming June Nathan Birch May 18, 2020 10 A Diablo II Remaster Is In Development For A Late 2020 Release Rumor Francesco De Meo May 9, 2020 10 Activision Blizzard Delivers Q1, Raises 2020 Outlook Due Call Duty COVID19 Nathan Birch May 5, 2020 10 BlizzCon 2020 Might Not Be Feasible Warns Blizzard, Plans Are Still Being Made Nathan Birch Apr 9, 2020 10 Please enable JavaScript view comments. Trending Stories German Retailer Mindfactory Reports Higher Failure Rate For Radeon 5000 Series GPUs Than NVIDIA Turing Google Pixel 4a Goes Official: Snapdragon 730G, 6128GB Memory, 12.2Megapixel Camera More Just 349 New State Of Play Confirmed For August 6th; No Major PlayStation 5 Announcement Will Be Made GTA V Hits 135 Million Sold; Standalone GTA Online Coming, Will Free PS5 Launch Next PS5 Announcement Reportedly Coming Later This Month Popular Discussions AMDs Big Navi GPU Codenamed Sienna Cichlid Will Allegedly Feature 5120 Stream Processors11119 NVIDIA RTX 3090 Will Allegedly Offer A Massive 50 Performance rease2743 NVIDIA GeForce RTX 3080 Ampere Gaming Graphics Card Allegedly Up To 35 Faster Than Reference RTX 2080 Ti 3DMark TimeSpy Benchmark2702 German Retailer Mindfactory Reports Higher Failure Rate For Radeon 5000 Series GPUs Than NVIDIA Turing2514 AMD Radeon Instinct MI100 CDNA GPU Alleged Performance Numbers Show Its Faster Than NVIDIAs A100 FP32 Compute, Impressive PerfValue2182 Sections Reviews How Tos Exclusives Interviews Deals Video Entertainment PC Builder Topics Hardware Gaming Mobile Finance Software Security Web Know Us About Advertise Tip Us Careers Terms Use Privacy Policy Ethics Statement Change Ad Consent Follow US Twitter Facebook YouTube For latest tech news inbox, day Wccftech 2020 NewAge ADS, LLC. . Some posts contain affiliate links. We participant Amazon Services LLC Associates Program, affiliate advertising program designed provide means sites earn advertising fees advertising linking
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https://canaanmountainherald.com/uncategorized/129204/artificial-intelligence-ai-as-a-service-market-size-share-application-analysis-regional-outlook-growth-trends-key-players-competitive-strategies-and-forecasts-to-2025/
2020-12-02T00:00:00
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Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025 – Canaan Mountain Herald
Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025 – Canaan Mountain Herald Skip to content Wed. Dec 2nd, 2020 Canaan Mountain Herald All News Energy News Space Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025 Byanita Dec 2, 2020 Artificial Intelligence (AI) As a Service, Artificial Intelligence (AI) As a Service Industry Size, Artificial Intelligence (AI) As a Service Market 2020, Artificial Intelligence (AI) As a Service Market Analysis, Artificial Intelligence (AI) As a Service Market Forecast, Artificial Intelligence (AI) As a Service Market Revenue, Artificial Intelligence (AI) As a Service Market Share, Artificial Intelligence (AI) As a Service Market Size, Artificial Intelligence (AI) As a Service Market Trend, Market Growth 2020 “A well-articulated research report presentation governing current developments and past developmental milestones have been recently flagged in the humongous data archive to unearth tangible development factors and responsible for growth enablement at current and historical timeframes. 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Significant players and contributing ones active across global regional and local levels of vendor landscape have been meticulously adjudged on several parameters such as product and company profiles, core business objectives, pipeline initiatives as well as lucrative business decisions deployed by several prominent players to secure revenue stability. Browse the complete Artificial Intelligence (AI) As a Service market report @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-ai-as-a-service-market-report-2019?utm_source=Atish A dedicated chapter on Artificial Intelligence (AI) As a Service market segmentation with astute references of revenue potential and their future scope of growth enablement have all been minutely highlighted and pinned in the report to encourage high potential growth in global Artificial Intelligence (AI) As a Service market. About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. 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Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 “ Post navigation Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 By anita Related Post Recent Posts Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025 Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Home Healthcare Software Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Waste Oil Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Architectural Fountains and Waterfalls Services Market 2020 Global Analysis, Opportunities, Growth and Forecast to 2025 You missed Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025 Dec 2, 2020 anita All News Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Dec 2, 2020 Credible Markets All News Home Healthcare Software Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Dec 2, 2020 Credible Markets All News Waste Oil Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics and Research Methodology by Forecast to 2026 Dec 2, 2020 Credible Markets Canaan Mountain Herald Proudly powered by WordPress | Theme: Newsup by Themeansar. 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Artificial Intelligence (AI) As a Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2025
Artificial Intelligence AI As Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies Forecasts 2025 Canaan Mountain Herald Skip content Wed. Dec 2nd, 2020 Canaan Mountain Herald All News Energy News Space Artificial Intelligence AI As Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies Forecasts 2025 Byanita Dec 2, 2020 Artificial Intelligence AI As Service, Artificial Intelligence AI As Service Industry Size, Artificial Intelligence AI As Service Market 2020, Artificial Intelligence AI As Service Market Analysis, Artificial Intelligence AI As Service Market Forecast, Artificial Intelligence AI As Service Market Revenue, Artificial Intelligence AI As Service Market Share, Artificial Intelligence AI As Service Market Size, Artificial Intelligence AI As Service Market Trend, Market Growth 2020 A wellarticulated research report presentation governing current developments past developmental milestones recently flagged humongous data archive unearth tangible development factors responsible growth enablement current historical timeframes. Access PDF sample Artificial Intelligence AI As Service market report @ @ Key Players Mentioned Report: Google Amazon web services IBM Microsoft SAP Salesforce Intel Baidu FICO SAS BigML Based vital data, market participants global Artificial Intelligence AI As Service market develop deploy accurate growth forecast predictions indispensable healthy growth coming years. This indepth overview Artificial Intelligence AI As Service market developments reveals crucial information pandemic occurrences subsequent management evolutionary track. Make enquiry Artificial Intelligence AI As Service market report @ This vital research report global Artificial Intelligence AI As Service market heedfully rafted demonstrate crucial data significant market elements production patterns, supply chain alterations, DROT assessment upstream downstream production processes, logistics distribution management direct accurate growth prognosis global Artificial Intelligence AI As Service market. 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We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Post navigation Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 By anita Related Post Recent Posts Artificial Intelligence AI As Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies Forecasts 2025 Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Home Healthcare Software Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Waste Oil Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Architectural Fountains Waterfalls Services Market 2020 Global Analysis, Opportunities, Growth Forecast 2025 You missed Artificial Intelligence AI As Service Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies Forecasts 2025 Dec 2, 2020 anita All News Isinglass Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Dec 2, 2020 Credible Markets All News Home Healthcare Software Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Dec 2, 2020 Credible Markets All News Waste Oil Market Size 2020 Demand, Global Trend, News, Business Growth, Top Key Players Update, Business Statistics Research Methodology Forecast 2026 Dec 2, 2020 Credible Markets Canaan Mountain Herald Proudly powered WordPress Theme: Newsup Themeansar. 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https://royalsuttonnews.uk/energy/175281/global-artificial-intelligence-in-the-education-sector-market-2025-real-time-analysis-forecast-of-covid-19-impact-on-top-manufacturers-cognii-ibm-quantum-adaptive-learning-alkes-dreambox-le/
2020-11-13T00:00:00
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Global Artificial Intelligence in the Education Sector Market 2025 Real Time Analysis & Forecast of COVID 19 Impact on Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard – Royal Sutton News
Global Artificial Intelligence in the Education Sector Market 2025 Real Time Analysis & Forecast of COVID 19 Impact on Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard – Royal Sutton News Skip to content Menu Industry Analysis Market Report Market Research All news Contact Search for: Search Royal Sutton News Menu Industry Analysis Market Report Market Research All news Contact Search for: Search Flash News Global Artificial Intelligence in the Education Sector Market 2025 Real Time Analysis & Forecast of COVID 19 Impact on Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard Global Voice and Data 3G Smartphone Market 2020 Analysis by Top Key players- Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics Inc., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications Inc., Spice Mobility Limited, Advanced and Predictive Analytics Market SWOT Analysis, by Key Players: International Business Machines Corporation (IBM), SAS Institute Inc., Microsoft Corporation, SAP AG, Tableau Software Inc., Information Builders, Inc., Fair Isaac Corporation (FICO), Teradata Corporation, Acxiom Corporation, Oracle Corporation, TIBCO Software Inc., Global Electrodeionization Market 2020 Analysis by Top Key players- Angstrom Mühendislik, BWT, Mega Group, Osmo Sistemi S.R.L., Qua Group, Snowpure, LLC, Suez SA, Veolia Environnement S.A., Evoqua Water Technologies LLC, Ovivo Inc, Pure Aqua Inc, Military Cyber Security Market SWOT Analysis, by Key Players: Northrop Grumman Corporation, Lockheed Martin, Raytheon, General Dynamics, Thales, Radiance Technologies, Booz Allen Hamilton, KeyW Corporation, CGI Group, ManTech, AI in Oil and Gas Market SWOT Analysis, by Key Players: IBM (US), Accenture (Republic of Ireland), Google (US), Microsoft Corporation (US), Oracle (US) Knowledge Process Outsourcing (KPO) Market SWOT Analysis, by Key Players: Accenture, EXL Services, Genpact, McKinsey and Company, Mphasis, RR Donnelley & Sons Company, Wipro Limited, HCL, Explosive Ordnance Disposal (EOD) Robot Sales Market Scope Analysis 2020-2040 Liquid Waste Management Market SWOT Analysis, by Key Players: Waste Management, Inc., Republic Services, Inc., Veolia Environmental Services North America Corp, Clean Harbors Environmental Services, Covanta Ltd., Stericycle, Waste Management, Inc., U.S. Ecology, Inc., Republic Services, Inc., Heritage-Crystal Clean, LLC (HCC), Heritage Environmental Services, Hazardous Waste Experts, EnviroSolids, L.L.C., Veterinary Surgical Sutures Market Extensive Growth Opportunities to Be Witnessed by 2020-2046 Friday, November 13, 2020 Energy Global Artificial Intelligence in the Education Sector Market 2025 Real Time Analysis & Forecast of COVID 19 Impact on Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard anita 13th November 2020 Global Artificial Intelligence in the Education Sector Market: Introduction A concise and well researched report presentation on Global Artificial Intelligence in the Education Sector Market has been recently added to our vast online data repository to clearly highlight market relevant developments and events that collectively incur optimistic growth likelihood. The report takes a detailed overview of the historical market specific events and developments that accrued remunerative returns in the past decades. A thorough evaluation of past and current developments are expected to curve an agile growth curve through the growth span years. The report is poised to present a dynamic overview of the global growth perspectives and fast transitioning market dynamics and influencers of the industry. A critical evaluation of the historical and current timelines have been tagged in the report to encourage accurate forecast predictions.Value and volume based projections have remained key report offerings, besides complete trend analysis and competitor activities and eventual investment preferences have also been discussed at length to invoke future ready business decisions. The study encompasses profiles of major companies operating in the Artificial Intelligence in the Education Sector Market. Key players profiled in the report include:CogniiIBMQuantum adaptive learningALKESDreambox learningBlackboardMicrosoftPearsonJenzabarSOFIA Esteemed report readers, and eminent market participants comprising of key players as well as frontline investors can get hassle-free access to this in-depth market intelligence report to plan and delegate optimum business discretion complying effectively with manufacturer inclination towards harnessing COVID-19 readiness. Manufacturing Landscape: Elaborate portfolios of various local, regional, and global vendors and manufacturers inclusive of SWOT analysis, capacity and product catalog and capacity, and other vital details that remain important constituents of the market. Executive Summary: This particular section of the report lends appropriate to focus on various factors such as growth rate, optimum drivers and restraints, competitors as well as trends that define the competition outline. Regional Outlook: Further in the report, discussions on other relevant factors such as revenue generation traits, lead players, thorough detailing of production and consumption ratios and the like have also been included in the report to encourage unfaltering business moves and investment discretion that secures healthy growth trail in the global Artificial Intelligence in the Education Sector market. Key Report Deliverable: Global Artificial Intelligence in the Education Sector Market • The report in its attempt to influence meticulous investment planning offers a precise outlook of pre and post COVID-19 analysis that render decisive growth influence. • Starkalterations along demand and supply chain dynamics have also been widely highlighted in the report to encourage accurate market understanding • The report also aims to serve as a ready-to-refer guide to aid Artificial Intelligence in the Education Sector market participants deliver futuristic investment discretion aligning with industry demands beyond pandemic timeline. • A close review of the geographical spectrum has also been well included in the report to identify high potential growth hotspots across developed and emerging areas. • Some of the most dominant geographical growth hotspots have been identified acrossNorth America, Europe, Asia-Pacific, Southeast Asia, Middle East and Africa, South America • Details on Artificial Intelligence in the Education Sector market performance, profit margin, revenue generation trends through the forecast tenure have been widely entailed in the report Access Complete Report @ https://www.orbismarketreports.com/global-artificial-intelligence-in-the-education-sector-market-size-status-and-forecast-2019-2025?utm_source=Puja Segment-wise AssessmentVital market relevant information encompassing details on Artificial Intelligence in the Education Sector market have been sourced across myriad source hubs to draw logical conclusions. For maximum reader ease and seamless comprehension, report offerings have been classified and arranged in the form of graphs, charts and tabular format to induce mindful decision making in the competitive landscape. By the product type, the market is primarily split into Learner ModelPedagogical ModelDomain Model By the end-users/application, this report covers the following segments Higher EducationPrimary and Secondary Education Global Artificial Intelligence in the Education Sector Market: Regional AnalysisThis section of the report also lends veritable insights and workable cues on region specific progresses as well as country-based advances encompassing product and service portfolio developments. Key focus of the report includes details specific to Europe, North America, APAC, MEA and South America. The key regions covered in the Artificial Intelligence in the Education Sector 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.) Some of the most relevant global Artificial Intelligence in the Education Sector market report highlights enlisted as under: The report hovers over presenting crucial market development-related information across historical and current timelines.  The report specifically highlights growth steering market strategies besides identifying frontline market participants and other contributing participants and stakeholders  The report optimally draws reader attention towards identifying chief market trends, ongoing developments as well as future probabilities that shape market forces.  A decisive demonstration of the competitive landscape with pertinent details on key vendors and segment potential form crucial report contents. Scope of the ReportThe discussed Artificial Intelligence in the Education Sector market has been valued at xx million US dollars in 2019 and is further projected to grow at xx million US dollars through the forecast span till 2025, growing at a CAGR of xx% through the forecast period. Place Inquiry for Buying or Customization of [email protected] https://www.orbismarketreports.com/enquiry-before-buying/65521?utm_source=Puja The report critically identifies the segment with promising growth potential. Based on such information Artificial Intelligence in the Education Sector market participants, new entrants as well as notable veterans may re-evaluate growth objectives to ensure smooth growth strides in forthcoming years. (*If you have any special requirements, please let us know and we will offer you the report as you want.) About Us : Our team of expert research professionals are committed to offering high-end industry-specific critical reports inclusive of high accuracy insights for future-ready business discretion. Our commitment of unbiased research has enabled a thorough evaluation process of voluminous data to infer market-relevant derivation. 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 Post navigation Global Voice and Data 3G Smartphone Market 2020 Analysis by Top Key players- Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics Inc., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications Inc., Spice Mobility Limited, Search for: Recent Posts Global Voice and Data 3G Smartphone Market 2020 Analysis by Top Key players- Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics Inc., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications Inc., Spice Mobility Limited, Advanced and Predictive Analytics Market SWOT Analysis, by Key Players: International Business Machines Corporation (IBM), SAS Institute Inc., Microsoft Corporation, SAP AG, Tableau Software Inc., Information Builders, Inc., Fair Isaac Corporation (FICO), Teradata Corporation, Acxiom Corporation, Oracle Corporation, TIBCO Software Inc., Global Electrodeionization Market 2020 Analysis by Top Key players- Angstrom Mühendislik, BWT, Mega Group, Osmo Sistemi S.R.L., Qua Group, Snowpure, LLC, Suez SA, Veolia Environnement S.A., Evoqua Water Technologies LLC, Ovivo Inc, Pure Aqua Inc, Military Cyber Security Market SWOT Analysis, by Key Players: Northrop Grumman Corporation, Lockheed Martin, Raytheon, General Dynamics, Thales, Radiance Technologies, Booz Allen Hamilton, KeyW Corporation, CGI Group, ManTech, AI in Oil and Gas Market SWOT Analysis, by Key Players: IBM (US), Accenture (Republic of Ireland), Google (US), Microsoft Corporation (US), Oracle (US) Proudly powered by WordPress | Theme: TimesNews | By ThemeSpiral.com. 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Global Artificial Intelligence in the Education Sector Market 2025 Real Time Analysis & Forecast of COVID 19 Impact on Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard
Global Artificial Intelligence Education Sector Market 2025 Real Time Analysis Forecast COVID 19 Impact Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard Royal Sutton News Skip content Menu Industry Analysis Market Report Market Research All news for: Royal Sutton News Menu Industry Analysis Market Report Market Research All news for: Flash News Global Artificial Intelligence Education Sector Market 2025 Real Time Analysis Forecast COVID 19 Impact Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard Global Voice Data 3G Smartphone Market 2020 Analysis Top Key players Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics ., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications ., Spice Mobility Limited, Advanced Predictive Analytics Market SWOT Analysis, Key Players: International Business Machines Corporation IBM, SAS Institute ., Microsoft Corporation, SAP AG, Tableau Software ., Information Builders, ., Fair Isaac Corporation FICO, Teradata Corporation, Acxiom Corporation, Oracle Corporation, TIBCO Software ., Global Electrodeionization Market 2020 Analysis Top Key players Angstrom Mhendislik, BWT, Mega Group, Osmo Sistemi S.R.L., Qua Group, Snowpure, LLC, Suez SA, Veolia Environnement S.A., Evoqua Water Technologies LLC, Ovivo , Pure Aqua , Military Cyber Security Market SWOT Analysis, Key Players: Northrop Grumman Corporation, Lockheed Martin, Raytheon, General Dynamics, Thales, Radiance Technologies, Booz Allen Hamilton, KeyW Corporation, CGI Group, ManTech, AI Oil Gas Market SWOT Analysis, Key Players: IBM US, Accenture Republic Ireland, Google US, Microsoft Corporation US, Oracle US Knowledge Process Outsourcing KPO Market SWOT Analysis, Key Players: Accenture, EXL Services, Genpact, McKinsey Company, Mphasis, RR Donnelley Sons Company, Wipro Limited, HCL, Explosive Ordnance Disposal EOD Robot Sales Market Scope Analysis 20202040 Liquid Waste Management Market SWOT Analysis, Key Players: Waste Management, ., Republic Services, ., Veolia Environmental Services North America Corp, Clean Harbors Environmental Services, Covanta Ltd., Stericycle, Waste Management, ., U.S. Ecology, ., Republic Services, ., HeritageCrystal Clean, LLC HCC, Heritage Environmental Services, Hazardous Waste Experts, EnviroSolids, L.L.C., Veterinary Surgical Sutures Market Extensive Growth Opportunities Be Witnessed 20202046 Friday, November 13, 2020 Energy Global Artificial Intelligence Education Sector Market 2025 Real Time Analysis Forecast COVID 19 Impact Top Manufacturers: Cognii, IBM, Quantum adaptive learning, ALKES, Dreambox learning, Blackboard anita 13th November 2020 Global Artificial Intelligence Education Sector Market: Introduction A concise researched report presentation Global Artificial Intelligence Education Sector Market recently added vast online data repository clearly highlight market relevant developments events collectively incur optimistic growth likelihood. The report takes detailed overview historical market specific events developments accrued remunerative returns past decades. A thorough evaluation past current developments expected curve agile growth curve growth span years. The report poised present dynamic overview global growth perspectives fast transitioning market dynamics influencers industry. A critical evaluation historical current timelines tagged report encourage accurate forecast predictions.Value volume based projections remained key report offerings, complete trend analysis competitor activities eventual investment preferences discussed length invoke future ready business decisions. The study encompasses profiles major companies operating Artificial Intelligence Education Sector Market. Key players profiled report include:CogniiIBMQuantum adaptive learningALKESDreambox learningBlackboardMicrosoftPearsonJenzabarSOFIA Esteemed report readers, eminent market participants comprising key players frontline investors hasslefree access indepth market intelligence report plan delegate optimum business discretion complying effectively manufacturer inclination harnessing COVID19 readiness. Manufacturing Landscape: Elaborate portfolios local, regional, global vendors manufacturers inclusive SWOT analysis, capacity product catalog capacity, vital details remain important constituents market. Executive Summary: This particular section report lends appropriate focus factors growth rate, optimum drivers restraints, competitors trends define competition outline. Regional Outlook: Further report, discussions relevant factors revenue generation traits, lead players, thorough detailing production consumption ratios like included report encourage unfaltering business moves investment discretion secures healthy growth trail global Artificial Intelligence Education Sector market. Key Report Deliverable: Global Artificial Intelligence Education Sector Market The report attempt influence meticulous investment planning offers precise outlook pre post COVID19 analysis render decisive growth influence. Starkalterations demand supply chain dynamics widely highlighted report encourage accurate market understanding The report aims serve readytorefer guide aid Artificial Intelligence Education Sector market participants deliver futuristic investment discretion aligning industry demands pandemic timeline. A close review geographical spectrum included report identify high potential growth hotspots developed emerging areas. Some dominant geographical growth hotspots identified acrossNorth America, Europe, AsiaPacific, Southeast Asia, Middle East Africa, South America Details Artificial Intelligence Education Sector market performance, profit margin, revenue generation trends forecast tenure widely entailed report Access Complete Report @ Segmentwise AssessmentVital market relevant information encompassing details Artificial Intelligence Education Sector market sourced myriad source hubs draw logical conclusions. For maximum reader ease seamless comprehension, report offerings classified arranged form graphs, charts tabular format induce mindful decision making competitive landscape. By product type, market primarily split Learner ModelPedagogical ModelDomain Model By endusersapplication, report covers following segments Higher EducationPrimary Secondary Education Global Artificial Intelligence Education Sector Market: Regional AnalysisThis section report lends veritable insights workable cues region specific progresses countrybased advances encompassing product service portfolio developments. Key focus report includes details specific Europe, North America, APAC, MEA South America. The key regions covered Artificial Intelligence Education Sector 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. Some relevant global Artificial Intelligence Education Sector market report highlights enlisted under: The report hovers presenting crucial market developmentrelated information historical current timelines. The report specifically highlights growth steering market strategies identifying frontline market participants contributing participants stakeholders The report optimally draws reader attention identifying chief market trends, ongoing developments future probabilities shape market forces. A decisive demonstration competitive landscape pertinent details key vendors segment potential form crucial report contents. Scope ReportThe discussed Artificial Intelligence Education Sector market valued xx million US dollars 2019 projected grow xx million US dollars forecast span till 2025, growing CAGR xx forecast period. Place Inquiry Buying Customization [emailprotected] The report critically identifies segment promising growth potential. Based information Artificial Intelligence Education Sector market participants, new entrants notable veterans reevaluate growth objectives ensure smooth growth strides forthcoming years. If special requirements, let know offer report want. : Our team expert research professionals committed offering highend industryspecific critical reports inclusive high accuracy insights futureready business discretion. Our commitment unbiased research enabled thorough evaluation process voluminous data infer marketrelevant derivation. 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 Global Voice Data 3G Smartphone Market 2020 Analysis Top Key players Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics ., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications ., Spice Mobility Limited, for: Recent Posts Global Voice Data 3G Smartphone Market 2020 Analysis Top Key players Samsung, Apple, Huawei Technologies, Lenovo Group Limited, LG Electronics ., TCL Communication Technology Holdings Ltd., ZTE Corporation, Bluebank Communication Technology Co. Ltd., Sony Mobile Communications ., Spice Mobility Limited, Advanced Predictive Analytics Market SWOT Analysis, Key Players: International Business Machines Corporation IBM, SAS Institute ., Microsoft Corporation, SAP AG, Tableau Software ., Information Builders, ., Fair Isaac Corporation FICO, Teradata Corporation, Acxiom Corporation, Oracle Corporation, TIBCO Software ., Global Electrodeionization Market 2020 Analysis Top Key players Angstrom Mhendislik, BWT, Mega Group, Osmo Sistemi S.R.L., Qua Group, Snowpure, LLC, Suez SA, Veolia Environnement S.A., Evoqua Water Technologies LLC, Ovivo , Pure Aqua , Military Cyber Security Market SWOT Analysis, Key Players: Northrop Grumman Corporation, Lockheed Martin, Raytheon, General Dynamics, Thales, Radiance Technologies, Booz Allen Hamilton, KeyW Corporation, CGI Group, ManTech, AI Oil Gas Market SWOT Analysis, Key Players: IBM US, Accenture Republic Ireland, Google US, Microsoft Corporation US, Oracle US Proudly powered WordPress Theme: TimesNews By . 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https://www.forbes.com/sites/johnkang/2020/04/01/30-under-30-asia-2020-the-startups-leveraging-ai-and-machine-learning-to-transform-businesses/
2020-04-02T00:00:00
en
30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform Businesses
30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform BusinessesSign in to your Forbes account orregisterPlease help us continue to provide you with free, quality journalism by turning off your ad blocker on our site.For instructions on how to disable your ad blocker, click here.I’ve Turned Off My Ad BlockerOr Sign In To Continue Using An Ad BlockerThank you for signing in.If this is your first time registering, please check your inbox for more information about the benefits of your Forbes account and what you can do next!I agree to receive occasional updates and announcements about Forbes products and services. You may opt out at any time.I'd like to receive the Forbes Daily Dozen newsletter to get the top 12 headlines every morning.Forbes takes privacy seriously and is committed to transparency. We will never share your email address with third parties without your permission. 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All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit StoryApr 1, 2020,05:40pm EDT30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform BusinessesJohn KangForbes StaffAsiaI write about Asia’s billionaires and their businesses.This story appears in the April 2020 issue of Forbes Asia. Subscribe to Forbes AsiaShare to FacebookShare to TwitterShare to Linkedin Hyunsoo Kim, cofounder of Superb AI. Jae-hyun Kim for Forbes Asia Hyunsoo Kim, a 29-year-old entrepreneur in South Korea, is on a mission to democratize artificial intelligence to enable more companies, both large and small, to utilize the emerging technology. So it's only fitting that Kim, cofounder of Superb AI, has been selected as the featured honoree for the Enterprise Technology category of this year’s Forbes 30 Under 30 Asia list, leading a pack of several fellow honorees who founded startups based on AI. Since launching Superb AI in April 2018 with four cofounders, Kim has grown his startup to $2 million in revenues last year and 21 employees, fueled by increasing demand for AI. Profits are still in the future, but Superb AI also managed last year to join Y Combinator, a prominent Silicon Valley startup accelerator. So far, it has raised $2 million in funding from Y Combinator, Duke University and VC firms in Silicon Valley, Seoul and Dubai, giving it a valuation of $12 million as of March 2019. Superb AI helps companies create and manage the huge amounts of customized datasets they need to build algorithms. “We wanted to solve these problems and lower the hurdle for industries to adopt machine-learning technology,” says Kim. Today In: Asia21 And Under: Meet The Youngest Members Of Forbes 30 Under 30 Asia 2020 ListFrom Muslim Matchmaking To Japanese Funeral Services: Meet The 30 Under 30 Entrepreneurs In Asia Changing How We Do ThingsFrom Economic Empowerment To Waste Management, These 30 Under 30 Social Entrepreneurs Are Making An Impact In AsiaThe inspiration for Superb AI came to Kim while he was pursuing a Ph.D. in robotics and AI at Duke University. When companies work on a machine-learning project, data must be manually labeled in order to train a computer in the algorithms—an expensive, laborious and error-prone process. “This is partly because building a deep learning system requires extreme amounts of labeled data that involve labor-intensive manual work and because a standalone AI system is not accurate enough to be fully trusted in most situations,” says Kim, who dropped out of the Ph.D. program to focus on Superb AI. Forbes Asia Superb AI uses deep learning AI to label and analyze images and videos up to 10 times faster than manual processes can, Kim says. About 30 companies already use Superb AI’s platform, mostly small businesses but also Samsung, LG, Qualcomm and Pokémon Go maker Niantic. Now Kim is looking to expand further in North America and enter Europe. “We believe that AI should be widely adopted and used as a commodity across all industries to truly empower humans,” says Kim. “And we will make it happen.” According to a McKinsey & Company report, about half of the 2,135 business leaders it surveyed in 2018 across various sectors said their companies deployed at least one AI-based system into its business. Another McKinsey report in 2018 estimates that AI could add around $13 trillion by 2030 to the current global economic output. Hong Kong-based Gerardo Salandra is one of the business leaders contributing to the AI-driven economic growth. Salandra is cofounder and CEO of Rocketbots, an AI-powered chat automation platform for customer engagement. The AI element allows Rocketbots to learn messages in more than 15 languages, including English, Spanish and Chinese, then suggest a response to speed up conversations with customers. According to Rocketbots, more than 10,000 companies use the platform, including Accenture, AXA and PricewaterhouseCoopers. Salandra is also the president of the Artificial Intelligence Society of Hong Kong, an association with more than 4,000 members dedicated to the development of AI and adoption of the technology. Transforming Industries One of the industries where AI is playing a big tangible role and driving transformation is finance. Last year, financial-services firms invested an estimated $5.6 billion on AI, according to research firm IDC, second only to the retail industry, which is estimated to have spent $5.9 billion. Founded by Ashish Airon, CogniTensor is an example of how AI is being utilized in finance. The startup uses AI mainly to predict prices of commodities and energy. CogniTensor is working with India’s largest power trader, the state-owned Power Trading Corp., to help it with its power procurement strategies. In commodities, it started off with predicting prices for aluminum. Airon is also a member of the WHO – ITU Focus Group working on standardizing AI for health solutions. Ashish Airon, cofounder of CogniTensor. Supplied photo AI technology is not just being used to improve business operations, but also for sustainable development. 30 Under 30 Asia list honorees Ayushi Mishra and Utkarsh Singh are doing just that. The duo cofounded DronaMaps, a startup operating an AI-powered platform that creates and analyzes 3D maps to develop cities, villages and neighborhoods with pipeline planning, precision agriculture and flood mitigation, among others. Since its launch in 2016, it has mapped 600 square kilometers across six states in India. DronaMaps has worked with governments, universities and companies, including Reliance Industries, SAP and Johns Hopkins University. “The amount of advantages that one could draw from such a dense dataset is simply overwhelming,” says Singh, CEO of DronaMaps. “It’s truly the first time we are able to completely capture the world around us directly into the computing systems and updating it in real-time as we see our decisions being carried out.” AI is also being increasingly used to protect governments against cybersecurity threats. The U.S., for example, which together with China are leaders in AI, unveiled plans last month to increase federal funding for AI research at the Defense Department from $50 million to $249 million. In the South Korean capital, Seoul, Eunhee (Jenny) An founded WhiteScan, which develops practical applications using AI. One product is SecurityRanker, an AI-enhanced platform that can structure hacking patterns, which is used by South Korean government agencies to strengthen their cyber security capabilities. Last year, WhiteScan received a Service Excellence Award by the Korea Intelligent Information System Society. An says clients of WhiteScan include Korea’s Ministry of National Defense, Republic of Korea Army, Korea Information Technology Research Institute and the National Security Research Institute. Additional reporting by Jihyun Park. Follow me on Twitter or LinkedIn. Send me a secure tip. John KangI’m an assistant editor based in Hong Kong, writing and editing stories about Asia's billionaires and their businesses. Previously, I was a reporter covering law firms at… Read MoreI’m an assistant editor based in Hong Kong, writing and editing stories about Asia's billionaires and their businesses. Previously, I was a reporter covering law firms at Law.com and Thomson Reuters. You can email me at jkang[at]forbes.com and follow me on Twitter @johnhjkang. Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices
30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform Businesses
30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform BusinessesSign Forbes accountorregisterPlease help continue provide free, quality journalism turning ad blocker site.For instructions disable ad blocker,click here.Ive Turned Off My Ad BlockerOr To Continue Using An Ad BlockerThank signing in.If time registering, check inbox information benefits Forbes account nextI agree receive occasional updates announcements Forbes products services. You opt time.Id like receive Forbes Daily Dozen newsletter 12 headlines morning.Forbes takes privacy seriously committed transparency. We share email address parties permission. 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BETAThis BETA experience. You optout byclicking hereEdit StoryApr 1, 2020,05:40pm EDT30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform BusinessesJohn KangForbes StaffAsiaI write Asias billionaires businesses.This story appears April 2020 issue Forbes Asia. Forbes AsiaShare FacebookShare TwitterShare Linkedin Hyunsoo Kim, cofounder Superb AI. Jaehyun Kim Forbes Asia Hyunsoo Kim, 29yearold entrepreneur South Korea, mission democratize artificial intelligence enable companies, large small, utilize emerging technology. So fitting Kim, cofounder Superb AI, selected featured honoree Enterprise Technology category years Forbes 30 Under 30 Asia list, leading pack fellow honorees founded startups based AI. Since launching Superb AI April 2018 cofounders, Kim grown startup 2 million revenues year 21 employees, fueled increasing demand AI. Profits future, Superb AI managed year join Y Combinator, prominent Silicon Valley startup accelerator. So far, raised 2 million funding Y Combinator, Duke University VC firms Silicon Valley, Seoul Dubai, giving valuation 12 million March 2019. Superb AI helps companies create manage huge amounts customized datasets need build algorithms. We wanted solve problems lower hurdle industries adopt machinelearning technology, says Kim. Today In: Asia21 And Under: Meet The Youngest Members Of Forbes 30 Under 30 Asia 2020 ListFrom Muslim Matchmaking To Japanese Funeral Services: Meet The 30 Under 30 Entrepreneurs In Asia Changing How We Do ThingsFrom Economic Empowerment To Waste Management, These 30 Under 30 Social Entrepreneurs Are Making An Impact In AsiaThe inspiration Superb AI came Kim pursuing Ph.D. robotics AI Duke University. When companies work machinelearning project, data manually labeled order train algorithmsan expensive, laborious errorprone process. This partly building deep learning requires extreme amounts labeled data involve laborintensive manual work standalone AI accurate fully trusted situations, says Kim, dropped Ph.D. program focus Superb AI. Forbes Asia Superb AI uses deep learning AI label analyze images videos 10 times faster manual processes can, Kim says. About 30 companies use Superb AIs platform, small businesses Samsung, LG, Qualcomm Pokmon Go maker Niantic. Now Kim looking expand North America enter Europe. We believe AI widely adopted commodity industries truly empower humans, says Kim. And happen. According McKinsey Company report, half 2,135 business leaders surveyed 2018 sectors said companies deployed AIbased business. Another McKinsey report 2018 estimates AI add 13 trillion 2030 current global economic output. Hong Kongbased Gerardo Salandra business leaders contributing AIdriven economic growth. Salandra cofounder CEO Rocketbots, AIpowered chat automation platform customer engagement. The AI element allows Rocketbots learn messages 15 languages, including English, Spanish Chinese, suggest response speed conversations customers. According Rocketbots, 10,000 companies use platform, including Accenture, AXA PricewaterhouseCoopers. Salandra president Artificial Intelligence Society Hong Kong, association 4,000 members dedicated development AI adoption technology. Transforming Industries One industries AI playing big tangible role driving transformation finance. Last year, financialservices firms invested estimated 5.6 billion AI, according research firm IDC, second retail industry, estimated spent 5.9 billion. Founded Ashish Airon, CogniTensor example AI utilized finance. The startup uses AI mainly predict prices commodities energy. CogniTensor working Indias largest power trader, stateowned Power Trading Corp., help power procurement strategies. In commodities, started predicting prices aluminum. Airon member WHO ITU Focus Group working standardizing AI health solutions. Ashish Airon, cofounder CogniTensor. Supplied photo AI technology improve business operations, sustainable development. 30 Under 30 Asia list honorees Ayushi Mishra Utkarsh Singh that. The duo cofounded DronaMaps, startup operating AIpowered platform creates analyzes 3D maps develop cities, villages neighborhoods pipeline planning, precision agriculture flood mitigation, others. Since launch 2016, mapped 600 square kilometers states India. DronaMaps worked governments, universities companies, including Reliance Industries, SAP Johns Hopkins University. The advantages draw dense dataset simply overwhelming, says Singh, CEO DronaMaps. Its truly time able completely capture world directly computing systems updating realtime decisions carried out. AI increasingly protect governments cybersecurity threats. The U.S., example, China leaders AI, unveiled plans month increase federal funding AI research Defense Department 50 million 249 million. In South Korean capital, Seoul, Eunhee Jenny An founded WhiteScan, develops practical applications AI. One product SecurityRanker, AIenhanced platform structure hacking patterns, South Korean government agencies strengthen cyber security capabilities. Last year, WhiteScan received Service Excellence Award Korea Intelligent Information System Society. An says clients WhiteScan include Koreas Ministry National Defense, Republic Korea Army, Korea Information Technology Research Institute National Security Research Institute. Additional reporting Jihyun Park. Follow onTwitterorLinkedIn.Send securetip.John KangIm assistant editor based Hong Kong, writing editing stories Asias billionaires businesses. Previously, I reporter covering law firms atRead MoreIm assistant editor based Hong Kong, writing editing stories Asias billionaires businesses. Previously, I reporter covering law firms Thomson Reuters. You email jkang[at] follow Twitter Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices
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https://www.businesswire.com/news/home/20200917005563/en/Immervision-Introduces-JOYCE-the-First-Humanoid-Robot-with-Intelligent-Vision-Developed-by-the-Computer-Vision-Community/?feedref=1-6SMMw3HgudSqfciOInFAT1albrG1Eq4mAeVP392109CPVbsZzkxB2zncMjZ7S5evRMp3sIgu8q3wq1OF24lT93qbEzrwa15HGbLqMObxahCRHqO6sXub3Hylc4qv6iOhC8fNUMDBuoZ8W8sD2diw==
2020-09-22T00:00:00
en
Immervision Introduces JOYCE, the First Humanoid Robot with Intelligent Vision Developed by the Computer Vision Community | Business Wire
Immervision Introduces JOYCE, the First Humanoid Robot with Intelligent Vision Developed by the Computer Vision Community | Business Wire Immervision Introduces JOYCE, the First Humanoid Robot with Intelligent Vision Developed by the Computer Vision Community Download MPEG-4 Video Loading media player... Immervision introduces JOYCE, the world’s first humanoid robot developed by the computer vision community. Immervision introduces JOYCE, the world’s first humanoid robot developed by the computer vision community. MPEG-4 Video (Graphic: Business Wire) Full Size Small Preview Thumbnail September 17, 2020 09:36 AM Eastern Daylight Time MONTREAL--(BUSINESS WIRE)--Immervision, the Montreal-based leader in wide-angle intelligent vision, introduces JOYCE, the first humanoid robot developed by the computer vision community to help machines gain human-like perception and beyond. Watch the video: https://vimeo.com/458617443 The purpose of JOYCE is to further advance computer vision technologies by inviting the community to help JOYCE gain a better understanding of her environment by upgrading her optics, sensors and AI algorithms. To support the realization of this complex task, Immervision is also unveiling the JOYCE Development Kit for engineers and AI developers. This “JOYCE IN A BOX” development kit is equipped with three ultra-wide-angle panomorph cameras calibrated to give 2D hemispheric, 3D stereoscopic hemispheric or full 360 x 360 spherical capture and viewing of the environment. It uses data-In-picture technology so that each of her video frames can be enriched with data from a wide array of sensors providing contextual information to AI and neural networks, computer vision and SLAM algorithms to help increase her visual perception. Moreover, JOYCE will be streaming live so that people can, not only follow the evolution of her capabilities, but also look through her eyes while she travels around the world, skydives, visits a business conference or a computer vision lab. JOYCE stems from the Immervision InnovationLab which mission is to accelerate the emergence of new innovative solutions and help build the next generation of intelligent vision systems for a wide range of industry devices. “At Immervision, we strongly believe in the value of bringing together the computer vision community to break down the silos that are slowing the innovation cycle. Instead, let’s push forward the boundaries of machine perception through cross-pollination. We believe that JOYCE will help develop extremely innovative solutions to resolve complex industry challenges,” said Pascale Nini, President and CEO of Immervision. Potential use cases include: Enhance the performance of smart home devices such as vacuum cleaners, lighting systems and home appliances. Improve optics technologies to ensure driver safety in assisted driving and autonomous cars. Improve fire fighters ability to detect people and objects over trees and see through smoke. Improve medical diagnostics to better identify cancer tumors or other conditions on a CT scan. Help identify early signs of crop diseases, and many more. To follow JOYCE’s progress and collaboration within the community, visit her at JOYCE.VISION and follow her on her social channels. About Immervision Immervision enables intelligent vision in any device. Our Deep Seeing technology and renowned experts in wide-angle optical design and image processing enable smart devices with superhuman eyes to capture high quality visual and contextual data. We invent, customise and license wide-angle lenses and imaging software technology for AI, machine vision and user applications, from capture to display, in the mobile, automotive, robotics, security, and other industrial and consumer product industries. www.immervision.com Contacts Immervision Manuel Magini Director, Marketing and Communications C: +1 (514) 294-5526 [email protected] US Press Nicole Conley [email protected] Canada Press Megan Ip C: +1 (514) 463-8231 [email protected] Contacts Immervision Manuel Magini Director, Marketing and Communications C: +1 (514) 294-5526 [email protected] US Press Nicole Conley [email protected] Canada Press Megan Ip C: +1 (514) 463-8231 [email protected] Site Navigation Home Home Submit a Press Release Services News All News News with Multimedia News by Industry News by Subject News by Language Tradeshows & Events Education Overview Blog Distribution & Media Media & Journalist Tools Sample Press Release Find Your News Online Disclosure Resources About Us Overview Become a Member Contact Us Careers Business Wire Newsroom Business Wire Events Search Advanced News Search Advanced News Search Log In Sign Up Follow Us Twitter LinkedIn More from Business Wire Blog UK/Ireland Deutschland France Hong Kong Italy Japan Tradeshownews.com Business Wire Information Contact Us UK Tax Strategy Privacy Manage Cookies Terms of Use © 2020 Business Wire, Inc.
Immervision Introduces JOYCE, the First Humanoid Robot with Intelligent Vision Developed by the Computer Vision Community
Immervision Introduces JOYCE, First Humanoid Robot Intelligent Vision Developed Computer Vision Community Business Wire Immervision Introduces JOYCE, First Humanoid Robot Intelligent Vision Developed Computer Vision Community Download MPEG4 Video Loading media player... Immervision introduces JOYCE, worlds humanoid robot developed vision community. Immervision introduces JOYCE, worlds humanoid robot developed vision community. MPEG4 Video Graphic: Business Wire Full Size Small Preview Thumbnail September 17, 2020 09:36 AM Eastern Daylight Time MONTREALBUSINESS WIREImmervision, Montrealbased leader wideangle intelligent vision, introduces JOYCE, humanoid robot developed vision community help machines gain humanlike perception beyond. Watch video: The purpose JOYCE advance vision technologies inviting community help JOYCE gain better understanding environment upgrading optics, sensors AI algorithms. To support realization complex task, Immervision unveiling JOYCE Development Kit engineers AI developers. This JOYCE IN A BOX development kit equipped ultrawideangle panomorph cameras calibrated 2D hemispheric, 3D stereoscopic hemispheric 360 x 360 spherical capture viewing environment. It uses dataInpicture technology video frames enriched data wide array sensors providing contextual information AI neural networks, vision SLAM algorithms help increase visual perception. Moreover, JOYCE streaming live people can, follow evolution capabilities, look eyes travels world, skydives, visits business conference vision lab. JOYCE stems Immervision InnovationLab mission accelerate emergence new innovative solutions help build generation intelligent vision systems wide range industry devices. At Immervision, strongly believe value bringing vision community break silos slowing innovation cycle. Instead, lets push forward boundaries machine perception crosspollination. We believe JOYCE help develop extremely innovative solutions resolve complex industry challenges, said Pascale Nini, President CEO Immervision. Potential use cases include: Enhance performance smart home devices vacuum cleaners, lighting systems home appliances. Improve optics technologies ensure driver safety assisted driving autonomous cars. Improve fighters ability detect people objects trees smoke. Improve medical diagnostics better identify cancer tumors conditions CT scan. Help identify early signs crop diseases, more. To follow JOYCEs progress collaboration community, visit JOYCE.VISION follow social channels. About Immervision Immervision enables intelligent vision device. Our Deep Seeing technology renowned experts wideangle optical design image processing enable smart devices superhuman eyes capture high quality visual contextual data. We invent, customise license wideangle lenses imaging software technology AI, machine vision user applications, capture display, mobile, automotive, robotics, security, industrial consumer product industries. Immervision Manuel Magini Director, Marketing Communications C: 1 514 2945526 manuel.magini US Press Nicole Conley Nicole.conley Canada Press Megan Ip C: 1 514 4638231 megan Immervision Manuel Magini Director, Marketing Communications C: 1 514 2945526 manuel.magini US Press Nicole Conley Nicole.conley Canada Press Megan Ip C: 1 514 4638231 megan Site Navigation Home Home Submit Press Release Services News All News News Multimedia News Industry News Subject News Language Tradeshows Events Education Overview Blog Distribution Media Media Journalist Tools Sample Press Release Find Your News Online Disclosure Resources Overview Become Member Us Careers Business Wire Newsroom Business Wire Events Advanced News Advanced News Log In Sign Up Twitter LinkedIn More Business Wire Blog UKIreland Deutschland France Hong Kong Italy Japan Business Wire Information Us UK Tax Strategy Privacy Manage Terms Use 2020 Business Wire, .
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https://bulletinline.com/2020/08/29/ai-in-computer-vision-market-is-thriving-worldwide-by-2027-top-players-nvidia-corporation-qualcomm-technologies-inc-teledyne-technologies-inc-xilinx-and-more/
2020-08-29T00:00:00
en
AI in Computer Vision Market is Thriving Worldwide by 2027, Top Players – NVIDIA Corporation, Qualcomm Technologies, Inc., Teledyne Technologies, Inc., Xilinx and More – Bulletin Line
AI in Computer Vision Market is Thriving Worldwide by 2027, Top Players – NVIDIA Corporation, Qualcomm Technologies, Inc., Teledyne Technologies, Inc., Xilinx and More – Bulletin Line Bulletin Line Market Research Reports Home COVID-19 Industry Impact Latest Market Reports Market Price Analysis Market Study Contact Us Home2020August29AI in Computer Vision Market is Thriving Worldwide by 2027, Top Players – NVIDIA Corporation, Qualcomm Technologies, Inc., Teledyne Technologies, Inc., Xilinx and More AI in Computer Vision Market is Thriving Worldwide by 2027, Top Players – NVIDIA Corporation, Qualcomm Technologies, Inc., Teledyne Technologies, Inc., Xilinx and More Posted On: August 29, 2020 Posted By: mayur Comments: 0 The Insight Partners analysts forecasts the latest report on “Global AI in Computer Vision Market (Covid-19) Impact and Analysis by 2027”, according to report; The AI in Computer Vision Market report covers the overall and all-inclusive analysis of Market with all its factors that have an impact on market growth. This report is anchored on the thorough qualitative and quantitative assessment of the AI in Computer Vision Market. The study provides details such as the market share, Market Insights, Strategic Insights, Segmentation and key players in the AI in Computer Vision Market. Get Sample Report of AI in Computer Vision Market Report @ https://www.theinsightpartners.com/sample/TIPRE00011691  (*If you have any special requirements, please let us know and we will offer you the report as you want.) Note – The Covid-19 (coronavirus) pandemic is impacting society and the overall economy across the world. The impact of this pandemic is growing day by day as well as affecting the supply chain. The COVID-19 crisis is creating uncertainty in the stock market, massive slowing of supply chain, falling business confidence, and increasing panic among the customer segments. The overall effect of the pandemic is impacting the production process of several industries. This report on ‘AI in Computer Vision Market’ provides the analysis on impact on Covid-19 on various business segments and country markets. The reports also showcase market trends and forecast to 2027, factoring the impact of Covid -19 Situation. Our Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology The reports cover key developments in the AI in Computer Vision Market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. Some of the Major Market Players Are:  Allied Vision Technologies GmbH  Basler AG  Cognex Corporation  General Electric  Intel Corporation  Microsoft Corporation  NVIDIA Corporation  Qualcomm Technologies, Inc.  Teledyne Technologies, Inc.  Xilinx The report analyses factors affecting the AI in Computer Vision Market from further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the AI in Computer Vision Market in these regions. Moreover, the report entails the estimate and analysis for the AI in Computer Vision Market on a global as well as regional level. The study provides historical data as well as the trending features and future predictions of the market growth. Further, the report encompasses drivers and restraints for the AI in Computer Vision Market growth along with its impact on the overall market development. In addition, the report provides an analysis of the accessible avenues in the market on a global level. REGIONAL FRAMEWORK The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global AI in Computer Vision Market based on various segments. It also provides market size and forecast estimates from the year 2018 to 2027 with respect to five major regions. The AI in Computer Vision Market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region. Promising Regions & Countries Mentioned in The AI in Computer Vision Market Report: North America Europe Asia-Pacific Latin America The Middle East & Africa The Insight Partner’s dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study. Purchase a copy of AI in Computer Vision Market research report @  https://www.theinsightpartners.com/buy/TIPRE00011691  Major Features of AI in Computer Vision Market Report: Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global AI in Computer Vision 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 global AI in Computer Vision market, thereby allowing players across the value chain 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 client products, segmentation, pricing and distribution. About Us – The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. Contact us – Phone : +1-646-491-9876 Email Id :[email protected] Website: https://www.theinsightpartners.com AI in Computer Vision MarketAI in Computer Vision Market AnalysisAI in Computer Vision Market ForecastAI in Computer Vision Market GrowthAI in Computer Vision Market OutlookAI in Computer Vision Market SizeAI In Computer Vision Market StatusAI in Computer Vision Market Trends Post navigation Prev PostNext Post Search News About usHome Contact Us Know About Us Our Staff PoliciesPrivacy Policy Editorial Policy Use of Cookies Bulletin Line by Everestthemes
AI in Computer Vision Market is Thriving Worldwide by 2027, Top Players
AI Computer Vision Market Thriving Worldwide 2027, Top Players NVIDIA Corporation,Qualcomm Technologies, .,Teledyne Technologies, .,Xilinx More Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020August29AI Computer Vision Market Thriving Worldwide 2027, Top Players NVIDIA Corporation,Qualcomm Technologies, .,Teledyne Technologies, .,Xilinx More AI Computer Vision Market Thriving Worldwide 2027, Top Players NVIDIA Corporation,Qualcomm Technologies, .,Teledyne Technologies, .,Xilinx More Posted On: August 29, 2020 Posted By: mayur Comments: 0 The Insight Partnersanalysts forecasts latest report onGlobalAI Computer Vision MarketCovid19 Impact Analysis 2027, according report; The AI Computer Vision Market report covers overall allinclusive analysis Market factors impact market growth. This report anchored thorough qualitative quantitative assessment AI Computer Vision Market. The study provides details market share, Market Insights, Strategic Insights, Segmentation key playersin AI Computer Vision Market. Get Sample Report AI Computer Vision Market Report @ If special requirements, let know offer report want. Note The Covid19 coronavirus pandemic impacting society overall economy world. The impact pandemic growing day day affecting supply chain. The COVID19 crisis creating uncertainty stock market, massive slowing supply chain, falling business confidence, increasing panic customer segments. The overall effect pandemic impacting production process industries. This report AI Computer Vision Market provides analysis impact Covid19 business segments country markets. The reports showcase market trends forecast 2027, factoring impact Covid 19 Situation. Our Sample Report Accommodate Brief Introduction research report, TOC, List Tables Figures, Competitive Landscape Geographic Segmentation, Innovation Future Developments Based Research Methodology The reports cover key developments AI Computer Vision Market organic inorganic growth strategies. Various companies focusing organic growth strategies product launches, product approvals patents events. Inorganic growth strategies activities witnessed market acquisitions, partnership collaborations. These activities paved way expansion business customer base market players. Some Major Market Players Are: Allied Vision Technologies GmbH Basler AG Cognex Corporation General Electric Intel Corporation Microsoft Corporation NVIDIA Corporation Qualcomm Technologies, . Teledyne Technologies, . Xilinx The report analyses factors affecting AI Computer Vision Market evaluates market dynamics affecting market forecast period i.e., drivers, restraints, opportunities, future trend. The report provides exhaustive PEST analysis regions namely; North America, Europe, APAC, MEA, South America evaluating political, economic, social technological factors affecting AI Computer Vision Market regions. Moreover, report entails estimate analysis AI Computer Vision Market global regional level. The study provides historical data trending features future predictions market growth. Further, report encompasses drivers restraints AI Computer Vision Market growth impact overall market development. In addition, report provides analysis accessible avenues market global level. REGIONAL FRAMEWORK The report provides detailed overview industry including qualitative quantitative information. It provides overview forecast global AI Computer Vision Market based segments. It provides market size forecast estimates year 2018 2027 respect major regions. The AI Computer Vision Market region later subsegmented respective countries segments. The report covers analysis forecast 18 countries globally current trend opportunities prevailing region. Promising Regions Countries Mentioned The AI Computer Vision Market Report: North America Europe AsiaPacific Latin America The Middle East Africa The Insight Partners dedicated research analysis team consist experienced professionals advanced statistical expertise offer customization options existing study. Purchase copy ofAI Computer Vision Market research report @ Major Features AI Computer Vision Market Report: Save reduce time carrying entrylevel research identifying growth, size, leading players segments global AI Computer Vision market. Highlights key business priorities order assist companies realign business strategies. The key findings recommendations highlight crucial progressive industry trends global AI Computer Vision market, allowing players value chain develop effective longterm strategies. Developmodify business expansion plans substantial growth offering developed emerging markets. Scrutinize indepth global market trends outlook coupled factors driving market, hindering it. Enhance decisionmaking process understanding strategies underpin commercial respect client products, segmentation, pricing distribution. The Insight Partners stop industry research provider actionable intelligence. We help clients getting solutions research requirements syndicated consulting research services. Phone : 16464919876 Email Id :[emailprotected] Website: AI Computer Vision MarketAI Computer Vision Market AnalysisAI Computer Vision Market ForecastAI Computer Vision Market GrowthAI Computer Vision Market OutlookAI Computer Vision Market SizeAI In Computer Vision Market StatusAI Computer Vision Market Trends Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes
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1
POSITIVE
310
https://www.localsyr.com/news/national/microsoft-cuts-msn-news-staffers-in-move-toward-ai-editors/
2020-07-16T00:00:00
en
Microsoft cuts MSN news staffers in move toward AI editors | WSYR
Microsoft cuts MSN news staffers in move toward AI editors | WSYR Skip to content WSYR Syracuse 77° Sponsored By Toggle Menu Open Navigation Close Navigation Search Primary Menu Local News Watch Now Your Stories Only on LocalSYR.com Coronavirus Destination NY Reimagining New York Consumer Reports Newsmakers OntheLookout.Net National News Made in CNY Your Local Election HQ Washington DC Money In Your Pocket NY Capitol News Border Report Tour Entertainment Newsfeed Now Weather Storm Team Academy Live Doppler 9 7-Day Forecast Timecast — Hour by Hour Maps Storm Team Headlines Regional Forecast Marine Forecast Interactive Radar Northeast Radar Weather Alerts SkyNET9 Summer Outlook Sports Highlights from Home Orange Nation High School Sports Friday Night Fever Athlete of the Week Buffalo Bills NY Blitz Game of the Week Syracuse Mets Syracuse Crunch Japan 2020 Chase for the Championship Masters Report NFL Draft Closings Bridge Street Organization Motivation Recipes Community CNY Stronger Together Picture of the Day The Daily Pledge Champions Tell Me Something Good Family Healthcast What’s Going Around Petsavers Extraordinary The Conversation Sunday Mass Flu Fighters Resources Cool Schools Calendar NewsChannel 9 Activity Book Marketplace Contact NewsChannel 9 Advertise with NewsChannel 9 Meet the Team Work for Us A Healthier CNY TV Schedule NewsChannel 9 Store The Mel Robbins Show Internships at NewsChannel 9 Alexa Virtual Home Show 2020 Ask the Expert Network Tax Resources Joe Knows Games Lottery Horoscope Do Not Sell My Personal Information Contests Contest Winners Search Search Search Microsoft cuts MSN news staffers in move toward AI editors National News Posted: Jul 15, 2020 / 02:03 PM EDT / Updated: Jul 15, 2020 / 02:03 PM EDT SEATTLE (AP) — Microsoft cut dozens of full-time staffers from its MSN news service, continuing an initiative to move away from human editors in favor of artificial intelligence. The change comes six weeks after the technology giant told about 50 news production contractors their tenures at MSN would not last beyond June 30. A Microsoft spokesperson told The Seattle Times the company eliminated “a small number” of roles Monday across various departments, including MSN, but would not provide specific numbers. Since 2014, MSN has whittled down its original news-gathering operation, instead partnering with other news sites and paying them to redistribute their content. The Guardian reported that the company’s AI software in early June confused two mixed-race singers from the British band Little Mix. MSN mistakenly used a photograph of Leigh-Anne Pinnock for a story about fellow band-member Jade Thirlwall and her personal reflections on racism. Thirlwall quickly voiced her displeasure on Instagram. “@MSN If you’re going to copy and paste articles from other accurate media outlets, you might want to make sure you’re using an image of the correct mixed race member of the group,” she wrote, adding: “It offends me that you couldn’t differentiate the two women of colour out of four members of a group … DO BETTER!” Copyright 2020 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed. Share this story More National News Stories Hawley seeks civil rights probe in case of St. Louis couple by JIM SALTER, Associated Press / Jul 16, 2020 O'FALLON, Mo. (AP) — U.S. Sen. Josh Hawley on Thursday urged Attorney General William Barr to launch a federal civil rights investigation of St. Louis' elected prosecutor, accusing Circuit Attorney Kim Gardner of abusing her power in her investigation of a white couple who wielded guns while defending their home during a protest. Mark and Patricia McCloskey are under Gardner's scrutiny for the June 28 confrontation when several hundred protesters marched by their $1.15 million mansion. The couple accused protesters of knocking down an iron gate marked with “No Trespassing” and “Private Street” signs. Read the Full Article Iowa drug kingpin who killed 5 people in 1993 to be executed by RYAN J. FOLEY, Associated Press / Jul 16, 2020 IOWA CITY, Iowa (AP) — A ruthless Iowa meth kingpin who killed five people, including two young girls, in 1993 to thwart his prosecution for drug trafficking is set to become the third federal inmate to be executed this week. Dustin Honken, 52, would become the first Iowa defendant to to be put to death since 1963 if he is executed as scheduled on Friday. Iowa abolished the death penalty in 1965, but federal prosecutors sought to execute Honken for killing government informants and children. Read the Full Article Spacecraft snaps closest pictures of sun, ‘campfires’ abound by MARCIA DUNN, Associated Press / Jul 16, 2020 CAPE CANAVERAL, Fla. (AP) — A European and NASA spacecraft has snapped the closest pictures ever taken of the sun, revealing countless little “campfires” flaring everywhere. Scientists on Thursday released the first images taken by Solar Orbiter, launched from Cape Canaveral in February. Read the Full Article Top Stories British nursing home recreates famous album covers using residents as models Video Rochester Mayor Warren issues emergency order, no large gatherings at night due to spike in recent gun violence Video Tournament of Roses Parade cancelled due to COVID-19 Video Trump administration rescinds rule on foreign students Oswego set for firework display Sunday night, Utica Street bridge will be closed to vehicles Live Doppler 9 Map Center CNY View Oswego Area Syracuse Area 3-Day Forecast Current 77° Broken Clouds Tonight 72° Scattered Thunderstorms Precip: 20% Tomorrow 88° Morning showers and thunderstorms Precip: 20% Stay Connected NewsChannel 9 iPhone AppNewsChannel 9 Android AppNewsChannel 9 on FacebookNewsChannel 9 on TwitterStorm Team Weather iPhone AppStorm Team Weather Android App Follow Us Facebook Twitter Email News App Weather App Weather Local News Closings and Delays Local Sports Bridge Street Community Contests WSYR EEO Report WSYR FCC Public File Nexstar CC Certification Privacy Policy Terms Of Use Covers Do Not Sell My Personal Information © 1998 - 2020 Nexstar Broadcasting, Inc. | All Rights Reserved. × Close Ad
Microsoft cuts MSN news staffers in move toward AI editors
Microsoft cuts MSN news staffers AI editors WSYR Skip content WSYR Syracuse 77 Sponsored By Toggle Menu Open Navigation Close Navigation Primary Menu Local News Watch Now Your Stories Only Coronavirus Destination NY Reimagining New York Consumer Reports Newsmakers OntheLookout.Net National News Made CNY Your Local Election HQ Washington DC Money In Your Pocket NY Capitol News Border Report Tour Entertainment Newsfeed Now Weather Storm Team Academy Live Doppler 9 7Day Forecast Timecast Hour Hour Maps Storm Team Headlines Regional Forecast Marine Forecast Interactive Radar Northeast Radar Weather Alerts SkyNET9 Summer Outlook Sports Highlights Home Orange Nation High School Sports Friday Night Fever Athlete Week Buffalo Bills NY Blitz Game Week Syracuse Mets Syracuse Crunch Japan 2020 Chase Championship Masters Report NFL Draft Closings Bridge Street Organization Motivation Recipes Community CNY Stronger Together Picture Day The Daily Pledge Champions Tell Me Something Good Family Healthcast Whats Going Around Petsavers Extraordinary The Conversation Sunday Mass Flu Fighters Resources Cool Schools Calendar NewsChannel 9 Activity Book Marketplace NewsChannel 9 Advertise NewsChannel 9 Meet Team Work Us A Healthier CNY TV Schedule NewsChannel 9 Store The Mel Robbins Show Internships NewsChannel 9 Alexa Virtual Home Show 2020 Ask Expert Network Tax Resources Joe Knows Games Lottery Horoscope Do Not Sell My Personal Information Contests Contest Winners Microsoft cuts MSN news staffers AI editors National News Posted: Jul 15, 2020 02:03 PM EDT Updated: Jul 15, 2020 02:03 PM EDT SEATTLE AP Microsoft cut dozens fulltime staffers MSN news service, continuing initiative away human editors favor artificial intelligence. The change comes weeks technology giant told 50 news production contractors tenures MSN June 30. A Microsoft spokesperson told The Seattle Times company eliminated small number roles Monday departments, including MSN, provide specific numbers. Since 2014, MSN whittled original newsgathering operation, instead partnering news sites paying redistribute content. The Guardian reported companys AI software early June confused mixedrace singers British band Little Mix. MSN mistakenly photograph LeighAnne Pinnock story fellow bandmember Jade Thirlwall personal reflections racism. Thirlwall quickly voiced displeasure Instagram. If youre going copy paste articles accurate media outlets, want sure youre image correct mixed race member group, wrote, adding: It offends differentiate women colour members group DO BETTER 2020 The Associated Press. . This material published, broadcast, rewritten redistributed. Share story More National News Stories Hawley seeks civil rights probe case St. Louis couple JIM SALTER, Associated Press Jul 16, 2020 OFALLON, Mo. AP U.S. Sen. Josh Hawley Thursday urged Attorney General William Barr launch federal civil rights investigation St. Louis elected prosecutor, accusing Circuit Attorney Kim Gardner abusing power investigation white couple wielded guns defending home protest. Mark Patricia McCloskey Gardners scrutiny June 28 confrontation protesters marched 1.15 million mansion. The couple accused protesters knocking iron gate marked No Trespassing Private Street signs. Read Full Article Iowa drug kingpin killed 5 people 1993 executed RYAN J. FOLEY, Associated Press Jul 16, 2020 IOWA CITY, Iowa AP A ruthless Iowa meth kingpin killed people, including young girls, 1993 thwart prosecution drug trafficking set federal inmate executed week. Dustin Honken, 52, Iowa defendant death 1963 executed scheduled Friday. Iowa abolished death penalty 1965, federal prosecutors sought execute Honken killing government informants children. Read Full Article Spacecraft snaps closest pictures sun, campfires abound MARCIA DUNN, Associated Press Jul 16, 2020 CAPE CANAVERAL, Fla. AP A European NASA spacecraft snapped closest pictures taken sun, revealing countless little campfires flaring everywhere. Scientists Thursday released images taken Solar Orbiter, launched Cape Canaveral February. Read Full Article Top Stories British nursing home recreates famous album covers residents models Video Rochester Mayor Warren issues emergency order, large gatherings night spike recent gun violence Video Tournament Roses Parade cancelled COVID19 Video Trump administration rescinds rule foreign students Oswego set firework display Sunday night, Utica Street bridge closed vehicles Live Doppler 9 Map Center CNY View Oswego Area Syracuse Area 3Day Forecast Current 77 Broken Clouds Tonight 72 Scattered Thunderstorms Precip: 20percnt; Tomorrow 88 Morning showers thunderstorms Precip: 20percnt; Stay Connected NewsChannel 9 iPhone AppNewsChannel 9 Android AppNewsChannel 9 FacebookNewsChannel 9 TwitterStorm Team Weather iPhone AppStorm Team Weather Android App Facebook Twitter Email News App Weather App Weather Local News Closings Delays Local Sports Bridge Street Community Contests WSYR EEO Report WSYR FCC Public File Nexstar CC Certification Terms Of Use Covers Do Not Sell My Personal Information 1998 2020 Nexstar Broadcasting, . . 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1
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311
https://venturebeat.com/2020/12/19/how-to-create-space-for-ethics-in-ai/
2020-12-19T00:00:00
en
How to create space for ethics in AI | VentureBeat
How to create space for ethics in AI | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Special Issue Account Settings Log Out Become a Member Sign In VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow us on Twitter follow us on Facebook follow us on LinkedIn Follow us on RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow us on RSS GamesBeat Games Esports PC Gaming Follow follow us on Twitter Follow us on RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Guest How to create space for ethics in AI Carly Kind December 19, 2020 8:45 AM AI Share on Facebook Share on Twitter Share on LinkedIn Image Credit: John M Lund Photography Inc/Getty Images In a year that has seen decades’ worth of global shocks, bad news, and scandals squeezed into 12 excruciatingly long months, the summer already feels like a distant memory. In August 2020, the world was in the throes of a major social and racial justice movement, and I argued hopefully in VentureBeat that the term “ethical AI” was finally starting to mean something. It was not the observation of a disinterested observer but an optimistic vision for coalescing the ethical AI community around notions of power, justice, and structural change. Yet in the intervening months it has proven to be, at best, an overly simplistic vision, and at worst, a naive one. The piece critiqued “second wave” ethical AI as being preoccupied with technical fixes to problems of bias and fairness in machine learning. It observed that focusing on technical interventions to address ethical harms skewed the conversation away from issues of structural injustice and permitted the “co-option of socially conscious computer scientists” by big tech companies. I realize now that this argument minimised the contribution of ethical AI researchers – scientists and researchers inside of tech companies, and their collaborators – to the broader justice and ethics agenda. I saw only co-option and failed to highlight the critical internal pushback and challenges to entrenched power structures that ethical AI researchers propagate, and the potential their radical research has to change the shape of technologies. Ethics researchers contribute to this movement just by showing up to work every day, taking part in the everyday practice of making technology and championing a “move slow and fix things” agenda against a tide of productivity metrics and growth KPIs. Many of these researchers are taking a principled stand as members of minoritized groups. I was arguing that a focus on technical accuracy narrows the discourse on ethics in AI. What I didn’t recognize was that such research can itself undermine the technological orthodoxy that is at the root of unethical development of tech and AI. Google’s decision to fire Dr. Timnit Gebru is clear confirmation that ethical tech researchers represent a serious challenge to the companies where they work. Dr. Gebru is a respected Black computer scientist whose most prominent work has championed technically-targeted interventions to ethical harms. Her contract termination by Google has been the subject of much commentary and debate. It reflects an important point: that it doesn’t matter if “ethical AI” is starting to mean something to those of us working to improve how tech impacts society; it only matters if it means something to the most powerful companies in the world. For that reason, Google’s decision to unceremoniously fire an expert, vocal, high-profile employee opens up a critical faultline in the ethical AI agenda and exposes the underbelly of big tech. An ethical agenda holds that moral principles of right and wrong should shape the development of advanced technologies, even as those technologies are too embryonic, amorphous, or mercurial for existing regulatory frameworks to grasp or restrain at speed. “Ethical AI” aims to plug the gaps with a range of tools – analysis grounded in moral philosophy, critical theory and social science; principles, frameworks and guidelines; risk and impact assessments, bias audits and external scrutiny. It is not positioned as a substitute for law and regulation but as a placeholder for it or a complement to it. Thinking about the ethical issues AI raises should help us identify where regulation is needed, which research should not be pursued, and whether the benefits of technology accrue equitably and sustainably. But in order for it to work, it has to happen in the places where AI research and tech development is happening. In research institutes, at universities, and especially in tech companies. Small companies building autonomous vehicles, medium-sized AI research labs, and tech giants building the dominant commerce and communication platforms all need to recognize, internalize, and provide space for thinking about ethics in order for it to make a difference. They must make principles of equity and diversity foundational, by embracing perspectives, voices, and approaches from across society, particularly racial and gender diversity. Most importantly, they must give such work the weight it deserves by setting up ethics review processes with teeth, sanctioned and supported by senior leadership. Until now, many companies have talked the talk. Google, Facebook, and DeepMind have all established ethics officers or ethics teams within their AI research departments. Ethics have become more explicitly part of the remit of chief compliance officers and trust and safety departments at many tech companies. Rhetorical commitments to ethics have become mainstream on tech podcasts and at tech conferences. Outside of corporate structures, the AI research community has confronted head on its own responsibility to ensure ethical AI development. Most notably, this year the leading AI conference, NeurIPS, required researchers submitting papers to account for the societal impact of their work as well as any financial conflict of interest. And yet, as a recent survey of 24 ethical AI practitioners demonstrates, even when companies appoint dedicated ethical AI researchers and practitioners, they are consistently failing to create the space and conditions for them to do their work. Interviewees in the survey “reported being measured on productivity and contributions to revenue, with little value placed on preventing reputational or compliance harm and mitigating risk,” let alone ensuring societal benefit. The survey reveals that corporate actors are unable to operationalize the long-term benefits of ethical AI development when it comes at the expense of short-term profit metrics. The survey reveals that ethical AI practitioners face a risk of retribution or harm for reporting ethical concerns. Some ethics teams report being firewalled from certain projects that deserved their attention or being siloed into addressing narrow parts of much broader problems. Retributive action in the form of retrenchment is more than a theoretical peril for ethical AI researchers, as Dr. Gebru’s firing demonstrates: Google fired her after she critiqued the harms and risks of large language models. If one of the world’s most profitable, influential, and scrutinized companies can’t make space for ethical critique within its ranks, is there any hope for advancing truly ethical AI? Not unless the structural conditions that underpin AI research and development fundamentally change. And that change begins when we no longer allow a handful of tech companies to maintain complete dominance of the raw materials of AI research: data. Monopolistic strangleholds in the digital realm disincentivise ethical AI research. They allow a few powerful players to advance AI research that expands their own power and reach, edging out new entrants to the market that might compete. To the extent that consumers will view ethical AI as more trustworthy, reliable, and societally legitimate, its adoption could be a byproduct of a more competitive market. But in an environment of restrained consumer choices and concentrated power, there are few business incentives to develop products designed to attract public trust and confidence. For that reason, in 2021 the most important instruments of ethical AI will be tech regulation and competition reform. The writing is already on the wall – multiple antitrust lawsuits are now pending against the largest platforms in the United States, and this week the European Commission announced a package of reforms that will fundamentally reshape platforms and the power they wield, just as the UK government signaled its own intention to bring regulatory reform to impose a “duty of care” on platforms with regards to online harms. Such reforms should critically correct the landscape of tech and AI development, permitting alternative avenues of innovation, stimulating new business models, clearing away the homogeneity of the digital ecosystem. However, they will not be a panacea. Big tech’s influence on academic research will not dissipate with competition reform. And while there is likely to be a protracted fight over regulating a handful of key actors, thousands of small and medium tech enterprises must urgently confront the ethical questions AI research provokes with respect to human agency and autonomy; fairness and justice; and labour, wellbeing and the planet. To create space for ethical research now — both inside and outside the tech sector — we cannot wait for big tech regulation. We must better understand the culture of technology companies, push for whistleblower protections for ethics researchers, help to upskill regulators, develop documentation and transparency requirements, and run audits and regulatory inspections. And there must be an industry-wide reckoning when it comes to addressing systemic racism and extractive labor practices. Only then will people building technologies be empowered to orient their work towards social good. Carly Kind is a human rights lawyer, a privacy and data protection expert, and Director of the Ada Lovelace Institute. VentureBeat Homepage The Machine Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. All rights reserved.
How to create space for ethics in AI
How create space ethics AI VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Account Settings Log Out Become Member VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Guest How create space ethics AI Carly Kind December 19, 2020 8:45 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: John M Lund Photography Getty Images In year seen decades worth global shocks, bad news, scandals squeezed 12 excruciatingly long months, summer feels like distant memory. In August 2020, world throes major social racial justice movement, I argued hopefully VentureBeat term ethical AI finally starting mean something. It observation disinterested observer optimistic vision coalescing ethical AI community notions power, justice, structural change. Yet intervening months proven be, best, overly simplistic vision, worst, naive one. The piece critiqued second wave ethical AI preoccupied technical fixes problems bias fairness machine learning. It observed focusing technical interventions address ethical harms skewed conversation away issues structural injustice permitted cooption socially conscious scientists big tech companies. I realize argument minimised contribution ethical AI researchers scientists researchers inside tech companies, collaborators broader justice ethics agenda. I saw cooption failed highlight critical internal pushback challenges entrenched power structures ethical AI researchers propagate, potential radical research change shape technologies. Ethics researchers contribute movement showing work day, taking everyday practice making technology championing slow fix things agenda tide productivity metrics growth KPIs. Many researchers taking principled stand members minoritized groups. I arguing focus technical accuracy narrows discourse ethics AI. What I didnt recognize research undermine technological orthodoxy root unethical development tech AI. Googles decision Dr. Timnit Gebru clear confirmation ethical tech researchers represent challenge companies work. Dr. Gebru respected Black scientist prominent work championed technicallytargeted interventions ethical harms. Her contract termination Google subject commentary debate. It reflects important point: doesnt matter ethical AI starting mean working improve tech impacts society; matters means powerful companies world. For reason, Googles decision unceremoniously expert, vocal, highprofile employee opens critical faultline ethical AI agenda exposes underbelly big tech. An ethical agenda holds moral principles right wrong shape development advanced technologies, technologies embryonic, amorphous, mercurial existing regulatory frameworks grasp restrain speed. Ethical AI aims plug gaps range tools analysis grounded moral philosophy, critical theory social science; principles, frameworks guidelines; risk impact assessments, bias audits external scrutiny. It positioned substitute law regulation placeholder complement it. Thinking ethical issues AI raises help identify regulation needed, research pursued, benefits technology accrue equitably sustainably. But order work, happen places AI research tech development happening. In research institutes, universities, especially tech companies. Small companies building autonomous vehicles, mediumsized AI research labs, tech giants building dominant commerce communication platforms need recognize, internalize, provide space thinking ethics order difference. They principles equity diversity foundational, embracing perspectives, voices, approaches society, particularly racial gender diversity. Most importantly, work weight deserves setting ethics review processes teeth, sanctioned supported senior leadership. Until now, companies talked talk. Google, Facebook, DeepMind established ethics officers ethics teams AI research departments. Ethics explicitly remit chief compliance officers trust safety departments tech companies. Rhetorical commitments ethics mainstream tech podcasts tech conferences. Outside corporate structures, AI research community confronted head responsibility ensure ethical AI development. Most notably, year leading AI conference, NeurIPS, required researchers submitting papers account societal impact work financial conflict interest. And yet, recent survey 24 ethical AI practitioners demonstrates, companies appoint dedicated ethical AI researchers practitioners, consistently failing create space conditions work. Interviewees survey reported measured productivity contributions revenue, little value placed preventing reputational compliance harm mitigating risk, let ensuring societal benefit. The survey reveals corporate actors unable operationalize longterm benefits ethical AI development comes expense shortterm profit metrics. The survey reveals ethical AI practitioners face risk retribution harm reporting ethical concerns. Some ethics teams report firewalled certain projects deserved attention siloed addressing narrow parts broader problems. Retributive action form retrenchment theoretical peril ethical AI researchers, Dr. Gebrus firing demonstrates: Google fired critiqued harms risks large language models. If worlds profitable, influential, scrutinized companies space ethical critique ranks, hope advancing truly ethical AI? Not structural conditions underpin AI research development fundamentally change. And change begins longer allow handful tech companies maintain complete dominance raw materials AI research: data. Monopolistic strangleholds digital realm disincentivise ethical AI research. They allow powerful players advance AI research expands power reach, edging new entrants market compete. To extent consumers view ethical AI trustworthy, reliable, societally legitimate, adoption byproduct competitive market. But environment restrained consumer choices concentrated power, business incentives develop products designed attract public trust confidence. For reason, 2021 important instruments ethical AI tech regulation competition reform. The writing wall multiple antitrust lawsuits pending largest platforms United States, week European Commission announced package reforms fundamentally reshape platforms power wield, UK government signaled intention bring regulatory reform impose duty care platforms regards online harms. Such reforms critically correct landscape tech AI development, permitting alternative avenues innovation, stimulating new business models, clearing away homogeneity digital ecosystem. However, panacea. Big techs influence academic research dissipate competition reform. And likely protracted fight regulating handful key actors, thousands small medium tech enterprises urgently confront ethical questions AI research provokes respect human agency autonomy; fairness justice; labour, wellbeing planet. To create space ethical research inside outside tech sector wait big tech regulation. We better understand culture technology companies, push whistleblower protections ethics researchers, help upskill regulators, develop documentation transparency requirements, run audits regulatory inspections. And industrywide reckoning comes addressing systemic racism extractive labor practices. Only people building technologies empowered orient work social good. Carly Kind human rights lawyer, privacy data protection expert, Director Ada Lovelace Institute. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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2020-2026 Artificial Intelligence-Emotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal – Bandera County Courier
2020-2026 Artificial Intelligence-Emotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal – Bandera County Courier Friday, March 6 2020 Trending Global Automotive Glass Fiber Reinforced Polypropylene Market 2020 : Most profitable Segment and Factors Supporting Growth by BASF, Lanxess, DSM, SABIC, PolyOne, DuPont Global Grain Washing Machines Market Strategic Assessment & SWOT Analysis 2020 – 2024 | Agromech Engineers, Westrup, Moresil S.L Automotive Plastics Market Size and Share Analysis by Size & Share by 2027 Global Feed Binders Market Growth Overview and Forecast by 2026 | Archer Daniels Midland, CP Kelco, Danisco, Avebe, Beneo, Uniscope, Fmccorporation Smart Motors Market Size & Share Sees Big Growth by 2027 Dicamba Herbicide Market Share to Record Steady Growth by 2027 Diagnostic Electrocardiograph (ECG) Market Top Competitive Players & Industry Growth Drivers, 2027 Database Encryption Market Worldwide Key Industry Segments & Forecast, 2020-2027 Compound Semiconductor Market Size & Share Analysis in terms of value & volume by 2027 Composite Testing Market Global upcoming demand & growth analysis up to 2027 Contact Bandera County Courier Business Health Science Technology World Home/Business/2020-2026 Artificial Intelligence-Emotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal BusinessTechnology 2020-2026 Artificial Intelligence-Emotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal pratik March 6, 2020 The Global Artificial Intelligence-Emotion Recognition Market research report 2020-2026 is an elementary and professional detailing of the essential elements driving the Artificial Intelligence-Emotion Recognition market growth rate and the revenue statistic of the specific industry. 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2020-2026 Artificial Intelligence-Emotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal
20202026 Artificial IntelligenceEmotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal Bandera County Courier Friday, March 6 2020 Trending Global Automotive Glass Fiber Reinforced Polypropylene Market 2020 : Most profitable Segment Factors Supporting Growth BASF, Lanxess, DSM, SABIC, PolyOne, DuPont Global Grain Washing Machines Market Strategic Assessment SWOT Analysis 2020 2024 Agromech Engineers, Westrup, Moresil S.L Automotive Plastics Market Size Share Analysis Size Share 2027 Global Feed Binders Market Growth Overview Forecast 2026 Archer Daniels Midland, CP Kelco, Danisco, Avebe, Beneo, Uniscope, Fmccorporation Smart Motors Market Size Share Sees Big Growth 2027 Dicamba Herbicide Market Share Record Steady Growth 2027 Diagnostic Electrocardiograph ECG Market Top Competitive Players Industry Growth Drivers, 2027 Database Encryption Market Worldwide Key Industry Segments Forecast, 20202027 Compound Semiconductor Market Size Share Analysis terms value volume 2027 Composite Testing Market Global upcoming demand growth analysis 2027 Bandera County Courier Business Health Science Technology World HomeBusiness20202026 Artificial IntelligenceEmotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal BusinessTechnology 20202026 Artificial IntelligenceEmotion Recognition Global Market By Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal pratik March 6, 2020 The Global Artificial IntelligenceEmotion Recognition Market research report 20202026 elementary professional detailing essential elements driving Artificial IntelligenceEmotion Recognition market growth rate revenue statistic specific industry. 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TagsArtificial IntelligenceEmotion Recognition Market Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print pratik Related Articles February 27, 2020 4 1Methyl2pyrrolidone Market Forecast Analysis 2020 Companies BASF, Mitsubishi, Ashland, SNET, CNSG, MYI March 2, 2020 6 Yogurt Market Global Industry Analysis Opportunity Assessment 20202026 NESTL, PARMALAT S.P.A., YAKULT, CHOBANI LLC March 2, 2020 4 20202026 Ergonomic Chair Global Market By Herman Miller, Haworth, HNI Group February 28, 2020 6 Audiobook Service Industry Analysis Report 20202026 Audible, KOBO, Downpour, Blinkist Recent Posts Business 20202026 Endoscopes Repair Service Global Market By Endoscopy Repair Specialist, Elite Endoscopy Services, FiberTech Medical, Rigid Repair Center March 6, 2020 Business 20202026 Dog Cloning Global Market By Sinogene Pet Cloning, Sooam Biotech, ViaGen Pets, Boyalife, My friend Again March 6, 2020 Business 20202026 Cat Cloning Global Market By Sinogene Pet Cloning, Sooam Biotech, ViaGen Pets, Boyalife, My friend Again March 6, 2020 Business 20202026 Pet Cloning Global Market By Sinogene Pet Cloning, Sooam Biotech, ViaGen Pets, Boyalife, My friend Again March 6, 2020 Business 20202026 Antibiotic Susceptibility Testing Global Market By Danaher, BD, BioMerieux, Thermo Fischer Scientific, BioRad Laboratories, Merck March 6, 2020 Business 20202026 Psoriatic Arthritis PsA Treatment Global Market By Johnson Johnson, AbbVie, Novartis, UCB, Roche, Eli Lilly, Amgen, AstraZeneca March 6, 2020 Business 20202026 RadiationInduced Myelosuppression Treatment Global Market By Pfizer, Johnson Johnson, Novartis, Amgen, Teva Pharmaceutical, Mylan, Partner Therapeutics March 6, 2020 Business 20202026 Digital Vault Global Market By Cyberark, IBM, Oracle, Hitachi, Micro Focus, Fiserv March 6, 2020 Business 20202026 Backend Revenue Cycle Management Global Market By Athenahealth, Cerner, Allscripts, Eclinicalworks, Optum, Change Healthcare March 6, 2020 Business 20202026 Smart Parking Solutions Global Market By Amano, Cubic, Kapsch TrafficCom AG, Swarco AG, 3M, Thales March 6, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://thinkcuriouser.com/uncategorized/723454/text-based-intelligent-virtual-assistant-market-is-set-for-a-rapid-growth-and-is-expected-to-reach-usd-billion-by-2027-interactions-about-directly-concentrix-pega-google-inovia-ai-apple-sova/
2020-11-16T00:00:00
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Text-based Intelligent Virtual Assistant Market Is Set for a Rapid Growth and is Expected to Reach USD Billion by 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA – The Think Curiouser
Text-based Intelligent Virtual Assistant Market Is Set for a Rapid Growth and is Expected to Reach USD Billion by 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA – The Think Curiouser Skip to the content Search The Think Curiouser Menu Space Energy News Finance Contact Search Search for: Close search Close Menu Space Energy News Finance Contact Categories Energy Finance News Space Uncategorized Text-based Intelligent Virtual Assistant Market Is Set for a Rapid Growth and is Expected to Reach USD Billion by 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Post author By sarah Post date November 16, 2020 Since the outbreak of the COVID-19 virus in December 2019, the disease has spread to almost 100 countries cross the globe, with the World Health Organization (WHO) calling it a public health emergency. The global impact of coronary virus disease 2019 (COVID-19) is already beginning to be felt and will have a major impact on the industry in 2020. COVID-19 will influence the global economy in three main ways: by directly influencing production and demand, by creating supply chains and market disruptions, and by having a financial effect on businesses and financial markets. What’s the Effect of the Covid-19 Outbreak on Text-based Intelligent Virtual Assistant?  Optimistic Scenario: COVID-19 is from Mar to Sept., with normalcy returning to global Operations at the close of Q3 Conservative Scenario: COVID-19 Remains Prevalent, with a persistent Q4 influence Estimated Coronavirus Effect (COVID-19) Outbreak to Global Text-based Intelligent Virtual Assistant Business Scale of Text-based Intelligent Virtual Assistant in 2020. Corporate planning Producers should think about the right thing now The global demand for Text-based Intelligent Virtual Assistant is projected to grow dramatically over the forecast period from 2020 to 2026. In 2020, the market was rising at a steady pace and, with the approach being embraced by main players, the market is predicted to increase over the estimated horizon. The study comes out as an intelligent and comprehensive appraisal tool as well as a reliable guide that will help you maintain a solid place in the global Text-based Intelligent Virtual Assistant industry. This includes Porter’s Five Powers and PESTLE research to equip the company with critical knowledge and comparative statistics on the Global Text-based Intelligent Virtual Assistant Industry. We also given an in-depth review of the Vendor Environment to give you a full understanding of the present and potential business scenarios of the global Text-based Intelligent Virtual Assistant industry. Our researchers are using the new primary and secondary analysis methods and methods to produce detailed and reliable market research studies. The Text-based Intelligent Virtual Assistant market trend study method involves a study of numerous factors impacting the sector, including regulatory regulation, competitive dynamics, historical statistics, market climate, existing market developments, new technology, technological advancement and technical progress in relevant sectors, and market threats, market obstacles, opportunities and challenges. In addition to the comprehensive research Price, Position , Size & Growth, Latest News & Trends, Expansion Plan, Current Market Strategy, Top Firms, Revenues, Revenue & Competitors Review, Production and Consumption, Demand & Supply, Industry and Sector Research, Impact of Covid 19 (Buyers & Sellers) and Forecast. Regions served by the Text-based Intelligent Virtual Assistant Market: North America: US,Canada & Rest of North America Europe: UK, Germany, France, Italy, Spain & Rest of Europe APAC: India, Japan, China, South Korea & Rest of APAC MEA: Saudi Arabia, South Africa & Rest of MEA Latin America: Brazil, Mexico & Rest of Latin America Get A PDF Sample of Text-based Intelligent Virtual Assistant Report: https://www.precisionmarketreports.com/download-sample/22547   Note: In order to have more reliable demand predictions, all of our publications will be revised before delivery, taking into account the effects of COVID-19.   Segments Covered: Each segment of the global market for Text-based Intelligent Virtual Assistant is extensively assessed in the research review. The segmental review provided in the report recognises key opportunities accessible across leading segments in the global Text-based Intelligent Virtual Assistant industry. The geographical analysis of the global market for Text-based Intelligent Virtual Assistant contained in the report allows readers to obtain a sound understanding of the growth of various geographic markets over the last few years and even to the future. We have presented a comprehensive report on the vital dynamics of the global Text-based Intelligent Virtual Assistant industry, including market effect and market impact factors, drivers, threats, limitations, developments and prospects. The research report also contains other forms of analysis, such as qualitative and quantitative ones. In Chapter 4 and 14.1, on the basis of types, the Text-based Intelligent Virtual Assistant market from 2015 to 2025 is primarily split into: Windows iOS Android In Chapter 5 and 14.2, on the basis of applications, the Text-based Intelligent Virtual Assistant market from 2015 to 2025 covers: Personal Computers Smartphones Text-based Intelligent Virtual Assistant Market Share analysis is given for foreign markets, including growth patterns, competitive landscape analysis and the development status of key regions. Production policies and plans are debated, and manufacturing procedures and cost systems are also analysed. This report also sets out the import / export consumption, supply and demand figures, costs, prices, revenues and gross margins. For each manufacturer concerned, this report analyses its Text-based Intelligent Virtual Assistant manufacturing sites, capability, development, ex-factory price and revenue and market share in the global market Global Text-based Intelligent Virtual Assistant Report 2020 offers unique vital statistics, results, facts, developments and competitive landscape specifics for this niche market. Note: In order to have more reliable demand predictions, all of our publications will be revised before delivery, taking into account the effects of COVID-19.   Competitive Analysis: The Text-based Intelligent Virtual Assistant Industry study explores the business landscape by evaluating leading players on the industry. The business profile of leading industry players is included in this study by Porter’s Five Strength Analysis and Supply Chain Analysis. In addition, the strategies of corporations to grow their market by mergers, acquisitions and other business growth initiatives are addressed in the report. The financial metrics to be calculated include sales, profits and overall revenues generated by key market players. Top Players: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Amazon Main findings of the Text-based Intelligent Virtual Assistant Market Report: Estimation of profits and revenue Assemble Review Study of rivalry Request, Availability and Effectiveness Demand Curve (Pre & Post Covid 19 Pandemic) Supply Curve (Pre & Post Covid 19 Pandemic) Current Implementation Plan How to tackle current market scenario   Note: In order to have more reliable demand predictions, all of our publications will be revised before delivery, taking into account the effects of COVID-19. Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, and Chart) @: https://www.precisionmarketreports.com/download-sample/22547 The Text-based Intelligent Virtual Assistant Market Outlook offers key information on the state of the industry and is a reliable source of insight and insight for businesses and individuals involved in the market. Table of Contents: Chapter 1: Preface Market Scope Market Segmentation Key benefits for stakeholders Key Research Objectives Our Market Research Process Chapter 2: What is the Impact of Covid-19 Outbreak on the Market? Optimistic Scenario: COVID-19 is contained by May or June, With Normalcy Returning to Global Operations through the End of Q2. Conservative Scenario: COVID-19 Remains Prevalent, with Continued Impacts Lasting into Q4. Estimated Impact of the Coronavirus (COVID-19) Epidemic on the Market Market Size in 2020, by Scenario Corporate Strategy the Manufacturers Should Be Thinking About Right Now Impact of COVID-19 Pandemic Crisis on Sonar Buoy Pre-COVID-19 Market Growth Analysis Post-COVID-19 Market Growth Analysis Recovery Scenario (Short Term/Mid Term/Long Term) Chapter 3: Quarterly Competitive Assessment – 2020: By Players, Global Quarterly Market Size, 2019 VS 2020 By Players, Headquarters and Area Served Date of Key Players Enter into Market Key Players Function Offered Chapter 4: Assumptions and Research Methodologies Segment Definitions Research Methodology List of Primary and Secondary Function Outlooks Key Assumptions for Data Modelling Chapter 5: Executive Summary: Global Text-based Intelligent Virtual Assistant Market Overview Market Size 2015-2025 Market Size CAGR by Region 2015 VS 2020 VS 2025 Global Market Outlook Demand Side Trends Supply Side Trends Function Roadmap Analysis and Recommendations Chapter 6: Market Variables, Trends & Scope Market Coverage Market Definition/Scope/Limitation COVID-19-Driven Market Dynamics and Factor Analysis Market Factor Analysis Porter’s Five Force Analysis Top winning strategies PESTLE Analysis Market Dynamics (Growth Influencers) Drivers Restraints Opportunities Challenges Global Market Analysis and Forecast, 2020 – 2025 Market Revenue Analysis (US$ Mn) Historic Growth key Trends Impacting the Market, 2020-2025 Innovation / Development Trends, 2020-2025 Key Success Factors Chapter 7: Market Structure Analysis Market Analysis by Tier of Companies Market Concentration Market Share Analysis of Top Players Market Presence Analysis Any query? Enquire Here for Discount (COVID-19 Impact Analysis Updated Sample): https://www.precisionmarketreports.com/download-sample/22547 Note: In order to have more reliable demand predictions, all of our publications will be revised before delivery, taking into account the effects of COVID-19. Purchase this report (Price With the downturn in world economic growth, the Text-based Intelligent Virtual Assistant industry has also had some effects, but has remained reasonably positive in the last four years. Text-based Intelligent Virtual Assistant industry size to sustain the average annual growth rate of XX from USD million in 2019 to USD million in 2020.Report analysts expect that the market size of Text-based Intelligent Virtual Assistant will be further increased in the coming years. We expect the market value of Text-based Intelligent Virtual Assistant to hit USD XX million by 2024. About Us: Our committed efforts are aimed at broadening the traditional market research approach to a result-driven market expansion strategy. We remain determined to keep the interests of our customers in mind so that the target market can be reached. In order to do so, we make sense of the downsides, opportunities, circumstances and valuations by leveraging our well-founded methodologies and skills to allow our clients to experience creative ideas and outcomes. Contact Person: Mr. Sarah Thomas (Business Project Head) 169, Elisenthal, North Rhine- Westphalia, Rhehin- Sieg- Kreis,Windeck, Hohnrath, Germany, DE- 51570. Phone: +1 (845) 377-0269 Website: www.precisionmarketreports.com Email: [email protected] / [email protected] Tags COVID-19, Covid19 update, Covid19_Impact, Text Based Intelligent Virtual Assistant, Text Based Intelligent Virtual Assistant Market Share, Text-based Intelligent Virtual Assistant Market, Text-based Intelligent Virtual Assistant market analysis, Text-based Intelligent Virtual Assistant market Forecast, Text-based Intelligent Virtual Assistant Market Industry, Text-based Intelligent Virtual Assistant Market Overview, Text-based Intelligent Virtual Assistant Market Price, Text-based Intelligent Virtual Assistant Market Research Analysis, Text-based Intelligent Virtual Assistant Market Sales, Text-based Intelligent Virtual Assistant market SWOT analysis Coronavirus, Text-based Intelligent Virtual Assistant Market Trends ← Global Metastatic Hormone Refractory Prostate Cancer Market Industry Outlook Size, Share, Trend, Growth and forecast 2017-2025 Space Energy News Finance Contact Search for: Recent Posts Text-based Intelligent Virtual Assistant Market Is Set for a Rapid Growth and is Expected to Reach USD Billion by 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Global Metastatic Hormone Refractory Prostate Cancer Market Industry Outlook Size, Share, Trend, Growth and forecast 2017-2025 2020 Update: Argan Oil Market | Know About Top Players: OLVEA Morocco, Zineglobe, Biopur, Nadifi Argan, Argania, ARGANisme Cosmetics, etc. | COVID19 Impact & Post COVID19 Growth Opportunities | Affluence Global Surgical Visualization Systems Analysis Size, Share, Top Key Players, Trend, Growth and forecast 2019-2027 Global Cloud Commerce Software Market, Top key players @ Shopify, SAP SE, Salesforce.com, Inc., Pitney Bowes Inc., and Oracle © 2020 The Think Curiouser Powered by WordPress To the top ↑ Up ↑
Text-based Intelligent Virtual Assistant Market Is Set for a Rapid Growth and is Expected to Reach USD Billion by 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA
Textbased Intelligent Virtual Assistant Market Is Set Rapid Growth Expected Reach USD Billion 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Energy Finance News Space Uncategorized Textbased Intelligent Virtual Assistant Market Is Set Rapid Growth Expected Reach USD Billion 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Post author By sarah Post date November 16, 2020 Since outbreak COVID19 virus December 2019, disease spread 100 countries cross globe, World Health Organization WHO calling public health emergency. The global impact coronary virus disease 2019 COVID19 beginning felt major impact industry 2020. COVID19 influence global economy main ways: directly influencing production demand, creating supply chains market disruptions, financial effect businesses financial markets. Whats Effect Covid19 Outbreak Textbased Intelligent Virtual Assistant? Optimistic Scenario: COVID19 Mar Sept., normalcy returning global Operations close Q3 Conservative Scenario: COVID19 Remains Prevalent, persistent Q4 influence Estimated Coronavirus Effect COVID19 Outbreak Global Textbased Intelligent Virtual Assistant Business Scale Textbased Intelligent Virtual Assistant 2020. Corporate planning Producers think right thing The global demand Textbased Intelligent Virtual Assistant projected grow dramatically forecast period 2020 2026. In 2020, market rising steady pace and, approach embraced main players, market predicted increase estimated horizon. The study comes intelligent comprehensive appraisal tool reliable guide help maintain solid place global Textbased Intelligent Virtual Assistant industry. This includes Porters Five Powers PESTLE research equip company critical knowledge comparative statistics Global Textbased Intelligent Virtual Assistant Industry. We given indepth review Vendor Environment understanding present potential business scenarios global Textbased Intelligent Virtual Assistant industry. Our researchers new primary secondary analysis methods methods produce detailed reliable market research studies. The Textbased Intelligent Virtual Assistant market trend study method involves study numerous factors impacting sector, including regulatory regulation, competitive dynamics, historical statistics, market climate, existing market developments, new technology, technological advancement technical progress relevant sectors, market threats, market obstacles, opportunities challenges. In addition comprehensive research Price, Position , Size Growth, Latest News Trends, Expansion Plan, Current Market Strategy, Top Firms, Revenues, Revenue Competitors Review, Production Consumption, Demand Supply, Industry Sector Research, Impact Covid 19 Buyers Sellers Forecast. Regions served Textbased Intelligent Virtual Assistant Market: North America: US,Canada Rest North America Europe: UK, Germany, France, Italy, Spain Rest Europe APAC: India, Japan, China, South Korea Rest APAC MEA: Saudi Arabia, South Africa Rest MEA Latin America: Brazil, Mexico Rest Latin America Get A PDF Sample Textbased Intelligent Virtual Assistant Report: Note: In order reliable demand predictions, publications revised delivery, taking account effects COVID19. Segments Covered: Each segment global market Textbased Intelligent Virtual Assistant extensively assessed research review. The segmental review provided report recognises key opportunities accessible leading segments global Textbased Intelligent Virtual Assistant industry. The geographical analysis global market Textbased Intelligent Virtual Assistant contained report allows readers obtain sound understanding growth geographic markets years future. We presented comprehensive report vital dynamics global Textbased Intelligent Virtual Assistant industry, including market effect market impact factors, drivers, threats, limitations, developments prospects. The research report contains forms analysis, qualitative quantitative ones. In Chapter 4 14.1, basis types, Textbased Intelligent Virtual Assistant market 2015 2025 primarily split into: Windows iOS Android In Chapter 5 14.2, basis applications, Textbased Intelligent Virtual Assistant market 2015 2025 covers: Personal Computers Smartphones Textbased Intelligent Virtual Assistant Market Share analysis given foreign markets, including growth patterns, competitive landscape analysis development status key regions. Production policies plans debated, manufacturing procedures cost systems analysed. This report sets import export consumption, supply demand figures, costs, prices, revenues gross margins. For manufacturer concerned, report analyses Textbased Intelligent Virtual Assistant manufacturing sites, capability, development, exfactory price revenue market share global market Global Textbased Intelligent Virtual Assistant Report 2020 offers unique vital statistics, results, facts, developments competitive landscape specifics niche market. Note: In order reliable demand predictions, publications revised delivery, taking account effects COVID19. Competitive Analysis: The Textbased Intelligent Virtual Assistant Industry study explores business landscape evaluating leading players industry. The business profile leading industry players included study Porters Five Strength Analysis Supply Chain Analysis. In addition, strategies corporations grow market mergers, acquisitions business growth initiatives addressed report. The financial metrics calculated include sales, profits overall revenues generated key market players. Top Players: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Amazon Main findings Textbased Intelligent Virtual Assistant Market Report: Estimation profits revenue Assemble Review Study rivalry Request, Availability Effectiveness Demand Curve Pre Post Covid 19 Pandemic Supply Curve Pre Post Covid 19 Pandemic Current Implementation Plan How tackle current market scenario Note: In order reliable demand predictions, publications revised delivery, taking account effects COVID19. Get PDF Sample Copy Report understand structure complete report: luding Full TOC, List Tables Figures, Chart The Textbased Intelligent Virtual Assistant Market Outlook offers key information state industry reliable source insight insight businesses individuals involved market. Table Contents: Chapter 1: Preface Market Scope Market Segmentation Key benefits stakeholders Key Research Objectives Our Market Research Process Chapter 2: What Impact Covid19 Outbreak Market? Optimistic Scenario: COVID19 contained May June, With Normalcy Returning Global Operations End Q2. Conservative Scenario: COVID19 Remains Prevalent, Continued Impacts Lasting Q4. Estimated Impact Coronavirus COVID19 Epidemic Market Market Size 2020, Scenario Corporate Strategy Manufacturers Should Be Thinking About Right Now Impact COVID19 Pandemic Crisis Sonar Buoy PreCOVID19 Market Growth Analysis PostCOVID19 Market Growth Analysis Recovery Scenario Short TermMid TermLong Term Chapter 3: Quarterly Competitive Assessment 2020: By Players, Global Quarterly Market Size, 2019 VS 2020 By Players, Headquarters Area Served Date Key Players Enter Market Key Players Function Offered Chapter 4: Assumptions Research Methodologies Segment Definitions Research Methodology List Primary Secondary Function Outlooks Key Assumptions Data Modelling Chapter 5: Executive Summary: Global Textbased Intelligent Virtual Assistant Market Overview Market Size 20152025 Market Size CAGR Region 2015 VS 2020 VS 2025 Global Market Outlook Demand Side Trends Supply Side Trends Function Roadmap Analysis Recommendations Chapter 6: Market Variables, Trends Scope Market Coverage Market DefinitionScopeLimitation COVID19Driven Market Dynamics Factor Analysis Market Factor Analysis Porters Five Force Analysis Top winning strategies PESTLE Analysis Market Dynamics Growth Influencers Drivers Restraints Opportunities Challenges Global Market Analysis Forecast, 2020 2025 Market Revenue Analysis US Mn Historic Growth key Trends Impacting Market, 20202025 Innovation Development Trends, 20202025 Key Success Factors Chapter 7: Market Structure Analysis Market Analysis Tier Companies Market Concentration Market Share Analysis Top Players Market Presence Analysis Any query? Enquire Here Discount COVID19 Impact Analysis Updated Sample: Note: In order reliable demand predictions, publications revised delivery, taking account effects COVID19. Purchase report Price With downturn world economic growth, Textbased Intelligent Virtual Assistant industry effects, remained reasonably positive years. Textbased Intelligent Virtual Assistant industry size sustain average annual growth rate XX USD million 2019 USD million 2020.Report analysts expect market size Textbased Intelligent Virtual Assistant increased coming years. We expect market value Textbased Intelligent Virtual Assistant hit USD XX million 2024. : Our committed efforts aimed broadening traditional market research approach resultdriven market expansion strategy. We remain determined interests customers mind target market reached. In order so, sense downsides, opportunities, circumstances valuations leveraging wellfounded methodologies skills allow clients experience creative ideas outcomes. Person: Mr.Sarah Thomas Business Project Head 169, Elisenthal, North Rhine Westphalia, Rhehin Sieg Kreis,Windeck, Hohnrath, Germany, DE 51570. Phone:1 845 3770269 Website: Email:[emailprotected] [emailprotected] Tags COVID19, Covid19 update, Covid19_Impact, Text Based Intelligent Virtual Assistant, Text Based Intelligent Virtual Assistant Market Share, Textbased Intelligent Virtual Assistant Market, Textbased Intelligent Virtual Assistant market analysis, Textbased Intelligent Virtual Assistant market Forecast, Textbased Intelligent Virtual Assistant Market Industry, Textbased Intelligent Virtual Assistant Market Overview, Textbased Intelligent Virtual Assistant Market Price, Textbased Intelligent Virtual Assistant Market Research Analysis, Textbased Intelligent Virtual Assistant Market Sales, Textbased Intelligent Virtual Assistant market SWOT analysis Coronavirus, Textbased Intelligent Virtual Assistant Market Trends Global Metastatic Hormone Refractory Prostate Cancer Market Industry Outlook Size, Share, Trend, Growth forecast 20172025 Space Energy News Finance for: Recent Posts Textbased Intelligent Virtual Assistant Market Is Set Rapid Growth Expected Reach USD Billion 2027: Interactions About Directly Concentrix Pega Google Inovia AI Apple SOVA Global Metastatic Hormone Refractory Prostate Cancer Market Industry Outlook Size, Share, Trend, Growth forecast 20172025 2020 Update:Argan Oil Market Know About Top Players: OLVEA Morocco, Zineglobe, Biopur, Nadifi Argan, Argania, ARGANisme Cosmetics, etc. COVID19 Impact PostCOVID19 Growth Opportunities Affluence Global Surgical Visualization Systems Analysis Size, Share, Top Key Players, Trend, Growth forecast 20192027 Global Cloud Commerce Software Market, Top key players @ Shopify, SAP SE, , ., Pitney Bowes ., Oracle 2020 The Think Curiouser Powered WordPress To Up
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https://marketreportobserver.com/2020/04/30/conversational-ai-market-overview-and-regional-outlook-study-2018-2028/
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Conversational AI Market Overview and Regional Outlook Study 2018 – 2028 – Market Reports Observer
Conversational AI Market Overview and Regional Outlook Study 2018 – 2028 – Market Reports Observer Skip to content 488 E 11th Ave, Eugene, OR 97401, USA +1 541-687-2347 [email protected] Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Conversational AI Market Overview and Regional Outlook Study 2018 – 2028 Market Research Reports Conversational AI Market Overview and Regional Outlook Study 2018 – 2028 by [email protected] in Uncategorized on April 30, 2020 0 Global Conversational AI Market: Overview The global conversational AI market is gaining traction, owing to the convenience it provides to the customer in delivering personalized communication. Conversational AI includes computerized programs for conducting a conversation via textual or auditory methods. Such Artificial intelligence and computer programs are mostly designed to convincingly simulate humans’ behaviors as a conversational partner, therefore passing the Turing test. Conversational AI is typically used in various dialog systems for several practical purposes such as information acquisition or customer service. All such advantages are driving the global conversational AI market. From the perspective of applications, the global conversational AI market is segmented into chatbots, messaging apps, digital/personal assistants, and voice search. Among these applications, the personal assistants segment accounts for the largest share and is expected to boost the global conversational AI market during the forecast period. This is because of the rising demand for open conversations as well as contextualization at the same time. Many enterprises are now leveraging AI technology through using a combination of NLU and ML, which helps in training the assistants with unique business data and industry-specific knowledge. Such USPs are fueling growth in the global conversational AI market. Get Sample Copy of the Report @ https://www.tmrresearch.com/sample/sample?flag=B&rep_id=5031 Global Conversational AI Market: Notable Developments Some of the recent developments that may influence the contours of the conversational AI market in a big way are: Currently, various renowned messaging apps such as Slack, WhatsApp, Facebook, WeChat, and Messenger are allowing chatbots to be built on their messaging platforms. Instead of placing standalone chatbots on the mobile app or website, various brands now have the opportunity in connecting with their users on such messaging apps throughout their buying journey. Such advantages are also fueling demand in the global conversational AI market. Many vendors in the global conversational AI market are offering cloud-based solutions for gaining conversations insight in real time. These vendors are focusing hard on developing robust cloud-based solutions for the clients, as many enterprises have shifted to private or a public cloud. Key players operating in the global conversational AI market include Baidu, Nuance, Oracle, Microsoft, Google, SAP, and Haptik. Global Conversational AI Market: Key Growth Dynamics Rising Demand for AI-powered Customer Support Services to Boost Market’s Growth The biggest strength of conversational AI lies in their potentiality to carry out human-like conversations. Conversational AI interfaces help people in finding places to eat, looking for gift recommendations, checking status of order, and also the ways for resolving a problem associated with the recently brought products. Due to all such advantages, conversational AI is becoming more ubiquitous day by day. Such factors are boosting the global conversational AI market. Along with this, rising demand for AI-powered customer support services, and growing need for Omni-channel deployment are also fueling growth in the global conversational AI market. Furthermore, rising demand for easy-to-use, scalable, and cost-effective conversational AI solutions from various organizations, and growing need for reducing chatbot development cost are the factors majorly propelling expansion in the global conversational AI market. Along with all these, rapid proliferation rate of human-machine interactions in natural languages, rising need for efficient regular messaging, and growing demand for voice assistants are also fueling growth in the global conversational AI market. Request TOC of the Report @ https://www.tmrresearch.com/sample/sample?flag=T&rep_id=5031 Poor Communication Quality May Hinder Market’s Growth High costs of the products, risk associated with malfunctioning electronic devices, and poor communication quality are the major challenges in the global conversational AI market which are hampering growth of the market. Nonetheless, such deterrents may not impact the momentum expected in the global conversational AI market in the near term. Global Conversational AI Market: Regional Outlook Geographically, North America is expected to lead the global conversational AI market as the region has seen rapid technological advancements. Rising investments for enhancing AI and ML technologies, rapid adoption of conversational AI, and increasing governments’ investments on AI-based technologies are also responsible for fueling growth in the conversational AI market I this region. About TMR Research: TMR Research is a premier provider of customized market research and consulting services to business entities keen on succeeding in today’s supercharged economic climate. Armed with an experienced, 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. Contact: TMR Research, 3739 Balboa St # 1097, San Francisco, CA 94121 United States Tel: +1-415-520-1050 [wp-rss-aggregator] Post navigation Previous: Previous post: Identity Governance and Administration Market Detailed Study Analysis with Forecast by 2028Next: Next post: Virtual Classroom Market Latest Report with Forecast to 2028 Search for: Latest News Commercial Vehicle Paint & Coating Market Expected to Witness a Sustainable Growth by 2030 April 30, 2020 Automotive Cooler Market Market: 2020 Industry Outlook, Comprehensive Insights, Growth and Forecast 2030 April 30, 2020 Automotive Axle System Market To Boost CAGR Prospects (2020-2030) || PMI April 30, 2020 Cardinal Marks Beacon Buoys Market to Witness Increased Incremental Dollar Opportunity During the Forecast Period 2020 – 2030 April 30, 2020 Automotive Diagnostic Tools Market share analysis Manufacturing Process, Machinery, Raw Materials, Cost and Revenue 2030 April 30, 2020 Automotive E-Commerce Market Manufacture Size, Developments and Future Scope To 2030 April 30, 2020 Automotive Electric Drivetrain System Market Poised to Grow at a CAGR of XX% Between 2020 – 2030 April 30, 2020 Automotive Rear Cliper Market Global Strategies and Insight driven transformation 2020 – 2030 April 30, 2020 Automotive Engine Oil Coolant Market Insights, New Project Investment and Potential Growth Scope April 30, 2020 Cold-end Exhaust System Market Poised to Grow at a CAGR of XX% Between 2020 – 2030 April 30, 2020 ©  2020 Market Reports Observer. Built using WordPress and the Highlight Theme
Conversational AI Market Overview and Regional Outlook Study 2018
Conversational AI Market Overview Regional Outlook Study 2018 2028 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 Conversational AI Market Overview Regional Outlook Study 2018 2028 Market Research Reports Conversational AI Market Overview Regional Outlook Study 2018 2028 [emailprotected] Uncategorized April 30, 2020 0 Global Conversational AI Market: Overview The global conversational AI market gaining traction, owing convenience provides customer delivering personalized communication. Conversational AI includes computerized programs conducting conversation textual auditory methods. Such Artificial intelligence programs designed convincingly simulate humans behaviors conversational partner, passing Turing test. Conversational AI typically dialog systems practical purposes information acquisition customer service. All advantages driving global conversational AI market. From perspective applications, global conversational AI market segmented chatbots, messaging apps, digitalpersonal assistants, voice search. Among applications, personal assistants segment accounts largest share expected boost global conversational AI market forecast period. This rising demand open conversations contextualization time. Many enterprises leveraging AI technology combination NLU ML, helps training assistants unique business data industryspecific knowledge. Such USPs fueling growth global conversational AI market. Get Sample Copy Report @ Global Conversational AI Market: Notable Developments Some recent developments influence contours conversational AI market big way are: Currently, renowned messaging apps Slack, WhatsApp, Facebook, WeChat, Messenger allowing chatbots built messaging platforms. Instead placing standalone chatbots mobile app website, brands opportunity connecting users messaging apps buying journey. Such advantages fueling demand global conversational AI market. Many vendors global conversational AI market offering cloudbased solutions gaining conversations insight real time. These vendors focusing hard developing robust cloudbased solutions clients, enterprises shifted private public cloud. Key players operating global conversational AI market include Baidu, Nuance, Oracle, Microsoft, Google, SAP, Haptik. Global Conversational AI Market: Key Growth Dynamics Rising Demand AIpowered Customer Support Services Boost Markets Growth The biggest strength conversational AI lies potentiality carry humanlike conversations. Conversational AI interfaces help people finding places eat, looking gift recommendations, checking status order, ways resolving problem associated recently brought products. Due advantages, conversational AI ubiquitous day day. Such factors boosting global conversational AI market. Along this, rising demand AIpowered customer support services, growing need Omnichannel deployment fueling growth global conversational AI market. Furthermore, rising demand easytouse, scalable, costeffective conversational AI solutions organizations, growing need reducing chatbot development cost factors majorly propelling expansion global conversational AI market. Along these, rapid proliferation rate humanmachine interactions natural languages, rising need efficient regular messaging, growing demand voice assistants fueling growth global conversational AI market. Request TOC Report @ Poor Communication Quality May Hinder Markets Growth High costs products, risk associated malfunctioning electronic devices, poor communication quality major challenges global conversational AI market hampering growth market. Nonetheless, deterrents impact momentum expected global conversational AI market near term. Global Conversational AI Market: Regional Outlook Geographically, North America expected lead global conversational AI market region seen rapid technological advancements. Rising investments enhancing AI ML technologies, rapid adoption conversational AI, increasing governments investments AIbased technologies responsible fueling growth conversational AI market I region. 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. : TMR Research, 3739 Balboa St 1097, San Francisco, CA 94121 United States Tel: 14155201050 [wprssaggregator] Post navigation Previous: Previous post: Identity Governance Administration Market Detailed Study Analysis Forecast 2028Next: Next post: Virtual Classroom Market Latest Report Forecast 2028 for: Latest News Commercial Vehicle Paint Coating Market Expected Witness Sustainable Growth 2030 April 30, 2020 Automotive Cooler Market Market: 2020 Industry Outlook, Comprehensive Insights, Growth Forecast 2030 April 30, 2020 Automotive Axle System Market To Boost CAGR Prospects 20202030 PMI April 30, 2020 Cardinal Marks Beacon Buoys Market Witness reased remental Dollar Opportunity During Forecast Period 2020 2030 April 30, 2020 Automotive Diagnostic Tools Market share analysis Manufacturing Process, Machinery, Raw Materials, Cost Revenue 2030 April 30, 2020 Automotive ECommerce Market Manufacture Size, Developments Future Scope To 2030 April 30, 2020 Automotive Electric Drivetrain System Market Poised Grow CAGR XX Between 2020 2030 April 30, 2020 Automotive Rear Cliper Market Global Strategies Insight driven transformation 2020 2030 April 30, 2020 Automotive Engine Oil Coolant Market Insights, New Project Investment Potential Growth Scope April 30, 2020 Coldend Exhaust System Market Poised Grow CAGR XX Between 2020 2030 April 30, 2020 2020Market Reports Observer.Built WordPress Highlight Theme
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https://newsparent.com/global-artificial-intelligence-ai-in-agriculture-market-2020-development-factors-increasing-demand-current-trend-key-business-strategies-and-forecast-2025/
2020-03-03T00:00:00
en
Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025 – News Parent
Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025 – News Parent Skip to content Top Menu March 3, 2020 About Us Contact Us Disclaimer Our Staff Privacy Policy News Parent Bio Technology-Electronics-Emerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports Search for: Main Menu Market ReportsGlobal Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025 March 3, 2020March 3, 2020 - by anita - Leave a Comment Market Research Report provides information on Products, Services, Trends, Top Companies, Verticals, Countries, Technology, Application, and Geography globally. This report will help the viewer in Better Decision Making ,offers by OrbisResearch.com The research report on Global Artificial Intelligence (AI) in Agriculture Market offers a detailed analysis of market features and a comprehensive study of market trends that are influencing the growth of the Global Artificial Intelligence (AI) in Agriculture Market. In addition, this report covers significant details about the market size, profit estimations, and market share to provide an accurate prediction about the Global Artificial Intelligence (AI) in Agriculture Market. Furthermore, the Global Artificial Intelligence (AI) in Agriculture Market report offers a precise competitive analysis focusing growth strategies implemented by the service providers. The Global Artificial Intelligence (AI) in Agriculture Market report also studies valuable source of significant data for market growth strategies. Additionally, the report offers historical as well as futuristic revenue, cost, supply data, demand, distributor, and value chain analysis. This report comprises complete information which improves the scope, understanding, and application of the Global Artificial Intelligence (AI) in Agriculture Market report. Request Sample Report @ https://www.orbisresearch.com/contacts/request-sample/4195692?utm_source=Ancy This report covers following key players: IBM Granular Intel SAP Agribotix Microsoft aWhere The Climate Corporation Precision Hawk Taranis CropX Gamaya John Deere Prospera Technologies Vision Robotics Resson Harvest Croo Robotics DTN Cainthus Moreover, the Global Artificial Intelligence (AI) in Agriculture Market report majorly focuses on the market and its development potentials over the forecast period. A professional and exhaustive outlook of the globe Global Artificial Intelligence (AI) in Agriculture Market study report has been designed by market analysts and offered in the well manner. In addition to this, the Global Artificial Intelligence (AI) in Agriculture Market research report delivers the fundamental information about the global market along with the industry-based analytical methodologies. Likewise, the Global Artificial Intelligence (AI) in Agriculture Market report also contains a complete data about the market vertical in question and offers a broad analysis of the market segmentations. The research report comprises a workable estimations of the current market outlook with the market size in terms of value and volume. Moreover, the Global Artificial Intelligence (AI) in Agriculture Market report offers all the major data regarding the competitive landscape of the industry vertical as well as the number of different regions where the market has successfully gained its revenue. The report provides a detailed overview of the market segmentation along with all the sub segments. Access Complete Report @ https://www.orbisresearch.com/reports/index/global-artificial-intelligence-ai-in-agriculture-market-growth-status-and-outlook-2020-2025?utm_source=Ancy Segmentation by product type: Machine Learning Computer Vision Predictive Analytics Segmentation by application: Precision Farming Livestock Monitoring Drone Analytics Agriculture Robots Others In addition, the Global Artificial Intelligence (AI) in Agriculture Market report delivers a complete analysis of the market comprising both quantitative and qualitative data. It offers a brief description and forecast of the Global Artificial Intelligence (AI) in Agriculture Market on the basis of number of segments. This report also provides market forecast and market size from the given prediction period with respect to the major regions such as Europe, North America, Asia Pacific, MEA, and others. Likewise, the Global Artificial Intelligence (AI) in Agriculture Market research report offers a detailed description about every region along with their segments. Moreover, the report also covers the forecast and analysis of several countries across the globe with the current opportunities and trends prevailing across the region. In addition to this, the Global Artificial Intelligence (AI) in Agriculture Market report extensively analyzes several factors which are affecting the Global Artificial Intelligence (AI) in Agriculture Market from both supply and demand side that further assesses the Global Artificial Intelligence (AI) in Agriculture Market dynamics over the forecast period. Furthermore, the Global Artificial Intelligence (AI) in Agriculture Market report offers a complete study about the market drivers, opportunities, restraining factors, and future trends. This report also contains exhaustive SWOT and PEST analysis for all the mentioned regions. The report focuses on the major service providers and their pricing strategies implemented to gain the market existence. In addition, the Global Artificial Intelligence (AI) in Agriculture Market report includes the social, political, technological, and economic factors that are impacting the Global Artificial Intelligence (AI) in Agriculture Market growth. Enquiry Before Buying @ https://www.orbisresearch.com/contacts/enquiry-before-buying/4195692?utm_source=Ancy Some TOC Points: 1 Scope of the Report 2 Executive Summary 3 Global Artificial Intelligence (AI) in Agriculture by Company 4 Artificial Intelligence (AI) in Agriculture by Regions …Continued About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager – Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 Related Posts High Temperature Optical Fiber Market 2020|Leading Key Players Involved March 3, 2020 Semiconductor Equipments Market To Observe exponential Growth By 2020-2027 | Market Expertz March 3, 2020 Global Gyro-Stabilized Turret Market Development, Forecasts, Research, Analysis And Revenue Status 2020-2026 March 3, 2020 Post navigation Previous Article Climbing Specialized Clothing Market Likely to Grow at a Healthy CagrNext Article Global IT Service Management (ITSM) Software Market 2020 Growing with Technology Development, New Innovations, Competitive Analysis and Forecast 2025 About anita View all posts by anita → Leave a Reply Cancel replyYour email address will not be published. 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Global Artificial Intelligence (AI) in Agriculture Market 2020: Development Factors, Increasing Demand, Current Trend, Key Business Strategies and Forecast 2025
Global Artificial Intelligence AI Agriculture Market 2020: Development Factors, reasing Demand, Current Trend, Key Business Strategies Forecast 2025 News Parent Skip content Top Menu March 3, 2020 Us Disclaimer Our Staff News Parent Bio TechnologyElectronicsEmerging Market News Home Bio Technology Electronics Emerging News Finance Market Reports for: Main Menu Market ReportsGlobal Artificial Intelligence AI Agriculture Market 2020: Development Factors, reasing Demand, Current Trend, Key Business Strategies Forecast 2025 March 3, 2020March 3, 2020 anita Leave Comment Market Research Report provides information Products, Services, Trends, Top Companies, Verticals, Countries, Technology, Application, Geography globally. This report help viewer Better Decision Making ,offers The research report Global Artificial Intelligence AI Agriculture Market offers detailed analysis market features comprehensive study market trends influencing growth Global Artificial Intelligence AI Agriculture Market. In addition, report covers significant details market size, profit estimations, market share provide accurate prediction Global Artificial Intelligence AI Agriculture Market. Furthermore, Global Artificial Intelligence AI Agriculture Market report offers precise competitive analysis focusing growth strategies implemented service providers. The Global Artificial Intelligence AI Agriculture Market report studies valuable source significant data market growth strategies. Additionally, report offers historical futuristic revenue, cost, supply data, demand, distributor, value chain analysis. This report comprises complete information improves scope, understanding, application Global Artificial Intelligence AI Agriculture Market report. Request Sample Report @ This report covers following key players: IBM Granular Intel SAP Agribotix Microsoft aWhere The Climate Corporation Precision Hawk Taranis CropX Gamaya John Deere Prospera Technologies Vision Robotics Resson Harvest Croo Robotics DTN Cainthus Moreover, Global Artificial Intelligence AI Agriculture Market report majorly focuses market development potentials forecast period. A professional exhaustive outlook globe Global Artificial Intelligence AI Agriculture Market study report designed market analysts offered manner. In addition this, Global Artificial Intelligence AI Agriculture Market research report delivers fundamental information global market industrybased analytical methodologies. Likewise, Global Artificial Intelligence AI Agriculture Market report contains complete data market vertical question offers broad analysis market segmentations. The research report comprises workable estimations current market outlook market size terms value volume. Moreover, Global Artificial Intelligence AI Agriculture Market report offers major data competitive landscape industry vertical number different regions market successfully gained revenue. The report provides detailed overview market segmentation sub segments. Access Complete Report @ Segmentation product type: Machine Learning Computer Vision Predictive Analytics Segmentation application: Precision Farming Livestock Monitoring Drone Analytics Agriculture Robots Others In addition, Global Artificial Intelligence AI Agriculture Market report delivers complete analysis market comprising quantitative qualitative data. It offers brief description forecast Global Artificial Intelligence AI Agriculture Market basis number segments. This report provides market forecast market size given prediction period respect major regions Europe, North America, Asia Pacific, MEA, others. Likewise, Global Artificial Intelligence AI Agriculture Market research report offers detailed description region segments. Moreover, report covers forecast analysis countries globe current opportunities trends prevailing region. In addition this, Global Artificial Intelligence AI Agriculture Market report extensively analyzes factors affecting Global Artificial Intelligence AI Agriculture Market supply demand assesses Global Artificial Intelligence AI Agriculture Market dynamics forecast period. Furthermore, Global Artificial Intelligence AI Agriculture Market report offers complete study market drivers, opportunities, restraining factors, future trends. This report contains exhaustive SWOT PEST analysis mentioned regions. The report focuses major service providers pricing strategies implemented gain market existence. In addition, Global Artificial Intelligence AI Agriculture Market report includes social, political, technological, economic factors impacting Global Artificial Intelligence AI Agriculture Market growth. Enquiry Before Buying @ Some TOC Points: 1 Scope Report 2 Executive Summary 3 Global Artificial Intelligence AI Agriculture Company 4 Artificial Intelligence AI Agriculture Regions Continued : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Related Posts High Temperature Optical Fiber Market 2020Leading Key Players Involved March 3, 2020 Semiconductor Equipments Market To Observe exponential Growth By 20202027 Market Expertz March 3, 2020 Global GyroStabilized Turret Market Development, Forecasts, Research, Analysis And Revenue Status 20202026 March 3, 2020 Post navigation Previous Article Climbing Specialized Clothing Market Likely Grow Healthy CagrNext Article Global IT Service Management ITSM Software Market 2020 Growing Technology Development, New Innovations, Competitive Analysis Forecast 2025 About anita View posts anita Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website for: Recent Posts Research Report Overview Network Packet Broker Market, 20192020 Industrial Smart Motors Market Product Analysis 20192025 High Temperature Optical Fiber Market 2020Leading Key Players Involved Semiconductor Equipments Market To Observe exponential Growth By 20202027 Market Expertz Hot Water Generators Market Industry Analysis Analysis 20192025 Founded 2K18,News Parentfocuses company news, research, andanalysis, moreimportantin recentlys uncertain investment environment. 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.
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https://yourstory.com/2020/01/ces-2020-mark-cuban-ai-artificial-intelligence-investments-startups
2020-01-09T00:00:00
en
CES 2020: Mark Cuban's message to entrepreneurs - learn, invest in AI or risk becoming a dinosaur
CES 2020: Mark Cuban's message to entrepreneurs - learn, invest in AI or risk becoming a dinosaur அअಅYourStoryAwardsHerStorySocialStorySMBStoryYourStoryTVMoreAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginYourStoryAwardsHerStorySocialStorySMBStoryYourStoryTVMoreLanguageIn DepthCES 2020: Mark Cuban's message to entrepreneurs - learn, invest in AI or risk becoming a dinosaurMark Cuban is bullish on artificial intelligence (AI) technology and is investing in startups that leverage AI to create world-changing solutions, the serial entrepreneur and Shark Tank investor said at the CES 2020 event. By Tenzin Pema9th Jan 2020+0 Share on+0 Share onShare onInvestor Mark Cuban has an emphatic message for entrepreneurs, businesses, and the government – invest in artificial intelligence (AI) technology or risk becoming ‘a dinosaur’ very soon.Speaking at the CES 2020 event, the world’s most influential annual consumer technology conference, at Las Vegas, Nevada, the serial entrepreneur and Shark Tank investor also voiced his own passion for all things AI-related, adding that he is betting big on AI and investing in startups and businesses that leverage AI to innovate and create meaningful, world-changing impact.“In terms of where I am investing – everything around AI. Period. End of story,” he told a roomful of consumer industry delegates at the CES, the annual technology conference hosted and produced by the Consumer Technology Association.Variety co-editor-in-chief Andrew Wallenstein and Shark Tank investor Mark Cuban at the CES 2020 consumer technology summit at Las Vegas, NevadaMark Cuban emphasised the need for the US government to be involved in developing AI technology and supporting its use, saying this was a national priority akin to the need to invest in and stay ahead of the space mission in the 1950s.“This (AI) is the new space mission. We really, really, really, really, really, really, really need to invest in it. We really do. If we don’t it would be cataclysmic. Literally,” Cuban emphasised.The billionaire – who has invested in several healthtech startups such as Eon Health and Genetesis that leverage AI technology – also stressed on the need for entrepreneurs and businesses to understand AI technology and include it in their strategic long-term plans in order to stay relevant in the years to come.“If any of you are entrepreneurs or in the business world and if you don’t know AI, then you’re the equivalent of somebody in 1999 saying, “Yeah, I’m sure this internet thing will be okay, but I don’t give a shit.” It’s the same thing,” he said.Also ReadCES 2020: From Apple and Ivanka Trump to 5G, AI, robotics – here's what’s in store at the annual tech bonanzaGoing forward, the world will quickly be defined by ‘AI haves’ and ‘AI have-nots,’ said Mark Cuban, who admitted that he’s been taking tutorials and classes on artificial intelligence and machine learning on AWS and on Coursera to better understand the technology. “If you want to be relevant in business and understand all this discussion about AI, you have to do it or else you will be a dinosaur very quickly. There’s going to be ‘AI haves’ and ‘AI have-nots’, and if you are an ‘AI have-not’, then you might as well just rip out all the computers in your office and throw away your phones, because that’s how impactful it will be,” he added.Still, there are challenges in integrating AI technology, with small companies finding it the hardest unlike the big tech majors like Google, Amazon, and Facebook that can invest billions of dollars on AI and go through trial and error to understand what works and doesn’t work, Mark Cuban said.“Then underneath those companies (tech behemoths) are the multibillion-dollar companies. Those companies have challenges with AI too. AI is hard. It is really hard to do. You don’t know what data to do. You don’t know if your outcomes are correct. There are so many uncertainties. But it’s even harder for small companies,” he noted.But challenges aside, it is imperative that governments and businesses make understanding and integrating AI technology a priority, said the owner of NBA’s Dallas Mavericks.“Not too get too Elon Musk… but once you get robotic-like dexterity, once you get batteries that can go for days instead of hours, and once you have processors that can do 100X what they are doing now, we are going to be discussing red pill or blue pill," he said, referring to the popular The Matrix movie-inspired meme which represents a choice to take 'the red pill' to know the unpleasant truths of reality or 'the blue pill' to live in ignorance and in the illusion of reality."We’re going to be talking about military weaponry that’s going to be driven by robotics and AI, and if we don’t dominate that and somebody else does, that’s not a pretty picture. So, I think we really, as a country, need to focus and make that (AI) a priority, because to not be dominant and, particularly, if the adversaries are, then we have problems.”YourStory is at Las Vegas, Nevada, to cover CES 2020 at the invitation of the Consumer Technology AssociationAlso ReadCES 2020: P&G says innovating, operating like a startup to compete with startupsAlso ReadCES 2020: Samsung unveils 'Ballie' robot, AR glasses as it heralds a new decade it calls the ‘Age of Experience’+0 Share on+0 Share onShare onReport an issueAuthorsTenzin Pema…Related TagsJust InstartupsArtificial IntelligenceMark CubanCES 2020Trending NowTrending Stories[Startup Bharat] Starting with Rs 20,000 in his pocket, this 24-year-old’s startup is now making Rs 2.2 Cr, and has clients like OYO and NIITDebolina Biswas[Funding alert] Rage Coffee gets funding from TV actor Rannvijay Singh, Refex Capital, Keiretsu Forum, othersRashi VarshneyMDR waiver: RBI may have to shell out Rs 1,800 Cr to banksPress Trust of IndiaMeet 14 startups selected by Axilor’s accelerator programme for its winter 2019 cohortSujata SangwanDaily CapsuleHere's why Mukesh Ambani is excited about offline-to-online commerce (and other top stories of the day)Read HereLatestUpdates from around the world[Funding alert] Edtech unicorn BYJU’S secures $200M from Tiger Global at $8B valuationTarush Bhalla[Funding alert] News Corp, group firm REA invest another $70M in Elara TechnologiesPress Trust of IndiaHow to start a real estate business with zero investment Venkata RamanaAmazon India begins the year on a plastic-free note, eliminates single-use plasticDebolina BiswasIndia needs 6.3pc labour productivity growth to attain 8pc hike in GDP: Ind-RaPress Trust of India[Funding alert] FabAlley raises Rs 8 Cr venture debt from Trifecta CapitalPress Trust of IndiaSign up for our Daily NewsletterI AM INOur Partner EventsHustle across IndiaTue Oct 08 2019She Builds Tech Mentorship ProgramVijayawadaTue Nov 19 2019ZoholicsMumbaiThu Jan 09 2020GIPC 2020New DelhiThu Feb 13 2020Future of Women 2020BangaloreSee all Partner EventsDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. 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CES 2020: Mark Cuban's message to entrepreneurs
CES 2020: Mark Cubans message entrepreneurs learn, invest AI risk dinosaur YourStoryAwardsHerStorySocialStorySMBStoryYourStoryTVMoreAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduYourStoryAwardsHerStorySocialStorySMBStoryYourStoryTVMoreLanguageIn DepthCES 2020: Mark Cubans message entrepreneurs learn, invest AI risk dinosaurMark Cuban bullish artificial intelligence AI technology investing startups leverage AI create worldchanging solutions, serial entrepreneur Shark Tank investor said CES 2020 event. By Tenzin Pema9th Jan 20200 Share on0 Share onShare onInvestor Mark Cuban emphatic message entrepreneurs, businesses, government invest artificial intelligence AI technology risk dinosaur soon.Speaking CES 2020 event, worlds influential annual consumer technology conference, Las Vegas, Nevada, serial entrepreneur Shark Tank investor voiced passion things AIrelated, adding betting big AI investing startups businesses leverage AI innovate create meaningful, worldchanging impact.In terms I investing AI. Period. End story, told roomful consumer industry delegates CES, annual technology conference hosted produced Consumer Technology Association.Varietycoeditorinchief Andrew Wallenstein Shark Tank investor Mark Cuban CES 2020 consumer technology summit Las Vegas, NevadaMark Cuban emphasised need US government involved developing AI technology supporting use, saying national priority akin need invest stay ahead space mission 1950s.This AI new space mission. We really, really, really, really, really, really, need invest it. We do. If dont cataclysmic. Literally, Cuban emphasised.The billionaire invested healthtech startups Eon Health Genetesis leverage AI technology stressed need entrepreneurs businesses understand AI technology include strategic longterm plans order stay relevant years come.If entrepreneurs business world dont know AI, youre equivalent somebody 1999 saying, Yeah, Im sure internet thing okay, I dont shit. Its thing, said.Also ReadCES 2020: From Apple Ivanka Trump 5G, AI, robotics heres whats store annual tech bonanzaGoing forward, world quickly defined AI haves AI havenots, said Mark Cuban, admitted hes taking tutorials classes artificial intelligence machine learning AWS Coursera better understand technology. If want relevant business understand discussion AI, dinosaur quickly. Theres going AI haves AI havenots, AI havenot, rip computers office throw away phones, thats impactful be, added.Still, challenges integrating AI technology, small companies finding hardest unlike big tech majors like Google, Amazon, Facebook invest billions dollars AI trial error understand works doesnt work, Mark Cuban said.Then underneath companies tech behemoths multibilliondollar companies. Those companies challenges AI too. AI hard. It hard do. You dont know data do. You dont know outcomes correct. There uncertainties. But harder small companies, noted.But challenges aside, imperative governments businesses understanding integrating AI technology priority, said owner NBAs Dallas Mavericks.Not Elon Musk roboticlike dexterity, batteries days instead hours, processors 100X now, going discussing red pill blue pill, said, referring popular The Matrix movieinspired meme represents choice red pill know unpleasant truths reality blue pill live ignorance illusion reality.Were going talking military weaponry thats going driven robotics AI, dont dominate somebody does, thats pretty picture. So, I think really, country, need focus AI priority, dominant and, particularly, adversaries are, problems.YourStory Las Vegas, Nevada, cover CES 2020 invitation Consumer Technology AssociationAlso ReadCES 2020: PG says innovating, operating like startup compete startupsAlso ReadCES 2020: Samsung unveils Ballie robot, AR glasses heralds new decade calls Age Experience0 Share on0 Share onShare onReport issueAuthorsTenzin PemaRelated TagsJust InstartupsArtificial IntelligenceMark CubanCES 2020Trending NowTrending Stories[Startup Bharat] Starting Rs 20,000 pocket, 24yearolds startup making Rs 2.2 Cr, clients like OYO NIITDebolina Biswas[Funding alert] Rage Coffee gets funding TV actor Rannvijay Singh, Refex Capital, Keiretsu Forum, othersRashi VarshneyMDR waiver: RBI shell Rs 1,800 Cr banksPress Trust IndiaMeet 14 startups selected Axilors accelerator programme winter 2019 cohortSujata SangwanDaily CapsuleHeres Mukesh Ambani excited offlinetoonline commerce stories dayRead HereLatestUpdates world[Funding alert] Edtech unicorn BYJUS secures 200M Tiger Global 8B valuationTarush Bhalla[Funding alert] News Corp, group firm REA invest 70M Elara TechnologiesPress Trust IndiaHow start real estate business zero investment Venkata RamanaAmazon India begins year plasticfree note, eliminates singleuse plasticDebolina BiswasIndia needs 6.3pc labour productivity growth attain 8pc hike GDP: IndRaPress Trust India[Funding alert] FabAlley raises Rs 8 Cr venture debt Trifecta CapitalPress Trust IndiaSign Daily NewsletterI AM INOur Partner EventsHustle IndiaTue Oct 08 2019She Builds Tech Mentorship ProgramVijayawadaTue Nov 19 2019ZoholicsMumbaiThu Jan 09 2020GIPC 2020New DelhiThu Feb 13 2020Future Women 2020BangaloreSee Partner EventsDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. 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Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations in Technology, 2020-2026 – 3w Market News Reports
Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations in Technology, 2020-2026 – 3w Market News Reports Contact Us About Us 3w Market News Reports 3rd Market Reports and Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal NewsEnterprise Artificial Intelligence Market Analysis, Reliability And Innovations in Technology, 2020-2026 Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations in Technology, 2020-2026 Posted On: May 30, 2020 Posted By: [email protected] Comments: 0 The Enterprise Artificial Intelligence market report [6 Years Forecast 2020-2026] focuses on the COVID19 Outbreak Impact analysis of key points influencing the growth of the market. Providing info like market competitive situation, product scope, market overview, opportunities, driving force and market risks. Profile the Top Key Players of Enterprise Artificial Intelligence, with sales, revenue and global market share of Enterprise Artificial Intelligence are analyzed emphatically by landscape contrast and speak to info. Upstream raw materials and instrumentation and downstream demand analysis is additionally administrated. The Enterprise Artificial Intelligence market business development trends and selling channels square measure analyzed. From a global perspective, It also represents overall industry size by analyzing qualitative insights and historical data. The study encompasses profiles of major companies operating in the global Enterprise Artificial Intelligence market. Key players profiled in the report includes : SAS Institute (U.S.), IBM (U.S.), Microsoft (U.S.), Amazon Web Services (U.S.), Intel (U.S.), Google (U.S.), SAP SE (Germany), Sentinent Technologies (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise (U.S.), Wipro Technologies (India), and among others. Get Free Sample PDF (including COVID19 Impact Analysis, full TOC, Tables and Figures) of Enterprise Artificial Intelligence Market @ https://www.researchmoz.us/enquiry.php?type=S&repid2661802 The Enterprise Artificial Intelligence market report provides a comprehensive analysis of: Industry overview, cost structure analysis, technical data and competitive analysis, topmost players analysis, development trend analysis, overall market overview, regional market analysis, consumers analysis and marketing type analysis. Scope of Enterprise Artificial Intelligence Market:  The global Enterprise Artificial Intelligence market is valued at million US$ in 2019 and will reach million US$ by the end of 2026, growing at a CAGR of during 2020-2026. The objectives of this study are to define, segment, and project the size of the Enterprise Artificial Intelligence market based on company, product type, application and key regions. This report studies the global market size of Enterprise Artificial Intelligence in key regions like North America, Europe, Asia Pacific, Central & South America and Middle East & Africa, focuses on the consumption of Enterprise Artificial Intelligence in these regions. This research report categorizes the global Enterprise Artificial Intelligence market by players/brands, region, type and application. This report also studies the global market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels, distributors, customers, research findings & conclusion, appendix & data source and Porter’s Five Forces Analysis. The end users/applications and product categories analysis: On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate for each application. Retail Medical Insurance Automobile Industry Aerospace On the basis of product, this report displays the sales volume, revenue (Million USD), product price, market share and growth rate of each type. Business Intelligence Customer Management Marketing Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.researchmoz.us/enquiry.php?type=E&repid2661802 (*Fill the form and our sales representative will get back to you for assistance) Enterprise Artificial Intelligence Market – The Regional analysis covers: North America (U.S. and Canada) Latin America (Mexico, Brazil, Peru, Chile, and others) Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg) Eastern Europe (Poland and Russia) Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand) Middle East and Africa (GCC, Southern Africa, and North Africa) Key Takeaways and Reasons To Buy Enterprise Artificial Intelligence Market Report: Extensive analysis of market trends During 2020-2026 to identify growth opportunities and market developments. Winning strategies of key drivers that are helping them consolidate their position in the Enterprise Artificial Intelligence market. Trends in the Enterprise Artificial Intelligence market that are influencing key players’ business strategies. Comparative analysis of various applications, wherein Enterprise Artificial Intelligence are utilized. Key factors that create opportunities in the Enterprise Artificial Intelligence market at global, regional, and country levels. Key strategies for market players to improve the penetration of Enterprise Artificial Intelligences in developing countries. Comprehensive analysis with respect to investments and regulatory scenario that are likely to impact the outlook and forecast of the global Enterprise Artificial Intelligence market between 2020-2026. Detailed competition landscape of key players operating in the Enterprise Artificial Intelligence market to help understand the competition level. Demand-supply scenario of the Enterprise Artificial Intelligence market. Porter’s Five Forces Analysis to highlight the power of buyers and suppliers. And Many More…. Contact Us: ResearchMoz Mr. Rohit Bhisey, Tel: +1-518-621-2074 USA-Canada Toll Free: 866-997-4948 Email: [email protected] Follow us on LinkedIn @ http://bit.ly/2RtaFUo Follow me on : https://marketnews-24.blogspot.com/ China Enterprise Artificial Intelligence Market GrowthEnterprise Artificial IntelligenceEnterprise Artificial Intelligence MarketEnterprise Artificial Intelligence Market ResearchEurope Enterprise Artificial Intelligence Market TrendsGlobal Enterprise Artificial Intelligence MarketImpact of COVID-19 on Enterprise Artificial IntelligenceUK Enterprise Artificial Intelligence Market StudyUS Enterprise Artificial Intelligence Market CAGR Post navigation Prev PostNext Post Recent Posts (2020-2026) Paving Grade Bitumen Market: Business Size| Strategies| Opportunities| Future Trends| Top Key Players| Market Share and Global Analysis by Forecast Smart Card Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025 Coronavirus (COVID-19) Impact On Global Train Contactor Market 2020 Analysis By Top Key Players | ABB, Schaltbau, Sécheron Hasler Group, Schneider Electric, Alstom, Telema spa 2020 Current trends in Lithium-ion Battery Anode Active Material Market Size, Share, Industry Trends, Growth Insight, Share, Competitive Analysis, Statistics, Regional, And Industry Forecast Outboard Engine Market Analysis, Size, Regional Outlook, Competitive Strategies and Forecasts to 2025 Archives May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 Categories Business Opportunity Emerging Trends Global News Growth Prospects Industry Industry Analytics Industry Reports Lifestyle Market Market Research News Reports Satellite Sections Space Meta Log in Entries RSS Comments RSS WordPress.org 3w Market News Reports by Everestthemes
Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations in Technology, 2020-2026
Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations Technology, 20202026 3w Market News Reports Us 3w Market News Reports 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal NewsEnterprise Artificial Intelligence Market Analysis, Reliability And Innovations Technology, 20202026 Enterprise Artificial Intelligence Market Analysis, Reliability And Innovations Technology, 20202026 Posted On: May 30, 2020 Posted By: [emailprotected] Comments: 0 The Enterprise Artificial Intelligence market report [6 Years Forecast 20202026] focuses COVID19 Outbreak Impact analysis key points influencing growth market. Providing info like market competitive situation, product scope, market overview, opportunities, driving force market risks. Profile Top Key Players Enterprise Artificial Intelligence, sales, revenue global market share Enterprise Artificial Intelligence analyzed emphatically landscape contrast speak info. Upstream raw materials instrumentation downstream demand analysis additionally administrated. The Enterprise Artificial Intelligence market business development trends selling channels square measure analyzed. From global perspective, It represents overall industry size analyzing qualitative insights historical data. The study encompasses profiles major companies operating global Enterprise Artificial Intelligence market. Key players profiled report includes : SAS Institute U.S., IBM U.S., Microsoft U.S., Amazon Web Services U.S., Intel U.S., Google U.S., SAP SE Germany, Sentinent Technologies U.S., Oracle Corporation U.S., Hewlett Packard Enterprise U.S., Wipro Technologies India, others. Get Free Sample PDF including COVID19 Impact Analysis, TOC, Tables Figures Enterprise Artificial Intelligence Market @ The Enterprise Artificial Intelligence market report provides comprehensive analysis of:Industry overview, cost structure analysis, technical data competitive analysis, topmost players analysis, development trend analysis, overall market overview, regional market analysis, consumers analysis marketing type analysis. Scope Enterprise Artificial Intelligence Market: The global Enterprise Artificial Intelligence market valued million US 2019 reach million US end 2026, growing CAGR 20202026. The objectives study define, segment, project size Enterprise Artificial Intelligence market based company, product type, application key regions. This report studies global market size Enterprise Artificial Intelligence key regions like North America, Europe, Asia Pacific, Central South America Middle East Africa, focuses consumption Enterprise Artificial Intelligence regions. This research report categorizes global Enterprise Artificial Intelligence market playersbrands, region, type application. This report studies global market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities challenges, sales channels, distributors, customers, research findings conclusion, appendix data source Porters Five Forces Analysis. The end usersapplications product categories analysis: On basis end usersapplications,this report focuses status outlook major applicationsend users, sales volume, market share growth rate foreach application. Retail Medical Insurance Automobile Industry Aerospace On basis product,this report displays sales volume, revenue Million USD, product price, market share growth rate ofeach type. Business Intelligence Customer Management Marketing Do You Have Any Query Or Specific Requirement? Ask Our Industry [emailprotected] Fill form sales representative assistance Enterprise Artificial Intelligence Market The Regional analysis covers: North America U.S. Canada Latin America Mexico, Brazil, Peru, Chile, Western Europe Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, Luxembourg Eastern Europe Poland Russia Asia Pacific China, India, Japan, ASEAN, Australia, New Zealand Middle East Africa GCC, Southern Africa, North Africa Key Takeaways Reasons To Buy Enterprise Artificial Intelligence Market Report: Extensive analysis market trends During 20202026 identify growth opportunities market developments. Winning strategies key drivers helping consolidate position Enterprise Artificial Intelligence market. Trends Enterprise Artificial Intelligence market influencing key players business strategies. Comparative analysis applications, Enterprise Artificial Intelligence utilized. Key factors create opportunities Enterprise Artificial Intelligence market global, regional, country levels. Key strategies market players improve penetration Enterprise Artificial Intelligences developing countries. Comprehensive analysis respect investments regulatory scenario likely impact outlook forecast global Enterprise Artificial Intelligence market 20202026. Detailed competition landscape key players operating Enterprise Artificial Intelligence market help understand competition level. Demandsupply scenario Enterprise Artificial Intelligence market. Porters Five Forces Analysis highlight power buyers suppliers. And Many More. 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https://www.prnewswire.com:443/news-releases/synopsys-to-host-panel-on-ai-for-chip-design-at-ai-hardware-summit-2020-301138755.html
2020-09-28T00:00:00
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Synopsys to Host Panel on AI for Chip Design at AI Hardware Summit 2020
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Sep 28, 2020, 09:05 ET Share this article MOUNTAIN VIEW, Calif., Sept. 28, 2020 /PRNewswire/ --Synopsys, Inc. (Nasdaq: SNPS) today announced that Arun Venkatachar, VP of AI and Central Engineering, will participate in a panel discussion with participants from Intel and Google at the 2020 AI Hardware Summit on the topic of AI and whether it can revolutionize the way chips are designed today. What: AI Hardware Summit, a virtual event When: Tuesday, September 29 at 11 a.m. PacificPanel Details: Is AI the Next Killer App in Silicon Design? Hardware design cycles can be long and expensive. AI has the potential to lower costs and produce superior products, and the journey down this path of innovation in this space is only just beginning. Register at: https://www.synopsys.com/ai/ai-hardware-summit-2020-us.html#sept29 In addition to hosting the panel, Synopsys will also host a roundtable discussion on September 30 at 10:15 a.m. Pacific, led by Stelios Diamantidis, director of AI Products & Strategy, to answer questions and share more technical insights on the topic of AI in chip design. The AI Hardware Summit is the predominant leadership forum for AI hardware, providing unique perspectives from industry luminaries such as Turing Award Winner David Patterson from Google, and venture capital pathfinder and computer hardware industry veteran, Vinod Khosla, the founder of Khosla Ventures. Attendees will hear about recent product launches and deep-dives from C-level executives in the AI hardware industry, covering topics from AI and machine learning to model standardization and interoperability. As part of Synopsys' sponsorship for the event, please find this webinar on emerging neural networks driving IP innovation. About Synopsys Synopsys, Inc. (Nasdaq: SNPS) is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software security and quality solutions. Whether you're a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing applications that require the highest security and quality, Synopsys has the solutions needed to deliver innovative, high-quality, secure products. Learn more at https://www.synopsys.com/. Editorial Contacts: Simone SouzaSynopsys, Inc.650-584-6454[email protected]  SOURCE Synopsys, Inc. Related Links http://www.synopsys.com × Modal title Also from this source Synopsys and GLOBALFOUNDRIES Collaborate to Expand Fusion... 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Synopsys to Host Panel on AI for Chip Design at AI Hardware Summit 2020
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Log In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Synopsys Host Panel AI Chip Design AI Hardware Summit 2020 Moderated Industry Analyst Karl Freund Moor Insights News provided Synopsys, . Sep 28, 2020, 09:05 ET Share article MOUNTAIN VIEW, Calif., Sept. 28, 2020 PRNewswire Synopsys, . Nasdaq: SNPS today announced thatArun Venkatachar, VP AI Central Engineering, participate panel discussion participants Intel Google 2020 AI Hardware Summit topic AI revolutionize way chips designed today. What:AI Hardware Summit, virtual event When:Tuesday, September 29 11 a.m. PacificPanel Details: Is AI Next Killer App Silicon Design? Hardware design cycles long expensive. AI potential lower costs produce superior products, journey path innovation space beginning. at: In addition hosting panel, Synopsys host roundtable discussion September 30 10:15 a.m. Pacific, led Stelios Diamantidis, director AI Products Strategy, answer questions share technical insights topic AI chip design. The AI Hardware Summit predominant leadership forum AI hardware, providing unique perspectives industry luminaries Turing Award Winner David Patterson Google, venture capital pathfinder hardware industry veteran, Vinod Khosla, founder Khosla Ventures. Attendees hear recent product launches deepdives Clevel executives AI hardware industry, covering topics AI machine learning model standardization interoperability. As Synopsys sponsorship event, webinar emerging neural networks driving IP innovation. About Synopsys Synopsys, . Nasdaq: SNPS Silicon Software partner innovative companies developing electronic products software applications rely day. As worlds 15th largest software company, Synopsys long history global leader electronic design automation EDA semiconductor IP growing leadership software security quality solutions. Whether youre systemonchip SoC designer creating advanced semiconductors, software developer writing applications require highest security quality, Synopsys solutions needed deliver innovative, highquality, secure products. Learn Editorial s: Simone SouzaSynopsys, .6505846454[emailprotected] SOURCE Synopsys, . Related Links Modal title Also source Synopsys GLOBALFOUNDRIES Collaborate Expand Fusion... Synopsys GLOBALFOUNDRIES Collaborate Develop Broad... 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"heating", "ventilation", "airconditioning", "machinery", "machine", "tools", "metalworking", "metallurgy", "mining", "mining", "metals", "paper", "forest", "products", "containers", "precious", "metals", "textiles", "tobacco", "services", "mobile", "entertainment", "networks", "peripherals", "equipment", "industry", "voip", "voice", "internet", "protocol", "wireless", "communications", "lifestyle", "health", "consumer", "products", "retail", "consumer", "products", "retail", "consumer", "products", "retail", "overviewanimals", "pets", "beers", "wines", "spirits", "beverages", "bridal", "services", "cannabis", "cosmetics", "personal", "care", "fashion", "food", "beverages", "furniture", "furnishings", "home", "improvement", "household", "consumer", "cosmetics", "household", "products", "jewelry", "nonalcoholic", "beverages", "office", "products", "organic", "food", "product", "recalls", "restaurants", "retail", "supermarkets", "toys", "entertainment", "media", "entertainment", "media", "advertising", "entertainment", "media", "overviewart", "books", "entertainment", "film", "motion", "picture", "magazines", "music", "publishing", "information", "services", "radio", "podcast", "television", "health", "health", "health", "biotechnology", "clinical", "trials", "medical", "discoveries", "dentistry", "fda", "approval", "fitnesswellness", "health", "care", "hospitals", "health", "insurance", "infection", "control", "international", "medical", "approval", "medical", "equipment", "medical", "pharmaceuticals", "mental", "health", "pharmaceuticals", "supplementary", "medicine", "sports", "sports", "sports", "overviewgeneral", "sports", "outdoors", "camping", "hiking", "sporting", "events", "sports", "equipment", "accessories", "travel", "travel", "travel", "parks", "tourist", "attractions", "gambling", "casinos", "hotels", "resorts", "leisure", "tourism", "outdoors", "camping", "hiking", "passenger", "aviation", "travel", "industry", "policy", "public", "policy", "public", "policy", "public", "advocacy", "group", "opinion", "policy", "public", "overviewanimal", "welfare", "congressional", "presidential", "campaigns", "corporate", "social", "responsibility", "domestic", "policy", "economic", "news", "trends", "analysis", "education", "environmental", "european", "government", "fda", "approval", "federal", "state", "legislation", "federal", "executive", "branch", "agency", "foreign", "policy", "international", "affairs", "homeland", "security", "labor", "union", "legal", "issues", "natural", "disasters", "profit", "patent", "law", "public", "safety", "trade", "policy", "state", "policy", "people", "culture", "people", "culture", "people", "culture", "aboriginal", "nations", "native", "american", "people", "culture", "overviewafrican", "american", "asian", "american", "children", "hispanic", "lesbian", "gay", "bisexual", "mens", "people", "disabilities", "religion", "senior", "citizens", "veterans", "women", "inlanguage", "news", "espaol", "portugus", 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https://3wnews.org/uncategorised/383984/54-5-ai-in-healthcare-market-is-booming-worldwide-intel-corporation-nvidia-corporation-google-inc-ibm-corporation/
2020-03-24T00:00:00
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+54.5%, AI in Healthcare Market Is Booming Worldwide | Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation – 3rd Watch News
+54.5%, AI in Healthcare Market Is Booming Worldwide | Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation – 3rd Watch News Contact Us About Us 3rd Watch News 3rd Market Reports and Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal News+54.5%, AI in Healthcare Market Is Booming Worldwide | Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation +54.5%, AI in Healthcare Market Is Booming Worldwide | Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation Posted On: March 24, 2020 Posted By: reportocean Comments: 0 Global AI in Healthcare Market research report is an in-depth study of market size with data Tables, Bar & Pie Charts, and Graphs & Statistics which helps easy to understand detailed breakdown of market region wise. The Research report presents a complete valuation of the Market and contains a forthcoming trend, current growth factors, attentive views, facts, and industry – validated market data. The research study provides estimates for Global AI in Healthcare Forecast till 2025. Some are the key players taken under analysis for these studies are Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Next IT Corp and others. Global Artificial Intelligence in Healthcare Market valued approximately USD 650 million in 2016 is anticipated to grow with a healthy growth rate of more than 54.5% over the forecast period 2017-2025. Healthcare organizations are investing heavily on information technology and are actively looking forward to utilized big data capabilities for effective functioning. Artificial Intelligence in healthcare is expected to bring revolutionary changes in terms of reduction in terms of healthcare cost reduction and quality treatment. (Check Our Exclusive Offer: Ask for Discount to our Representative) https://www.reportocean.com/industry-verticals/sample-request?report_id=4570 The qualitative research report on ‘AI in Healthcare market’ covering fundamental strategic developments of the market, key market features, including revenue, capacity, price, capacity utilization rate, production rate, gross, production, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition to that, the study provides a comprehensive analysis of the key market factors and their latest trends, along with relevant market segments and sub-segments. The AI in Healthcare Market report mainly includes the major company profiles with their annual sales & revenue, business strategies, company major products, profits, industry growth parameters, industry contribution on a global and regional level. This report covers the global AI in Healthcare Market performance in terms of value and sales volume contribution. In-depth information on manufacturer share, business revenue, price, and gross profit & margin, product figure, product advantage and disadvantage comparison & many more for business intelligence. The AI in Healthcare Market research report covers the present scenario and the growth prospects of the global AI in Healthcare Market industry. The report enlists several important factors, starting from the basics to advanced Market intelligence which plays a crucial part in strategizing. Geographical Breakdown based on the growth rate, macroeconomic parameters, consumer buying patterns, and Market demand and supply scenarios. The report provides an in-depth insight into the global AI in Healthcare Market industry covering all important parameters that cover Market Challenge, Driver, and Key Economic Indicators of Countries, Business Revenue Share, Distribution by Region, Downstream Consumer, and Cost Structure & Forecast. Essential Features & key highlights of the report: Key players: Intel Corporation, NVIDIA Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Next IT Corp and others. Market Segmentation: Components: § Hardware § Software § Services Technology: § Deep Learning § Querying Method § Natural Language Processing § Context Aware Processing Application: § Patient Data and Risk Analysis § Lifestyle Management and Monitoring § Precision Medicine § In-Patient Care and Hospital Management § Medical Imaging and Diagnosis § Drug Discovery § Virtual Assistant § Wearables § Research End-User: § Providers § Pharmaceuticals and Biotechnology § Accountable Care Organization and Managed Care Organization § Patients § Payers Geographical Breakdown: Regional and country level analysis covering North America, Europe, China & Japan Market Segment by Regions 2013 2017 2022 Share (%) CAGR (2019-2025) United States xx xx xx xx% xx% EU xx xx xx xx% xx% Japan xx xx xx xx% xx% China xx xx xx xx% xx% India xx xx xx xx% xx% Southeast Asia xx xx xx xx% xx% Total xx xx xx xx% xx%   Click to get Global AI in Healthcare Market Research Sample PDF Copy Here https://www.reportocean.com/industry-verticals/sample-request?report_id=4570     Furthermore, the years considered for the study are as follows: Historical year – 2013-2017 | Base year – 2018 | Forecast period** – 2019 to 2025 [** unless otherwise stated] The report provides a basic overview of the AI in Healthcare industry including definitions, classifications, applications, and industry chain structure. And development policies and plans are discussed as well as manufacturing processes and capital expenditures. Further, it focuses on global major leading industry players with information such as company profiles, product picture, and specifications, sales, market share and contact information. What’s more, the AI in Healthcare industry development trends and marketing channels are analyzed. The study is organized with the help of primary and secondary data collection including valuable information from key vendors and participants in the industry. It includes historical data from 2012 to 2017 and projected forecasts till 2025 which makes the research study a valuable resource for industry executives, marketing, sales and product managers, consultants, analysts, and other people looking for key industry related data in readily accessible documents with easy to analyze visuals, graphs and tables. The report answers future development trend of AI in Healthcare based on of stating current situation of the industry in 2019 to assist manufacturers and investment organization to better analyze the development course of AI in Healthcare Market. Buy Full Copy Global AI in Healthcare Market Report @ https://www.reportocean.com/industry-verticals/sample-request?report_id=4570 The report covers the following chapters Market Characteristics – The market characteristics section of the report defines and explains the AI in Healthcare market. This chapter includes different goods and services covered in the report, basic definitions and market supply chain analysis. • Global Market Size And Growth – This section contains the global historic (2013-2017) and forecast (2019-2025) market value, and drivers and restraints that support and control the growth of the market in the historic and forecast period. • Trends And Strategies – This chapter includes some of the major trends shaping the global AI in Healthcare market by segment. This section highlights likely future developments in the market and suggests approaches companies can take to exploit these opportunities. • PESTEL Analysis – This chapter covers the political, economic, social, technological, environmental and legal factors affecting a market. • Customer Information – This section includes customer surveys in the AI in Healthcare industry • Global Market Segmentation – This section contains global segmentation of the AI in Healthcare market. Segmentation types include by region and by country segmentation of the AI in Healthcare market. • Global Macro Comparison – The global AI in Healthcare market comparison with macro-economic factors gives the AI in Healthcare market size, percentage of GDP, and average AI in Healthcare market expenditure. • Macro Comparison By Country – The AI in Healthcare market comparison with macro-economic factors across countries gives the AI in Healthcare market size, percentage of GDP, by country and per capita average AI in Healthcare market expenditure. • Region/Country Market Size And Growth – This section contains the region’s market size (2017), historic (2013-2017) and forecast (2019-2025) market value, and growth. This report includes information on all the regions (Asia Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa) and major countries within each region. • Competitive Landscape – This section covers details on the competitive landscape of the global AI in Healthcare market, estimated market shares and company profiles for the leading players. • Key Mergers And Acquisitions – This chapter gives the information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years. • Opportunities And Strategies – This section gives information on growth opportunities across countries, segments and strategies to be followed in those markets. It gives an understanding of where there is significant business to be gained by competitors in the next five years. ……..and view more in complete table of Contents Check Complete Report Details @ https://www.reportocean.com/industry-verticals/sample-request?report_id=4570 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 Report Ocean: We are the best market research reports provider in the industry. Report Ocean believe in providing the quality reports to clients to meet the top line and bottom line goals which will boost your market share in today’s competitive environment. Report Ocean is “one-stop solution” for individuals, organizations, and industries that are looking for innovative market research reports. Get in Touch with Us: Report Ocean Email: [email protected] Address: 500 N Michigan Ave, Suite 600, Chicago, IIIinois 60611 – UNITED STATES Tel: +1 888 212 3539 (US – TOLL FREE) Website: https://www.reportocean.com/ Blog: https://reportoceanblog.com/ AI in Healthcare Market Post navigation Prev PostNext Post Leave a Reply Cancel reply Your email address will not be published. Required fields are marked *Comment Name * Email * Website Recent Posts Global Virtual Customer Premise Equipment (CPE) Market Report 2020 Nonprofit Fundraising Software Market Trends, Key Players, Overview, Competitive Breakdown and 2026 Regional Forecast LIMS Software Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Eaton, Nippon Accumulator, Parker Hannifin, Bosch Rexroth, Technetics, etc. Global User Authentication Solution Market Report 2020 IoT Workers Market Upcoming Growth By Top Key Players: Honeywell International, Intel, Accenture Recent CommentsKelapek on CARDIOLOGY INFORMATION SYSTEM (CIS) MARKET TRENDS, MARKET SHARE, INDUSTRY SIZE, GROWTH, SALES, OPPORTUNITIES, ANALYSIS AND FORECAST TO 2028Archives March 2020 February 2020 January 2020 December 2019 Categories Business Opportunity Emerging Trends Global News Growth Prospects Industry Industry Analytics Industry Reports Lifestyle Market Market Research News Reports Satellite Sections Space Meta Log in Entries RSS Comments RSS WordPress.org 3rd Watch News by Everestthemes
+54.5%, AI in Healthcare Market Is Booming Worldwide
54.5, AI Healthcare Market Is Booming Worldwide Intel Corporation, NVIDIA Corporation, Google ., IBM Corporation 3rd Watch News Us 3rd Watch News 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeGlobal News54.5, AI Healthcare Market Is Booming Worldwide Intel Corporation, NVIDIA Corporation, Google ., IBM Corporation 54.5, AI Healthcare Market Is Booming Worldwide Intel Corporation, NVIDIA Corporation, Google ., IBM Corporation Posted On: March 24, 2020 Posted By: reportocean Comments: 0 Global AI Healthcare Market research report indepth study market size data Tables, Bar Pie Charts, Graphs Statistics helps easy understand detailed breakdown market region wise. The Research report presents complete valuation Market contains forthcoming trend, current growth factors, attentive views, facts, industry validated market data. The research study provides estimates Global AI Healthcare Forecast till 2025. Some key players taken analysis studies Intel Corporation, NVIDIA Corporation, Google ., IBM Corporation, Microsoft Corporation, General Vision, ., Next IT Corp others. Global Artificial Intelligence Healthcare Market valued approximately USD 650 million 2016 anticipated grow healthy growth rate 54.5 forecast period 20172025. Healthcare organizations investing heavily information technology actively looking forward utilized big data capabilities effective functioning. Artificial Intelligence healthcare expected bring revolutionary changes terms reduction terms healthcare cost reduction quality treatment. Check Our Exclusive Offer: Ask Discount Representative The qualitative research report AI Healthcare market covering fundamental strategic developments market, key market features, including revenue, capacity, price, capacity utilization rate, production rate, gross, production, consumption, importexport, supplydemand, cost, market share, CAGR, gross margin. In addition that, study provides comprehensive analysis key market factors latest trends, relevant market segments subsegments. The AI Healthcare Market report mainly includes major company profiles annual sales revenue, business strategies, company major products, profits, industry growth parameters, industry contribution global regional level. This report covers global AI Healthcare Market performance terms value sales volume contribution. Indepth information manufacturer share, business revenue, price, gross profit margin, product figure, product advantage disadvantage comparison business intelligence. The AI Healthcare Market research report covers present scenario growth prospects global AI Healthcare Market industry. The report enlists important factors, starting basics advanced Market intelligence plays crucial strategizing. Geographical Breakdown based growth rate, macroeconomic parameters, consumer buying patterns, Market demand supply scenarios. The report provides indepth insight global AI Healthcare Market industry covering important parameters cover Market Challenge, Driver, Key Economic Indicators Countries, Business Revenue Share, Distribution Region, Downstream Consumer, Cost Structure Forecast. Essential Features key highlights report: Key players: Intel Corporation, NVIDIA Corporation, Google ., IBM Corporation, Microsoft Corporation, General Vision, ., Next IT Corp others. Market Segmentation: Components: Hardware Software Services Technology: Deep Learning Querying Method Natural Language Processing Context Aware Processing Application: Patient Data Risk Analysis Lifestyle Management Monitoring Precision Medicine InPatient Care Hospital Management Medical Imaging Diagnosis Drug Discovery Virtual Assistant Wearables Research EndUser: Providers Pharmaceuticals Biotechnology Accountable Care Organization Managed Care Organization Patients Payers Geographical Breakdown: Regional country level analysis covering North America, Europe, China Japan Market Segment Regions 2013 2017 2022 Share CAGR 20192025 United States xx xx xx xx xx EU xx xx xx xx xx Japan xx xx xx xx xx China xx xx xx xx xx India xx xx xx xx xx Southeast Asia xx xx xx xx xx Total xx xx xx xx xx Click Global AI Healthcare Market Research Sample PDF Copy Here Furthermore, years considered study follows: Historical year 20132017 Base year 2018 Forecast period 2019 2025 [ stated] The report provides basic overview AI Healthcare industry including definitions, classifications, applications, industry chain structure. And development policies plans discussed manufacturing processes capital expenditures. Further, focuses global major leading industry players information company profiles, product picture, specifications, sales, market share contact information. Whats more, AI Healthcare industry development trends marketing channels analyzed. The study organized help primary secondary data collection including valuable information key vendors participants industry. It includes historical data 2012 2017 projected forecasts till 2025 makes research study valuable resource industry executives, marketing, sales product managers, consultants, analysts, people looking key industry related data readily accessible documents easy analyze visuals, graphs tables. The report answers future development trend AI Healthcare based stating current situation industry 2019 assist manufacturers investment organization better analyze development course AI Healthcare Market. Buy Full Copy Global AI Healthcare Market Report @ The report covers following chapters Market Characteristics The market characteristics section report defines explains AI Healthcare market. This chapter includes different goods services covered report, basic definitions market supply chain analysis. Global Market Size And Growth This section contains global historic 20132017 forecast 20192025 market value, drivers restraints support control growth market historic forecast period. Trends And Strategies This chapter includes major trends shaping global AI Healthcare market segment. This section highlights likely future developments market suggests approaches companies exploit opportunities. PESTEL Analysis This chapter covers political, economic, social, technological, environmental legal factors affecting market. Customer Information This section includes customer surveys AI Healthcare industry Global Market Segmentation This section contains global segmentation AI Healthcare market. Segmentation types include region country segmentation AI Healthcare market. Global Macro Comparison The global AI Healthcare market comparison macroeconomic factors gives AI Healthcare market size, percentage GDP, average AI Healthcare market expenditure. Macro Comparison By Country The AI Healthcare market comparison macroeconomic factors countries gives AI Healthcare market size, percentage GDP, country capita average AI Healthcare market expenditure. RegionCountry Market Size And Growth This section contains regions market size 2017, historic 20132017 forecast 20192025 market value, growth. This report includes information regions Asia Pacific, Western Europe, Eastern Europe, North America, South America, Middle East Africa major countries region. Competitive Landscape This section covers details competitive landscape global AI Healthcare market, estimated market shares company profiles leading players. Key Mergers And Acquisitions This chapter gives information recent mergers acquisitions market covered report. This section gives key financial details mergers acquisitions shaped market recent years. Opportunities And Strategies This section gives information growth opportunities countries, segments strategies followed markets. It gives understanding significant business gained competitors years. ..and view complete table Contents Check Complete Report Details @ Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. About Report Ocean: We best market research reports provider industry. Report Ocean believe providing quality reports clients meet line line goals boost market share todays competitive environment. Report Ocean onestop solution individuals, organizations, industries looking innovative market research reports. 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http://www.movies.consumerelectronicsnet.com/lenovo-announces-strategic-partnership-with-sentinelone-enhancing-thinkshield-with-ai-powered-endpoint-security/
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Lenovo Announces Strategic Partnership with SentinelOne, Enhancing ThinkShield with AI Powered Endpoint Security | | Consumer Electronics Net
Lenovo Announces Strategic Partnership with SentinelOne, Enhancing ThinkShield with AI Powered Endpoint Security | | Consumer Electronics Net Skip to content Consumer Electronics Net Primary Menu Consumer Electronics Net Search for: HomeNewsLenovo Announces Strategic Partnership with SentinelOne, Enhancing ThinkShield with AI Powered Endpoint Security News Lenovo Announces Strategic Partnership with SentinelOne, Enhancing ThinkShield with AI Powered Endpoint Security 3 hours ago MORRISVILLE, N.C. & MOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–#ai–Today Lenovo™ (HKSE: 992) (ADR: LNVGY) and SentinelOne, the autonomous cybersecurity platform company, announced a strategic partnership to integrate SentinelOne’s autonomous endpoint protection platform within Lenovo’s ThinkShield security portfolio. Lenovo customers now have the ability to purchase devices with SentinelOne, delivering real-time prevention, ActiveEDR, IoT security, and cloud workload protection powered by patented Behavioral AI. Security by design is the foundation with which Lenovo builds its ThinkShield portfolio, protecting customers with the most secure endpoint solutions. With today’s announcement, SentinelOne is now a core component of Lenovo’s ThinkShield security offerings, empowering workstations, servers, cloud workloads, and IoT devices to autonomously defend themselves in real-time. Its patented AI models live on each device, predicting tomorrow’s attacks today and enabling devices to self-heal from any attack instantaneously. SentinelOne’s Behavioral AI fully replaces antivirus and delivers real-time prevention, detection, response, and hunting against known and never seen before malware strains. Quotes: “With the leading PC market share, Lenovo is the global choice for enterprise computing and datacenter needs” said Tomer Weingarten, CEO and Co-founder, SentinelOne. “They need the very best in protection and visibility as their devices are the front lines in the fight against cybercriminals. We are excited to equip Lenovo with technology to deliver a security advantage, hardening endpoints to autonomously prevent, detect, and respond to modern-day risks and threats without impacting device performance.” “At Lenovo, security begins with design and continues through the supply chain, delivery and the full lifecycle of the device,” said, Christian Teismann, President, Commercial PC and Smart Devices Business, Lenovo. “Partnering with SentinelOne adds another critical layer to our core ThinkShield security offerings, protecting customer endpoint devices from today’s sophisticated cybercriminals and staying ahead of the threat curve.” “The endpoint has increasingly become the preferred vector of cyberattack; this is especially true as digital transformation continues to accelerate where and how work is done. Inherent to our strategy of Smarter Technology for All is secure endpoint solutions. This strategic partnership between Lenovo and SentinelOne means that our enterprise customers can now take advantage of the combined power to deliver industry-leading endpoint protection that leverages true, contextual AI” said Nima Baiati, global director and GM, Cybersecurity Solutions, Intelligent Devices Group, Lenovo. SentinelOne’s solutions are available through Lenovo’s network of global sales and partners today. For more information visit: www.lenovo.com/thinkshield About Lenovo Lenovo (HKSE: 992) (ADR: LNVGY) is a US $50 billion Fortune Global 500 company, with 57,000 employees and operating in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that create a more inclusive, trustworthy and sustainable digital society. By designing, engineering and building the world’s most complete portfolio of smart devices and infrastructure, we’re also leading an Intelligent Transformation to create better experiences and opportunities for millions of customers around the world. To find out more, visit https://www.lenovo.com, follow us on LinkedIn, Facebook, Twitter, YouTube, Instagram, Weibo and read about the latest news via our StoryHub. About SentinelOne SentinelOne is the only cybersecurity solution encompassing AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous platform. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. To learn more visit www.sentinelone.com or follow us at @SentinelOne, on LinkedIn or Facebook. Contacts Adrian Horne Lenovo IDG Global Communications (+33) 6 88 21 98 61 [email protected] Jake Schuster fama PR for SentinelOne (617) 986-5021 [email protected] Continue Reading Previous E Ink Announces Digital Paper Device Loaner Program for Smart Hospital/HealthcareNext Napoleon Selects Ayla Networks to Launch New Connected Products Search for: CategoriesCategories Select Category 360 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles Blu-Ray Book Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing News Phishing Privacy Productivity Raid Retail Review Robotics Security Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VR/AR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday! 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Lenovo Announces Strategic Partnership with SentinelOne, Enhancing ThinkShield with AI Powered Endpoint Security
Lenovo Announces Strategic Partnership SentinelOne, Enhancing ThinkShield AI Powered Endpoint Security Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsLenovo Announces Strategic Partnership SentinelOne, Enhancing ThinkShield AI Powered Endpoint Security News Lenovo Announces Strategic Partnership SentinelOne, Enhancing ThinkShield AI Powered Endpoint Security 3 hours ago MORRISVILLE, N.C. MOUNTAIN VIEW, Calif.BUSINESS WIREaiToday Lenovo HKSE: 992 ADR: LNVGY SentinelOne, autonomous cybersecurity platform company, announced strategic partnership integrate SentinelOnes autonomous endpoint protection platform Lenovos ThinkShield security portfolio. Lenovo customers ability purchase devices SentinelOne, delivering realtime prevention, ActiveEDR, IoT security, cloud workload protection powered patented Behavioral AI. Security design foundation Lenovo builds ThinkShield portfolio, protecting customers secure endpoint solutions. With todays announcement, SentinelOne core component Lenovos ThinkShield security offerings, empowering workstations, servers, cloud workloads, IoT devices autonomously defend realtime. Its patented AI models live device, predicting tomorrows attacks today enabling devices selfheal attack instantaneously. SentinelOnes Behavioral AI fully replaces antivirus delivers realtime prevention, detection, response, hunting known seen malware strains. Quotes: With leading PC market share, Lenovo global choice enterprise computing datacenter needs said Tomer Weingarten, CEO Cofounder, SentinelOne. They need best protection visibility devices lines fight cybercriminals. We excited equip Lenovo technology deliver security advantage, hardening endpoints autonomously prevent, detect, respond modernday risks threats impacting device performance. At Lenovo, security begins design continues supply chain, delivery lifecycle device, said, Christian Teismann, President, Commercial PC Smart Devices Business, Lenovo. Partnering SentinelOne adds critical layer core ThinkShield security offerings, protecting customer endpoint devices todays sophisticated cybercriminals staying ahead threat curve. The endpoint increasingly preferred vector cyberattack; especially true digital transformation continues accelerate work done. Inherent strategy Smarter Technology All secure endpoint solutions. This strategic partnership Lenovo SentinelOne means enterprise customers advantage combined power deliver industryleading endpoint protection leverages true, contextual AI said Nima Baiati, global director GM, Cybersecurity Solutions, Intelligent Devices Group, Lenovo. SentinelOnes solutions available Lenovos network global sales partners today. For information visit: About Lenovo Lenovo HKSE: 992 ADR: LNVGY US 50 billion Fortune Global 500 company, 57,000 employees operating 180 markets world. Focused bold vision deliver smarter technology all, developing worldchanging technologies create inclusive, trustworthy sustainable digital society. By designing, engineering building worlds complete portfolio smart devices infrastructure, leading Intelligent Transformation create better experiences opportunities millions customers world. To more, visit follow LinkedIn, Facebook, Twitter, YouTube, Instagram, Weibo read latest news StoryHub. About SentinelOne SentinelOne cybersecurity solution encompassing AIpowered prevention, detection, response hunting endpoints, containers, cloud workloads, IoT devices single autonomous platform. With SentinelOne, organizations gain transparency happening network machine speed defeat attack, stage threat lifecycle. To learn visit follow LinkedIn Facebook. Adrian Horne Lenovo IDG Global Communications 33 6 88 21 98 61 adrianhorne Jake Schuster fama PR SentinelOne 617 9865021 S1 Continue Reading Previous E Ink Announces Digital Paper Device Loaner Program Smart HospitalHealthcareNext Napoleon Selects Ayla Networks Launch New Connected Products for: CategoriesCategories Select Category 360 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles BluRay Book Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing News Phishing Privacy Productivity Raid Retail Review Robotics Security Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VRAR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday Use code CEN 15 Ewin gaming chairs Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos You missed Consumer Electronics Celebrate 25 Years Classic RTS Franchise With Command Conquer Remastered Collection Origin Steam June 5 41 mins ago News Littelfuse Expands High Voltage Products Electric Vehicle EV Related Applications 41 mins ago News Esri Recognizes Partners Exceptional Achievement 2 hours ago News Level Ex Named Fast Companys List Worlds Most Innovative Companies 2020 2 hours ago News Esri Releases ArcGIS Analytics IoT 2 hours ago Consumer Electronics Net . 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https://newsfinancialanalyst.com/artificial-intelligence-software-global-market-2018-top-key-players-google-baidu-ibm-microsoft-sap-and-forecast-to-2023-2/
2020-02-25T00:00:00
en
Artificial Intelligence Software Global Market 2018 Top Key Players – Google , Baidu, IBM, Microsoft, SAP and Forecast to 2023 – Financial Analyst
Artificial Intelligence Software Global Market 2018 Top Key Players – Google , Baidu, IBM, Microsoft, SAP and Forecast to 2023 – Financial Analyst Skip to content Financial Analyst Business Economy Finance World About Contact Our Team Privacy Policy Artificial Intelligence Software Global Market 2018 Top Key Players – Google , Baidu, IBM, Microsoft, SAP and Forecast to 2023 February 25, 2020 wiseguyreports Finance Comments Off on Artificial Intelligence Software Global Market 2018 Top Key Players – Google , Baidu, IBM, Microsoft, SAP and Forecast to 2023 Global Artificial Intelligence Software Market WiseGuyRerports.com Presents “Global Artificial Intelligence Software Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2023” New Document to its Studies Database. The Report Contain 146 Pages With Detailed Analysis. Description Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Artificial intelligence software is Software that is capable of intelligent behavior. In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception, and knowledge representation. Scope of the Report: This report studies the Artificial Intelligence Software market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence Software market by product type and applications/end industries. Get sample Report @ www.wiseguyreports.com/sample-request/3333590-global-arti… Artificial Intelligence Software is primarily split into: On-Premise and Cloud-based. And On-Premise is the most widely used type which takes up about 83.91% of the global market in 2016. USA is the largest sales region of Artificial Intelligence Software in the world in the past few years. USA market took up about 44.52% the global market in 2016, while Europe was 19.43%. AI and Cloud-based increasingly will be embedded into everyday things such as appliances, speakers and hospital equipment. This phenomenon is closely aligned with the emergence of conversational systems, the expansion of the IoT into a digital mesh and the trend toward digital twins. The global Artificial Intelligence Software market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023. The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions. North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence Software. Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%. Market Segment by Companies, this report covers Google Baidu IBM Microsoft SAP Intel Salesforce Brighterion KITT.AI IFlyTek Megvii Technology Albert Technologies H2O.ai Brainasoft Yseop Ipsoft NanoRep(LogMeIn) Ada Support Astute Solutions IDEAL.com Wipro Market Segment by Regions, regional analysis covers North America (United States, Canada and Mexico) Europe (Germany, France, UK, Russia and Italy) Asia-Pacific (China, Japan, Korea, India and Southeast Asia) South America (Brazil, Argentina, Colombia) Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Market Segment by Type, covers On-Premise Cloud-based Market Segment by Applications, can be divided into Voice Processing Text Processing Image Processing Complete Report Details @ www.wiseguyreports.com/reports/3333590-global-artificial-… Table of Contents -Major Key Points 1 Artificial Intelligence Software Market Overview 1.1 Product Overview and Scope of Artificial Intelligence Software 1.2 Classification of Artificial Intelligence Software by Types 1.2.1 Global Artificial Intelligence Software Revenue Comparison by Types (2017-2023) 1.2.2 Global Artificial Intelligence Software Revenue Market Share by Types in 2017 1.2.3 On-Premise 1.2.4 Cloud-based 1.3 Global Artificial Intelligence Software Market by Application 1.3.1 Global Artificial Intelligence Software Market Size and Market Share Comparison by Applications (2013-2023) 1.3.2 Voice Processing 1.3.3 Text Processing 1.3.4 Image Processing 1.4 Global Artificial Intelligence Software Market by Regions 1.4.1 Global Artificial Intelligence Software Market Size (Million USD) Comparison by Regions (2013-2023) 1.4.1 North America (USA, Canada and Mexico) Artificial Intelligence Software Status and Prospect (2013-2023) 1.4.2 Europe (Germany, France, UK, Russia and Italy) Artificial Intelligence Software Status and Prospect (2013-2023) 1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Artificial Intelligence Software Status and Prospect (2013-2023) 1.4.4 South America (Brazil, Argentina, Colombia) Artificial Intelligence Software Status and Prospect (2013-2023) 1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Artificial Intelligence Software Status and Prospect (2013-2023) 1.5 Global Market Size of Artificial Intelligence Software (2013-2023) 2 Manufacturers Profiles 2.1 Google 2.1.1 Business Overview 2.1.2 Artificial Intelligence Software Type and Applications 2.1.2.1 Product A 2.1.2.2 Product B 2.1.3 Google Artificial Intelligence Software Revenue, Gross Margin and Market Share (2016-2017) 2.2 Baidu 2.2.1 Business Overview 2.2.2 Artificial Intelligence Software Type and Applications 2.2.2.1 Product A 2.2.2.2 Product B 2.2.3 Baidu Artificial Intelligence Software Revenue, Gross Margin and Market Share (2016-2017) 2.3 IBM 2.3.1 Business Overview 2.3.2 Artificial Intelligence Software Type and Applications 2.3.2.1 Product A 2.3.2.2 Product B 2.3.3 IBM Artificial Intelligence Software Revenue, Gross Margin and Market Share (2016-2017) 2.4 Microsoft 2.4.1 Business Overview 2.4.2 Artificial Intelligence Software Type and Applications 2.4.2.1 Product A 2.4.2.2 Product B 2.4.3 Microsoft Artificial Intelligence Software Revenue, Gross Margin and Market Share (2016-2017) 2.5 SAP 2.5.1 Business Overview 2.5.2 Artificial Intelligence Software Type and Applications 2.5.2.1 Product A 2.5.2.2 Product B 2.5.3 SAP Artificial Intelligence Software Revenue, Gross Margin and Market Share (2016-2017) ……..CONTINUED About Us Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, Industry research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports understand how essential statistical surveying information is for your organization or association. Therefore, we have associated with the top publishers and research firms all specialized in specific domains, ensuring you will receive the most reliable and up to date research data available. NORAH TRENT Partner Relations & Marketing Manager [email protected] www.wiseguyreports.com Ph: +1-646-845-9349 (US) Ph: +44 208 133 9349 (UK) wiseguyreports Post Views: 57 Post navigation Previous Post:Oil and Gas Pipes Market 2018 Global Share, Trend, Segmentation, Analysis Industry, Opportunities and Forecast to 2023Next Post:Lupus Therapeutic 2019 Global Market Expected to Grow at CAGR 9.74% and Forecast to 2023 Popular Protective Relay Market 2019 Comprehensive Research, Growth Rate, Key Vendors, Size, Share, Demand and Applications To 2027 Wood Coatings Industry 2019 Global Market Size, Share, Growth, Trends, 10 Company Profiles and 2022 Future Market Analysis Additive Manufacturing Platform Market Quantitative Market Analysis, Current and Future Trends, 2018-2028 Bubble Tea Chain Market Outlook 2019: Global Opportunity and Demand Analysis, Market Forecast -2024 Soil Stabilization Materials Market: Construction Industries Overwhelmingly Apply Bitumens into Researches Software Release Management Tools Market 2019 Industry Growth, Share, Trends, Demand, Analysis and Forecast to 2025 Pressure Pumping Market | Global Growth rate, Application, Key Factors, Demand, Top Companies Players Review and Forecast To 2027 Global Boiling Granules Market Research Report 2019-2025, by Manufacturers, Regions, Types and Applications Global Alcohol-free Beer Market 2019 – Research Methodology, Market Dynamics, Key Players, Segmentation and Forecast 2024 Rapidly Increasing Commercial Vehicles Parc Triggers Demand for Air Springs Components Market Bonded Abrasives Market 2019 Global Industry Analysis by Share, Key Company, Trends, Size, Emerging Technologies, Growth Factors, and Regional Forecast to 2023 Protein Production Market: Global Demand, Growth Analysis, Opportunity and Forecast to 2024 Natural Sweeteners Market to Near USD 40 billion by 2026 end ECG Devices Market: Resting ECG Rises in Popularity; Multi-purpose Devices Leverage Physicians Global Alginate Fiber Market Analysis, Forecast to 2025 || Breakdown Data by Type, Application and Key Regions Financial Newspaper hc Powered by WordPress and Tortuga.
Artificial Intelligence Software Global Market 2018 Top Key Players
Artificial Intelligence Software Global Market 2018 Top Key Players Google , Baidu, IBM, Microsoft, SAP Forecast 2023 Financial Analyst Skip content Financial Analyst Business Economy Finance World About Our Team Artificial Intelligence Software Global Market 2018 Top Key Players Google , Baidu, IBM, Microsoft, SAP Forecast 2023 February 25, 2020 wiseguyreports Finance Comments Off Artificial Intelligence Software Global Market 2018 Top Key Players Google , Baidu, IBM, Microsoft, SAP Forecast 2023 Global Artificial IntelligenceSoftwareMarket Presents Global Artificial Intelligence Software Market 2018 Manufacturers, Countries, Type Application, Forecast 2023 New Document Studies Database. The Report Contain 146 Pages With Detailed Analysis. Description Artificial intelligence AI, machine intelligence, MI intelligence displayed machines, contrast natural intelligence NI displayed humans animals. Artificial intelligence software Software capable intelligent behavior. In creating intelligent software, involves simulating number capabilities, including reasoning, learning, problem solving, perception, knowledge representation. Scope Report: This report studies Artificial Intelligence Software market status outlook Global major regions, angles players, countries, product types end industries; report analyzes players global market, splits Artificial Intelligence Software market product type andapplicationsend industries. Get sample Report @ Artificial Intelligence Software primarily split into: OnPremise andCloudbased. And OnPremise widely type takes 83.91 global market 2016. USA largest sales region Artificial Intelligence Software world past years. USA market took 44.52 global market 2016, Europe 19.43. AI Cloudbased increasingly embedded everyday things appliances, speakers hospital equipment. This phenomenon closely aligned emergence conversational systems, expansion IoT digital mesh trend digital twins. The global Artificial Intelligence Software market valued xx million USD 2017 expected reach xx million USD end 2023, growing CAGR xx 2017 2023. The AsiaPacific occupy market share following years, especially inChina, fast growingIndia Southeast Asiaregions. North America, especially The United States, play important role ignored. Any changes United States affect development trend Artificial Intelligence Software. Europe play important roles global market, market size xx million USD 2017 xx million USD 2023, CAGR xx. Market Segment Companies, report covers Google Baidu IBM Microsoft SAP Intel Salesforce Brighterion KITT.AI IFlyTek MegviiTechnology AlbertTechnologies H2O.ai Brainasoft Yseop Ipsoft NanoRepLogMeIn Ada Support Astute Solutions Wipro Market Segment Regions, regional analysis covers North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea,IndiaandSoutheast Asia South America Brazil, Argentina, Colombia Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Market Segment Type, covers OnPremise Cloudbased Market Segment Applications, divided Voice Processing Text Processing Image Processing Complete Report Details@ Table Contents Major Key Points 1 Artificial Intelligence Software Market Overview 1.1 Product Overview Scope Artificial Intelligence Software 1.2 Classification Artificial Intelligence Software Types 1.2.1 Global Artificial Intelligence Software Revenue Comparison Types 20172023 1.2.2 Global Artificial Intelligence Software Revenue Market Share Types 2017 1.2.3 OnPremise 1.2.4 Cloudbased 1.3 Global Artificial Intelligence Software Market Application 1.3.1 Global Artificial Intelligence Software Market Size Market Share Comparison Applications 20132023 1.3.2 Voice Processing 1.3.3 Text Processing 1.3.4 Image Processing 1.4 Global Artificial Intelligence Software Market Regions 1.4.1 Global Artificial Intelligence Software Market Size Million USD Comparison Regions 20132023 1.4.1 North America USA, Canada Mexico Artificial Intelligence Software Status Prospect 20132023 1.4.2 Europe Germany, France, UK, Russia Italy Artificial Intelligence Software Status Prospect 20132023 1.4.3 AsiaPacific China, Japan, Korea, India Southeast Asia Artificial Intelligence Software Status Prospect 20132023 1.4.4 South America Brazil, Argentina, Colombia Artificial Intelligence Software Status Prospect 20132023 1.4.5 Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Artificial Intelligence Software Status Prospect 20132023 1.5 Global Market Size Artificial Intelligence Software 20132023 2 Manufacturers Profiles 2.1 Google 2.1.1BusinessOverview 2.1.2 Artificial Intelligence Software Type Applications 2.1.2.1 Product A 2.1.2.2 Product B 2.1.3 Google Artificial Intelligence Software Revenue, Gross Margin Market Share 20162017 2.2 Baidu 2.2.1 Business Overview 2.2.2 Artificial Intelligence Software Type Applications 2.2.2.1 Product A 2.2.2.2 Product B 2.2.3 Baidu Artificial Intelligence Software Revenue, Gross Margin Market Share 20162017 2.3 IBM 2.3.1 Business Overview 2.3.2 Artificial Intelligence Software Type Applications 2.3.2.1 Product A 2.3.2.2 Product B 2.3.3 IBM Artificial Intelligence Software Revenue, Gross Margin Market Share 20162017 2.4 Microsoft 2.4.1 Business Overview 2.4.2 Artificial Intelligence Software Type Applications 2.4.2.1 Product A 2.4.2.2 Product B 2.4.3 Microsoft Artificial Intelligence Software Revenue, Gross Margin Market Share 20162017 2.5 SAP 2.5.1 Business Overview 2.5.2 Artificial Intelligence Software Type Applications 2.5.2.1 Product A 2.5.2.2 Product B 2.5.3 SAP Artificial Intelligence Software Revenue, Gross Margin Market Share 20162017 ..CONTINUED Wise Guy Reportsis Wise Guy Consultants Pvt. Ltd. offers premium progressive statistical surveying, Industryresearchreports, analysis forecast data industries governments globe.Wise Guy Reportsunderstand essential statistical surveying information organization association. Therefore, wehave associated toppublishersand 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: 57 Post navigation Previous Post:Oil Gas Pipes Market 2018 Global Share, Trend, Segmentation, Analysis Industry, Opportunities Forecast 2023Next Post:Lupus Therapeutic 2019 Global Market Expected Grow CAGR 9.74 Forecast 2023 Popular Protective Relay Market 2019 Comprehensive Research, Growth Rate, Key Vendors, Size, Share, Demand Applications To 2027 Wood Coatings Industry 2019 Global Market Size, Share, Growth, Trends, 10 Company Profiles 2022 Future Market Analysis Additive Manufacturing Platform Market Quantitative Market Analysis, Current Future Trends, 20182028 Bubble Tea Chain Market Outlook 2019: Global Opportunity Demand Analysis, Market Forecast 2024 Soil Stabilization Materials Market: Construction Industries Overwhelmingly Apply Bitumens Researches Software Release Management Tools Market 2019 Industry Growth, Share, Trends, Demand, Analysis Forecast 2025 Pressure Pumping Market Global Growth rate, Application, Key Factors, Demand, Top Companies Players Review Forecast To 2027 Global Boiling Granules Market Research Report 20192025, Manufacturers, Regions, Types Applications Global Alcoholfree Beer Market 2019 Research Methodology, Market Dynamics, Key Players, Segmentation Forecast 2024 Rapidly reasing Commercial Vehicles Parc Triggers Demand Air Springs Components Market Bonded Abrasives Market 2019 Global Industry Analysis Share, Key Company, Trends, Size, Emerging Technologies, Growth Factors, Regional Forecast 2023 Protein Production Market: Global Demand, Growth Analysis, Opportunity Forecast 2024 Natural Sweeteners Market Near USD 40 billion 2026 end ECG Devices Market: Resting ECG Rises Popularity; Multipurpose Devices Leverage Physicians Global Alginate Fiber Market Analysis, Forecast 2025 Breakdown Data Type, Application Key Regions Financial Newspaper hc Powered WordPress Tortuga.
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https://www.gurufocus.com/news/1280459/dell-technologies-hpc-and-ai-solutions-help-tgen-reduce-genome-sequencing-time-from-two-weeks-to-less-than-eight-hours
2020-11-09T00:00:00
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Dell Technologies HPC and AI Solutions Help TGen Reduce Genome Sequencing Time from Two Weeks to Less Than Eight Hours - GuruFocus.com
Dell Technologies HPC and AI Solutions Help TGen Reduce Genome Sequencing Time from Two Weeks to Less Than Eight Hours - GuruFocus.com Dell Technologies HPC and AI Solutions Help TGen Reduce Genome Sequencing Time from Two Weeks to Less Than Eight Hours - GuruFocus.com Home Homepage Membership Levels Complete Stock List Value Conference The Book Podcast Membership Data Coverage Founder's Message FREE Trial Screeners GuruFocus Screeners All-In-One Screener Ben Graham Lost Formula Canadian Faster Growers CEO Buys 1 New CEO Buys after Price Drop > 20% 3 New Dividend Growth Portfolio Dividend Income Portfolio 1 New Fast Growers 8 New Hedge Fund Guru Top 10 Aggregated High Quality 1 New High Quality Low Capex w ROE ROC min 1 New High Quality & Low Capex 2 New High Yield Insider Buys Historical High Dividend Yields International Gurus' Top Holdings James Montier Short Screen 1 New Margin Decliners Mega Caps 1 New Peter Lynch & Warren Buffett Peter Lynch Growth w Lower Valuation Peter Lynch S&L Traded Below Book PFCF Screener 20 New Piotroski Score Screener Predictable Companies 3 New Profitable predictable margin expanders Stocks Sold w less Cash 3 New Good Companies The Stalwarts Walter Schloss's Screen Full Stock List My Screeners Create My Screener Value Screens All-In-One Screener Buffett-Munger Screener Industry Overview Undervalued Predictable Ben Graham Net-Net 52-Week/3Y/5Y Lows 18 New 52-Week/3Y/5Y Highs 20 New Magic Formula (Greenblatt) Dividend Stocks Peter Lynch Screen 8 New S&P 500 Grid 20 New Predictable Companies Spin Off List Historical Low P/B List Historical Low P/S List 20 New High Short Interest 20 New Upcoming Special Dividends 20 New Model Portfolios Performances Buffett-Munger Low P/S Low P/B Broadest Owned Most Weighted Tools Download Financial Data Excel Add-In GURUF API Manual of Stocks™ FilingWiz FilingWiz User Manual DCF/Reverse DCF Calculator Download Guru Portfolios Download Insider Data Mobile App Gurus Latest Guru Picks List of Gurus (Personalize) Real Time Picks Top 10 Holdings View Guru Bargains Hot Picks Aggregated Portfolio Consensus Picks ETFs Scoreboard Sector Picks International Picks Industry Trends Geographic Trend Options European Shorting Warren Buffett 1 New Bill Gates Mohnish Pabrai 1 New Carl Icahn George Soros 55 New David Tepper 12 New Seth Klarman 4 New Bill Ackman Joel Greenblatt 209 New Charlie Munger Insiders All Insiders CEO Buys/Sales Insider Trends Insider Cluster CFO Buys/Sales Guru+Insider Double Buys Triple Buys/Sales Canadian Insider Dutch Insider Market Market Valuation Buffett Indicator Industry Overview U.S. Treasury Yield Curve Shiller P/E Global Market Valuation Economic Data Shiller P/E By Sectors Buffett Assets Allocation Economic Indicators The Dow Jones Industrial Average (DJIA) SP 500 Index Nasdaq Composite Index Gross Domestic Product (GDP) Shiller PE Ratio of Wilshire 5000 over GNP Civilian Unemployment Rate Russell 2000 Small Cap Price Index CBOE Volatility Index (VIX) Total Nonfarm Payrolls: All Employees More... 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Dell Technologies HPC and AI Solutions Help TGen Reduce Genome Sequencing Time from Two Weeks to Less Than Eight HoursNovember 09, 2020 | About: NYSE:DELL +1.04% Dell EMC Ready Solutions advance healthcare and manufacturing, improve HPC systems management and enable as-a-service models PR Newswire ROUND ROCK, Texas, Nov. 9, 2020 ROUND ROCK, Texas, Nov. 9, 2020 /PRNewswire/ -- News summary New Dell EMC Ready Solutions for HPC accelerate customers' time to deliver new products and services in healthcare, life sciences and manufacturing New software integrations for virtualized environments simplify HPC cluster management and provisioning in private and public clouds Global collaborations enable HPC and AI as-a-Service Warning! GuruFocus has detected 9 Warning Signs with NYSE:DELL. Click here to check it out. NYSE:DELL 30-Year Financial DataThe intrinsic value of NYSE:DELLPeter Lynch Chart of NYSE:DELLFull story Dell Technologies (NYSE: DELL) announces new Dell EMC Ready Solutions and high-performance computing (HPC) cloud service provider collaborations to accelerate AI and advanced computing innovation in healthcare, life sciences and manufacturing. "Innovation and world-changing ideas have always started with people thinking big," said Thierry Pellegrino, vice president, Data-Centric Workloads & Solutions, Dell Technologies. "We're committed to advancing and democratizing HPC and AI by making these technologies more accessible to the big thinkers who will shape our future." Dell EMC Ready Solutions for HPC Genomics aid new discoveries The new Dell EMC Ready Solution for HPC Genomics is engineered and tested to help companies get systems for genomic analysis into production quickly and economically. Modular building blocks with Dell EMC PowerEdge servers, Dell EMC PowerSwitch networking and Dell EMC storage can be configured to meet different use cases. Specially-designed software for bioinformatics and workload management can help customers process complex genomic data faster for personalized treatments and predicting disease patterns and treatment outcomes. The Translational Genomics Research Institute (TGen) takes discoveries on common and complex diseases and translates them into patient treatments. As genomic sequencing moves from the lab into patient treatments, speed becomes even more important. TGen needs to manipulate massive quantities of data—moving it when needed, securing and managing it, and quickly processing it. With the Dell EMC Ready Solution for HPC Genomics, TGen was able to reduce genome sequencing time from two weeks to less than eight hours. "You want clinical results back as fast as possible, so physicians can make decisions faster. You don't want to wait two or three weeks," said James Lowey, chief information officer at TGen. "With the Dell EMC Ready Solution for HPC Genomics, results are more clinically relevant, and we can have them back the same day, which is huge for patients and their families." Designing products faster with Dell EMC Ready Solutions for Digital Manufacturing Today's engineering teams deliver innovative products at an ever-increasing pace. Exploring different scenarios is a part of their process, but they are often limited by the ability to quickly model and simulate new options. The Dell EMC Ready Solution for Digital Manufacturing, with Altair Hyperworks Unlimited appliances, combines Dell Technologies server, storage and networking with Altair's simulation applications and HPC middleware. Delivered as a managed service, the solution helps companies reduce HPC complexities, meet growing computing needs and run simulations at affordable costs. Available on-premises and in the cloud, engineers and scientists have easy access to HPC clusters which can improve and speed the product design process. Royal Enfield, the world's longest in-production motorcycle manufacturing company, experienced long run times for complex, dynamic events, which affected its ability to improve motorcycle design. To address this challenge, the company uses the new service for pre- and post-processing for solving complex finite element models and other analyses. "Before, it took three or four days to do one run, and now we can do multiple runs per day," said Rod Giles, head of Computer Aided Design and Engineering at Royal Enfield. "With this service, we can more effectively influence the design of the motorcycle. The first prototype will be more representative, cutting an enormous amount of time out of the development cycle." Dell EMC Ready Solutions with Bright Computing's Bright Cluster Manager help automate the process of building and managing modern high-performance clusters. Bright's latest release now includes integration with VMware for virtualization, containers and multi-cloud management. This also provides an easy path for HPC customers to tap into their existing VMware clusters to run more AI workloads. The software combines provisioning, monitoring and change management into one tool that spans the entire cluster lifecycle. Dynamic cloud provisioning helps customers build a cluster in public clouds or expand their physical cluster into public clouds for extra capacity. Advancing HPC into clouds with HPC and AI as-a-Service The as-a-Service model provides access to HPC resources in the cloud at a price and commitment level that makes sense for customers. With these economics, teams can run data-intensive workloads, including AI and high-performance data analytics, for new and innovative use cases. Dell Technologies collaborates with leading cloud-based HPC providers to provide managed services, hosting, colocation and on-demand resources. Through new agreements with DXC Technology in Asia Pacific and Japan, R Systems in North America and Verne Global in the Europe, Middle East and Africa locations, Dell Technologies can support organizations around the world. For example, startup Spire Global is an analytics company that specializes in the tracking of global data sets powered by a large constellation of nanosatellites, such as the tracking of maritime, aviation and weather patterns. Spire wanted to avoid making a large upfront investment in a fixed-sized HPC system they couldn't fully utilize due to their 'bursty' usage patterns. As a result, Spire turned to HPC as-a-Service from R Systems, who customized the contract to match Spire's organic growth. This in turn allows Spire to focus solely on helping its customers manage their weather risks without the complexities of designing, managing, and maintaining HPC infrastructure and staff. Availability Dell EMC Ready Solutions for HPC Genomics is globally available now. Dell EMC Ready Solutions for Digital Manufacturing with Altair HyperWorks Unlimited as a managed service is globally available now. Dell EMC Ready Solutions for HPC with Bright Computing Cluster Manager is globally available now.Additionalresources Connect with Dell Technologies by following @DellTech Visit Dell Technologies at Supercomputing 2020 online Join Dell Technologies' HPC Community at: http://www.dellhpc.org Learn more about Dell Technologies' HPC leadership from Hyperion ResearchAbout Dell Technologies Dell Technologies (NYSE:NYSE:DELL) helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry's broadest and most innovative technology and services portfolio for the data era. Copyright © 2020 Dell Inc. or its subsidiaries. All Rights Reserved. Dell Technologies, Dell, EMC and Dell EMC are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. VMware is a registered trademark of VMware, Inc. or its subsidiaries in the United States and other jurisdictions. View original content to download multimedia:http://www.prnewswire.com/news-releases/dell-technologies-hpc-and-ai-solutions-help-tgen-reduce-genome-sequencing-time-from-two-weeks-to-less-than-eight-hours-301168220.html SOURCE Dell Technologies Currently 0.00/512345 Rating: 0.0/5 (0 votes) Subscribe via Email Subscribe RSS Comments Please leave your comment: More GuruFocus Links Latest Guru Picks Value Strategies Warren Buffett Portfolio Ben Graham Net-Net Real Time Picks Buffett-Munger Screener Aggregated Portfolio Undervalued Predictable ETFs, Options Low P/S Companies Insider Trends 10-Year Financials 52-Week Lows Interactive Charts Model Portfolios DCF Calculator RSS Feed Monthly Newsletters The All-In-One Screener Portfolio Tracking Tool Write for GuruFocus Submit an article GuruFocus has detected 9 Warning Signs with Dell Technologies Inc NYSE:DELL. 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Dell Technologies HPC and AI Solutions Help TGen Reduce Genome Sequencing Time from Two Weeks to Less Than Eight Hours
Dell Technologies HPC AI Solutions Help TGen Reduce Genome Sequencing Time Two Weeks Less Than Eight Hours Dell Technologies HPC AI Solutions Help TGen Reduce Genome Sequencing Time Two Weeks Less Than Eight Hours Home Home Membership Levels Complete Stock List Value Conference The Book Podcast Membership Data Coverage Founders Message FREE Trial Screeners GuruFocus Screeners AllInOne Screener Ben Graham Lost Formula Canadian Faster Growers CEO Buys 1 New CEO Buys Price Drop > 20 3 New Dividend Growth Portfolio Dividend ome Portfolio 1 New Fast Growers 8 New Hedge Fund Guru Top 10 Aggregated High Quality 1 New High Quality Low Capex w ROE ROC min 1 New High Quality Low Capex 2 New High Yield Insider Buys Historical High Dividend Yields International Gurus Top Holdings James Montier Short Screen 1 New Margin Decliners Mega Caps 1 New Peter Lynch Warren Buffett Peter Lynch Growth w Lower Valuation Peter Lynch SL Traded Below Book PFCF Screener 20 New Piotroski Score Screener Predictable Companies 3 New Profitable predictable margin expanders Stocks Sold w Cash 3 New Good Companies The Stalwarts Walter Schlosss Screen Full Stock List My Screeners Create My Screener Value Screens AllInOne Screener BuffettMunger Screener Industry Overview Undervalued Predictable Ben Graham NetNet 52Week3Y5Y Lows 18 New 52Week3Y5Y Highs 20 New Magic Formula Greenblatt Dividend Stocks Peter Lynch Screen 8 New SP 500 Grid 20 New Predictable Companies Spin Off List Historical Low PB List Historical Low PS List 20 New High Short Interest 20 New Upcoming Special Dividends 20 New Model Portfolios Performances BuffettMunger Low PS Low PB Broadest Owned Most Weighted Tools Download Financial Data Excel AddIn GURUF API Manual Stocks FilingWiz FilingWiz User Manual DCFReverse DCF Calculator Download Guru Portfolios Download Insider Data Mobile App Gurus Latest Guru Picks List Gurus Personalize Real Time Picks Top 10 Holdings View Guru Bargains Hot Picks Aggregated Portfolio Consensus Picks ETFs Scoreboard Sector Picks International Picks Industry Trends Geographic Trend Options European Shorting Warren Buffett 1 New Bill Gates Mohnish Pabrai 1 New Carl Icahn George Soros 55 New David Tepper 12 New Seth Klarman 4 New Bill Ackman Joel Greenblatt 209 New Charlie Munger Insiders All Insiders CEO BuysSales Insider Trends Insider Cluster CFO BuysSales GuruInsider Double Buys Triple BuysSales Canadian Insider Dutch Insider Market Market Valuation Buffett Indicator Industry Overview U.S. Treasury Yield Curve Shiller PE Global Market Valuation Economic Data Shiller PE By Sectors Buffett Assets Allocation Economic Indicators The Dow Jones Industrial Average DJIA SP 500 Index Nasdaq Composite Index Gross Domestic Product GDP Shiller PE Ratio Wilshire 5000 GNP Civilian Unemployment Rate Russell 2000 Small Cap Price Index CBOE Volatility Index VIX Total Nonfarm Payrolls: All Employees More... 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Dell Technologies HPC AI Solutions Help TGen Reduce Genome Sequencing Time Two Weeks Less Than Eight HoursNovember 09, 2020 About: NYSE:DELL 1.04 Dell EMC Ready Solutions advance healthcare manufacturing, improve HPC systems management enable asaservice models PR Newswire ROUND ROCK, Texas, Nov. 9, 2020 ROUND ROCK, Texas, Nov. 9, 2020 PRNewswire News summary New Dell EMC Ready Solutions HPC accelerate customers time deliver new products services healthcare, life sciences manufacturing New software integrations virtualized environments simplify HPC cluster management provisioning private public clouds Global collaborations enable HPC AI asaService Warning GuruFocus detected 9 Warning Signs NYSE:DELL. Click check out. NYSE:DELL 30Year Financial DataThe intrinsic value NYSE:DELLPeter Lynch Chart NYSE:DELLFull story Dell Technologies NYSE: DELL announces new Dell EMC Ready Solutions highperformance computing HPC cloud service provider collaborations accelerate AI advanced computing innovation healthcare, life sciences manufacturing. Innovation worldchanging ideas started people thinking big, said Thierry Pellegrino, vice president, DataCentric Workloads Solutions, Dell Technologies. Were committed advancing democratizing HPC AI making technologies accessible big thinkers shape future. Dell EMC Ready Solutions HPC Genomics aid new discoveries The new Dell EMC Ready Solution HPC Genomics engineered tested help companies systems genomic analysis production quickly economically. Modular building blocks Dell EMC PowerEdge servers, Dell EMC PowerSwitch networking Dell EMC storage configured meet different use cases. Speciallydesigned software bioinformatics workload management help customers process complex genomic data faster personalized treatments predicting disease patterns treatment outcomes. The Translational Genomics Research Institute TGen takes discoveries common complex diseases translates patient treatments. As genomic sequencing moves lab patient treatments, speed important. TGen needs manipulate massive quantities datamoving needed, securing managing it, quickly processing it. With Dell EMC Ready Solution HPC Genomics, TGen able reduce genome sequencing time weeks hours. You want clinical results fast possible, physicians decisions faster. You dont want wait weeks, said James Lowey, chief information officer TGen. With Dell EMC Ready Solution HPC Genomics, results clinically relevant, day, huge patients families. Designing products faster Dell EMC Ready Solutions Digital Manufacturing Todays engineering teams deliver innovative products everincreasing pace. Exploring different scenarios process, limited ability quickly model simulate new options. The Dell EMC Ready Solution Digital Manufacturing, Altair Hyperworks Unlimited appliances, combines Dell Technologies server, storage networking Altairs simulation applications HPC middleware. Delivered managed service, solution helps companies reduce HPC complexities, meet growing computing needs run simulations affordable costs. Available onpremises cloud, engineers scientists easy access HPC clusters improve speed product design process. Royal Enfield, worlds longest inproduction motorcycle manufacturing company, experienced long run times complex, dynamic events, affected ability improve motorcycle design. To address challenge, company uses new service pre postprocessing solving complex finite element models analyses. Before, took days run, multiple runs day, said Rod Giles, head Computer Aided Design Engineering Royal Enfield. With service, effectively influence design motorcycle. The prototype representative, cutting enormous time development cycle. Dell EMC Ready Solutions Bright Computings Bright Cluster Manager help automate process building managing modern highperformance clusters. Brights latest release includes integration VMware virtualization, containers multicloud management. This provides easy path HPC customers tap existing VMware clusters run AI workloads. The software combines provisioning, monitoring change management tool spans entire cluster lifecycle. Dynamic cloud provisioning helps customers build cluster public clouds expand physical cluster public clouds extra capacity. Advancing HPC clouds HPC AI asaService The asaService model provides access HPC resources cloud price commitment level makes sense customers. With economics, teams run dataintensive workloads, including AI highperformance data analytics, new innovative use cases. Dell Technologies collaborates leading cloudbased HPC providers provide managed services, hosting, colocation ondemand resources. Through new agreements DXC Technology Asia Pacific Japan, R Systems North America Verne Global Europe, Middle East Africa locations, Dell Technologies support organizations world. For example, startup Spire Global analytics company specializes tracking global data sets powered large constellation nanosatellites, tracking maritime, aviation weather patterns. Spire wanted avoid making large upfront investment fixedsized HPC fully utilize bursty usage patterns. As result, Spire turned HPC asaService R Systems, customized contract match Spires organic growth. This turn allows Spire focus solely helping customers manage weather risks complexities designing, managing, maintaining HPC infrastructure staff. Availability Dell EMC Ready Solutions HPC Genomics globally available now. Dell EMC Ready Solutions Digital Manufacturing Altair HyperWorks Unlimited managed service globally available now. Dell EMC Ready Solutions HPC Bright Computing Cluster Manager globally available now.Additionalresources Connect Dell Technologies following Visit Dell Technologies Supercomputing 2020 online Join Dell Technologies HPC Community at: Learn Dell Technologies HPC leadership Hyperion ResearchAbout Dell Technologies Dell Technologies NYSE:NYSE:DELL helps organizations individuals build digital future transform work, live play. The company provides customers industrys broadest innovative technology services portfolio data era. 2020 Dell . subsidiaries. . Dell Technologies, Dell, EMC Dell EMC trademarks Dell . subsidiaries. Other trademarks trademarks respective owners. VMware registered trademark VMware, . subsidiaries United States jurisdictions. View original content download multimedia: SOURCE Dell Technologies Currently 0.00512345 Rating: 0.05 0 votes Email RSS Comments Please leave comment: More GuruFocus Links Latest Guru Picks Value Strategies Warren Buffett Portfolio Ben Graham NetNet Real Time Picks BuffettMunger Screener Aggregated Portfolio Undervalued Predictable ETFs, Options Low PS Companies Insider Trends 10Year Financials 52Week Lows Interactive Charts Model Portfolios DCF Calculator RSS Feed Monthly Newsletters The AllInOne Screener Portfolio Tracking Tool Write GuruFocus Submit article GuruFocus detected 9 Warning Signs Dell Technologies NYSE:DELL. 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https://www.pbs.org/newshour/nation/google-says-it-wont-build-ai-tools-for-oil-and-gas-drillers
2020-05-19T00:00:00
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Google says it won’t build AI tools for oil and gas drillers | PBS NewsHour
Google says it won’t build AI tools for oil and gas drillers | PBS NewsHour Full Episode Monday, May 18 Close Menu PBS NewsHour Episodes Podcasts Subscribe The Latest Politics Shields and Brooks Politics Monday Supreme Court Arts CANVAS Poetry Now Read This Nation Supreme Court Race Matters Essays Brief But Spectacular World Agents for Change Economy Making Sen$e Paul Solman Science The Leading Edge ScienceScope Basic Research Innovation and Invention Health Long-Term Care Education Teachers' Lounge Student Reporting Labs For Teachers About Feedback Funders Support Jobs Close Menu Educate your inbox Subscribe to Here’s the Deal, our politics newsletter for analysis you won’t find anywhere else. Email Address Subscribe Form error message goes here. Thank you. Please check your inbox to confirm. Close Popup What do you think? Leave a respectful comment. Close Comment Window Coronavirus Coverage Watch live Essential FAQ U.S. coronavirus map Podcast: America, Interrupted WATCH: Whistleblower Rick Bright says country missed ‘critical steps’ to prepare for pandemic PBS NewsHour Menu Notifications Get news alerts from PBS NewsHour Turn on desktop notifications? Yes Not now Full Episodes Podcasts Subscribe Live By — Matt O'Brien, Associated Press Matt O'Brien, Associated Press Leave a comment 0comments Share Copy URL https://www.pbs.org/newshour/nation/google-says-it-wont-build-ai-tools-for-oil-and-gas-drillers Email Facebook Twitter LinkedIn Pinterest Tumblr Share on Facebook Share on Twitter Google says it won’t build AI tools for oil and gas drillers Nation May 19, 2020 4:28 PM EDT 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. A statement from the company Tuesday followed a Greenpeace report 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. READ: Digital ad downturn may complicate things for tech giants Google said it will honor all existing contracts with its customers, but didn’t specify what companies. A Google cloud executive had earlier in May revealed the new policy during a video interview. 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 published a blog statement Tuesday that didn’t address Greenpeace’s claims but emphasized the company’s commitment to remove from the air all the carbon it has ever emitted by 2050. Left: FILE PHOTO: Oil pump jacks work at sunset near Midland, Texas, U.S., August 21, 2019. Picture taken August 21, 2019. File photo by REUTERS/Jessica Lutz Related World carbon pollution falls 17 %, study shows By Seth Borenstein, Associated Press Annie Glenn, widow of U.S. Sen. John Glenn, dies at 100 By Julie Carr Smyth, Associated Press COVID-19 data sharing with law enforcement sparks concern By Kimberlee Kruesi, Associated Press Go Deeper artificial intelligence environment google oil and gas industry technology By — Matt O'Brien, Associated Press Matt O'Brien, Associated Press Support Provided By: Learn more Educate your inbox Subscribe to Here’s the Deal, our politics newsletter for analysis you won’t find anywhere else. Email Address Subscribe Form error message goes here. Thank you. Please check your inbox to confirm. Full Episode Monday, May 18 Additional Support Provided By: Trending Now Read May 15 What 74 former Biden staffers think about Tara Reade’s allegations Read May 19 5 questions about asymptomatic COVID-19 cases, answered Watch May 17 A mother’s COVID-19 children’s book parodies go viral Watch May 18 Tamara Keith and Amy Walter on Trump attacking Obama, and Obama speaking out Watch May 18 As restrictions are lifted, how to apply lessons from health care workers to daily life The Latest Nation May 19 Google says it won’t build AI tools for oil and gas drillers By Matt O'Brien, Associated Press Politics May 19 Aides scramble to defend Trump’s use of hydroxychloroquine By Zeke Miller, Jonathan Lemire, Associated Press, Marilynn Marchione, AP Chief Medical Writer World May 19 World carbon pollution falls 17 %, study shows By Seth Borenstein, Associated Press Health May 19 New York to allow small Memorial Day ceremonies By Associated Press World May 19 Pandemic threatens ‘years of progress’ on climate change By Pan Pylas, Associated Press Politics May 19 Appeals court approves June 23 New York Democratic presidential primary By Larry Neumeister, Marina Villeneuve, Associated Press World May 19 German court nixes law allowing foreign telecom monitoring By Associated Press Health May 19 U.N. chief recommends scaled-back meeting of world leaders in September By Edith M. Lederer, Associated Press World May 19 Canada, U.S. extend border closure to non-essential travel By Rob Gillies, Associated Press Nation May 19 Pandemic will affect Communion rituals for U.S. Christians By David Crary, Associated Press Nation May 19 WATCH: Pence previews next week’s U.S. return to space By Associated Press Health May 19 5 questions about asymptomatic COVID-19 cases, answered By William Petri, The Conversation PBS NewsHour © 1996 - 2020 NewsHour Productions LLC. All Rights Reserved. Sections The Latest Politics Arts Nation World Economy Science Health Education About About Us TV Schedule Press Feedback Funders Support Subscribe NewsHour West Jobs Privacy Stay Connected Facebook Twitter YouTube RSS Subscribe to ‘Here's the Deal,’ our politics newsletter Email Address Subscribe Form error message goes here. Thank you. Please check your inbox to confirm. Support our journalism Learn more about Friends of the NewsHour. Support for NewsHour Provided By
Google says it won’t build AI tools for oil and gas drillers
Google says wont build AI tools oil gas drillers PBS NewsHour Full Episode Monday, May 18 Close Menu PBS NewsHour Episodes Podcasts The Latest Politics Shields Brooks Politics Monday Supreme Court Arts CANVAS Poetry Now Read This Nation Supreme Court Race Matters Essays Brief But Spectacular World Agents Change Economy Making Sene Paul Solman Science The Leading Edge ScienceScope Basic Research Innovation Invention Health LongTerm Care Education Teachers Lounge Student Reporting Labs For Teachers About Feedback Funders Support Jobs Close Menu Educate inbox Heres Deal, politics newsletter analysis wont anywhereelse. Email Address Form error message goes here. Thank you. Please check inbox confirm. Close Popup What think? Leave respectful comment. Close Comment Window Coronavirus Coverage Watch live Essential FAQ U.S. coronavirus map Podcast: America, Interrupted WATCH: Whistleblower Rick Bright says country missed critical steps prepare pandemic PBS NewsHour Menu Notifications Get news alerts PBS NewsHour Turn desktop notifications? Yes Not Full Episodes Podcasts Live By Matt OBrien, Associated Press Matt OBrien, Associated Press Leave comment 0comments Share Copy URL Email Facebook Twitter LinkedIn Pinterest Tumblr Share Facebook Share Twitter Google says wont build AI tools oil gas drillers Nation May 19, 2020 4:28 PM EDT Google says longer build custom artificial intelligence tools speeding oil gas extraction, separating cloud computing rivals Microsoft Amazon. A statement company Tuesday followed Greenpeace report 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. READ: Digital ad downturn complicate things tech giants Google said honor existing contracts customers, didnt specify companies. A Google cloud executive earlier May revealed new policy video interview. 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 published blog statement Tuesday didnt address Greenpeaces claims emphasized companys commitment remove air carbon emitted 2050. Left: FILE PHOTO: Oil pump jacks work sunset near Midland, Texas, U.S., August 21, 2019. Picture taken August 21, 2019. File photo REUTERSJessica Lutz Related World carbon pollution falls 17 , study shows By Seth Borenstein, Associated Press Annie Glenn, widow U.S. Sen. John Glenn, dies 100 By Julie Carr Smyth, Associated Press COVID19 data sharing law enforcement sparks concern By Kimberlee Kruesi, Associated Press Go Deeper artificial intelligence environment google oil gas industry technology By Matt OBrien, Associated Press Matt OBrien, Associated Press Support Provided By: Learn Educate inbox Heres Deal, politics newsletter analysis wont anywhereelse. Email Address Form error message goes here. Thank you. Please check inbox confirm. Full Episode Monday, May 18 Additional Support Provided By: Trending Now Read May 15 What 74 Biden staffers think Tara Reades allegations Read May 19 5 questions asymptomatic COVID19 cases, answered Watch May 17 A mothers COVID19 childrens book parodies viral Watch May 18 Tamara Keith Amy Walter Trump attacking Obama, Obama speaking Watch May 18 As restrictions lifted, apply lessons health care workers daily life The Latest Nation May 19 Google says wont build AI tools oil gas drillers By Matt OBrien, Associated Press Politics May 19 Aides scramble defend Trumps use hydroxychloroquine By Zeke Miller, Jonathan Lemire, Associated Press, Marilynn Marchione, AP Chief Medical Writer World May 19 World carbon pollution falls 17 , study shows By Seth Borenstein, Associated Press Health May 19 New York allow small Memorial Day ceremonies By Associated Press World May 19 Pandemic threatens years progress climate change By Pan Pylas, Associated Press Politics May 19 Appeals court approves June 23 New York Democratic presidential primary By Larry Neumeister, Marina Villeneuve, Associated Press World May 19 German court nixes law allowing foreign telecom monitoring By Associated Press Health May 19 U.N. chief recommends scaledback meeting world leaders September By Edith M. Lederer, Associated Press World May 19 Canada, U.S. extend border closure nonessential travel By Rob Gillies, Associated Press Nation May 19 Pandemic affect Communion rituals U.S. Christians By David Crary, Associated Press Nation May 19 WATCH: Pence previews weeks U.S. return space By Associated Press Health May 19 5 questions asymptomatic COVID19 cases, answered By William Petri, The Conversation PBS NewsHour 1996 2020 NewsHour Productions LLC. . Sections The Latest Politics Arts Nation World Economy Science Health Education About TV Schedule Press Feedback Funders Support NewsHour West Jobs Privacy Stay Connected Facebook Twitter YouTube RSS Heres Deal, politics newsletter Email Address Form error message goes here. Thank you. Please check inbox confirm. Support journalism Learn Friends NewsHour. Support NewsHour Provided By
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"watch", "mothers", "covid", "childrens", "book", "parodies", "viral", "watch", "tamara", "keith", "amy", "walter", "trump", "attacking", "obama", "obama", "speaking", "watch", "restrictions", "lifted", "apply", "lessons", "health", "care", "workers", "daily", "life", "latest", "nation", "google", "says", "wont", "build", "ai", "tools", "oil", "gas", "drillers", "matt", "obrien", "associated", "press", "politics", "aides", "scramble", "defend", "trumps", "use", "zeke", "miller", "jonathan", "lemire", "associated", "press", "marilynn", "marchione", "ap", "chief", "medical", "writer", "world", "world", "carbon", "pollution", "falls", "study", "shows", "seth", "borenstein", "associated", "press", "health", "new", "york", "allow", "small", "memorial", "day", "ceremonies", "associated", "press", "world", "pandemic", "threatens", "years", "progress", "climate", "change", "pan", "pylas", "associated", "press", "politics", "appeals", "court", "approves", "june", "new", "york", "democratic", 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"newshour", "west", "jobs", "privacy", "stay", "connected", "facebook", "twitter", "youtube", "rss", "heres", "deal", "politics", "newsletter", "email", "address", "form", "error", "message", "goes", "thank", "check", "inbox", "confirm", "support", "journalism", "learn", "friends", "newshour", "support", "newshour", "provided" ]
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https://www.globenewswire.com/news-release/2020/03/18/2002535/0/en/San-Diego-Based-Company-takes-Digital-Marketing-to-the-next-Level-by-Launching-the-First-Artificial-Intelligence-Marketing-Agency-in-the-United-States.html
2020-03-18T00:00:00
en
San Diego-Based Company takes Digital Marketing to the next Level by Launching the First Artificial Intelligence Marketing Agency in the United States
San Diego-Based Company takes Digital Marketing to the next Level by Launching the First Artificial Intelligence Marketing Agency in the United States GlobeNewswire Register Sign In English Français Contact Us Global Distribution Newswire Services Regulatory Filings Media Partners San Diego-Based Company takes Digital Marketing to the next Level by Launching the First Artificial Intelligence Marketing Agency in the United States Email Print Friendly Share March 18, 2020 08:00 ET | Source: smartboost SAN DIEGO, March 18, 2020 (GLOBE NEWSWIRE) -- smartboost, an AI Digital Agency, announced today its new company name and business model. The founders of CNG Marketing and SIO Digital have merged their companies together to create smartboost, the first ever AI marketing agency. In 2014, smartboost founders Giovanni Letellier and Clement Connor created CNG Digital Marketing, a digital marketing agency that was focused on building small businesses. CNG utilized advanced technology to reach and exceed clients’ goals. The company quickly grew from two founders to over 15 employees in its first year. In 2016, CNG created its sister company, SiO Digital, that focused more on medium to large businesses, SiO Digital, was also an AI-powered and data-driven marketing agency. Giovanni transferred his responsibilities as CEO of CNG to Clement and took the role of Chief Strategist, so he could dedicate more time to SIO’s growth and future projects. After a successful six years in partnership with CNG and SIO and while servicing over 100 clients and growing, Giovanni and Clement wanted to merge the two companies to become smartboost. "Our new name goes much deeper than just a new website and brand colors. It represents the merging of one of the first AI-powered Marketing Agencies with a best-in-class creative digital agency. The future starts now, said Giovanni Letellier, Founder and CEO of smartboost. smartboost is proud to be the first AI-powered marketing agency alongside an innovative digital creative agency. smartboost is at the forefront of digital marketing and has a proven track record of building businesses through data-driven digital analytics. When business owners are working with smartboost marketers, designers, developers, and engineers, they’re all doing the same job: driving results through data. smartboost will continue to grow as a collective and is dedicated to staying ahead of marketing trends through advanced AI-technology. This is an exciting time for many types of businesses looking to take advantage of the digital age. By working with smartboost, business owners will be working with the most innovative and technologically advanced agency in the United States. About smartboost smartboost is comprised of a highly-skilled team of creative marketers, scientists, and mathematicians — all experts in our fields. With a proven track record of data-driven results by the notion of excellence, we see people and Artificial Intelligence working in symbiosis to help businesses survive and grow. smartboost is focused on impact and transparency and our technology is in a constant state of transformation. PR Contact Kathleen Gonzales [email protected]   Related Articles More articles issued by smartboost More articles related to: Company Announcement Profile smartboost   Subscribe via RSS  Subscribe via ATOM  Javascript San Diego California, UNITED STATES   http://smarboost.com Media Files smartboost-logo-text-500px-web.png LOGO URL | Copy the link below Formats available: Original Medium Small Tags digital marketing artificial intelligence AI Marketing Merge Company Newswire Distribution Network & Management Home Newsroom RSS Feeds Legal About Us GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public. © 2020 GlobeNewswire, Inc. All Rights Reserved.
San Diego-Based Company takes Digital Marketing to the next Level by Launching the First Artificial Intelligence Marketing Agency in the United States
San DiegoBased Company takes Digital Marketing Level Launching First Artificial Intelligence Marketing Agency United States GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners San DiegoBased Company takes Digital Marketing Level Launching First Artificial Intelligence Marketing Agency United States Email Print Friendly Share March 18, 2020 08:00 ET Source: smartboost SAN DIEGO, March 18, 2020 GLOBE NEWSWIRE smartboost, AI Digital Agency, announced today new company business model. The founders CNG Marketing SIO Digital merged companies create smartboost, AI marketing agency. In 2014, smartboost founders Giovanni Letellier Clement Connor created CNG Digital Marketing, digital marketing agency focused building small businesses. CNG utilized advanced technology reach exceed clients goals. The company quickly grew founders 15 employees year. In 2016, CNG created sister company, SiO Digital, focused medium large businesses, SiO Digital, AIpowered datadriven marketing agency. Giovanni transferred responsibilities CEO CNG Clement took role Chief Strategist, dedicate time SIOs growth future projects. After successful years partnership CNG SIO servicing 100 clients growing, Giovanni Clement wanted merge companies smartboost. Our new goes deeper new website brand colors. It represents merging AIpowered Marketing Agencies bestinclass creative digital agency. The future starts now, said Giovanni Letellier, Founder CEO smartboost. smartboost proud AIpowered marketing agency alongside innovative digital creative agency. smartboost forefront digital marketing proven track record building businesses datadriven digital analytics. When business owners working smartboost marketers, designers, developers, engineers, theyre job: driving results data. smartboost continue grow collective dedicated staying ahead marketing trends advanced AItechnology. This exciting time types businesses looking advantage digital age. By working smartboost, business owners working innovative technologically advanced agency United States. About smartboost smartboost comprised highlyskilled team creative marketers, scientists, mathematicians experts fields. With proven track record datadriven results notion excellence, people Artificial Intelligence working symbiosis help businesses survive grow. smartboost focused impact transparency technology constant state transformation. PR Kathleen Gonzales kathleen Related Articles More articles issued smartboost More articles related to: Company Announcement Profile smartboost RSS ATOM Javascript San Diego California, UNITED STATES Media Files smartboostlogotext500pxweb.png LOGO URL Copy link Formats available: Original Medium Small Tags digital marketing artificial intelligence AI Marketing Merge Company Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . .
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https://marketresearchsheets.com/2020/05/02/global-ai-in-smartphone-and-wearable-ecosystem-market-emerging-trends-and-prospects-2026-with-leading-vendors-mitsubishi-heavy-industriesbombardieransaldo-sts-hitachitpi-compositesstruktondopp/
2020-05-02T00:00:00
en
Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides – Market Research Sheets
Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides – Market Research Sheets About Contact Team Feedback Terms of Use Privacy Policy Market Research Sheets NewsSatelliteNASARocketsSPACEContact Organic Aquaculture Product Market– Qualitative Outlook on Application 2025 Internet Security Market Growth Rate by 2026 – Top Key Vendors, Trend, Segmentation, Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides Discrete Diodes Market Report to Share Key Aspects of the Industry With the Details of Influence Factors Organic Salmon Market Analysis -Global Demand, Opportunities, Revenue, Production, and Geographical Forecast To 2025 Orthostatic Hypotension Market Status and Global Outlook 2019-2025 Market Research Sheets NewsSatelliteNASARocketsSPACEContact Market Research Sheets News Satellite NASA Rockets SPACE Contact Application • Gadgets • News • Technology Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides May 2, 20204 Min Read [email protected] Share This! Facebook Twitter Google Plus Pinterest LinkedIn Global AI in Smartphone and Wearable Ecosystem Market Forecast 2019-2026 A new report, Global “AI in Smartphone and Wearable Ecosystem Market” provides an overview of recent factors enabling growth in the global AI in Smartphone and Wearable Ecosystem industry. According to the report, recent innovations have created several growth opportunities for prevailing companies as well as newer market entrants. Global AI in Smartphone and Wearable Ecosystem Market Research Reports provides information regarding market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution and forecast 2024. Get a sample copy of the report at –  http://bit.ly/34PpXrl The key manufacturers covered in this report are Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides, Inc.,Parry People Movers Ltd.,POMA This report also includes the overall and comprehensive study of the AI in Smartphone and Wearable Ecosystem market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the AI in Smartphone and Wearable Ecosystem industry and provides data for making strategies to increase the market growth and effectiveness. The Global AI in Smartphone and Wearable Ecosystem market 2019 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global AI in Smartphone and Wearable Ecosystem 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. In addition to this, regional analysis is conducted to identify the leading region and calculate its share in the global AI in Smartphone and Wearable Ecosystem market. Various factors positively impacting the growth of the AI in Smartphone and Wearable Ecosystem market in the leading region are also discussed in the report. The global AI in Smartphone and Wearable Ecosystem market is also segmented on the basis of types, end users, geography and other segments. The study objectives of this report are: To study and analyze the global AI in Smartphone and Wearable Ecosystem consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024. To understand the structure of AI in Smartphone and Wearable Ecosystem market by identifying its various subsegments. Focuses on the key global AI in Smartphone and Wearable Ecosystem manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years. To analyze the AI in Smartphone and Wearable Ecosystem with respect to individual growth trends, future prospects, and their contribution to the total market. To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks). To project the consumption of AI in Smartphone and Wearable Ecosystem submarkets, with respect to key regions (along with their respective key countries). To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market. To strategically profile the key players and comprehensively analyze their growth strategies. Table of Content: Chapter One Industry Overview of AI in Smartphone and Wearable Ecosystem Chapter Two Manufacturing Cost Structure Analysis Chapter Three Development and Manufacturing Plants Analysis of AI in Smartphone and Wearable Ecosystem Chapter Four Key Figures of Major Manufacturers Chapter Five AI in Smartphone and Wearable Ecosystem Regional Market Analysis Chapter Six AI in Smartphone and Wearable Ecosystem Segment Market Analysis (by Type) Chapter Seven AI in Smartphone and Wearable Ecosystem Segment Market Analysis (by Application) Chapter Eight AI in Smartphone and Wearable Ecosystem Major Manufacturers Analysis Chapter Nine Development Trend of Analysis of AI in Smartphone and Wearable Ecosystem Market Chapter Ten Marketing Channel Chapter Eleven Conclusion Get Complete Report:  http://bit.ly/34PpXrl About us 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 Marketing www.reportsandmarkets.com [email protected] Ph: +1-352-353-0818 (US) This post was originally published on Market Research Sheets TagsAI in Smartphone and Wearable Ecosystem AI in Smartphone and Wearable Ecosystem Market AI in Smartphone and Wearable Ecosystem Market Analysis AI in Smartphone and Wearable Ecosystem Market Industry Analysis AI in Smartphone and Wearable Ecosystem Market Insights AI in Smartphone and Wearable Ecosystem Market Opportunities AI in Smartphone and Wearable Ecosystem Market Outlook AI in Smartphone and Wearable Ecosystem Market Research Companies AI in Smartphone and Wearable Ecosystem Market Research Company AI in Smartphone and Wearable Ecosystem Market Segmentation AI in Smartphone and Wearable Ecosystem Market Status AI in Smartphone and Wearable Ecosystem Market Trend Bombardier Market Press Release Mitsubishi Heavy Industries Scope Growth In AI in Smartphone and Wearable Ecosystem Trends In AI in Smartphone and Wearable Ecosystem Market You may also like News Organic Aquaculture Product Market– Qualitative Outlook on Application 2025 May 2, 2020 News Organic Salmon Market Analysis -Global Demand, Opportunities, Revenue, Production, and Geographical Forecast To 2025 May 2, 2020 News Orthostatic Hypotension Market Status and Global Outlook 2019-2025 May 2, 2020 About the authorView All Posts [email protected] Internet Security Market Growth Rate by 2026 – Top Key Vendors, Trend, Segmentation, Discrete Diodes Market Report to Share Key Aspects of the Industry With the Details of Influence Factors Share This! Facebook Twitter Google Plus Pinterest LinkedIn Related News Organic Aquaculture Product Market– Qualitative Outlook on Application 2025 May 2, 2020 Technology Internet Security Market Growth Rate by 2026 – Top Key Vendors, Trend, Segmentation, May 2, 2020 Application • Gadgets • News • Technology Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides May 2, 2020 Technology Discrete Diodes Market Report to Share Key Aspects of the Industry With the Details of Influence Factors May 2, 2020 News Organic Salmon Market Analysis -Global Demand, Opportunities, Revenue, Production, and Geographical Forecast To 2025 May 2, 2020 Contact Market Research Sheets Inc. 739 Bryant St, San Francisco, CA 94107, USA Recent Posts Organic Aquaculture Product Market– Qualitative Outlook on Application 2025 Internet Security Market Growth Rate by 2026 – Top Key Vendors, Trend, Segmentation, About Contact Team Feedback Terms of Use Privacy Policy Copyright © 2019. 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Global AI in Smartphone and Wearable Ecosystem Market Emerging Trends and Prospects 2026 with Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS (Hitachi),TPI Composites,Strukton,Doppelmayr Cable Car (Doppelmayr/Garaventa Group),Chance Rides
Global AI Smartphone Wearable Ecosystem Market Emerging Trends Prospects 2026 Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS Hitachi,TPI Composites,Strukton,Doppelmayr Cable Car DoppelmayrGaraventa Group,Chance Rides Market Research Sheets About Team Feedback Terms Use Market Research Sheets NewsSatelliteNASARocketsSPACE Organic Aquaculture Product Market Qualitative Outlook Application 2025 Internet Security Market Growth Rate 2026 Top Key Vendors, Trend, Segmentation, Global AI Smartphone Wearable Ecosystem Market Emerging Trends Prospects 2026 Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS Hitachi,TPI Composites,Strukton,Doppelmayr Cable Car DoppelmayrGaraventa Group,Chance Rides Discrete Diodes Market Report Share Key Aspects Industry With Details Influence Factors Organic Salmon Market Analysis Global Demand, Opportunities, Revenue, Production, Geographical Forecast To 2025 Orthostatic Hypotension Market Status Global Outlook 20192025 Market Research Sheets NewsSatelliteNASARocketsSPACE Market Research Sheets News Satellite NASA Rockets SPACE Application Gadgets News Technology Global AI Smartphone Wearable Ecosystem Market Emerging Trends Prospects 2026 Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS Hitachi,TPI Composites,Strukton,Doppelmayr Cable Car DoppelmayrGaraventa Group,Chance Rides May 2, 20204 Min Read [emailprotected] Share This Facebook Twitter Google Plus Pinterest LinkedIn Global AI Smartphone Wearable Ecosystem Market Forecast 20192026 A new report, Global AI Smartphone Wearable Ecosystem Market provides overview recent factors enabling growth globalAI Smartphone Wearable Ecosystem industry. According report, recent innovations created growth opportunities prevailing companies newer market entrants. Global AI Smartphone Wearable Ecosystem MarketResearch Reports provides information market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution forecast 2024. Get sample copy ofthe report The key manufacturers covered report Mitsubishi Heavy Industries,Bombardier,Ansaldo STS Hitachi,TPI Composites,Strukton,Doppelmayr Cable Car DoppelmayrGaraventa Group,Chance Rides, .,Parry People Movers Ltd.,POMA This report includes overall comprehensive study AI Smartphone Wearable Ecosystem market aspects influencing growth market. This report exhaustive quantitative analyses AI Smartphone Wearable Ecosystem industry provides data making strategies increase market growth effectiveness. The Global AI Smartphone Wearable Ecosystem market 2019 research provides basic overview industry including definitions, classifications, applications industry chain structure. The Global AI Smartphone Wearable Ecosystem 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. In addition this, regional analysis conducted identify leading region calculate share globalAI Smartphone Wearable Ecosystemmarket. Various factors positively impacting growth AI Smartphone Wearable Ecosystem market leading region discussed report. The globalAI Smartphone Wearable Ecosystem marketis segmented basis types, end users, geography segments. The study objectives report are: To study analyze global AI Smartphone Wearable Ecosystem consumption value volume key regionscountries, product type application, history data 2014 2018, forecast 2024. To understand structure AI Smartphone Wearable Ecosystem market identifying subsegments. Focuses key global AI Smartphone Wearable Ecosystem manufacturers, define, analyze sales volume, value, market share, market competition landscape, SWOT analysis development plans years. To analyze AI Smartphone Wearable Ecosystem respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project consumption AI Smartphone Wearable Ecosystem submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Table Content: Chapter One Industry Overview AI Smartphone Wearable Ecosystem Chapter Two Manufacturing Cost Structure Analysis Chapter Three Development Manufacturing Plants Analysis AI Smartphone Wearable Ecosystem Chapter Four Key Figures Major Manufacturers Chapter Five AI Smartphone Wearable Ecosystem Regional Market Analysis Chapter Six AI Smartphone Wearable Ecosystem Segment Market Analysis Type Chapter Seven AI Smartphone Wearable Ecosystem Segment Market Analysis Application Chapter Eight AI Smartphone Wearable Ecosystem Major Manufacturers Analysis Chapter Nine Development Trend Analysis AI Smartphone Wearable Ecosystem Market Chapter Ten Marketing Channel Chapter Eleven Conclusion Get Complete Report: About 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 Marketing [emailprotected] Ph: 13523530818 US This post originally published Market Research Sheets TagsAI Smartphone Wearable Ecosystem AI Smartphone Wearable Ecosystem Market AI Smartphone Wearable Ecosystem Market Analysis AI Smartphone Wearable Ecosystem Market Industry Analysis AI Smartphone Wearable Ecosystem Market Insights AI Smartphone Wearable Ecosystem Market Opportunities AI Smartphone Wearable Ecosystem Market Outlook AI Smartphone Wearable Ecosystem Market Research Companies AI Smartphone Wearable Ecosystem Market Research Company AI Smartphone Wearable Ecosystem Market Segmentation AI Smartphone Wearable Ecosystem Market Status AI Smartphone Wearable Ecosystem Market Trend Bombardier Market Press Release Mitsubishi Heavy Industries Scope Growth In AI Smartphone Wearable Ecosystem Trends In AI Smartphone Wearable Ecosystem Market You like News Organic Aquaculture Product Market Qualitative Outlook Application 2025 May 2, 2020 News Organic Salmon Market Analysis Global Demand, Opportunities, Revenue, Production, Geographical Forecast To 2025 May 2, 2020 News Orthostatic Hypotension Market Status Global Outlook 20192025 May 2, 2020 About authorView All Posts [emailprotected] Internet Security Market Growth Rate 2026 Top Key Vendors, Trend, Segmentation, Discrete Diodes Market Report Share Key Aspects Industry With Details Influence Factors Share This Facebook Twitter Google Plus Pinterest LinkedIn Related News Organic Aquaculture Product Market Qualitative Outlook Application 2025 May 2, 2020 Technology Internet Security Market Growth Rate 2026 Top Key Vendors, Trend, Segmentation, May 2, 2020 Application Gadgets News Technology Global AI Smartphone Wearable Ecosystem Market Emerging Trends Prospects 2026 Leading Vendors: Mitsubishi Heavy Industries,Bombardier,Ansaldo STS Hitachi,TPI Composites,Strukton,Doppelmayr Cable Car DoppelmayrGaraventa Group,Chance Rides May 2, 2020 Technology Discrete Diodes Market Report Share Key Aspects Industry With Details Influence Factors May 2, 2020 News Organic Salmon Market Analysis Global Demand, Opportunities, Revenue, Production, Geographical Forecast To 2025 May 2, 2020 Market Research Sheets . 739 Bryant St, San Francisco, CA 94107, USA Recent Posts Organic Aquaculture Product Market Qualitative Outlook Application 2025 Internet Security Market Growth Rate 2026 Top Key Vendors, Trend, Segmentation, About Team Feedback Terms Use 2019. 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Leverage AI in the business - IT-Online
Leverage AI in the business - IT-Online Home About Us Business IT Channelwise Subscribe Africa Company News Industry Areas Channel News IT in Education IT Consumables IT in Financial Services IT in Government IT in Health IT in Manufacturing IT in Retail IT in Sport Technology Areas Cloud Computing Application Development Application Software Business Intelligence Cloud Resources Compliance Contact Centres Digital Lifestyle Document Management E-Commerce Enterprise Business Enterprise Mobility Gaming HR and Payroll IT Service Management Lifecycle Management Linux & Open Source Mobile Computing Office Equipment Peripheral Reviews Personal Computers Power & Cooling Research Risk Management Security Servers Service Oriented Architecture Storage Supply Chain Management Telecommunications Unified Comms Virtualisation Visual Instruments Lenovo Content Hub Mobile Lifestyle Hub Select Page Leverage AI in the business Sep 1, 2020 Are you missing your competitive advantage in the market, asks Emil Hickley, business manager at Decision Inc. Artificial intelligence (AI) is not about replacing jobs but rather enhancing them. As the technology grows in sophistication, so too does its potential for business. However, companies must be open to embracing it as an enabler for growth. According to an article in Forbes, AI also offers many opportunities to help enhance employee skills. There is clearly a wealth of potential for the use of AI. AI is already assisting organisations to onboard and train staff. Traditionally, companies are reliant on experienced people to help guide new employees through the complexities of the organisational environment. But by incorporating AI into business processes, the technology fills this gap. By understanding the important points and passing that knowledge on to new hires. This means strategic resources can remain focused on their core job responsibilities. From a sales perspective, AI can highlight the likelihood of a deal being converted and can identify the top three things to focus on that will make it successful. It does so by analysing customer sentiment in real-time as the communication progresses. In turn, management can view all deals in the pipeline and, based on size, can then decide if they want to join in the process and positively influence it from a leadership perspective. Another area for leveraging AI is customer service. Take insurance for instance. Only a small percentage of the calls made from a contact centre are analysed after the fact. And often, it is only when customers start complaining that insurers seek to address poor service issues. For its part, AI can analyse all calls and immediately highlight the areas to focus on and spend more resources for a more positive experience. The roll-out of AI Rolling out AI into existing processes does not have to be a difficult undertaking. It has become as easy as subscribing to a licence to unlock the capability that is already available on many platforms. What used to take almost six months to do, can now be implemented almost instantaneously. This enables organisations to analyse data faster and even predict the optimum model for them to use – a previously time-intensive manual process undertaken by data scientists. By enabling AI to analyse data, a business can drive change and behaviour. For example, it can take its top 10 satisfied customers and define those successes into areas which the marketing team can use to showcase positive messaging. In the past, it was difficult to change an AI model that was ‘stuck’ in a specific way of thinking. These used to require significant retraining. But thanks to the subscription-based AI models today, it becomes a much faster process to introduce new business metrics and have the environment retrain itself. Turning data around Fundamentally, AI has the capability of exposing bad data sets and duplicate data. Perhaps more concerning is how it highlights how some duplicate records do not even contain the correct information. So the focus must turn to how those duplicates came to be there and how one can go about fixing. AI, therefore, points to gaps in existing processes. Some might feel threatened by this while others see it as an opportunity to improve the environment going forward. AI will become part of the standard operating procedure of any business. But it must become an integral part of daily use otherwise we are wasting the opportunities it can provides. Companies must therefore examine how best to capitalise on AI and help it to transform its operating environment. Related Home About Us Business IT Channelwise Subscribe Facebook Twitter Designed by Elegant Themes | Powered by WordPress
Leverage AI in the business
Leverage AI business ITOnline Home Business IT Channelwise Africa Company News Industry Areas Channel News IT Education IT Consumables IT Financial Services IT Government IT Health IT Manufacturing IT Retail IT Sport Technology Areas Cloud Computing Application Development Application Software Business Intelligence Cloud Resources Compliance Centres Digital Lifestyle Document Management ECommerce Enterprise Business Enterprise Mobility Gaming HR Payroll IT Service Management Lifecycle Management Linux Open Source Mobile Computing Office Equipment Peripheral Reviews Personal Computers Power Cooling Research Risk Management Security Servers Service Oriented Architecture Storage Supply Chain Management Telecommunications Unified Comms Virtualisation Visual Instruments Lenovo Content Hub Mobile Lifestyle Hub Select Page Leverage AI business Sep 1, 2020 Are missing competitive advantage market, asks Emil Hickley, business manager Decision . Artificial intelligence AI replacing jobs enhancing them. As technology grows sophistication, potential business. However, companies open embracing enabler growth. According article Forbes, AI offers opportunities help enhance employee skills. There clearly wealth potential use AI. AI assisting organisations onboard train staff. Traditionally, companies reliant experienced people help guide new employees complexities organisational environment. But incorporating AI business processes, technology fills gap. By understanding important points passing knowledge new hires. This means strategic resources remain focused core job responsibilities. From sales perspective, AI highlight likelihood deal converted identify things focus successful. It analysing customer sentiment realtime communication progresses. In turn, management view deals pipeline and, based size, decide want join process positively influence leadership perspective. Another area leveraging AI customer service. Take insurance instance. Only small percentage calls contact centre analysed fact. And often, customers start complaining insurers seek address poor service issues. For part, AI analyse calls immediately highlight areas focus spend resources positive experience. The rollout AI Rolling AI existing processes difficult undertaking. It easy subscribing licence unlock capability available platforms. What months do, implemented instantaneously. This enables organisations analyse data faster predict optimum model use previously timeintensive manual process undertaken data scientists. By enabling AI analyse data, business drive change behaviour. For example, 10 satisfied customers define successes areas marketing team use showcase positive messaging. In past, difficult change AI model stuck specific way thinking. These require significant retraining. But thanks subscriptionbased AI models today, faster process introduce new business metrics environment retrain itself. Turning data Fundamentally, AI capability exposing bad data sets duplicate data. Perhaps concerning highlights duplicate records contain correct information. So focus turn duplicates came fixing. AI, therefore, points gaps existing processes. Some feel threatened opportunity improve environment going forward. AI standard operating procedure business. But integral daily use wasting opportunities provides. Companies examine best capitalise AI help transform operating environment. Related Home Business IT Channelwise Facebook Twitter Designed Elegant Themes Powered WordPress
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https://www.huffingtonpost.in/entry/artificial-intelligence-systems-unethical-human-bias_in_5e256b92c5b673621f78de5a
2020-01-20T00:00:00
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Can AI Systems Be Unethical? The Answer Is Yes | HuffPost India
Can AI Systems Be Unethical? The Answer Is Yes | HuffPost India Australia Brasil Canada España France Ελλάδα (Greece) India Italia 日本 (Japan) 한국 (Korea) Québec (en français) United Kingdom United States India Edition CLOSE News Latest News Opinions Analysis Business World Politics BJP Congress Kerala Kashmir Uttar Pradesh Maharashtra Entertainment Reviews Bollywood Hollywood Malayalam Movies Tamil Movies What to Watch Technology Aadhaar Privacy Data Gadgets Gaming Books Best Books Reviews Excerpts Features Life Health Relationships Style Food Adulting More iOS app Android app Breaking Free HuffPost Partner Studio Follow us Terms | Privacy Policy Part of HuffPost News News Politics Entertainment Technology Books Life Australia Brasil Canada España France Ελλάδα (Greece) India Italia 日本 (Japan) 한국 (Korea) Québec (en français) United Kingdom United States India Edition CLOSE News Politics Entertainment Technology Books Life TECH 20/01/2020 4:15 PM IST Can AI Systems Be Unethical? The Answer Is Yes Artificial intelligence systems can acquire human biases during their machine learning phase. What we need are frameworks to neutralise these biases. By Shweta gorodenkoff via Getty ImagesRepresentative image.Recently, David Heinemeier Hansson, creator of Ruby On Rails, tweeted that he got 20 times the credit limit on his Apple Card than his wife, even though they file joint taxes, and their credit history matches up. Apple co-founder Steve Wozniak also replied to the same thread, saying he got 10 times the credit limit as his wife even though they have no separate banking or credit card accounts, or assets.In his tweets, Hansson noted: “She spoke to two Apple reps. Both very nice, courteous people representing an utterly broken and reprehensible system. The first person was like ‘I don’t know why, but I swear we’re not discriminating, it’s just the algorithm’.”“It’s just the algorithm” is, of course, not a very useful response. Algorithms aren’t just being used for advanced computing — they are determining every aspect of our lives, from whether we can get a loan, or whether we’re eligible for insurance discounts, or if you’re going to be grilled by the police. And they can very easily make mistakes.For the latest news and more, follow HuffPost India on Twitter, Facebook, and subscribe to our newsletter.This isn’t something new either—we’ve seen these issues come up again and again over the years. When Google Photos launched image recognition in 2015, it labelled two black women as gorillas. Google was quick to put out a press release stating it was taking care of the issue. But it could not resolve it till 2018, and the solution to the problem was to remove the word gorilla from the system!One of the simplest examples of the unconscious decisions that people make that can be quite harmful is a soap dispenser that only worked for white people — it worked by emitting a small beam of light, and when this was reflected back at a sensor, it would release some soap. On dark skin, not enough light was reflected back, so the soap didn’t come.A soap dispenser not working because of a poorly thought out algorithm might seem trivial, but we’re using algorithms to determine just about everything now. Facial recognition systems are based on machine-learning computer vision algorithms, and are being used to interrogate and detain people — even though the systems only have 2-3% accuracy, according to the government itself.How algorithmic bias leads to unethical situationsWe think of these algorithms as highly impartial and well thought out systems, but that’s actually very misleading. The machine learning systems are not omniscient intelligences, which is how technologists often present them, but a better metaphor is that these systems are like babies that start off not knowing much. They then learn the lessons that we teach them—often including the things that we didn’t intend to teach them, a problem called overfitting. That’s where we come up against the problem of inherent bias in all humans—algorithms can’t be unbiased, because the training data used to make the AI systems is also biased… because the humans that created it have their own biases.Bhuvana M. Koteeswaran, researcher at the Centre for Internet and Society, explained, “Machine-learning algorithms are created by humans who are themselves biased, and pass this on to the algorithms they create.” The difference between natural and artificial intelligence is that a person strongly biased against a group of people would avoid showing their bias for fear of social censure. An artificially intelligent system doesn’t feel the same restraint—and because we don’t understand how these systems work, the biases seem like rational, reasonable choices.This creates an uncomfortable as well as unethical situation. Systems are not unethical, even if they may be biased; the situations that get created are. Related... There's A New Problematic Dating Trend, One Based On DNA Matching Android Apps Steal Your Data—Even If You Deny Permission Getting Real About Artificial Intelligence Koteeswaran, who performs research on bridging the gender gap across Indic Wikimedia communities, said, “Women are especially vulnerable when it comes to artificial intelligence because most of them only understand their local language. Government will need to ensure that the systems are localised before they’re implemented.”Many engineers and data scientists claim not to know how the systems are learning or doing what they are doing. The term unexplainable AI is often used to explain such a situation. This is highly undesirable, especially in sensitive situations where it is essential to explain the system’s performance.For example, in the case of artificial intelligence systems used in the education field, someone must be able to explain how it is imparting that education, to refine and improve the system.A second and more effective method, which should also be the most preferred method of avoiding unethical situations, is creating data sets with minimum bias. Koteeswaran said, “the bias in training knowledge base can be minimised if we take diverse data in terms of diversity of culture, race, colour, gender, experience, and so on.” The fresh data that the system is exposed to can have biases of its own. To avoid biased outcomes, data sets need to be neutralized in a manner that these biases disappear, or are at least minimised as much as possible.Is it possible to prevent unethical situations?Tony Fish, visiting lecturer for AI and Ethics at LSE, said, “if we teach our kids morality then why not teach the machines? However there is a problem here—we are trying to build the moral philosophy for machines in a couple of weeks when we [humans] have taken almost 50,000 years to do so.”What this essentially means is that we are entering into a place where we haven’t developed a framework or moral philosophy for what we are building. This typically translates to building systems that could become potential weapons despite the original intent not being malicious. Related... India Has Big Data; But Poor Data Quality Hurts Real Development An Indian Start-Up Made A Robot Receptionist: Of Course She's A Woman Food Scientists Say AI Can Give Ayurveda Scientific Rigor Every technology is created with an intent to solve human problems. However, it has the potential to turn into a weapon against the same people. This should not mean we stop creating new technologies. What is needed is a debate on what we want. As Fish put it, “we need a debate not in terms of right and wrong, but what we want in terms of outcomes.”Pinaki Laskar, AI researcher, and CEO and Founder, FishEyeBox, a company that helps people compose original music with the help of AI, said, “If businesses want to survive, they will have to do this. If companies can allocate humongous resources to label the private data that maybe they are not even allowed to have, why can’t they allocate resources to ensure that as much of the bias as possible is removed  from the training data set?”Another way of managing ethics is to make public what is contained inside the so called AI black box. An example is the common voice program by Mozilla. Koteeswaran, who also works on this program, said, “anyone who wants to use the algorithm has complete access to it. Once the designers know how the algorithm works, they will be better equipped to develop their own unbiased systems over it.” Suggest a correction Shweta Shweta is a tech and lifestyle writer, who specializes in blogs, whitepapers and case studies. You can reach her at [email protected] MORE: artificial intelligence Machine Learning 💬 Comments Trending India’s Richest 1% Have 4 Times More Wealth Than Bottom 70%: Report Brad Pitt Jokes About Difficult Marriages At SAGs, Camera Cuts To Jennifer Aniston Who Failed JNU Students? Ex-Army Org, Cyclops Security Pass The Buck To Delhi Police NITI Aayog Member Claims He Was ‘Misquoted’ After Saying Kashmiris Use Internet ‘Only To Watch Dirty Films’ Arvind Kejriwal Fails To File Nomination Today For Delhi Elections. Here's Why What 'Shubh Mangal Zyada Saavdhan' Means To A Gay Man From Small-Town India Brad Pitt Stops To Watch Jennifer Aniston's SAG Awards Speech Backstage: 'Oh, Wow' Brad Pitt And Jennifer Aniston Reunited At SAG Awards And Twitter Needed A Moment Sophie Turner And Joe Jonas Are Bringing Ken And Barbie Vibes To SAG Awards Can AI Systems Be Unethical? The Answer Is Yes SIGN UP FOR THE DAILY BRIEF FROM HUFFPOST INDIA Get our top news delivered to your inbox every morning, Monday to Friday. Newsletters may offer personalized content or advertisements. Privacy Policy Newsletter Please enter a valid email address Thank you for signing up! You should receive an email to confirm your subscription shortly. There was a problem processing your signup; please try again later Facebook Twitter Youtube Snapchat Flipboard CLOSE SUBSCRIBE TO THE TECH NEWSLETTER Please enter a valid email address Thank you for signing up! You should receive an email to confirm your subscription shortly. There was a problem processing your signup; please try again later News Politics Entertainment Technology Books Life More RSS FAQ User Agreement (Updated) Privacy (Updated) About Us Contact Us Copyright © 2020 Huffington Post India Pvt. Ltd. All rights reserved. Part of HuffPost News Using a mobile device? Go to https://m.huffingtonpost.in/ for HuffPost Mobile.
Can AI Systems Be Unethical? The Answer Is Yes
Can AI Systems Be Unethical? The Answer Is Yes HuffPost India Australia Brasil Canada Espaa France Greece India Italia Japan Korea Qubec en franais United Kingdom United States India Edition CLOSE News Latest News Opinions Analysis Business World Politics BJP Congress Kerala Kashmir Uttar Pradesh Maharashtra Entertainment Reviews Bollywood Hollywood Malayalam Movies Tamil Movies What Watch Technology Aadhaar Privacy Data Gadgets Gaming Books Best Books Reviews Excerpts Features Life Health Relationships Style Food Adulting More iOS app Android app Breaking Free HuffPost Partner Studio Follow Terms Part HuffPost News News Politics Entertainment Technology Books Life Australia Brasil Canada Espaa France Greece India Italia Japan Korea Qubec en franais United Kingdom United States India Edition CLOSE News Politics Entertainment Technology Books Life TECH 20012020 4:15 PM IST Can AI Systems Be Unethical? The Answer Is Yes Artificial intelligence systems acquire human biases machine learning phase. What need frameworks neutralise biases. By Shweta gorodenkoff Getty ImagesRepresentative image.Recently, David Heinemeier Hansson, creator Ruby On Rails, tweeted got 20 times credit limit Apple Card wife, file joint taxes, credit history matches up. Apple cofounder Steve Wozniak replied thread, saying got 10 times credit limit wife separate banking credit card accounts, assets.In tweets, Hansson noted: She spoke Apple reps. Both nice, courteous people representing utterly broken reprehensible system. The person like I dont know why, I swear discriminating, algorithm.Its algorithm is, course, useful response. Algorithms arent advanced computing determining aspect lives, loan, eligible insurance discounts, youre going grilled police. And easily mistakes.For latest news more, follow HuffPost India onTwitter,Facebook, subscribe ournewsletter.This isnt new eitherweve seen issues come years. When Google Photos launched image recognition 2015, labelled black women gorillas. Google quick press release stating taking care issue. But resolve till 2018, solution problem remove word gorilla systemOne simplest examples unconscious decisions people harmful soap dispenser worked white people worked emitting small beam light, reflected sensor, release soap. On dark skin, light reflected back, soap didnt come.A soap dispenser working poorly thought algorithm trivial, algorithms determine now. Facial recognition systems based machinelearning vision algorithms, interrogate detain people systems 23 accuracy, according government itself.How algorithmic bias leads unethical situationsWe think algorithms highly impartial thought systems, thats actually misleading. The machine learning systems omniscient intelligences, technologists present them, better metaphor systems like babies start knowing much.They learn lessons teach themoften including things didnt intend teach them, problem called overfitting.Thats come problem inherent bias humansalgorithms unbiased, training data AI systems biased humans created biases.Bhuvana M. Koteeswaran, researcher Centre Internet Society, explained, Machinelearning algorithms created humans biased, pass algorithms create.The difference natural artificial intelligence person strongly biased group people avoid showing bias fear social censure. An artificially intelligent doesnt feel restraintand dont understand systems work, biases like rational, reasonable choices.This creates uncomfortable unethical situation. Systems unethical, biased; situations created are. Related... Theres A New Problematic Dating Trend, One Based On DNA Matching Android Apps Steal Your DataEven If You Deny Permission Getting Real About Artificial Intelligence Koteeswaran, performs research bridging gender gap Indic Wikimedia communities, said, Women especially vulnerable comes artificial intelligence understand local language. Government need ensure systems localised theyre implemented.Many engineers data scientists claim know systems learning doing. The term unexplainable AI explain situation. This highly undesirable, especially sensitive situations essential explain systems performance.For example, case artificial intelligence systems education field, able explain imparting education, refine improve system.A second effective method, preferred method avoiding unethical situations, creating data sets minimum bias. Koteeswaran said, bias training knowledge base minimised diverse data terms diversity culture, race, colour, gender, experience, on.The fresh data exposed biases own. To avoid biased outcomes, data sets need neutralized manner biases disappear, minimised possible.Is possible prevent unethical situations?Tony Fish, visiting lecturer AI Ethics LSE, said, teach kids morality teach machines? However problem herewe trying build moral philosophy machines couple weeks [humans] taken 50,000 years so.What essentially means entering place havent developed framework moral philosophy building. This typically translates building systems potential weapons despite original intent malicious. Related... India Has Big Data; But Poor Data Quality Hurts Real Development An Indian StartUp Made A Robot Receptionist: Of Course Shes A Woman Food Scientists Say AI Can Give Ayurveda Scientific Rigor Every technology created intent solve human problems. However, potential turn weapon people. This mean stop creating new technologies. What needed debate want.As Fish it, need debate terms right wrong, want terms outcomes.Pinaki Laskar, AI researcher, CEO Founder, FishEyeBox, company helps people compose original music help AI, said, If businesses want survive, this. If companies allocate humongous resources label private data maybe allowed have, allocate resources ensure bias possible removed training data set?Another way managing ethics public contained inside called AI black box. An example common voice program Mozilla. Koteeswaran, works program, said, wants use algorithm complete access it. Once designers know algorithm works, better equipped develop unbiased systems it. Suggest correction Shweta Shweta tech lifestyle writer, specializes blogs, whitepapers case studies. You reach shweta MORE: artificial intelligence Machine Learning Comments Trending Indias Richest 1 Have 4 Times More Wealth Than Bottom 70: Report Brad Pitt Jokes About Difficult Marriages At SAGs, Camera Cuts To Jennifer Aniston Who Failed JNU Students? ExArmy Org, Cyclops Security Pass The Buck To Delhi Police NITI Aayog Member Claims He Was Misquoted After Saying Kashmiris Use Internet Only To Watch Dirty Films Arvind Kejriwal Fails To File Nomination Today For Delhi Elections. Heres Why What Shubh Mangal Zyada Saavdhan Means To A Gay Man From SmallTown India Brad Pitt Stops To Watch Jennifer Anistons SAG Awards Speech Backstage: Oh, Wow Brad Pitt And Jennifer Aniston Reunited At SAG Awards And Twitter Needed A Moment Sophie Turner And Joe Jonas Are Bringing Ken And Barbie Vibes To SAG Awards Can AI Systems Be Unethical? The Answer Is Yes SIGN UP FOR THE DAILY BRIEF FROM HUFFPOST INDIA Get news delivered inbox morning, Monday Friday. Newsletters offer personalized content advertisements. Newsletter Please enter valid email address Thank signing You receive email confirm subscription shortly. There problem processing signup; try later Facebook Twitter Youtube Snapchat Flipboard CLOSE SUBSCRIBE TO THE TECH NEWSLETTER Please enter valid email address Thank signing You receive email confirm subscription shortly. There problem processing signup; try later News Politics Entertainment Technology Books Life More RSS FAQ User Agreement Updated Privacy Updated Us 2020 Huffington Post India Pvt. Ltd. . Part HuffPost News Using mobile device? Go HuffPost Mobile.
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https://www.thestreet.com/press-releases/irhythm-technologies-announces-nhs-funding-after-winning-artificial-intelligence-in-health-and-care-award-15420256
2020-09-08T00:00:00
en
IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care Award - TheStreet
IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care Award - 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 IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care AwardCompany selected from over 500 applicants in first-of-its-kind Digital Health Technologies PilotAuthor:GlobeNewswirePublish date:Sep 8, 2020 5:54 AM EDTSAN FRANCISCO and LONDON, Sept. 08, 2020 (GLOBE NEWSWIRE) -- iRhythm Technologies (IRTC) - Get Report, a leading digital health care solutions company focused on the advancement of cardiac care , has today been named a winner of the Artificial Intelligence (AI) in Health and Care Award . The announcement was made by Secretary of State for Health, Matt Hancock at London Tech Week's Founders Forum HealthTech Summit this morning. A competitive process run by the Accelerated Access Collaborate (AAC) as part of the NHS AI Lab - in partnership with NHSX and the National Institute for Health Research (NIHR) -  the award aims to benefit patients by combining the power of artificial intelligence with the expertise of the NHS to improve health and care outcomes. iRhythm will utilise the funding to trial its Zio service in selected sites - comprising trusts, CCG's and networks - across the UK. Throughout the three-year program, clinical, pathway and economic outcomes will be monitored and evaluated in order to inform any future commissioning decisions around the adoption of Zio within the NHS. Zio by iRhythm is a small, discreet and easy-to-use cardiac monitoring service, used to detect a range of arrhythmias quickly and accurately. The patch-like device can be fitted at home and provides uninterrupted, comprehensive monitoring of a patient's heartbeats as they go about their daily lives. Underpinned by artificial intelligence, it detects arrhythmias, at the first time of asking, saving lives and ensuring less pressure is placed upon NHS resources. Commenting on the win, Justin Hall, GM and VP EMEA at iRhythm Technologies said, "The UK is home to some of the most cutting-edge, life-changing medical technologies. However, it is still taking years for medical devices to go from clinical trial to wide-spread adoption, meaning neither patients nor practitioners are seeing the many benefits of these innovations. We're absolutely delighted to have been chosen as part of the pilot to change that. "Around 1.2 million people in the UK are registered with atrial fibrillation, with nearly half a million predicted to have AF undiagnosed. When treating these serious cardiac conditions, accurate and timely diagnoses can mean the difference between life and death. This funding is a step in the right direction in accelerating our Zio service to ensure that people have access to fast, critical care as and when they need it." Four phases of award are available to support AI solutions from initial feasibility to evaluation within NHS and social care settings. Phase 4 - of which iRhythm has been selected - is intended to identify AI technologies that need more evidence to merit large-scale commissioning or deployment. The AAC will work with NHS sites to support their adoption of these technologies, and stress test and evaluate them within routine clinical or operational pathways to determine their efficacy and accuracy, as well as their clinical and economic impact. The AI in Health and Care Award forms a key part of the AAC's ambition to establish a globally leading testing infrastructure for healthcare innovation in the UK. About iRhythm Technologies, Inc. iRhythm is a leading digital health care company redefining the way cardiac arrhythmias are clinically diagnosed. The company combines wearable biosensor devices worn for up to 14 days and cloud-based data analytics with powerful proprietary algorithms that distill data from millions of heartbeats into clinically actionable information. The company believes improvements in arrhythmia detection and characterization have the potential to change clinical management of patients. Forward-Looking StatementsThis news release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995, including statements regarding decisions around the adoption of Zio within the NHS and utilization of its resources. Such statements are based on current assumptions that involve risks and uncertainties that could cause actual outcomes and results to differ materially. These risks and uncertainties, many of which are beyond our control, include risks described in the section entitled "Risk Factors" and elsewhere in our filing made with the Securities and Exchange Commission on the Form 10-Q on May 8, 2020. These forward-looking statements speak only as of the date hereof and should not be unduly relied upon. iRhythm disclaims any obligation to update these forward-looking statements. Contact Information Media Hannah Lock Hotwire for iRhythm Technologies Email:  [email protected] Saige Smith  HighwirePR [email protected] Investors Leigh Salvo Gilmartin Group [email protected]   By GlobeNewswireTerms Of UsePrivacy PolicyAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions© 2020 TheStreet, Inc. All rights reserved. Action Alerts PLUS is a registered trademark of TheStreet, Inc.
IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care Award
IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care Award 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 IRhythm Technologies Announces NHS Funding After Winning Artificial Intelligence In Health And Care AwardCompany selected 500 applicants firstofitskind Digital Health Technologies PilotAuthor:GlobeNewswirePublish date:Sep 8, 2020 5:54 AM EDTSAN FRANCISCOandLONDON, Sept. 08, 2020 GLOBE NEWSWIRE iRhythm Technologies IRTC Get Report, leading digital health care solutions company focused advancement cardiac care , today named winner Artificial Intelligence AI Health Care Award . The announcement Secretary State Health, Matt Hancock London Tech Weeks Founders Forum HealthTech Summit morning. A competitive process run Accelerated Access Collaborate AAC NHS AI Lab partnership NHSX National Institute Health Research NIHR award aims benefit patients combining power artificial intelligence expertise NHS improve health care outcomes. iRhythm utilise funding trial Zio service selected sites comprising trusts, CCGs networks UK. Throughout threeyear program, clinical, pathway economic outcomes monitored evaluated order inform future commissioning decisions adoption Zio NHS. Zio iRhythm small, discreet easytouse cardiac monitoring service, detect range arrhythmias quickly accurately. The patchlike device fitted home provides uninterrupted, comprehensive monitoring patients heartbeats daily lives. Underpinned artificial intelligence, detects arrhythmias, time asking, saving lives ensuring pressure placed NHS resources. Commenting win, Justin Hall, GM VP EMEA iRhythm Technologies said, The UK home cuttingedge, lifechanging medical technologies. However, taking years medical devices clinical trial widespread adoption, meaning patients practitioners seeing benefits innovations. Were absolutely delighted chosen pilot change that. Around 1.2 million people UK registered atrial fibrillation, nearly half million predicted AF undiagnosed. When treating cardiac conditions, accurate timely diagnoses mean difference life death. This funding step right direction accelerating Zio service ensure people access fast, critical care need it. Four phases award available support AI solutions initial feasibility evaluation NHS social care settings. Phase 4 iRhythm selected intended identify AI technologies need evidence merit largescale commissioning deployment. The AAC work NHS sites support adoption technologies, stress test evaluate routine clinical operational pathways determine efficacy accuracy, clinical economic impact. The AI Health Care Award forms key AACs ambition establish globally leading testing infrastructure healthcare innovation UK. About iRhythm Technologies, . iRhythm leading digital health care company redefining way cardiac arrhythmias clinically diagnosed. The company combines wearable biosensor devices worn 14 days cloudbased data analytics powerful proprietary algorithms distill data millions heartbeats clinically actionable information. The company believes improvements arrhythmia detection characterization potential change clinical management patients. ForwardLooking StatementsThis news release contains forwardlooking statements meaning Section 27A Securities Act 1933 Section 21E Securities Exchange Act 1934 Private Securities Litigation Reform Act 1995, including statements decisions adoption Zio NHS utilization resources. Such statements based current assumptions involve risks uncertainties cause actual outcomes results differ materially. These risks uncertainties, control, include risks described section entitled Risk Factors filing Securities Exchange Commission Form 10Q May 8, 2020. These forwardlooking statements speak date hereof unduly relied upon. iRhythm disclaims obligation update forwardlooking statements. Information Media Hannah Lock Hotwire iRhythm Technologies Email: irhythmuk Saige Smith HighwirePR irhythm Investors Leigh Salvo Gilmartin Group investors By GlobeNewswireTerms Of UseAdvertiseReprintsCustomer ServiceDataTopic ArchiveSubscriptions 2020 TheStreet, . . Action Alerts PLUS registered trademark TheStreet, .
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329
https://murphyshockeylaw.net/uncategorized/238702/visual-ai-analysis-market-size-and-forecast-2020-2026-with-post-impact-of-covid-19-by-top-leading-players-aquificambriconclarifaicloudsightdatarobotdeepvisionaiedgeqeyeem/
2020-12-05T00:00:00
en
Visual AI Analysis Market Size And Forecast (2020-2026)| With Post Impact Of Covid-19 By Top Leading Players- Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm – Murphy's Hockey Law
Visual AI Analysis Market Size And Forecast (2020-2026)| With Post Impact Of Covid-19 By Top Leading Players- Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm – Murphy's Hockey Law Skip to content December 5, 2020 Murphy's Hockey Law Primary Menu All News Energy News Space Contact Search for: HomeAll NewsVisual AI Analysis Market Size And Forecast (2020-2026)| With Post Impact Of Covid-19 By Top Leading Players- Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm All News News Visual AI Analysis Market Size And Forecast (2020-2026)| With Post Impact Of Covid-19 By Top Leading Players- Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm 4 min read 1 hour ago [email protected] This report studies the Visual AI Analysis Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Visual AI Analysis Market analysis segmented by companies, region, type and applications in the report. The report offers valuable insight into the Visual AI Analysis market progress and approaches related to the Visual AI Analysis market with an analysis of each region. The report goes on to talk about the dominant aspects of the market and examine each segment. Key Players: Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm,EyeSight,Graphcore,Hawk-Eye,Huawei,Megvii,Mighty AI,Nauto,Onfido,SambaNova,SenseTime,Verkada. Get a Free Sample Copy @ https://www.reportsandmarkets.com/sample-request/covid-19-impact-on-global-visual-ai-analysis-market-report-history-and-forecast-2015-2026-breakdown-data-by-companies-key-regions-types-and-application?utm_source=canaanmountainherald&utm_medium=46 The global Visual AI Analysis market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Visual AI Analysis market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type, and by Application for the period 2020-2026. Market Segment by Regions, regional analysis covers North America (United States, Canada and Mexico) Europe (Germany, France, UK, Russia and Italy) Asia-Pacific (China, Japan, Korea, India and Southeast Asia) South America (Brazil, Argentina, Colombia etc.) Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Research objectives: To study and analyze the global Visual AI Analysis market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2026. To understand the structure of Visual AI Analysis market by identifying its various sub segments. Focuses on the key global Visual AI Analysis players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years. To analyze the Visual AI Analysis with respect to individual growth trends, future prospects, and their contribution to the total market. To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks). To project the size of Visual AI Analysis submarkets, with respect to key regions (along with their respective key countries). To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market. To strategically profile the key players and comprehensively analyze their growth strategies. The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market. Table of Contents: Visual AI Analysis Market Chapter 1: Overview of Visual AI Analysis Market Chapter 2: Global Market Status and Forecast by Regions Chapter 3: Global Market Status and Forecast by Types Chapter 4: Global Market Status and Forecast by Downstream Industry Chapter 5: Market Driving Factor Analysis Chapter 6: Market Competition Status by Major Manufacturers Chapter 7: Major Manufacturers Introduction and Market Data Chapter 8: Upstream and Downstream Market Analysis Chapter 9: Cost and Gross Margin Analysis Chapter 10: Marketing Status Analysis Chapter 11: Market Report Conclusion Chapter 12: Research Methodology and Reference Key questions answered in this report What will the market size be in 2026 and what will the growth rate be? What are the key market trends? What is driving this market? What are the challenges to market growth? Who are the key vendors in this market space? What are the market opportunities and threats faced by the key vendors? What are the strengths and weaknesses of the key vendors? Get complete Report @ https://www.reportsandmarkets.com/sample-request/covid-19-impact-on-global-visual-ai-analysis-market-report-history-and-forecast-2015-2026-breakdown-data-by-companies-key-regions-types-and-application?utm_source=canaanmountainherald&utm_medium=46 About Us: 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. The database of the company is updated on a daily basis. Our database contains a variety of industry verticals that include: Food Beverage, Automotive, Chemicals and Energy, IT & Telecom, Consumer, Healthcare, and many more. Each and every report goes through the appropriate research methodology, Checked from the professionals and analysts. Contact Us: Sanjay Jain Manager – Partner Relations & International Marketing www.reportsandmarkets.com Ph: +1-352-353-0818 (US) Tags: #Visual AI Analysis forecast #Visual AI Analysis industry #Visual AI Analysis market #Visual AI Analysis market share #Visual AI Analysis price #Visual AI Analysis report #Visual AI Analysis research #Visual AI Analysis share #Visual AI Analysis tends Continue Reading Previous Stacked CMOS Image Sensor Market Incredible Possibilities, Growth Analysis and Forecast To 2028 – Panasonic, Samsung Electronics, Canon, OmniVision TechnologiesNext Spectral Computed Tomography (CT) Market Research Report Analysis and Forecasts to 2028 – Agilent Technologies, Koninklijke Philips, Neusoft Medical Systems, General Electric More Stories 3 min read All News Personal Care Polymer Ingredients Market Research 2020 Report | Growth Forecast 2028 : Top Companies- Lubrizol, Dow Chemical, BASF, Ashland 2 seconds ago amit 3 min read All News Wealth Management Market May See Big Move | Alpha Capital, Bajaj Capital, Karvy Private Wealth 17 seconds ago craig 3 min read All News Polyurethane Tooling Board Market Set to Register healthy CAGR During 2020-2028 – Axson, Coastal, General Plastic Manufacturing, OBO-Werke 23 seconds ago amit Search for: Recent Posts Auto Draft Personal Care Polymer Ingredients Market Research 2020 Report | Growth Forecast 2028 : Top Companies- Lubrizol, Dow Chemical, BASF, Ashland Wealth Management Market May See Big Move | Alpha Capital, Bajaj Capital, Karvy Private Wealth Polyurethane Tooling Board Market Set to Register healthy CAGR During 2020-2028 – Axson, Coastal, General Plastic Manufacturing, OBO-Werke Comprehensive Report on Retail Machine Vision Market 2020 | Size, Growth, Demand, Opportunities & Forecast To 2026 | Datalogic, Microscan Systems, Allied Vision Technologies, Basler, Edmund Optics You may have missed All News News Auto Draft 1 second ago kumar 3 min read All News Personal Care Polymer Ingredients Market Research 2020 Report | Growth Forecast 2028 : Top Companies- Lubrizol, Dow Chemical, BASF, Ashland 2 seconds ago amit 3 min read All News Wealth Management Market May See Big Move | Alpha Capital, Bajaj Capital, Karvy Private Wealth 17 seconds ago craig 3 min read All News Polyurethane Tooling Board Market Set to Register healthy CAGR During 2020-2028 – Axson, Coastal, General Plastic Manufacturing, OBO-Werke 23 seconds ago amit All News Energy News Space Contact Copyright © All rights reserved. | Newsphere by AF themes.
Visual AI Analysis Market Size And Forecast (2020-2026)
Visual AI Analysis Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading Players Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm Murphys Hockey Law Skip content December 5, 2020 Murphys Hockey Law Primary Menu All News Energy News Space for: HomeAll NewsVisual AI Analysis Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading Players Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm All News News Visual AI Analysis Market Size And Forecast 20202026 With Post Impact Of Covid19 By Top Leading Players Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm 4 min read 1 hour ago [emailprotected] This report studies Visual AI Analysis Market aspects industry like market size, market status, market trends forecast, report provides brief information competitors specific growth opportunities key market drivers. Find complete Visual AI Analysis Market analysis segmented companies, region, type applications report. The report offers valuable insight Visual AI Analysis market progress approaches related Visual AI Analysis market analysis region. The report goes talk dominant aspects market examine segment. Key Players:Aquifi,Cambricon,Clarifai,CloudSight,Datarobot,Deepvisionai,EdgeQ,EyeEm,EyeSight,Graphcore,HawkEye,Huawei,Megvii,Mighty AI,Nauto,Onfido,SambaNova,SenseTime,Verkada. Get Free Sample Copy @ The global Visual AI Analysis market segmented company, region country, Type, Application. Players, stakeholders, participants global Visual AI Analysis market able gain upper hand use report powerful resource. The segmental analysis focuses revenue forecast region country, Type, Application period 20202026. Market Segment Regions, regional analysis covers North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea, India Southeast Asia South America Brazil, Argentina, Colombia etc. Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Research objectives: To study analyze global Visual AI Analysis market size key regionscountries, product type application, history data 2013 2017, forecast 2026. To understand structure Visual AI Analysis market identifying sub segments. Focuses key global Visual AI Analysis players, define, analyze value, market share, market competition landscape, SWOT analysis development plans years. To analyze Visual AI Analysis respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project size Visual AI Analysis submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches acquisitions market. To strategically profile key players comprehensively analyze growth strategies. The report lists major players regions respective market share basis global revenue. It explains strategic moves past years, investments product innovation, changes leadership stay ahead competition. This reader edge wellinformed decision looking holistic picture market. Table Contents: Visual AI Analysis Market Chapter 1: Overview Visual AI Analysis Market Chapter 2: Global Market Status Forecast Regions Chapter 3: Global Market Status Forecast Types Chapter 4: Global Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Chapter 6: Market Competition Status Major Manufacturers Chapter 7: Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Chapter 9: Cost Gross Margin Analysis Chapter 10: Marketing Status Analysis Chapter 11: Market Report Conclusion Chapter 12: Research Methodology Reference Key questions answered report What market size 2026 growth rate be? What key market trends? What driving market? What challenges market growth? Who key vendors market space? What market opportunities threats faced key vendors? What strengths weaknesses key vendors? Get complete Report @ : Reports 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. The database company updated daily basis. Our database contains variety industry verticals include: Food Beverage, Automotive, Chemicals Energy, IT Telecom, Consumer, Healthcare, more. Each report goes appropriate research methodology, Checked professionals analysts. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Tags: Visual AI Analysis forecast Visual AI Analysis industry Visual AI Analysis market Visual AI Analysis market share Visual AI Analysis price Visual AI Analysis report Visual AI Analysis research Visual AI Analysis share Visual AI Analysis tends Continue Reading Previous Stacked CMOS Image Sensor Market redible Possibilities, Growth Analysis Forecast To 2028 Panasonic, Samsung Electronics, Canon, OmniVision TechnologiesNext Spectral Computed Tomography CT Market Research Report Analysis Forecasts 2028 Agilent Technologies, Koninklijke Philips, Neusoft Medical Systems, General Electric More Stories 3 min read All News Personal Care Polymer Ingredients Market Research 2020 Report Growth Forecast 2028 : Top Companies Lubrizol, Dow Chemical, BASF, Ashland 2 seconds ago amit 3 min read All News Wealth Management Market May See Big Move Alpha Capital, Bajaj Capital, Karvy Private Wealth 17 seconds ago craig 3 min read All News Polyurethane Tooling Board Market Set healthy CAGR During 20202028 Axson, Coastal, General Plastic Manufacturing, OBOWerke 23 seconds ago amit for: Recent Posts Auto Draft Personal Care Polymer Ingredients Market Research 2020 Report Growth Forecast 2028 : Top Companies Lubrizol, Dow Chemical, BASF, Ashland Wealth Management Market May See Big Move Alpha Capital, Bajaj Capital, Karvy Private Wealth Polyurethane Tooling Board Market Set healthy CAGR During 20202028 Axson, Coastal, General Plastic Manufacturing, OBOWerke Comprehensive Report Retail Machine Vision Market 2020 Size, Growth, Demand, Opportunities Forecast To 2026 Datalogic, Microscan Systems, Allied Vision Technologies, Basler, Edmund Optics You missed All News News Auto Draft 1 second ago kumar 3 min read All News Personal Care Polymer Ingredients Market Research 2020 Report Growth Forecast 2028 : Top Companies Lubrizol, Dow Chemical, BASF, Ashland 2 seconds ago amit 3 min read All News Wealth Management Market May See Big Move Alpha Capital, Bajaj Capital, Karvy Private Wealth 17 seconds ago craig 3 min read All News Polyurethane Tooling Board Market Set healthy CAGR During 20202028 Axson, Coastal, General Plastic Manufacturing, OBOWerke 23 seconds ago amit All News Energy News Space . 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https://www.finanznachrichten.de/nachrichten-2020-06/49871191-global-artificial-intelligence-ai-chips-market-2020-2024-increasing-adoption-of-ai-chips-in-data-centers-to-boost-market-growth-technavio-004.htm
2020-06-09T00:00:00
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Global Artificial Intelligence (AI) Chips Market 2020-2024 | Increasing Adoption of AI Chips in Data Centers to Boost Market Growth | Technavio
Global Artificial Intelligence (AI) Chips Market 2020-2024 | Increasing Adoption of AI Chips in Data Centers to Boost Market Growth | TechnavioAnzeige❌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?Dienstag, 09.06.2020 Börsentäglich über 12.000 News von 629 internationalen MedienErweiterteSucheDie "Bierautoritäten" Oettinger, Weihenstephan und dieser Cannabis-Microcap!AnzeigeIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Nachrichten»Global Artificial Intelligence (AI) Chips Market 2020-2024 | Increasing Adoption of AI Chips in Data Centers to Boost Market Growth | TechnavioFN als StartseiteBusiness Wire09.06.2020 | 11:0356 LeserArtikel bewerten:(0)Global Artificial Intelligence (AI) Chips Market 2020-2024 | Increasing Adoption of AI Chips in Data Centers to Boost Market Growth | TechnavioThe global artificial intelligence (AI) chips market size is expected to grow by USD 54.03 billion during 2020-2024. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. We expect the impact to be significant in the first quarter but gradually lessen in subsequent quarters with a limited impact on the full-year economic growth. Request a free sample report This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200609005066/en/Technavio has announced its latest market research report titled Global Artificial Intelligence (AI) Chips Market 2020-2024 (Graphic: Business Wire) The growth in the generation of large volumes of data has increased the deployment of data centers across the world. As data centers process massive amounts of data, the need for improving their efficiency and reducing operational costs has become imperative. Hence, data center operators are increasingly adopting AI technologies to improve energy efficiency, infrastructure management, server optimization, security, and others. This is encouraging market vendors to introduce AI chips specifically designed for data center applications, which is driving the growth of the market. To learn more about the global trends impacting the future of market research, download a free sample: https://www.technavio.com/talk-to-us?report=IRTNTR41328 As per Technavio, the convergence of IoT and AI will have a positive impact on the market and contribute to its growth significantly over the forecast period. This research report also analyzes other significant trends and market drivers that will influence market growth over 2020-2024. Artificial Intelligence (AI) Chips Market: Convergence of IoT and AI IoT device manufacturers are integrating HMI technologies in devices such as cameras, drones, smart speakers, smartphones, smart TVs, and others. This has created the need for integrating AI chips in these devices to make real-time decisions. With the growing number of smart city projects and smart homes, the adoption of IoT devices will increase significantly during the forecast period. This will have a positive impact on the growth of the global artificial intelligence (AI) chips market. "Increasing investments in AI start-ups and the growing advances in the quantum computing market will have a significant impact on the growth of the artificial intelligence market value during the forecast period," says a senior analyst at Technavio. Register for a free trial today and gain instant access to 17,000+ market research reports Technavio's SUBSCRIPTION platform Artificial Intelligence (AI) Chips Market: Segmentation Analysis This market research report segments the artificial intelligence chips market by product (GPUs, ASICs, CPUs, and FPGAs) and geography (North America, Europe, APAC, South America, and MEA). The North American region led the artificial intelligence chips market share in 2019, followed by Europe, APAC, South America, and MEA respectively. During the forecast period, the North American region is expected to register the highest incremental growth due to the increasing investments in autonomous vehicles, and artificial intelligence technology. Technavio's sample reports are free of charge and contain multiple sections of the report, such as the market size and forecast, drivers, challenges, trends, and more. Request a free sample report Some of the key topics covered in the report include: Market Drivers Market Challenges Market Trends Vendor Landscape Vendors covered Vendor classification Market positioning of vendors Competitive scenario About Technavio Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios. View source version on businesswire.com: https://www.businesswire.com/news/home/20200609005066/en/Contacts:Technavio Research Jesse Maida Media Marketing Executive US: +1 844 364 1100 UK: +44 203 893 3200 Email: [email protected] Website: www.technavio.com/ Jetzt für 0€ handeln - auf Smartbroker.de© 2020 Business WireSie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.615.0Wie 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, bevor sie eine Anlageentscheidung treffen, um sich möglichst umfassend zu informieren, insbesondere über die potenziellen Risiken und Chancen des Wertpapiers. 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Global Artificial Intelligence (AI) Chips Market 2020-2024
Global Artificial Intelligence AI Chips Market 20202024 reasing Adoption AI Chips Data Centers Boost Market Growth TechnavioAnzeigeMehr 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?Dienstag, 09.06.2020 Brsentglich ber 12.000 News von 629 internationalen MedienErweiterteSucheDie Bierautoritten Oettinger, Weihenstephan und dieser CannabisMicrocapAnzeigeIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:NachrichtenGlobal Artificial Intelligence AI Chips Market 20202024 reasing Adoption AI Chips Data Centers Boost Market Growth TechnavioFN als StartseiteBusiness Wire09.06.2020 11:0356 LeserArtikel bewerten:0Global Artificial Intelligence AI Chips Market 20202024 reasing Adoption AI Chips Data Centers Boost Market Growth TechnavioThe global artificial intelligence AI chips market size expected grow USD 54.03 billion 20202024. The report provides market impact new opportunities created COVID19 pandemic. We expect impact significant quarter gradually lessen subsequent quarters limited impact fullyear economic growth. Request free sample report This press release features multimedia. View release here: announced latest market research report titled Global Artificial Intelligence AI Chips Market 20202024 Graphic: Business Wire The growth generation large volumes data increased deployment data centers world. As data centers process massive amounts data, need improving efficiency reducing operational costs imperative. Hence, data center operators increasingly adopting AI technologies improve energy efficiency, infrastructure management, server optimization, security, others. This encouraging market vendors introduce AI chips specifically designed data center applications, driving growth market. To learn global trends impacting future market research, download free sample: As Technavio, convergence IoT AI positive impact market contribute growth significantly forecast period. This research report analyzes significant trends market drivers influence market growth 20202024. Artificial Intelligence AI Chips Market: Convergence IoT AI IoT device manufacturers integrating HMI technologies devices cameras, drones, smart speakers, smartphones, smart TVs, others. This created need integrating AI chips devices realtime decisions. With growing number smart city projects smart homes, adoption IoT devices increase significantly forecast period. This positive impact growth global artificial intelligence AI chips market. reasing investments AI startups growing advances quantum computing market significant impact growth artificial intelligence market value forecast period, says senior analyst Technavio. free trial today gain instant access 17,000 market research reports Technavios SUBSCRIPTION platform Artificial Intelligence AI Chips Market: Segmentation Analysis This market research report segments artificial intelligence chips market product GPUs, ASICs, CPUs, FPGAs geography North America, Europe, APAC, South America, MEA. The North American region led artificial intelligence chips market share 2019, followed Europe, APAC, South America, MEA respectively. During forecast period, North American region expected register highest incremental growth increasing investments autonomous vehicles, artificial intelligence technology. Technavios sample reports free charge contain multiple sections report, market size forecast, drivers, challenges, trends, more. Request free sample report Some key topics covered report include: Market Drivers Market Challenges Market Trends Vendor Landscape Vendors covered Vendor classification Market positioning vendors Competitive scenario About Technavio Technavio leading global technology research advisory company. Their research analysis focus emerging market trends provides actionable insights help businesses identify market opportunities develop effective strategies optimize market positions. With 500 specialized analysts, Technavios report library consists 17,000 reports counting, covering 800 technologies, spanning 50 countries. Their client base consists enterprises sizes, including 100 Fortune 500 companies. This growing client base relies Technavios comprehensive coverage, extensive research, actionable market insights identify opportunities existing potential markets assess competitive positions changing market scenarios. View source version : Research Jesse Maida Media Marketing Executive US: 1 844 364 1100 UK: 44 203 893 3200 Email: media Website: Jetzt fr 0 handeln auf Smartbroker.de2020Business WireSie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.615.0Wie 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. 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https://techcrunch.com/2020/12/19/mixtape-podcast-artificial-intelligence-and-disability/
2020-12-20T00:00:00
en
Mixtape podcast: Artificial intelligence and disability – TechCrunch
Mixtape podcast: Artificial intelligence and disability – TechCrunch Mixtape podcast: Artificial intelligence and disability Henry Pickavet Megan Rose Dickey 8 hours  Welcome back to Mixtape, the TechCrunch podcast that looks at the human element that powers technology. For this episode we spoke with Meredith Whittaker, co-founder of the AI Now Institute and Minderoo Research Professor at NYU; Mara Mills, associate professor of Media, Culture and Communication at NYU and co-director of the NYU Center for Disability Studies; and Sara Hendren, professor at Olin College of Engineering and author of the recently published What Can a Body Do: How We Meet the Built World. It was a wide-ranging discussion about artificial intelligence and disability. Hendren kicked us off by exploring the distinction between the medical and social models of disability: So in a medical model of disability, as articulated in disability studies, the idea is just that disability is a kind of condition or an impairment or something that’s going on with your body that takes it out of the normative average state of the body says something in your sensory makeup or mobility or whatever is impaired, and therefore, the disability kind of lives on the body itself. But in a social model of disability, it’s just an invitation to widen the aperture a little bit and include, not just the body itself and what it what it does or doesn’t do biologically. But also the interaction between that body and the normative shapes of the world. When it comes to technology, Mills says, some companies work squarely in the realm of the medical model with the goal being a total cure rather than just accommodation, while other companies or technologies – and even inventors – will work more in the social model with the goal of transforming the world and create an accommodation. But despite this, she says, they still tend to have “fundamentally normative or mainstream ideas of function and participation rather than disability forward ideas.” “The question with AI, and also just with old mechanical things like Brailers I would say, would be are we aiming to perceive the world in different ways, in blind ways, in minoritarian ways? Or is the goal of the technology, even if it’s about making a social, infrastructural change still about something standard or normative or seemingly typical? And that’s — there are very few technologies, probably for financial reasons, that are really going for the disability forward design.” As Whittaker notes, AI by its nature is fundamentally normative. “It draws conclusions from large sets of data, and that’s the world it sees, right? And it looks at what’s most average in this data and what’s an outlier. So it’s something that is consistently replicating these norms, right? If it’s trained on the data, and then it gets an impression from the world that doesn’t match the data it’s already seen, that impression is going to be an outlier. It won’t recognize that it won’t know how to treat that. Right. And there are a lot of complexities here. But I think, I think that’s something we have to keep in mind as sort of a nucleus of this technology, when we talk about its potential applications in and out of these sorts of capitalist incentives, like what is it capable of doing? What does it do? What does it act like? And can we think about it, you know, ever possibly in company encompassing the multifarious, you know, huge amounts of ways that disability manifests or doesn’t manifest.” We talked about this and much much more on the latest episode of Mixtape, so you click play above and dig right in. And then subscribe wherever you listen to podcasts.      
Mixtape podcast: Artificial intelligence and disability
Mixtape podcast: Artificial intelligence disability TechCrunch Mixtape podcast: Artificial intelligence disability Henry Pickavet Megan Rose Dickey 8 hours Welcome Mixtape, TechCrunch podcast looks human element powers technology. For episode spoke Meredith Whittaker, cofounder AI Now Institute Minderoo Research Professor NYU; Mara Mills, associate professor Media, Culture Communication NYU codirector NYU Center Disability Studies; Sara Hendren, professor Olin College Engineering author recently published What Can Body Do: How We Meet Built World. It wideranging discussion artificial intelligence disability. Hendren kicked exploring distinction medical social models disability: So medical model disability, articulated disability studies, idea disability kind condition impairment thats going body takes normative average state body says sensory makeup mobility impaired, therefore, disability kind lives body itself. But social model disability, invitation widen aperture little bit include, body doesnt biologically. But interaction body normative shapes world. When comes technology, Mills says, companies work squarely realm medical model goal total cure accommodation, companies technologies inventors work social model goal transforming world create accommodation. But despite this, says, tend fundamentally normative mainstream ideas function participation disability forward ideas. The question AI, old mechanical things like Brailers I say, aiming perceive world different ways, blind ways, minoritarian ways? Or goal technology, making social, infrastructural change standard normative seemingly typical? And thats technologies, probably financial reasons, going disability forward design. As Whittaker notes, AI nature fundamentally normative. It draws conclusions large sets data, thats world sees, right? And looks whats average data whats outlier. So consistently replicating norms, right? If trained data, gets impression world doesnt match data seen, impression going outlier. It wont recognize wont know treat that. Right. And lot complexities here. But I think, I think thats mind sort nucleus technology, talk potential applications sorts capitalist incentives, like capable doing? What do? What act like? And think it, know, possibly company encompassing multifarious, know, huge amounts ways disability manifests doesnt manifest. We talked latest episode Mixtape, click play dig right in. And subscribe listen podcasts.
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https://www.latestly.com/technology/indias-raise-2020-artificial-intelligence-summit-delayed-due-to-coronavirus-pandemic-1622219.html
2020-03-20T00:00:00
en
India's RAISE 2020 Artificial Intelligence Summit Delayed Due To Coronavirus Pandemic | 📲 LatestLY
India's RAISE 2020 Artificial Intelligence Summit Delayed Due To Coronavirus Pandemic | 📲 LatestLY Live Breaking News: Lucknow: Offices, Institutions to Remain Closed in Khurram Nagar After Detection of Four COVID-19 Cases: Live Breaking News Headlines & Updates, March 20, 2020 English हिन्दी मराठी বাংলা తెలుగు Friday, March 20, 2020 Latest Stories 45 seconds ago India's RAISE 2020 Artificial Intelligence Summit Delayed Due To Coronavirus Pandemic Kanika Kapoor Diagnosed With COVID-19, Singer Alleges Doctors Have Threatened Her With Police Action Due to Online Rumours Delhi Metro Services to Remain Suspended During 'Janata Curfew' on March 22 Amid Coronavirus Outbreak Amitabh Bachchan Shares a Throwback Picture Dressed As Superman, Wishes He Could Turn Into a Superhero and Fight Coronavirus Lucknow: Offices, Institutions to Remain Closed in Khurram Nagar After Detection of Four COVID-19 Cases: Live Breaking News Headlines & Updates, March 20, 2020 PK Banerjee Demise: ‘Indian Football Will Never Forget You’ Netizens Pay Tribute to Legendary Figure Coronavirus Outbreak: Odisha CM Naveen Patnaik's Sister Remains in Home Isolation After Return From US DMRC Announces to Close Metro Train Services in NCR During Janata Curfew on Sunday: Coronavirus Outbreak Live News Updates on March 20, 2020 What Is Haft-Sin? This Nowruz 2020, Know All About the 7 ‘S’ of Haft Seen Table and Its Significance Japanese Artists Draw Mythical ‘Amabie’ to Ward Off Coronavirus From the Face of Earth! (See Pictures) 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 COVID19: Kanika Kapoor Alleges Doctors Have Threatened Her With Police Action Due to Online Rumours COVID-19 Effect: Shabana Azmi Under Self-Quarantine till March 30 After Returning From Budapest Big B Wants To Turn Into A Superman and Fight Coronavirus! NASA Suspends Work on Moon Rocket PK Banerjee Demise: ‘Indian Football Will Never Forget You’ Fans Pay Tribute to Legendary Figure India Delhi Metro Services to Remain Suspended During 'Janata Curfew' on March 22 Amid Coronavirus Outbreak Lucknow: Offices, Institutions to Remain Closed in Khurram Nagar After Detection of Four COVID-19 Cases: Live Breaking News Headlines & Updates, March 20, 2020 Coronavirus Outbreak: Odisha CM Naveen Patnaik's Sister Remains in Home Isolation After Return From US DMRC Announces to Close Metro Train Services in NCR During Janata Curfew on Sunday: Coronavirus Outbreak Live News Updates on March 20, 2020 Nirbhaya Case Shows Loopholes in Judicial System, Says Delhi CM Arvind Kejriwal World Coronavirus Outbreak: China to Hold VC With 10 Countries in Eurasia & South Asia, Including India on Prevention & Control of COVID-19 Today US Fast-Tracking Antimalarials Drugs to Treat Coronavirus Donald Trump Blames China for Spreading Coronavirus COVID-19 Pandemic: Donald Trump Cancels In-person G7, Summit to Be Held Via Video-Conference Magnitude 5.9 Earthquake Hits Tibet Near Nepal Border Technology India's RAISE 2020 Artificial Intelligence Summit Delayed Due To Coronavirus Pandemic NASA Suspends Work on Moon Rocket Due to Coronavirus Pandemic IPL 2020 Postponement Delays Disney+ Hotstar India Launch Instagram Working on Disappearing Stories Feature: Report Nokia 5.3, Nokia 1.3, Nokia 8.3 5G & Nokia 5310 Launched; Check Prices, Features, Variants & Specifications Auto Driving License Tests Discontinued in Maharashtra Amid Coronavirus Scare, Govt Asks RTOs to Halt Process Volkswagen T-ROC SUV Launching Tomorrow in India; Expected Prices, Features & Specifications 2020 Hyundai Creta SUV Launched in India at Rs 9.99 Lakh; Prices, Features & Specifications 2020 Hyundai Creta SUV Launching in India Tomorrow; Expected Prices, Features, Colours, Variants & Specifications 2020 Bajaj Dominar 250 Motorcycle Officially Launched in India; Check Prices, Features & Specifications Sports PK Banerjee Demise: ‘Indian Football Will Never Forget You’ Netizens Pay Tribute to Legendary Figure Kusal Mendis Shares Video of Washing Hands Amid Coronavirus Threat, But Twitterati Unhappy With Sri Lankan Batsman Over Water Wastage Coronavirus: FA Extends Suspension of Premier League, English Football Season Until April 30 Darren Sammy Wears an Alien Mask to Fight COVID-19 (Watch Video) Indian Broadcast Crew of 29, Covering PSL 2020 in Pakistan Denied Entry Into Country Amid Coronavirus Outbreak: Report Entertainment Kanika Kapoor Diagnosed With COVID-19, Singer Alleges Doctors Have Threatened Her With Police Action Due to Online Rumours COVID-19 Effect: Shabana Azmi Under Self-Quarantine till March 30 After Returning From Budapest (Read Tweet) Amitabh Bachchan Shares a Throwback Picture Dressed As Superman, Wishes He Could Turn Into a Superhero and Fight Coronavirus COVID-19 Outbreak: Monali Thakur Stuck in Switzerland after Flights Get Cancelled; Singer Also Clarifies That She is Fit and Fine (Watch Video) Shah Rukh Khan Supports PM Modi's Janata Curfew Initiative, Says 'We Need To Slow Down Time' Lifestyle Mouni Roy Wearing a Mini Latex Dress Is What You Need to See Right Now! 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Titled 'RAISE 2020 (Responsible AI for Social Empowerment 2020),' the summit on October 5-6 was announced as a global meeting of minds to exchange ideas and charter a course to use AI for social transformation, inclusion and empowerment in key areas like healthcare, agriculture, education and smart mobility, among other sectors. "The registrations are open for all participants and the process will remain the same as before. All AI startups are welcome to participate through the same procedure for the Startup Pitchfest," said Abhishek Singh, President and CEO, National e-Governance Division (NeGD), the Ministry of Electronics and Information Technology (MeitY). "The step to postpone the summit is a public health measure for containment and mitigation of the current COVID-19 outbreak," he added. Xiaomi Mi 10 Smartphone Slated To Launch in India on March 31; Expected Prices, Features & Specifications. The 'Startup Pitchfest' is a platform for startups to showcase their ideas for use of AI in accelerating social transformation, inclusion and empowerment. The summit aims to create a data-rich environment as India has the potential to be the world's leading AI laboratory that can eventually transform lives globally. 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The Best Way to Wash Your Hands to Protect Yourself from COVID-19 PSL 2020 Points Table Final Update: Multan Sultans, Karachi Kings, Lahore Qalandars, Peshawar Zalmi Qualify for Semi-Finals Advertisement Football Matches Recent/Current Upcoming Bayern Munich vs Chelsea - Match 202 Mar, 20 2020 01:30 IST International Clubs UEFA Champions League 19/20 Barcelona vs Napoli - Match 203 Mar, 20 2020 01:30 IST International Clubs UEFA Champions League 19/20 Manchester City vs Real Madrid - Match 200 Mar, 19 2020 01:30 IST International Clubs UEFA Champions League 19/20 Juventus vs Lyon - Match 201 Mar, 19 2020 01:30 IST International Clubs UEFA Champions League 19/20 Valladolid vs Celta Vigo - Match 284 Mar, 21 2020 17:30 IST Spain LaLiga 19/20 Chelsea vs Manchester City - Match 305 Mar, 21 2020 18:00 IST England Premier League 19/20 Newcastle United vs Aston Villa - Match 307 Mar, 21 2020 20:30 IST England Premier League 19/20 Norwich City vs Everton - Match 308 Mar, 21 2020 20:30 IST England Premier League 19/20 Trending Topics CAA ProtestCoronavirusNarendra ModiCoronavirus in IndiaBigg Boss 13Sharad PawarJNUDeepika PadukoneExam ResultBJPAadhaar CardVirat KohliRahul Gandhi Advertisement ताजा खबरें कोरोना वायरस: NPR-जनगणना को लेकर ओडिशा के सीएम नवीन पटनायक ने पीएम मोदी ने लिखा पत्र, कहा-सर्वे टाला जाएकोरोना का कहर: महाराष्ट्र सरकार का फैसला, पहली कक्षा से 8वीं तक की परीक्षाएं स्थगित, बिना पेपर दिए ही अगली क्लास में जाएंगे छात्रकोरोना वायरस के खिलाफ एकजुट हुए बॉलीवुड सितारें, अमिताभ बच्चन से लेकर आलिया भट्ट तक ने फैन्स की अपील (Video)'Janata Curfew' Whatsapp And Stickers: सोशल मीडिया पर वायरल हो रहे 'जनता कर्फ्यू' के लिए समर्थन के संदेश, यूजर्स मांग रहे कोरोनो वायरस से लड़ने के लिए देश का साथकोरोना का कहर: 22 मार्च को जनता कर्फ्यू के दिन बंद रहेगी दिल्ली मेट्रो : 20 मार्च 2020 की बड़ी खबरें और मुख्य समाचार LIVEइटली के सैलानी की जयपुर में हार्ट अटैक से हुई मौत, कोरोना वायरस से हुआ था रिकवर 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 About Us | Terms Of Use | Contact Us  Copyright © Latestly.com All Rights Reserved.  IPL 2020 Postponement Delays Disney+ Hotstar India Launch Instagram Working on Disappearing Stories Feature: Report Nokia 5.3, Nokia 1.3, Nokia 8.3 5G & Nokia 5310 Launched; Check Prices, Features, Variants & Specifications Xiaomi Mi 10 5G All Set To Be Launched in India on March 31; Check Expected Prices, Features, Variants & Specs
India's RAISE 2020 Artificial Intelligence Summit Delayed Due To Coronavirus Pandemic
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Titled RAISE 2020 Responsible AI Social Empowerment 2020, summit October 56 announced global meeting minds exchange ideas charter course use AI social transformation, inclusion empowerment key areas like healthcare, agriculture, education smart mobility, sectors. The registrations open participants process remain before. All AI startups welcome participate procedure Startup Pitchfest, said Abhishek Singh, President CEO, National eGovernance Division NeGD, Ministry Electronics Information Technology MeitY. The step postpone summit public health measure containment mitigation current COVID19 outbreak, added.Xiaomi Mi 10 Smartphone Slated To Launch India March 31; Expected Prices, Features Specifications. The Startup Pitchfest platform startups showcase ideas use AI accelerating social transformation, inclusion empowerment. The summit aims create datarich environment India potential worlds leading AI laboratory eventually transform lives globally. 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The Best Way Wash Your Hands Protect Yourself COVID19 PSL 2020 Points Table Final Update: Multan Sultans, Karachi Kings, Lahore Qalandars, Peshawar Zalmi Qualify SemiFinals Advertisement Football Matches RecentCurrent Upcoming Bayern Munich vs Chelsea Match 202 Mar, 20 2020 01:30 IST International Clubs UEFA Champions League 1920 Barcelona vs Napoli Match 203 Mar, 20 2020 01:30 IST International Clubs UEFA Champions League 1920 Manchester City vs Real Madrid Match 200 Mar, 19 2020 01:30 IST International Clubs UEFA Champions League 1920 Juventus vs Lyon Match 201 Mar, 19 2020 01:30 IST International Clubs UEFA Champions League 1920 Valladolid vs Celta Vigo Match 284 Mar, 21 2020 17:30 IST Spain LaLiga 1920 Chelsea vs Manchester City Match 305 Mar, 21 2020 18:00 IST England Premier League 1920 Newcastle United vs Aston Villa Match 307 Mar, 21 2020 20:30 IST England Premier League 1920 Norwich City vs Everton Match 308 Mar, 21 2020 20:30 IST England Premier League 1920 Trending Topics CAA ProtestCoronavirusNarendra ModiCoronavirus IndiaBigg Boss 13Sharad PawarJNUDeepika PadukoneExam ResultBJPAadhaar CardVirat KohliRahul Gandhi Advertisement : NPR , : , 8 , , VideoJanata Curfew Whatsapp And Stickers: , : 22 : 20 2020 LIVE , 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 . 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https://venturebeat.com/2020/07/30/linkedin-details-ai-tool-that-better-matches-jobs-to-candidates/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29
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LinkedIn details AI tool that better matches jobs to candidates | VentureBeat
LinkedIn details AI tool that better matches jobs to candidates | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Become a Member Sign In Log Out VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile LinkedIn details AI tool that better matches jobs to candidates Kyle Wiggers@Kyle_L_Wiggers July 30, 2020 9:00 AM AI Share on Facebook Share on Twitter Share on LinkedIn Image Credit: LinkedIn VB Transform Watch every session from the AI event of the year On-Demand Watch Now LinkedIn today pulled back the curtains on Qualified Applicant (QA), an AI system that learns from job candidate interactions the kinds of skills and experience a hirer prefers. It’s the model the Microsoft-owned platform uses to help over 706 million users in 200 countries find jobs for which they have the best chances of hearing back, and which aims to reduce the likelihood recruiters overlook applicants by highlighting those deemed a fit. Creating a system that can contend with the transient nature of job posts was no walk in the park, according to LinkedIn. It had to work at scale — QA has “billions” of coefficients — and it had to be effective for as many job seekers and hirers as possible. Formally, QA tries to project the probability of a “positive recruiter action” conditional on a given member applying for a specific role. What constitutes a positive recruiter action depends on the context — it can include viewing an applicant’s profile, messaging them, inviting them to an interview, or sending them a job offer. The single global QA model is individually tailored to members and roles, with per-member and per-job models trained on data unique to the members and jobs. Each of the many models is independent within a single training iteration, making them parallel and easier to serve at scale. While the global model is trained on all data, per-member models are trained using only members’ job applications. Per-job models, meanwhile, are trained on jobs’ applicants. The global QA is retrained once every few weeks, but the personalized models must be refreshed regularly to combat degradation. (LinkedIn says the per-member models’ performance advantage over the baseline halves after three weeks.) Training labels are generated every day from events like hirer engagement with new candidates; an approximate label collection pipeline heuristically infers negatives and uses explicit positive and negative feedback as soon as it becomes available. For example, if a recruiter responds to other applications submitted later, the pipeline might infer a negative label for an application with no engagement after 14 days. It takes up to a day to generate labels and retrain the personalized QA model components, which are only deployed if they pass certain automated quality checks. In the future, LinkedIn hopes to reduce the lag time to minutes with a near-real-time data collection and training framework built atop stream processing technologies like Apache Samza and Apache Kafka. Across LinkedIn business lines where QA has been deployed — Job Seekers, Premium, and Recruiter — the company says it’s enabled new experiences. On the seeker side, QA highlights search results if a member’s profile is a good match for the job. For Premium members, it showcases opportunities for which members are competitive with other job applicants. And hirers using LinkedIn Recruiter benefit from a smarter ranking of applicants, as well as notifications for members with very high match scores. LinkedIn says the personalized models delivered “double-digit” gains in hirer interaction rates and click-through rate (CTR) for recruiter notifications compared with the systems they replaced, as well as a “site-wide lift” in confirmed hires and premium job seeker CTR. “Our analysis demonstrates that the majority of job applicants apply to at least 5 jobs, while the majority of job postings receive at least 10 applicants. This proves to result in enough data to train … personalization models,” LinkedIn wrote in a blog post. “Our vision … is to create economic opportunity for every member of the global workforce. Key to achieving this is making the marketplace between job seekers and hirers more efficient … Active job seekers apply for many jobs, and hear back from only a few.” LinkedIn’s use of AI is pervasive. In October 2019, the Microsoft-owned platform revealed a model that generates text descriptions for images uploaded to LinkedIn, achieved using Microsoft’s Cognitive Services platform and a unique LinkedIn-derived data set. LinkedIn’s Recommended Candidates feature learns the hiring criteria for a given role and automatically surfaces relevant candidates in a dedicated tab, and its AI-driven search engine employs data like the kinds of things people post on their profiles and the searches that candidates perform to produce predictions for best-fit jobs and job seekers. Moreover, LinkedIn’s AI-driven moderation tool automatically spots and removes inappropriate user accounts. Score lifetime access to this stock image library for only $29 Boost your productivity with these 9 hot deals for entrepreneurs You can score a lifetime of cloud backup for under $50 right now This Microsoft Excel training bundle is just $34 right now Store 5TB of data in the cloud for life for just $80 7 deals gaming enthusiasts won't want to miss out on Redefine remote work with this massive power bank Learn character drawing from former Marvel and DreamWorks artists with this training Make your next presentation pop with this premium illustration builder Boost your productivity with these 8 amazing deals View all deals store How Xsolla provides developers with a game business engine Dean Takahashi July 30, 2020 6:30 AM Candis raises nearly $14 million to automate accounting processes with AI Kyle Wiggers July 30, 2020 5:00 AM Antitrust hearing: Amazon, Facebook, and Google were questioned 2x more than Apple Emil Protalinski July 29, 2020 3:34 PM Guest If your VC firm can’t find talented Black founders, let me introduce you Dennis Cail, Zirtue July 29, 2020 3:10 PM VentureBeat Homepage Follow us on Facebook Follow us on Twitter Follow us on Instagram Follow us on LinkedIn Follow us on Flipboard Follow us on RSS About Contact Careers Advertise © 2020 VentureBeat. 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LinkedIn details AI tool that better matches jobs to candidates
LinkedIn details AI tool better matches jobs candidates 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 LinkedIn details AI tool better matches jobs candidates Kyle Wiggers July 30, 2020 9:00 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: LinkedIn VB Transform Watch session AI event year OnDemand Watch Now LinkedIn today pulled curtains Qualified Applicant QA, AI learns job candidate interactions kinds skills experience hirer prefers. Its model Microsoftowned platform uses help 706 million users 200 countries jobs best chances hearing back, aims reduce likelihood recruiters overlook applicants highlighting deemed fit. Creating contend transient nature job posts walk park, according LinkedIn. It work scale QA billions coefficients effective job seekers hirers possible. Formally, QA tries project probability positive recruiter action conditional given member applying specific role. What constitutes positive recruiter action depends context include viewing applicants profile, messaging them, inviting interview, sending job offer. The single global QA model individually tailored members roles, permember perjob models trained data unique members jobs. Each models independent single training iteration, making parallel easier serve scale. While global model trained data, permember models trained members job applications. Perjob models, meanwhile, trained jobs applicants. The global QA retrained weeks, personalized models refreshed regularly combat degradation. LinkedIn says permember models performance advantage baseline halves weeks. Training labels generated day events like hirer engagement new candidates; approximate label collection pipeline heuristically infers negatives uses explicit positive negative feedback soon available. For example, recruiter responds applications submitted later, pipeline infer negative label application engagement 14 days. It takes day generate labels retrain personalized QA model components, deployed pass certain automated quality checks. In future, LinkedIn hopes reduce lag time minutes nearrealtime data collection training framework built atop stream processing technologies like Apache Samza Apache Kafka. Across LinkedIn business lines QA deployed Job Seekers, Premium, Recruiter company says enabled new experiences. On seeker side, QA highlights search results members profile good match job. For Premium members, showcases opportunities members competitive job applicants. And hirers LinkedIn Recruiter benefit smarter ranking applicants, notifications members high match scores. LinkedIn says personalized models delivered doubledigit gains hirer interaction rates clickthrough rate CTR recruiter notifications compared systems replaced, sitewide lift confirmed hires premium job seeker CTR. Our analysis demonstrates majority job applicants apply 5 jobs, majority job postings receive 10 applicants. This proves result data train personalization models, LinkedIn wrote blog post. Our vision create economic opportunity member global workforce. Key achieving making marketplace job seekers hirers efficient Active job seekers apply jobs, hear few. LinkedIns use AI pervasive. In October 2019, Microsoftowned platform revealed model generates text descriptions images uploaded LinkedIn, achieved Microsofts Cognitive Services platform unique LinkedInderived data set. LinkedIns Recommended Candidates feature learns hiring criteria given role automatically surfaces relevant candidates dedicated tab, AIdriven search engine employs data like kinds things people post profiles searches candidates perform produce predictions bestfit jobs job seekers. Moreover, LinkedIns AIdriven moderation tool automatically spots removes inappropriate user accounts. 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 7 deals gaming enthusiasts wont want miss Redefine remote work massive power bank Learn character drawing Marvel DreamWorks artists training Make presentation pop premium illustration builder Boost productivity 8 amazing deals View deals store How Xsolla provides developers game business engine Dean Takahashi July 30, 2020 6:30 AM Candis raises nearly 14 million automate accounting processes AI Kyle Wiggers July 30, 2020 5:00 AM Antitrust hearing: Amazon, Facebook, Google questioned 2x Apple Emil Protalinski July 29, 2020 3:34 PM Guest If VC firm talented Black founders, let introduce Dennis Cail, Zirtue July 29, 2020 3:10 PM VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. .
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https://bulletinline.com/2020/08/11/artificial-intelligence-ai-in-supply-chain-and-logistics-market-size-status-and-business-growth-2020-2026-ibm-google-microsoft-corporation-amazon-web-services-inc-oracle-corporation-sap/
2020-08-11T00:00:00
en
Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status and Business Growth 2020 -2026| IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP – Bulletin Line
Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status and Business Growth 2020 -2026| IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP – Bulletin Line Bulletin Line Market Research Reports Home COVID-19 Industry Impact Latest Market Reports Market Price Analysis Market Study Contact Us Home2020August11Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status and Business Growth 2020 -2026| IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status and Business Growth 2020 -2026| IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP Posted On: August 11, 2020 Posted By: kaushikronith Comments: 0 Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status, Business Future Scenarios and Brief Analysis 2020-2026 The report begins with the overview of the Artificial Intelligence (AI) In Supply Chain And Logistics Market and offers throughout development. It presents a comprehensive analysis of all the regional and major player segments that gives closer insights upon present market conditions and future market opportunities along with drivers, trending segments, consumer behavior, pricing factors and market performance and estimation. The forecast market information, SWOT analysis, Artificial Intelligence (AI) In Supply Chain And Logistics market scenario, and feasibility study are the vital aspects analyzed in this report. Click the link to get a free Sample Copy of the Report: https://www.theresearchinsights.com/request_sample.php?id=171948 The report presents the market competitive landscape and a corresponding detailed analysis of the major vendor/key players in the market. Top Companies in the Global Artificial Intelligence (AI) In Supply Chain And Logistics Market: IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP, Facebook, Alibaba, Baidu, Tencent Global Artificial Intelligence (AI) In Supply Chain And Logistics Market Split by Product Type and Applications: This report segments the global Artificial Intelligence (AI) In Supply Chain And Logistics Market on the basis of Types are: Artificial neural networks Machine learning Other On the basis of Application, the Global Artificial Intelligence (AI) In Supply Chain And Logistics Market is segmented into: Inventory control and planning Transportation network design Purchasing and supply management Demand planning and forecasting Other Regional analysis of Global Artificial Intelligence (AI) In Supply Chain And Logistics Market: The report provides a detailed breakdown of the market region-wise and categorizes it at various levels. Regional segment analysis displaying regional production volume, consumption volume, revenue, and growth rate from 2020-2026 covers: Americas (United States, Canada, Mexico, Brazil), APAC (China, Japan, Korea, Southeast Asia, India, Australia), Europe (Germany, France, UK, Italy, Russia, Spain), Middle East & Africa (Egypt, South Africa, Israel, Turkey, GCC Countries). Each of these regions is analysed on basis of market findings across major countries in these regions for a macro-level understanding of the market. Ask For Effective Discount: https://www.theresearchinsights.com/ask_for_discount.php?id=171948 What are the market factors that are explained in the report? -Key Strategic Developments: The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale. -Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments. -Analytical Tools: The Global Artificial Intelligence (AI) In Supply Chain And Logistics Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porter’s five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market. Browse the report description and TOC: https://www.theresearchinsights.com/information-and-communication_technology/Global-Artificial-Intelligence-AI-In-Supply-Chain-And-Logistics-Market-Report-2020-With-Size-Status-And-Forecast-To-2026-171948 Table of Content: Artificial Intelligence (AI) In Supply Chain And Logistics Market Research Report 2020-2026 Chapter 1: Industry Overview Chapter 2: Artificial Intelligence (AI) In Supply Chain And Logistics Market International and China Market Analysis Chapter 3: Environment Analysis of Market. Chapter 4: Artificial Intelligence (AI) In Supply Chain And Logistics Analysis of Revenue by Classifications Chapter 5: Analysis of Revenue by Regions and Applications Chapter 6: Analysis of Artificial Intelligence (AI) In Supply Chain And Logistics Market Revenue Market Status. Chapter 7: Artificial Intelligence (AI) In Supply Chain And Logistics Analysis of Industry Key Manufacturers Chapter 8: Sales Price and Gross Margin Analysis of Market. Chapter 9: ………….Continue to TOC About us: The Research Insights – A global leader in analytics, research and advisory that can assist you to renovate your business and modify your approach. With us, you will learn to take decisions intrepidly. We make sense of drawbacks, opportunities, circumstances, estimations and information using our experienced skills and verified methodologies. Our research reports will give you an exceptional experience of innovative solutions and outcomes. We have effectively steered businesses all over the world with our market research reports and are outstandingly positioned to lead digital transformations. Thus, we craft greater value for clients by presenting advanced opportunities in the global market. Contact us : Robin Sales manager Contact number: +91-996-067-0000 [email protected] https://www.theresearchinsights.com     kaushikronith Artificial Intelligence (AI) In Supply Chain And LogisticsArtificial Intelligence (AI) In Supply Chain And Logistics Industry Artificial Intelligence (AI) In Supply Chain And Logistics marketArtificial Intelligence (AI) In Supply Chain And Logistics MarketArtificial Intelligence (AI) In Supply Chain And Logistics Market 2020Artificial Intelligence (AI) In Supply Chain And Logistics market analysisArtificial Intelligence (AI) In Supply Chain And Logistics Market Analysis in Developed CountriesArtificial Intelligence (AI) In Supply Chain And Logistics Market by ApplicationArtificial Intelligence (AI) In Supply Chain And Logistics Market companiesArtificial Intelligence (AI) In Supply Chain And Logistics Market forecastArtificial Intelligence (AI) In Supply Chain And Logistics Market growthArtificial Intelligence (AI) In Supply Chain And Logistics Market industry analysisArtificial Intelligence (AI) In Supply Chain And Logistics Market overviewArtificial Intelligence (AI) In Supply Chain And Logistics Market segmentationArtificial Intelligence (AI) In Supply Chain And Logistics Market types and application Post navigation Prev PostNext Post Search News About usHome Contact Us Know About Us Our Staff PoliciesPrivacy Policy Editorial Policy Use of Cookies Bulletin Line by Everestthemes
Artificial Intelligence (AI) In Supply Chain And Logistics Market Size, Status and Business Growth 2020 -2026
Artificial Intelligence AI In Supply Chain And Logistics Market Size, Status Business Growth 2020 2026 IBM, Google, Microsoft Corporation, Amazon Web Services , Oracle Corporation, SAP Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020August11Artificial Intelligence AI In Supply Chain And Logistics Market Size, Status Business Growth 2020 2026 IBM, Google, Microsoft Corporation, Amazon Web Services , Oracle Corporation, SAP Artificial Intelligence AI In Supply Chain And Logistics Market Size, Status Business Growth 2020 2026 IBM, Google, Microsoft Corporation, Amazon Web Services , Oracle Corporation, SAP Posted On: August 11, 2020 Posted By: kaushikronith Comments: 0 Artificial Intelligence AI In Supply Chain And Logistics Market Size, Status, Business Future Scenarios Brief Analysis 20202026 The report begins overview Artificial Intelligence AI In Supply Chain And Logistics Market offers development. It presents comprehensive analysis regional major player segments gives closer insights present market conditions future market opportunities drivers, trending segments, consumer behavior, pricing factors market performance estimation. The forecast market information, SWOT analysis, Artificial Intelligence AI In Supply Chain And Logistics market scenario, feasibility study vital aspects analyzed report. Click link free Sample Copy Report: The report presents market competitive landscape corresponding detailed analysis major vendorkey players market. Top Companies Global Artificial Intelligence AI In Supply Chain And Logistics Market: IBM, Google, Microsoft Corporation, Amazon Web Services , Oracle Corporation, SAP, Facebook, Alibaba, Baidu, Tencent Global Artificial Intelligence AI In Supply Chain And Logistics Market Split Product Type Applications: This report segments global Artificial Intelligence AI In Supply Chain And Logistics Market basis Types are: Artificial neural networks Machine learning Other On basis Application, Global Artificial Intelligence AI In Supply Chain And Logistics Market segmented into: Inventory control planning Transportation network design Purchasing supply management Demand planning forecasting Other Regional analysis Global Artificial Intelligence AI In Supply Chain And Logistics Market: The report provides detailed breakdown market regionwise categorizes levels. Regional segment analysis displaying regional production volume, consumption volume, revenue, growth rate 20202026 covers: Americas United States, Canada, Mexico, Brazil, APAC China, Japan, Korea, Southeast Asia, India, Australia, Europe Germany, France, UK, Italy, Russia, Spain, Middle East Africa Egypt, South Africa, Israel, Turkey, GCC Countries. Each regions analysed basis market findings major countries regions macrolevel understanding market. Ask For Effective Discount: What market factors explained report? Key Strategic Developments: The study includes key strategic developments market, comprising RD, new product launch, MA, agreements, collaborations, partnerships, joint ventures, regional growth leading competitors operating market global regional scale. Key Market Features: The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, importexport, supplydemand, cost, market share, CAGR, gross margin. In addition, study offers comprehensive study key market dynamics latest trends, pertinent market segments subsegments. Analytical Tools: The Global Artificial Intelligence AI In Supply Chain And Logistics Market report includes accurately studied assessed data key industry players scope market means number analytical tools. The analytical tools Porters forces analysis, SWOT analysis, feasibility study, investment return analysis analyze growth key players operating market. Browse report description TOC: Table Content: Artificial Intelligence AI In Supply Chain And Logistics Market Research Report 20202026 Chapter 1: Industry Overview Chapter 2: Artificial Intelligence AI In Supply Chain And Logistics Market International China Market Analysis Chapter 3: Environment Analysis Market. Chapter 4: Artificial Intelligence AI In Supply Chain And Logistics Analysis Revenue Classifications Chapter 5: Analysis Revenue Regions Applications Chapter 6: Analysis Artificial Intelligence AI In Supply Chain And Logistics Market Revenue Market Status. Chapter 7: Artificial Intelligence AI In Supply Chain And Logistics Analysis Industry Key Manufacturers Chapter 8: Sales Price Gross Margin Analysis Market. Chapter 9: .Continue TOC About us: The Research Insights A global leader analytics, research advisory assist renovate business modify approach. With us, learn decisions intrepidly. We sense drawbacks, opportunities, circumstances, estimations information experienced skills verified methodologies. Our research reports exceptional experience innovative solutions outcomes. We effectively steered businesses world market research reports outstandingly positioned lead digital transformations. Thus, craft greater value clients presenting advanced opportunities global market. : Robin Sales manager number: 919960670000 [emailprotected] kaushikronith Artificial Intelligence AI In Supply Chain And LogisticsArtificial Intelligence AI In Supply Chain And Logistics Industry Artificial Intelligence AI In Supply Chain And Logistics marketArtificial Intelligence AI In Supply Chain And Logistics MarketArtificial Intelligence AI In Supply Chain And Logistics Market 2020Artificial Intelligence AI In Supply Chain And Logistics market analysisArtificial Intelligence AI In Supply Chain And Logistics Market Analysis Developed CountriesArtificial Intelligence AI In Supply Chain And Logistics Market ApplicationArtificial Intelligence AI In Supply Chain And Logistics Market companiesArtificial Intelligence AI In Supply Chain And Logistics Market forecastArtificial Intelligence AI In Supply Chain And Logistics Market growthArtificial Intelligence AI In Supply Chain And Logistics Market industry analysisArtificial Intelligence AI In Supply Chain And Logistics Market overviewArtificial Intelligence AI In Supply Chain And Logistics Market segmentationArtificial Intelligence AI In Supply Chain And Logistics Market types application Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes
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https://ca.sports.yahoo.com/news/causality-selects-mt-newswires-content-123000034.html?src=rss
2020-09-09T00:00:00
en
Causality Link Selects MT Newswires as Content Provider for Artificial Intelligence (AI)-Driven Research Assistant
Causality Link Selects MT Newswires as Content Provider for Artificial Intelligence (AI)-Driven Research AssistantHomeMailNewsSportsFinanceCelebrityStyleMoviesWeatherAnswersMobileYahooMailSkip to NavigationSkip to Main ContentSkip to Related ContentSports HomeFantasyNHLNBANFLMLBVideosPodcastsNCAABCFLSoccerGolfMMATennisOlympicsNCAAFNASCARFormula 1Causality Link Selects MT Newswires as Content Provider for Artificial Intelligence (AI)-Driven Research AssistantCausality LinkGlobeNewswireSeptember 9, 2020ReblogShareTweetShare“The addition of high-quality, focused news stories impacting equity markets worldwide will be a significant complement to our Research Assistant. Our evaluation showed strong evidence supporting great coverage and a high signal-to-noise ratio. MT Newswires is a recognized leader in the business and financial news space and it’s great to be working with the firm to advance the unmatched knowledge our platform collects and aggregates.” - Eric Jensen, co-founder and CTO of Causality LinkMore“The addition of high-quality, focused news stories impacting equity markets worldwide will be a significant complement to our Research Assistant. Our evaluation showed strong evidence supporting great coverage and a high signal-to-noise ratio. MT Newswires is a recognized leader in the business and financial news space and it’s great to be working with the firm to advance the unmatched knowledge our platform collects and aggregates.” - Eric Jensen, co-founder and CTO of Causality LinkSalt Lake City, Sept. 09, 2020 (GLOBE NEWSWIRE) -- Causality Link, an advanced, AI-driven investment technology provider, today announced an agreement with MT Newswires to incorporate the financial news information provider’s industry-leading content into the Causality Link Research Assistant platform.MT Newswires’ global financial news strengthens Causality Link’s vast and growing corpus of content with a perspective relied upon by institutional investors globally. By leveraging MT Newswires’ “Live Briefs PRO – Global Markets” offering -- a comprehensive, real-time, multi-asset feed of global capital markets and economic events –Causality Link gains more than 130 categories of original, ticker-tagged and meta-coded content that will augment the Research Assistant’s signals and financial models.“The addition of high-quality, focused news stories impacting equity markets worldwide will be a significant complement to our Research Assistant,” said Eric Jensen, co-founder and CTO of Causality Link. “Our evaluation showed strong evidence supporting great coverage and a high signal-to-noise ratio. MT Newswires is a recognized leader in the business and financial news space and it’s great to be working with the firm to advance the unmatched knowledge our platform collects and aggregates.”Causality Link’s unique, AI-powered Research Assistant extracts the knowledge contained within millions of documents and other text-based sources to provide investors and analysts with a unique perspective on companies, industries and macroeconomic drivers. By aggregating explicitly stated cause-and-effect relationships between market indicators and company key performance indicators (KPIs), the Causality Link platform provides clients with more significant, longer-lasting, less emotional and more precise insights and forecasts. With the help of its proprietary machine learning (ML) and natural language processing (NLP) technologies, the solution is leading the next wave of AI innovation to aggregate human knowledge from thousands of authors.The MT Newswires suite of premium newsfeed services delivers real-time, comprehensive coverage of leading capital markets news drivers in North America, Europe and Asia. The company’s growing global network of financial journalists and economists produces over 130 categories of original, unbiased and noise-free content 24 hours a day.“We are excited to partner with an emerging innovator like Causality Link, whose platform was built on the notion that tapping into the power of the human knowledge is critical for AI to reach its full potential,” said Brooks McFeely, CEO of MT Newswires. “We are firm believers in that idea as well and look forward to contributing our unique and differentiated point of view on the markets to such a unique platform.”Combining Causality Link’s powerful AI-driven research platform with MT Newswires’ “Live Briefs PRO -Global Markets” gives Causality Link clients around the world access to comprehensive content used to discover investable signals. The firm is targeting a Fall 2020 go-live at which point the content – including back-history and real-time updates – will be available for new and existing customers.About Causality LinkWith its advanced AI-driven research platform, Causality Link helps investment research professionals make smarter decisions by better understanding the “causal links” driving events and indicators of equities markets. Causality Link was formed on the notion that long-term success in AI and Machine Learning requires a balance of human and machine collaboration that leverages the strongest qualities in each. Causality Link’s platform merges explicit expert knowledge of causation – not simply correlation – with the mathematical power of predictive analytics enabling professionals to gain big-picture understanding of the financial markets. Visit www.causalitylink.com to learn more.Story continuesAbout MT NewswiresBased in the U.S., with additional presence in Canada, Europe, and Asia, MT Newswires is a recognized leader in original, unbiased business and financial news. The Company’s multi-asset class, global news service offers over 130 unique categories of noise-free coverage and powers most of the largest bank, brokerage, wealth management, research, and trading applications. Attachment team-pic_eric-jensen-min CONTACT: Michael Kingsley Forefront Communications for Causality Link 212-320-8984 [email protected] to Read NextEric Trump whips up outrage over protests ahead of NFL kickoffYahoo SportsReports: Line judge threatened after Djokovic disqualificationReutersShapovalov rues lack of maturity as Grand Slam bid endsReutersCanadian WNT player Rebecca Quinn comes out as transgenderYahoo SportsReports: Cardinals' DeAndre Hopkins to sign record extension for non-QBYahoo SportsJosh Jacobs has the talent to become top-5 RB in fantasy football | The LineupYahoo Sports Canada VideosDodgers vs. D-backs Recap 9/8MLB.comCheck Out The 17 Times The Chevy Corvette Has Paced The Indy 500motor1Mariners vs. Giants Recap 9/8MLB.comRockies vs. Padres Recap 9/8MLB.comAstros vs. A's Highlights 9/8MLB.comAngels vs. Rangers Highlights 9/8MLB.comCubs vs. Reds Highlights 9/8MLB.comRoyals vs. Indians Recap 9/8MLB.comBrewers vs. Tigers Recap 9/8MLB.comAndrew Heaney K's Joey GalloMLB.comRed Sox vs. Phillies Recap 9/8MLB.comWhite Sox vs. Pirates Recap 9/8MLB.comRays vs. Nationals Recap 9/8MLB.comTwins vs. Cardinals Recap 9/8MLB.comMarlins vs. Braves Recap 9/8MLB.comYankees vs. Blue Jays Recap 9/8MLB.comMookie Betts plates Edwin RíosMLB.comTop 10 Plays - Sep. 8NBA.comThe Fast Break - Best from Sept. 8NBA.comNightly Notable: LeBron James - Sep. 8NBA.comGavin Lux drives in BellingerMLB.com
Causality Link Selects MT Newswires as Content Provider for Artificial Intelligence (AI)-Driven Research Assistant
Causality Link Selects MT Newswires Content Provider Artificial Intelligence AIDriven Research AssistantHomeMailNewsSportsFinanceCelebrityStyleMoviesWeatherAnswersMobileYahooMailSkip NavigationSkip Main ContentSkip Related ContentSports HomeFantasyNHLNBANFLMLBVideosPodcastsNCAABCFLSoccerGolfMMATennisOlympicsNCAAFNASCARFormula 1Causality Link Selects MT Newswires Content Provider Artificial Intelligence AIDriven Research AssistantCausality LinkGlobeNewswireSeptember 9, 2020ReblogShareTweetShareThe addition highquality, focused news stories impacting equity markets worldwide significant complement Research Assistant. Our evaluation showed strong evidence supporting great coverage high signaltonoise ratio. MT Newswires recognized leader business financial news space great working firm advance unmatched knowledge platform collects aggregates. Eric Jensen, cofounder CTO Causality LinkMoreThe addition highquality, focused news stories impacting equity markets worldwide significant complement Research Assistant. Our evaluation showed strong evidence supporting great coverage high signaltonoise ratio. MT Newswires recognized leader business financial news space great working firm advance unmatched knowledge platform collects aggregates. Eric Jensen, cofounder CTO Causality LinkSalt Lake City, Sept. 09, 2020 GLOBE NEWSWIRE Causality Link, advanced, AIdriven investment technology provider, today announced agreement MT Newswires incorporate financial news information providers industryleading content Causality Link Research Assistant platform.MT Newswires global financial news strengthens Causality Links vast growing corpus content perspective relied institutional investors globally. By leveraging MT Newswires Live Briefs PRO Global Markets offering comprehensive, realtime, multiasset feed global capital markets economic events Causality Link gains 130 categories original, tickertagged metacoded content augment Research Assistants signals financial models.The addition highquality, focused news stories impacting equity markets worldwide significant complement Research Assistant, said Eric Jensen, cofounder CTO Causality Link. Our evaluation showed strong evidence supporting great coverage high signaltonoise ratio. MT Newswires recognized leader business financial news space great working firm advance unmatched knowledge platform collects aggregates.Causality Links unique, AIpowered Research Assistant extracts knowledge contained millions documents textbased sources provide investors analysts unique perspective companies, industries macroeconomic drivers. By aggregating explicitly stated causeandeffect relationships market indicators company key performance indicators KPIs, Causality Link platform provides clients significant, longerlasting, emotional precise insights forecasts. With help proprietary machine learning ML natural language processing NLP technologies, solution leading wave AI innovation aggregate human knowledge thousands authors.The MT Newswires suite premium newsfeed services delivers realtime, comprehensive coverage leading capital markets news drivers North America, Europe Asia. The companys growing global network financial journalists economists produces 130 categories original, unbiased noisefree content 24 hours day.We excited partner emerging innovator like Causality Link, platform built notion tapping power human knowledge critical AI reach potential, said Brooks McFeely, CEO MT Newswires. We firm believers idea look forward contributing unique differentiated point view markets unique platform.Combining Causality Links powerful AIdriven research platform MT Newswires Live Briefs PRO Global Markets gives Causality Link clients world access comprehensive content discover investable signals. The firm targeting Fall 2020 golive point content including backhistory realtime updates available new existing customers.About Causality LinkWith advanced AIdriven research platform, Causality Link helps investment research professionals smarter decisions better understanding causal links driving events indicators equities markets. Causality Link formed notion longterm success AI Machine Learning requires balance human machine collaboration leverages strongest qualities each. Causality Links platform merges explicit expert knowledge causation simply correlation mathematical power predictive analytics enabling professionals gain bigpicture understanding financial markets. Visit learn more.Story continuesAbout MT NewswiresBased U.S., additional presence Canada, Europe, Asia, MT Newswires recognized leader original, unbiased business financial news. The Companys multiasset class, global news service offers 130 unique categories noisefree coverage powers largest bank, brokerage, wealth management, research, trading applications.Attachment teampic_ericjensenmin CONTACT: Michael Kingsley Forefront Communications Causality Link 2123208984 mkingsley Read NextEric Trump whips outrage protests ahead NFL kickoffYahoo SportsReports: Line judge threatened Djokovic disqualificationReutersShapovalov rues lack maturity Grand Slam bid endsReutersCanadian WNT player Rebecca Quinn comes transgenderYahoo SportsReports: Cardinals DeAndre Hopkins sign record extension nonQBYahoo SportsJosh Jacobs talent top5 RB fantasy football The LineupYahoo Sports Canada VideosDodgers vs. Dbacks Recap 98MLB.comCheck Out The 17 Times The Chevy Corvette Has Paced The Indy 500motor1Mariners vs. Giants Recap 98MLB.comRockies vs. Padres Recap 98MLB.comAstros vs. As Highlights 98MLB.comAngels vs. Rangers Highlights 98MLB.comCubs vs. Reds Highlights 98MLB.comRoyals vs. Indians Recap 98MLB.comBrewers vs. Tigers Recap 98MLB.comAndrew Heaney Ks Joey GalloMLB.comRed Sox vs. Phillies Recap 98MLB.comWhite Sox vs. Pirates Recap 98MLB.comRays vs. Nationals Recap 98MLB.comTwins vs. Cardinals Recap 98MLB.comMarlins vs. Braves Recap 98MLB.comYankees vs. Blue Jays Recap 98MLB.comMookie Betts plates Edwin RosMLB.comTop 10 Plays Sep. 8NBA.comThe Fast Break Best Sept. 8NBA.comNightly Notable: LeBron James Sep. 8NBA.comGavin Lux drives
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CB Insights recognizes Vymo among AI Startups Enhancing Sales | News | wfmz.com
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History's Headlines One Tank Trip Signature Dish Life Lessons & Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send us your Photos / Video Send us your Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters About Us Contact Us Email Alerts Mobile and Free Apps Employment How to Watch Us WFMZ-TV 69.1 Schedule WFMZ-TV 69.3 - MeTV Schedule WDPN-TV 2.4 - H&I Schedule WDPN-TV 2.5 - Retro TV Order a copy of a story Internships Meet The Team About WFMZ-TV WFMZ-TV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order a copy of a story Share This Facebook Twitter WhatsApp SMS Email Home News News CB Insights recognizes Vymo among AI Startups Enhancing Sales Global technology intelligence leader, CB Insights, categorizes Vymo as one of the world's top AI startups for revenue operations. By Vymo Aug 6, 2020 Aug 6, 2020 Updated 17 min ago Facebook Twitter WhatsApp SMS Email By Vymo Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save SAN FRANCISCO, Aug. 6, 2020 /PRNewswire/ -- Vymo, which offers a Sales Excellence Cloud that is used by leading Financial Institutions across the World, such as AXA, Allianz, Generali, and HDFC Bank, has been recognized by CB Insights as one of the top 60 AI startups in the world, enhancing Sales and Customer Support.The San Francisco - headquartered startup has offices in 7 countries across APAC and USA and has raised 23M in funding from marquee investors such as Sequoia Capital and Emergence Capital.In its latest report, CB Insights said, these startups use AI to enhance the accuracy of sales forecasting, make intelligent recommendations to improve team performance and understand how goals are achievable across various sales scenarios.Vymo has a user adoption of over 85% compared to the industry average of less than 30%, and,captures customer interactions (calls, meetings, emails/messages) automatically,learns from top reps in the sales organization and nudges best behaviors contextually, &creates industry playbooks based on data to help leaders adapt and plan dynamicallyOrganizations report improvements in sales metrics within 8-12 weeks of deploying Vymo. In only six weeks of using the application, AXA Insurance witnessed a 25% improvement in lead conversions, and AIA improved its partner coverage and activation by over 15%.Earlier in 2017, Vymo was adjudged the winner of CB Insights' Demo Day, in which over 2,000+ startups from around the world participated. Watch Vymo's pitch - https://youtu.be/gcoWEo3QBeEAbout VymoVymo (getvymo.com) is the distribution excellence cloud for financial services, trusted by over 100,000 salespeople across 60+ financial enterprises across the world. Global leaders such as AIA, AXA, Sunlife, Generali, Allianz, and more trust Vymo to improve sales and distribution efficiencies. Vymo is recognized by Gartner as a Cool Vendor and is funded by Emergence Capital and Sequoia Capital.About CB InsightsCB Insights helps the world's leading companies make smarter technology decisions with data, not opinion. 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CB Insights recognizes Vymo among AI Startups Enhancing Sales
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By Vymo Aug 6, 2020 Aug 6, 2020 Updated 17 min ago Facebook Twitter WhatsApp SMS Email By Vymo Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save SAN FRANCISCO, Aug. 6, 2020 PRNewswire Vymo, offers Sales Excellence Cloud leading Financial Institutions World, AXA, Allianz, Generali, HDFC Bank, recognized CB Insights 60 AI startups world, enhancing Sales Customer Support.The San Francisco headquartered startup offices 7 countries APAC USA raised 23M funding marquee investors Sequoia Capital Emergence Capital.In latest report, CB Insights said, startups use AI enhance accuracy sales forecasting, intelligent recommendations improve team performance understand goals achievable sales scenarios.Vymo user adoption 85 compared industry average 30, and,captures customer interactions calls, meetings, emailsmessages automatically,learns reps sales organization nudges best behaviors contextually, creates industry playbooks based data help leaders adapt plan dynamicallyOrganizations report improvements sales metrics 812 weeks deploying Vymo. In weeks application, AXA Insurance witnessed 25 improvement lead conversions, AIA improved partner coverage activation 15.Earlier 2017, Vymo adjudged winner CB Insights Demo Day, 2,000 startups world participated. Watch Vymos pitch VymoVymo distribution excellence cloud financial services, trusted 100,000 salespeople 60 financial enterprises world. Global leaders AIA, AXA, Sunlife, Generali, Allianz, trust Vymo improve sales distribution efficiencies. Vymo recognized Gartner Cool Vendor funded Emergence Capital Sequoia Capital.About CB InsightsCB Insights helps worlds leading companies smarter technology decisions data, opinion. The CB Insights Technology Insights Platform provides companies comprehensive data, expert insights, work management tools enable discover understand technologies help drive growth improve operations. 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https://www.itworldcanada.com/blog/canada-post-data-scientist-in-the-lead-carol-wilson/433657
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Canada Post: Data Scientist in the Lead: Carol Wilson | IT World Canada Blog
Canada Post: Data Scientist in the Lead: Carol Wilson | IT World Canada Blog Follow Main menuSkip to secondary content Menu CIOSecurityWork from homeAIResearchEventsNews Last 48 HoursPrivacy & SecurityLeadershipCloudDigital TransformationPublic SectorSoftwareCIO Security PerspectivesSlideshowsMobilityAll CategoriesVideosPodcastsBlogsMore 2020 VisionTechnicity 2019Ingenious Awards 2019Cyber Security Awareness MonthCIO CensusCelebrating 25 Years of CIO LeadershipAI Directory2019 IT Salary CalculatorBlogger OpportunitiesGartner CornerAbout UsPrivacy PolicyDigital MagazinesContact UsSubscribe OUCH! Free Content gets hurt by enabled Ad Blockers Please consider unblocking us or Subscribe in support of our great non-gated content. Big Data & Analytics Careers Leadership Women in Technology Canada Post: Data Scientist in the Lead: Carol Wilson Dr. Cindy Gordon @itworldca Published: July 26th, 2020What is a Data Scientist?Harvard was the first to say “Data Scientists” is the sexiest job of the 21st Century. The field of Data Science is an inter-disciplinary field that uses scientific methods, processes, algorithms and leverages diverse systems to extract knowledge and insights from many structural and unstructured data sets. Data science is related to data mining, deep learning and big data, and requires a multi-disciplinary skillset. What is key is translating data insights into value-based messages that business leaders can appreciate and move to action. Having a strong blend of statistics, analytics and technology skills vary widely, but strong data scientist profiles demonstrate skills related to problem-solving in the workplace, including soft skills such as communication, creativity and teamwork. Having the blend of these skills is often hard to find, and the T shaped individuals who have both strong technical and communication and cross-functional knowledge domain skills are in fierce demand. Meet Carol Wilson, Director of Advanced Analytics at Canada PostCarol is the Director of Advanced Analytics at Canada Post Corporation and reports into the Business Intelligence and Analytics Group under a Strategy VP. In her role, she leads a team of seven data scientists who are responsible for providing the business with data-driven answers to their business questions. They work on hundreds of projects throughout a year, and usually have two to three major transformational programs to keep them all challenged.This can involve simple queries of large data sets that take a few minutes to machine learning models that can take months to develop. Carol currently specializes in statistics and research methods, presenting advanced techniques using AI for decision trees and time series analysis to discover relevancy to business leaders at Canada Post to solve complex problems.A Little About Canada PostCanada Post provides postal services to more than sixteen million addresses and delivers annually over eight billion items and revenues are approaching eight billion. Delivery takes place via traditional “to the door” service and centralized delivery by twenty-five thousand letter carriers, through a thirteen thousand vehicle fleet. Securing economies of scale to balance supply and demand in a complex logistics system is a constant focus of the Canada Post data scientists.Canada Post is rapidly advancing the use of AI and Data Sciences problem-solving methods to transform how business is done. Challenging research is underway to ensure the company secures the best routes to maximize margin and profitability. Canada Post’s Data Science Team is tackling complex shipping data to secure insightful analytics to improve operational efficiencies etc.What are the skills that Canada Post data scientists have to solve the complex challenges that require Artificial Intelligence?Carol’s provided an excellent summary of the foundational skills her data scientists need to be recruited into Canada Post, but also highlights the skills needed to enter in to this field, from different disciplines. The data scientists at Canada Post all have expertise in SAS and SQL. At Canada Post, these skills are mandatory. In addition, they are all skilled in Python and R and are moving toward using these AI Data Science languages instead of using SQL. Canada Post is advancing its data sources to all be in the Cloud and are using the Microsoft Azure Platform offerings. In addition, they have an Enterprise Data Warehouse (EDW) located on a Teradata appliance so understanding Teradata and TD Studio are also skills that the Canada Post data scientists have to learn to do any data extractions to do any advanced modelling. Carol stressed that having skills in advanced statistics, and the importance of strong math, or science, or computing skills. Strong analytical skills are key to becoming a strong data scientist as there is so much data analysis required, a blend of business, data sciences and computing skills provide a strong foundation for building a career as a data scientist.What did Carol study in school to become a data scientist?When I interviewed Carol, she stressed as a young teenager, she excelled more in the Arts, in particular, English was a big favorite. When she graduated, she enrolled at Mount Allison University in New Brunswick to first complete a Psychology Degree. Her skills in English were invaluable as she was able to write clearly on her research findings and observations, so the Arts served as an excellent foundation for her to advance into her Data Science careers. Carol stressed, “If you cannot communicate, all the skills in math and statistics won’t help advance business leaders to take action on the data research insights.” Carol later went on to complete a Master’s Degree in Experimental Psychology from the McMaster University in Hamilton.Learn More:To listen to the full story of Carol Wilson’s journey to become a Data Scientist and How Canada Post is applying Data Science, see her on video on SalesChoice’s YouTube Channel here.To listen to the second part of Carol Wilson’s journey to become a data scientist in our blog Channel, click here.You can access additional knowledge on Artificial Intelligence and Data Sciences by going to SalesChoice’s AI Channel on You Tube or visit our SalesChoice Predictive AI World Forum here. Here you will find white papers, research papers, podcasts, webinar history, etc. to advance your knowledge of AI.You can also go to the AIDirectory.ai and keep track of what’s happening in our AI ecosystem in North America and China, a Joint Venture by ITWC, CATA and SalesChoice Inc.To follow SalesChoice on Twitter, go here.To contact the author, Dr. Cindy Gordon, CEO SalesChoice, you can reach her on LinkedInTo contact Carol Wilson, you can reach her on LinkedIn. Big Data & Analytics, Careers, Leadership, Women in Technology data science Canada Post: Data Scientist, Carol Wilson Lessons Learned About Dr. Cindy Gordon Cindy Gordon is the Founder and CEO of SalesChoice, an AI SaaS Advanced Sales Analytics Company specializing in Ending Revenue Uncertainty. She is an expert in SaaS, (Software as a Service), AI (Artificial Intelligence), Business Innovation, Digital Convergence, Customer Relationship Management(CRM), eCommerce Marketplace(s), and Digital Intelligence: Sales and Marketing Operations. Related Content Landing that dream data scientist position Data scientists can’t spell sustainability Sponsored By: Box AI poised for a business breakthrough by delivering content smarts to workers The gaping chasm between data science and information systems Tweets by itworldca Follow Subscribe Resources CanadianCIO Digital Security CMO Digital CDN Magazine IT Salary Calculator LightningPR Webinars and Events Tech Research Partner Content IT World Canada Community About Us Contact Us Technology Videos IT News IT Blogs Mobility News Cloud Computing Technology Topics ITWC Talks ITWC Websites ITWC.ca Channel Daily News.com IT World Canada.com IT Business.ca Direction Informatique.com © 2020 IT World Canada
Canada Post: Data Scientist in the Lead: Carol Wilson
Canada Post: Data Scientist Lead: Carol Wilson IT World Canada Blog Follow Main menuSkip secondary content Menu CIOSecurityWork homeAIResearchEventsNews Last 48 HoursPrivacy SecurityLeadershipCloudDigital TransformationPublic SectorSoftwareCIO Security PerspectivesSlideshowsMobilityAll CategoriesVideosPodcastsBlogsMore 2020 VisionTechnicity 2019Ingenious Awards 2019Cyber Security Awareness MonthCIO CensusCelebrating 25 Years CIO LeadershipAI Directory2019 IT Salary CalculatorBlogger OpportunitiesGartner CornerDigital Magazines Us OUCH Free Content gets hurt enabled Ad Blockers Please consider unblocking support great nongated content. Big Data Analytics Careers Leadership Women Technology Canada Post: Data Scientist Lead: Carol Wilson Dr. Cindy Gordon Published: July 26th, 2020What Data Scientist?Harvard Data Scientists sexiest job 21st Century.The field Data Science interdisciplinary field uses scientific methods, processes, algorithms leverages diverse systems extract knowledge insights structural unstructured data sets.Data science related data mining, deep learning big data, requires multidisciplinary skillset. What key translating data insights valuebased messages business leaders appreciate action. Having strong blend statistics, analytics technology skills vary widely, strong data scientist profiles demonstrate skills related problemsolving workplace, including soft skills communication, creativity teamwork.Having blend skills hard find, T shaped individuals strong technical communication crossfunctional knowledge domain skills fierce demand.Meet Carol Wilson, Director Advanced Analytics Canada PostCarol Director Advanced Analytics Canada Post Corporation reports Business Intelligence Analytics Group Strategy VP. In role, leads team seven data scientists responsible providing business datadriven answers business questions. They work hundreds projects year, usually major transformational programs challenged.This involve simple queries large data sets minutes machine learning models months develop. Carol currently specializes statistics research methods, presenting advanced techniques AI decision trees time series analysis discover relevancy business leaders Canada Post solve complex problems.A Little About Canada PostCanada Post provides postal services sixteen million addresses delivers annually billion items revenues approaching billion. Delivery takes place traditional door service centralized delivery twentyfive thousand letter carriers, thirteen thousand vehicle fleet. Securing economies scale balance supply demand complex logistics constant focus Canada Post data scientists.Canada Post rapidly advancing use AI Data Sciences problemsolving methods transform business done. Challenging research underway ensure company secures best routes maximize margin profitability. Canada Posts Data Science Team tackling complex shipping data secure insightful analytics improve operational efficiencies etc.What skills Canada Post data scientists solve complex challenges require Artificial Intelligence?Carols provided excellent summary foundational skills data scientists need recruited Canada Post, highlights skills needed enter field, different disciplines. The data scientists Canada Post expertise SAS SQL. At Canada Post, skills mandatory. In addition, skilled Python R moving AI Data Science languages instead SQL.Canada Post advancing data sources Cloud Microsoft Azure Platform offerings. In addition, Enterprise Data Warehouse EDW located Teradata appliance understanding Teradata TD Studio skills Canada Post data scientists learn data extractions advanced modelling. Carol stressed skills advanced statistics, importance strong math, science, computing skills. Strong analytical skills key strong data scientist data analysis required, blend business, data sciences computing skills provide strong foundation building career data scientist.What Carol study school data scientist?When I interviewed Carol, stressed young teenager, excelled Arts, particular, English big favorite. When graduated, enrolled Mount Allison University New Brunswick complete Psychology Degree. Her skills English invaluable able write clearly research findings observations, Arts served excellent foundation advance Data Science careers. Carol stressed, If communicate, skills math statistics wont help advance business leaders action data research insights. Carol later went complete Masters Degree Experimental Psychology McMaster University Hamilton.Learn More:To listen story Carol Wilsons journey Data Scientist How Canada Post applying Data Science, video SalesChoices YouTube Channel here.To listen second Carol Wilsons journey data scientist blog Channel, click here.You access additional knowledge Artificial Intelligence Data Sciences going SalesChoices AI Channel You Tube visit SalesChoice Predictive AI World Forum here. Here white papers, research papers, podcasts, webinar history, etc. advance knowledge AI.You AIDirectory.ai track whats happening AI ecosystem North America China, Joint Venture ITWC, CATA SalesChoice .To follow SalesChoice Twitter, here.To contact author, Dr. Cindy Gordon, CEO SalesChoice, reach LinkedInTo contact Carol Wilson, reach LinkedIn. Big Data Analytics, Careers, Leadership, Women Technology data science Canada Post: Data Scientist, Carol Wilson Lessons Learned About Dr. Cindy Gordon Cindy Gordon Founder CEO SalesChoice, AI SaaS Advanced Sales Analytics Company specializing Ending Revenue Uncertainty. She expert SaaS, Software Service, AI Artificial Intelligence, Business Innovation, Digital Convergence, Customer Relationship ManagementCRM, eCommerce Marketplaces, Digital Intelligence: Sales Marketing Operations. Related Content Landing dream data scientist position Data scientists spell sustainability Sponsored By: Box AI poised business breakthrough delivering content smarts workers The gaping chasm data science information systems Tweets itworldca Follow Resources CanadianCIO Digital Security CMO Digital CDN Magazine IT Salary Calculator LightningPR Webinars Events Tech Research Partner Content IT World Canada Community Us Technology Videos IT News IT Blogs Mobility News Cloud Computing Technology Topics ITWC Talks ITWC Websites ITWC.ca Channel Daily IT World IT Business.ca Direction 2020 IT World Canada
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https://www.chicagotribune.com/business/ct-biz-chicago-4c-insights-acquired-20200713-bahcnfoqzbdc5bv3t5eafirr7e-story.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+chicagotribune%2Fbusiness+%28Chicago+Tribune+news+-+Business%29
2020-07-14T00:00:00
en
Northwestern professor’s data science company acquired - Chicago Tribune
Northwestern professor’s data science company acquired - Chicago Tribune Skip to content Sections xml:space="preserve"> Search xml:space="preserve"> eNewspaper News alerts Best Reviews Subscriber services Obituaries Advertising Coronavirus in Illinois updates: 883 new known COVID-19 cases reported as city closes West Loop bar for violating crowding rules and Chicago Marathon canceled City closes West Loop bar for violating Chicago’s coronavirus crowding rules Rick Bayless leaving acclaimed Chicago restaurants Lena Brava and Cruz Blanca Neighbors get their say this week on a 43-story apartment tower proposal for the Near North Side. One condo board already says no. The Chicago Marathon, scheduled for Oct. 11, is canceled for just the 2nd time in its history Florida shatters record for a state’s largest single-day increase in coronavirus cases as WHO warns ‘no return to normal’ COVID-19 cases in Illinois by ZIP code: Search for your neighborhood President Donald Trump says he will bring down Chicago violence even if he has to ‘go in and take over’ ‘Glee’ star Naya Rivera found dead at 33 Oak Park and River Forest High School to offer e-learning this fall, with more rigorous classes than last spring Chance The Rapper shows support for Kanye West’s presidential bid, faces Twitter backlash Illinois coronavirus graphs: 7,193 deaths, 154,799 confirmed cases, 2 million tests, 4.2% positivity rate for Chicago area Column: If Stephen Hawking is right about Earth’s end, keep an eye on the deer Loyola University Chicago announces fall classes will be mostly online as coronavirus cases continue to rise South suburban schools to start a new school year like no other amid COVID-19 concerns Advertisement Advertisement Business A Northwestern professor’s data science company is being acquired for almost $200 million By Ally Marotti Chicago Tribune | Jul 13, 2020 at 6:15 PM 4C Insights, a Chicago-based company that helps advertisers coordinate their ads across social media and TV, is being acquired for almost $200 million. New York-based Mediaocean, which processes $150 billion in ad purchases annually, is the buyer. 4C’s platform will provide an additional offering to Mediaocean’s advertising clients, said Aaron Goldman, 4C’s chief marketing officer. Advertisement 4C will maintain its offices in Chicago, where it employs about 100 people, Goldman said. The deal is expected to close this month. The 9-year-old company was founded by Alok Choudhary, a professor at Northwestern University. Initially, it used social media data to better understand consumer behavior, Goldman said. The company has since added more data from additional media channels, including TV. Latest Business The US monthly budget deficit hit an all-time high of $864 billion in June, amid COVID-19 recession and mass unemployment 17m Gold Coast residents oppose marijuana dispensary. ‘If people want to smoke, god bless them, let them smoke, but why in this neighborhood?' 35m Rick Bayless leaving acclaimed Chicago restaurants Lena Brava and Cruz Blanca 3h Molson Coors stops production of Saint Archer Gold light lager after pandemic disrupts rollout 4h Plant-based flies off shelves when it’s sold in the meat aisle 4h Advertisement 4C’s platform allows advertisers to coordinate their ads across social media and TV. For example, an ad might run on a streaming platform at the same time it appears in a consumer’s social media feed. [Most read] Coronavirus in Illinois updates: 883 new known COVID-19 cases reported as city closes West Loop bar for violating crowding rules and Chicago Marathon canceled » The terms of the deal were not disclosed, but a source familiar with the matter confirmed the acquisition price of almost $200 million. [email protected] Twitter @AllyMarotti Recommended on Chicago Tribune Advertisement Latest Business Nation & World The US monthly budget deficit hit an all-time high of $864 billion in June, amid COVID-19 recession and mass unemployment 17m Business Gold Coast residents oppose marijuana dispensary. ‘If people want to smoke, god bless them, let them smoke, but why in this neighborhood?' 35m Dining Rick Bayless leaving acclaimed Chicago restaurants Lena Brava and Cruz Blanca 3h Advertisement Most Read • Business Gold Coast residents oppose marijuana dispensary. ‘If people want to smoke, god bless them, let them smoke, but why in this neighborhood?' 35m Wall Street’s campaign to hire Black talent isn’t going so well 11:03 AM Advertisement Most Read on Chicago Tribune Coronavirus Coronavirus in Illinois updates: 883 new known COVID-19 cases reported as city closes West Loop bar for violating crowding rules and Chicago Marathon canceled 25m Coronavirus City closes West Loop bar for violating Chicago’s coronavirus crowding rules 2h Dining Rick Bayless leaving acclaimed Chicago restaurants Lena Brava and Cruz Blanca 3h Advertisement CONNECT TRIBUNE PUBLISHING New York Daily News Orlando Sentinel The Morning Call of Pa. Daily Press of Va. The Daily Meal The Baltimore Sun Sun Sentinel of Fla. Hartford Courant The Virginian-Pilot BestReviews COMPANY INFO Careers Privacy Policy Archives Coupons Manage Web Notifications FAQ Do Not Sell My Personal Information About us Terms of Service Contact us Local print ads TAG disclosure Media kit Copyright © 2020, Chicago Tribune
Northwestern professor’s data science company acquired
Northwestern professors data science company acquired Chicago Tribune Skip content Sections xml:space=preserve> xml:space=preserve> eNewspaper News alerts Best Reviews r services Obituaries Advertising Coronavirus Illinois updates: 883 new known COVID19 cases reported city closes West Loop bar violating crowding rules Chicago Marathon canceled City closes West Loop bar violating Chicagos coronavirus crowding rules Rick Bayless leaving acclaimed Chicago restaurants Lena Brava Cruz Blanca Neighbors week 43story apartment tower proposal Near North Side. One condo board says no. The Chicago Marathon, scheduled Oct. 11, canceled 2nd time history Florida shatters record states largest singleday increase coronavirus cases WHO warns return normal COVID19 cases Illinois ZIP code: neighborhood President Donald Trump says bring Chicago violence Glee star Naya Rivera dead 33 Oak Park River Forest High School offer elearning fall, rigorous classes spring Chance The Rapper shows support Kanye Wests presidential bid, faces Twitter backlash Illinois coronavirus graphs: 7,193 deaths, 154,799 confirmed cases, 2 million tests, 4.2 positivity rate Chicago area Column: If Stephen Hawking right Earths end, eye deer Loyola University Chicago announces fall classes online coronavirus cases continue rise South suburban schools start new school year like amid COVID19 concerns Advertisement Advertisement Business A Northwestern professors data science company acquired 200 million By Ally Marotti Chicago Tribune Jul 13, 2020 6:15 PM 4C Insights, Chicagobased company helps advertisers coordinate ads social media TV, acquired 200 million. New Yorkbased Mediaocean, processes 150 billion ad purchases annually, buyer. 4Cs platform provide additional offering Mediaoceans advertising clients, said Aaron Goldman, 4Cs chief marketing officer. Advertisement 4C maintain offices Chicago, employs 100 people, Goldman said. The deal expected close month. The 9yearold company founded Alok Choudhary, professor Northwestern University. Initially, social media data better understand consumer behavior, Goldman said. The company added data additional media channels, including TV. Latest Business The US monthly budget deficit hit alltime high 864 billion June, amid COVID19 recession mass unemployment 17m Gold Coast residents oppose marijuana dispensary. If people want smoke, god bless them, let smoke, neighborhood? 35m Rick Bayless leaving acclaimed Chicago restaurants Lena Brava Cruz Blanca 3h Molson Coors stops production Saint Archer Gold light lager pandemic disrupts rollout 4h Plantbased flies shelves sold meat aisle 4h Advertisement 4Cs platform allows advertisers coordinate ads social media TV. For example, ad run streaming platform time appears consumers social media feed. [Most read] Coronavirus Illinois updates: 883 new known COVID19 cases reported city closes West Loop bar violating crowding rules Chicago Marathon canceled The terms deal disclosed, source familiar matter confirmed acquisition price 200 million. amarotti Twitter Recommended Chicago Tribune Advertisement Latest Business Nation World The US monthly budget deficit hit alltime high 864 billion June, amid COVID19 recession mass unemployment 17m Business Gold Coast residents oppose marijuana dispensary. If people want smoke, god bless them, let smoke, neighborhood? 35m Dining Rick Bayless leaving acclaimed Chicago restaurants Lena Brava Cruz Blanca 3h Advertisement Most Read Business Gold Coast residents oppose marijuana dispensary. If people want smoke, god bless them, let smoke, neighborhood? 35m Wall Streets campaign hire Black talent isnt going 11:03 AM Advertisement Most Read Chicago Tribune Coronavirus Coronavirus Illinois updates: 883 new known COVID19 cases reported city closes West Loop bar violating crowding rules Chicago Marathon canceled 25m Coronavirus City closes West Loop bar violating Chicagos coronavirus crowding rules 2h Dining Rick Bayless leaving acclaimed Chicago restaurants Lena Brava Cruz Blanca 3h Advertisement CONNECT TRIBUNE PUBLISHING New York Daily News Orlando Sentinel The Morning Call Pa. Daily Press Va. The Daily Meal The Baltimore Sun Sun Sentinel Fla. Hartford Courant The VirginianPilot BestReviews COMPANY INFO Careers Archives Coupons Manage Web Notifications FAQ Do Not Sell My Personal Information About Local print ads TAG disclosure Media kit 2020, Chicago Tribune
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https://bulletinline.com/2020/08/31/automotive-artificial-intelligence-market-2020-top-company-profiles-volvo-car-corporation-alphabet-qualcomm-ford-motor-company-microsoft-corporation-general-motors-company-xilinx-bayerische/
2020-09-01T00:00:00
en
Automotive Artificial Intelligence Market 2020, Top Company Profiles – Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, Start-Up Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company – Bulletin Line
Automotive Artificial Intelligence Market 2020, Top Company Profiles – Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, Start-Up Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company – Bulletin Line Bulletin Line Market Research Reports Home COVID-19 Industry Impact Latest Market Reports Market Price Analysis Market Study Contact Us Home2020August31Automotive Artificial Intelligence Market 2020, Top Company Profiles – Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, Start-Up Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company Automotive Artificial Intelligence Market 2020, Top Company Profiles – Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, Start-Up Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company Posted On: August 31, 2020 Posted By: [email protected] Comments: 0 “ ‘Global Automotive Artificial Intelligence Market 2020’ and in-depth worldwide market study and future prospects of the market. The survey covers essential Automotive Artificial Intelligence data making the record a handy source for supervisors, analysts, business specialists and other. Get ready-to-access along with self-analyzed Automotive Artificial Intelligence research together with tables and graphs to assist market trends, drivers and market restraints. Automotive Artificial Intelligence report represented in a pictorial manner in the kind of tables, charts, pie-charts, and statistics structure. Diverse manners are used to assemble info regarding global Automotive Artificial Intelligence market covers top to bottom approach. Automotive Artificial Intelligence report provides run down of all producers/merchants data, statistics sources, examine customs, along with addendum. This report examines the global Automotive Artificial Intelligence economy status and prediction, categorizes the worldwide Automotive Artificial Intelligence market size (volume & value) by manufacturers, type, application, as well as region. Request for Sample Report at https://www.orbisresearch.com/contacts/request-sample/4533242 The global Automotive Artificial Intelligence market report is mainly classified on the basis of: Prominent market players consisting of: Volvo Car Corporation Alphabet Qualcomm Ford Motor Company Microsoft Corporation General Motors Company Xilinx Bayerische Motoren Werke AG Audi AG Honda Motor Uber Technologies Didi Chuxing Daimler AG Harman International Industries Toyota Motor Corporation Start-Up Ecosystem Intel Corporation Tesla International Business Machines Corporation Hyundai Motor Company Years considered for this report: Historical Years: 2015-2019 Base Year: 2019 Estimated Year: 2020 Forecast Period: 2020-2027 Apart from, production volume and value, the global Automotive Artificial Intelligence market share, import/export details, price/cost, growth analysis and SWOT analysis. To specify, clarify and predict industry by type, region, and applications. Is targeted at the worldwide important manufacturers, to specify, clarify and analyze the global Automotive Artificial Intelligence industry landscape, PESTEL analysis. Product types consisting of: Deep Learning Machine Learning Context Awareness Computer Vision Natural Language Processing Applications consisting of: Human–Machine Interface Semi-autonomous Driving Autonomous Driving The report focuses on the division of regional and worldwide Automotive Artificial Intelligence market. The regional exploration of the Automotive Artificial Intelligence market consists of United States, Europe, Asia-Pacific, Central and South America, Middle East and Africa respectively. Along with, in-depth research on the market of several traders and sellers. The Automotive Artificial Intelligence market describes the Automotive Artificial Intelligence market structure, economical landscaping and a thorough breakdown of pricing. Simultaneously, the report studies the Automotive Artificial Intelligence market dimensions surveyed along with the forecast period and circumstances. This Automotive Artificial Intelligence intensive regional assessment supplies the readers a very clear perspective of their very most persuasive trends existing in every geographies area. Besides that, the report covers Automotive Artificial Intelligence industry dimensions and will be offering to those regions, along with expected dimensions, which can be used for associations in realizing the consumption growth of those regions. Inquire before purchasing the report here: https://www.orbisresearch.com/contacts/enquiry-before-buying/4533242 Objectives of the global Automotive Artificial Intelligence industry report are: – Examine the substantial Automotive Artificial Intelligence driving factors, trends that limit the industry development; – Forecast sections, sub-segments along with regional niches based on past 5 years history; – To investigate competitive improvements such as expansions, arrangements, new product launches, and acquisitions in the global Automotive Artificial Intelligence industry; – Define and analyze the industry contest landscape, SWOT analysis; – Analysis of this global Automotive Artificial Intelligence market with Type, by application/end consumers and regions shrewd. – Capability, manufacturing, value, ingestion, standing (2015-2019) and prediction (2020-2027); – To investigate the chances on the market for stakeholders by pinpointing the higher growth sections; – Forecast and evaluation of Global Automotive Artificial Intelligence Market Trends, Drivers, Investment Opportunities, Openings, Risk, Difficulties, along with Tips. – Key and global regions promote advantage and potential, challenge and opportunity, restraints and dangers; – Important trends and factors driving the global Automotive Artificial Intelligence industry development. The global Automotive Artificial Intelligence market report imports an inspiring output, influencing factors, in-depth cost analysis. Automotive Artificial Intelligence market report explains the major factors including market restraints, opportunities, trends, and driving elements. It evaluates the historical and current data of the Automotive Artificial Intelligence market scenario to encounter the future market plans and obstacles. Also, the report submits the current Automotive Artificial Intelligence market players along with the upcoming players. Single User Copy Direct Purchase @ https://www.orbisresearch.com/contact/purchase-single-user/4533242 About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager – Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 Email ID: [email protected] ” Post navigation Prev PostNext Post Search News About usHome Contact Us Know About Us Our Staff PoliciesPrivacy Policy Editorial Policy Use of Cookies Bulletin Line by Everestthemes
Automotive Artificial Intelligence Market 2020, Top Company Profiles
Automotive Artificial Intelligence Market 2020, Top Company Profiles Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, StartUp Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020August31Automotive Artificial Intelligence Market 2020, Top Company Profiles Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, StartUp Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company Automotive Artificial Intelligence Market 2020, Top Company Profiles Volvo Car Corporation, Alphabet, Qualcomm, Ford Motor Company, Microsoft Corporation, General Motors Company, Xilinx, Bayerische Motoren Werke AG, Audi AG, Honda Motor, Uber Technologies, Didi Chuxing, Daimler AG, Harman International Industries, Toyota Motor Corporation, StartUp Ecosystem, Intel Corporation, Tesla, International Business Machines Corporation, Hyundai Motor Company Posted On: August 31, 2020 Posted By: [emailprotected] Comments: 0 Global Automotive Artificial Intelligence Market 2020 indepth worldwide market study future prospects market. The survey covers essential Automotive Artificial Intelligence data making record handy source supervisors, analysts, business specialists other. Get readytoaccess selfanalyzed Automotive Artificial Intelligence research tables graphs assist market trends, drivers market restraints. Automotive Artificial Intelligence report represented pictorial manner kind tables, charts, piecharts, statistics structure. Diverse manners assemble info global Automotive Artificial Intelligence market covers approach. Automotive Artificial Intelligence report provides run producersmerchants data, statistics sources, examine customs, addendum. This report examines global Automotive Artificial Intelligence economy status prediction, categorizes worldwide Automotive Artificial Intelligence market size volume value manufacturers, type, application, region. Request Sample Report The global Automotive Artificial Intelligence market report mainly classified basis of: Prominent market players consisting of: Volvo Car Corporation Alphabet Qualcomm Ford Motor Company Microsoft Corporation General Motors Company Xilinx Bayerische Motoren Werke AG Audi AG Honda Motor Uber Technologies Didi Chuxing Daimler AG Harman International Industries Toyota Motor Corporation StartUp Ecosystem Intel Corporation Tesla International Business Machines Corporation Hyundai Motor Company Years considered report: Historical Years: 20152019 Base Year: 2019 Estimated Year: 2020 Forecast Period: 20202027 Apart from, production volume value, global Automotive Artificial Intelligence market share, importexport details, pricecost, growth analysis SWOT analysis. To specify, clarify predict industry type, region, applications. Is targeted worldwide important manufacturers, specify, clarify analyze global Automotive Artificial Intelligence industry landscape, PESTEL analysis. Product types consisting of: Deep Learning Machine Learning Context Awareness Computer Vision Natural Language Processing Applications consisting of: HumanMachine Interface Semiautonomous Driving Autonomous Driving The report focuses division regional worldwide Automotive Artificial Intelligence market. The regional exploration Automotive Artificial Intelligence market consists United States, Europe, AsiaPacific, Central South America, Middle East Africa respectively. Along with, indepth research market traders sellers. The Automotive Artificial Intelligence market describes Automotive Artificial Intelligence market structure, economical landscaping thorough breakdown pricing. Simultaneously, report studies Automotive Artificial Intelligence market dimensions surveyed forecast period circumstances. This Automotive Artificial Intelligence intensive regional assessment supplies readers clear perspective persuasive trends existing geographies area. Besides that, report covers Automotive Artificial Intelligence industry dimensions offering regions, expected dimensions, associations realizing consumption growth regions. Inquire purchasing report here: Objectives global Automotive Artificial Intelligence industry report are: Examine substantial Automotive Artificial Intelligence driving factors, trends limit industry development; Forecast sections, subsegments regional niches based past 5 years history; To investigate competitive improvements expansions, arrangements, new product launches, acquisitions global Automotive Artificial Intelligence industry; Define analyze industry contest landscape, SWOT analysis; Analysis global Automotive Artificial Intelligence market Type, applicationend consumers regions shrewd. Capability, manufacturing, value, ingestion, standing 20152019 prediction 20202027; To investigate chances market stakeholders pinpointing higher growth sections; Forecast evaluation Global Automotive Artificial Intelligence Market Trends, Drivers, Investment Opportunities, Openings, Risk, Difficulties, Tips. Key global regions promote advantage potential, challenge opportunity, restraints dangers; Important trends factors driving global Automotive Artificial Intelligence industry development. The global Automotive Artificial Intelligence market report imports inspiring output, influencing factors, indepth cost analysis. Automotive Artificial Intelligence market report explains major factors including market restraints, opportunities, trends, driving elements. It evaluates historical current data Automotive Artificial Intelligence market scenario encounter future market plans obstacles. Also, report submits current Automotive Artificial Intelligence market players upcoming players. Single User Copy Direct Purchase @ : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Email ID: [emailprotected] Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes
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https://www.businesschief.com/technology-and-ai/honda-incorporate-siri-select-2013-cars-1
2020-08-02T00:00:00
en
Honda to Incorporate Siri into Select 2013 Cars | Technology & AI | Business Chief North America
Honda to Incorporate Siri into Select 2013 Cars | Technology & AI | Business Chief North America
Honda to Incorporate Siri into Select 2013 Cars
Honda orporate Siri Select 2013 Cars Technology AI Business Chief North America
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https://eurowire.co/politics/506740/global-computer-vision-system-market-2026-the-leading-industry-players-cognex-basler-omron-keyence-national-instruments-etc/
2020-10-27T00:00:00
en
Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. – Eurowire
Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. – Eurowire Eurowire Coronavirus Economy Energy Politics Space Contact HomePoliticsGlobal Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Posted On: October 27, 2020 Posted By: anita Comments: 0 Gauging through Scope: Global Computer Vision System Market, 2020-27Augmented by various supportive market forces and elements, the global Computer Vision System market is anticipated to demonstrate a lingering growth stride in the coming years through the forecast span, 2020-25, reverberating a steady CAGR output. This well presented, highly researched market synopsis sets forth a thoroughly unbiased portrayal of the current market conditions to aid enthusiastic investors and established players in global Computer Vision System market to harness high potential growth and steady revenue output through the entire growth span. For further inkling into historical events and developments in the aforementioned market, this well-researched documentation delves into historical timeline, unearthing significant market developments that have upscaled growth in multiple significant ways. Vendor LandscapeThe report draws references of an extensive analysis of the Computer Vision System market, entailing crucial details about key market players, complete with a broad overview of expansion probability and expansion strategies. Cognex Basler Omron Keyence National Instruments Sony Teledyne Technologies Texas Instruments Intel Baumer Optronic Jai Mvtec Software Isra Vision Sick Mediatek Cadence Design Systems Ceva Synopsys Available Sample Report in PDF Version along with Graphs and [email protected] https://www.orbisresearch.com/contacts/request-sample/4227610?utm_source=PM Present and past market developments help market players to well comprehend current growth effective parameters to ensure lucrative returns in the coming years. The report is inclined towards unravelling diverse influencing catalysts that have systematically orchestrated high potential growth in global Computer Vision System market taking into account both historic and current perspectives. Global Computer Vision System Market: Type & Application based Analysis Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization. Hardware Software and Service Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgment regarding the various applications that the Computer Vision System market mediates for superlative end-user benefits. Automotive Sports and Entertainment Consumer Robotics and Machine Vision Medical Security and Surveillance Competitive Landscape• The report encourages high end commercialization and profit steering possibilities, also considering market dimensions and volatility of market size. • To ensure thoroughly impeccable investor participation and noteworthy growth prospects, this section of the report also dwells over accurately decoding the competitive landscape with astute high-end identification of frontline players, complete with an in-depth analytical study of their business choices and investment discretion. • Details pertaining to portfolio advances, regional footprint and other relevant market details have been well gauged in this report to ensure smooth ride and optimistic business returns despite several odds and unprecedented challenges. Read complete report along with TOC @ https://www.orbisresearch.com/reports/index/global-computer-vision-system-market-size-status-and-forecast-2020-2026?utm_source=PM COVID-19 Impact AnalysisThis intensively researched report presentation has been prepared in real time parlance, rendering substantial attention towards COVID-19 outbreak that has lately wreaked unprecedented damage across industries, stagnating growth. Geographical Breakdown and Analysis: Global Computer Vision System Market• This relevant study includes a thorough reference of vivid geographical spectrum, highlighting crucial elements such as notable growth hotspots, vendor investments pertaining to advertising and promotion, product and service portfolio expansion, technological milestones and consequent customer reactions. • The report broadly segregates global Computer Vision System market into specific regional pockets comprising North America, Europe, Asia-Pacific, South America & Middle East and Africa. • Further in the report, readers are offered high end market relevant details bordering sales performance and profit generation across specific geographical region. • Besides analyzing investment returns across each geographical pocket, the report also proceeds with unravelling minute details on customer behavior, purchase tendencies as well as swift transitions in choices, based on which frontline players may re-assess growth objectives for long-term stability. Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: Computer Vision System Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More… A dedicated chapter on COVID-19 analysis has therefore been included in this versatile report to encourage future-ready business discretion aligning with post COVID-19 market environment. Shoot your queries at:@ https://www.orbisresearch.com/contacts/enquiry-before-buying/4227610?utm_source=PM Market Report Offerings in a Gist:• A thorough reference of the dominant trends as well as relevant market dynamics• Elaborate analysis and reference of core products and dynamic segments• A thorough analysis of the competition spectrum and winning strategies of the major players• COVID-19 analysis and recovery route• PESTEL and SWOT analysis besides other analysis The report is designed to offer remarkable breakthroughs pertaining to distribution and supplychain operations, besides also showcasing logistics angle. The report is designed to highlight crucial details on key competition trends, popular sales channels as well as other growth instigating parameters, crucial for growth. The report also identifies the segment with most promising growth potential and revenue boosting capabilities. 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 Post navigation Prev Post Recent Posts Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Lecture Capture Systems Market Size, Share, Trends, Analysis and Future Growth Predictions till 2027 Telecom Outsourcing Market Size, Share, Trends, Analysis and Future Growth Predictions till 2027 Edible Packaging Market Emerging Trends, Business Opportunities, Segmentation, Production Values, Supply-Demand, Brand Shares and Forecast 2020-2027 Latest Research report on Hiking Boots Market Size predicts favorable growth and forecast 2020 – 2025| By Top Leading Vendors like SALOMON, Garmont, KEEN, Vasque, etc Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Coronavirus Economy Energy News Politics Space Sports Uncategorized Meta Log in Entries feed Comments feed WordPress.org Eurowire by Everestthemes
Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc.
Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Eurowire Eurowire Coronavirus Economy Energy Politics Space HomePoliticsGlobal Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Posted On: October 27, 2020 Posted By: anita Comments: 0 Gauging Scope: Global Computer Vision System Market, 202027Augmented supportive market forces elements, global Computer Vision System market anticipated demonstrate lingering growth stride coming years forecast span, 202025, reverberating steady CAGR output. This presented, highly researched market synopsis sets forth thoroughly unbiased portrayal current market conditions aid enthusiastic investors established players global Computer Vision System market harness high potential growth steady revenue output entire growth span. For inkling historical events developments aforementioned market, wellresearched documentation delves historical timeline, unearthing significant market developments upscaled growth multiple significant ways. Vendor LandscapeThe report draws references extensive analysis Computer Vision System market, entailing crucial details key market players, complete broad overview expansion probability expansion strategies. Cognex Basler Omron Keyence National Instruments Sony Teledyne Technologies Texas Instruments Intel Baumer Optronic Jai Mvtec Software Isra Vision Sick Mediatek Cadence Design Systems Ceva Synopsys Available Sample Report PDF Version Graphs [emailprotected] Present past market developments help market players comprehend current growth effective parameters ensure lucrative returns coming years. The report inclined unravelling diverse influencing catalysts systematically orchestrated high potential growth global Computer Vision System market taking account historic current perspectives. Global Computer Vision System Market: Type Application based Analysis Analysis Type: This section report includes factual details pertaining lucrative segment harnessing revenue maximization. Hardware Software Service Analysis Application: Further subsequent sections report, research analysts rendered precise judgment applications Computer Vision System market mediates superlative enduser benefits. Automotive Sports Entertainment Consumer Robotics Machine Vision Medical Security Surveillance Competitive Landscape The report encourages high end commercialization profit steering possibilities, considering market dimensions volatility market size. To ensure thoroughly impeccable investor participation noteworthy growth prospects, section report dwells accurately decoding competitive landscape astute highend identification frontline players, complete indepth analytical study business choices investment discretion. Details pertaining portfolio advances, regional footprint relevant market details gauged report ensure smooth ride optimistic business returns despite odds unprecedented challenges. Read complete report TOC @ COVID19 Impact AnalysisThis intensively researched report presentation prepared real time parlance, rendering substantial attention COVID19 outbreak lately wreaked unprecedented damage industries, stagnating growth. Geographical Breakdown Analysis: Global Computer Vision System Market This relevant study includes thorough reference vivid geographical spectrum, highlighting crucial elements notable growth hotspots, vendor investments pertaining advertising promotion, product service portfolio expansion, technological milestones consequent customer reactions. The report broadly segregates global Computer Vision System market specific regional pockets comprising North America, Europe, AsiaPacific, South America Middle East Africa. Further report, readers offered high end market relevant details bordering sales performance profit generation specific geographical region. Besides analyzing investment returns geographical pocket, report proceeds unravelling minute details customer behavior, purchase tendencies swift transitions choices, based frontline players reassess growth objectives longterm stability. Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share Key Players Chapter 4. Breakdown Data Type Application Chapter 5. Market End UsersApplication Chapter 6. COVID19 Outbreak: Computer Vision System Industry Impact Chapter 7. Opportunity Analysis Covid19 Crisis Chapter 9. Market Driving ForceAnd Many More A dedicated chapter COVID19 analysis included versatile report encourage futureready business discretion aligning post COVID19 market environment. Shoot queries at:@ Market Report Offerings Gist: A thorough reference dominant trends relevant market dynamics Elaborate analysis reference core products dynamic segments A thorough analysis competition spectrum winning strategies major players COVID19 analysis recovery route PESTEL SWOT analysis analysis The report designed offer remarkable breakthroughs pertaining distribution supplychain operations, showcasing logistics angle. The report designed highlight crucial details key competition trends, popular sales channels growth instigating parameters, crucial growth. The report identifies segment promising growth potential revenue boosting capabilities. :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 Post navigation Prev Post Recent Posts Global Computer Vision System Market 2026 The leading Industry Players : Cognex, Basler, Omron, Keyence, National Instruments etc. Lecture Capture Systems Market Size, Share, Trends, Analysis Future Growth Predictions till 2027 Telecom Outsourcing Market Size, Share, Trends, Analysis Future Growth Predictions till 2027 Edible Packaging Market Emerging Trends, Business Opportunities, Segmentation, Production Values, SupplyDemand, Brand Shares Forecast 20202027 Latest Research report Hiking Boots Market Size predicts favorable growth forecast 2020 2025 By Top Leading Vendors like SALOMON, Garmont, KEEN, Vasque, Archives October 2020 September 2020 August 2020 July 2020 June 2020 Categories Coronavirus Economy Energy News Politics Space Sports Uncategorized Meta Log Entries feed Comments feed Eurowire Everestthemes
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Current and Future Global AI for Surveillance and Security Maket Trend by 2020-2026 – Feed Road
Current and Future Global AI for Surveillance and Security Maket Trend by 2020-2026 – Feed Road Toggle navigation Home About Our Authors Contact Privacy Cookies 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 Search for: Current and Future Global AI for Surveillance and Security Maket Trend by 2020-2026 March 23, 2020 Off By Rahul Global “AI for Surveillance and Security” report 2020 – 2025 comprises the competitive landscape segment which offers a full and comprehensive analysis of the current market trends, changing technologies and developments that will be beneficial for the companies, which are competing in the market. AI for Surveillance and Security report provides an in-depth analysis of different attributes of industries such as trends, policies, and clients operating in several regions. The qualitative and quantitative analysis techniques have been used by predictorsto provide accurate and applicable data to the readers, business owners and industry experts. Get a Sample Copy of the Report – https://www.qyresearch.com/sample-form/form/1599733/global-ai-for-surveillance-and-security-market The globalAI for Surveillance and Security is anticipated to rise at a considerable rate during the forecast period, between 2020 and2025. In 2020, the market was growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon. Scope of Report: Global AI for Surveillance and Security growth provides information such as company profiles, product picture and specification, price, cost, capacity, production, revenue and contact information.In Report development policies and plans are discussed as well as manufacturing processes and cost structures. This report also states import/export, supply and consumption figures as well as cost, price, revenue and gross margin by regions.This report offers key statistics information on the market situation of the manufacturers and is a beneficial source of advice and guidance for companies and person involved in the industry. The report offers a basic outlook of the industry containing its introduction, applications, and AI for Surveillance and Security manufacturing technology. Also, the report analyzes the international key market players in-depth.Then, the report focuses on global major leading industry players with information such as company profiles, product picture and specification, price, capacity, production, cost, revenue and contact information. Upstream raw materials, equipment and downstream consumer’s ana        lysis is also carried out. The industry development trends and marketing channels are analyzed. Top listed manufacturers for global AI for Surveillance and Security are: , IBM, Amazon, Intel, Microsoft, Apple, Genpact, Infosys, … AI for Surveillance and Security 2020 global industry research report is a professional and in-depth study on the AI for Surveillance and Security trends, share, size, growth, as well as industry analysis. Furthermore, market size, the revenue shares of each segment and its sub-segments, as well as forecast figures are also covered in this report. AI for Surveillance and Security Forecast 2025 report study provides key statistics on the market status of the AI for Surveillance and Security manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. AI for Surveillance and Security report provides detailed coverage of AI for Surveillance and Security industry and main market trends. The AI for Surveillance and Security research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading AI for Surveillance and Security by geography. The AI for Surveillance and Security report splits the market size, by volume and value, on the basis of application type and geography. First, this report covers the present status and the future prospects of the global AI for Surveillance and Security for 2015-2025. Market by Type: , Cloud-based, On-premises Market by Application: , Retail, BFSI, Oil & Gas, Automotive, Aerospace, Others Market by Region: North America (U.S., Canada, Mexico) Europe (Germany, U.K., France, Italy, Russia, Spain etc.) Asia-Pacific (China, India, Japan, Southeast Asia etc.) South America (Brazil, Argentina etc.) Middle East and Africa (Saudi Arabia, South Africa etc.) Enquire before purchasing this report – The report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of AI for Surveillance and Security by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report. Key Benefit of AI for Surveillance and Security Report: Identification and detailed analysis on key market dynamics, such as, drivers, restraints, opportunities, and challenges influencing growth of the market Analysis on key players’ strategic initiatives and competitive developments, such as joint ventures, mergers, and new product launches in the market Detailed analysis on industry outlook with market specific, and supply chain to better understand the market and build expansion strategies Global, regional, country, types, and application market size and their forecast Identification of key market players and comprehensively analyze their market share and core skills, key products, detailed financial positions, and unique selling points Expert discussions and their insights on market change, current and future outlook, and factors impacting vendors’ short term and long term strategies Detailed insights on emerging regions, types, and application with qualitative and quantitative information and facts Key questions answered in the report: What will the market growth rate of AI for Surveillance and Security in 2025? What are the key factors driving the global AI for Surveillance and Security? Who are the key manufacturers in AI for Surveillance and Security space? What are the market opportunities, market risk and market overview of the AI for Surveillance and Security? What are sales, revenue, and price analysis of top manufacturers of AI for Surveillance and Security? Who are the distributors, traders and dealers of AI for Surveillance and Security? What are the AI for Surveillance and Security opportunities and threats faced by the vendors in the global AI for Surveillance and Security industry? What are sales, revenue, and price analysis by types and applications of AI for Surveillance and Security? What are sales, revenue, and price analysis by regions of AI for Surveillance and Security industry? AI for Surveillance and Security report also focuses on global major leading industry players of Global AI for Surveillance and Security industry providing information such as cost, company profiles, product picture and specification, price, capacity, production, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out. With tables and figures helping analyze worldwide Global AI for Surveillance and Security, 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. The Global AI for Surveillance and Security development trends and marketing channels are analyzed in this report. Finally, the feasibility of new investment projects is assessed and overall research conclusions offered. Main Aspects covered in the Report Overview of the AI for Surveillance and Security including production, consumption, status and forecast and market growth. 2015-2019 historical data and 2020 – 2025 market forecast. Geographical analysis including major countries. Overview the product type market including development. Overview the end-user market including development. AI for Surveillance and Security forecast 2025 report study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts. The AI for Surveillance and Security report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing. Research objectives: To understand the structure of AI for Surveillance and Security by identifying its various subsegments. Focuses on the key global AI for Surveillance and Security manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years. To analyze the AI for Surveillance and Security with respect to individual growth trends, future prospects, and their contribution to the total market. To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks). To project the consumption of AI for Surveillance and Security submarkets, with respect to key regions (along with their respective key countries). To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market. To strategically profile the key players and comprehensively analyze their growth strategies. Purchase this report  : https://www.qyresearch.com/settlement/pre/8bd14bc97f0ff4bceecd475ce91a55d9,0,1,Global-AI-in-Asset-Management-Market-Report-History-and-Forecast-Breakdown-Data-by-Companies-Key-Regions-Types-and-Applicatio In the end, AI for Surveillance and Security report provides details of competitive developments such as expansions, agreements, new product launches, and acquisitions in the market for forecasting, regional demand and supply factor, investment, market dynamics including technical scenario, consumer behaviour, and end use industry trends and dynamics, capacity, spending were taken into consideration. Detailed TOC of Global   CategoryAnalysis Forecast Headlines Market Reports Antiarrhythmic Drugs Market Checkout the Unexpected Future 2027 | Key Players: Pfizer, Novartis, Merck, etc. Steam Turbine MRO Market Booming Demand Leading to Exponential CAGR Growth by 2027 | MarketExpertz.Com Recent Posts Gas Circuit Breaker Market – Worldwide Growth Survey by 2025 Global Uranium Market Insights 2019-2025 | Sinosteel, CNNC, Sinohydro, Jinduicheng Molybdenum, JiangXi Copper Corporation Global Urea Ammonium Nitrate (UAN) Market Insights 2019-2025 | Bunge Limited, Nutrien (Agrium Inc and PotashCorp), Yara International ASA, Eurochem Group AG, CF Industries Holdings Inc. 2020-2025 Global and Regional N-Vinyl-2-Pyrrolidone Industry Production, Sales and Consumption Status and Prospects Professional Market Research Report Global Urea Formaldehyde (UF) Resin Market Insights 2019-2025 | GP Chemicals, Hexion, ARCL, BASF, Nafta-Lendava Visual Analytics Market 2020 Current Scope, Solutions, Demand, Platforms, Substantial Growth, Key Players Analysis and Market Segmentation till 2025 Global Urea Formaldehyde Resin Market Insights 2019-2025 | Hexion, Advachem, Metadynea, Allnex, Dynea Global Urea Market Insights 2019-2025 | BASF Corporation, BIP (Oldbury) Limited, Chemiplastica, Jiangsu Sanmu Group Corporation Global Urea Phosphate Market Insights 2019-2025 | Haifa, SQM, Evergrow, Zuari Agro, ISHITA Global Urea-Formaldehyde Market Insights 2019-2025 | BASF, DuPont, SABIC, The Dow Chemical, Eastman Chemical Proudly powered by WordPress | Theme: Envo Magazine
Current and Future Global AI for Surveillance and Security Maket Trend by 2020-2026
Current Future Global AI Surveillance Security Maket Trend 20202026 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: Current Future Global AI Surveillance Security Maket Trend 20202026 March 23, 2020 Off By Rahul Global AI Surveillance Security report 2020 2025 comprises competitive landscape segment offers comprehensive analysis current market trends, changing technologies developments beneficial companies, competing market. AI Surveillance Security report provides indepth analysis different attributes industries trends, policies, clients operating regions. The qualitative quantitative analysis techniques predictorsto provide accurate applicable data readers, business owners industry experts. Get Sample Copy Report The globalAI Surveillance Security anticipated rise considerable rate forecast period, 2020 and2025. In 2020, market growing steady rate rising adoption strategies key players, market expected rise projected horizon. Scope Report: Global AI Surveillance Security growth provides information company profiles, product picture specification, price, cost, capacity, production, revenue contact information.In Report development policies plans discussed manufacturing processes cost structures. This report states importexport, supply consumption figures cost, price, revenue gross margin regions.This report offers key statistics information market situation manufacturers beneficial source advice guidance companies person involved industry. The report offers basic outlook industry containing introduction, applications, AI Surveillance Security manufacturing technology. Also, report analyzes international key market players indepth.Then, report focuses global major leading industry players information company profiles, product picture specification, price, capacity, production, cost, revenue contact information. Upstream raw materials, equipment downstream consumers ana lysis carried out. The industry development trends marketing channels analyzed. Top listed manufacturers global AI Surveillance Security are: , IBM, Amazon, Intel, Microsoft, Apple, Genpact, Infosys, AI Surveillance Security 2020 global industry research report professional indepth study AI Surveillance Security trends, share, size, growth, industry analysis. Furthermore, market size, revenue shares segment subsegments, forecast figures covered report. AI Surveillance Security Forecast 2025 report study provides key statistics market status AI Surveillance Security manufacturers valuable source guidance direction companies individuals interested industry. AI Surveillance Security report provides detailed coverage AI Surveillance Security industry main market trends. The AI Surveillance Security research includes historical forecast market data, demand, application details, price trends, company shares leading AI Surveillance Security geography. The AI Surveillance Security report splits market size, volume value, basis application type geography. First, report covers present status future prospects global AI Surveillance Security 20152025. Market Type: , Cloudbased, Onpremises Market Application: , Retail, BFSI, Oil Gas, Automotive, Aerospace, Others Market Region: North America U.S., Canada, Mexico Europe Germany, U.K., France, Italy, Russia, Spain etc. AsiaPacific China, India, Japan, Southeast Asia etc. South America Brazil, Argentina etc. Middle East Africa Saudi Arabia, South Africa etc. Enquire purchasing report The report begins overview Industry Chain structure, describes industry environment, analyses market size forecast AI Surveillance Security product, region application, addition, report introduces market competition situation vendors company profile, besides, market price analysis value chain features covered report. Key Benefit AI Surveillance Security Report: Identification detailed analysis key market dynamics, as, drivers, restraints, opportunities, challenges influencing growth market Analysis key players strategic initiatives competitive developments, joint ventures, mergers, new product launches market Detailed analysis industry outlook market specific, supply chain better understand market build expansion strategies Global, regional, country, types, application market size forecast Identification key market players comprehensively analyze market share core skills, key products, detailed financial positions, unique selling points Expert discussions insights market change, current future outlook, factors impacting vendors short term long term strategies Detailed insights emerging regions, types, application qualitative quantitative information facts Key questions answered report: What market growth rate AI Surveillance Security 2025? What key factors driving global AI Surveillance Security? Who key manufacturers AI Surveillance Security space? What market opportunities, market risk market overview AI Surveillance Security? What sales, revenue, price analysis manufacturers AI Surveillance Security? Who distributors, traders dealers AI Surveillance Security? What AI Surveillance Security opportunities threats faced vendors global AI Surveillance Security industry? What sales, revenue, price analysis types applications AI Surveillance Security? What sales, revenue, price analysis regions AI Surveillance Security industry? AI Surveillance Security report focuses global major leading industry players Global AI Surveillance Security industry providing information cost, company profiles, product picture specification, price, capacity, production, revenue contact information. Upstream raw materials equipment downstream demand analysis carried out. With tables figures helping analyze worldwide Global AI Surveillance Security, research provides key statistics state industry valuable source guidance direction companies individuals interested market. The Global AI Surveillance Security development trends marketing channels analyzed report. Finally, feasibility new investment projects assessed overall research conclusions offered. Main Aspects covered Report Overview AI Surveillance Security including production, consumption, status forecast market growth. 20152019 historical data 2020 2025 market forecast. Geographical analysis including major countries. Overview product type market including development. Overview enduser market including development. AI Surveillance Security forecast 2025 report study covers global regional market indepth analysis overall growth prospects market. Furthermore, sheds light comprehensive competitive landscape global market. The report offers dashboard overview leading companies encompassing successful marketing strategies, market contribution, recent developments historic present contexts. The AI Surveillance Security report provides detailed evaluation market highlighting information different aspects include drivers, restraints, opportunities, threats. This information help stakeholders appropriate decisions investing. Research objectives: To understand structure AI Surveillance Security identifying subsegments. Focuses key global AI Surveillance Security manufacturers, define, analyze sales volume, value, market share, market competition landscape, SWOT analysis development plans years. To analyze AI Surveillance Security respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project consumption AI Surveillance Security submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Purchase report : In end, AI Surveillance Security report provides details competitive developments expansions, agreements, new product launches, acquisitions market forecasting, regional demand supply factor, investment, market dynamics including technical scenario, consumer behaviour, end use industry trends dynamics, capacity, spending taken consideration. Detailed TOC Global CategoryAnalysis Forecast Headlines Market Reports Antiarrhythmic Drugs Market Checkout Unexpected Future 2027 Key Players: Pfizer, Novartis, Merck, etc. Steam Turbine MRO Market Booming Demand Leading Exponential CAGR Growth 2027 MarketExpertz.Com Recent Posts Gas Circuit Breaker Market Worldwide Growth Survey 2025 Global Uranium Market Insights 20192025 Sinosteel, CNNC, Sinohydro, Jinduicheng Molybdenum, JiangXi Copper Corporation Global Urea Ammonium Nitrate UAN Market Insights 20192025 Bunge Limited, Nutrien Agrium PotashCorp, Yara International ASA, Eurochem Group AG, CF Industries Holdings . 20202025 Global Regional NVinyl2Pyrrolidone Industry Production, Sales Consumption Status Prospects Professional Market Research Report Global Urea Formaldehyde UF Resin Market Insights 20192025 GP Chemicals, Hexion, ARCL, BASF, NaftaLendava Visual Analytics Market 2020 Current Scope, Solutions, Demand, Platforms, Substantial Growth, Key Players Analysis Market Segmentation till 2025 Global Urea Formaldehyde Resin Market Insights 20192025 Hexion, Advachem, Metadynea, Allnex, Dynea Global Urea Market Insights 20192025 BASF Corporation, BIP Oldbury Limited, Chemiplastica, Jiangsu Sanmu Group Corporation Global Urea Phosphate Market Insights 20192025 Haifa, SQM, Evergrow, Zuari Agro, ISHITA Global UreaFormaldehyde Market Insights 20192025 BASF, DuPont, SABIC, The Dow Chemical, Eastman Chemical Proudly powered WordPress Theme: Envo Magazine
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Global Endoscope Cleaning Swab Market 2020 Top Manufactures – Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products – Galus Australis
Global Endoscope Cleaning Swab Market 2020 Top Manufactures – Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products – Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle Sci-Tech Thursday, October 8 2020 Trending Global Anti-shock Trousers Market 2020 Top Manufactures – Allied Healthcare Products, Attucho, Oscar Boscarol, Spencer Italia, Cir Medical Global Video Colonoscope Market 2020 Top Manufactures – Ana-Med, Karl Storz, EndoChoice, Huger Endoscopy Instrument, Olympus, EndoMed Systems Global Video Otoscope Market 2020 Top Manufactures – Sonova, IDCP MedTech, Grason-Stadler, AMD Global Telemedicine, Apple BioMedical Global Endoscope Cleaning Swab Market 2020 Top Manufactures – Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products Global Art Supplies Market 2020 Top Manufactures – Winsor & Newton, Anhui Zhongsheng, Schmincke, Daniel Smith Global Oil Colour Market 2020 Top Manufactures – Winsor & Newton, Anhui Zhongsheng, Schmincke, Daniel Smith Global Water Colour Market 2020 Top Manufactures – Winsor & Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Acrylic Colour Market 2020 Top Manufactures – Winsor & Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Fine Art Paints Market 2020 Top Manufactures – Winsor & Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Cotton Canvas Boards and Panels Market 2020 Top Manufactures – Phoenix Arts Group, Jinan Danqing Industrial, YINYING SPORT & STATIONERY Contact Us Home/Business/Global Endoscope Cleaning Swab Market 2020 Top Manufactures – Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products Business Global Endoscope Cleaning Swab Market 2020 Top Manufactures – Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products david October 8, 2020 The latest report namely Global Endoscope Cleaning Swab Market Growth 2020-2025 has been released with trustworthy information and detailed forecasts for a better understanding of the present market scenario. The report clarifies the assessment of the current market together with subtleties of the division. The report offers an in-depth analysis of the global Endoscope Cleaning Swab market, including qualitative insights, historical data, and verifiable projections about the market size and share. It lists the leading competitors and highlights the insights strategic industry analysis of the key factors influencing the market. All segments are studied on the basis of different factors such as market share, consumption, revenue, and growth rate. The study evaluates the growth rate and revenue, in terms of demand and supply, cost structure, barriers and challenges, product type, key market players, regions, and applications. NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19. DOWNLOAD FREE SAMPLE REPORT: https://www.marketandresearch.biz/sample-request/140279  Major Business Players Among Trade Space: The report comprises an extensive analysis of the competitive landscape of the Endoscope Cleaning Swab market. Additionally, production, revenue, growth, and average price shares by manufacturer, market by capacity, production and share by manufacturers, market share of top manufacturers, manufacturers manufacturing base distribution, sales area, market competitive situation, and trends are also provided. The report offers information on competitive situations and the latest trends including merger and acquisition and expansion, market shares of the top players. Some of the major market players operating in the market:  Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products, Laboratories Anios, COOK Medical, Steris, Olympus, Jiangsu Kangjin Medical Instrument, Wassenburg Medical,  What Does The Global Endoscope Cleaning Swab Market Research Hold For The Readers? One by one company profile of key vendors. Evaluation of supply-demand ratio in every end-use industry Regional analysis on the basis of market share, growth outlook, and key countries Positive and negative aspects are associated with the consumption of Endoscope Cleaning Swab. A well-defined technological growth map with an impact-analysis Pin-point analyses of market competition dynamics to offer you a competitive edge ACCESS FULL REPORT: https://www.marketandresearch.biz/report/140279/global-endoscope-cleaning-swab-market-growth-2020-2025  Geographical Distribution: The geographical division offers data that gives you an idea of the revenue of the global companies and sales figures of the growth Endoscope Cleaning Swab Market. Here are highlights of the Geographical divisions: Americas (United States, Canada, Mexico, Brazil), APAC (China, Japan, Korea, Southeast Asia, India, Australia), Europe (Germany, France, UK, Italy, Russia), Middle East & Africa (Egypt, South Africa, Israel, Turkey, GCC Countries) This report segments the global market based on type:  Single Ended Brush, Double Ended Brush,  Based on the application, the global market is categorized as follows: Hospitals, Ambulatory Surgery Centers, Other The research study helps businesses lining up themselves with the latest market trends and sentiments by underlying the essential priorities and major concerns of the industry. It serves to adjust investment allocation by outlining key focus areas highlighted by survey respondents from 2015 to 2020. The presented study covers the numerous applications of the Endoscope Cleaning Swab and offers a fair assessment of the supply-demand ratio of each application. Contact Us Mark Stone Head of Business Development Phone: +1-201-465-4211 Email: [email protected] Web: www.marketandresearch.biz Other Related Reports: Global Sodium Tripolyphosphate Market 2020 Growth Factors, Product Overview, Segmentation and Forecast Study to 2025 Global Zirconium Oxide Market 2020 Strategic Market Growth, Key Manufacturers and Industry Demand Analysis to 2025 Global Thebaine Market 2020 Growth Drivers, Regional Outlook, Competitive Strategies and Forecast up to 2025 Global Trimmers Variable Capacitors Market 2020 Development Analysis, Strategic Outlook, Growth Rate and Forecast to 2025 Global Air Filters Market 2020 Key Dynamics, Recent and Future Demand, Trend, Analysis upto 2025 Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print david Related Articles October 7, 2020 5 Global Beetroot Powder Market to Witness High Growth, Dynamics, Production, Demand Analysis and Forecast 2020-2025 August 17, 2020 8 Global Vision Screeners Market 2020 with (Covid-19) Impact Analysis: Growth, Latest Trend Analysis and Forecast 2026 September 3, 2020 5 Global CPAP Cleaner Market 2020 with COVID-19 Scenario | SoClean, Sani Bot, 3B Medical, Solid Inc April 10, 2020 4 Global Hair Mousse Market 2020 Worldwide Industry Analysis by Top Leading Player, Key Regions, Future Demand and Forecast upto 2026 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Global Endoscope Cleaning Swab Market 2020 Top Manufactures
Global Endoscope Cleaning Swab Market 2020 Top Manufactures Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle SciTech Thursday, October 8 2020 Trending Global Antishock Trousers Market 2020 Top Manufactures Allied Healthcare Products, Attucho, Oscar Boscarol, Spencer Italia, Cir Medical Global Video Colonoscope Market 2020 Top Manufactures AnaMed, Karl Storz, EndoChoice, Huger Endoscopy Instrument, Olympus, EndoMed Systems Global Video Otoscope Market 2020 Top Manufactures Sonova, IDCP MedTech, GrasonStadler, AMD Global Telemedicine, Apple BioMedical Global Endoscope Cleaning Swab Market 2020 Top Manufactures Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products Global Art Supplies Market 2020 Top Manufactures Winsor Newton, Anhui Zhongsheng, Schmincke, Daniel Smith Global Oil Colour Market 2020 Top Manufactures Winsor Newton, Anhui Zhongsheng, Schmincke, Daniel Smith Global Water Colour Market 2020 Top Manufactures Winsor Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Acrylic Colour Market 2020 Top Manufactures Winsor Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Fine Art Paints Market 2020 Top Manufactures Winsor Newton, Anhui Zhongsheng, Schmincke, Daniel Smith, Shanghai SIIC Marie Painting Materials Global Cotton Canvas Boards Panels Market 2020 Top Manufactures Phoenix Arts Group, Jinan Danqing Industrial, YINYING SPORT STATIONERY Us HomeBusinessGlobal Endoscope Cleaning Swab Market 2020 Top Manufactures Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products Business Global Endoscope Cleaning Swab Market 2020 Top Manufactures Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products david October 8, 2020 The latest report namelyGlobalEndoscope Cleaning SwabMarket Growth 20202025has released trustworthy information detailed forecasts better understanding present market scenario. The report clarifies assessment current market subtleties division. The report offers indepth analysis globalEndoscope Cleaning Swabmarket, including qualitative insights, historical data, verifiable projections market size share. It lists leading competitors highlights insights strategic industry analysis key factors influencing market. All segments studied basis different factors market share, consumption, revenue, growth rate. The study evaluates growth rate revenue, terms demand supply, cost structure, barriers challenges, product type, key market players, regions, applications. NOTE: Our report highlights major issues hazards companies come unprecedented outbreak COVID19. DOWNLOAD FREE SAMPLE REPORT: Major Business Players Among Trade Space: The report comprises extensive analysis competitive landscape theEndoscope Cleaning Swabmarket. Additionally, production, revenue, growth, average price shares manufacturer, market capacity, production share manufacturers, market share manufacturers, manufacturers manufacturing base distribution, sales area, market competitive situation, trends provided. The report offers information competitive situations latest trends including merger acquisition expansion, market shares players. Some major market players operating market: Bard Access Systems, US Endoscopy, Cantel Medical, Advanced Sterilization Products, Laboratories Anios, COOK Medical, Steris, Olympus, Jiangsu Kangjin Medical Instrument, Wassenburg Medical, What Does The GlobalEndoscope Cleaning SwabMarket Research Hold For The Readers? One company profile key vendors. Evaluation supplydemand ratio enduse industry Regional analysis basis market share, growth outlook, key countries Positive negative aspects associated consumption ofEndoscope Cleaning Swab. A welldefined technological growth map impactanalysis Pinpoint analyses market competition dynamics offer competitive edge ACCESS FULL REPORT: Geographical Distribution: The geographical division offers data gives idea revenue global companies sales figures growthEndoscope Cleaning SwabMarket. Here highlights Geographical divisions:Americas United States, Canada, Mexico, Brazil, APAC China, Japan, Korea, Southeast Asia, India, Australia, Europe Germany, France, UK, Italy, Russia, Middle East Africa Egypt, South Africa, Israel, Turkey, GCC Countries This report segments global market based type: Single Ended Brush, Double Ended Brush, Based application, global market categorized follows:Hospitals, Ambulatory Surgery Centers, Other The research study helps businesses lining latest market trends sentiments underlying essential priorities major concerns industry. It serves adjust investment allocation outlining key focus areas highlighted survey respondents 2015 2020. The presented study covers numerous applications theEndoscope Cleaning Swaband offers fair assessment supplydemand ratio application. Us Mark Stone Head Business Development Phone:12014654211 Email:[emailprotected] Web: Other Related Reports: Global Sodium Tripolyphosphate Market 2020 Growth Factors, Product Overview, Segmentation Forecast Study 2025 Global Zirconium Oxide Market 2020 Strategic Market Growth, Key Manufacturers Industry Demand Analysis 2025 Global Thebaine Market 2020 Growth Drivers, Regional Outlook, Competitive Strategies Forecast 2025 Global Trimmers Variable Capacitors Market 2020 Development Analysis, Strategic Outlook, Growth Rate Forecast 2025 Global Air Filters Market 2020 Key Dynamics, Recent Future Demand, Trend, Analysis upto 2025 Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print david Related Articles October 7, 2020 5 Global Beetroot Powder Market Witness High Growth, Dynamics, Production, Demand Analysis Forecast 20202025 August 17, 2020 8 Global Vision Screeners Market 2020 Covid19 Impact Analysis: Growth, Latest Trend Analysis Forecast 2026 September 3, 2020 5 Global CPAP Cleaner Market 2020 COVID19 Scenario SoClean, Sani Bot, 3B Medical, Solid April 10, 2020 4 Global Hair Mousse Market 2020 Worldwide Industry Analysis Top Leading Player, Key Regions, Future Demand Forecast upto 2026 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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344
http://www.ncnonline.net/hot-news/dell-technologies-launches-new-era-of-pcs-and-displays-with-5g-ai-and-premium-design-for-work-and-play.html
2020-01-03T00:00:00
en
Dell Technologies Launches New Era of PCs and Displays with 5G, AI and Premium Design for Work and Play - NCNONLINE
Dell Technologies Launches New Era of PCs and Displays with 5G, AI and Premium Design for Work and Play - NCNONLINE News In Brief Interview Guest Column Hot Product NSS Networking Storage Security Product Review Special Story AV IoT Gaming Events Computex Taitra Search Friday, January 3, 2020 HOME About Us NSS-More Contact Us LOG IN Welcome! Log into your account Forgot your password? Recover your password NCNONLINE News In Brief Interview Guest Column Hot Product NSS Networking Storage Security Product Review Special Story AV IoT Gaming Events Computex Taitra Home Hot News Dell Technologies Launches New Era of PCs and Displays with 5G, AI... Hot NewsNews In Brief Dell Technologies Launches New Era of PCs and Displays with 5G, AI and Premium Design for Work and Play By NCN News Network - January 3, 2020 79 0 SHARE Facebook Twitter Dell Technologies unveiled new products and software across its premium Latitude, XPS and displays portfolios to help people innovate, collaborate and accomplish more in the next decade. Featuring artificial intelligence (AI), 5G and innovative design, the latest Dell Technologies’ PCs and displays make work and play more seamless, intelligent and enjoyable. “The PC industry has never been more vibrant with built-in AI, 5G and the best design we’ve ever seen, all to help make our lives easier and more fulfilled,” said Sam Burd, president of Dell Client Solutions Group. “What’s exciting to me is that, with all of the cool news we’ll see come out of CES next week, the PC plays a central role in helping people innovate, influence and achieve more.” “PC users have become increasingly savvy about the devices they choose for work and play, gravitating toward more premium products that emphasize good design, strong performance and intuitive technologies,” said Tom Mainelli, group vice president, Devices and Consumer, IDC. “Our research shows an increasing percentage of new employees are choosing jobs based on the devices employers offer, and both IT buyers and consumers are interested in PCs with next-generation display, connectivity and battery technologies.” Dell also introduced the Latitude 9000 series, designed with the finest details in mind to be smaller and thinner than ever before, with a larger display and a superior experience. The new Latitude 9510 delivers what business users seek: the longest battery life of any 15-inch business PC with a target of up to 30 hours2, 5G-ready design3, powerful audio features and intelligent solutions that increase productivity. The Latitude 9510 is the world’s smallest and lightest commercial 15-inch PC, easily fitting into a small work bag. Starting at only 3.2 pounds5, professionals can travel light without carrying the extra weight of battery chargers, adapters or speakerphone pucks needed for a work day. The large screen size, along with Intel® Wi-Fi 6 (Gig+) and 5G mobile broadband capabilities, allow executives to be more productive wherever they need. The design incorporates 5G antennas into the speakers to retain the InfinityEdge display, while carbon blade fans and dual heat pipes offer a quiet and cool-to-the-touch experience. Launching with up to the latest 10th Gen Intel Core i7 processors, the vPro ready Latitude 9510 features a machined-aluminum finish with diamond cut edges for professionals that want performance with style. As the world’s most intelligent 15-inch business PC, the Latitude 9510 leads the commercial PC industry with the first built-in and automated AI-based optimization technology. The new Dell Optimizer software works behind the scenes to help reduce lags, delays and frustration: SHARE Facebook Twitter tweet Previous articleSAP Labs India tops JobBuzz 2019 Annual ‘Best New-Age Employers’ NCN News Networkhttp://ncnonline.net/ RELATED ARTICLESMORE FROM AUTHOR Hot News SAP Labs India tops JobBuzz 2019 Annual ‘Best New-Age Employers’ Hot News How to streamline file sharing for multi-site businesses: Synology Hot News STMicroelectronics Adds Support for LoRaWAN Firmware Update Over The Air in the STM32Cube Ecosystem MAGAZINE IN FOCUS " Best Way to Reach IT SInce 1999." Advertisement Contact Us © 2020 Roy Mediative . All Rights Reserved
Dell Technologies Launches New Era of PCs and Displays with 5G, AI and Premium Design for Work and Play
Dell Technologies Launches New Era PCs Displays 5G, AI Premium Design Work Play NCNONLINE News In Brief Interview Guest Column Hot Product NSS Networking Storage Security Product Review Special Story AV IoT Gaming Events Computex Taitra Friday, January 3, 2020 HOME NSSMore Us LOG IN Welcome Log account Forgot password? Recover password NCNONLINE News In Brief Interview Guest Column Hot Product NSS Networking Storage Security Product Review Special Story AV IoT Gaming Events Computex Taitra Home Hot News Dell Technologies Launches New Era PCs Displays 5G, AI... Hot NewsNews In Brief Dell Technologies Launches New Era PCs Displays 5G, AI Premium Design Work Play By NCN News Network January 3, 2020 79 0 SHARE Facebook Twitter Dell Technologies unveiled new products software premium Latitude, XPS displays portfolios help people innovate, collaborate accomplish decade. Featuring artificial intelligence AI, 5G innovative design, latest Dell Technologies PCs displays work play seamless, intelligent enjoyable. The PC industry vibrant builtin AI, 5G best design weve seen, help lives easier fulfilled, said Sam Burd, president Dell Client Solutions Group. Whats exciting that, cool news come CES week, PC plays central role helping people innovate, influence achieve more. PC users increasingly savvy devices choose work play, gravitating premium products emphasize good design, strong performance intuitive technologies, said Tom Mainelli, group vice president, Devices Consumer, IDC. Our research shows increasing percentage new employees choosing jobs based devices employers offer, IT buyers consumers interested PCs nextgeneration display, connectivity battery technologies. Dell introduced Latitude 9000 series, designed finest details mind smaller thinner before, larger display superior experience. The new Latitude 9510 delivers business users seek: longest battery life 15inch business PC target 30 hours2, 5Gready design3, powerful audio features intelligent solutions increase productivity. The Latitude 9510 worlds smallest lightest commercial 15inch PC, easily fitting small work bag. Starting 3.2 pounds5, professionals travel light carrying extra weight battery chargers, adapters speakerphone pucks needed work day. The large screen size, Intel WiFi 6 Gig 5G mobile broadband capabilities, allow executives productive need. The design incorporates 5G antennas speakers retain InfinityEdge display, carbon blade fans dual heat pipes offer quiet cooltothetouch experience. Launching latest 10th Gen Intel Core i7 processors, vPro ready Latitude 9510 features machinedaluminum finish diamond cut edges professionals want performance style. As worlds intelligent 15inch business PC, Latitude 9510 leads commercial PC industry builtin automated AIbased optimization technology. The new Dell Optimizer software works scenes help reduce lags, delays frustration: SHARE Facebook Twitter tweet Previous articleSAP Labs India tops JobBuzz 2019 Annual Best NewAge Employers NCN News Network RELATED ARTICLESMORE FROM AUTHOR Hot News SAP Labs India tops JobBuzz 2019 Annual Best NewAge Employers Hot News How streamline file sharing multisite businesses: Synology Hot News STMicroelectronics Adds Support LoRaWAN Firmware Update Over The Air STM32Cube Ecosystem MAGAZINE IN FOCUS Best Way Reach IT Se 1999. Advertisement Us 2020 Roy Mediative .
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https://www.ejiltalk.org/announcements-cfa-artificial-intelligence-and-normative-challenges-human-rights-lawyers-association-event-uks-role-in-yemen-cfc-european-human-rights-law-review-un-audiovisual-l/
2020-11-14T00:00:00
en
Announcements: CfA Artificial Intelligence and Normative Challenges; Human Rights Lawyers’ Association Event – UK’s Role in Yemen & Arms Sales; CfC European Human Rights Law Review; UN Audiovisual Library of International Law; Roadmap to the ASEAN-EU FTA in the Post-Pandemic Era – EJIL: Talk!
Announcements: CfA Artificial Intelligence and Normative Challenges; Human Rights Lawyers’ Association Event – UK’s Role in Yemen & Arms Sales; CfC European Human Rights Law Review; UN Audiovisual Library of International Law; Roadmap to the ASEAN-EU FTA in the Post-Pandemic Era – EJIL: Talk!
Announcements: CfA Artificial Intelligence and Normative Challenges; Human Rights Lawyers’ Association Event
Announcements: CfA Artificial Intelligence Normative Challenges; Human Rights Lawyers Association Event UKs Role Yemen Arms Sales; CfC European Human Rights Law Review; UN Audiovisual Library International Law; Roadmap ASEANEU FTA PostPandemic Era EJIL: Talk
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https://www.asiaresearchnews.com/content/supercomputers-give-ite-boost-its-applied-artificial-intelligence-projects?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A%20Researchsea-AsiaResearchNews%20%28ResearchSEA%20-%20Asia%20Research%20News%29
2020-10-06T00:00:00
en
Supercomputers to Give ITE a Boost in its Applied Artificial Intelligence Projects | Asia Research News
Supercomputers to Give ITE a Boost in its Applied Artificial Intelligence Projects | Asia Research News Skip to main content Join Login Search form Search Home Newsroom Magazine Events Researchers Institutions Careers Services About Search Home Newsroom Magazine Events Researchers Institutions Careers Services About Supercomputers to Give ITE a Boost in its Applied Artificial Intelligence Projects ITE to leverage the power of high performance computing (HPC) for use in applied AI projects, workshops and training, and HPC-related student competitions in ITE-NSCC Singapore collaboration. NSCC Screenshot.jpg Singapore, 2 October 2020 – ITE will have access to National Supercomputing Centre (NSCC) Singapore’s supercomputing resources. This is agreed in the Memorandum of Understanding (MOU) signed between the two organisations in a virtual ceremony on 2 October 2020. The HPC technology is a significant  boost to ITE’s artificial intelligence (AI) projects, pedagogy and training. “Our partnership with NSCC plays a crucial role in enhancing the technological capabilities of ITE’s teaching and training programmes. The staff can leverage high computing power to experiment and innovate while the students will have access to this super computing for their learning and projects,” said Ms Low Khah Gek, Chief Executive Officer, ITE. Examples of ITE’s innovations for pedagogy and assessment are: In-Class Video Analytics of Students to analyse emotions and non-verbal cues of students and provide a sentiment scoring matrix for lecturers to identify topics that are well-received by students and areas of lesson delivery that need improvement; and  Video Analytics and AI-enabled Assessment of Practical Skills to assess students as they don smart-glasses and perform timed practical tasks such as servicing or operating machinery and equipment. “With the supercomputers, speed, ease of use, accuracy and productivity of such AI-related innovations would be greatly improved,” added Ms Low. “HPC will play a key role in the development of smart nation innovations as digitalisation accelerates and a greater number of complex technological applications come online,” said Associate Professor Tan Tin Wee, Chief Executive of NSCC. “Apart from providing local researchers with easy access to national supercomputing resources and capabilities to create new smart nation innovations, it is equally important to get our youth started early on HPC to nurture the next generation of data scientists, genomics researchers, advanced manufacturing technologists and AI scientists.” ITE and NSCC will also explore co-organising HPC workshops for students and student competitions in areas like AI applications. Chinese Translations Institute of Technical Education (ITE) - 新加坡工艺教育局 National Supercomputing Centre (NSCC) Singapore - 新加坡超级计算中心 For further information, contact: Ms Karen SumHead/PublicationsCorporate Affairs & Development DivisionInstitute of Technical Education(+65) 9875 1132[email protected] Mr Eugene LowMarketing & EngagementsNational Supercomputing Centre (NSCC) Singapore(+65) 9230 9235[email protected] About Institute of Technical Education (ITE) The Institute of Technical Education (ITE) was established as a post-secondary institution in 1992, under the Ministry of Education. ITE is a principal provider of career and technical education and a key developer of national skills certification and standards, skilling Singapore for the future economy. It offers three key programmes: Pre-Employment Training for youths after secondary education, Continuing Education and Training for adult learners, and Industry-Based and Work-Study Programmes with employers. Under its 'One ITE System, Three Colleges' Governance Model, ITE has three Colleges - ITE College Central, ITE College East and ITE College West, each empowered to develop their own niches of excellence to enhance students’ success and the attractiveness of an ITE Education. For more information, visit www.ite.edu.sg. About the National Supercomputing Centre (NSCC) Singapore The National Supercomputing Centre (NSCC) Singapore was established in 2015 and manages Singapore’s first national petascale facility with available high performance computing (HPC) resources. As a National Research Infrastructure funded by the National Research Foundation (NRF), we support the HPC research needs of the public and private sectors, including research institutes, institutes of higher learning, government agencies and companies. With the support of its stakeholders, including Agency for Science Technology and Research (A*STAR), Nanyang Technological University (NTU), National University of Singapore (NUS), Singapore University of Technology and Design (SUTD), National Environment Agency (NEA) and Technology Centre for Offshore and Marine, Singapore (TCOMS), NSCC catalyses national research and development initiatives, attracts industrial research collaborations and enhances Singapore’s research capabilities. For more information, visit www.nscc.sg. Published: 05 Oct 2020 Institution: National Supercomputing Centre (NSCC) Singapore Contact details: Mr Eugene Low 1, Fusionopolis Way, #17-01, Connexis South Tower Singapore 138632 [email protected] News topics: Artificial Intelligence Academic discipline: Artificial intelligence Content type: Announcement Websites: National Supercomputing Centre (NSCC) SingaporeThe Institute of Technical Education (ITE) Related news AI taught to rapidly assess disaster damage so humans know where help is needed most Hiroshima University AI And Robotics In Hospital And Healthcare Conference: Redefining Patient Care With AI in the Age of COVID-19 Asia Research News Partnerships New AI Approach by CUHK Engineering Investigates Multiple Gene Regulatory Mechanisms Concurrently For the Advancement of Biomedical Research The Chinese University of Hong Kong (CUHK) EmTech Asia examines emerging technologies and innovations during a pandemic Asia Research News Partnerships IBM Watson helps deliver fast and trusted information on COVID-19 for the UN SDSN Youth Philippines’ interactive dashboard UN Sustainable Development Solutions Network - Youth Philippines Show all Artificial Intelligence press releases Share Share on FacebookShare on LinkedInShare on Twitter Get the news in your inbox Subscriptions Daily Updates Weekly Updates Monthly Editor's Choice Subscribe Join Contact Terms of website use Help Premium membership Services RSS Bringing discovery to light © 2004 - 2020 Asia Research News
Supercomputers to Give ITE a Boost in its Applied Artificial Intelligence Projects
Supercomputers Give ITE Boost Applied Artificial Intelligence Projects Asia Research News Skip main content Join form Home Newsroom Magazine Events Researchers Institutions Careers Services About Home Newsroom Magazine Events Researchers Institutions Careers Services About Supercomputers Give ITE Boost Applied Artificial Intelligence Projects ITE leverage power high performance computing HPC use applied AI projects, workshops training, HPCrelated student competitions ITENSCC Singapore collaboration. NSCC Screenshot.jpg Singapore, 2 October 2020 ITE access National Supercomputing Centre NSCC Singapores supercomputing resources. This agreed Memorandum Understanding MOU signed organisations virtual ceremony 2 October 2020. The HPC technology significant boost ITEs artificial intelligence AI projects, pedagogy training. Our partnership NSCC plays crucial role enhancing technological capabilities ITEs teaching training programmes. The staff leverage high computing power experiment innovate students access super computing learning projects, said Ms Low Khah Gek, Chief Executive Officer, ITE. Examples ITEs innovations pedagogy assessment are: InClass Video Analytics Students analyse emotions nonverbal cues students provide sentiment scoring matrix lecturers identify topics wellreceived students areas lesson delivery need improvement; Video Analytics AIenabled Assessment Practical Skills assess students smartglasses perform timed practical tasks servicing operating machinery equipment. With supercomputers, speed, ease use, accuracy productivity AIrelated innovations greatly improved, added Ms Low. HPC play key role development smart nation innovations digitalisation accelerates greater number complex technological applications come online, said Associate Professor Tan Tin Wee, Chief Executive NSCC. Apart providing local researchers easy access national supercomputing resources capabilities create new smart nation innovations, equally important youth started early HPC nurture generation data scientists, genomics researchers, advanced manufacturing technologists AI scientists. ITE NSCC explore coorganising HPC workshops students student competitions areas like AI applications. Chinese Translations Institute Technical Education ITE National Supercomputing Centre NSCC Singapore For information, contact: Ms Karen SumHeadPublicationsCorporate Affairs Development DivisionInstitute Technical Education65 9875 1132[emailprotected] Mr Eugene LowMarketing EngagementsNational Supercomputing Centre NSCC Singapore65 9230 9235[emailprotected] About Institute Technical Education ITE The Institute Technical Education ITE established postsecondary institution 1992, Ministry Education. ITE principal provider career technical education key developer national skills certification standards, skilling Singapore future economy. It offers key programmes: PreEmployment Training youths secondary education, Continuing Education Training adult learners, IndustryBased WorkStudy Programmes employers. Under One ITE System, Three Colleges Governance Model, ITE Colleges ITE College Central, ITE College East ITE College West, empowered develop niches excellence enhance students success attractiveness ITE Education. For information, visit About National Supercomputing Centre NSCC Singapore The National Supercomputing Centre NSCC Singapore established 2015 manages Singapores national petascale facility available high performance computing HPC resources. As National Research Infrastructure funded National Research Foundation NRF, support HPC research needs public private sectors, including research institutes, institutes higher learning, government agencies companies. With support stakeholders, including Agency Science Technology Research ASTAR, Nanyang Technological University NTU, National University Singapore NUS, Singapore University Technology Design SUTD, National Environment Agency NEA Technology Centre Offshore Marine, Singapore TCOMS, NSCC catalyses national research development initiatives, attracts industrial research collaborations enhances Singapores research capabilities. For information, visit Published:05 Oct 2020 Institution: National Supercomputing Centre NSCC Singapore details: Mr Eugene Low 1, Fusionopolis Way, 1701, Connexis South Tower Singapore 138632 [emailprotected] News topics:Artificial Intelligence Academic discipline:Artificial intelligence Content type:Announcement Websites:National Supercomputing Centre NSCC SingaporeThe Institute Technical Education ITE Related news AI taught rapidly assess disaster damage humans know help needed Hiroshima University AI And Robotics In Hospital And Healthcare Conference: Redefining Patient Care With AI Age COVID19 Asia Research News Partnerships New AI Approach CUHK Engineering Investigates Multiple Gene Regulatory Mechanisms Concurrently For Advancement Biomedical Research The Chinese University Hong Kong CUHK EmTech Asia examines emerging technologies innovations pandemic Asia Research News Partnerships IBM Watson helps deliver fast trusted information COVID19 UN SDSN Youth Philippines interactive dashboard UN Sustainable Development Solutions Network Youth Philippines Show Artificial Intelligence press releases Share Share FacebookShare LinkedInShare Twitter Get news inbox Subscriptions Daily Updates Weekly Updates Monthly Editors Choice Join Terms website use Help Premium membership Services RSS Bringing discovery light 2004 2020 Asia Research News
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https://illadelink.com/machine-learning-in-retail-market-offered-in-new-research-forecasted-through-2024-ibm-microsoft-amazon-web-services/
2020-11-18T00:00:00
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Machine Learning in Retail Market Offered in New Research Forecasted through 2024 : IBM, Microsoft, Amazon Web Services – Illadel Graff Supply
Machine Learning in Retail Market Offered in New Research Forecasted through 2024 : IBM, Microsoft, Amazon Web Services – Illadel Graff Supply Wednesday, November 18 2020 Breaking News Global Oral Cancer Treatment Industry Increasing Need for Higher Productivity to Boost Market Growth 2020-2026 | Bristol-Myers Squibb, Qilu Pharmaceutical Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 Cloud Gaming Market Competitive Landscape and Growth Opportunity | IBM Corporation, Blade, Blacknut, PAPERSPACE, RemoteMyApp Distributed Antenna System (Das) Market Opportunity And Competitive Landscape Forecast | Comba Telecom Systems Holdings Ltd., SOLiD, ATC IP LLC, AT&T, Boingo Wireless Global Ophthalmic Sutures Industry Insights & Opportunity Evaluation, 2020-2026 | Accutome, Alcon Inc., Assut Medical, Aurolab, B. Braun Melsungen AG, DemeTECH Corporation Global Ophthalmic Knife Industry Insights & Opportunity Evaluation, 2020-2026 | Sidapharm, LUTZ BLADES, MANI, Alcon, Inc., Beaver-Visitec International, Inc. (BVI), Diamatrix, KAI Group Cloud Computing Data Center IT Asset Disposition Market Research Study by 2027 | Tes-Amm, Blancco, AMI, DIGITAL REALTY, etc Public Interior Design Market to Set Phenomenal Growth Rate and Forecast Analysis 2025 | Big Market Research Global Onychomycosis Market Latest Trend Analysis, Progression Status, Revenue Expectation to 2026 | Abbott Laboratories, Glaxosmithkline, Pfizer, Bausch Health, Galderma, Janssen Biotech Product Lifecycle Management Market Worldwide Industry Size, Key Vendors, Growth Drivers | Oracle, Hewlett-Packard Company, Atos SE, Accenture., Arena Solutions Sidebar Random Article Log In Menu Illadel Graff Supply Search for Business Health Science Technology World Contact / Publish PRs Search for Home/Technology/Machine Learning in Retail Market Offered in New Research Forecasted through 2024 : IBM, Microsoft, Amazon Web Services Technology Machine Learning in Retail Market Offered in New Research Forecasted through 2024 : IBM, Microsoft, Amazon Web Services chetanNovember 18, 2020 A new report added by Big Market Research claims that the global Machine Learning in Retail market growth is set to reach newer heights during the forecast period 2014-2024. It has been carried out to compile the market report of the Machine Learning in Retail market The report is an exhaustive analysis of this market across the world. It offers an overview of the market including its definition, applications, key drivers, key market players, key segments, and manufacturing technology. In addition, the study presents statistical data on the status of the market and hence is a valuable source of guidance for companies and individuals interested in the industry. Additionally, detailed insights on the company profile, product specifications, capacity, production value, and market shares for key vendors are presented in the report. Get a copy of this report:  https://www.bigmarketresearch.com/request-sample/3773576?utm_source=SHASHI&utm_medium=IDL The total market is further segmented based on company, country, and application/type for competitive landscape analysis. On the contrary, information on industry chain structure, emerging applications, and technological developments in the market makes the report a must-read document. These insights help determine the strength of competition and take the necessary steps to obtain a leading position in the “Machine Learning in Retail.” industry. Additionally, the research provides a detailed analysis of the key segments of the market with the help of charts and tables. An overview of each market segment such as type, application, and region are also provided in the report. These insights help in understanding the global trends in the “Machine Learning in Retail.” industry and form strategies to be implemented in the future. The market across various regions is analyzed in the report, including North America, Europe, Asia-Pacific, and LAMEA. The report manifests the growth trends and future opportunities in every region. Additionally, the research provides a list of leading market players active in the “Machine Learning in Retail.” industry. KEY MARKET SEGMENTS Market Segment by Manufacturers, this report covers:  IBM, Microsoft, Amazon Web Services, Oracle, SAP, Intel, NVIDIA, Google, Sentient Technologies, Salesforce, ViSenze By Product:  Cloud Based On-Premises By Application:  Online Offline The study clearly reveals that the “Machine Learning in Retail.” industry has attained remarkable growth since 2024. This research report is prepared based on an in-depth analysis of the market by experts. As a final point, stakeholders, investors, product managers, marketing executives, and other professionals seeking unbiased data on supply, demand, and future forecasts would find the report valuable. Key questions answered in the Machine Learning in Retail report: What will be the size of the market in 2025 and what will be the growth rate? What are the key trends in the Machine Learning in Retail market? What is Key Top Production of this market? What are the challenges for the growth of the Machine Learning in Retail market? What are the opportunities and threats in the Machine Learning in Retail market that sellers face in the global Machine Learning in Retail market? What is the analysis of sales, revenues and prices by type and application in the Machine Learning in Retail market? What is the analysis of sales, revenues and prices by market region for Machine Learning in Retail? Get a Discount of this report: https://www.bigmarketresearch.com/request-for-discount/3773576?utm_source=SHASHI&utm_medium=IDL The content of the study subjects, includes a total of 15 chapters: Chapter 1, to describe Machine Learning in Retail product scope, market overview, market opportunities, market driving force and market risks. Chapter 2, to profile the top manufacturers of Machine Learning in Retail, with price, sales, revenue and global market share of Machine Learning in Retail in 2017 and 2018. Chapter 3, the Machine Learning in Retail competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast. Chapter 4, the Machine Learning in Retail breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2014 to 2019. Chapter 5, 6, 7, 8 and 9, to break the sales data at the country level, with sales, revenue and market share for key countries in the world, from 2014 to 2019. Chapter 10 and 11, to segment the sales by type and application, with sales market share and growth rate by type, application, from 2014 to 2019. Chapter 12, Machine Learning in Retail market forecast, by regions, type and application, with sales and revenue, from 2014-2024. Chapter 13, 14 and 15, to describe Machine Learning in Retail sales channel, distributors, customers, research findings and conclusion, appendix and data source. Table of Contents 1 Market Overview 2 Manufacturers Profiles 3 Global Machine Learning in Retail Sales, Revenue, Market Share and Competition by Manufacturer 4 Global Machine Learning in Retail Market Analysis by Regions 5 North America Machine Learning in Retail by Country 6 Europe Machine Learning in Retail by Country 7 Asia-Pacific Machine Learning in Retail by Country 8 South America Machine Learning in Retail by Country 9 Middle East and Africa Machine Learning in Retail by Countries 10 Global Machine Learning in Retail Market Segment by Type 11 Global Machine Learning in Retail Market Segment by Application 12 Machine Learning in Retail Market Forecast 2014-2024 13 Sales Channel, Distributors, Traders and Dealers 14 Research Findings and Conclusion 15 Appendix You can still see the other trending report : https://illadelink.com/welding-positioners-market-2020-insights-by-revenue-upcoming-trends-and-worldwide-players-forecast-till-2026/ https://rejerusalem.com/189817/worldwide-gravitational-air-classifier-market-analysis-market-share-application-analysis-regional-outlook-competitive-strategies-forecast-by-2026/ About Us: Big Market Research has a range of research reports from various publishers across the world. Our database of reports of various market categories and sub-categories would help to find the exact report you may be looking for. We are instrumental in providing quantitative and qualitative insights on your area of interest by bringing reports from various publishers at one place to save your time and money. A lot of organizations across the world are gaining profits and great benefits from information gained through reports sourced by us. Contact us: Mr. Abhishek Paliwal 5933 NE Win Sivers Drive, #205, Portland, OR 97220 United States Direct: +1-971-202-1575 Toll Free: +1-800-910-6452 Email [email protected]   chetanNovember 18, 2020 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share via Email Print chetan Related Articles Talent Acquisition Solutions Market to Offer Lucrative Growth Prospects for Manufacturers by 2025 November 3, 2020 Online Membership Software  Market 2020 – Growing Trade Among Emerging Economies Opening New Opportunities by 2025 October 29, 2020 Version Control Hosting Software Market anticipated to grow at a strong CAGR by 2027: focuses on top players – SourceForge, Phabricator, GitHub, Gerrit October 27, 2020 Backup-as-a-service Market Rising Future Importance by 2025 with Top Key Players Microsoft, HPE, Dell, Commvault Systems, NetApp, Unitrends Inc, IBM October 28, 2020 Translation Services Provider Services Market Pin Point Analysis 2025 by Top Key Players Adobe, Lionbridge Technologies, CaptioningStar, Rev, Speechpad, 3Play Media October 30, 2020 Dry Film Lubrication Coatings Market Business Status, Industry Trends and Outlook 2020 to 2025 November 9, 2020 Recent Posts November 18, 2020 Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 November 18, 2020 Cloud Computing Data Center IT Asset Disposition Market Research Study by 2027 | Tes-Amm, Blancco, AMI, DIGITAL REALTY, etc November 18, 2020 Public Interior Design Market to Set Phenomenal Growth Rate and Forecast Analysis 2025 | Big Market Research November 18, 2020 Industrial Product Design Market in Depth Analysis on Trends, Growth, Opportunities and Forecast 2025 November 18, 2020 Publisher Ad Management software Market Promising Net Revenue by 2025 | Adzerk, Google, Marin, Advanse, Bidtellcet, Mvix, RSG Media November 18, 2020 Ad Management Software Market Untapped Growth Opportunities by Top Key Players Adzerk, Google, Marin, Advanse, Bidtellcet, Mvix, RSG Media, Sizmek November 18, 2020 Sample Preparation Market Analysis and Growth Forecasted till 2027, Perkinelmer, Danaher Corporation, Agilent Technologies Inc., Norgen Biotek Corporation, etc November 18, 2020 Online Advertising Management Software Market Size in Various Regions with Promising Growth Opportunities by 2025: Adzerk, Google, Marin, Advanse November 18, 2020 Payment Gateway Software Market May See a Big Move by 2025 with Top Key Players PayPal, Stripe, Amazon Payments, Authorize.net, WorldPay November 18, 2020 Cross-Channel Advertising Software Market Growing Popularity and Emerging Trends by 2025: TubeMogul, Marin, Oracle, Kenshoo, Funnel, Nanigans, MediaMath Facebook Twitter WhatsApp Telegram Back to top button Close Search for: Search for: Recent Posts Global Oral Cancer Treatment Industry Increasing Need for Higher Productivity to Boost Market Growth 2020-2026 | Bristol-Myers Squibb, Qilu Pharmaceutical Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 Cloud Gaming Market Competitive Landscape and Growth Opportunity | IBM Corporation, Blade, Blacknut, PAPERSPACE, RemoteMyApp Distributed Antenna System (Das) Market Opportunity And Competitive Landscape Forecast | Comba Telecom Systems Holdings Ltd., SOLiD, ATC IP LLC, AT&T, Boingo Wireless Global Ophthalmic Sutures Industry Insights & Opportunity Evaluation, 2020-2026 | Accutome, Alcon Inc., Assut Medical, Aurolab, B. 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Machine Learning in Retail Market Offered in New Research Forecasted through 2024 : IBM, Microsoft, Amazon Web Services
Machine Learning Retail Market Offered New Research Forecasted 2024 : IBM, Microsoft, Amazon Web Services Illadel Graff Supply Wednesday, November 18 2020 Breaking News Global Oral Cancer Treatment Industry reasing Need Higher Productivity Boost Market Growth 20202026 BristolMyers Squibb, Qilu Pharmaceutical Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 Cloud Gaming Market Competitive Landscape Growth Opportunity IBM Corporation, Blade, Blacknut, PAPERSPACE, RemoteMyApp Distributed Antenna System Das Market Opportunity And Competitive Landscape Forecast Comba Telecom Systems Holdings Ltd., SOLiD, ATC IP LLC, ATT, Boingo Wireless Global Ophthalmic Sutures Industry Insights Opportunity Evaluation, 20202026 Accutome, Alcon ., Assut Medical, Aurolab, B. Braun Melsungen AG, DemeTECH Corporation Global Ophthalmic Knife Industry Insights Opportunity Evaluation, 20202026 Sidapharm, LUTZ BLADES, MANI, Alcon, ., BeaverVisitec International, . BVI, Diamatrix, KAI Group Cloud Computing Data Center IT Asset Disposition Market Research Study 2027 TesAmm, Blancco, AMI, DIGITAL REALTY, Public Interior Design Market Set Phenomenal Growth Rate Forecast Analysis 2025 Big Market Research Global Onychomycosis Market Latest Trend Analysis, Progression Status, Revenue Expectation 2026 Abbott Laboratories, Glaxosmithkline, Pfizer, Bausch Health, Galderma, Janssen Biotech Product Lifecycle Management Market Worldwide Industry Size, Key Vendors, Growth Drivers Oracle, HewlettPackard Company, Atos SE, Accenture., Arena Solutions Sidebar Random Article Log In Menu Illadel Graff Supply Business Health Science Technology World Publish PRs HomeTechnologyMachine Learning Retail Market Offered New Research Forecasted 2024 : IBM, Microsoft, Amazon Web Services Technology Machine Learning Retail Market Offered New Research Forecasted 2024 : IBM, Microsoft, Amazon Web Services chetanNovember 18, 2020 A new report added Big Market Research claims globalMachine Learning Retail marketgrowth set reach newer heights forecast period 20142024. It carried compile market report Machine Learning Retail market The report exhaustive analysis market world. It offers overview market including definition, applications, key drivers, key market players, key segments, manufacturing technology. In addition, study presents statistical data status market valuable source guidance companies individuals interested industry. Additionally, detailed insights company profile, product specifications, capacity, production value, market shares key vendors presented report. Get copy thisreport: The total market segmented based company, country, applicationtype competitive landscape analysis. On contrary, information industry chain structure, emerging applications, technological developments market makes report mustread document. These insights help determine strength competition necessary steps obtain leading position Machine Learning Retail. industry. Additionally, research provides detailed analysis key segments market help charts tables. An overview market segment type, application, region provided report. These insights help understanding global trends Machine Learning Retail. industry form strategies implemented future. The market regions analyzed report, including North America, Europe, AsiaPacific, LAMEA. The report manifests growth trends future opportunities region. Additionally, research provides list leading market players active Machine Learning Retail. industry. KEY MARKET SEGMENTS Market Segment Manufacturers, report covers: IBM, Microsoft, Amazon Web Services, Oracle, SAP, Intel, NVIDIA, Google, Sentient Technologies, Salesforce, ViSenze By Product: Cloud Based OnPremises By Application: Online Offline The study clearly reveals Machine Learning Retail. industry attained remarkable growth 2024. This research report prepared based indepth analysis market experts. As final point, stakeholders, investors, product managers, marketing executives, professionals seeking unbiased data supply, demand, future forecasts report valuable. Key questions answered Machine Learning Retail report: What size market 2025and growth rate? What key trends Machine Learning Retail market? What Key Top Production market? What challenges growth Machine Learning Retail market? What opportunities threats Machine Learning Retail market sellers face global Machine Learning Retail market? What analysis sales, revenues prices type application Machine Learning Retail market? What analysis sales, revenues prices market region Machine Learning Retail? Get Discount thisreport: The content study subjects, includes total 15 chapters: Chapter 1, Machine Learning Retail product scope, market overview, market opportunities, market driving force market risks. Chapter 2, profile manufacturers Machine Learning Retail, price, sales, revenue global market share Machine Learning Retail 2017 2018. Chapter 3, Machine Learning Retail competitive situation, sales, revenue global market share manufacturers analyzed emphatically landscape contrast. Chapter 4, Machine Learning Retail breakdown data shown regional level, sales, revenue growth regions, 2014 2019. Chapter 5, 6, 7, 8 9, break sales data country level, sales, revenue market share key countries world, 2014 2019. Chapter 10 11, segment sales type application, sales market share growth rate type, application, 2014 2019. Chapter 12, Machine Learning Retail market forecast, regions, type application, sales revenue, 20142024. Chapter 13, 14 15, Machine Learning Retail sales channel, distributors, customers, research findings conclusion, appendix data source. Table Contents 1 Market Overview 2 Manufacturers Profiles 3 Global Machine Learning Retail Sales, Revenue, Market Share Competition Manufacturer 4 Global Machine Learning Retail Market Analysis Regions 5 North America Machine Learning Retail Country 6 Europe Machine Learning Retail Country 7 AsiaPacific Machine Learning Retail Country 8 South America Machine Learning Retail Country 9 Middle East Africa Machine Learning Retail Countries 10 Global Machine Learning Retail Market Segment Type 11 Global Machine Learning Retail Market Segment Application 12 Machine Learning Retail Market Forecast 20142024 13 Sales Channel, Distributors, Traders Dealers 14 Research Findings Conclusion 15 Appendix You trending report : : Big Market Research range research reports publishers world. Our database reports market categories subcategories help exact report looking for. We instrumental providing quantitative qualitative insights area bringing reports publishers place save time money. A lot organizations world gaining profits great benefits information gained reports sourced us. us: Mr. Abhishek Paliwal 5933 NE Win Sivers Drive, 205, Portland, OR 97220 United States Direct:19712021575 Toll Free:18009106452 Emailhelp chetanNovember 18, 2020 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print chetan Related Articles Talent Acquisition Solutions Market Offer Lucrative Growth Prospects Manufacturers 2025 November 3, 2020 Online Membership Software Market 2020 Growing Trade Among Emerging Economies Opening New Opportunities 2025 October 29, 2020 Version Control Hosting Software Market anticipated grow strong CAGR 2027: focuses players SourceForge, Phabricator, GitHub, Gerrit October 27, 2020 Backupasaservice Market Rising Future Importance 2025 Top Key Players Microsoft, HPE, Dell, Commvault Systems, NetApp, Unitrends , IBM October 28, 2020 Translation Services Provider Services Market Pin Point Analysis 2025 Top Key Players Adobe, Lionbridge Technologies, CaptioningStar, Rev, Speechpad, 3Play Media October 30, 2020 Dry Film Lubrication Coatings Market Business Status, Industry Trends Outlook 2020 2025 November 9, 2020 Recent Posts November 18, 2020 Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 November 18, 2020 Cloud Computing Data Center IT Asset Disposition Market Research Study 2027 TesAmm, Blancco, AMI, DIGITAL REALTY, November 18, 2020 Public Interior Design Market Set Phenomenal Growth Rate Forecast Analysis 2025 Big Market Research November 18, 2020 Industrial Product Design Market Depth Analysis Trends, Growth, Opportunities Forecast 2025 November 18, 2020 Publisher Ad Management software Market Promising Net Revenue 2025 Adzerk, Google, Marin, Advanse, Bidtellcet, Mvix, RSG Media November 18, 2020 Ad Management Software Market Untapped Growth Opportunities Top Key Players Adzerk, Google, Marin, Advanse, Bidtellcet, Mvix, RSG Media, Sizmek November 18, 2020 Sample Preparation Market Analysis Growth Forecasted till 2027, Perkinelmer, Danaher Corporation, Agilent Technologies ., Norgen Biotek Corporation, November 18, 2020 Online Advertising Management Software Market Size Various Regions Promising Growth Opportunities 2025: Adzerk, Google, Marin, Advanse November 18, 2020 Payment Gateway Software Market May See Big Move 2025 Top Key Players PayPal, Stripe, Amazon Payments, , WorldPay November 18, 2020 CrossChannel Advertising Software Market Growing Popularity Emerging Trends 2025: TubeMogul, Marin, Oracle, Kenshoo, Funnel, Nanigans, MediaMath Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Global Oral Cancer Treatment Industry reasing Need Higher Productivity Boost Market Growth 20202026 BristolMyers Squibb, Qilu Pharmaceutical Commercial Interior Design Market Ongoing Trends, Vigorous Growth, Cost Analysis, Business Strategies Till 2025 Cloud Gaming Market Competitive Landscape Growth Opportunity IBM Corporation, Blade, Blacknut, PAPERSPACE, RemoteMyApp Distributed Antenna System Das Market Opportunity And Competitive Landscape Forecast Comba Telecom Systems Holdings Ltd., SOLiD, ATC IP LLC, ATT, Boingo Wireless Global Ophthalmic Sutures Industry Insights Opportunity Evaluation, 20202026 Accutome, Alcon ., Assut Medical, Aurolab, B. Braun Melsungen AG, DemeTECH Corporation Recent CommentsArchives November 2020 October 2020 September 2020 Categories Business Health Science Technology Uncategorized World Meta Log Entries feed Comments feed Close Close Log In Forget? Remember Log In
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https://www.mccourier.com/artificial-intelligence-in-healthcare-market-size-trends-company-profiles-growth-rate-revenue-demand-and-forecast-2026-intel-ibm-google-microsoft-general-vision/
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Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Intel, IBM, Google, Microsoft, General Vision – The Courier
Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Intel, IBM, Google, Microsoft, General Vision – The Courier Thursday, December 24 2020 Breaking News Turkey Solar Photovoltaic Market Report- Trends, Industry Analysis, Size, Share, Growth, Status, and Forecast 2023 | Bereket Enerji Uretim AS; Aksu Enerji ve Ticaret Artificial Intelligence (AI) in Drug Discovery Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Microsoft, NVIDIA Corporation, IBM, Atomwise Global Orphan Drug Market: Latest Innovations, Drivers and Industry Key Events 2020–2029 Digital Therapeutics (DTx) Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Omada Health, Pear Therapeutics, Proteus Digital Health Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Intel, IBM, Google, Microsoft, General Vision Automotive Cyber Security Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Argus Cyber Security, Intel Corporation, Trillium Autonomous Vehicles Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Google, General Motors, Volkswagen, BMW, Baidu, Toyota, Tesla, Audi Global Immuno Oncology Assays Market: Latest Innovations, Drivers and Industry Key Events 2020–2029 Cognitive Assessment and Training Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Cambridge Cognition, CogniFit, Brain Resource Global Report On Product Lifecycle Management and Engineering Software Market Is Booming Worldwide With Strong Growth | Dassault Systemes , Synopsys ,Siemens ,Autodesk ,Hexagon ,Cadence Design Systems ,Ansys ,PTC ,Mentor Sidebar Random Article Log In Menu The Courier Search for Business Technology World Science Health Publish PR Search for Home/Technology/Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Intel, IBM, Google, Microsoft, General Vision BusinessTechnologyWorld Trending Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 | Intel, IBM, Google, Microsoft, General Vision Artificial Intelligence in Healthcare Market MarketDigitsDecember 24, 2020 1 Latest added Artificial Intelligence in Healthcare Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2026. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study are Intel Corporation, IBM, Google, Microsoft, General Vision, GENERAL ELECTRIC, Siemens Healthcare. The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources. This report studies the Artificial Intelligence in Healthcare Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Artificial Intelligence in Healthcare Market by companies, region, type and end-use industry. Request for Free Sample Copy of This Report @ https://marketdigits.com/artificial-intelligence-in-healthcare-market/sample Scroll down 100s of data Tables, charts and graphs spread through Pages and in-depth Table of Content on ” Global Artificial intelligence in Healthcare Market By Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision), Applications (Robot- Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis),  End- Use Application (Patient Data and Risk Analysis, Inpatient Care & Hospital Management, Medical Imaging & Diagnostics, Lifestyle Management & Monitoring, Virtual Assistant, Drug Discovery, Research, Healthcare Assistance Robots, Precision Medicine, Emergency Room & Surgery, Wearables, Mental Health), End- User (Hospitals and Providers, Patients, Pharmaceutical and Biotechnology Companies, Healthcare Payers), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) – Industry Trends and Forecast to 2026″. Early buyers will get 10% customization on study. To Avail deep insights of Artificial Intelligence in Healthcare Market Size, competition landscape is provided i.e. Revenue Analysis (M $US) by Company (2018-2020), Segment Revenue Market Share (%) by Players (2018-2020) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future. Unlock new opportunities in Artificial Intelligence in Healthcare Market; the latest release from MarketDigits highlights the key market trends significant to the growth prospects, Let us know if any specific players or list of players needs to consider to gain better insights. Grab Complete Details with TOC For Free @ https://marketdigits.com/artificial-intelligence-in-healthcare-market/toc The report covers exhaustive analysis on: Artificial Intelligence in Healthcare Market Segments Artificial Intelligence in Healthcare Market Dynamics Historical Actual Market Size Artificial Intelligence in Healthcare Market Size & Forecast Artificial Intelligence in Healthcare Agents Current Trends/Issues/Challenges Competition & Companies involved Artificial Intelligence in Healthcare Market Drivers and Restraints Market Analysis: Global Artificial Intelligence in Healthcare Market Global Artificial Intelligence in Healthcare Market is expected to rise from its initial estimated value of USD 2.07 billion to an estimated value of USD 54.10 billion by 2026, registering a CAGR of 50.37% in the forecast period of 2019-2026. Increasing demand for reducing the healthcare cost is the major factor for the growth in this market. Few of the major competitors currently working in the artificial intelligence in healthcare market NVIDIA Corporation, Intel Corporation, IBM, Google, Microsoft, General Vision, GENERAL ELECTRIC, Siemens Healthcare Private Limited, Medtronic, CloudMedx Inc., Imagia Cybernetics Inc., Precision Health           Intelligence, LLC., Cloud Pharmaceuticals, Inc. Market Definition: Global Artificial Intelligence in Healthcare Market Artificial Intelligence in healthcare uses software and algorithms which is used to analyze human cognitive functions. In simple words, computer techniques are used by the professional to suggest treatments and to perform clinical diagnoses. Cancer, neurology and cardiology are the major diseases areas that use AI tools. AI tool help to give accurate output to their end- user. Diagnosis processes, treatment protocol development, drug development, personalized medicine etc. are some of the practices where AI programs are used. Key Developments in the Market: In November 2018, GE Healthcare at radiological society of North America announced the launch of its new Edison artificial intelligence platform that will have new applications and software that will help the hospitals and health systems to develop algorithms and manage data. In January 2019, Alliance for Artificial Intelligence in Healthcare (AAIH) was launched officially. It is a nonprofit organization whose aim is to develop and implement artificial intelligence in healthcare. The main aim is to increase AI in the healthcare industry and engendered enthusiasm and hope in consumers and patients. Competitive Analysis: Global Artificial Intelligence in Healthcare Market Global artificial intelligence in healthcare market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of artificial intelligence in healthcare market for global, Europe, North America, Asia Pacific, South America and Middle East & Africa. Research Methodology: Global Artificial Intelligence in Healthcare Market Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request an Analyst Call or can drop down your inquiry. The key research methodology used by MarketDigits team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts. An excellent Artificial Intelligence in Healthcare Market report contains complete background analysis of industry, which includes an assessment of the parental market. This marketing report not only saves precious time but also add credibility to the work. The base year for calculation in the report is considered as 2020 while the historic year is 2019 which suggests how the market is going to perform in the forecast years by informing about the market definition, classifications, applications, and engagements. An all inclusive Artificial Intelligence in Healthcare Market research report brings into focus the key market dynamics of the sector. A range of definitions and classification of the industry, applications of the industry and chain structure are given in the report. Customization of the Report: All segmentation provided above in this report is represented at country level All products covered in the market, product volume and average selling prices will be included as customizable options which may incur no or minimal additional cost (depends on customization) Table Of Content: Global Artificial Intelligence in Healthcare Market Part 01: Executive Summary Part 02: Scope Of The Report Part 03: Global Artificial Intelligence in Healthcare Market Landscape Part 04: Global Artificial Intelligence in Healthcare Market Sizing Part 05: Global Artificial Intelligence in Healthcare Market Segmentation By Product Part 06: Five Forces Analysis Part 07: Customer Landscape Part 08: Geographic Landscape Part 09: Decision Framework Part 10: Drivers And Challenges Part 11: Market Trends Part 12: Vendor Landscape Part 13: Vendor Analysis And More Any Questions? Inquire Here Before Buying @ https://marketdigits.com/artificial-intelligence-in-healthcare-market/analyst About Market Digits : MarketDigits is one of the leading business research and consulting companies that helps clients to tap new and emerging opportunities and revenue areas, thereby assisting them in operational and strategic decision-making. We at MarketDigits believe that market is a small place and an interface between the supplier and the consumer, thus our focus remains mainly on business research that includes the entire value chain and not only the markets. We offer services that are most relevant and beneficial to the users, which help businesses to sustain in this competitive market. Our detailed and in-depth analysis of the markets catering to strategic, tactical, and operational data analysis & reporting needs of various industries utilize advanced technology so that our clients get better insights into the markets and identify lucrative opportunities and areas of incremental revenues. Contact Us : Market Digits Phone : +91-9822485644 Email : [email protected] Tags2020 Artificial Intelligence in Healthcare Market Analysis Artificial Intelligence in Healthcare Artificial Intelligence in Healthcare Market Artificial Intelligence in Healthcare Market Analysis in Developed Countries Artificial Intelligence in Healthcare Market by Application Artificial Intelligence in Healthcare Market by Type Artificial Intelligence in Healthcare Market Development Artificial Intelligence in Healthcare Market Evolving Opportunities With Top Industry Experts Artificial Intelligence in Healthcare Market Forecast Artificial Intelligence in Healthcare Market Forecast to 2025 Artificial Intelligence in Healthcare Market Future Innovation Artificial Intelligence in Healthcare Market Future Trends Artificial Intelligence in Healthcare Market Google News Artificial Intelligence in Healthcare Market Growing Demand and Growth Opportunity Artificial Intelligence in Healthcare Market in Asia Artificial Intelligence in Healthcare Market in Australia Artificial Intelligence in Healthcare Market in Europe Artificial Intelligence in Healthcare Market in France Artificial Intelligence in Healthcare Market in Germany Artificial Intelligence in Healthcare Market in Key Countries Artificial Intelligence in Healthcare Market in United Kingdom Artificial Intelligence in Healthcare Market is Booming Artificial Intelligence in Healthcare Market is Emerging Industry in Developing Countries Artificial Intelligence in Healthcare Market Latest Report Artificial Intelligence in Healthcare Market Rising Trends Artificial Intelligence in Healthcare Market Size Artificial Intelligence in Healthcare Market Size in United States Artificial Intelligence in Healthcare Market SWOT Analysis Artificial Intelligence in Healthcare Market Updates Global Artificial Intelligence in Healthcare Market Google News MarketDigitsDecember 24, 2020 1 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte 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Artificial Intelligence in Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026
Artificial Intelligence Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Intel, IBM, Google, Microsoft, General Vision The Courier Thursday, December 24 2020 Breaking News Turkey Solar Photovoltaic Market Report Trends, Industry Analysis, Size, Share, Growth, Status, Forecast 2023 Bereket Enerji Uretim AS; Aksu Enerji Ticaret Artificial Intelligence AI Drug Discovery Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Microsoft, NVIDIA Corporation, IBM, Atomwise Global Orphan Drug Market: Latest Innovations, Drivers Industry Key Events 20202029 Digital Therapeutics DTx Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Omada Health, Pear Therapeutics, Proteus Digital Health Artificial Intelligence Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Intel, IBM, Google, Microsoft, General Vision Automotive Cyber Security Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Argus Cyber Security, Intel Corporation, Trillium Autonomous Vehicles Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Google, General Motors, Volkswagen, BMW, Baidu, Toyota, Tesla, Audi Global Immuno Oncology Assays Market: Latest Innovations, Drivers Industry Key Events 20202029 Cognitive Assessment Training Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Cambridge Cognition, CogniFit, Brain Resource Global Report On Product Lifecycle Management Engineering Software Market Is Booming Worldwide With Strong Growth Dassault Systemes , Synopsys ,Siemens ,Autodesk ,Hexagon ,Cadence Design Systems ,Ansys ,PTC ,Mentor Sidebar Random Article Log In Menu The Courier Business Technology World Science Health Publish PR HomeTechnologyArtificial Intelligence Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Intel, IBM, Google, Microsoft, General Vision BusinessTechnologyWorld Trending Artificial Intelligence Healthcare Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Intel, IBM, Google, Microsoft, General Vision Artificial Intelligence Healthcare Market MarketDigitsDecember 24, 2020 1 Latest added Artificial Intelligence Healthcare Market research study MarketDigits offers detailed product outlook elaborates market review till 2026. The market Study segmented key regions accelerating marketization. At present, market sharping presence key players study Intel Corporation, IBM, Google, Microsoft, General Vision, GENERAL ELECTRIC, Siemens Healthcare. The study perfect mix qualitative quantitative Market data collected validated majorly primary data secondary sources. This report studies Artificial Intelligence Healthcare Market size, industry status forecast, competition landscape growth opportunity. This research report categorizes Artificial Intelligence Healthcare Market companies, region, type enduse industry. Request Free Sample Copy This Report @ Scroll 100s data Tables, charts graphs spread Pages indepth Table Content Global Artificial intelligence Healthcare Market By Offering Hardware, Software, Services, Technology Machine Learning, Natural Language Processing, Context Aware Computing, Computer Vision, Applications Robot Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, End Use Application Patient Data Risk Analysis, Inpatient Care Hospital Management, Medical Imaging Diagnostics, Lifestyle Management Monitoring, Virtual Assistant, Drug Discovery, Research, Healthcare Assistance Robots, Precision Medicine, Emergency Room Surgery, Wearables, Mental Health, End User Hospitals Providers, Patients, Pharmaceutical Biotechnology Companies, Healthcare Payers, Geography North America, South America, Europe, AsiaPacific, Middle East Africa Industry Trends Forecast 2026. Early buyers 10 customization study. To Avail deep insights Artificial Intelligence Healthcare Market Size, competition landscape provided i.e. Revenue Analysis M US Company 20182020, Segment Revenue Market Share Players 20182020 qualitative analysis market concentration rate, productservice differences, new entrants technological trends future. Unlock new opportunities Artificial Intelligence Healthcare Market; latest release MarketDigits highlights key market trends significant growth prospects, Let know specific players list players needs consider gain better insights. Grab Complete Details TOC For Free @ The report covers exhaustive analysis on: Artificial Intelligence Healthcare Market Segments Artificial Intelligence Healthcare Market Dynamics Historical Actual Market Size Artificial Intelligence Healthcare Market Size Forecast Artificial Intelligence Healthcare Agents Current TrendsIssuesChallenges Competition Companies involved Artificial Intelligence Healthcare Market Drivers Restraints Market Analysis: Global Artificial Intelligence Healthcare Market Global Artificial Intelligence Healthcare Market expected rise initial estimated value USD 2.07 billion estimated value USD 54.10 billion 2026, registering CAGR 50.37 forecast period 20192026. reasing demand reducing healthcare cost major factor growth market. Few major competitors currently working artificial intelligence healthcare market NVIDIA Corporation, Intel Corporation, IBM, Google, Microsoft, General Vision, GENERAL ELECTRIC, Siemens Healthcare Private Limited, Medtronic, CloudMedx ., Imagia Cybernetics ., Precision Health Intelligence, LLC., Cloud Pharmaceuticals, . Market Definition: Global Artificial Intelligence Healthcare Market Artificial Intelligence healthcare uses software algorithms analyze human cognitive functions. In simple words, techniques professional suggest treatments perform clinical diagnoses. Cancer, neurology cardiology major diseases areas use AI tools. AI tool help accurate output end user. Diagnosis processes, treatment protocol development, drug development, personalized medicine etc. practices AI programs used. Key Developments Market: In November 2018, GE Healthcare radiological society North America announced launch new Edison artificial intelligence platform new applications software help hospitals health systems develop algorithms manage data. In January 2019, Alliance Artificial Intelligence Healthcare AAIH launched officially. It nonprofit organization aim develop implement artificial intelligence healthcare. The main aim increase AI healthcare industry engendered enthusiasm hope consumers patients. Competitive Analysis: Global Artificial Intelligence Healthcare Market Global artificial intelligence healthcare market highly fragmented major players strategies new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, increase footprints market. The report includes market shares artificial intelligence healthcare market global, Europe, North America, Asia Pacific, South America Middle East Africa. Research Methodology:Global Artificial Intelligence Healthcare Market Data collection base year analysis data collection modules large sample sizes. The market data analyzed forecasted market statistical coherent models. Also market share analysis key trend analysis major success factors market report. To know Request Analyst Call drop inquiry. The key research methodology MarketDigits team data triangulation involves data mining, analysis impact data variables market, primary industry expert validation. Apart this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview Guide, Company Positioning Grid, Company Market Share Analysis, Standards Measurement, Top Bottom Analysis Vendor Share Analysis. To know research methodology, drop inquiry speak industry experts. An excellent Artificial Intelligence Healthcare Market report contains complete background analysis industry, includes assessment parental market. This marketing report saves precious time add credibility work. The base year calculation report considered 2020 historic year 2019 suggests market going perform forecast years informing market definition, classifications, applications, engagements. An inclusive Artificial Intelligence Healthcare Market research report brings focus key market dynamics sector. A range definitions classification industry, applications industry chain structure given report. Customization Report: All segmentation provided report represented country level All products covered market, product volume average selling prices included customizable options incur minimal additional cost depends customization Table Of Content: Global Artificial Intelligence Healthcare Market Part 01: Executive Summary Part 02: Scope Of The Report Part 03: Global Artificial Intelligence Healthcare Market Landscape Part 04: Global Artificial Intelligence Healthcare Market Sizing Part 05: Global Artificial Intelligence Healthcare Market Segmentation By Product Part 06: Five Forces Analysis Part 07: Customer Landscape Part 08: Geographic Landscape Part 09: Decision Framework Part 10: Drivers And Challenges Part 11: Market Trends Part 12: Vendor Landscape Part 13: Vendor Analysis And More Any Questions? Inquire Here Before Buying @ About Market Digits : MarketDigits leading business research consulting companies helps clients tap new emerging opportunities revenue areas, assisting operational strategic decisionmaking. We MarketDigits believe market small place interface supplier consumer, focus remains mainly business research includes entire value chain markets. We offer services relevant beneficial users, help businesses sustain competitive market. Our detailed indepth analysis markets catering strategic, tactical, operational data analysis reporting needs industries utilize advanced technology clients better insights markets identify lucrative opportunities areas incremental revenues. Us : Market Digits Phone : 919822485644 Email : sales Tags2020 Artificial Intelligence Healthcare Market Analysis Artificial Intelligence Healthcare Artificial Intelligence Healthcare Market Artificial Intelligence Healthcare Market Analysis Developed Countries Artificial Intelligence Healthcare Market Application Artificial Intelligence Healthcare Market Type Artificial Intelligence Healthcare Market Development Artificial Intelligence Healthcare Market Evolving Opportunities With Top Industry Experts Artificial Intelligence Healthcare Market Forecast Artificial Intelligence Healthcare Market Forecast 2025 Artificial Intelligence Healthcare Market Future Innovation Artificial Intelligence Healthcare Market Future Trends Artificial Intelligence Healthcare Market Google News Artificial Intelligence Healthcare Market Growing Demand Growth Opportunity Artificial Intelligence Healthcare Market Asia Artificial Intelligence Healthcare Market Australia Artificial Intelligence Healthcare Market Europe Artificial Intelligence Healthcare Market France Artificial Intelligence Healthcare Market Germany Artificial Intelligence Healthcare Market Key Countries Artificial Intelligence Healthcare Market United Kingdom Artificial Intelligence Healthcare Market Booming Artificial Intelligence Healthcare Market Emerging Industry Developing Countries Artificial Intelligence Healthcare Market Latest Report Artificial Intelligence Healthcare Market Rising Trends Artificial Intelligence Healthcare Market Size Artificial Intelligence Healthcare Market Size United States Artificial Intelligence Healthcare Market SWOT Analysis Artificial Intelligence Healthcare Market Updates Global Artificial Intelligence Healthcare Market Google News MarketDigitsDecember 24, 2020 1 Facebook Twitter LinkedIn Tumblr Pinterest Reddit VKontakte Share Email Print MarketDigits Related Articles Quantum Computing Market : Overview Report 2020, Covid19 Analysis, Future Plans Industry Growth High CAGR Forecast 2026 December 2, 2020 Pharmaceutical Contract Manufacturing Market 2020 Global Industry Analysis Size, Share, Trends, Key Players, Growth Application COVID19 Impact Analysis 2026 Major Gaints Lonza Group, Recipharm AB, Vetter Pharma International GMBH November 30, 2020 Workflow Orchestration Market Analysis Forecast By Key Players, Share, Trend, Segmentation 2026 Global Players Microsoft, IBM, Cisco Systems, Oracle, VMware, BMC Software December 22, 2020 5G Fixed Wireless Access Market: Future Demand Growth Analysis Forecast 2026 Samsung Electronics, Qualcomm Technologies, Nokia Corporation December 10, 2020 Gummy Vitamins Market See Major Growth By 2026 Hero Nutritionals LLC., Ion Labs, Bayer AG December 9, 2020 Network Slicing Market COVID19 Impact Analysis 2021 Size, Share, Trends Profitable Segments Breakdown Detailed Analysis Current Future Industry Figures till 2026 December 8, 2020 Recent Posts Artificial Intelligence AI Drug Discovery Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Microsoft, NVIDIA Corporation, IBM, Atomwise December 24, 2020 Digital Therapeutics DTx Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Omada Health, Pear Therapeutics, Proteus Digital Health December 24, 2020 Automotive Cyber Security Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Argus Cyber Security, Intel Corporation, Trillium December 24, 2020 Autonomous Vehicles Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Google, General Motors, Volkswagen, BMW, Baidu, Toyota, Tesla, Audi December 24, 2020 Cognitive Assessment Training Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Cambridge Cognition, CogniFit, Brain Resource December 24, 2020 Collaborative Robot Cobot Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Kawasaki Heavy Industries, Precise Automation, MRKSysteme December 24, 2020 Commercial Lighting Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Deco Lighting, Syska, Toshiba Corporation December 24, 2020 Confidential Computing Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Google Cloud, IBM, Intel, Microsoft December 24, 2020 Customer Experience Management Market Size, Trends, Company Profiles, Growth Rate, Revenue, Demand And Forecast 2026 Oracle, SAP SE, IBM, Nokia December 24, 2020 Facebook Twitter WhatsApp Telegram Back button Close for: for: Recent Posts Turkey Solar Photovoltaic Market Report Trends, Industry Analysis, Size, Share, Growth, Status, Forecast 2023 Bereket Enerji Uretim AS; 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2020-06-20T00:00:00
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Trending News: Wearable AI Overview and Forecast Report 2020-2026 – Top players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle | InFor Growth – Jewish Market Reports
Trending News: Wearable AI Overview and Forecast Report 2020-2026 – Top players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle | InFor Growth – Jewish Market Reports Skip to the content Search Jewish Market ReportsJewish Market Research Menu Contact Search Search for: Close search Close Menu Contact Categories Global Market Industry Analysis Industry Growth Industry Trends Key Players Market Forecast Market Outlook Market Report Market Reports Market Research Market Sales Market Share Market Size News Trending News: Wearable AI Overview and Forecast Report 2020-2026 – Top players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle | InFor Growth Post author By brian Post date June 20, 2020 A new research study has been presented by Precision Market Reports (PMR) after a comprehensive analysis on WEARABLE AI  Market where user can get benefits from the complete market research report with all required useful information on market. Report discuss all major market aspects with expert opinion on current market status along with historic data as well. Detailed study Price, Share, Size & Growth, Latest News & Developments, Expansion Plan, Current Business Strategy, Top Companies, Sales, Revenue & Competitors Analysis, Production and Consumption, Demand & Supply, Industry and Business Study, Effect of Covid 19 (Buyers & Sellers) and Prediction 2020-2025. Regions Covered in the WEARABLE AI  Market: The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.) North America (United States, Mexico & Canada) South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.) Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)   Covid-19 Scenario: In the midst of the lockdown, several major market players stopped the production of various products. Through the COVID-19 pandemic, various end-users of products such as industrial manufacturing units and construction industry and so on around the globe stopped their operation in the middle of the lockdown. During the COVID-19 pandemic outbreak, revenue generated segment is likely to increase as daily wage workers such as carpenters, plumbers and electricians were exempted from work during the lockdown. TOP PLAYERS: Competitors Analysis includes market shares for all the companies listed below, Competitors Analysis revenue chart, Competitive Dashboard, and the competitors’ latest strategies for overcoming the Covid 19 pandemic situation.   Download Sample of This Strategic Report:  https://www.precisionmarketreports.com/download-sample/294269 SEGMENTAL ANALYSIS: Each segment is assessed on the basis of its growth rate and share. In addition, the analysts have studied potential regions that may prove rewarding to the WEARABLE AI  market in the years to come. The geographical research provides accurate value and volume forecasts, thereby helping market players gain profound insights into the WEARABLE AI  market as a whole. On the basis of product, we research the production, revenue, price, market share and growth rate, primarily split into: By Market Players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle By Application Consumer Electronics, Enterprise, Healthcare By Type Smart Watch, Ear Wear, Eye Wear Pdf Sample Copy of this [email protected]: https://www.precisionmarketreports.com/download-sample/294269 Comprehensive analysis of product demand on global as well as regional markets. Draw up information on major market trends, drivers, obstacles and other related challenges. A detailed review of many vendors present on the market. Competitive world consisting of launches, mergers, acquisitions, partnerships and joint projects with new products. Complete coverage of all product and market segments for pattern evaluation, global market innovation, and market size forecast up to 2025. Comprehensive review of the companies which operate for the products on the global market. The company’s profile involves analysis of the product portfolio, sales analysis, SWOT analysis and the latest developments in the sector. Growth Matrix offers brand segment and geography analysis that will be focused on investing, consolidating, and growing and/or diversifying market players. Comprehensive parent market analysis Major changes in dynamics of the market Details of market segmentation Former, current and expected study of size and price of the industry Evaluation of innovations in the niche industry Analysis of market share Major Player’s main strategies Segment emerging and regional markets Testimonials for companies to improve their market presence. That’s right. For classify and estimate tangible business factors, both Bottom-Up and Top-Down methods are analyzed. In addition, the results of the study were based on face-to-face or telephone interviews with the Industry Expert Panel. In order to validate a detailed and balanced industry analysis, panelists were approached from Leading Industries across the value chain including producers, distributors, service providers, business experts and consumers. Table of Contents: 1 Global Market Overview 1.1 Scope of Statistics 1.1.1 Scope of Products 1.1.2 Scope of Manufacturers 1.1.3 Scope of End-Use 1.1.4 Scope of Product Type 1.1.5 Scope of Regions/Countries 1.2 Global Market Size Fig Global WEARABLE AI  Market Size and CAGR 2015-2019 (Million USD) Fig Global WEARABLE AI  Market Size and CAGR 2015-2019 (Volume) Fig Global WEARABLE AI  Market Forecast and CAGR 2020-2025 (Million USD) Fig Global WEARABLE AI  Market Forecast and CAGR 2020-2025 (Volume) 2 Regional Market 2.1 Regional Sales Tab Regional Sales Revenue 2015-2019 (Million USD) Tab Regional Sales Volume 2015-2019 (Volume) 2.2 Regional Demand Tab Regional Demand and CAGR List 2015-2019 (Million USD) Enquire For Customization In the Report: https://www.precisionmarketreports.com/download-sample/294269 The report offers the restraints that help to tackle the obstacles for the businesses for a tremendous growth. Through this report, consumers can easily get views on WEARABLE AI  Market based on the current scenario. About Precision Market Reports (PMR): Precision Market Reports provides quantified B2B research on 25,000 high-growth niche opportunities / threats that will impact 50 to 75 percent of global company revenues. Actively representing more than 5000 customers worldwide, including 50 percent of Fortune 500 global businesses as clients. Almost 25,000 top officials across eight industries worldwide approach Precision Market Reports for their pain points around revenue decisions. Our reports provide a rare combination of concrete perspectives and qualitative research to help businesses attain sustainable growth. Our team of experienced analysts and consultants use industry-leading research tools and techniques to compile extensive, interspersed with relevant data, market studies. Precision Business Reports provide objective insight and reliable data, helping companies of all sizes take timely decisions. We tailor creative solutions for our customers to help them address problems that are distinct from their business. Our aim is to empower our customers with holistic market intelligence, giving them a granular overview of the market in which they operate. Contact: Mr. Brian Smith Precision Market Reports 169, Elisenthal, North Rhine- Westphalia, Rhehin- Sieg- Kreis, Windeck, Hohnrath, Germany, DE- 51570. Phone: +1 (845) 377-0269 Website: www.precisionmarketreports.com Email: [email protected]/ [email protected] Tags Coronavirus, COVID-19, Wearable AI Market, Wearable AI Market Analysis, Wearable AI Market Forecast, WEARABLE AI Market Industry, WEARABLE AI Market Market, WEARABLE AI Market Overview, WEARABLE AI Market Price, WEARABLE AI Market Research Analysis, Wearable AI Market Share, Wearable AI Market Trends ← Germanium Wafer (Ge Wafer) Market (Impact of COVID-19) Top Growing Companies: American Elements,5N Plus,Semiconductor Wafer,Umicore,VY Optoelectronics,PAM-XIAMEN,Wafer World → Global Personal Finance Services Market Growth 2020 Growing Strategies, Industry Segmentation and Forecast 2025 Search for: Recent Posts Global and Asia Pacific Casein Glycomacropeptide Market Research Report 2020 CoronaVirus Efect on Industry and Companies, Arla Foods Ingredients, Agropur Ingredients, S A Pharmachem, Vitaflo Global and Europe Organic 2% Milk Market Status Report COVID 19 Impact Analysis EditionArla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley Global Organic Fat free Milk Market Report 2020 COVID 19 Impact Analysis Edition Top Players Include, Arla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley A Quantitative SWOT analysis on Content Services Platform Market 2020 major key companies profiled like Alfresco Software, Box, GRM Information Management, Hyland Software, Laserfiche Global and Asia Pacific Organic Whole Milk Market Research Report 2020 CoronaVirus Efect on Industry and Companies, Arla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley Global and Europe Veterinary Urine Analyzers Market Status Report COVID 19 Impact Analysis EditionArkray, BPC BioSed, Idexx Laboratories, URIT Medical Electronic, Abaxis Global Construction Repaint Market Report 2020 COVID 19 Impact Analysis Edition Top Players Include, Arkema, Solvay, Nuplex Industries Limited, BASF, Covestro NATIVE BACTERIAL ANTIGENS Market 2020-2025 | Top Key Players: The Native Antigen Company QED Bioscience SERION Immunologics Creative Diagnostics Jena Bioscience GmbH Microbix Biosystems AROTEC Diagnostics Enzo Life Sciences Bio-Rad Laboratories Ross Southern Laboratories Cloud Office Migration Tool Market SWOT Analysis and Key Growth Methodologies By 2026 major key companies profiled like vePoint, Binarytree.com, BitTitan, Proventeq Limited, Quadrotech Solutions Polyvinylidene Fluoride Powder Market Survey Report 2020 Arkema, Solvay, Dongyue, 3F, Kureha MenuNews Market Sales Industry Analysis Market Size Market Report Market Outlook Industry Growth Contact © 2020 Jewish Market Reports Powered by WordPress To the top ↑ Up ↑
Trending News: Wearable AI Overview and Forecast Report 2020-2026
Trending News: Wearable AI Overview Forecast Report 20202026 Top players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle InFor Growth Jewish Market Reports Skip content Jewish Market ReportsJewish Market Research Menu for: Close search Close Menu Categories Global Market Industry Analysis Industry Growth Industry Trends Key Players Market Forecast Market Outlook Market Report Market Reports Market Research Market Sales Market Share Market Size News Trending News: Wearable AI Overview Forecast Report 20202026 Top players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle InFor Growth Post author By brian Post date June 20, 2020 A new research study presented Precision Market Reports PMR comprehensive analysis WEARABLE AI Market user benefits complete market research report required useful information market. Report discuss major market aspects expert opinion current market status historic data well. Detailed study Price, Share, Size Growth, Latest News Developments, Expansion Plan, Current Business Strategy, Top Companies, Sales, Revenue Competitors Analysis, Production Consumption, Demand Supply, Industry Business Study, Effect Covid 19 Buyers Sellers Prediction 20202025. Regions Covered WEARABLE AI Market: The Middle East Africa South Africa, Saudi Arabia, UAE, Israel, Egypt, etc. North America United States, Mexico Canada South America Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc. Europe Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc. AsiaPacific Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Covid19 Scenario: In midst lockdown, major market players stopped production products. Through COVID19 pandemic, endusers products industrial manufacturing units construction industry globe stopped operation middle lockdown. During COVID19 pandemic outbreak, revenue generated segment likely increase daily wage workers carpenters, plumbers electricians exempted work lockdown. TOP PLAYERS: Competitors Analysis includes market shares companies listed below, Competitors Analysis revenue chart, Competitive Dashboard, competitors latest strategies overcoming Covid 19 pandemic situation. Download Sample This Strategic Report: SEGMENTAL ANALYSIS: Each segment assessed basis growth rate share. In addition, analysts studied potential regions prove rewarding WEARABLE AI market years come. The geographical research provides accurate value volume forecasts, helping market players gain profound insights WEARABLE AI market whole. On basis product, research production, revenue, price, market share growth rate, primarily split into: By Market Players: Apple, Samsung, Google, Microsoft, Sony, Garmin, Fitbit, Huawei, Amazon, IBM, Oracle By Application Consumer Electronics, Enterprise, Healthcare By Type Smart Watch, Ear Wear, Eye Wear Pdf Sample Copy this[emailprotected]: Comprehensive analysis product demand global regional markets. Draw information major market trends, drivers, obstacles related challenges. A detailed review vendors present market. Competitive world consisting launches, mergers, acquisitions, partnerships joint projects new products. Complete coverage product market segments pattern evaluation, global market innovation, market size forecast 2025. Comprehensive review companies operate products global market. The companys profile involves analysis product portfolio, sales analysis, SWOT analysis latest developments sector. Growth Matrix offers brand segment geography analysis focused investing, consolidating, growing andor diversifying market players. Comprehensive parent market analysis Major changes dynamics market Details market segmentation Former, current expected study size price industry Evaluation innovations niche industry Analysis market share Major Players main strategies Segment emerging regional markets Testimonials companies improve market presence. Thats right. For classify estimate tangible business factors, BottomUp TopDown methods analyzed. In addition, results study based facetoface telephone interviews Industry Expert Panel. In order validate detailed balanced industry analysis, panelists approached Leading Industries value chain including producers, distributors, service providers, business experts consumers. Table Contents: 1 Global Market Overview 1.1 Scope Statistics 1.1.1 Scope Products 1.1.2 Scope Manufacturers 1.1.3 Scope EndUse 1.1.4 Scope Product Type 1.1.5 Scope RegionsCountries 1.2 Global Market Size Fig Global WEARABLE AI Market Size CAGR 20152019 Million USD Fig Global WEARABLE AI Market Size CAGR 20152019 Volume Fig Global WEARABLE AI Market Forecast CAGR 20202025 Million USD Fig Global WEARABLE AI Market Forecast CAGR 20202025 Volume 2 Regional Market 2.1 Regional Sales Tab Regional Sales Revenue 20152019 Million USD Tab Regional Sales Volume 20152019 Volume 2.2 Regional Demand Tab Regional Demand CAGR List 20152019 Million USD Enquire For Customization In Report: The report offers restraints help tackle obstacles businesses tremendous growth. Through report, consumers easily views WEARABLE AI Market based current scenario. About Precision Market Reports PMR: Precision Market Reports provides quantified B2B research 25,000 highgrowth niche opportunities threats impact 50 75 percent global company revenues. Actively representing 5000 customers worldwide, including 50 percent Fortune 500 global businesses clients. Almost 25,000 officials industries worldwide approach Precision Market Reports pain points revenue decisions. Our reports provide rare combination concrete perspectives qualitative research help businesses attain sustainable growth. Our team experienced analysts consultants use industryleading research tools techniques compile extensive, interspersed relevant data, market studies. Precision Business Reports provide objective insight reliable data, helping companies sizes timely decisions. We tailor creative solutions customers help address problems distinct business. Our aim empower customers holistic market intelligence, giving granular overview market operate. : Mr.Brian Smith Precision Market Reports 169, Elisenthal, North Rhine Westphalia, Rhehin Sieg Kreis, Windeck, Hohnrath, Germany, DE 51570. Phone:1 845 3770269 Website: Email:[emailprotected][emailprotected] Tags Coronavirus, COVID19, Wearable AI Market, Wearable AI Market Analysis, Wearable AI Market Forecast, WEARABLE AI Market Industry, WEARABLE AI Market Market, WEARABLE AI Market Overview, WEARABLE AI Market Price, WEARABLE AI Market Research Analysis, Wearable AI Market Share, Wearable AI Market Trends Germanium Wafer Ge Wafer Market Impact COVID19 Top Growing Companies: American Elements,5N Plus,Semiconductor Wafer,Umicore,VY Optoelectronics,PAMXIAMEN,Wafer World Global Personal Finance Services Market Growth 2020 Growing Strategies, Industry Segmentation Forecast 2025 for: Recent Posts Global Asia Pacific Casein Glycomacropeptide Market Research Report 2020 CoronaVirus Efect Industry Companies, Arla Foods Ingredients, Agropur Ingredients, S A Pharmachem, Vitaflo Global Europe Organic 2 Milk Market Status Report COVID 19 Impact Analysis EditionArla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley Global Organic Fat free Milk Market Report 2020 COVID 19 Impact Analysis Edition Top Players lude, Arla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley A Quantitative SWOT analysis Content Services Platform Market 2020 major key companies profiled like Alfresco Software, Box, GRM Information Management, Hyland Software, Laserfiche Global Asia Pacific Organic Whole Milk Market Research Report 2020 CoronaVirus Efect Industry Companies, Arla Food, Horizon Organic, Organic Valley, Emmi, Yeo Valley Global Europe Veterinary Urine Analyzers Market Status Report COVID 19 Impact Analysis EditionArkray, BPC BioSed, Idexx Laboratories, URIT Medical Electronic, Abaxis Global Construction Repaint Market Report 2020 COVID 19 Impact Analysis Edition Top Players lude, Arkema, Solvay, Nuplex Industries Limited, BASF, Covestro NATIVE BACTERIAL ANTIGENS Market 20202025 Top Key Players: The Native Antigen Company QED Bioscience SERION Immunologics Creative Diagnostics Jena Bioscience GmbH Microbix Biosystems AROTEC Diagnostics Enzo Life Sciences BioRad Laboratories Ross Southern Laboratories Cloud Office Migration Tool Market SWOT Analysis Key Growth Methodologies By 2026 major key companies profiled like vePoint, , BitTitan, Proventeq Limited, Quadrotech Solutions Polyvinylidene Fluoride Powder Market Survey Report 2020 Arkema, Solvay, Dongyue, 3F, Kureha MenuNews Market Sales Industry Analysis Market Size Market Report Market Outlook Industry Growth 2020 Jewish Market Reports Powered WordPress To Up
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https://thinkcuriouser.com/finance/804251/global-commerce-artificial-intelligence-market-2020-2025-covid-19-impact-analysis-with-top-manufacturers-huawei-technologies-soundhound-samsung-nvidia-corporation-apple-etc/
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Global Commerce Artificial Intelligence Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. – The Think Curiouser
Global Commerce Artificial Intelligence Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. – The Think Curiouser Skip to the content Search The Think Curiouser Menu Space Energy News Finance Contact Search Search for: Close search Close Menu Space Energy News Finance Contact Categories Energy Finance News Global Commerce Artificial Intelligence Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. Post author By anita_adroit Post date November 19, 2020 “This crucial research report “Global Commerce Artificial Intelligence Market” compiled by Orbis Research is an in-depth and crucial extensive market presentation presented meticulously to derive optimum understanding on market developments as well as the growth factors, dynamics, in the form of growth drivers, restraints, threats, challenges and the like that have a thumping catalytic impact on onward growth trail of global Commerce Artificial Intelligence market. According to meticulous primary and secondary research endeavors on the part of our in-house research experts at Orbis Research, the global Commerce Artificial Intelligence market is poised to trigger remunerative growth, ticking a total growth of xx million USD in 2020 and is further likely to amplify growth through the forecast tenure, witnessing over xx million USD by 2025. Rigorous research suggests that the global Commerce Artificial Intelligence market shall maintain a lucrative growth trail in the coming years, clocking a robust CAGR of xx% through 2020-2025. >>>Get Free PDF Sample: https://www.orbisresearch.com/contacts/request-sample/4711153?utm_source=BirG About Manufacturers: •This elaborate research report through its in-depth market analysis practices is aiming at offering report readers with accurate, market specific synopsis of the industry, evaluating it across dynamics and touch point analysis. •This systematically compiled Commerce Artificial Intelligence market report by Orbis Research also serves as a requisite guide various classifications, industry chain review, dynamic applications, besides harping largely on overall competitive scenario. •In the subsequent sections of Commerce Artificial Intelligence market report, readers are guided with demonstrative details on crucial market elements including a detailed outlook of leading market participants and stake holders, their growth objectives in terms of both long and short-term corporate goals, a thorough appraisal of their pre-emptive business moves, remunerative business strategies as well as investment details Top Leading Companies Profiled in Commerce Artificial Intelligence Market: Huawei Technologies SoundHound SAMSUNG NVIDIA Corporation Apple Qualcomm Technologies AIBrain Microsoft ANKI MediaTek Alphabet This latest research report cum survey initiated and presented by Orbis Research has been compiled after mindful brainstorming, in-depth research initiatives and elaborate primary research endeavours undertaken by in-house research experts who engaged in one-to-one communication straight with market players across diverse industries across geographies, thereby coming up with this elaborate market research handbook to encourage tactical business discretion amidst staggering competition. >>>Purchase Report: https://www.orbisresearch.com/contact/purchase-single-user/4711153?utm_source=BirG This report on global Commerce Artificial Intelligence market further illustrates classified information pertaining to regional overview and country specific developments. QY Researchers have undertaken dedicated efforts in gauging into detailed growth overview across multiple regions, besides also proceeding into finding out country-specific developments and advances that continue to shape end-use preferences, buying decisions as well as concomitant country developments that channelize appropriate manufacturing activities and promotional investments. Global Commerce Artificial Intelligence Market Segmented by Product Type Deep Learning Machine Learning Natural Language Processing Global Commerce Artificial Intelligence Market Segmented by Application Customer Relationship Management Internet of Things (IoT) Supply Chain Analysis Warehouse Automation Ecommerce Marketing Global Commerce Artificial Intelligence Market: Segmentation •To evoke resilient market specific growth factors that constantly shape growth prospects in global Commerce Artificial Intelligence market, this ardent research report by Orbis Research sheds light on market segmentation based on which this research presentation aims to equip report readers with versatile understanding about potential market segments that encourage sustainable revenue generation despite stringent competition. •The report segregates the market into various segments such as type and application that continue to remain prominent growth influencers in global Commerce Artificial Intelligence market. •This fragment of the report presents in-depth analysis and detailed overview of the market that remain crucial decision influencers, enabling steady and robust growth global Commerce Artificial Intelligence market. >>>Ask Our Industry Expert: https://www.orbisresearch.com/contacts/enquiry-before-buying/4711153?utm_source=BirG Table of Content: Market Overview: The report begins with this section where product overview and highlights of product and application segments of the global Commerce Artificial Intelligence Market are provided. Highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product. Competition by Company: Here, the competition in the Worldwide Commerce Artificial Intelligence Market is analyzed, By price, revenue, sales, and market share by company, market rate, competitive situations Landscape, and latest trends, merger, expansion, acquisition, and market shares of top companies. Company Profiles and Sales Data: As the name suggests, this section gives the sales data of key players of the global Commerce Artificial Intelligence Market as well as some useful information on their business. It talks about the gross margin, price, revenue, products, and their specifications, type, applications, competitors, manufacturing base, and the main business of key players operating in the global Commerce Artificial Intelligence Market. Market Status and Outlook by Region: In this section, the report discusses about gross margin, sales, revenue, production, market share, CAGR, and market size by region. Here, the global Commerce Artificial Intelligence Market is deeply analyzed on the basis of regions and countries such as North America, Europe, China, India, Japan, and the MEA. Application or End User: This section of the research study shows how different end-user/application segments contribute to the global Commerce Artificial Intelligence Market. Market Forecast: Here, the report offers a complete forecast of the global Commerce Artificial Intelligence Market by product, application, and region. It also offers global sales and revenue forecast for all years of the forecast period. Research Findings and Conclusion: This is one of the last sections of the report where the findings of the analysts and the conclusion of the research study are provided. About Us: Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients. Contact Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155 ” ← Textura Tray Market (Covid-19 Updated) 2020 to Witness Excellent Long-Term Growth Outlook → US$4.21 Bn of Revenue Profit to Seen by Track and Trace Solutions Market during 2019-2024| OPTEL Group, Mettler-Toledo International Inc, Systech International Inc and more. Space Energy News Finance Contact Search for: Recent Posts Auto Draft Global Cloud Data Lake Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Amazon Web Services, Zaloni, Cloudera, Informatica, Microsoft etc. US$4.21 Bn of Revenue Profit to Seen by Track and Trace Solutions Market during 2019-2024| OPTEL Group, Mettler-Toledo International Inc, Systech International Inc and more. Global Commerce Artificial Intelligence Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. Textura Tray Market (Covid-19 Updated) 2020 to Witness Excellent Long-Term Growth Outlook © 2020 The Think Curiouser Powered by WordPress To the top ↑ Up ↑
Global Commerce Artificial Intelligence Market 2020-2025 Covid-19 Impact Analysis with Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc.
Global Commerce Artificial Intelligence Market 20202025 Covid19 Impact Analysis Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Energy Finance News Global Commerce Artificial Intelligence Market 20202025 Covid19 Impact Analysis Top Manufacturers Huawei Technologies, SoundHound, SAMSUNG, NVIDIA Corporation, Apple etc. Post author By anita_adroit Post date November 19, 2020 This crucial research report Global Commerce Artificial Intelligence Market compiled Orbis Research indepth crucial extensive market presentation presented meticulously derive optimum understanding market developments growth factors, dynamics, form growth drivers, restraints, threats, challenges like thumping catalytic impact onward growth trail global Commerce Artificial Intelligence market. According meticulous primary secondary research endeavors inhouse research experts Orbis Research, global Commerce Artificial Intelligence market poised trigger remunerative growth, ticking total growth xx million USD 2020 likely amplify growth forecast tenure, witnessing xx million USD 2025. Rigorous research suggests global Commerce Artificial Intelligence market shall maintain lucrative growth trail coming years, clocking robust CAGR xx 20202025. >>>Get Free PDF Sample: About Manufacturers: This elaborate research report indepth market analysis practices aiming offering report readers accurate, market specific synopsis industry, evaluating dynamics touch point analysis. This systematically compiled Commerce Artificial Intelligence market report Orbis Research serves requisite guide classifications, industry chain review, dynamic applications, harping largely overall competitive scenario. In subsequent sections Commerce Artificial Intelligence market report, readers guided demonstrative details crucial market elements including detailed outlook leading market participants stake holders, growth objectives terms long shortterm corporate goals, thorough appraisal preemptive business moves, remunerative business strategies investment details Top Leading Companies Profiled Commerce Artificial Intelligence Market: Huawei Technologies SoundHound SAMSUNG NVIDIA Corporation Apple Qualcomm Technologies AIBrain Microsoft ANKI MediaTek Alphabet This latest research report cum survey initiated presented Orbis Research compiled mindful brainstorming, indepth research initiatives elaborate primary research endeavours undertaken inhouse research experts engaged onetoone communication straight market players diverse industries geographies, coming elaborate market research handbook encourage tactical business discretion amidst staggering competition. >>>Purchase Report: This report global Commerce Artificial Intelligence market illustrates classified information pertaining regional overview country specific developments. QY Researchers undertaken dedicated efforts gauging detailed growth overview multiple regions, proceeding finding countryspecific developments advances continue shape enduse preferences, buying decisions concomitant country developments channelize appropriate manufacturing activities promotional investments. Global Commerce Artificial Intelligence Market Segmented Product Type Deep Learning Machine Learning Natural Language Processing Global Commerce Artificial Intelligence Market Segmented Application Customer Relationship Management Internet Things IoT Supply Chain Analysis Warehouse Automation Ecommerce Marketing Global Commerce Artificial Intelligence Market: Segmentation To evoke resilient market specific growth factors constantly shape growth prospects global Commerce Artificial Intelligence market, ardent research report Orbis Research sheds light market segmentation based research presentation aims equip report readers versatile understanding potential market segments encourage sustainable revenue generation despite stringent competition. The report segregates market segments type application continue remain prominent growth influencers global Commerce Artificial Intelligence market. This fragment report presents indepth analysis detailed overview market remain crucial decision influencers, enabling steady robust growth global Commerce Artificial Intelligence market. >>>Ask Our Industry Expert: Table Content: Market Overview: The report begins section product overview highlights product application segments global Commerce Artificial Intelligence Market provided. Highlights segmentation study include price, revenue, sales, sales growth rate, market share product. Competition Company: Here, competition Worldwide Commerce Artificial Intelligence Market analyzed, By price, revenue, sales, market share company, market rate, competitive situations Landscape, latest trends, merger, expansion, acquisition, market shares companies. Company Profiles Sales Data: As suggests, section gives sales data key players global Commerce Artificial Intelligence Market useful information business. It talks gross margin, price, revenue, products, specifications, type, applications, competitors, manufacturing base, main business key players operating global Commerce Artificial Intelligence Market. Market Status Outlook Region: In section, report discusses gross margin, sales, revenue, production, market share, CAGR, market size region. Here, global Commerce Artificial Intelligence Market deeply analyzed basis regions countries North America, Europe, China, India, Japan, MEA. Application End User: This section research study shows different enduserapplication segments contribute global Commerce Artificial Intelligence Market. Market Forecast: Here, report offers complete forecast global Commerce Artificial Intelligence Market product, application, region. It offers global sales revenue forecast years forecast period. Research Findings Conclusion: This sections report findings analysts conclusion research study provided. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Textura Tray Market Covid19 Updated 2020 Witness Excellent LongTerm Growth Outlook US4.21 Bn Revenue Profit Seen Track Trace Solutions Market 20192024 OPTEL Group, MettlerToledo International , Systech International more. 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Global Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026 | Covering Products, Financial Information, Developments by Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard – re:Jerusalem
Global Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026 | Covering Products, Financial Information, Developments by Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard – re:Jerusalem Thursday, October 29 2020 Trending COVID-19 Impact on Global Medium Format Cameras Market Study By Contax, Mamiya, Pentax, Fujifilm, Yashica, Bronica, Holga, KODAK E-Coat Market 2020 Will Grow at CAGR of 4.40%: Industry Dynamics, Segment Analysis and CAGR Growth Analysis Research Report to 2027|Global Industry Players- Axalta Coating Systems, LLC, PPG Industries, Inc., BASF SE, Nippon Paint Holdings Co., Valspar COVID-19 Impact on Global M2M SIM Cards Market Study By Gemalto, IDEMIA, VALID, Eastcompeace, Datang, Kona I, DZ Card Automotive Paints Market In-Depth Insights, Growth and Forecast 2026 Non-military Riflescope Market, Key Players – Bushnell, Nightforce, Nikon,  Growth, Size, Production, Shares, Import – Export Forecast, from  2020 to 2027 COVID-19 Impact on Global Amateur Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis Container Ship Cargo Ships Market Growth, Industry Analysis, Trends and Forecast – 2020 to 2025 Global Technical Gelatin Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 Greenhouse Film Market 2020 Will Globally Grow at CAGR of 11.1%: Business Planning Research and Resources, Revenue, and Forecasts 2027|Leading Players- Ginegar Plastic Products Ltd., PLASTIKA KRITIS S.A., POLIFILM, RKW Group, Essen Multipack Global Ticket Printers Market Dynamics Analysis, Production, Supply and Demand, Covered in the Latest Research 2020-2025 Sidebar Log In Random Article re:Jerusalem Business Health Industries International LIfestyle Sci-Tech Sports Contact / Publish PRs Home/Business/Global Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026 | Covering Products, Financial Information, Developments by Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard Business Global Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026 | Covering Products, Financial Information, Developments by Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard Global Cardiology Surgical and Interventional Cardiology Devices Market report focuses on global major leading industry players providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. pratik October 29, 2020 The most likely scenario is that the global Cardiology Surgical and Interventional Cardiology Devices Market sales are going to be xx in 2020 from Cardiology Surgical and Interventional Cardiology Devices million in 2019, with a modification xx between 2019 and 2020. additionally, supported the most recent study, it’s to predict that the Covid-19 are going to be in restraint in key countries just like the u. s., Western Europe, East Asia. the world Cardiology Surgical and Interventional Cardiology Devices market size is predicted to grow at xx or additional annually for following 5 years. Access Free Sample Copy of Cardiology Surgical and Interventional Cardiology Devices Market Report 2020: https://calibreresearch.com/report/covid19-impact-cardiology-surgical-interventional-devices-market-23007#request-sample For the forecast period 2020-2026, the Cardiology Surgical and Interventional Cardiology Devices Market growth among segments give correct calculations and forecasts for sales by kind and by Application in terms of volume and worth. This analysis will assist you expand your business by targeting qualified niche markets. Regional analysis is another extremely comprehensive a part of the analysis and analysis study of the world Cardiology Surgical and Interventional Cardiology Devices market given within the report. This section sheds light-weight on the sales growth of various regional and country-level Cardiology Surgical and Interventional Cardiology Devices markets. For the historical and forecast amount 2020 to 2026, it provides elaborate and correct country-wise volume analysis and region-wise market size analysis of the world Cardiology Surgical and Interventional Cardiology Devices market. NOTE: Our reports include the analysis of the impact of COVID-19 on this industry. Our new sample is updated which correspond in new report showing impact of Covid-19 on Industry trends. Also we are offering 20% discount Global Cardiology Surgical and Interventional Cardiology Devices Market Insights, Forecast to 2026 research report delivers an in depth watch on leading competitors with strategic analysis, small and macro market trend and situations, rating analysis and a holistic summary of the market things within the forecast amount. Do You Have Any Query or Specific Requirement? Ask to Our Industry Expert https://calibreresearch.com/report/covid19-impact-cardiology-surgical-interventional-devices-market-23007#inquiry-for-buying Major Market Players indulged in this report are: Abbott Cardiovascular Biosense Webster Boston Scientific C.R. Bard Cook Medical Covidien Edwards Lifescience Johnson & Johnson Medtronic Plc Medical Systems St. Jude Medical Cardiology Surgical and Interventional Cardiology Devices Market 2020 Segments by Product Types: Open-Heart Surgery Off-Pump Heart Surgery Minimally Invasive Heart Surgery The Application of the World Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026 as follows: Hospitals and Clinics Others According to world Cardiology Surgical and Interventional Cardiology Devices marketing research, supported kind, applications. The Cardiology Surgical and Interventional Cardiology Devices section is predicted to account for the most important market share, and it’s conjointly projected to register the very best rate of growth. The report analyses the world Cardiology Surgical and Interventional Cardiology Devices market supported marketing as on-line and offline channels. Offline marketing is emerged because the major section attributable to increasing variety of retail stores globally, that area unit providing all sorts product looking on client preference. Moreover, the shoppers area unit shopping for the product from retail channels simply be choosing the product supported their selection. Primary analysis entails telecom interviews with quite few business consultants on acceptance of appointment for conducting telecom interviews, causation questionnaires by e-mail interactions, and in some things face-to-face interactions for a further elaborate and unbiased analysis on the Cardiology Surgical and Interventional Cardiology Devices Market , for the duration of in quite few geographies. Interviews area unit generally administered on AN in progress study with Cardiology Surgical and Interventional Cardiology Devices trade consultants on the way to induce the foremost recent understandings of the market and demonstrate the prevailing analysis of the study. Primary interviews give data on obligatory factors like Cardiology Surgical and Interventional Cardiology Devices market developments, market size, competitive landscape, progress developments, outlook, then forth. These factors facilitate to demonstrate aboard reinforcing the secondary analysis findings and conjointly as facilitate to develop our skilled teams’ understanding of the Cardiology Surgical and Interventional Cardiology Devices market. Checkout FREE Report Sample of Cardiology Surgical and Interventional Cardiology Devices Market Report 2020-2026 for Better Understanding: https://calibreresearch.com/report/covid19-impact-cardiology-surgical-interventional-devices-market-23007#request-sample The secondary analysis contains sources very similar to press releases, firm annual reviews, and journals associated with the trade. totally different sources embody trade magazines, commerce journals, government internet sites, and associations that were reviewed for gathering precise information on opportunities for enterprise expansions in Cardiology Surgical and Interventional Cardiology Devices Market . It is knowledgeable and a close report that specialize in primary and secondary drivers, Cardiology Surgical and Interventional Cardiology Devices market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions at the side of trending innovation and business policies area unit reviewed within the Cardiology Surgical and Interventional Cardiology Devices Market report. The report contains basic, secondary and advanced data referring to the world Cardiology Surgical and Interventional Cardiology Devices Market Insights, Forecast to 2026 Market world standing and trend, market size, share, growth, trends analysis, section and forecasts from 2020–2026. TagsCardiology Surgical and Interventional Cardiology Devices Market Price Futures 2020-2026 Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print pratik Related Articles October 9, 2020 11 Impact of Covid-19 on Residential Digital Faucets Market- Comprehensive Study By Key Players: LIXIL Group, Masco, Oras Oy, CANAC, Kohler, TOTO, etc October 12, 2020 3 Racquet Overgrip Market Report 2020 – Competitive Landscape Prediction And Industry Statistics Analysis: Babolat, Dunlop, Gamma, HEAD, Luxilon, etc October 22, 2020 13 Global Tuberculin Market (2020-2026) | Latest COVID19 Impact Analysis | Know About Brand Players: Sanofi Pasteur Inc, Par Pharmaceutica/JHP Pharmaceuticals, Zoetis, Beijing Sanroad Biological Products, Beijing Zhilan Biotech, etc. October 28, 2020 4 Plant Extracts Industry: Global Market Trend, Share, Profit, Growth and Key Manufacturers Analysis Report Check Also Close Global Linear Guideway Market 2020 With Covid-19 Pandemic Analysis, Growth Rate And Forecast 2020-2026: : THK (JP), HIWIN (TW), NSK (JP), Bosch Rexroth (DE), IKO (JP) October 9, 2020 Recent Posts October 29, 2020 COVID-19 Impact on Global Bridge Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis, Vibe October 29, 2020 COVID-19 Impact on Global Medium Format Cameras Market Study By Contax, Mamiya, Pentax, Fujifilm, Yashica, Bronica, Holga, KODAK October 29, 2020 COVID-19 Impact on Global M2M SIM Cards Market Study By Gemalto, IDEMIA, VALID, Eastcompeace, Datang, Kona I, DZ Card October 29, 2020 COVID-19 Impact on Global Amateur Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis October 29, 2020 Global Technical Gelatin Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Calf Implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Butt implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Chin Implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Biometrics Locks Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Automatic Transfer Switch Controller Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 October 29, 2020 Global Manufacturing Software Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates and Forecasts to 2026 Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? 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Global Cardiology Surgical and Interventional Cardiology Devices Market 2020-2026
Global Cardiology Surgical Interventional Cardiology Devices Market 20202026 Covering Products, Financial Information, Developments Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard re:Jerusalem Thursday, October 29 2020 Trending COVID19 Impact Global Medium Format Cameras Market Study By Contax, Mamiya, Pentax, Fujifilm, Yashica, Bronica, Holga, KODAK ECoat Market 2020 Will Grow CAGR 4.40: Industry Dynamics, Segment Analysis CAGR Growth Analysis Research Report 2027Global Industry Players Axalta Coating Systems, LLC, PPG Industries, ., BASF SE, Nippon Paint Holdings Co., Valspar COVID19 Impact Global M2M SIM Cards Market Study By Gemalto, IDEMIA, VALID, Eastcompeace, Datang, Kona I, DZ Card Automotive Paints Market InDepth Insights, Growth Forecast 2026 Nonmilitary Riflescope Market, Key Players Bushnell, Nightforce, Nikon, Growth, Size, Production, Shares, Import Export Forecast, 2020 2027 COVID19 Impact Global Amateur Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis Container Ship Cargo Ships Market Growth, Industry Analysis, Trends Forecast 2020 2025 Global Technical Gelatin Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 Greenhouse Film Market 2020 Will Globally Grow CAGR 11.1: Business Planning Research Resources, Revenue, Forecasts 2027Leading Players Ginegar Plastic Products Ltd., PLASTIKA KRITIS S.A., POLIFILM, RKW Group, Essen Multipack Global Ticket Printers Market Dynamics Analysis, Production, Supply Demand, Covered Latest Research 20202025 Sidebar Log In Random Article re:Jerusalem Business Health Industries International LIfestyle SciTech Sports Publish PRs HomeBusinessGlobal Cardiology Surgical Interventional Cardiology Devices Market 20202026 Covering Products, Financial Information, Developments Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard Business Global Cardiology Surgical Interventional Cardiology Devices Market 20202026 Covering Products, Financial Information, Developments Abbott Cardiovascular, Biosense Webster, Boston Scientific, C.R. Bard Global Cardiology Surgical Interventional Cardiology Devices Market report focuses global major leading industry players providing information company profiles, product picture specification, capacity, production, price, cost, revenue contact information. pratik October 29, 2020 The likely scenario global Cardiology Surgical Interventional Cardiology Devices Market sales going xx 2020 Cardiology Surgical Interventional Cardiology Devices million 2019, modification xx 2019 2020. additionally, supported recent study, predict Covid19 going restraint key countries like u. s., Western Europe, East Asia. world Cardiology Surgical Interventional Cardiology Devices market size predicted grow xx additional annually following 5 years. Access Free Sample Copy Cardiology Surgical Interventional Cardiology Devices Market Report 2020: For forecast period 20202026, Cardiology Surgical Interventional Cardiology Devices Market growth segments correct calculations forecasts sales kind Application terms volume worth. This analysis assist expand business targeting qualified niche markets. Regional analysis extremely comprehensive analysis analysis study world Cardiology Surgical Interventional Cardiology Devices market given report. This section sheds lightweight sales growth regional countrylevel Cardiology Surgical Interventional Cardiology Devices markets. For historical forecast 2020 2026, provides elaborate correct countrywise volume analysis regionwise market size analysis world Cardiology Surgical Interventional Cardiology Devices market. NOTE: Our reports include analysis impact COVID19 industry. Our new sample updated correspond new report showing impact Covid19 Industry trends. Also offering 20 discount Global Cardiology Surgical Interventional Cardiology Devices Market Insights, Forecast 2026 research report delivers depth watch leading competitors strategic analysis, small macro market trend situations, rating analysis holistic summary market things forecast amount. Do You Have Any Query Specific Requirement? Ask Our Industry Expert Major Market Players indulged report are: Abbott Cardiovascular Biosense Webster Boston Scientific C.R. Bard Cook Medical Covidien Edwards Lifescience Johnson Johnson Medtronic Plc Medical Systems St. Jude Medical Cardiology Surgical Interventional Cardiology Devices Market 2020 Segments Product Types: OpenHeart Surgery OffPump Heart Surgery Minimally Invasive Heart Surgery The Application World Cardiology Surgical Interventional Cardiology Devices Market 20202026 follows: Hospitals Clinics Others According world Cardiology Surgical Interventional Cardiology Devices marketing research, supported kind, applications. The Cardiology Surgical Interventional Cardiology Devices section predicted account important market share, conjointly projected register best rate growth. The report analyses world Cardiology Surgical Interventional Cardiology Devices market supported marketing online offline channels. Offline marketing emerged major section attributable increasing variety retail stores globally, area unit providing sorts product looking client preference. Moreover, shoppers area unit shopping product retail channels simply choosing product supported selection. Primary analysis entails telecom interviews business consultants acceptance appointment conducting telecom interviews, causation questionnaires email interactions, things facetoface interactions elaborate unbiased analysis Cardiology Surgical Interventional Cardiology Devices Market , duration geographies. Interviews area unit generally administered AN progress study Cardiology Surgical Interventional Cardiology Devices trade consultants way induce foremost recent understandings market demonstrate prevailing analysis study. Primary interviews data obligatory factors like Cardiology Surgical Interventional Cardiology Devices market developments, market size, competitive landscape, progress developments, outlook, forth. These factors facilitate demonstrate aboard reinforcing secondary analysis findings conjointly facilitate develop skilled teams understanding Cardiology Surgical Interventional Cardiology Devices market. Checkout FREE Report Sample Cardiology Surgical Interventional Cardiology Devices Market Report 20202026 Better Understanding: The secondary analysis contains sources similar press releases, firm annual reviews, journals associated trade. totally different sources embody trade magazines, commerce journals, government internet sites, associations reviewed gathering precise information opportunities enterprise expansions Cardiology Surgical Interventional Cardiology Devices Market . It knowledgeable close report specialize primary secondary drivers, Cardiology Surgical Interventional Cardiology Devices market share, leading segments geographical analysis. Further, key players, major collaborations, merger acquisitions trending innovation business policies area unit reviewed Cardiology Surgical Interventional Cardiology Devices Market report. The report contains basic, secondary advanced data referring world Cardiology Surgical Interventional Cardiology Devices Market Insights, Forecast 2026 Market world standing trend, market size, share, growth, trends analysis, section forecasts 20202026. TagsCardiology Surgical Interventional Cardiology Devices Market Price Futures 20202026 Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print pratik Related Articles October 9, 2020 11 Impact Covid19 Residential Digital Faucets Market Comprehensive Study By Key Players: LIXIL Group, Masco, Oras Oy, CANAC, Kohler, TOTO, October 12, 2020 3 Racquet Overgrip Market Report 2020 Competitive Landscape Prediction And Industry Statistics Analysis: Babolat, Dunlop, Gamma, HEAD, Luxilon, October 22, 2020 13 Global Tuberculin Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: Sanofi Pasteur , Par PharmaceuticaJHP Pharmaceuticals, Zoetis, Beijing Sanroad Biological Products, Beijing Zhilan Biotech, etc. October 28, 2020 4 Plant Extracts Industry: Global Market Trend, Share, Profit, Growth Key Manufacturers Analysis Report Check Also Close Global Linear Guideway Market 2020 With Covid19 Pandemic Analysis, Growth Rate And Forecast 20202026: : THK JP, HIWIN TW, NSK JP, Bosch Rexroth DE, IKO JP October 9, 2020 Recent Posts October 29, 2020 COVID19 Impact Global Bridge Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis, Vibe October 29, 2020 COVID19 Impact Global Medium Format Cameras Market Study By Contax, Mamiya, Pentax, Fujifilm, Yashica, Bronica, Holga, KODAK October 29, 2020 COVID19 Impact Global M2M SIM Cards Market Study By Gemalto, IDEMIA, VALID, Eastcompeace, Datang, Kona I, DZ Card October 29, 2020 COVID19 Impact Global Amateur Cameras Market Study By Sony, Panasonic, Canon, Nikon, KODAK, LG, Oaxis October 29, 2020 Global Technical Gelatin Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Calf Implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Butt implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Chin Implants Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Biometrics Locks Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Automatic Transfer Switch Controller Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 October 29, 2020 Global Manufacturing Software Market 2020 Growth Strategy, Sales, Revenue, Economic Growth, Segments, Estimates Forecasts 2026 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://www.deccanherald.com/business/business-news/airtel-acquires-10-stake-in-artificial-intelligence-startup-voicezen-840347.html
2020-05-21T00:00:00
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Airtel acquires 10% stake in Artificial Intelligence startup Voicezen | Deccan Herald
Airtel acquires 10% stake in Artificial Intelligence startup Voicezen | Deccan Herald Home CoronavirusBengaluru Top Stories Crime Politics Infrastructure Life in the City Bengaluru 2040Karnataka Top Stories 20 in '20 Politics DistrictsNational Politics North and Central South East and Northeast West Sports Cricket Formula 1 with DH Football Tennis Sportscene Other SportsBusiness Budget 2020 Business News Family Finance Technology DH WheelsOpinion DH Views Editorials Panorama Comment In Perspective Right in the MiddleVideos Latest Videos Bengaluru Karnataka People Popular Features Metrolife Entertainment Travel Spectrum Sunday Herald Living DH EducationNewsletterGet the best of news in your inbox everyday GET IT SUPPORT DH JOURNALISM Thursday 21 May 2020updated: 7:45 pm ISTE-PaperClassifiedsBLR 32 ° C CloudsSensex: 30932.9+114.29Nifty: 9106.25+39.7 Home Coronavirus Bengaluru Top Stories Crime Politics Infrastructure Life in the City Bengaluru 2040 Karnataka Top Stories 20 in '20 Politics Districts National Politics North and Central South East and Northeast West Sports Cricket Formula 1 with DH Football Tennis Sportscene Other Sports Business Budget 2020 Business News Family Finance Technology DH Wheels World Opinion DH Views Editorials Panorama Comment In Perspective Right in the Middle Metrolife Your Bond With Bengaluru Cityscape On The Move Lifestyle Videos Latest Videos Bengaluru Karnataka People Popular Entertainment Entertainment News DH Showtime DH Talkies Arts, Books & Culture Specials Insight Point Blank Sunday Spotlight Travel Spectrum Top Stories Statescan Living Front Page Health 'n' Well-Being Fashion Folio Food Fiesta Sunday Herald SH Top Stories Entertainment Articulations Art & Culture Melange Books Photos Pics of the Day DH Galleries 70 Years of DH My Take Your Space DH Education E-Paper NewsletterIN BRIEF:Cong suspends rebel MLAAmphan shatters KolkataTune in to DH Pandemic PodcastRelief, fear in WuhanAAI issues SOP to airportsLockdown: Who bears the brunt?HomeBusinessBusiness NewsAirtel acquires 10% stake in AI startup Voicezen Airtel acquires 10% stake in AI startup VoicezenAirtel acquires 10% stake in Artificial Intelligence startup Voicezen XShare viaShare permalinkPTI, New Delhi, May 21 2020, 19:34 istupdated: May 21 2020, 19:34 istBharti Airtel has acquired 10 per cent stake in Gurgaon-based start-up Voicezen, which focusses on conversational artificial intelligence technologies, in an all-cash deal, the private operator said on Thursday.The stake purchase will give Bharti Airtel preferred access to Voicezen's technologies, which can be deployed across its customer touch points in multiple languages, Airtel said in a statement without disclosing the amount it paid for buying the stake.The acquisition has been made by the company under its fast expanding Airtel Startup Accelerator Programme, the company noted."AI is a big focus area for Airtel given the deep positive impact the technology can have in transforming customer experience. Voicezen has built some promising products that are very relevant for a market like India. We look forward to partnering them in scaling these innovative 'Made in India, for India' applications," Adarsh Nair, Chief Product Officer - Bharti Airtel said.Voicezen has been working on developing advanced solutions that leverage machine learning, AI, speech to text and voice technologies to offer real time analytics to help brands engage with customers.The global conversational AI market size is expected to grow from USD 4.2 billion in 2019 to USD 15.7 billion by 2024, according to a research report.The mega-trend will be driven by surging demand for AI powered customer support services and omni-channel deployment and increasing customer engagement through social media platforms and integration of advanced AI capabilities will offer massive opportunities, the statement said.The investment will give Airtel preferred access to Voicezen's technologies, which can be deployed across its customer touch points in multiple languages. These intelligent solutions will offer real time analytics and insights to make Airtel's conversations with its customers.Voicezen founder Apurba Nath said that the company has worked on AI solutions in the past and knows that what works well in a lab most often doesn't work in the real world, because either the training data is not large and relevant or the problem has little business significance."Our partnership with Airtel helps us solve these challenges. With this strategic investment, we will work even more closely with them to continuously improve our AI models and build out an enterprise-grade, battle-hardened product that will make customer interactions more efficient, especially in this post-COVID-19 world where business operations are facing large disruptions," Nath said.According to a BSE filing, Airtel acquired 10 per cent stake in the company in an all-cash transaction basis and the deal is expected to close by May 30.Deccan Herald News now on Telegram - Click here to subscribe DH Newsletter Privacy Policy Get top news in your inbox daily GET IT Bharti AirtelCoronavirus lockdownCoronavirusCOVID-19Artificial Intelligencemachine learning Related stories Pujas to be streamed live as K'taka temples remain... Queen's B'day Honours List delayed for COVID-19 heroes... 'India's COVID-19 death rate less than global figures'... Global coronavirus infections top 5 mn; Toll 328,000... Cannes rolls out drive-in cinema amid COVID-19 threat... '2 bar dancers create ruckus during quarantine; booked'... What's BrewingCOVID-19: Migrant children battle heat, hungeIndia must lower tariffs to lure firms leave China: USDelhi reports 500+ cases for third consecutive dayBengal reeling with devastation as Amphan hits stateIs militancy making a comeback to Srinagar?  DH Picks Coronavirus news live updates: With 776 new COVID-19 cases... Live 'UP govt putting in jail those helping migrants'... Cyclone Amphan LIVE: Odisha CM conducts air survey, restoration... Live 'COVID-19 pandemic may cause long-term health problems' Amphan: 5 mn homes lose electricity in India, B'desh...What's BrewingCOVID-19: Migrant children battle heat, hungeIndia must lower tariffs to lure firms leave China: USDelhi reports 500+ cases for third consecutive dayBengal reeling with devastation as Amphan hits stateIs militancy making a comeback to Srinagar? What does your star sign say?Explore   National PoliticsNorth and CentralSouthEast and NortheastWest Karnataka Top StoriesPoliticsDistricts Bengaluru Top StoriesBengaluru CrimePoliticsInfrastructureLife in the City Sports CricketFormula 1 with DHFootballTennisSportsceneOther Sports Business Business NewsFamily FinanceTechnologyDH WheelsMultimediaVideosPhotos Opinion DH ViewsEditorialsPanoramaCommentIn PerspectiveRight in the Middle Entertainment Entertainment NewsDH ShowtimeDH TalkiesArts, Books & CultureCoronavirus Live UpdatesSubscribe to DH on TelegramAmphan cyclone live updatesDeccan Herald E-paper: May 21WATCH | Coronavirus latest updatesCoronavirus OutbreakDH Picks Coronavirus news live updates: With 776 new COVID-19 cases in Tamil Nadu; India's tally tops 1.14 lakh 'UP govt putting in jail those helping migrants' Cyclone Amphan LIVE: Odisha CM conducts air survey, restoration underway in WB as cyclone weakens to deep depression 'COVID-19 pandemic may cause long-term health problems' Amphan: 5 mn homes lose electricity in India, B'deshLatest stories Pujas to be streamed live as K'taka temples remain shut Maha wants 2,092 villages included in eco-zone Queen's B'day Honours List delayed for COVID-19 heroes 'India's COVID-19 death rate less than global figures' Airtel acquires 10% stake in AI startup VoicezenTrending news Tremors felt, loud noise heard in parts of Bengaluru Teachers quit e-classrooms due to parent 'bullying' Bengaluru schools set to reopen with safety measures AAI asks passengers to download Aarogya Setu The funeral of human decencyServices About Epaper Newsletter Archives Sitemap Classifieds ContactOur group sites Printers Mysore Prajavani Sudha Mayura Privacy Policy Terms Disclaimer © 2020 The Printers (Mysore) Private Ltd. 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Airtel acquires 10% stake in Artificial Intelligence startup Voicezen
Airtel acquires 10 stake Artificial Intelligence startup Voicezen Deccan Herald Home CoronavirusBengaluru Top Stories Crime Politics Infrastructure Life City Bengaluru 2040Karnataka Top Stories 20 20 Politics DistrictsNational Politics North Central South East Northeast West Sports Cricket Formula 1 DH Football Tennis Sportscene Other SportsBusiness Budget 2020 Business News Family Finance Technology DH WheelsOpinion DH Views Editorials Panorama Comment In Perspective Right MiddleVideos Latest Videos Bengaluru Karnataka People Popular Features Metrolife Entertainment Travel Spectrum Sunday Herald Living DH EducationNewsletterGet best news inbox everyday GET IT SUPPORT DH JOURNALISM Thursday 21 May 2020updated: 7:45 pm ISTEPaperClassifiedsBLR 32 C CloudsSensex: 30932.9114.29Nifty: 9106.2539.7 Home Coronavirus Bengaluru Top Stories Crime Politics Infrastructure Life City Bengaluru 2040 Karnataka Top Stories 20 20 Politics Districts National Politics North Central South East Northeast West Sports Cricket Formula 1 DH Football Tennis Sportscene Other Sports Business Budget 2020 Business News Family Finance Technology DH Wheels World Opinion DH Views Editorials Panorama Comment In Perspective Right Middle Metrolife Your Bond With Bengaluru Cityscape On The Move Lifestyle Videos Latest Videos Bengaluru Karnataka People Popular Entertainment Entertainment News DH Showtime DH Talkies Arts, Books Culture Specials Insight Point Blank Sunday Spotlight Travel Spectrum Top Stories Statescan Living Front Page Health n WellBeing Fashion Folio Food Fiesta Sunday Herald SH Top Stories Entertainment Articulations Art Culture Melange Books Photos Pics Day DH Galleries 70 Years DH My Take Your Space DH Education EPaper NewsletterIN BRIEF:Cong suspends rebel MLAAmphan shatters KolkataTune DH Pandemic PodcastRelief, fear WuhanAAI issues SOP airportsLockdown: Who bears brunt?HomeBusinessBusiness NewsAirtel acquires 10 stake AI startup Voicezen Airtel acquires 10 stake AI startup VoicezenAirtel acquires 10 stake Artificial Intelligence startup Voicezen XShare viaShare permalinkPTI, New Delhi, May 21 2020, 19:34 istupdated: May 21 2020, 19:34 istBharti Airtel acquired 10 cent stake Gurgaonbased startup Voicezen, focusses conversational artificial intelligence technologies, allcash deal, private operator said Thursday.The stake purchase Bharti Airtel preferred access Voicezens technologies, deployed customer touch points multiple languages, Airtel said statement disclosing paid buying stake.The acquisition company fast expanding Airtel Startup Accelerator Programme, company noted.AI big focus area Airtel given deep positive impact technology transforming customer experience. Voicezen built promising products relevant market like India. We look forward partnering scaling innovative Made India, India applications, Adarsh Nair, Chief Product Officer Bharti Airtel said.Voicezen working developing advanced solutions leverage machine learning, AI, speech text voice technologies offer real time analytics help brands engage customers.The global conversational AI market size expected grow USD 4.2 billion 2019 USD 15.7 billion 2024, according research report.The megatrend driven surging demand AI powered customer support services omnichannel deployment increasing customer engagement social media platforms integration advanced AI capabilities offer massive opportunities, statement said.The investment Airtel preferred access Voicezens technologies, deployed customer touch points multiple languages. These intelligent solutions offer real time analytics insights Airtels conversations customers.Voicezen founder Apurba Nath said company worked AI solutions past knows works lab doesnt work real world, training data large relevant problem little business significance.Our partnership Airtel helps solve challenges. With strategic investment, work closely continuously improve AI models build enterprisegrade, battlehardened product customer interactions efficient, especially postCOVID19 world business operations facing large disruptions, Nath said.According BSE filing, Airtel acquired 10 cent stake company allcash transaction basis deal expected close May 30.Deccan Herald News Telegram Click subscribe DH Newsletter Get news inbox daily GET IT Bharti AirtelCoronavirus lockdownCoronavirusCOVID19Artificial Intelligencemachine learning Related stories Pujas streamed live Ktaka temples remain... Queens Bday Honours List delayed COVID19 heroes... Indias COVID19 death rate global figures... Global coronavirus infections 5 mn; Toll 328,000... Cannes rolls drivein cinema amid COVID19 threat... 2 bar dancers create ruckus quarantine; booked... Whats BrewingCOVID19: Migrant children battle heat, hungeIndia lower tariffs lure firms leave China: USDelhi reports 500 cases consecutive dayBengal reeling devastation Amphan hits stateIs militancy making comeback Srinagar? DH Picks Coronavirus news live updates: With 776 new COVID19 cases... Live UP govt putting jail helping migrants... Cyclone Amphan LIVE: Odisha CM conducts air survey, restoration... Live COVID19 pandemic cause longterm health problems Amphan: 5 mn homes lose electricity India, Bdesh...Whats BrewingCOVID19: Migrant children battle heat, hungeIndia lower tariffs lure firms leave China: USDelhi reports 500 cases consecutive dayBengal reeling devastation Amphan hits stateIs militancy making comeback Srinagar? What star sign say?Explore National PoliticsNorth CentralSouthEast NortheastWest Karnataka Top StoriesPoliticsDistricts Bengaluru Top StoriesBengaluru CrimePoliticsInfrastructureLife City Sports CricketFormula 1 DHFootballTennisSportsceneOther Sports Business Business NewsFamily FinanceTechnologyDH WheelsMultimediaVideosPhotos Opinion DH ViewsEditorialsPanoramaCommentIn PerspectiveRight Middle Entertainment Entertainment NewsDH ShowtimeDH TalkiesArts, Books CultureCoronavirus Live Updates DH TelegramAmphan cyclone live updatesDeccan Herald Epaper: May 21WATCH Coronavirus latest updatesCoronavirus OutbreakDH Picks Coronavirus news live updates: With 776 new COVID19 cases Tamil Nadu; Indias tally tops 1.14 lakh UP govt putting jail helping migrants Cyclone Amphan LIVE: Odisha CM conducts air survey, restoration underway WB cyclone weakens deep depression COVID19 pandemic cause longterm health problems Amphan: 5 mn homes lose electricity India, BdeshLatest stories Pujas streamed live Ktaka temples remain shut Maha wants 2,092 villages included ecozone Queens Bday Honours List delayed COVID19 heroes Indias COVID19 death rate global figures Airtel acquires 10 stake AI startup VoicezenTrending news Tremors felt, loud noise heard parts Bengaluru Teachers quit eclassrooms parent bullying Bengaluru schools set reopen safety measures AAI asks passengers download Aarogya Setu The funeral human decencyServices About Epaper Newsletter Archives Sitemap Classifieds Our group sites Printers Mysore Prajavani Sudha Mayura Terms Disclaimer 2020 The Printers Mysore Private Ltd. XShare viaShare permalink We use cookies understand use site improve user experience. This includes personalising content advertising. By continuing use site, accept use cookies, revised . Learn I agree X We use cookies. Learn X Contribute Support Deccan Herald Digital journalism contribute
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https://marketreportobserver.com/2020/04/29/global-data-science-and-machine-learning-service-market-2019-expected-development-share-demand-and-study-of-key-players-research-predictions-2024/
2020-04-29T00:00:00
en
Global Data Science and Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024 – Market Reports Observer
Global Data Science and Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024 – Market Reports Observer Skip to content 488 E 11th Ave, Eugene, OR 97401, USA +1 541-687-2347 [email protected] Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Market Reports Observer NASA Space Launches Rockets Satellites About us Contact Global Data Science and Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024 Market Research Reports Global Data Science and Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024 by david in Uncategorized on April 29, 2020 0 Global Data Science and Machine Learning Service Market Research Report is an in-depth and a professional document 2019: A newly published market study by MRInsights.biz titled Global Data Science and Machine Learning Service Market, is built up with a step by step analysis from expert research. It contains wide-broadening valid evaluation for the client to identify future complicity and gauge the right execution. The report offers a close summary of the main driver, opportunities, challenges, current market trends and strategies impacting the global market. It projects the robust future growth of the Data Science and Machine Learning Service market using the analysis capabilities and knowledge integration with the relevant findings. It enables the user to study and find out the future insights and provides the analysis data to boost the business. DOWNLOAD FREE SAMPLE REPORT: https://www.mrinsights.biz/report-detail/193739/request-sample The report spots light on the different parameters like growth scenario, value chain study, distribution status, and market landscape scheme. While developing this report, its basic data, the basic parts responsible for the enthusiasm for its items and organizations were considered. Industry chain framework is highlighted further, offering an executive summary of market evolution. It splits the global Data Science and Machine Learning Service market based on product, segmentation, and regions. The history data 2014-2018 and forecast data 2019-2024 is studied. Geographical markets are covered separately within the report that includes a competitive analysis on their market performance in the base year as well as predictions for the forecast year from 2019 to 2024.  It also provides market size and forecast till 2024 for overall Data Science and Machine Learning Service market with respect to five major regions, namely; Americas (United States, Canada,  Brazil and Mexico) APAC (China, Japan, Korea, Southeast Asia, India, Australia) Europe (Germany, France, UK, Italy, Russia Spain) South America (Brazil, Argentina, Colombia etc.) Middle East and Africa (Egypt, South Africa, Israel, Turkey, GCC Countries) Key companies profiled in the market report are :  Mango Solutions Fico ZS DataScience.com Microsoft LatentView Analytics Google International Business Machine Bigml Amazon Web Services Hewlett-Packard Enterprise Development At&T The Report Includes The Following Aspects of Data Science and Machine Learning Service Market: Historical illustration: 2014 to 2019; Growth Estimation: 2019 to 2024. Recent trends, ideas, development, industry, threats, and perfect analysis of SWOT. Chain structure, upstream and downstream buyers, market volume and sales revenue. Development forecasts of the market: key products, geographies and leading divisions including applications. Competitor Examination: The ability of companies for top players and market drivers, production and continuity and probability. READ FULL REPORT: https://www.mrinsights.biz/report/global-data-science-and-machine-learning-service-market-193739.html There are 13 Chapters to deeply display the global Data Science and Machine Learning Service market. Chapter 1: Scope of the Report Chapter 2: Executive Summary Chapter 3: Global Data Science and Machine Learning Service by Manufacturers Chapter 4: Data Science and Machine Learning Service by Regions Chapter 5, 6, 7, 8 and 9: Americas,APAC,Europe,Middle East & Africa,Market Drivers, Challenges and Trends Chapter 10 and 11: Marketing, Distributors and Customer And Global Data Science and Machine Learning Service Market Forecast. Chapter 12 And 13 : Key Players Analysis, Research Findings and Conclusion. To help readers effectively plan their future strategies, the report provides a set of expert recommendations. It carries an array of tables and graphs besides qualitative analyses. The experts working on the report have successfully identified expected policy changes, industry news and developments, and trends and opportunities. The report segments the market to up to three levels and studies each of these in great detail. Further, you will also find key dimensions including gross proceeds, CAGR, cost organization, manufacturing ability, commercial analysis, and future growth trends. Customization of the Report:This report can be customized to meet the client’s requirements. Please connect with our sales team ([email protected]), who will ensure that you get a report that suits your needs [wp-rss-aggregator] Tags: Data Science and Machine Learning Service Market, Global Data Science and Machine Learning Service Market 2019, Global Data Science and Machine Learning Service Market Analysis, Global Data Science and Machine Learning Service Market Growth, Global Data Science and Machine Learning Service Market Share, Global Data Science and Machine Learning Service Market Trend Post navigation Previous: Previous post: Global Enterprise Integration Platform as a Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024Next: Next post: Global Luxury Home Bedding Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024 Search for: Latest News Aluminium Mining Market Revenue, Opportunity, Segment and Key Trends 2024 April 29, 2020 Hydrographic Equipment Market Revenue, Opportunity, Segment and Key Trends 2019 April 29, 2020 Syngas and Derivatives Market Revenue, Opportunity, Segment and Key Trends 2024 April 29, 2020 Dry Type Transformer Market Revenue, Opportunity, Segment and Key Trends 2019 April 29, 2020 Wind Power Market Revenue, Opportunity, Segment and Key Trends 2020 April 29, 2020 Synthetic Lubricant Market Revenue, Opportunity, Segment and Key Trends 2019 April 29, 2020 Leather Testing Machine Market to Witness High Demand During 2020-2024 with Top Key Players | Asian Test Equipments, Illinois Tool Works, Ektron Tek, etc. April 29, 2020 Global Smart Inhalers Market Future Demand, Market Analysis & Outlook to 2026|AstraZeneca; OPKO Health Inc.; AptarGroup, Inc.; H&T Presspart Manufacturing Ltd. and Sensirion AG Switzerland. 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Global Data Science and Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024
Global Data Science Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2024 Market Reports Observer Skip content 488 E 11th Ave, Eugene, OR 97401, USA 1 5416872347 [emailprotected] Market Reports Observer NASA Space Launches Rockets Satellites About Market Reports Observer NASA Space Launches Rockets Satellites About Global Data Science Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2024 Market Research Reports Global Data Science Machine Learning Service Market 2019: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2024 david Uncategorized April 29, 2020 0 GlobalData Science Machine Learning ServiceMarket Research Reportis indepth professional document 2019: A newly published market study byMRInsights.biztitledGlobalData Science Machine Learning ServiceMarket, built step step analysis expert research. It contains widebroadening valid evaluation client identify future complicity gauge right execution. The report offers close summary main driver, opportunities, challenges, current market trends strategies impacting global market. It projects robust future growth theData Science Machine Learning Servicemarket analysis capabilities knowledge integration relevant findings. It enables user study future insights provides analysis data boost business. DOWNLOAD FREE SAMPLE REPORT: The report spots light different parameters like growth scenario, value chain study, distribution status, market landscape scheme. While developing report, basic data, basic parts responsible enthusiasm items organizations considered. Industry chain framework highlighted further, offering executive summary market evolution. It splits globalData Science Machine Learning Servicemarket based product, segmentation, regions. The history data 20142018 forecast data 20192024 studied. Geographical markets covered separately report includes competitive analysis market performance base year predictions forecast year 2019 2024. It provides market size forecast till 2024 overallData Science Machine Learning Servicemarket respect major regions, namely; AmericasUnited States, Canada, Brazil Mexico APACChina, Japan, Korea, Southeast Asia, India, Australia Europe Germany, France, UK, Italy, RussiaSpain South AmericaBrazil, Argentina, Colombia etc. Middle East AfricaEgypt,South Africa,Israel,Turkey,GCC Countries Key companies profiled market report : Mango Solutions Fico ZS Microsoft LatentView Analytics Google International Business Machine Bigml Amazon Web Services HewlettPackard Enterprise Development AtT The Report ludes The Following Aspects ofData Science Machine Learning ServiceMarket: Historical illustration: 2014 2019; Growth Estimation: 2019 2024. Recent trends, ideas, development, industry, threats, perfect analysis SWOT. Chain structure, upstream downstream buyers, market volume sales revenue. Development forecasts market: key products, geographies leading divisions including applications. Competitor Examination: The ability companies players market drivers, production continuity probability. READ FULL REPORT: There 13 Chapters deeply display globalData Science Machine Learning Servicemarket. Chapter 1:Scope Report Chapter 2:Executive Summary Chapter 3:GlobalData Science Machine Learning Serviceby Manufacturers Chapter 4:Data Science Machine Learning Serviceby Regions Chapter 5, 6, 7, 8 9:Americas,APAC,Europe,Middle East Africa,Market Drivers, Challenges Trends Chapter 10 11:Marketing, Distributors CustomerAndGlobalData Science Machine Learning ServiceMarket Forecast. Chapter 12 And 13 :Key Players Analysis,Research Findings Conclusion. To help readers effectively plan future strategies, report provides set expert recommendations. It carries array tables graphs qualitative analyses. The experts working report successfully identified expected policy changes, industry news developments, trends opportunities. The report segments market levels studies great detail. Further, key dimensions including gross proceeds, CAGR, cost organization, manufacturing ability, commercial analysis, future growth trends. Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs [wprssaggregator] Tags: Data Science Machine Learning Service Market, Global Data Science Machine Learning Service Market 2019, Global Data Science Machine Learning Service Market Analysis, Global Data Science Machine Learning Service Market Growth, Global Data Science Machine Learning Service Market Share, Global Data Science Machine Learning Service Market Trend Post navigation Previous: Previous post: Global Enterprise Integration Platform Service Market 2019: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2024Next: Next post: Global Luxury Home Bedding Market 2019: Expected Development, Share, Demand And Study Of Key Players Research Predictions 2024 for: Latest News Aluminium Mining Market Revenue, Opportunity, Segment Key Trends 2024 April 29, 2020 Hydrographic Equipment Market Revenue, Opportunity, Segment Key Trends 2019 April 29, 2020 Syngas Derivatives Market Revenue, Opportunity, Segment Key Trends 2024 April 29, 2020 Dry Type Transformer Market Revenue, Opportunity, Segment Key Trends 2019 April 29, 2020 Wind Power Market Revenue, Opportunity, Segment Key Trends 2020 April 29, 2020 Synthetic Lubricant Market Revenue, Opportunity, Segment Key Trends 2019 April 29, 2020 Leather Testing Machine Market Witness High Demand During 20202024 Top Key Players Asian Test Equipments, Illinois Tool Works, Ektron Tek, etc. April 29, 2020 Global Smart Inhalers Market Future Demand, Market Analysis Outlook 2026AstraZeneca; OPKO Health .; AptarGroup, .; HT Presspart Manufacturing Ltd. Sensirion AG Switzerland. April 29, 2020 Wearable Patch Market Growth Development Challenges Forecast 2028 April 29, 2020 Major Advancements Construction Materials Global Group Eight G8 Industry Guide 20142023 April 29, 2020 2020Market Reports Observer.Built WordPress Highlight Theme
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354
https://www.globenewswire.com/news-release/2020/07/17/2063938/0/en/Machine-Learning-Market-to-Reach-USD-117-19-Billion-by-2027-Increasing-Popularity-of-Self-Driving-Cars-to-Propel-Demand-from-Automotive-Industry-says-Fortune-Business-Insights.html
2020-07-17T00:00:00
en
Machine Learning Market to Reach USD 117.19 Billion by 2027; Increasing Popularity of Self-Driving Cars to Propel Demand from Automotive Industry, says Fortune Business Insights™
Machine Learning Market to Reach USD 117.19 Billion by 2027; Increasing Popularity of Self-Driving Cars to Propel Demand from Automotive Industry, says Fortune Business Insights™ GlobeNewswire Register Sign In English Français Contact Us Global Distribution Newswire Services Regulatory Filings Media Partners Machine Learning Market to Reach USD 117.19 Billion by 2027; Increasing Popularity of Self-Driving Cars to Propel Demand from Automotive Industry, says Fortune Business Insights™ Key Companies Profiled are Hewlett Packard Enterprise Development LP, SAS Institute, Inc., Amazon Web Services, Inc., SAP SE, Baidu, Inc., Oracle Corporation, BigML, Inc., Microsoft Corporation, Fair Isaac Corporation, Intel Corporation, Google LLC, IBM Corporation, H2o.AI, Other players. Email Print Friendly Share July 17, 2020 09:47 ET | Source: Fortune Business Insights Pune, July 17, 2020 (GLOBE NEWSWIRE) -- The global machine learning market size is anticipated to rise remarkably on account of the advancement in deep learning. This, coupled with the amalgamation of analytics-driven solutions with ML abilities, is expected to aid in favor of the market in the coming years. As per a recent report by Fortune Business Insights, titled, “Machine Learning Market Size, Share & Covid-19 Impact Analysis, By Component (Solution, and Services), By Enterprise Size (SMEs, and Large Enterprises), By Deployment (Cloud and On-premise), By Industry (Healthcare, Retail, IT and Telecommunication, BFSI, Automotive and Transportation, Advertising and Media, Manufacturing, and Others), and Regional Forecast, 2020-2027,” the value of this market was USD 8.43 billion in 2019 and is likely to exhibit a CAGR of 39.2% to reach USD 117.19 billion by the end of 2027. Get Sample PDF Brochure: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/machine-learning-market-102226 Coronavirus has not only brought about health issues and created social distance among people but it has also hampered the industrial and commercial sectors drastically. The whole world is following home quarantine, and we are unsure when we can freely roam the streets again. The governments of various nations are also making considerable efforts to bring the COVID-19 situation under control, and hopefully, we will overcome this obstacle soon. Fortune Business Insights is offering special reports on various markets impacted by the COVID-19 pandemic. These reports provide a thorough analysis of the market and will be helpful for the players and investors to accordingly study and chalk out the growth strategies for better revenue generation. Click here to get the short-term and long-term impacts of COVID-19 on this Market.Please visit: https://www.fortunebusinessinsights.com/machine-learning-market-102226 What Are the Objectives of the Report? The report is based on a 360-degree overview of the market that discusses major factors driving, repelling, challenging, and creating opportunities for the market. It also talks about the current trends prevalent in the market, recent industry developments, and other interesting insights that will help investors accordingly chalk out growth strategies for the future. The report also highlights the names of major segments and significant players operating in the market. For more information on the report, log on to the company website. Drivers & Restraints-Huge Investment on Artificial Intelligence to Aid in Favor of Market The e-commerce sector has showcased significant growth in the past few years, with the advent of retail analytics. Companies such as Alibaba, eBay, Amazon, and others are utilizing advanced data analytics solutions for boosting their sales graph. Thus, the advent of analytical solutions into the e-commerce sector, offering enhanced consumer experience and rise in sales graph is one of the major factors promoting the machine learning market growth. In addition to this, the use of machine intelligence solutions for encrypting and protecting data is adding boost to the market. Furthermore, massive investments in artificial intelligence (AI) and efforts to introduce innovations in this field are further expected to add impetus to the market in the coming years. On the flipside, national security threat issues such as deepfakes and other fraudulent cases, coupled with the misuse of robots, may hamper the overall market growth. Nevertheless, the introduction and increasing popularity of self-driving cars from the automotive industry is projected to create new growth opportunities for the market in the coming years. Speak To Analyst https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/machine-learning-market-102226 Segment: IT and Telecommunication Segment Bagged Major Share Soon to be Overpowered by Healthcare Sector Based on segmentation by industry, the IT and telecommunication segment earned 22.0% machine learning market share and emerged dominant. But the current COVID-19 pandemic increased the popularity of wearable medical devices to keep track of personal health and diet. This is expected to help the healthcare sector emerge dominant in the coming years. Regional Analysis-Asia Pacific to Exhibit Fastest Growth Rate Owing to Rising Adoption by Developing Economies Region-wise, North America emerged dominant in the market, with a revenue of USD 3.07 billion in 2019. This is attributable to the presence of significant players such as IBM Corporation, Oracle Corporation, Amazon.com, and others and their investments in research and development of better software solutions for this technology. On the other side, the market in Asia Pacific is expected to exhibit a rapid CAGR in the forecast period on account of the increasing adoption of artificial intelligence, machine learning, and other latest advancements in the rising economies such as India, China, and others. Competitive Landscape- Players Focusing on Development of Responsible Machine Learning to Strengthen their position The global market generates significant revenues from companies such as Microsoft Corporation, IBM Corporation, SAS Institute Inc., Amazon.com, and others. The principal objective of these players is to develop responsible machine learning that will help prevent unauthorized use of such solutions for fraudulent or data theft crimes. Other players are engaging in collaborative efforts to strengthen their position in the market. Major Industry Developments of this Market Include: March 2019 – The latest and most advanced ML capability was added to the 365 platforms by Microsoft. This new feature will help strengthen the internet-facing virtual machines by increasing security when merged with the integration of machine learning by Azure’s security centre. List of the Leading Companies Profiled in the Machine Learning Market Research Report Include: Hewlett Packard Enterprise Development LPSAS Institute, Inc.Amazon Web Services, Inc.SAP SEBaidu, Inc.Oracle CorporationBigML, Inc.Microsoft CorporationFair Isaac CorporationIntel CorporationGoogle LLCIBM CorporationH2o.AIOther players Quick Buy: Machine Learning Market Research Report: https://www.fortunebusinessinsights.com/checkout-page/102226 Detailed Table of Content Introduction Definition, By SegmentResearch ApproachSources Executive SummaryMarket Dynamics Drivers, Restraints, and OpportunitiesEmerging Trends Key Insights Macro and Micro Economic IndicatorsImpact of COVID-19 Short-term ImpactLong-term Impact Key Industry Developments – In Response to the COVID-19 ImpactConsolidated SWOT Analysis of Key PlayersPorter’s Five Force Analysis Global Machine Learning Market Analysis, Insights and Forecast, 2016-2027 Key Findings / SummaryMarket Size and Forecast – By Component (Value) SolutionsServices Market Size and Forecast – By Enterprise Size (Value) SME'sLarge Enterprises Market Size and Forecast – By Deployment (Value) CloudOn-premise Market Size and Forecast – By End-user (Value) Healthcare RetailIT and TelecommunicationBFSIAutomotive & TransportationAdvertising & MediaManufacturingOthers (Energy & Utilities) Market Size and Forecast – By Region (Value) North AmericaEuropeAsia PacificMiddle East & AfricaLatin America TOC Continued...!!! Get your Customized Research Report: https://www.fortunebusinessinsights.com/enquiry/customization/machine-learning-market-102226 Have a Look at Related Research Insights: Commerce Cloud Market Size, Share & Industry Analysis, By Component (Platform, and Services), By Enterprise Size (SMEs, and Large Enterprises), By Application (Grocery and Pharmaceuticals, Fashion and Apparel, Travel and Hospitality, Electronics, Furniture and Bookstore, and Others), By End-use (B2B, and B2C), and Regional Forecast, 2020-2027 Big Data Technology Market Size, Share & Industry Analysis, By Offering (Solution, Services), By Deployment (On-Premise, Cloud, Hybrid), By Application (Customer Analytics, Operational Analytics, Fraud Detection and Compliance, Enterprise Data Warehouse Optimization, Others), By End Use Industry (BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Others) and Regional Forecast, 2019-2026 Artificial Intelligence (AI) Market Size, Share and Industry Analysis By Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Regional Forecast, 2019-2026 Artificial Intelligence AI in Manufacturing Market Size, Share & COVID-19 Impact Analysis, By Offering (Hardware, Software, and Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing), By Application (Process Control, Production Planning, Predictive Maintenance & Machinery Inspection), By Industry (Automotive, Medical Devices, Semiconductor &Electronics), and Regional Forecast, 2020-2027 Artificial Intelligence AI in Retail Market Size, Share & Industry Analysis, By Offering (Solutions, Services), By Function (Operations-Focused, Customer-Facing), By Technology (Computer Vision, Machine Learning, Natural Language Processing, and Others), and Regional Forecast, 2019-2026 Emotion Detection and Recognition Market Size, Share and Global Trend By Component (Software tools, Services), By Technology (Pattern Recognition Network, Machine Learning, Natural Language Processing), By Application (Marketing & Advertising, Media & Entertainment), By End-User (Government, Healthcare, Retail) and Geography Forecast till 2026 About Us: Fortune Business Insights™ offers expert corporate analysis and accurate data, helping organizations of all sizes make timely decisions. We tailor innovative solutions for our clients, assisting them address challenges distinct to their businesses. Our goal is to empower our clients with holistic market intelligence, giving a granular overview of the market they are operating in.  Our reports contain a unique mix of tangible insights and qualitative analysis to help companies achieve sustainable growth. Our team of experienced analysts and consultants use industry-leading research tools and techniques to compile comprehensive market studies, interspersed with relevant data.  At Fortune Business Insights™, we aim at highlighting the most lucrative growth opportunities for our clients. We therefore offer recommendations, making it easier for them to navigate through technological and market-related changes. Our consulting services are designed to help organizations identify hidden opportunities and understand prevailing competitive challenges. Contact Us: Fortune Business Insights™ Pvt. Ltd. 308, Supreme Headquarters, Survey No. 36, Baner, Pune-Bangalore Highway, Pune - 411045, Maharashtra, India. 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Machine Learning Market to Reach USD 117.19 Billion by 2027; Increasing Popularity of Self-Driving Cars to Propel Demand from Automotive Industry, says Fortune Business Insights™
Machine Learning Market Reach USD 117.19 Billion 2027; reasing Popularity SelfDriving Cars Propel Demand Automotive Industry, says Fortune Business Insights GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners Machine Learning Market Reach USD 117.19 Billion 2027; reasing Popularity SelfDriving Cars Propel Demand Automotive Industry, says Fortune Business Insights Key Companies Profiled Hewlett Packard Enterprise Development LP, SAS Institute, ., Amazon Web Services, ., SAP SE, Baidu, ., Oracle Corporation, BigML, ., Microsoft Corporation, Fair Isaac Corporation, Intel Corporation, Google LLC, IBM Corporation, H2o.AI, Other players. Email Print Friendly Share July 17, 2020 09:47 ET Source: Fortune Business Insights Pune, July 17, 2020 GLOBE NEWSWIRE The global machine learning market size anticipated rise remarkably account advancement deep learning. This, coupled amalgamation analyticsdriven solutions ML abilities, expected aid favor market coming years. As recent report Fortune Business Insights, titled, Machine Learning Market Size, Share Covid19 Impact Analysis, By Component Solution, Services, By Enterprise Size SMEs, Large Enterprises, By Deployment Cloud Onpremise, By Industry Healthcare, Retail, IT Telecommunication, BFSI, Automotive Transportation, Advertising Media, Manufacturing, Others, Regional Forecast, 20202027, value market USD 8.43 billion 2019 likely exhibit CAGR 39.2 reach USD 117.19 billion end 2027. Get Sample PDF Brochure: Coronavirus brought health issues created social distance people hampered industrial commercial sectors drastically. The world following home quarantine, unsure freely roam streets again. The governments nations making considerable efforts bring COVID19 situation control, hopefully, overcome obstacle soon. Fortune Business Insights offering special reports markets impacted COVID19 pandemic. These reports provide thorough analysis market helpful players investors accordingly study chalk growth strategies better revenue generation. Click shortterm longterm impacts COVID19 Market.Please visit: What Are Objectives Report? The report based 360degree overview market discusses major factors driving, repelling, challenging, creating opportunities market. It talks current trends prevalent market, recent industry developments, interesting insights help investors accordingly chalk growth strategies future. The report highlights names major segments significant players operating market. For information report, log company website. Drivers RestraintsHuge Investment Artificial Intelligence Aid Favor Market The ecommerce sector showcased significant growth past years, advent retail analytics. Companies Alibaba, eBay, Amazon, utilizing advanced data analytics solutions boosting sales graph. Thus, advent analytical solutions ecommerce sector, offering enhanced consumer experience rise sales graph major factors promoting machine learning market growth. In addition this, use machine intelligence solutions encrypting protecting data adding boost market. Furthermore, massive investments artificial intelligence AI efforts introduce innovations field expected add impetus market coming years. On flipside, national security threat issues deepfakes fraudulent cases, coupled misuse robots, hamper overall market growth. Nevertheless, introduction increasing popularity selfdriving cars automotive industry projected create new growth opportunities market coming years. Speak To Analyst Segment: IT Telecommunication Segment Bagged Major Share Soon Overpowered Healthcare Sector Based segmentation industry, IT telecommunication segment earned 22.0 machine learning market share emerged dominant. But current COVID19 pandemic increased popularity wearable medical devices track personal health diet. This expected help healthcare sector emerge dominant coming years. Regional AnalysisAsia Pacific Exhibit Fastest Growth Rate Owing Rising Adoption Developing Economies Regionwise, North America emerged dominant market, revenue USD 3.07 billion 2019. This attributable presence significant players IBM Corporation, Oracle Corporation, , investments research development better software solutions technology. On side, market Asia Pacific expected exhibit rapid CAGR forecast period account increasing adoption artificial intelligence, machine learning, latest advancements rising economies India, China, others. Competitive Landscape Players Focusing Development Responsible Machine Learning Strengthen position The global market generates significant revenues companies Microsoft Corporation, IBM Corporation, SAS Institute ., , others. The principal objective players develop responsible machine learning help prevent unauthorized use solutions fraudulent data theft crimes. Other players engaging collaborative efforts strengthen position market. Major Industry Developments Market lude: March 2019 The latest advanced ML capability added 365 platforms Microsoft. This new feature help strengthen internetfacing virtual machines increasing security merged integration machine learning Azures security centre. List Leading Companies Profiled Machine Learning Market Research Report lude: Hewlett Packard Enterprise Development LPSAS Institute, .Amazon Web Services, .SAP SEBaidu, .Oracle CorporationBigML, .Microsoft CorporationFair Isaac CorporationIntel CorporationGoogle LLCIBM CorporationH2o.AIOther players Quick Buy: Machine Learning Market Research Report: Detailed Table Content Introduction Definition, By SegmentResearch ApproachSources Executive SummaryMarket Dynamics Drivers, Restraints, OpportunitiesEmerging Trends Key Insights Macro Micro Economic IndicatorsImpact COVID19 Shortterm ImpactLongterm Impact Key Industry Developments In Response COVID19 ImpactConsolidated SWOT Analysis Key PlayersPorters Five Force Analysis Global Machine Learning Market Analysis, Insights Forecast, 20162027 Key Findings SummaryMarket Size Forecast By Component Value SolutionsServices Market Size Forecast By Enterprise Size Value SMEsLarge Enterprises Market Size Forecast By Deployment Value CloudOnpremise Market Size Forecast By Enduser Value Healthcare RetailIT TelecommunicationBFSIAutomotive TransportationAdvertising MediaManufacturingOthers Energy Utilities Market Size Forecast By Region Value North AmericaEuropeAsia PacificMiddle East AfricaLatin America TOC Continued... Get Customized Research Report: Have Look Related Research Insights: Commerce Cloud Market Size, Share Industry Analysis, By Component Platform, Services, By Enterprise Size SMEs, Large Enterprises, By Application Grocery Pharmaceuticals, Fashion Apparel, Travel Hospitality, Electronics, Furniture Bookstore, Others, By Enduse B2B, B2C, Regional Forecast, 20202027 Big Data Technology Market Size, Share Industry Analysis, By Offering Solution, Services, By Deployment OnPremise, Cloud, Hybrid, By Application Customer Analytics, Operational Analytics, Fraud Detection Compliance, Enterprise Data Warehouse Optimization, Others, By End Use Industry BFSI, Retail, Manufacturing, IT Telecom, Government, Healthcare, Utility, Others Regional Forecast, 20192026 Artificial Intelligence AI Market Size, Share Industry Analysis By Component Hardware, Software, Services, By Technology Computer Vision, Machine Learning, Natural Language Processing, Others, By Industry Vertical BFSI, Healthcare, Manufacturing, Retail, IT Telecom, Government, Others Regional Forecast, 20192026 Artificial IntelligenceAI Manufacturing Market Size, Share COVID19 Impact Analysis, By Offering Hardware, Software, Services, By Technology Computer Vision, Machine Learning, Natural Language Processing, By Application Process Control, Production Planning, Predictive Maintenance Machinery Inspection, By Industry Automotive, Medical Devices, Semiconductor Electronics, Regional Forecast, 20202027 Artificial Intelligence AI Retail Market Size, Share Industry Analysis, By Offering Solutions, Services, By Function OperationsFocused, CustomerFacing, By Technology Computer Vision, Machine Learning, Natural Language Processing, Others, Regional Forecast, 20192026 Emotion Detection Recognition Market Size, Share Global Trend By Component Software tools, Services, By Technology Pattern Recognition Network, Machine Learning, Natural Language Processing, By Application Marketing Advertising, Media Entertainment, By EndUser Government, Healthcare, Retail Geography Forecast till 2026 : Fortune Business Insightsoffers expert corporate analysis accurate data, helping organizations sizes timely decisions. We tailor innovative solutions clients, assisting address challenges distinct businesses. Our goal empower clients holistic market intelligence, giving granular overview market operating in. Our reports contain unique mix tangible insights qualitative analysis help companies achieve sustainable growth. Our team experienced analysts consultants use industryleading research tools techniques compile comprehensive market studies, interspersed relevant data. At Fortune Business Insights, aim highlighting lucrative growth opportunities clients. We offer recommendations, making easier navigate technological marketrelated changes. Our consulting services designed help organizations identify hidden opportunities understand prevailing competitive challenges. Us: Fortune Business Insights Pvt. Ltd. 308, Supreme Headquarters, Survey No. 36, Baner, PuneBangalore Highway, Pune 411045, Maharashtra,India. Phone: US: 14242530390 UK: 442071939123 APAC: 917447401245 Email:sales Fortune Business Insights LinkedInTwitterBlogs Read Press Release Related Articles More articles issued Fortune Business Insights More articles related to: Press releases Feature Article Partnerships Business Contracts Mergers Acquisitions Profile Fortune Business Insights RSS ATOM Javascript Pune INDIA Media Files FBI LOGO TM.png LOGO URL Copy link Formats available: Original Medium Small Tags Machine Learning Market Machine Learning Industry Machine Learning Market Size Machine Learning Market Share ML Market Related Links Machine Learning Market Artificial Intelligence Market Emotion Detection Recognition Market AI Manufacturing Market AI Retail Market Cyber Security Market Loyalty Management Market SWIR Camera Market Mobile Payment Market Fleet Management Software Market Data Visualization Market Internet Things Market Facial Recognition Market Retail Analytics Market Fiber Optics Market PushtoTalk Market Email Marketing Software Market Wireless Microphone Market Thermal Camera Market AIBased Fever Detection Camera Market Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . 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http://www.dvd.consumerelectronicsnet.com/lenovo-delivers-business-intelligence-with-solutions-purpose-built-for-analytics-and-ai-workloads/
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Lenovo Delivers Business Intelligence with Solutions Purpose-Built for Analytics and AI Workloads | | Consumer Electronics Net
Lenovo Delivers Business Intelligence with Solutions Purpose-Built for Analytics and AI Workloads | | Consumer Electronics Net Skip to content Consumer Electronics Net Primary Menu Consumer Electronics Net Search for: HomeNewsLenovo Delivers Business Intelligence with Solutions Purpose-Built for Analytics and AI Workloads News Lenovo Delivers Business Intelligence with Solutions Purpose-Built for Analytics and AI Workloads 10 hours ago Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 mission critical servers feature 3rd Gen Intel Xeon Scalable processors and support for enhanced Intel® Deep Learning Boost enabling customers to handle their most data intensive workloads. Introduction of GPU support on the ThinkSystem SR860 V2 server (four double-wide 300W or eight single-wide GPUs) and new GPU rich configurations for the SR860 V2 to manage next-generation AI workloads, allowing customers to focus efforts on unstructured datasets to drive new insights. A new remote deployment service offering for the Lenovo ThinkSystem DM7100 offers up to 80% faster implementation vs. scheduling on-site deployments, reducing complications and down-time risks, speeding time to value. RESEARCH TRIANGLE PARK, N.C.–(BUSINESS WIRE)–#HPC–Today, Lenovo Data Center Group (DCG) announced new flexible solutions to empower customers to simplify common data management challenges. DCG is announcing the launch of the ThinkSystem SR860 V2 and SR850 V2 servers, which now feature 3rd Gen Intel Xeon Scalable processors with enhanced support for SAP HANA based on Intel Optane persistent memory 200 series. In addition, Lenovo is announcing new remote deployment service offerings for the ThinkSystem DM7100 storage systems. This announcement is further supported by Lenovo being awarded #1 in server reliability for seven years running. With these new offerings, customers can more easily navigate complex data management needs to deliver actionable business intelligence through artificial intelligence (AI) and analytics, while getting maximum results when combined with business applications like SAP HANA®. Many industries are faced with the ever-increasing challenge of having to analyze greater volumes of data, maintain the velocity of the data being transacted and support the variety of the data being collected and stored. Without proper storage and processing capabilities, organizations are missing critical insights about their customers and business, while others experience bottlenecks due to a variety of data types that need to be analyzed, categorized and more quickly utilized to drive business value. Finally, the insights that come from data have definitive time limits, so the faster that systems can handle data, the greater amount of value that can be extracted. To help customers accelerate high performance workloads and improve efficiency, Lenovo’s new ThinkSystem SR860 V2 and SR850 V2 servers feature the latest in high-end processing and memory capabilities, with twice the amount of NVMe storage capacity1. The servers, combined with the DM7100 and business intelligence solutions from SAP, are material to helping customers address their data challenges in a variety of ways: ThinkSystem SR860 V2 and SR850 V2 The new 3rd Gen Intel Xeon Scalable processor-based enable more rapid data ingest capabilities to help tackle the growing volume of data coming into the data center. Featuring improved AI acceleration with Intel Deep Learning Boost enhanced with bfloat16, these new CPUs were purpose built to accelerate data insights. These systems also feature next-generation technologies that include: Increased onboard storage from 24 to 48 2.5”2 drives, improving the rate at which data can be consumed and improve performance for data-intensive applications such as large databases. Introduction of GPU support on the ThinkSystem SR860 V2 server (four double-wide 300W or eight single-wide GPUs) ideal for handling AI workloads, power VDI deployments and data analytics. The SR860 V2 leverages new GPU rich configurations to manage next-generation AI workloads, allowing customers to focus efforts on unstructured datasets to drive new insights. Intel Optane persistent memory 200 series to power SAP HANA, providing leading database and analytics performance along with expanded memory and storage capacity. When combined with ThinkSystem DM7100 series storage, Lenovo provides a business processing, analytics and data management platform for SAP database and business applications. When combined with Lenovo DB fiber channel switches, customers can now achieve end-to-end NVMe deployment, delivering higher throughput and up to a 50 percent reduction in latency. ThinkSystem DM7100 Software includes integrated hybrid cloud data tiering and management for secure and efficient data management in public and private cloud solutions. The cloud capability enables customers to build backup and high availability capability for analytic workloads. Can scale up to 21 PB or out to 264 PB of effective storage, protecting the customer investment by allowing for seamless future growth. A new remote deployment option offers up to 80%2 faster implementation vs. scheduling on-site deployments, reducing complications and down-time risks, speeding time to value. Customers have access to Lenovo’s Technical Consultants to configure and deploy the solution based on their unique requirements remotely. To handle the increase in the variety of data being collected, Lenovo Intelligent Insights with SAP Data Intelligence make it possible to utilize structured and unstructured data from multiple sources, such as cloud data stores, data lakes, smart devices, sensors and other IoT available for greater business insights. Finally, customers will experience Lenovo’s Premier Support, which works to ensure positive customer experience, better response and consistent uptime. “The constant change in information and ever evolving needs of customers means there must be faster and more efficient solutions to turn data into information that empowers businesses,” said Kamran Amini, Vice President and General Manager of Server, Storage and Software Defined Infrastructure, Lenovo Data Center Group. “Our new ThinkSystem servers are designed to enhance mission-critical applications like SAP HANA and accelerate next-generation workloads like AI, analytics and machine learning, enabling mission critical performance and reliability for all data centers and maximum business value for our customers.” Select configurations of the ThinkSystem SR860 V2, SR850 V2 and DM7100 solutions are available through Lenovo TruScale, the pay-for-what-you-use data center, offering customers a flexible and cost effective option for adoption. The ThinkSystem solutions featured today will be added to Lenovo’s industry-leading portfolio of workload optimized, pre-verified offerings under the Intel Select Solutions program, complementing a broad portfolio of ThinkSystem SR650 and SR630 solutions. All products are secured by Lenovo ThinkShield. For more information, visit www.lenovoxperience.com. ____________________________ 1 1 NVMe drive capacity/ overall drive capacity compared to SR860 – up to 48x 2.5” SSDs (up to 24x NVMe drives inclusive in the 48 total drives) – SR950/ 4U has 12 NVMe drives – new SR860 has 24 NVMe drives in 4U 2 Available on the SR860P. 2 Compared with the average time for an on-site implementation completed by Lenovo DCG Professional Services. Intel, the Intel logo, Xeon, Optane, and combinations thereof are trademarks of the Intel Corporation. About Lenovo Lenovo (HKSE: 992) (ADR: LNVGY) is a US$50 billion Fortune Global 500 company, with 63,000 employees and operating in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that create a more inclusive, trustworthy and sustainable digital society. By designing, engineering and building the world’s most complete portfolio of smart devices and infrastructure, we are also leading an Intelligent Transformation – to create better experiences and opportunities for millions of customers around the world. To find out more visit https://www.lenovo.com, follow us on LinkedIn, Facebook, Twitter, YouTube, Instagram, Weibo and read about the latest news via our StoryHub. Contacts WorldwideZeno Group, [email protected] Kusowski, [email protected], +1 919-339-2819 EMEACaroline De Souza, [email protected], +44 (0) 7768-08002 APACSachin Bhatia, [email protected], [email protected] LATAMValkiria Suzuki, [email protected], +5511996563108 PRCNa Na Luo, [email protected], +18519553701 Continue Reading Previous Eggplant Named as a Leader Among Continuous Functional Test Automation ProvidersNext Google Widevine Adds Intertrust whiteCryption for Tamper Resistance Search for: CategoriesCategories Select Category 360 3D printing 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles Blu-Ray BLUE LIGHT Book Broadband Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Electric Vehicles Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing Military NBN News Phishing Privacy Productivity Raid Retail Review Robotics Security Smart Devices Smart Homes Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VR/AR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday! 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Lenovo Delivers Business Intelligence with Solutions Purpose-Built for Analytics and AI Workloads
Lenovo Delivers Business Intelligence Solutions PurposeBuilt Analytics AI Workloads Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsLenovo Delivers Business Intelligence Solutions PurposeBuilt Analytics AI Workloads News Lenovo Delivers Business Intelligence Solutions PurposeBuilt Analytics AI Workloads 10 hours ago Lenovos new ThinkSystem SR860 V2 SR850 V2 mission critical servers feature 3rd Gen Intel Xeon Scalable processors support enhanced Intel Deep Learning Boost enabling customers handle data intensive workloads. Introduction GPU support ThinkSystem SR860 V2 server doublewide 300W singlewide GPUs new GPU rich configurations SR860 V2 manage nextgeneration AI workloads, allowing customers focus efforts unstructured datasets drive new insights. A new remote deployment service offering Lenovo ThinkSystem DM7100 offers 80 faster implementation vs. scheduling onsite deployments, reducing complications downtime risks, speeding time value. RESEARCH TRIANGLE PARK, N.C.BUSINESS WIREHPCToday, Lenovo Data Center Group DCG announced new flexible solutions empower customers simplify common data management challenges. DCG announcing launch ThinkSystem SR860 V2 SR850 V2 servers, feature 3rd Gen Intel Xeon Scalable processors enhanced support SAP HANA based Intel Optane persistent memory 200 series. In addition, Lenovo announcing new remote deployment service offerings ThinkSystem DM7100 storage systems. This announcement supported Lenovo awarded 1 server reliability seven years running. With new offerings, customers easily navigate complex data management needs deliver actionable business intelligence artificial intelligence AI analytics, getting maximum results combined business applications like SAP HANA. Many industries faced everincreasing challenge analyze greater volumes data, maintain velocity data transacted support variety data collected stored. Without proper storage processing capabilities, organizations missing critical insights customers business, experience bottlenecks variety data types need analyzed, categorized quickly utilized drive business value. Finally, insights come data definitive time limits, faster systems handle data, greater value extracted. To help customers accelerate high performance workloads improve efficiency, Lenovos new ThinkSystem SR860 V2 SR850 V2 servers feature latest highend processing memory capabilities, twice NVMe storage capacity1. The servers, combined DM7100 business intelligence solutions SAP, material helping customers address data challenges variety ways: ThinkSystem SR860 V2 SR850 V2 The new 3rd Gen Intel Xeon Scalable processorbased enable rapid data ingest capabilities help tackle growing volume data coming data center. Featuring improved AI acceleration Intel Deep Learning Boost enhanced bfloat16, new CPUs purpose built accelerate data insights. These systems feature nextgeneration technologies include: reased onboard storage 24 48 2.52 drives, improving rate data consumed improve performance dataintensive applications large databases. Introduction GPU support ThinkSystem SR860 V2 server doublewide 300W singlewide GPUs ideal handling AI workloads, power VDI deployments data analytics. The SR860 V2 leverages new GPU rich configurations manage nextgeneration AI workloads, allowing customers focus efforts unstructured datasets drive new insights. Intel Optane persistent memory 200 series power SAP HANA, providing leading database analytics performance expanded memory storage capacity. When combined ThinkSystem DM7100 series storage, Lenovo provides business processing, analytics data management platform SAP database business applications. When combined Lenovo DB fiber channel switches, customers achieve endtoend NVMe deployment, delivering higher throughput 50 percent reduction latency. ThinkSystem DM7100 Software includes integrated hybrid cloud data tiering management secure efficient data management public private cloud solutions. The cloud capability enables customers build backup high availability capability analytic workloads. Can scale 21 PB 264 PB effective storage, protecting customer investment allowing seamless future growth. A new remote deployment option offers 802 faster implementation vs. scheduling onsite deployments, reducing complications downtime risks, speeding time value. Customers access Lenovos Technical Consultants configure deploy solution based unique requirements remotely. To handle increase variety data collected, Lenovo Intelligent Insights SAP Data Intelligence possible utilize structured unstructured data multiple sources, cloud data stores, data lakes, smart devices, sensors IoT available greater business insights. Finally, customers experience Lenovos Premier Support, works ensure positive customer experience, better response consistent uptime. The constant change information evolving needs customers means faster efficient solutions turn data information empowers businesses, said Kamran Amini, Vice President General Manager Server, Storage Software Defined Infrastructure, Lenovo Data Center Group. Our new ThinkSystem servers designed enhance missioncritical applications like SAP HANA accelerate nextgeneration workloads like AI, analytics machine learning, enabling mission critical performance reliability data centers maximum business value customers. Select configurations ThinkSystem SR860 V2, SR850 V2 DM7100 solutions available Lenovo TruScale, payforwhatyouuse data center, offering customers flexible cost effective option adoption. The ThinkSystem solutions featured today added Lenovos industryleading portfolio workload optimized, preverified offerings Intel Select Solutions program, complementing broad portfolio ThinkSystem SR650 SR630 solutions. All products secured Lenovo ThinkShield. For information, visit ____________________________ 1 1 NVMe drive capacity overall drive capacity compared SR860 48x 2.5 SSDs 24x NVMe drives inclusive 48 total drives SR950 4U 12 NVMe drives new SR860 24 NVMe drives 4U 2 Available SR860P. 2 Compared average time onsite implementation completed Lenovo DCG Professional Services. Intel, Intel logo, Xeon, Optane, combinations thereof trademarks Intel Corporation. About Lenovo Lenovo HKSE: 992 ADR: LNVGY US50 billion Fortune Global 500 company, 63,000 employees operating 180 markets world. Focused bold vision deliver smarter technology all, developing worldchanging technologies create inclusive, trustworthy sustainable digital society. By designing, engineering building worlds complete portfolio smart devices infrastructure, leading Intelligent Transformation create better experiences opportunities millions customers world. To visit follow LinkedIn, Facebook, Twitter, YouTube, Instagram, Weibo read latest news StoryHub. WorldwideZeno Group, lenovowwdcg Kusowski, akusowski 1 9193392819 EMEACaroline De Souza, csouza5 44 0 776808002 APACSachin Bhatia, sbhatia1 lenovodcghub LATAMValkiria Suzuki, vsuzuki 5511996563108 PRCNa Na Luo, luona3 18519553701 Continue Reading Previous Eggplant Named Leader Among Continuous Functional Test Automation ProvidersNext Google Widevine Adds Intertrust whiteCryption Tamper Resistance for: CategoriesCategories Select Category 360 3D printing 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles BluRay BLUE LIGHT Book Broadband Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Electric Vehicles Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing Military NBN News Phishing Privacy Productivity Raid Retail Review Robotics Security Smart Devices Smart Homes Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VRAR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday Use code CEN 15 Ewin gaming chairs Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos You missed Consumer Electronics FaZe Clan Puts Gamer Nutrition Focus With Stake CTRL 3 hours ago News Universal Display Corporation Holds Virtual 2020 Annual Meeting Shareholders 3 hours ago News Saudi Arabia Launches COVID19 Dashboard Using Esri Technology 3 hours ago News Google Widevine Adds Intertrust whiteCryption Tamper Resistance 7 hours ago News Lenovo Delivers Business Intelligence Solutions PurposeBuilt Analytics AI Workloads 10 hours ago Consumer Electronics Net . 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https://www.americanbanker.com/news/using-ai-to-make-secondary-market-for-online-consumer-loans
2020-08-11T00:00:00
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Using AI to make secondary market for online consumer loans | American Banker
Using AI to make secondary market for online consumer loans | American Banker Leaders Policy & Regulation Technology Community Banking More Credit unions Opinion Resources Women in Banking Consumer Finance Credit unions Opinion Resources Women in Banking Consumer Finance Login Subscribe © 2020 Arizent. All rights reserved. Menu Show Search Search Query Submit Search Login Subscribe Leaders Policy & Regulation Technology Community Banking More Credit unions Opinion Resources Women in Banking Consumer Finance Coronavirus Women in Banking: Next Fintechs Government Stimulus Recovery Tags Digital banking Artificial intelligence Using AI to make secondary market for online consumer loans By Glen Fest August 11, 2020, 3:00 p.m. EDT 2 Min Read Facebook Twitter LinkedIn Email Show more sharing options Share Show more sharing options Close extra sharing options Facebook Twitter LinkedIn Email Register now A San Francisco institutional investment management firm that acquires prime loans from online lenders is poised to securitize some of those loans for the first time.What makes the 6-year-old company, Theorem, different from many players is that it uses proprietary machine learning technology to assess the likelihood of default of unsecured, online consumer loans available for purchase.The asset-backed bond offering, Theorem Funding Trust 2020-1, is a $255 million transaction sponsored by the company, which counts on its big-data analytics platform to cherry-pick loans from the platforms of multiple online lenders. The first collateral pool will consist solely of loans originated on LendingClub Corp.’s platform, according to Kroll Bond Rating Agency.The Theorem 2020-1 collateral pool contains 24,725 loans with an average balance of $17,308. The weighted average coupon is 13.58% and WA borrower FICO is 708.The notes offering includes a $199.95 million Class A tranche that carries a preliminary 'A' rating from Kroll. As is common for a first-time asset-backed securities issuer, the rating falls short of a higher investment-grade rating. But also factoring into the deal are unique risks in the online personal-loan sector, such as the short ABS performance history of the asset class. Moreover, ratings agencies are worried about the higher risk of late payments now that so many consumers have lost their jobs during the coronavirus pandemic.The issuer has included a 34.15% senior-note credit enhancement cushion (or surplus aggregate loan principal balance above the capital stack's notional value) as a buffer against any credit losses in the deal.Theorem is also marketing a $28.35 million Class B tranche with an early BBB rating and a $27.6 million Class C tranche that Kroll expects will receive a final BB- rating. Coronavirus impact: Additional Coverage Why banks are putting PPP forgiveness on the back burner Bankers don’t see economy recovering anytime soon Are banks prepared for employees to work off-site indefinitely? The note proceeds from Theorem 2020-1 will be used to finance the loans’ acquisition. The notes themselves will pay investors through the receivables cash flow of the underlying loans. The pool has a weighted average original term of 51 months on the loans, with remaining terms of 36 months. All of the loans are current and have never been modified.In a presale report, Kroll added it has a higher-than-usual base-case default assumptions for the pool — a credit-loss range of 10.45%-12.45%). It cited its ongoing ratings review of several similar portfolios in the sector as the reason.Those examinations include a review of LendingClub’s own deals. Ten of 17 tranche ratings from 11 of LendingClub’s securitization deals remain on watch for a possible downgrade by Kroll, owing to the economic downturn resulting from the coronavirus outbreak in the U.S. Although 13% of Theorem’s total portfolio of loans purchased from LendingClub (NYSE: LC) are in a hardship repayment program, the loans culled for the current ABS deal “have demonstrated resilience thus far by remaining current on loan payments” and none have enrolled in any of LendingClub’s hardship programs, according to Kroll.Theorem reduced its whole-loan purchases in March at the onset of the COVID-19 but resumed acquisitions in May.The investment management firm oversees $1.2 billion in assets on behalf of institutional investors. Glen Fest mailto Facebook Twitter LinkedIn Email Show more sharing options Share Show more sharing options Close extra sharing options Facebook Twitter LinkedIn Email Reprint For reprint and licensing requests for this article, click here. Digital banking Artificial intelligence Securitization Marketplace lending Machine learning Fintech Coronavirus LendingClub TRENDING Community banking What’s next for Berkshire Hills after CEO’s sudden exit? The coronavirus pandemic has created major credit issues at the Boston bank and stymied efforts to improve profits, fueling speculation that the onetime serial acquirer could be a takeover target. By Laura Alix 39m ago CFPB Banks, consumers groups to CFPB: Don’t rush overhaul of redlining law The agency sought feedback on potential changes to the Equal Credit Opportunity Act. But a coalition of industry and advocacy groups want a longer comment period to afford “a greater opportunity for thoughtful public participation.” By Kate Berry August 10 Community banking Berkshire Hills CEO abruptly steps down Richard Marotta left the Boston company less than two weeks after a goodwill impairment charge contributed to a large quarterly loss. By Paul Davis August 10 MORE FROM AMERICAN BANKER Community banking Large Flagstar investor to sell block of shares MatlinPatterson, which once owned more than 60% of the Michigan company, has been paring back its stake in recent years. By Henry Ren August 10 Fintech Community bank, fintech team up to serve gig-economy workers Somerset Trust in rural Pennsylvania has partnered with RoamHR, a financial platform that assists the self-employed, to add tax-withholding help for contract and temporary workers to the bank's services. By Miriam Cross August 10 M&A Triumph in Texas discloses issue with recent asset purchase The company said it has concerns about a large amount of accounts receivable it bought in July. By Jim Dobbs August 10 Minimum capital requirements Fed publishes big-bank capital requirements tied to stress test buffer Under a rule issued in March, banks will build an additional capital cushion that is determined by their performance in the annual tests. By Hannah Lang August 10 Diversity and equality Diversity chiefs gain prominence as banks confront racial inequality Institutions large and small are either creating new positions or elevating existing diversity heads to C-suite roles. Will the moves help banks improve equality within their ranks and better serve their communities? By Allissa Kline August 9 Cyber security Capital One fine is latest wake-up call for banks using the cloud A year-old data breach, which earned the company an $80 million OCC penalty this week, continues to offer lessons to banks as they put more sensitive information in the hands of cloud vendors. By Penny Crosman August 7 The Most Powerful Women in Banking: Next Meet the change-makers raising up the industry for a new generation Subscribe About Us Contact Us The Magazine Daily Edition Banker's Glossary Site Map RSS Feed Privacy Policy Subscription Agreement Content Licensing/Reprints Advertising/Marketing Services © 2020 Arizent. 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Using AI to make secondary market for online consumer loans
Using AI secondary market online consumer loans American Banker Leaders Policy Regulation Technology Community Banking More Credit unions Opinion Resources Women Banking Consumer Finance Credit unions Opinion Resources Women Banking Consumer Finance 2020 Arizent. . Menu Show Query Submit Leaders Policy Regulation Technology Community Banking More Credit unions Opinion Resources Women Banking Consumer Finance Coronavirus Women Banking: Next Fintechs Government Stimulus Recovery Tags Digital banking Artificial intelligence Using AI secondary market online consumer loans ByGlen Fest August 11, 2020, 3:00 p.m. EDT 2 Min Read Facebook Twitter LinkedIn Email Show sharing options Share Show sharing options Close extra sharing options Facebook Twitter LinkedIn Email A San Francisco institutional investment management firm acquires prime loans online lenders poised securitize loans time.What makes 6yearold company, Theorem, different players uses proprietary machine learning technology assess likelihood default unsecured, online consumer loans available purchase.The assetbacked bond offering, Theorem Funding Trust 20201, 255 million transaction sponsored company, counts bigdata analytics platform cherrypick loans platforms multiple online lenders. The collateral pool consist solely loans originated LendingClub Corp.s platform, according Kroll Bond Rating Agency.The Theorem 20201 collateral pool contains 24,725 loans average balance 17,308. The weighted average coupon 13.58 WA borrower FICO 708.The notes offering includes 199.95 million Class A tranche carries preliminary A rating Kroll. As common firsttime assetbacked securities issuer, rating falls short higher investmentgrade rating. But factoring deal unique risks online personalloan sector, short ABS performance history asset class. Moreover, ratings agencies worried higher risk late payments consumers lost jobs coronavirus pandemic.The issuer included 34.15 seniornote credit enhancement cushion surplus aggregate loan principal balance capital stacks notional value buffer credit losses deal.Theorem marketing 28.35 million Class B tranche early BBB rating 27.6 million Class C tranche Kroll expects receive final BB rating. Coronavirus impact: Additional Coverage Why banks putting PPP forgiveness burner Bankers dont economy recovering anytime soon Are banks prepared employees work offsite indefinitely? The note proceeds Theorem 20201 finance loans acquisition. The notes pay investors receivables cash flow underlying loans. The pool weighted average original term 51 months loans, remaining terms 36 months. All loans current modified.In presale report, Kroll added higherthanusual basecase default assumptions pool creditloss range 10.4512.45. It cited ongoing ratings review similar portfolios sector reason.Those examinations include review LendingClubs deals. Ten 17 tranche ratings 11 LendingClubs securitization deals remain watch possible downgrade Kroll, owing economic downturn resulting coronavirus outbreak U.S. Although 13 Theorems total portfolio loans purchased LendingClub NYSE: LC hardship repayment program, loans culled current ABS deal demonstrated resilience far remaining current loan payments enrolled LendingClubs hardship programs, according Kroll.Theorem reduced wholeloan purchases March onset COVID19 resumed acquisitions May.The investment management firm oversees 1.2 billion assets behalf institutional investors. Glen Fest mailto Facebook Twitter LinkedIn Email Show sharing options Share Show sharing options Close extra sharing options Facebook Twitter LinkedIn Email Reprint For reprint licensing requests article, click here. Digital banking Artificial intelligence Securitization Marketplace lending Machine learning Fintech Coronavirus LendingClub TRENDING Community banking Whats Berkshire Hills CEOs sudden exit? The coronavirus pandemic created major credit issues Boston bank stymied efforts improve profits, fueling speculation onetime serial acquirer takeover target. By Laura Alix 39m ago CFPB Banks, consumers groups CFPB: Dont rush overhaul redlining law The agency sought feedback potential changes Equal Credit Opportunity Act. But coalition industry advocacy groups want longer comment period afford greater opportunity thoughtful public participation. By Kate Berry August 10 Community banking Berkshire Hills CEO abruptly steps Richard Marotta left Boston company weeks goodwill impairment charge contributed large quarterly loss. By Paul Davis August 10 MORE FROM AMERICAN BANKER Community banking Large Flagstar investor sell block shares MatlinPatterson, owned 60 Michigan company, paring stake recent years. By Henry Ren August 10 Fintech Community bank, fintech team serve gigeconomy workers Somerset Trust rural Pennsylvania partnered RoamHR, financial platform assists selfemployed, add taxwithholding help contract temporary workers banks services. By Miriam Cross August 10 MA Triumph Texas discloses issue recent asset purchase The company said concerns large accounts receivable bought July. By Jim Dobbs August 10 Minimum capital requirements Fed publishes bigbank capital requirements tied stress test buffer Under rule issued March, banks build additional capital cushion determined performance annual tests. By Hannah Lang August 10 Diversity equality Diversity chiefs gain prominence banks confront racial inequality Institutions large small creating new positions elevating existing diversity heads Csuite roles. Will moves help banks improve equality ranks better serve communities? By Allissa Kline August 9 Cyber security Capital One fine latest wakeup banks cloud A yearold data breach, earned company 80 million OCC penalty week, continues offer lessons banks sensitive information hands cloud vendors. By Penny Crosman August 7 The Most Powerful Women Banking: Next Meet changemakers raising industry new generation Us The Magazine Daily Edition Bankers Glossary Site Map RSS Feed Subscription Agreement Content LicensingReprints AdvertisingMarketing Services 2020 Arizent. . 2020 Arizent. .
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https://venturebeat.com/2020/12/02/why-intel-believes-confidential-computing-will-boost-ai-and-machine-learning/
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Why Intel believes confidential computing will boost AI and machine learning | VentureBeat
Why Intel believes confidential computing will boost AI and machine learning | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Special Issue Become a Member Sign In Log Out VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow us on Twitter follow us on Facebook follow us on LinkedIn Follow us on RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow us on RSS GamesBeat Games Esports PC Gaming Follow follow us on Twitter Follow us on RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Why Intel believes confidential computing will boost AI and machine learning Chris O'Brien@obrien December 2, 2020 9:05 AM AI Share on Facebook Share on Twitter Share on LinkedIn Image Credit: intel When it comes to customer expectations, the pandemic has changed everything Learn how to accelerate customer service, optimize costs, and improve self-service in a digital-first world. Register here Companies are collecting increasing amounts of data, a trend that is driving the development of better analytical tools and tougher security. Analysis and security are now converging as confidential computing prepares to deliver a critical boost to artificial intelligence. Intel has been investing heavily in confidential computing as a way to expand the amount and types of data companies will manage through cloud services. According to Intel Fellow Ron Perez, who works on security architecture with the Intel Data Center Group, the company believes the emerging security standard will allow enterprises and large organizations to explore new ways to share the data needed to fuel AI and machine learning. “We see this as a long-term effort,” Perez said. “But the reason why we’re investing is that it has the potential to be a huge shift for cloud and utility computing.” Confidential computing is a standard that moves past policy-based privacy and security to implement safeguards on a deeper technical level. By using encryption that can only be unlocked via keys the client holds, confidential computing ensures companies hosting data and applications in the cloud have no way to access underlying data, whether it is stored in a database or passes through an application. The concept is gaining momentum because it allows data to remain encrypted even as it’s being processed and used in applications. Because the company hosting the data can’t access it, this security standard should prevent hackers from grabbing unencrypted data when it moves to the application layer. It would also theoretically allow companies to share data, even between competitors, to perform security checks on customers and weed out fraud. In August 2019, Intel became one of the founding members of the Confidential Computing Consortium, an open source effort managed by the Linux Foundation that aims to develop the hardware and software standards needed to further adoption. Companies like IBM, Google, and Microsoft have begun to highlight their work in this area as a way to encourage large enterprises, particularly in areas such as finance and health care, to put more of their sensitive data in the cloud. Data security’s future Perez leads a group of senior technologists at Intel focused on security architecture through a program dubbed Pathfinding. Perez describes it as the “pursuit of interesting challenges that our customers are facing.” In Perez’s case, the goal is to develop a pipeline of security technologies for Intel’s datacenter customers. Intel began its work in this area before the term “confidential computing” came into vogue, with Perez pointing to the company’s launch of software guard extensions in 2015. The SGXs are security coding built directly into Intel processors that create separate memory enclaves where data could be placed to limit access. This idea of using hardware and software to protect data while allowing it to be processed is at the heart of confidential computing. Microsoft used these Intel processors for its Azure cloud to enable its own confidential computing service. Last month, Intel announced it was expanding these capabilities in a new generation of its Xeon Scalable platform. “Our approach has been to drive continuous innovation and deep collaboration with our technology partners to improve the confidentiality and integrity of all data, wherever it is,” Perez said. Confidential computing and AI Proponents of confidential computing argue that it will lead to a new wave of cloud innovation as companies become more comfortable putting their most sensitive data online. Perez said that helps drive AI and machine learning in a couple of ways. The first is indirect. AI and ML have advanced in recent years, thanks to the growing datasets available to refine algorithms. Confidential computing, by bringing even more and richer data online, will benefit that development. “The main connection to machine learning and artificial intelligence is the fact that we’re generating more and more data,” Perez said. “We’re analyzing this data with various machine learning technologies. And that explosion of data is what’s really driving the interest in confidential computing, whether it’s used for machine learning or not. Machine learning just happens to be one of its main uses.” No matter the type of underlying data, if it must be decrypted to be used, the security of algorithms it passes through is critical. “How do you protect these algorithms across this very broad spectrum of use cases?” Perez said. “We see confidential computing as a paradigm shift for cloud computing. The infrastructure providers are providing the capabilities that allow cloud companies to deliver these services as a utility, and they don’t have to take responsibility for the protection of the data themselves.” Beyond that, confidential computing is enabling different types of collaboration around data to drive machine learning. Perez pointed to the example of a brain tumor project at the University of Pennsylvania. Penn’s Perelman School of Medicine has teamed up with 29 other health care and research institutions around the world, including in the U.K., Germany, and India. The group is using Intel’s confidential computing to develop a distributed approach to machine learning that allows them to share patient data, including medical imaging. Because such data can remain encrypted while it is being used for machine learning, the group can safely share that data and collaborate in a way that otherwise might not be possible. That’s critical because data is urgently needed to train machine learning, but no single institution has enough to achieve this on its own. Previously, Penn Medicine and Intel Labs published a study showing that federated learning (a collaborative approach) could train a machine learning model far more effectively than working alone. In this case, the group believes the combination of confidential computing and federated learning will allow them to make rapid breakthroughs in AI models that identify brain tumors. Merchants are also tapping the ability to allow new types of collaboration for customer and partner data, as are enterprises. While analysts like Gartner believe the real impact of confidential computing may still be several years away, Perez said it is already helping some sectors accelerate their AI and machine learning capabilities in the short term. “There are multiple aspects of the computing stack that need to be protected,” Perez said. “Confidential computing solves problems that couldn’t be solved before. The concept that I can use any computing capability that may reside in any country around the world and still have some preservation of the privacy and confidentiality of my data, that’s pretty powerful.” VentureBeat Homepage The Machine Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. All rights reserved.
Why Intel believes confidential computing will boost AI and machine learning
Why Intel believes confidential computing boost AI machine learning VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation Follow follow Twitter follow Facebook follow LinkedIn Follow RSS The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation Follow Follow RSS GamesBeat Games Esports PC Gaming Follow follow Twitter Follow RSS Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Why Intel believes confidential computing boost AI machine learning Chris OBrien December 2, 2020 9:05 AM AI Share Facebook Share Twitter Share LinkedIn Image Credit: intel When comes customer expectations, pandemic changed Learn accelerate customer service, optimize costs, improve selfservice digitalfirst world. Companies collecting increasing amounts data, trend driving development better analytical tools tougher security. Analysis security converging confidential computing prepares deliver critical boost artificial intelligence. Intel investing heavily confidential computing way expand types data companies manage cloud services. According Intel Fellow Ron Perez, works security architecture Intel Data Center Group, company believes emerging security standard allow enterprises large organizations explore new ways share data needed fuel AI machine learning. We longterm effort, Perez said. But reason investing potential huge shift cloud utility computing. Confidential computing standard moves past policybased privacy security implement safeguards deeper technical level. By encryption unlocked keys client holds, confidential computing ensures companies hosting data applications cloud way access underlying data, stored database passes application. The concept gaining momentum allows data remain encrypted processed applications. Because company hosting data access it, security standard prevent hackers grabbing unencrypted data moves application layer. It theoretically allow companies share data, competitors, perform security checks customers weed fraud. In August 2019, Intel founding members Confidential Computing Consortium, open source effort managed Linux Foundation aims develop hardware software standards needed adoption. Companies like IBM,Google, Microsoft begun highlight work area way encourage large enterprises, particularly areas finance health care, sensitive data cloud. Data securitys future Perez leads group senior technologists Intel focused security architecture program dubbed Pathfinding. Perez describes pursuit interesting challenges customers facing. In Perezs case, goal develop pipeline security technologies Intels datacenter customers. Intel began work area term confidential computing came vogue, Perez pointing companys launch software guard extensions 2015. The SGXs security coding built directly Intel processors create separate memory enclaves data placed limit access. This idea hardware software protect data allowing processed heart confidential computing. Microsoft Intel processors Azure cloud enable confidential computing service. Last month, Intel announced expanding capabilities new generation Xeon Scalable platform. Our approach drive continuous innovation deep collaboration technology partners improve confidentiality integrity data, is, Perez said. Confidential computing AI Proponents confidential computing argue lead new wave cloud innovation companies comfortable putting sensitive data online. Perez said helps drive AI machine learning couple ways. The indirect. AI ML advanced recent years, thanks growing datasets available refine algorithms. Confidential computing, bringing richer data online, benefit development. The main connection machine learning artificial intelligence fact generating data, Perez said. Were analyzing data machine learning technologies. And explosion data whats driving confidential computing, machine learning not. Machine learning happens main uses. No matter type underlying data, decrypted used, security algorithms passes critical. How protect algorithms broad spectrum use cases? Perez said. We confidential computing paradigm shift cloud computing. The infrastructure providers providing capabilities allow cloud companies deliver services utility, dont responsibility protection data themselves. Beyond that, confidential computing enabling different types collaboration data drive machine learning. Perez pointed example brain tumor project University Pennsylvania. Penns Perelman School Medicine teamed 29 health care research institutions world, including U.K., Germany, India. The group Intels confidential computing develop distributed approach machine learning allows share patient data, including medical imaging. Because data remain encrypted machine learning, group safely share data collaborate way possible. Thats critical data urgently needed train machine learning, single institution achieve own. Previously, Penn Medicine Intel Labs published study showing federated learning collaborative approach train machine learning model far effectively working alone. In case, group believes combination confidential computing federated learning allow rapid breakthroughs AI models identify brain tumors. Merchants tapping ability allow new types collaboration customer partner data, enterprises. While analysts like Gartner believe real impact confidential computing years away, Perez said helping sectors accelerate AI machine learning capabilities short term. There multiple aspects computing stack need protected, Perez said. Confidential computing solves problems solved before. The concept I use computing capability reside country world preservation privacy confidentiality data, thats pretty powerful. VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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https://www.forbes.com/sites/ibmai/2020/03/31/4-steps-financial-services-firms-can-take-with-ai-to-improve-customer-experience/
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IBM AI BrandVoice: 4 Steps Financial Services Firms Can Take With AI To Improve Customer Experience
IBM AI BrandVoice: 4 Steps Financial Services Firms Can Take With AI To Improve Customer ExperienceSign in to your Forbes account orregisterPlease help us continue to provide you with free, quality journalism by turning off your ad blocker on our site.For instructions on how to disable your ad blocker, click here.I’ve Turned Off My Ad BlockerOr Sign In To Continue Using An Ad BlockerThank you for signing in.If this is your first time registering, please check your inbox for more information about the benefits of your Forbes account and what you can do next!I agree to receive occasional updates and announcements about Forbes products and services. You may opt out at any time.I'd like to receive the Forbes Daily Dozen newsletter to get the top 12 headlines every morning.Forbes takes privacy seriously and is committed to transparency. We will never share your email address with third parties without your permission. By signing in, you are indicating that you accept our Terms of Service and Privacy Statement.BillionairesAll BillionairesWorld's BillionairesForbes 400America's Richest Self-Made WomenChina's RichestIndia's RichestIndonesia's RichestKorea's RichestThailand's RichestJapan's RichestAustralia's RichestTaiwan's RichestSingapore's RichestPhilippines' RichestHong Kong's RichestMalaysia's RichestMoney & Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCIO NetworkCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice | Paid ProgramGamesGreen TechHealthcareOracle BrandVoice | Paid ProgramSAP BrandVoice | Paid ProgramScienceServiceNow BrandVoice | Paid ProgramSocial MediaT-Mobile For Business BrandVoice | Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCMO NetworkDeloitte BrandVoice | Paid ProgramDiversity & InclusionEducationForbesWomenGoogle Cloud BrandVoice | Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking & InsuranceCrypto & BlockchainETFs & Mutual FundsFintechHedge Funds & Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesWealth ManagementBusinessAll BusinessAerospace & DefenseEnergyFood & DrinkHollywood & EntertainmentManufacturingMediaMitsubishi Heavy Industries BrandVoice | Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleAmway BrandVoice | Paid ProgramArtsBoats & PlanesCars & BikesDiningForbesLifeForbes Travel GuideSpiritsTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Travel Credit CardsBest Business Credit CardsBest Credit Card Sign Up BonusesBest Rewards Credit CardsBest Student Credit CardsBest Cash Back Credit CardsBest Balance Transfer Credit CardsBest Hotel Credit CardsBest Airline Credit CardsBest First Credit CardsBest Credit Cards For Bad CreditChase Sapphire Preferred CardCiti Double Cash CardThe Platinum Card From American Express Ink Business Preferred Credit CardBank of America Premium Rewards Credit Card Chase Sapphire Reserve CardBest Tax Software of 2020Best Travel Insurance CompaniesFeatured5 Innovations Changing The Future Of Food30 Under 30 2020AARP BrandVoice | Paid ProgramChase Home Lending BrandVoice | Paid ProgramCole Haan BrandVoice | Paid ProgramDNA Of SuccessForbes AI: Forbes Insights With IBM | Paid ProgramForbes Analytics Plus With Teradata | Paid ProgramForbes Insights With Arm Treasure DataInvestor Forecast: 5 Key Trends Shaping Your Financial FutureMoney 2020The Leukemia & Lymphoma Society BrandVoice | Paid ProgramToday's Military BrandVoice | Paid ProgramVoices Of SuccessWell Earned: The World's Wealthiest Celebrate New MilestonesBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors' PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue of ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints & Permissions© 2020 Forbes Media LLC. All Rights ReservedBETAThis is a BETA experience. You may opt-out by clicking hereEdit Story IBM AIBRANDVOICEStorytelling and expertise from marketers| Paid ProgramShare to FacebookShare to TwitterShare to Linkedin In the global financial services industry, artificial intelligence (AI) is already disrupting business models. One major catalyst of that disruption is how AI and related technologies can redesign and improve the customer experience.  In the race to adopt and deploy AI, however, financial services companies face significant hurdles in delivering on that promise—from data quality and data access to recruiting the needed talent. AI promises nothing short of a CX revolution in this sector, but the best ideas will fail if projects aren’t built on a foundation of clean, accurate and complete data surrounding customers and their financial needs. Here are a few of the major challenges these companies face with AI—and how they can best leverage the opportunity. Biggest AI Hurdles By their nature, machine learning and deep learning—two primary subsets of AI—are data-hungry processes. Regardless of the sophistication of the algorithms that underpin them, the answers they return can only ever be as smart as the training they receive to support them. That makes data cleansing and data management at financial services companies a vital, prerequisite step on the journey to delivering better customer experiences. Beyond the sound data prerequisite, other challenges that financial services companies face in the adoption of AI to enhance CX include: A rise in customer security concerns and a lack of trust with handling/issuing customer data The cost of implementing AI technologies, which are often heightened by legacy and/or outdated systems Pushback by internal employees who feel that AI might displace their role(s) The availability of suitable talent that can help firms capitalize on AI initiatives 4 Steps To Improve Customer Experience With AI With the above-mentioned challenges in mind, a multistep, holistic effort is the best way for financial services companies to ensure their AI and machine learning initiatives deliver a return on investment (ROI).  The following are four steps these firms can take to improve customer experience with AI: 1. Identify Clear Objectives And How To Measure Them AI initiatives should begin with clearly stated objectives. The goal, for example, may be to increase new business by 15% or increase assets under management per customer by 10%. Yet not until both senior business leaders and technology leaders within a company have aligned on clearly defined targets should any AI investments be made. As another example, consider UBank. Wanting to help ease the home application process and tap into the vast amount of data at their fingertips, UBank leveraged IBM’s Watson Assistant to create RoboChat—Australia’s first virtual assistant designed to help with loan application processes. RoboChat is able to respond to customer queries on 40 core home loan topics, along with hundreds of associated questions.  After establishing their goals, UBank’s first AI solution delivered strong, measurable results, launching after only six weeks of development and answering more than 80% of questions correctly the first time. 2. Plan, Cleanse And Structure Data Needs Every business function—from customer onboarding to servicing—requires timely access to the right data. So it’s imperative that customer data is cleansed, structured and planned before employing it to improve CX. Another element of data planning is bringing together stakeholders across the organization to determine what data is most essential. That includes customer onboarding professionals and customer relationship managers who can define the exact data requirements for any machine learning tool. While an IT team may be aware of the tools needed to manage the data, others have to inform the team about what the data needs are. The consequences of poor data quality, if left unchecked, can result in missed revenue opportunities and decreased productivity. Westpac Banking Corporation’s AI-based virtual assistant, Red, which has clocked millions of conversations with the bank’s customers since its launch, summoned cleansed and well-structured data from its inception. Powered by IBM Watson Assistant, Red was originally designed to help with basic customer inquiries—things that in the past would have needed a call, web search, email or branch visit, such as, “How do I activate my card?” Red’s data structure needs were addressed early when a team of conversation analysts taught it to recognize more than 5,000 different ways customers ask about almost 100 banking tasks, a number that grows daily. 3. Address Data Gaps Once you’ve assessed data needs, you should assess what investments are required to address the gaps. For example, what new data management technologies should be employed? Do employees have the access and ability to successfully share accurate and holistic views of their customers? At this stage, company leaders should consider how to leverage data tools more broadly. In an industry accustomed to seeing quarterly financial results drive investment, AI strategies that can enhance CX require a longer-term view. It’s a marathon, after all, not a sprint.  As an industry leader, Royal Bank of Scotland (RBS) had the foresight to address its data gap issues when it launched “Marge”—a valuable new asset that remains key to RBS’s digital transformation. IBM and RBS co-created this AI-powered, cloud-based platform that empowers mortgage call center employees with real-time digital mortgage support for homebuyers. Marge is intentionally personified as a member of the RBS team and even has her own evolving personality. She was built directly on the cloud, embedded in RBS’s existing data structures, with access to new data added every minute via content updates and customer interactions. For RBS mortgage call center employees, she is a single point of access for digital mortgage support. Since implementing the digital mortgage support tool, RBS has seen a 20% improvement in customer Net Promoter Score and a 10% decrease in call duration. 4. Be Agile, Execute And Measure To Improve Putting machine learning tools and models to work requires agile approaches. AI is a dynamic, ever-evolving technology; no immediate wins are guaranteed. It’s more about incrementally leveraging what’s working, fixing problems and adjusting course when necessary to move forward in pursuit of a company’s overall customer service objectives. By tying improvements in data management to measurable business outcomes, companies can simultaneously mitigate the risks associated with poor data quality while reaping the rewards of new approaches that deliver incremental changes in customer engagement and experience. It’s worth noting that the importance of AI-friendly leadership and sound change management should not be understated in such initiatives. The leadership team at French bank Crédit Mutuel recognized the importance of a sound AI strategy years ago. The bank has over 5,000 branches that receive more than 350,000 online inquiries a day—and volume is growing 23% a year. Maintaining the quality of client relationships, while dealing with an ever-rising stream of customers and client requests, meant reinventing the role of client advisor or losing its competitive edge.  After running a diagnosis of how client advisors were spending their time, the bank found that a significant part of their work involved answering simple and repetitive questions. So, Crédit Mutuel turned to IBM to find a virtual assistant solution that could speed up everyday processes and allow client advisors time to address more complicated and nuanced problems.  As Pierre Reichert, Crédit Mutuel’s insurance CEO, noted, “Technological innovation is part of our DNA.” So, when faced with this challenge, he knew how to leverage agile approaches and rely on a like-minded industry partner. “We started with an observation, a diagnosis, and then looked for solutions. It turned out (IBM) Watson was being developed, so we jumped on it very quickly,” he said. Being a data-driven financial institution is no longer an option—it’s a must in order to retain and grow market share. Winners will be determined by how well data and AI is leveraged for the benefit of customers.IBM AIIBM is the global leader in business transformation, serving clients in more than 170 countries around the world. Today, 47 of the Fortune 50 companies rely on the IBM… Read MoreIBM is the global leader in business transformation, serving clients in more than 170 countries around the world. Today, 47 of the Fortune 50 companies rely on the IBM Cloud to run their business and IBM Watson enterprise AI is hard at work in more than 20,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 26 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. For more information, visit www.ibm.com Read LessPrintSite FeedbackTipsCorrectionsReprints & PermissionsTermsPrivacy© 2020 Forbes Media LLC. All Rights Reserved.AdChoices
IBM AI BrandVoice: 4 Steps Financial Services Firms Can Take With AI To Improve Customer Experience
IBM AI BrandVoice: 4 Steps Financial Services Firms Can Take With AI To Improve Customer ExperienceSign Forbes accountorregisterPlease help continue provide free, quality journalism turning ad blocker site.For instructions disable ad blocker,click here.Ive Turned Off My Ad BlockerOr To Continue Using An Ad BlockerThank signing in.If time registering, check inbox information benefits Forbes account nextI agree receive occasional updates announcements Forbes products services. You opt time.Id like receive Forbes Daily Dozen newsletter 12 headlines morning.Forbes takes privacy seriously committed transparency. We share email address parties permission. By signing in, indicating accept ourandPrivacy Statement.BillionairesAll BillionairesWorlds BillionairesForbes 400Americas Richest SelfMade WomenChinas RichestIndias RichestIndonesias RichestKoreas RichestThailands RichestJapans RichestAustralias RichestTaiwans RichestSingapores RichestPhilippines RichestHong Kongs RichestMalaysias RichestMoney Politics 2020 MoneyInnovationAll Innovation5GAIBig DataCIO NetworkCloudCloud 100Consumer TechCybersecurityEnterprise TechEverbridge BrandVoice Paid ProgramGamesGreen TechHealthcareOracle BrandVoice Paid ProgramSAP BrandVoice Paid ProgramScienceServiceNow BrandVoice Paid ProgramSocial MediaTMobile For Business BrandVoice Paid ProgramVenture CapitalLeadershipAll LeadershipCareersCFO NetworkCMO NetworkDeloitte BrandVoice Paid ProgramDiversity lusionEducationForbesWomenGoogle Cloud BrandVoice Paid ProgramLeadership StrategyUnder 30Working RemoteMoneyAll MoneyBanking InsuranceCrypto BlockchainETFs Mutual FundsFintechHedge Funds Private EquityInvestingMarketsPersonal FinancePremium Investing NewslettersRetirementTaxesWealth ManagementBusinessAll BusinessAerospace DefenseEnergyFood DrinkHollywood EntertainmentManufacturingMediaMitsubishi Heavy Industries BrandVoice Paid ProgramPolicyReal EstateRetailSportsMoneyTransportationSmall BusinessAll Small BusinessEntrepreneursFranchisesSmall Business StrategyLifestyleAll LifestyleAmway BrandVoice Paid ProgramArtsBoats PlanesCars BikesDiningForbesLifeForbes Travel GuideSpiritsTravelVicesWatchesListsAll ListsAdvisorAll AdvisorThe Best Credit Cards Of 2020Best Travel Credit CardsBest Business Credit CardsBest Credit Card Sign Up BonusesBest Rewards Credit CardsBest Student Credit CardsBest Cash Back Credit CardsBest Balance Transfer Credit CardsBest Hotel Credit CardsBest Airline Credit CardsBest First Credit CardsBest Credit Cards For Bad CreditChase Sapphire Preferred CardCiti Double Cash CardThe Platinum Card From American Express Ink Business Preferred Credit CardBank America Premium Rewards Credit Card Chase Sapphire Reserve CardBest Tax Software 2020Best Travel Insurance CompaniesFeatured5 Innovations Changing The Future Of Food30 Under 30 2020AARP BrandVoice Paid ProgramChase Home Lending BrandVoice Paid ProgramCole Haan BrandVoice Paid ProgramDNA Of SuccessForbes AI: Forbes Insights With IBM Paid ProgramForbes Analytics Plus With Teradata Paid ProgramForbes Insights With Arm Treasure DataInvestor Forecast: 5 Key Trends Shaping Your Financial FutureMoney 2020The Leukemia Lymphoma Society BrandVoice Paid ProgramTodays Military BrandVoice Paid ProgramVoices Of SuccessWell Earned: The Worlds Wealthiest Celebrate New MilestonesBreakingAll BreakingCoronavirusMoreForbes Daily Cover StoriesForbes Editors PicksDaily Dozen BriefingCrypto ConfidentialNewslettersForbes ShoppingForbes CouponsForbes 8Forbes VideoDark CapitalForbes MagazineInvesting DigestFree Issue ForbesSite FeedbackTipsCorrectionsPrivacyTermsAdChoicesReprints Permissions 2020 Forbes Media LLC. BETAThis BETA experience. You optout byclicking hereEdit Story IBM AIBRANDVOICEStorytelling expertise marketers Paid ProgramShare FacebookShare TwitterShare Linkedin In global financial services industry, artificial intelligence AI disrupting business models. One major catalyst disruption AI related technologies redesign improve customer experience. In race adopt deploy AI, however, financial services companies face significant hurdles delivering promisefrom data quality data access recruiting needed talent. AI promises short CX revolution sector, best ideas fail projects arent built foundation clean, accurate complete data surrounding customers financial needs. Here major challenges companies face AIand best leverage opportunity. Biggest AI Hurdles By nature, machine learning deep learningtwo primary subsets AIare datahungry processes. Regardless sophistication algorithms underpin them, answers return smart training receive support them. That makes data cleansing data management financial services companies vital, prerequisite step journey delivering better customer experiences. Beyond sound data prerequisite, challenges financial services companies face adoption AI enhance CX include: A rise customer security concerns lack trust handlingissuing customer data The cost implementing AI technologies, heightened legacy andor outdated systems Pushback internal employees feel AI displace roles The availability suitable talent help firms capitalize AI initiatives 4 Steps To Improve Customer Experience With AI With abovementioned challenges mind, multistep, holistic effort best way financial services companies ensure AI machine learning initiatives deliver return investment ROI. The following steps firms improve customer experience AI: 1. Identify Clear Objectives And How To Measure Them AI initiatives begin clearly stated objectives. The goal, example, increase new business 15 increase assets management customer 10. Yet senior business leaders technology leaders company aligned clearly defined targets AI investments made. As example, consider UBank. Wanting help ease home application process tap vast data fingertips, UBank leveraged IBMs Watson Assistant create RoboChatAustralias virtual assistant designed help loan application processes. RoboChat able respond customer queries 40 core home loan topics, hundreds associated questions. After establishing goals, UBanks AI solution delivered strong, measurable results, launching weeks development answering 80 questions correctly time. 2. Plan, Cleanse And Structure Data Needs Every business functionfrom customer onboarding servicingrequires timely access right data. So imperative customer data cleansed, structured planned employing improve CX. Another element data planning bringing stakeholders organization determine data essential. That includes customer onboarding professionals customer relationship managers define exact data requirements machine learning tool. While IT team aware tools needed manage data, inform team data needs are. The consequences poor data quality, left unchecked, result missed revenue opportunities decreased productivity. Westpac Banking Corporations AIbased virtual assistant, Red, clocked millions conversations banks customers launch, summoned cleansed wellstructured data inception. Powered IBM Watson Assistant, Red originally designed help basic customer inquiriesthings past needed call, web search, email branch visit, as, How I activate card? Reds data structure needs addressed early team conversation analysts taught recognize 5,000 different ways customers ask 100 banking tasks, number grows daily. 3. Address Data Gaps Once youve assessed data needs, assess investments required address gaps. For example, new data management technologies employed? Do employees access ability successfully share accurate holistic views customers? At stage, company leaders consider leverage data tools broadly. In industry accustomed seeing quarterly financial results drive investment, AI strategies enhance CX require longerterm view. Its marathon, all, sprint. As industry leader, Royal Bank Scotland RBS foresight address data gap issues launched Margea valuable new asset remains key RBSs digital transformation. IBM RBS cocreated AIpowered, cloudbased platform empowers mortgage center employees realtime digital mortgage support homebuyers. Marge intentionally personified member RBS team evolving personality. She built directly cloud, embedded RBSs existing data structures, access new data added minute content updates customer interactions. For RBS mortgage center employees, single point access digital mortgage support. Since implementing digital mortgage support tool, RBS seen 20 improvement customer Net Promoter Score 10 decrease duration. 4. Be Agile, Execute And Measure To Improve Putting machine learning tools models work requires agile approaches. AI dynamic, everevolving technology; immediate wins guaranteed. Its incrementally leveraging whats working, fixing problems adjusting course necessary forward pursuit companys overall customer service objectives. By tying improvements data management measurable business outcomes, companies simultaneously mitigate risks associated poor data quality reaping rewards new approaches deliver incremental changes customer engagement experience. Its worth noting importance AIfriendly leadership sound change management understated initiatives. The leadership team French bank Crdit Mutuel recognized importance sound AI strategy years ago. The bank 5,000 branches receive 350,000 online inquiries dayand volume growing 23 year. Maintaining quality client relationships, dealing everrising stream customers client requests, meant reinventing role client advisor losing competitive edge. After running diagnosis client advisors spending time, bank significant work involved answering simple repetitive questions. So, Crdit Mutuel turned IBM virtual assistant solution speed everyday processes allow client advisors time address complicated nuanced problems. As Pierre Reichert, Crdit Mutuels insurance CEO, noted, Technological innovation DNA. So, faced challenge, knew leverage agile approaches rely likeminded industry partner. We started observation, diagnosis, looked solutions. It turned IBM Watson developed, jumped quickly, said. Being datadriven financial institution longer optionits order retain grow market share. Winners determined data AI leveraged benefit customers.IBM AIIBM global leader business transformation, serving clients 170 countries world. Today, 47 Fortune 50 companies rely IBMRead MoreIBM global leader business transformation, serving clients 170 countries world. Today, 47 Fortune 50 companies rely IBM Cloud run business IBM Watson enterprise AI hard work 20,000 engagements. IBM worlds vital corporate research organizations, 26 consecutive years patent leadership. Above all, guided principles trust transparency support inclusive society, IBM committed responsible technology innovator force good world. For information, visit Read LessPrintSite FeedbackTipsCorrectionsReprints PermissionsTermsPrivacy 2020 Forbes Media LLC. .AdChoices
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https://cheshire.media/uncategorised/220950/artificial-intelligence-based-cybersecurity-market-advance-technology-and-new-innovations-2020-amazon-com-inc-check-point-software-technologies-ltd-ibm-corporation-intel-corporation/
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Artificial Intelligence-based Cybersecurity Market Advance Technology and New Innovations 2020 | Amazon.com, Inc., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation – Cheshire Media
Artificial Intelligence-based Cybersecurity Market Advance Technology and New Innovations 2020 | Amazon.com, Inc., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation – Cheshire Media Skip to content Thu. Nov 26th, 2020 Cheshire Media All News Energy Finance Headline Health and Safety Space Contact All News Artificial Intelligence-based Cybersecurity Market Advance Technology and New Innovations 2020 | Amazon.com, Inc., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation Byri Nov 26, 2020 Artificial Intelligence-based Cybersecurity Market research Report is a valuable supply of perceptive information for business strategists. This Artificial Intelligence-based Cybersecurity Market study provides comprehensive data which enlarge the understanding, scope and application of this report. A specific study of competitive landscape of the global Artificial Intelligence-based Cybersecurity Market has alloted, providing insights into the corporate profiles, financial standing, recent developments, mergers and acquisitions, and therefore the SWOT analysis. This analysis report will provides a transparent plan to readers concern regarding the general market situation to further choose on this market projects. The Artificial Intelligence-based Cybersecurity Market report profiles the following companies, which includes: – Amazon.com, Inc., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation, Cisco Systems, Inc., Symantec Corporation Get Sample Copy of this Report @ https://www.reportsintellect.com/sample-request/1069731 This report studies the global Artificial Intelligence-based Cybersecurity Market status and forecast, categorizes the global Artificial Intelligence-based Cybersecurity Market size (value & volume), revenue (Million USD), product price by manufacturers, type, application, and region. Artificial Intelligence-based Cybersecurity Market Report by Material, Application and Geography with Global Forecast to 2025 is an connoisseur and far-reaching research provide details related to world’s major provincial economic situations, Concentrating on the principle districts (North America, South America Europe, and Asia-Pacific) and the crucial nations (United States, Germany, United Kingdom, Japan, South Korea, and China). By Types: Machine Learning, Natural Language Processing, Other By Applications: BFSI, Government, IT & Telecom, Healthcare, Aerospace and Defense, Other Market Segment by Regions, regional analysis covers North America Europe Asia-Pacific South America Middle East and Africa Table of Contents – Global Artificial Intelligence-based Cybersecurity Market Size, Status and Forecast 2025 1 Market Overview 2 Manufacturers Profiles 3 Global Artificial Intelligence-based Cybersecurity Sales, Revenue, Market Share and Competition by Manufacturer 4 Global Artificial Intelligence-based Cybersecurity Market Analysis by Regions 5 North America Artificial Intelligence-based Cybersecurity by Countries 6 Europe Artificial Intelligence-based Cybersecurity by Countries 7 Asia-Pacific Artificial Intelligence-based Cybersecurity by Countries 8 South America Artificial Intelligence-based Cybersecurity by Countries 9 Middle East and Africa Artificial Intelligence-based Cybersecurity by Countries 10 Global Artificial Intelligence-based Cybersecurity Market Segment by Type 11 Global Artificial Intelligence-based Cybersecurity Market Segment by Application 12 Artificial Intelligence-based Cybersecurity Market Forecast 13 Sales Channel, Distributors, Traders and Dealers 14 Research Findings and Conclusion 15 Appendix Get a Good Amount of Discount @ https://www.reportsintellect.com/discount-request/1069731  Overview of the chapters analysing the global Artificial Intelligence-based Cybersecurity Market in detail: Chapter 1 details the information relating to Artificial Intelligence-based Cybersecurity introduction, Scope of the product, market overview, Market risks, driving forces of the market, etc Chapter 2 analyses the top manufacturers of the Artificial Intelligence-based Cybersecurity Market by sales, revenue etc for the Forecast period 2020 to 2025 Chapter 3 analyze on the competition landscape amongst the highest manufacturers based on sales, revenue, market share etc for the period 2020 to 2025. Chapter 4 defines the globalmarket by regions and their market share, sales, revenue etc for the period to 2025. Chapters 5 to 9 analyse the Artificial Intelligence-based Cybersecurity regions with Artificial Intelligence-based Cybersecurity countries based on market share, revenue, sales etc. Chapter 10 and 11 contain the knowledge concerning market basis types and application, sales market share, rate of growth etc for forecast period 2020 to 2025. Chapter 12 focuses on the market forecast for 2020 to 2025for the Artificial Intelligence-based Cybersecurity Market by regions, type and application, sales and revenue. Chapter 13 to 15 contain the transient details associate to sales channels, suppliers, traders, dealers, research findings and conclusion etc for the Artificial Intelligence-based Cybersecurity Market. Reasons why you should buy this report Understand the current and future of the Artificial Intelligence-based Cybersecurity Market in both developed and emerging markets. The report assists in realigning the business strategies by highlighting the Artificial Intelligence-based Cybersecurity business priorities. The report throws light on the segment expected to dominate the Artificial Intelligence-based Cybersecurity industry and market. Forecasts the regions expected to perceive ascension. The newest developments within the Artificial Intelligence-based Cybersecurity industry and details of the industry leaders along side their market share and methods. Saves time on the entry level research as the report contains important data concerning about growth, size, leading players and segments of the industry. Save and cut time carrying out entry-level research by distinguishing the growth, size, leading players and segments within the global Market. About Us:- Reports Intellect is your one-stop solution for everything associated with marketing research and market intelligence. We tend to perceive importance of market intelligence and its need in today’s competitive world. Our exhausting team works hard to fetch the foremost authentic research reports backed with impeccable data figures that guarantee outstanding results anytime for you. So, whether it’s the newest report from the researchers or a custom requirement, our team is here to assist you within the absolute best way. Contact Us: [email protected] PH – + 1-706-996-2486 US Address: 225 Peachtree Street NE, Suite 400, Atlanta, GA 30303 Post navigation Enterprise Mobility Solutions Market Research Growth by Manufacturers, Regions, Type and Application, Forecast Analysis to 2026 Global Beauty Tool Market 2020 Research Report | Shiseido, Etude House, L’Oreal, Avon By ri Related Post All News Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate Inclination Towards Positive Axis By 2026 Nov 26, 2020 hiren.s All News GPU Servers Market Trends 2020, In-Depth Analysis of Industry Growth and Forecast Up To 2026 | Super Micro, IBM, Dell Nov 26, 2020 rahul All News CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth and Forecast by 2026 | Digital Storm, Dell, Hewlett Packard Nov 26, 2020 rahul Recent Posts Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate Inclination Towards Positive Axis By 2026 GPU Servers Market Trends 2020, In-Depth Analysis of Industry Growth and Forecast Up To 2026 | Super Micro, IBM, Dell CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth and Forecast by 2026 | Digital Storm, Dell, Hewlett Packard Axle and Propeller Shaft Market Statistics, Trends, Analysis Size and Growth Factors by 2028 High-Density Servers Market Size, In-Deep Analysis Details, Application, Regional Demand, and Forecast, 2026 | Hewlett Packard, Lenovo, Asus Archives November 2020 October 2020 Categories All News Energy Finance Headline Health and Safety Space Meta Log in Entries feed Comments feed WordPress.org You missed All News Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate Inclination Towards Positive Axis By 2026 Nov 26, 2020 hiren.s All News GPU Servers Market Trends 2020, In-Depth Analysis of Industry Growth and Forecast Up To 2026 | Super Micro, IBM, Dell Nov 26, 2020 rahul All News CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth and Forecast by 2026 | Digital Storm, Dell, Hewlett Packard Nov 26, 2020 rahul All News Finance Headline Axle and Propeller Shaft Market Statistics, Trends, Analysis Size and Growth Factors by 2028 Nov 26, 2020 quince Cheshire Media Proudly powered by WordPress | Theme: Newsup by Themeansar. 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Artificial Intelligence-based Cybersecurity Market Advance Technology and New Innovations 2020
Artificial Intelligencebased Cybersecurity Market Advance Technology New Innovations 2020 , ., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation Cheshire Media Skip content Thu. Nov 26th, 2020 Cheshire Media All News Energy Finance Headline Health Safety Space All News Artificial Intelligencebased Cybersecurity Market Advance Technology New Innovations 2020 , ., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation Byri Nov 26, 2020 Artificial Intelligencebased Cybersecurity Marketresearch Report valuable supply perceptive information business strategists. This Artificial Intelligencebased Cybersecurity Market study provides comprehensive data enlarge understanding, scope application report. A specific study competitive landscape global Artificial Intelligencebased Cybersecurity Market alloted, providing insights corporate profiles, financial standing, recent developments, mergers acquisitions, SWOT analysis. This analysis report provides transparent plan readers concern general market situation choose market projects. The Artificial Intelligencebased Cybersecurity Market report profiles following companies, includes: , ., Check Point Software Technologies Ltd., IBM Corporation, Intel Corporation, Cisco Systems, ., Symantec Corporation Get Sample Copy Report @ This report studies global Artificial Intelligencebased Cybersecurity Market status forecast, categorizes global Artificial Intelligencebased Cybersecurity Market size value volume, revenue Million USD, product price manufacturers, type, application, region. Artificial Intelligencebased Cybersecurity Market Report Material, Application Geography Global Forecast 2025 connoisseur farreaching research provide details related worlds major provincial economic situations, Concentrating principle districts North America, South America Europe, AsiaPacific crucial nations United States, Germany, United Kingdom, Japan, South Korea, China. By Types: Machine Learning, Natural Language Processing, Other By Applications: BFSI, Government, IT Telecom, Healthcare, Aerospace Defense, Other Market Segment Regions, regional analysis covers North America Europe AsiaPacific South America Middle East Africa Table Contents Global Artificial Intelligencebased Cybersecurity Market Size, Status Forecast 2025 1 Market Overview 2 Manufacturers Profiles 3 Global Artificial Intelligencebased Cybersecurity Sales, Revenue, Market Share andCompetitionby Manufacturer 4 Global Artificial Intelligencebased Cybersecurity Market Analysis Regions 5 North America Artificial Intelligencebased Cybersecurity Countries 6 Europe Artificial Intelligencebased Cybersecurity Countries 7 AsiaPacific Artificial Intelligencebased Cybersecurity Countries 8 South America Artificial Intelligencebased Cybersecurity Countries 9 Middle East Africa Artificial Intelligencebased Cybersecurity Countries 10 Global Artificial Intelligencebased Cybersecurity Market Segment Type 11 Global Artificial Intelligencebased Cybersecurity Market Segment Application 12 Artificial Intelligencebased Cybersecurity Market Forecast 13 Sales Channel, Distributors, Traders Dealers 14 Research Findings Conclusion 15 Appendix Get Good Amount Discount @ Overview chapters analysing global Artificial Intelligencebased Cybersecurity Market detail: Chapter 1 details information relating Artificial Intelligencebased Cybersecurity introduction, Scope product, market overview, Market risks, driving forces market, Chapter 2 analyses manufacturers Artificial Intelligencebased Cybersecurity Market sales, revenue Forecast period 2020 2025 Chapter 3 analyze competition landscape highest manufacturers based sales, revenue, market share period 2020 2025. Chapter 4 definesthe globalmarket regions market share, sales, revenue forthe periodto 2025. Chapters 5 9 analyse Artificial Intelligencebased Cybersecurity regions Artificial Intelligencebased Cybersecurity countries based market share, revenue, sales etc. Chapter 10 11 contain knowledge concerning market basis types application, sales market share, rate growth forecast period 2020 2025. Chapter 12 focuses market forecast 2020 2025for Artificial Intelligencebased Cybersecurity Market regions, type application, sales revenue. Chapter 13 15 contain transient details associate sales channels, suppliers, traders, dealers, research findings conclusion Artificial Intelligencebased Cybersecurity Market. Reasons buy report Understand current future Artificial Intelligencebased Cybersecurity Market developed emerging markets. The report assists realigning business strategies highlighting Artificial Intelligencebased Cybersecurity business priorities. The report throws light segment expected dominate Artificial Intelligencebased Cybersecurity industry market. Forecasts regions expected perceiveascension. The newest developments Artificial Intelligencebased Cybersecurity industry details industry leaders market share methods. Saves time entry level research report contains important data concerning growth, size, leading players segments industry. Save cut time carrying entrylevel research distinguishing growth, size, leading players segments global Market. : Reports Intellect onestop solution associated marketing research market intelligence. We tend perceive importance market intelligence need todays competitive world. Our exhausting team works hard fetchthe foremostauthentic research reports backed impeccable data figures guarantee outstanding resultsanytimefor you. So, whetheritsthe newestreport researchers custom requirement, team hereto assistyouwithin theabsolute bestway. Us: [emailprotected] PH 17069962486 US Address: 225 Peachtree Street NE, Suite 400, Atlanta, GA 30303 Post navigation Enterprise Mobility Solutions Market Research Growth Manufacturers, Regions, Type Application, Forecast Analysis 2026 Global Beauty Tool Market 2020 Research Report Shiseido, Etude House, LOreal, Avon By ri Related Post All News Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate lination Towards Positive Axis By 2026 Nov 26, 2020 hiren.s All News GPU Servers Market Trends 2020, InDepth Analysis Industry Growth Forecast Up To 2026 Super Micro, IBM, Dell Nov 26, 2020 rahul All News CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth Forecast 2026 Digital Storm, Dell, Hewlett Packard Nov 26, 2020 rahul Recent Posts Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate lination Towards Positive Axis By 2026 GPU Servers Market Trends 2020, InDepth Analysis Industry Growth Forecast Up To 2026 Super Micro, IBM, Dell CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth Forecast 2026 Digital Storm, Dell, Hewlett Packard Axle Propeller Shaft Market Statistics, Trends, Analysis Size Growth Factors 2028 HighDensity Servers Market Size, InDeep Analysis Details, Application, Regional Demand, Forecast, 2026 Hewlett Packard, Lenovo, Asus Archives November 2020 October 2020 Categories All News Energy Finance Headline Health Safety Space Meta Log Entries feed Comments feed You missed All News Global Mobile Semiconductor Industry Market Growth Graph To Demonstrate lination Towards Positive Axis By 2026 Nov 26, 2020 hiren.s All News GPU Servers Market Trends 2020, InDepth Analysis Industry Growth Forecast Up To 2026 Super Micro, IBM, Dell Nov 26, 2020 rahul All News CAD Workstations Market 2020: Global Industry Analysis, Size, Share, Trends, Growth Forecast 2026 Digital Storm, Dell, Hewlett Packard Nov 26, 2020 rahul All News Finance Headline Axle Propeller Shaft Market Statistics, Trends, Analysis Size Growth Factors 2028 Nov 26, 2020 quince Cheshire Media Proudly powered WordPress Theme: Newsup Themeansar. 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Diffbot: Crawling with Visual Machine Learning — SitePoint
Diffbot: Crawling with Visual Machine Learning — SitePointSkip to main contentSitePointBlogCommunityJobsLibraryLoginJoin PremiumDiffbot: Crawling with Visual Machine LearningBy Bruno SkvorcPHPJuly 27, 2014Share:Free JavaScript Book!Write powerful, clean and maintainable JavaScript.RRP $11.95 Get the book free! Have you ever wondered how social networks do URL previews so well when you share links? How do they know which images to grab, whom to cite as an author, or which tags to attach to the preview? Is it all crawling with complex regexes over source code? Actually, more often than not, it isn’t. Meta information defined in the source can be unreliable, and sites with less than stellar reputation often use them as keyword carriers, attempting to get search engines to rank them higher. Isn’t what we, the humans, see in front of us what matters anyway? If you want to build a URL preview snippet or a news aggregator, there are many automatic crawlers available online, both proprietary and open source, but you seldom find something as niche as visual machine learning. This is exactly what Diffbot is – a “visual learning robot” which renders a URL you request in full and then visually extracts data, helping itself with some metadata from the page source as needed. After covering some theory, in this post we’ll do a demo API call at one of SitePoint’s posts. PHP Library The PHP library for Diffbot is somewhat out of date, and as such we won’t be using it in this demo. We’ll be performing raw API calls, and in some future posts we’ll build our own library for API interaction. If you’d like to take a look at the PHP library nonetheless, see here, and if you’re interested in libraries for other languages, Diffbot has a directory. Update, July 2015: A PHP library has been developed since this article was published. See its entire development process here, or the source code here. JavaScript Content We said in the introductory section that Diffbot renders the request in full and then analyzes it. But, what about JavaScript content? Nowadays, websites often render some HTML above the fold, and then finish the CSS, JS, and dynamic content loading afterwards. Can the Diffbot API see that? As a matter of fact, yes. Diffbot literally renders the page in full, and then inspects it visually, as explained in my StackOverflow Q&A here. There are some caveats, though, so make sure you read the answer carefully. Pricing and API Health Diffbot has several usage tiers. There’s a free trial tier which kills your API token after 7 days or 10000 calls, whichever comes first. The commercial tokens can be purchased at various prices, and never expire, but do have limitations. A special case by case approach is afforded to open source and/or educational projects which provides an older model of the free token – 10k calls per month, once per second max, but never expires. You need to contact them directly if you think you qualify. Diffbot guarantees a high uptime, but failures sometimes do happen – especially in the most resource intensive API of the bunch: Crawlbot. Crawlbot is used to crawl entire domains, not just individual pages, and as such has a lower reliability rate than other APIs. Not by a lot, but enough to be noticeable in the API Health screen – the screen you can check to see if an API is up and running or currently unavailable if your calls run into issues or return error 500. Demo To prepare your environment, please boot up a Homestead Improved instance. Create Project Create a starter Laravel project by SSHing into the VM with vagrant ssh, going into the Code folder, and executing composer create-project laravel/laravel Laravel --prefer-dist. This will let you access the Laravel greeting page via http://homestead.app:8000 from the host’s browser. Add a Route and Action In app/routes.php add the following route: Route::get('/diffbot', 'HomeController@diffbotDemo'); In app/controllers/HomeController add the following action: public function diffbotDemo() { die("hi"); } If http://homestead.app:8000/diffbot now outputs “hi” on the screen, we’re ready to start playing with the API. Get a Token To interact with the Diffbot API, you need a token. Sign up for one on their pricing page. For the sake of this demo, let’s call our token $TOKEN, and we’ll refer to it as such in URLs. Replace $TOKEN with your own value where appropriate. Install Guzzle We’ll be using Guzzle as our HTTP client. It’s not required, but I do recommend you get familiar with it through a past article of ours. Add the "guzzlehttp/guzzle": "4.1.*@dev" to your composer.json so the require block looks like this: "require": { "laravel/framework": "4.2.*", "guzzlehttp/guzzle": "4.1.*@dev" }, In the project root, run composer update. Fetch Article Data In the first example, we’ll crawl a SitePoint post with the default Article API from Diffbot. To do this, we refer to the docs which do an excellent job at explaining the workflow. Change the body of the diffbotDemo action to the following code: public function diffbotDemo() { $token = "$TOKEN"; $version = 'v3'; $client = new GuzzleHttp\Client(['base_url' => 'http://api.diffbot.com/']); $response = $client->get($version.'/article', ['query' => [ 'token' => $token, 'url' => 'http://www.sitepoint.com/7-mistakes-commonly-made-php-developers/' ]]); die(var_dump($response->json())); } First, we set our token. Then, we define a variable that’ll hold the API version. Next, it’s up to us to create a new Guzzle client, and we also give it a base URL so we don’t have to type it in every time we make another request. Next up, we create a response object by sending a GET request to the API’s URL, and we add in an array of query parameters in key => value format. In this case, we only pass in the token and the URL, the most basic of parameters. Finally, since the Diffbot API returns JSON data, we use Guzzle’s json() method to automatically decode it into an array. We then pretty-print this data: As you can see, we got some information back rather quickly. There’s the icon that was used, a preview of the text, the title, even the language, date and HTML have been returned. You’ll notice there’s no author, however. Let’s change this and request some more values. If we add the “fields” parameter to the query params list and give it a value of “tags”, Diffbot will attempt to extract tags/categories from the URL provided. Add this line to the query array: 'fields' => 'tags' and then change the die part to this: $data = $response->json(); die(var_dump($data['objects'][0]['tags'])); Refreshing the screen now gives us this: But, the source code of the article notes several other tags: Why is the result so very different? It’s precisely due to the reason we mentioned at the end of the very first paragraph of this post: what we humans see takes precedence. Diffbot is a visual learning robot, and as such its AI deducts the tags from the actual rendered content – what it can see – rather than from looking at the source code which is far too easily spiced up for SEO purposes. Is there a way to get the tags from the source code, though, if one really needs them? Furthermore, can we make Diffbot recognize the author on SitePoint articles? Yes. With the Custom API. Meta Tags and Author with Custom API The Custom API is a feature which allows you to not only tweak existing Diffbot API to your liking by adding new fields and rules for content extraction, but also allows you to create completely new APIs (accessed via a dedicated URL, too) for custom content processing. Go to the dev dashboard and log in with your token. Then, go into “Custom API”. Activate the “Create a Rule” tab at the bottom, and input the URL of the article we’re crawling into the URL box, then click Test. Your screen should look something like this: You’ll immediately notice the Author field is empty. You can tweak the author-searching rule by clicking Edit next to it, and finding the Author element in the live preview window that opens, then click on it to get the desired result. However, due to some, well, less than perfect CSS on SitePoint’s end, it’s very difficult to provide Diffbot’s API with a consistent path to the author name, especially by clicking on elements. Instead, add the following rule manually: .contributor--large .contributor_name a and click Save. You’ll notice the Preview window now correctly populates the Author field: In fact, this new rule is automatically applied to all SitePoint links for your token. If you try to preview another SitePoint article, like this one, you’ll notice Peter Nijssen is successfully extracted: Ok, let’s modify the API further. We need the article:tag values that are visible in source code. Doing this requires a two-step process. Step 1: Define a Collection A collection is exactly what it sounds like – a collection of values grabbed via a specific ruleset. We’ll call our collection “MetaTags”, and give it the following selector: meta[property=article:tag]. This means “find all meta elements in the HTML that have the property attribute with the value article:tag“. Step 2: Define Collection Fields Collection fields are individual entries in a collection – in our case, the various tags. Click on “Add a custom field to this collection”, and add the following values: Click Save. You’ll immediately have access to the list of Tags in the result window: Change the final output of the diffbotDemo() action to this: die(var_dump($data['objects'][0]['metaTags'])); If you now refresh the URL we tested with (http://homestead.app:8000/diffbot), you’ll notice the author and meta tags values are there. Here’s the output the above line of code produces: We have our tags! Conclusion Diffbot is a powerful data extractor for the web – whether you need to consolidate many sites into a single search index without combining their back-ends, want to build a news aggregator, have an idea for a URL preview web component, or want to regularly harvest the contents of competitors’ public pricing lists, Diffbot can help. With dead simple API calls and highly structured responses, you’ll be up and running in next to no time. In a later article, we’ll build a brand new API for using Diffbot with PHP, and redo the calls above with it. We’ll also host the library on Packagist, so you can easily install it with Composer. Stay tuned! Bruno SkvorcBruno is a blockchain developer and code auditor from Croatia with Master’s Degrees in Computer Science and English Language and Literature. He's been a web developer for 10 years until JavaScript drove him away. He now runs a cryptocurrency business at Bitfalls.com via which he makes blockchain tech approachable to the masses, and runs Coinvendor, an on-boarding platform for people to easily buy cryptocurrency. He’s also a developer evangelist for Diffbot.com, a San Francisco-based AI-powered machine vision web scraper. New books out now!Learn valuable skills with a practical introduction to Python programming!Read the book nowGive yourself more options and write higher quality CSS with CSS Optimization Basics.Read the book nowPopular BooksJump Start Git, 2nd EditionVisual Studio Code: End-to-End Editing and Debugging Tools for Web DevelopersForm Design PatternsStuff we doPremiumForumsCorporate membershipsBecome an affiliateRemote JobsAboutOur storyContactContact usFAQPublish your book with usWrite an article for usAdvertiseLegalsTerms of usePrivacy policyConnect© 2000 – 2020 SitePoint Pty. Ltd.This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Diffbot: Crawling with Visual Machine Learning — SitePoint
Diffbot: Crawling Visual Machine Learning SitePointSkip main contentSitePointBlogCommunityJobsLibraryJoin PremiumDiffbot: Crawling Visual Machine LearningByBruno SkvorcPHPJuly 27, 2014Share:Free JavaScript BookWrite powerful, clean maintainable JavaScript.RRP 11.95 Get book free Have wondered social networks URL previews share links? How know images grab, cite author, tags attach preview? Is crawling complex regexes source code? Actually, not, isnt. Meta information defined source unreliable, sites stellar reputation use keyword carriers, attempting search engines rank higher. Isnt we, humans, matters anyway? If want build URL preview snippet news aggregator, automatic crawlers available online, proprietary open source, seldom niche visual machine learning. This exactly Diffbot visual learning robot renders URL request visually extracts data, helping metadata source needed. After covering theory, post demo API SitePoints posts. PHP Library The PHP library Diffbot somewhat date, wont demo. Well performing raw API calls, future posts build library API interaction. If youd like look PHP library nonetheless, here, youre interested libraries languages, Diffbot directory. Update, July 2015: A PHP library developed article published. See entire development process here, source code here. JavaScript Content We said introductory section Diffbot renders request analyzes it. But, JavaScript content? Nowadays, websites render HTML fold, finish CSS, JS, dynamic content loading afterwards. Can Diffbot API that? As matter fact, yes. Diffbot literally renders full, inspects visually, explained StackOverflow QA here. There caveats, though, sure read answer carefully. Pricing API Health Diffbot usage tiers. Theres free trial tier kills API token 7 days 10000 calls, whichever comes first. The commercial tokens purchased prices, expire, limitations. A special case case approach afforded open source andor educational projects provides older model free token 10k calls month, second max, expires. You need contact directly think qualify. Diffbot guarantees high uptime, failures happen especially resource intensive API bunch: Crawlbot. Crawlbot crawl entire domains, individual s, lower reliability rate APIs. Not lot, noticeable API Health screen screen check API running currently unavailable calls run issues return error 500. Demo To prepare environment, boot Homestead Improved instance. Create Project Create starter Laravel project SSHing VM vagrant ssh, going Code folder, executing composer createproject laravellaravel Laravel preferdist. This let access Laravel greeting hosts browser. Add Route Action In approutes.php add following route: Route::getdiffbot, HomeController In appcontrollersHomeController add following action: public function diffbotDemo diehi; If outputs hi screen, ready start playing API. Get Token To interact Diffbot API, need token. Sign pricing . For sake demo, lets token TOKEN, refer URLs. Replace TOKEN value appropriate. Install Guzzle Well Guzzle HTTP client. Its required, I recommend familiar past article ours. Add guzzlehttpguzzle: 4.1. composer.json require block looks like this: require: laravelframework: 4.2., guzzlehttpguzzle: 4.1. , In project root, run composer update. Fetch Article Data In example, crawl SitePoint post default Article API Diffbot. To this, refer docs excellent job explaining workflow. Change body diffbotDemo action following code: public function diffbotDemo token = TOKEN; version = v3; client = new GuzzleHttp\Client[base_url => response = client>getversion.article, [query => [ token => token, url => ]]; dievar_dumpresponse>json; First, set token. Then, define variable thatll hold API version. Next, create new Guzzle client, base URL dont type time request. Next up, create response object sending GET request APIs URL, add array query parameters key => value format. In case, pass token URL, basic parameters. Finally, Diffbot API returns JSON data, use Guzzles json method automatically decode array. We prettyprint data: As see, got information quickly. Theres icon used, preview text, title, language, date HTML returned. Youll notice theres author, however. Lets change request values. If add fields parameter query params list value tags, Diffbot attempt extract tagscategories URL provided. Add line query array: fields => tags change die this: data = response>json; dievar_dumpdata[objects][0][tags]; ing screen gives this: But, source code article notes tags: Why result different? Its precisely reason mentioned end paragraph post: humans takes precedence. Diffbot visual learning robot, AI deducts tags actual rendered content looking source code far easily spiced SEO purposes. Is way tags source code, though, needs them? Furthermore, Diffbot recognize author SitePoint articles? Yes. With Custom API. Meta Tags Author Custom API The Custom API feature allows tweak existing Diffbot API liking adding new fields rules content extraction, allows create completely new APIs accessed dedicated URL, custom content processing. Go dev dashboard log token. Then, Custom API. Activate Create Rule tab bottom, input URL article crawling URL box, click Test. Your screen look like this: Youll immediately notice Author field empty. You tweak authorsearching rule clicking Edit it, finding Author element live preview window opens, click desired result. However, some, well, perfect CSS SitePoints end, difficult provide Diffbots API consistent path author name, especially clicking elements. Instead, add following rule manually: .contributorlarge .contributor_name click Save. Youll notice Preview window correctly populates Author field: In fact, new rule automatically applied SitePoint links token. If try preview SitePoint article, like one, youll notice Peter Nijssen successfully extracted: Ok, lets modify API further. We need article:tag values visible source code. Doing requires twostep process. Step 1: Define Collection A collection exactly sounds like collection values grabbed specific ruleset. Well collection MetaTags, following selector: meta[property=article:tag]. This means meta elements HTML property attribute value article:tag. Step 2: Define Collection Fields Collection fields individual entries collection case, tags. Click Add custom field collection, add following values: Click Save. Youll immediately access list Tags result window: Change final output diffbotDemo action this: dievar_dumpdata[objects][0][metaTags]; If refresh URL tested youll notice author meta tags values there. Heres output line code produces: We tags Conclusion Diffbot powerful data extractor web need consolidate sites single search index combining backends, want build news aggregator, idea URL preview web component, want regularly harvest contents competitors public pricing lists, Diffbot help. With dead simple API calls highly structured responses, youll running time. In later article, build brand new API Diffbot PHP, redo calls it. Well host library Packagist, easily install Composer. Stay tuned Bruno SkvorcBruno blockchain developer code auditor Croatia Masters Degrees Computer Science English Language Literature. Hes web developer 10 years JavaScript drove away. He runs cryptocurrency business makes blockchain tech approachable masses, runs Coinvendor, onboarding platform people easily buy cryptocurrency. Hes developer evangelist , San Franciscobased AIpowered machine vision web scraper. New books nowLearn valuable skills practical introduction Python programmingRead book nowGive options write higher quality CSS CSS Optimization Basics.Read book nowPopular BooksJump Start Git, 2nd EditionVisual Studio Code: EndtoEnd Editing Debugging Tools Web DevelopersForm Design PatternsStuff doPremiumForumsCorporate membershipsBecome affiliateRemote JobsAboutOur story usFAQPublish book usWrite article usAdvertiseLegalsTerms usePrivacy policyConnect 2000 2020 SitePoint Pty. Ltd.This site protected reCAPTCHA Google apply.
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"cryptocurrency", "hes", "developer", "evangelist", "san", "franciscobased", "aipowered", "machine", "vision", "web", "scraper", "new", "books", "nowlearn", "valuable", "skills", "practical", "introduction", "python", "programmingread", "book", "nowgive", "options", "write", "higher", "quality", "css", "css", "optimization", "basics", "read", "book", "nowpopular", "booksjump", "start", "git", "nd", "editionvisual", "studio", "code", "endtoend", "editing", "debugging", "tools", "web", "developersform", "design", "patternsstuff", "affiliateremote", "jobsaboutour", "story", "usfaqpublish", "book", "uswrite", "article", "useprivacy", "policyconnect", "sitepoint", "pty", "site", "protected", "recaptcha", "google", "apply" ]
1
NEGATIVE
361
https://www.news18.com/news/tech/google-brings-deepmind-ai-to-maps-for-improved-traffic-predictions-2848511.html
2020-09-06T00:00:00
en
Google Brings DeepMind AI to Maps For Improved Traffic Predictions
Google Brings DeepMind AI to Maps For Improved Traffic Predictions TECH CHANGE LANGUAGE English हिन्दी বাংলা मराठी ગુજરાતી ಕನ್ನಡ தமிழ் മലയാളം తెలుగు ਪੰਜਾਬੀ اردو অসমীয়া ଓଡ଼ିଆ WATCH LIVE TV DOWNLOAD News18 APP Follow Us On Trending Topics : #GaneshChaturthi#CricketCoronavirus#CovidData HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosHealth Tracker HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosHealth BusinessWorldEducation and CareerAstrologyStocksOpinionLifestyleSportsPodcastTravelFootballFoodCricketNext  LatestMoviesLifestyle Whispers IndiaPositive#RestartRightFREEDOM365IPL 2020NEET LatestMoviesLifestyle Whispers IndiaPositive#RestartRightFREEDOM365IPL 2020NEET News18 »tech 2-MIN READ Google Brings DeepMind AI to Maps For Improved Traffic Predictions By partnering with DeepMind, Google has been able to cut the percentage of inaccurate ETAs even further by using an ML architecture known as Graph Neural Networks. IANS Last Updated: September 4, 2020, 10:59 AM IST FOLLOW US ON: Facebook Twitter Instagram As people traverse over 1 billion km with help from Google Maps in more than 220 countries, the company is using artificial intelligence (AI) machine learning (ML) models to predict whether the traffic along your route is heavy or light, an estimated travel time, and estimated time of arrival (ETA). Google has partnered with DeepMind, an Alphabet AI research lab, to improve the accuracy of its traffic prediction capabilities. "Our ETA predictions already have a very high accuracy bar – in fact, we see that our predictions have been consistently accurate for over 97 percent of trips," said Johann Lau, Product Manager, Google Maps.By partnering with DeepMind, Google has been able to cut the percentage of inaccurate ETAs even further by using an ML architecture known as Graph Neural Networks. "This technique is what enables Google Maps to better predict whether or not you'll be affected by a slowdown that may not have even started yet," Lau said in a statement on Thursday. To predict what traffic will look like in the near future, Google Maps analyzes historical traffic patterns for roads over time. "We then combine this database of historical traffic patterns with live traffic conditions, using machine learning to generate predictions based on both sets of data," Lau said. Since the start of the Covid-19 pandemic, traffic patterns around the globe have shifted dramatically. "We saw up to a 50 percent decrease in worldwide traffic when lockdowns started in early 2020," Lau informed. To account for this sudden change, Google has updated its models to become more agile — automatically prioritising historical traffic patterns from the last two to four weeks and deprioritising patterns from any time before that. The predictive traffic models are also a key part of how Google Maps determines driving routes."If we predict that traffic is likely to become heavy in one direction, we'll automatically find you a lower-traffic alternative. We also look at a number of other factors, like road quality," Google said. Two other sources of information are important to making sure Google recommends the best routes -- authoritative data from local governments and real-time feedback from users. Authoritative data lets Google Maps know about speed limits, tolls, or if certain roads are restricted due to things like construction or Covid-19. "And incident reports from drivers let Google Maps quickly show if a road or lane is closed, if there's construction nearby, or if there's a disabled vehicle or an object on the road," Google added. Array ( ) Tags: alphabetalphabet ai research labcovid-19deepminddeepmind aiGoogleGoogle Mapsgoogle maps aigoogle maps etagoogle maps traffic predictiongoogle mpas traffic prediction First Published: September 4, 2020, 10:59 AM IST Next Story LIVE TV Recommended For You IIT Delhi Clears Air after Facing Flak for Job Ad Seeking Dog Handler with B.Tech Degree and CarJioFiber Effect: Are New Airtel Xstream Fiber Broadband Plans On The Way?Randeep Hooda Turns Into Marvel Superhero Thor, Shares the Video on InstagramIPL 2020: RCB Squad Analysis, Strengths, Weaknesses & Season PredictionCovid-19: Australian Cricketer Suspended by Team for Application of Sanitizer on Ball Photogallery Arjun Kapoor Tests Positive for Coronavirus; Confirms With a Social Media Post+52PHOTOSCSK's Thala Dhoni, Jadeja and Others Finally Start Team Practice in UAE+16PHOTOS Google Brings DeepMind AI to Maps For Improved Traffic PredictionsJioFiber Effect: Are New Airtel Xstream Fiber Broadband Plans On The Way?Reusable Chinese Spacecraft Lands Successfully - State MediaEpic Games Asks Court To Prevent What It Describes As Apple's 'retaliation' Live TV sections India Lifestyle Tech Politics Auto Sports Videos Football Press Release Latest News Security Forces Recover Bodies of Two Local Militants from River in Jammu and Kashmir's BandiporaJEE Done, NTA Gears Up for NEET on Sept 13 With Sanitisers & Social Distancing. Read Details HerePeople Are Reported Injured In Birmingham Stabbings, UK Police SayArjun Kapoor Tests Positive for CoronavirusPandemic Turns Summer Into European Tourism's Leanest Season About Us Privacy Policy Cookie Policy Disclaimer Contact Us Sitemap Complaint Redressal Advertise With Us Network 18 Sites News18 India CricketNext Bangla News Gujarati News Urdu News Marathi News TopperLearning Moneycontrol Firstpost CompareIndia CNBCTV18 History India MTV India In.com Clear Study Doubts Education Franchisee Opportunity CAprep18 CNN name, logo and all associated elements ® and © 2020 Cable News Network LP, LLLP. A Time Warner Company. All rights reserved. CNN and the CNN logo are registered marks of Cable News Network, LP LLLP, displayed with permission. Use of the CNN name and/or logo on or as part of NEWS18.com does not derogate from the intellectual property rights of Cable News Network in respect of them. © Copyright Network18 Media and Investments Ltd 2020. All rights reserved. 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Google Brings DeepMind AI to Maps For Improved Traffic Predictions
Google Brings DeepMind AI Maps For Improved Traffic Predictions TECH CHANGE LANGUAGE English WATCH LIVE TV DOWNLOAD News18 APP On Trending Topics : GaneshChaturthiCricketCoronavirusCovidData HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosHealth Tracker HomeCoronavirusPoliticsIndiaEntertainmentTechAutoBuzzVideosPhotosHealth BusinessWorldEducation CareerAstrologyStocksOpinionLifestyleSportsPodcastTravelFootballFoodCricketNext LatestMoviesLifestyle Whispers IndiaPositiveRestartRightFREEDOM365IPL 2020NEET LatestMoviesLifestyle Whispers IndiaPositiveRestartRightFREEDOM365IPL 2020NEET News18 tech 2MIN READ Google Brings DeepMind AI Maps For Improved Traffic Predictions By partnering DeepMind, Google able cut percentage inaccurate ETAs ML architecture known Graph Neural Networks. IANS Last Updated: September 4, 2020, 10:59 AM IST FOLLOW US ON: Facebook Twitter Instagram As people traverse 1 billion help Google Maps 220 countries, company artificial intelligence AI machine learning ML models predict traffic route heavy light, estimated travel time, estimated time arrival ETA. Google partnered DeepMind, Alphabet AI research lab, improve accuracy traffic prediction capabilities. Our ETA predictions high accuracy bar fact, predictions consistently accurate 97 percent trips, said Johann Lau, Product Manager, Google Maps.By partnering DeepMind, Google able cut percentage inaccurate ETAs ML architecture known Graph Neural Networks. This technique enables Google Maps better predict youll affected slowdown started yet, Lau said statement Thursday. To predict traffic look like near future, Google Maps analyzes historical traffic patterns roads time. We combine database historical traffic patterns live traffic conditions, machine learning generate predictions based sets data, Lau said. Since start Covid19 pandemic, traffic patterns globe shifted dramatically. We saw 50 percent decrease worldwide traffic lockdowns started early 2020, Lau informed. To account sudden change, Google updated models agile automatically prioritising historical traffic patterns weeks deprioritising patterns time that. The predictive traffic models key Google Maps determines driving routes.If predict traffic likely heavy direction, automatically lowertraffic alternative. We look number factors, like road quality, Google said. Two sources information important making sure Google recommends best routes authoritative data local governments realtime feedback users. Authoritative data lets Google Maps know speed limits, tolls, certain roads restricted things like construction Covid19. And incident reports drivers let Google Maps quickly road lane closed, theres construction nearby, theres disabled vehicle object road, Google added. Array Tags: alphabetalphabet ai research labcovid19deepminddeepmind aiGoogleGoogle Mapsgoogle maps aigoogle maps etagoogle maps traffic predictiongoogle mpas traffic prediction First Published: September 4, 2020, 10:59 AM IST Next Story LIVE TV Recommended For You IIT Delhi Clears Air Facing Flak Job Ad Seeking Dog Handler B.Tech Degree CarJioFiber Effect: Are New Airtel Xstream Fiber Broadband Plans On The Way?Randeep Hooda Turns Into Marvel Superhero Thor, Shares Video InstagramIPL 2020: RCB Squad Analysis, Strengths, Weaknesses Season PredictionCovid19: Australian Cricketer Suspended Team Application Sanitizer Ball Photogallery Arjun Kapoor Tests Positive Coronavirus; Confirms With Social Media Post52PHOTOSCSKs Thala Dhoni, Jadeja Others Finally Start Team Practice UAE16PHOTOS Google Brings DeepMind AI Maps For Improved Traffic PredictionsJioFiber Effect: Are New Airtel Xstream Fiber Broadband Plans On The Way?Reusable Chinese Spacecraft Lands Successfully State MediaEpic Games Asks Court To Prevent What It Describes As Apples retaliation Live TV sections India Lifestyle Tech Politics Auto Sports Videos Football Press Release Latest News Security Forces Recover Bodies Two Local Militants River Jammu Kashmirs BandiporaJEE Done, NTA Gears Up NEET Sept 13 With Sanitisers Social Distancing. Read Details HerePeople Are Reported Injured In Birmingham Stabbings, UK Police SayArjun Kapoor Tests Positive CoronavirusPandemic Turns Summer Into European Tourisms Leanest Season Policy Disclaimer Us Sitemap Complaint Redressal Advertise With Us Network 18 Sites News18 India CricketNext Bangla News Gujarati News Urdu News Marathi News TopperLearning Moneycontrol Firstpost CompareIndia CNBCTV18 History India MTV India Clear Study Doubts Education Franchisee Opportunity CAprep18 CNN name, logo associated elements 2020 Cable News Network LP, LLLP. 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. . Loading
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"object", "road", "google", "added", "array", "tags", "ai", "research", "labcovid", "aigooglegoogle", "mapsgoogle", "maps", "aigoogle", "maps", "etagoogle", "maps", "traffic", "mpas", "traffic", "prediction", "published", "september", "ist", "story", "live", "tv", "recommended", "iit", "delhi", "clears", "air", "facing", "flak", "job", "ad", "seeking", "dog", "handler", "tech", "degree", "carjiofiber", "effect", "new", "airtel", "xstream", "fiber", "broadband", "plans", "way", "randeep", "hooda", "turns", "marvel", "superhero", "thor", "shares", "video", "instagramipl", "rcb", "squad", "analysis", "strengths", "weaknesses", "season", "predictioncovid", "australian", "cricketer", "suspended", "team", "application", "sanitizer", "ball", "photogallery", "arjun", "kapoor", "tests", "positive", "coronavirus", "confirms", "social", "media", "post", "photoscsks", "thala", "dhoni", "jadeja", "finally", "start", "team", "practice", "uae", "photos", "google", "brings", "deepmind", "ai", "maps", "improved", "traffic", "effect", "new", "airtel", "xstream", "fiber", "broadband", "plans", "way", "reusable", "chinese", "spacecraft", "lands", "successfully", "state", "mediaepic", "games", "asks", "court", "prevent", "describes", "apples", "retaliation", "live", "tv", "sections", "india", "lifestyle", "tech", "politics", "auto", "sports", "videos", "football", "press", "release", "latest", "news", "security", "forces", "recover", "bodies", "local", "militants", "river", "jammu", "kashmirs", "bandiporajee", "nta", "gears", "neet", "sept", "sanitisers", "social", "distancing", "read", "details", "herepeople", "reported", "injured", "birmingham", "stabbings", "uk", "police", "sayarjun", "kapoor", "tests", "positive", "turns", "summer", "european", "tourisms", "leanest", "season", "policy", "disclaimer", "sitemap", "complaint", "redressal", "advertise", "network", "sites", "news", "india", "cricketnext", "bangla", "news", "gujarati", "news", "urdu", "news", "marathi", "news", "topperlearning", "moneycontrol", "firstpost", "compareindia", "cnbctv", "history", "india", "mtv", "india", "clear", "study", "doubts", "education", "franchisee", "opportunity", "caprep", "cnn", "logo", "associated", "elements", "cable", "news", "network", "lp", "lllp", "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", "network", "media", "investments", "loading" ]
1
POSITIVE
362
https://aindustryreports.com/2020/01/18/united-states-artificial-intelligence-ai-chips-market-report-2018/
2020-01-18T00:00:00
en
United States Artificial Intelligence (AI) Chips Market Report 2018 – Market Industry Reports
United States Artificial Intelligence (AI) Chips Market Report 2018 – Market Industry Reports Skip to content Menu Chemicals Health Heavy Industries Medical Technology Contact Market Industry Reports United States Artificial Intelligence (AI) Chips Market Report 2018 Tom Sam - January 18, 2020 - Heavy Industries In this report, the United States Artificial Intelligence (AI) Chips 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. United States Artificial Intelligence (AI) Chips 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/united-states-artificial-intelligence-ai-chips-market-report-2018 In this report, the United States Artificial Intelligence (AI) Chips market is valued at USD XX million in 2017 and is expected to reach USD XX million by the end of 2025, growing at a CAGR of XX% between 2017 and 2025. Geographically, this report splits the United States market into seven regions: The West Southwest The Middle Atlantic New England The South The Midwestwith sales (volume), revenue (value), market share and growth rate of Artificial Intelligence (AI) Chips in these regions, from 2013 to 2025 (forecast). United States Artificial Intelligence (AI) Chips market competition by top manufacturers/players, with Artificial Intelligence (AI) Chips sales volume, price, revenue (Million USD) and market share for each manufacturer/player; the top players including AMD (Advanced Micro Devices) Google Intel NVIDIA … On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into GPU ASIC FPGA CPUOn the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market share and growth rate for each application, including Electronics Automotive Consumer Goods Browse full research report at https://www.crystalmarketreport.com/united-states-artificial-intelligence-ai-chips-market-report-2018 Reasons to Buy This Research Report Complete access to United States Artificial Intelligence (AI) Chips market size, growth rate and forecast to 2025 In-depth quantitative information on key regional United States Artificial Intelligence (AI) Chips markets including North America, Europe, MEA and Asia Pacific United States Artificial Intelligence (AI) Chips Market estimates and forecasts for key products/applications on a regional basis Facility to obtain country level information for complete United States Artificial Intelligence (AI) Chips market segmentation Key trends, drivers and restraints for global United States Artificial Intelligence (AI) Chips market Challenges to market growth for United States Artificial Intelligence (AI) Chips manufacturers Key market opportunities of United States Artificial Intelligence (AI) Chips Industry About Crystal Market Reports Crystal Market Reports is a distributor of market research spanning 160 industries. Our extensive database consists of over 400,000 quality publications sourced from 400 plus publishers, this puts our research specialists in the unique position of been able to offer truly unbiased advice on what research provides the most valuable insights. Contact Info.:- Address: 90 State Street Suite 700 Albany New York 12207 Email: [email protected] Web: https://www.crystalmarketreport.com Post navigation Previous PostPrevious United States Digital Signage Device Market Report 2018Next PostNext United States Cell Phone Signal Boosters Market Report 2018 Copyright © 2020 Market Industry Reports - Powered by FilaThemes
United States Artificial Intelligence (AI) Chips Market Report 2018
United States Artificial Intelligence AI Chips Market Report 2018 Market Industry Reports Skip content Menu Chemicals Health Heavy Industries Medical Technology Market Industry Reports United States Artificial Intelligence AI Chips Market Report 2018 Tom Sam January 18, 2020 Heavy Industries In report, United States Artificial Intelligence AI Chips market valued USD XX million 2017 expected reach USD XX million end 2025, growing CAGR XX 2017 2025. United States Artificial Intelligence AI Chips market broken major regions, complete market estimates basis productsapplications regional basis. Browse research report In report, United States Artificial Intelligence AI Chips market valued USD XX million 2017 expected reach USD XX million end 2025, growing CAGR XX 2017 2025. Geographically, report splits United States market seven regions: The West Southwest The Middle Atlantic New England The South The Midwestwith sales volume, revenue value, market share growth rate Artificial Intelligence AI Chips regions, 2013 2025 forecast. United States Artificial Intelligence AI Chips market competition manufacturersplayers, Artificial Intelligence AI Chips sales volume, price, revenue Million USD market share manufacturerplayer; players including AMD Advanced Micro Devices Google Intel NVIDIA On basis product, report displays production, revenue, price, market share growth rate type, primarily split GPU ASIC FPGA CPUOn basis end usersapplications, report focuses status outlook major applicationsend users, sales volume, market share growth rate application, including Electronics Automotive Consumer Goods Browse research report Reasons Buy This Research Report Complete access United States Artificial Intelligence AI Chips market size, growth rate forecast 2025 Indepth quantitative information key regional United States Artificial Intelligence AI Chips markets including North America, Europe, MEA Asia Pacific United States Artificial Intelligence AI Chips Market estimates forecasts key productsapplications regional basis Facility obtain country level information complete United States Artificial Intelligence AI Chips market segmentation Key trends, drivers restraints global United States Artificial Intelligence AI Chips market Challenges market growth United States Artificial Intelligence AI Chips manufacturers Key market opportunities United States Artificial Intelligence AI Chips 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 United States Digital Signage Device Market Report 2018Next PostNext United States Cell Phone Signal Boosters Market Report 2018 2020 Market Industry Reports Powered FilaThemes
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https://theenterpriseleader.com/2020/11/27/matrix-ai-network-man-one-day-volume-tops-91945-00.html
2020-11-27T00:00:00
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Matrix AI Network (MAN) One Day Volume Tops $91,945.00 - Enterprise Leader
Matrix AI Network (MAN) One Day Volume Tops $91,945.00 - Enterprise Leader Home Privacy Policy About/Contact Business Economy Health Markets Technology Daily Ratings & News for Matrix AI Network Complete the form below to receive the latest headlines and analysts' recommendations for Matrix AI Network with our free daily email newsletter: Follow @EnterpriseLeade Recent Posts Aurora Cannabis (TSE:ACB) Price Target Lowered to C$14.00 at CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How to Open DAA, VCD, NRG, IMG, MDF Files Smart or Risky? 3 Ways to Tell if Your Next Business Move will be a Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Flagstar Bancorp Acquires 52 Retails Branches Belonging To Wells Fargo UK Government Unloads Another Stake In Royal Bank Of Scotland (RBS); Bailout Losses Reach $5.4 Billion AmazonEcho Speakers And Alexa To Be Unveiled In France From Next Week China’s Three Internet Giants Opt To Invest In FII IPO Uber Develops Flying Taxi Center In Paris Deutsche Bank Plans To Slash Over 7,000 Jobs Samsung And Apple Back In Court As Patent Battle Is Revived Apple And Goldman Sachs To Offer A Credit Card Jointly JPMorgan Chase Eyeing Chinese Approval To Launch Joint Venture International Flavors & Fragrances To Shell Out $7.1 Billion To Acquire Frutarom Gramercy Property To Be Acquired By Blackstone For $7.6 Billion Boeing To Spend $3.2 Billion On KLX Acquisition Guitar Maker Gibson On The Verge of Bankruptcy Israeli Startup Sues Apple Over Dual-Lens Camera Technology Matrix AI Network (MAN) One Day Volume Tops $91,945.00 Posted by Liza Goodheart on Nov 27th, 2020 Matrix AI Network (CURRENCY:MAN) traded down 32.8% against the dollar during the 1-day period ending at 11:00 AM ET on November 27th. During the last seven days, Matrix AI Network has traded down 21.1% against the dollar. Matrix AI Network has a market cap of $1.54 million and $91,945.00 worth of Matrix AI Network was traded on exchanges in the last 24 hours. One Matrix AI Network token can currently be purchased for about $0.0072 or 0.00000043 BTC on popular exchanges including HADAX, CoinEgg, DDEX and Kucoin. Here’s how other cryptocurrencies have performed during the last 24 hours: Get Matrix AI Network alerts: Litecoin (LTC) traded 6.1% lower against the dollar and now trades at $67.32 or 0.00402229 BTC. UNUS SED LEO (LEO) traded up 0.8% against the dollar and now trades at $1.34 or 0.00008009 BTC. Dogecoin (DOGE) traded 2.6% lower against the dollar and now trades at $0.0031 or 0.00000019 BTC. Verge (XVG) traded 4.3% lower against the dollar and now trades at $0.0063 or 0.00000037 BTC. Bytom (BTM) traded 2% lower against the dollar and now trades at $0.0628 or 0.00000375 BTC. Syscoin (SYS) traded 7.2% lower against the dollar and now trades at $0.0743 or 0.00000444 BTC. XeniosCoin (XNC) traded 1% higher against the dollar and now trades at $0.46 or 0.00002719 BTC. Polymath (POLY) traded 2.3% lower against the dollar and now trades at $0.0630 or 0.00000377 BTC. Hellenic Coin (HNC) traded 6.2% lower against the dollar and now trades at $0.46 or 0.00002763 BTC. TTC Protocol (TTC) traded down 5.3% against the dollar and now trades at $0.0992 or 0.00001073 BTC. About Matrix AI Network Matrix AI Network (CRYPTO:MAN) is a proof-of-work (PoW) token that uses the Scrypt hashing algorithm. Its genesis date was June 26th, 2017. Matrix AI Network’s total supply is 647,450,056 tokens and its circulating supply is 214,302,042 tokens. Matrix AI Network’s official Twitter account is @peoplecoinnews and its Facebook page is accessible here. The Reddit community for Matrix AI Network is /r/MatrixAINetwork and the currency’s Github account can be viewed here. The official website for Matrix AI Network is www.matrix.io. Matrix AI Network Token Trading Matrix AI Network can be traded on these cryptocurrency exchanges: Kucoin, DDEX, Ethfinex, HitBTC, LBank, HADAX, Gate.io, CoinEgg and IDEX. It is usually not possible to purchase alternative cryptocurrencies such as Matrix AI Network directly using US dollars. Investors seeking to acquire Matrix AI Network should first purchase Bitcoin or Ethereum using an exchange that deals in US dollars such as Changelly, GDAX or Gemini. Investors can then use their newly-acquired Bitcoin or Ethereum to purchase Matrix AI Network using one of the exchanges listed above. Receive News & Updates for Matrix AI Network Daily - Enter your email address below to receive a concise daily summary of the latest news and updates for Matrix AI Network and related cryptocurrencies with MarketBeat.com's FREE CryptoBeat newsletter.  « PREVIOUSUSD Coin Reaches Market Capitalization of $2.90 Billion (USDC)  » NEXTOrmeus Ecosystem (ECO) 1-Day Trading Volume Hits $189,502.00 Latest News Aurora Cannabis Price Target Lowered to C$14.00 at CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How to Open DAA, VCD, NRG, IMG, MDF Files Smart or Risky? 3 Ways to Tell if Your Next Business Move will be a Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Business Economy Health Markets Technology © 2006-2020 Enterprise Leader
Matrix AI Network (MAN) One Day Volume Tops $91,945.00
Matrix AI Network MAN One Day Volume Tops 91,945.00 Enterprise Leader Home About Business Economy Health Markets Technology Daily Ratings News Matrix AI Network Complete form receive latest headlines analysts recommendations Matrix AI Network free daily email newsletter: Follow Recent Posts Aurora Cannabis TSE:ACB Price Target Lowered C14.00 CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How Open DAA, VCD, NRG, IMG, MDF Files Smart Risky? 3 Ways Tell Your Next Business Move Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Flagstar Bancorp Acquires 52 Retails Branches Belonging To Wells Fargo UK Government Unloads Another Stake In Royal Bank Of Scotland RBS; Bailout Losses Reach 5.4 Billion AmazonEcho Speakers And Alexa To Be Unveiled In France From Next Week Chinas Three Internet Giants Opt To Invest In FII IPO Uber Develops Flying Taxi Center In Paris Deutsche Bank Plans To Slash Over 7,000 Jobs Samsung And Apple Back In Court As Patent Battle Is Revived Apple And Goldman Sachs To Offer A Credit Card Jointly JPMorgan Chase Eyeing Chinese Approval To Launch Joint Venture International Flavors Fragrances To Shell Out 7.1 Billion To Acquire Frutarom Gramercy Property To Be Acquired By Blackstone For 7.6 Billion Boeing To Spend 3.2 Billion On KLX Acquisition Guitar Maker Gibson On The Verge Bankruptcy Israeli Startup Sues Apple Over DualLens Camera Technology Matrix AI Network MAN One Day Volume Tops 91,945.00 Posted Liza Goodheart Nov 27th, 2020 Matrix AI Network CURRENCY:MAN traded 32.8 dollar 1day period ending 11:00 AM ET November 27th. During seven days, Matrix AI Network traded 21.1 dollar. Matrix AI Network market cap 1.54 million 91,945.00 worth Matrix AI Network traded exchanges 24 hours. One Matrix AI Network token currently purchased 0.0072 0.00000043 BTC popular exchanges including HADAX, CoinEgg, DDEX Kucoin. Heres cryptocurrencies performed 24 hours: Get Matrix AI Network alerts: Litecoin LTC traded 6.1 lower dollar trades 67.32 0.00402229 BTC. UNUS SED LEO LEO traded 0.8 dollar trades 1.34 0.00008009 BTC. Dogecoin DOGE traded 2.6 lower dollar trades 0.0031 0.00000019 BTC. Verge XVG traded 4.3 lower dollar trades 0.0063 0.00000037 BTC. Bytom BTM traded 2 lower dollar trades 0.0628 0.00000375 BTC. Syscoin SYS traded 7.2 lower dollar trades 0.0743 0.00000444 BTC. XeniosCoin XNC traded 1 higher dollar trades 0.46 0.00002719 BTC. Polymath POLY traded 2.3 lower dollar trades 0.0630 0.00000377 BTC. Hellenic Coin HNC traded 6.2 lower dollar trades 0.46 0.00002763 BTC. TTC Protocol TTC traded 5.3 dollar trades 0.0992 0.00001073 BTC. About Matrix AI Network Matrix AI Network CRYPTO:MAN proofofwork PoW token uses Scrypt hashing algorithm. Its genesis date June 26th, 2017. Matrix AI Networks total supply 647,450,056 tokens circulating supply 214,302,042 tokens. Matrix AI Networks official Twitter account Facebook accessible here. The Reddit community Matrix AI Network rMatrixAINetwork currencys Github account viewed here. The official website Matrix AI Network Matrix AI Network Token Trading Matrix AI Network traded cryptocurrency exchanges: Kucoin, DDEX, Ethfinex, HitBTC, LBank, HADAX, , CoinEgg IDEX. It usually possible purchase alternative cryptocurrencies Matrix AI Network directly US dollars. Investors seeking acquire Matrix AI Network purchase Bitcoin Ethereum exchange deals US dollars Changelly, GDAX Gemini. Investors use newlyacquired Bitcoin Ethereum purchase Matrix AI Network exchanges listed above. Receive News Updates Matrix AI Network Daily Enter email address receive concise daily summary latest news updates Matrix AI Network related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSUSD Coin Reaches Market Capitalization 2.90 Billion USDC NEXTOrmeus Ecosystem ECO 1Day Trading Volume Hits 189,502.00 Latest News Aurora Cannabis Price Target Lowered C14.00 CIBC GE Announces Its Plan To Sell The Distributed Power Business To Advent International Ebang Communication Resorts To The Filing Of An IPO In Hong Kong How Open DAA, VCD, NRG, IMG, MDF Files Smart Risky? 3 Ways Tell Your Next Business Move Mistake Foxconn Launches Investigation After Reports Of Harsh Working Conditions At Its Factory Business Economy Health Markets Technology 20062020 Enterprise Leader
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https://www.tmcnet.com/usubmit/2020/07/13/9183592.htm
2020-07-15T00:00:00
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New Report from Corinium and FICO Signals Increased Demand for Artificial Intelligence in the Age of COVID-19
× New Report from Corinium and FICO Signals Increased Demand for Artificial Intelligence in the Age of COVID-19 Menu CONTACT | LOGIN | SIGNUP | NEWSLETTERS Communities Build Your Own » Business VoIP » Call Center Ad Tech » Call Center Management » Call Center Scheduling » Power Protection » SD-WAN » Shaping Influence » Space IT Bridge » The Blockchain Domain » Transforming Network Infrastructure » Business VoIP » UC Network Management » Virtual PBX » Workforce Management PublicationsTech Magazines Internet Telephony Magazine CUSTOMER Cloud Computing Magazine IoT EVOLUTION MAGAZINE Events2021 TechSuperShow 5G EXPO February 9 - 12, 2021 Connected Real Estate Summit February 9 - 12, 2021 Industrial IoT Conference February 9 - 12, 2021 The Intelligence Edge Expo February 9 - 12, 2021 IoT Evolution Expo February 9 - 12, 2021 ITEXPO February 9 - 12, 2021 Open Source World February 9 - 12, 2021 CVx (ChannelVision Expo) February 9 - 12, 2021 The Blockchain Event February 9 - 12, 2021 SD-WAN Expo February 9 - 12, 2021 The Smart City Event February 9 - 12, 2021 MSPExpo February 9 - 12, 2021 Future of Work Expo February 9 - 12, 2021 AwardsApply now TechnologiesIndustries CustomerZone360 DevsWorld HealthTechzone Information Technology MobilityTechzone MSP Today NFVZone TechZone360 WebRTC World MoreResources TMCnet Resources Account-based marketing (ABM) ApexTechServices Awards Blogs Content Marketing Research Reports Snapshots TMCLabs Videos Webinars White Papers About TMCnet Contributors Contact Us Corporate News Directions Management Media Kit PR Resources TMCnet Services Technology Marketing Corporation Subscriptions FREE Magazine Subscriptions FREE eNewsletters News Alerts and Custom RSS Feeds HOT TOPICS NFV Pandemic Tech News UC NETWORK MANAGEMENT MARKETS SD-WAN THE BLOCKCHAIN DOMAIN UC NETWORK MANAGEMENT WHITE PAPERS WEBINARS VIDEOS MEDIA KIT FREE eNEWSLETTERS TMCnet News New Report from Corinium and FICO Signals Increased Demand for Artificial Intelligence in the Age of COVID-19 [July 13, 2020] New Report from Corinium and FICO Signals Increased Demand for Artificial Intelligence in the Age of COVID-19 SAN JOSE, Calif., July 13, 2020 /PRNewswire/ -- Highlights: FICO and Corinium today released a new report that has found the demand for AI, data, and digital tools has soared in the wake of the COVID-19 pandemic The Building AI-Driven Enterprises in a Disrupted Environment report surveyed more than 100 c-level data and analytic executives and conducted in-depth interviews to understand how organizations are developing and deploying AI capabilities 93 percent of respondents said that ethical considerations represented a barrier to AI adoption within their organizationsToday, FICO, a global analytics software firm, released  a new report from the market intelligence firm Corinium that found the demand for artificial intelligence (AI), data, and digital tools is soaring as the COVID-19 pandemic continues to put a strain on many enterprises.   Conducted by Corinium and sponsored by FICO, the report - Building AI-Driven Enterprises in a Disrupted Environment - surveyed more than 100 c-level analytic and data executives and conducted in-depth interviews to understand how organizations are developing and deploying AI capabilities.  The study found that the uncertainties caused by the pandemic have forced many organizations to adopt a more committed, disciplined approach to becoming an AI-driven enterprise, with more than half (57 percent) of the chief data and analytics officers saying that COVID-19 has increased demand for AI, digital products and tools.  Enterprises are seeking new AI-driven ways to mitigate risks and navigate through uncharted territories in the current economic environment. The report reveals the central role AI has in shaping the future as global markets work through and begin to recover from COVID-19; as well as how to mitigate future risk and disruption going forward. Some key findings include: Organizations Rally to Add AI CapacityMost data-driven enterprises are now aggressively investing in their AI capabilities, in fact 63 percent of respondents have started scaling AI capaciy within their organization. However, enterprise chief data and chief analytics officers are facing a wide range of challenges as they increasingly look to grow AI. 93 percent say ethical considerations represent a barrier to AI adoption. Other barriers identified include: Building a team with the right skill set (66 percent) Integrating new technology with legacy systems (62 percent) Regulatory and compliance risks (60 percent)Ethical and Responsible AIMore than 93 percent of respondents said that ethical considerations represented a barrier to AI adoption within their organizations. However, as pointed out in the report, "ensuring AI is used responsibly and ethically in business context is a huge, but critical task." Half of survey respondents said they have strong model governance and management rules in place to support ethical AI usage, making this the most common approach to tackling the challenge. However, more work is needed to ensure ethical AI usage as 67 percent of AI leaders don't monitor their models to ensure their continued accuracy and ethical treatment. "Being ethical is not being blind to what's in the model," said Dr. Scott Zoldi, chief analytics officer, FICO. "Organizations need to ensure that AI is designed robustly and is explainable, transparent, built ethically and governed by auditable, recorded development process that is referenced as data shifts over time." When asked which business areas are pushing for greater AI responsibility with an organization, data and analytics leader said: Board of directors (60 percent) Data, analytics and AI (53 percent) Legal or compliance (52 percent)AI Enables Post-COVID Competitive AdvantageFrom better customer experiences and reducing financial crime to automating business processes and improving risk management, respondents believe AI will help their organizations secure a competitive advantage. A complete copy of the FICO sponsored report, Building AI-Driven Enterprises in a Disrupted Environment, can be downloaded here. About FICOFICO (NYSE: FICO) powers decisions that help people and businesses around the world prosper. Founded in 1956 and based in Silicon Valley, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 195 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in more than 100 countries do everything from protecting 2.6 billion payment cards from fraud, to helping people get credit, to ensuring that millions of airplanes and rental cars are in the right place at the right time. Learn more at http://www.fico.com. Join the conversation at https://twitter.com/fico & http://www.fico.com/en/blogs/. For FICO news and media resources, visit www.fico.com/news. FICO is a registered trademark of Fair Isaac Corporation in the United States and in other countries. View original content to download multimedia:http://www.prnewswire.com/news-releases/new-report-from-corinium-and-fico-signals-increased-demand-for-artificial-intelligence-in-the-age-of-covid-19-301091884.html SOURCE FICO [ Back To TMCnet.com's Homepage ] Videos TMC Newsroom 11/10/2009 TMC Newsroom 01/11/2010 Interview with VoIP Innovations 02/21/2012 White Papers Customer Focus: An Interview with Smart Metering Systems PLC Mission-Critical Communications Networks for Public Safety: Technical White Paper Work more effectively on the go with mobile file sharing and access Podcasts Originating Profit Phone.com Transforms Small Businesses Using VoIP and the Cloud Changing the User Experience with HD Voice Sessions Keynote Presentation Keynote Presentation Date: 2/10/21 Time: 11:30am Solutions: Smarter Track Utilizing Machine Learning to Predict Public Transportation Times Date: 2/11/21 Time: 3:00-3:45pm Industrial IoT Track Supply Chain Date: 2/09/21 Time: 3:00-3:45pm UPCOMING WEBINARS Dialing back Telecoms: How to drive our industry back towards an open ecosystem REGISTER NOW The Role of MSPs in Smart Working REGISTER NOW Series 1: What is SASE? 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New Report from Corinium and FICO Signals Increased Demand for Artificial Intelligence in the Age of COVID-19
New Report Corinium FICO Signals reased Demand Artificial Intelligence Age COVID19 Menu CONTACT LOGIN SIGNUP NEWSLETTERS Communities Build Your Own Business VoIP Call Center Ad Tech Call Center Management Call Center Scheduling Power Protection SDWAN Shaping Influence Space IT Bridge The Blockchain Domain Transforming Network Infrastructure Business VoIP UC Network Management Virtual PBX Workforce Management PublicationsTech Magazines Internet Telephony Magazine CUSTOMER Cloud Computing Magazine IoT EVOLUTION MAGAZINE Events2021 TechSuperShow 5G EXPO February 9 12, 2021 Connected Real Estate Summit February 9 12, 2021 Industrial IoT Conference February 9 12, 2021 The Intelligence Edge Expo February 9 12, 2021 IoT Evolution Expo February 9 12, 2021 ITEXPO February 9 12, 2021 Open Source World February 9 12, 2021 CVx ChannelVision Expo February 9 12, 2021 The Blockchain Event February 9 12, 2021 SDWAN Expo February 9 12, 2021 The Smart City Event February 9 12, 2021 MSPExpo February 9 12, 2021 Future Work Expo February 9 12, 2021 AwardsApply TechnologiesIndustries CustomerZone360 DevsWorld HealthTechzone Information Technology MobilityTechzone MSP Today NFVZone TechZone360 WebRTC World MoreResources TMCnet Resources Accountbased marketing ABM ApexTechServices Awards Blogs Content Marketing Research Reports Snapshots TMCLabs Videos Webinars White Papers About TMCnet Contributors Us Corporate News Directions Management Media Kit PR Resources TMCnet Services Technology Marketing Corporation Subscriptions FREE Magazine Subscriptions FREE eNewsletters News Alerts Custom RSS Feeds HOT TOPICS NFV Pandemic Tech News UC NETWORK MANAGEMENT MARKETS SDWAN THE BLOCKCHAIN DOMAIN UC NETWORK MANAGEMENT WHITE PAPERS WEBINARS VIDEOS MEDIA KIT FREE eNEWSLETTERS TMCnet News New Report Corinium FICO Signals reased Demand Artificial Intelligence Age COVID19 [July 13, 2020] New Report Corinium FICO Signals reased Demand Artificial Intelligence Age COVID19 SAN JOSE,Calif., July 13, 2020 PRNewswire Highlights: FICO Corinium today released new report demand AI, data, digital tools soared wake COVID19 pandemic The Building AIDriven Enterprises Disrupted Environment report surveyed 100 clevel data analytic executives conducted indepth interviews understand organizations developing deploying AI capabilities 93 percent respondents said ethical considerations represented barrier AI adoption organizationsToday, FICO, global analytics software firm, released new report market intelligence firm Corinium demand artificial intelligence AI, data, digital tools soaring COVID19 pandemic continues strain enterprises. Conducted Corinium sponsored FICO, report Building AIDriven Enterprises Disrupted Environment surveyed 100 clevel analytic data executives conducted indepth interviews understand organizations developing deploying AI capabilities. The study uncertainties caused pandemic forced organizations adopt committed, disciplined approach AIdriven enterprise, half 57 percent chief data analytics officers saying COVID19 increased demand AI, digital products tools. Enterprises seeking new AIdriven ways mitigate risks navigate uncharted territories current economic environment. The report reveals central role AI shaping future global markets work begin recover COVID19; mitigate future risk disruption going forward. Some key findings include: Organizations Rally Add AI CapacityMost datadriven enterprises aggressively investing AI capabilities, fact 63 percent respondents started scaling AI capaciy organization. However, enterprise chief data chief analytics officers facing wide range challenges increasingly look grow AI. 93 percent ethical considerations represent barrier AI adoption. Other barriers identified include: Building team right skill set 66 percent Integrating new technology legacy systems 62 percent Regulatory compliance risks 60 percentEthical Responsible AIMore 93 percent respondents said ethical considerations represented barrier AI adoption organizations. However, pointed report, ensuring AI responsibly ethically business context huge, critical task. Half survey respondents said strong model governance management rules place support ethical AI usage, making common approach tackling challenge. However, work needed ensure ethical AI usage 67 percent AI leaders dont monitor models ensure continued accuracy ethical treatment. Being ethical blind whats model, said Dr. Scott Zoldi, chief analytics officer, FICO. Organizations need ensure AI designed robustly explainable, transparent, built ethically governed auditable, recorded development process referenced data shifts time. When asked business areas pushing greater AI responsibility organization, data analytics leader said: Board directors 60 percent Data, analytics AI 53 percent Legal compliance 52 percentAI Enables PostCOVID Competitive AdvantageFrom better customer experiences reducing financial crime automating business processes improving risk management, respondents believe AI help organizations secure competitive advantage. A complete copy FICO sponsored report, Building AIDriven Enterprises Disrupted Environment, downloaded here. About FICOFICO NYSE:FICO powers decisions help people businesses world prosper. Founded 1956 based Silicon Valley, company pioneer use predictive analytics data science improve operational decisions. FICO holds 195 US foreign patents technologies increase profitability, customer satisfaction growth businesses financial services, telecommunications, health care, retail industries. Using FICO solutions, businesses 100 countries protecting 2.6 billion payment cards fraud, helping people credit, ensuring millions airplanes rental cars right place right time.Learn Join conversation For FICO news media resources, visit FICO registered trademark Fair Isaac Corporation inthe United Statesand countries. View original content download multimedia: SOURCE FICO [ Back To Home ] Videos TMC Newsroom 11102009 TMC Newsroom 01112010 Interview VoIP Innovations 02212012 White Papers Customer Focus: An Interview Smart Metering Systems PLC MissionCritical Communications Networks Public Safety: Technical White Paper Work effectively mobile file sharing access Podcasts Originating Profit Transforms Small Businesses Using VoIP Cloud Changing User Experience HD Voice Sessions Keynote Presentation Keynote Presentation Date:21021 Time:11:30am Solutions: Smarter Track Utilizing Machine Learning Predict Public Transportation Times Date:21121 Time:3:003:45pm Industrial IoT Track Supply Chain Date:20921 Time:3:003:45pm UPCOMING WEBINARS Dialing Telecoms: How drive industry open ecosystem REGISTER NOW The Role MSPs Smart Working REGISTER NOW Series 1: What SASE? Why Matters More Now Ever REGISTER NOW eSIM IoT: Connectivity Continuity Without Borders REGISTER NOW VIEW ALL WEBINARS FEATURED WHITEPAPERS 5 WAYS TO CHANGE A TOXIC CALL CENTER ENVIRONMENT DOWNLOAD NOW The Total Economic Impact Of RingCentral Center DOWNLOAD NOW The collaborative contact center: A disruptive approach customer engagement DOWNLOAD NOW Subscription Impact Report: COVID19 DOWNLOAD NOW 5 Signs You Need Move Your CC Cloud DOWNLOAD NOW Sing receive updates TMCnet news 2 Trap Falls Road Suite 106, Shelton, CT 06484 USA Ph: 12038526800, 8002436002 General comments: tmc Comments site: webmaster Quick Links Communities PUBLICATIONS EVENTS AWARDS TECHNOLOGIES BLOGS SUBSCRIPTIONS FREE Magazine Subscriptions FREE eNewsletters News Alerts Custom RSS Feeds FREE eNewsletters CLICK HERE Powered TMC 2020 Technology Marketing Corporation.
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Four Applications of AI in Healthcare | Philips Healthcare
Four Applications of AI in Healthcare | Philips Healthcare Home Products & Services Back Products & Services Products Products & Services Products Advanced Molecular Imaging Breathing and Respiratory care Computed Tomography Machines & Solutions Diagnostic ECG Diagnostic informatics Emergency Care & Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Devices Image Guided Therapy Systems Mother & Child Care MRI Systems & Solutions Oncology Pathology Patient Monitoring Radiation Oncology Radiography | X-ray & Fluoroscopy Solutions Refurbished Systems Sleep and Respiratory Care Ultrasound Value Products Ventilation Show all Services Products & Services Services Planning services Implementation services Optimization services Maintenance services Upgrading services Enabling technologies Healthcare consulting 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 ​foundation-generic.search Search terms No bounds Health knows no bounds Applications of AI in Healthcare to improve efficiency Let's talk Health professionals: talk to us about your biggest challenges Health professionals: talk to us about breaking boundaries Fill out our form or call us at 978-659-3500 (8 a.m. - 6 p.m. EST) Let's talk Executive Insights series Podcast #98 How AI can bring productivity to medical imaging with Philips executive Homer Pien Listen to the podcast now The potential of AI to improve healthcare delivery is limitless with a wide range of applications and potential in the radiology department, from improved diagnosis, enhanced workflows which will, inevitably, lead to a change in the radiologist’s role. Join host Dennis de Costa as he discusses the future of AI in healthcare with Homer Pien, Chief Technology Officer for Imaging at Philips. Four applications of AI in healthcare   Healthcare is more complex today. Stretched by increasing costs1, a global deficit of health workers2 and operational inefficiencies, the need to address demand for high-quality and efficient care is urgent. For healthcare IT leaders, the goal of operational efficiency looms large alongside the pressure to do more with the huge volumes of data they collect enterprise wide.   A health data insight deficit   While AI has been around for decades, most healthcare organizations are still at the very beginning of their AI journeys. AI is now gaining traction in healthcare because of its ability to help generate insights from large amounts of data – offering a much-needed helping hand to overburdened staff.   The amount and granularity of the stored digital medical and healthcare data a CIO oversees has increased exponentially, but just a fraction of it is being used to improve the efficiency and quality of care. This huge growth in volume and diversity is a concern for health IT leaders because the speed of data accumulation is far outpacing the ability to analyze it.   “What healthcare providers have is incredible data, but very few insights,” says Roy Smythe MD, Chief Medical Officer for Health Informatics, Philips Healthcare. “And what clinicians really want is insights – to tell them what they really need to know. For example, among the 2000 diabetics in their patient population, who are the 10 that they need to bring in for a different intervention? Those are insights that they need.”   AI applications in healthcare   The potential of AI to improve the healthcare delivery system is limitless. It offers a unique opportunity to make sense out of clinical data to enable fully integrated healthcare that is more predictive and precise. Getting all aspects of AI-enabled solutions right requires extensive collaboration between clinicians, data scientists, interaction designers, and other experts. Here are four applications of artificial intelligence to transform healthcare delivery:   1. Improve operational efficiency and performance   On a departmental and enterprise level, the ability of AI to sift through large amounts of data can help hospital administrators to optimize performance, drive productivity, and improve the use of existing resources, generating time and cost savings. For example, in a radiology department, AI could make a difference in the management of referrals, patient scheduling, and exam preparations. Improvements here can help to enhance patient experience and will allow a more effective and efficient use of the facilities at examination sites.   2. Aiding clinical decision support   AI-enabled solutions can help to combine large amounts of clinical data to generate a more holistic view of patients. This supports healthcare providers in their decision making, leading to better patient outcomes and improved population health. “The need for insights and for those insights to lead to clinical operations support is tremendous,” says Dr. Smythe. “Whether that is the accuracy of interventions or the effective use of manpower – these are things that physicians struggle with. That is the imperative.”   3. Enabling population health management   Combining clinical decision support systems with patient self-management, population health management can also benefit from AI. Using predictive analytics with patient populations, healthcare providers will be able to take preventative action, reduce health risk, and save unnecessary costs.   As the population ages, so does a desire to age in place when possible, and to maximize not only disease management, but quality of life as we do so. The possibility of aggregating, analyzing and activating health data from millions of consumers will enable hospitals to see how socio-economic, behavioral, genetic and clinical factors correlate and can offer more targeted, preventative healthcare outside the four walls of the hospital.   4. Empowering consumers, improving patient care   As recently as 2015 patients reported physically carrying x-rays, test results, and other critical health data from one healthcare provider’s office to another3. The burden of multiple referrals, explaining symptoms to new physicians and finding out that their medical history has gaps in it were all too real. Patients now are demanding more personalized, sophisticated and convenient healthcare services.   The great motivation behind AI in healthcare is that increasingly, as patients become more engaged with their own healthcare and better understand their own needs, healthcare will have to take steps towards them and meet them where they are, providing them with health services when they need them, not just when they are ill.   Share this page with a colleague 1 US Centers for Medicare & Medicaid Services 2 WHO, ‘Global health workforce shortage to reach 12.9 million in coming decades’ 3 HBR, ‘Giving Patients an Active Role in Their Health Care’                 Download your copy of “Using AI to meet operational, clinical goals” now You might also be interested in: • Whitepaper: interoperability in healthcare at an enterprise wide level • Executive insights: Five tips for preventing healthcare data breaches Watch video Watch: Benefits of clinical informatics and artificial intelligence Meeting the top challenges in health informatics Visit the Philips health informatics hub Building partnerships. Breaking barriers. We work in partnership with health systems to help drive innovation, support their financial and operational goals, and enable their transformation in a value-driven era. The result can be both operational excellence and more connected, predictive and personalized care delivery.   See how we can support you across your enterprise Phoenix Children’s Hospital partnership Children’s Hospital & Medical Center partnership Banner Health partnership AU Health partnership Marin General Hospital partnership WMC Health partnership Bon Secours partnership MUSC Health partnership Mackenzie Health partnership Let's talk What are your biggest challenges in informatics? Whether its interoperability across your enterprise or achieving greater standardization of care, we partner with you to deeply understand your infrastructure and operations, and deliver solutions that help your transform your health system.   Reach out using the form below to get started. How can we help you? * Please select* Приобретение медицинского оборудования, консалтинг Сервисная поддержка медицинского оборудования Потребительские товары Световые решения Работа в Philips Je suis intéressé(e) par les solutions/produits de santé - pour les professionnels de santé. Je recherche une assistance technique pour les solutions/produits de santé. Je suis intéressé(e) par les produits pour les consommateurs grand public. Je suis intéressé(e) par les produits luminaires (lighting -Signify). J’aimerai travailler chez Philips. Interesse commerciale per un prodotto o soluzione medicale Richiesta materiale informativo per un prodotto o soluzione medicale Assistenza tecnica per un prodotto o soluzione medicale Informazioni su un prodotto per i consumatori Opportunità lavorative in Philips Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ik heb een vraag over sponsoring Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ich interessiere mich für Lösungen für medizinisches Fachpersonal Ich suche (technischen) Support für meine Healthcare-Lösungen Ich suche Support für Konsumentenprodukte von Philips Ich interessiere mich für Beleuchtung 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Four Applications of AI in Healthcare
Four Applications AI Healthcare Philips Healthcare Home Products Services Back Products Services Products Products Services Products Advanced Molecular Imaging Breathing Respiratory care Computed Tomography Machines Solutions Diagnostic ECG Diagnostic informatics Emergency Care Resuscitation Enterprise telehealth Hospital Respiratory Care Image Guided Therapy Devices Image Guided Therapy Systems Mother Child Care MRI Systems Solutions Oncology Pathology Patient Monitoring Radiation Oncology Radiography Xray Fluoroscopy Solutions Refurbished Systems Sleep Respiratory Care Ultrasound Value Products Ventilation Show Services Products Services Services Planning services Implementation services Optimization services Maintenance services Upgrading services Enabling technologies Healthcare consulting 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 foundationgeneric.search terms No bounds Health knows bounds Applications AI Healthcare improve efficiency Lets talk Health professionals: talk biggest challenges Health professionals: talk breaking boundaries Fill form 97865935008 a.m. 6 p.m. EST Lets talk Executive Insights series Podcast 98 How AI bring productivity medical imaging Philips executive Homer Pien Listen podcast The potential AI improve healthcare delivery limitless wide range applications potential radiology department, improved diagnosis, enhanced workflows will, inevitably, lead change radiologists role. Join host Dennis Costa discusses future AI healthcare Homer Pien, Chief Technology Officer Imaging Philips. Four applications AI healthcare Healthcare complex today. Stretched increasing costs1, global deficit health workers2 operational inefficiencies, need address demand highquality efficient care urgent. For healthcare IT leaders, goal operational efficiency looms large alongside pressure huge volumes data collect enterprise wide. A health data insight deficit While AI decades, healthcare organizations beginning AI journeys. AI gaining traction healthcare ability help generate insights large amounts data offering muchneeded helping hand overburdened staff. The granularity stored digital medical healthcare data CIO oversees increased exponentially, fraction improve efficiency quality care. This huge growth volume diversity concern health IT leaders speed data accumulation far outpacing ability analyze it. What healthcare providers incredible data, insights, says Roy Smythe MD, Chief Medical Officer Health Informatics, Philips Healthcare. And clinicians want insights tell need know. For example, 2000 diabetics patient population, 10 need bring different intervention? Those insights need. AI applications healthcare The potential AI improve healthcare delivery limitless. It offers unique opportunity sense clinical data enable fully integrated healthcare predictive precise. Getting aspects AIenabled solutions right requires extensive collaboration clinicians, data scientists, interaction designers, experts. Here applications artificial intelligence transform healthcare delivery: 1. Improve operational efficiency performance On departmental enterprise level, ability AI sift large amounts data help hospital administrators optimize performance, drive productivity, improve use existing resources, generating time cost savings. For example, radiology department, AI difference management referrals, patient scheduling, exam preparations. Improvements help enhance patient experience allow effective efficient use facilities examination sites. 2. Aiding clinical decision support AIenabled solutions help combine large amounts clinical data generate holistic view patients. This supports healthcare providers decision making, leading better patient outcomes improved population health. The need insights insights lead clinical operations support tremendous, says Dr. Smythe. Whether accuracy interventions effective use manpower things physicians struggle with. That imperative. 3. Enabling population health management Combining clinical decision support systems patient selfmanagement, population health management benefit AI. Using predictive analytics patient populations, healthcare providers able preventative action, reduce health risk, save unnecessary costs. As population ages, desire age place possible, maximize disease management, quality life so. The possibility aggregating, analyzing activating health data millions consumers enable hospitals socioeconomic, behavioral, genetic clinical factors correlate offer targeted, preventative healthcare outside walls hospital. 4. Empowering consumers, improving patient care As recently 2015 patients reported physically carrying xrays, test results, critical health data healthcare providers office another3. The burden multiple referrals, explaining symptoms new physicians finding medical history gaps real. Patients demanding personalized, sophisticated convenient healthcare services. The great motivation AI healthcare increasingly, patients engaged healthcare better understand needs, healthcare steps meet are, providing health services need them, ill. Share colleague 1 US Centers Medicare Medicaid Services 2 WHO, Global health workforce shortage reach 12.9 million coming decades 3 HBR, Giving Patients Active Role Their Health Care Download copy Using AI meet operational, clinical goals You interested in: Whitepaper: interoperability healthcare enterprise wide level Executive insights: Five tips preventing healthcare data breaches Watch video Watch: Benefits clinical informatics artificial intelligence Meeting challenges health informatics Visit Philips health informatics hub Building partnerships. Breaking barriers. We work partnership health systems help drive innovation, support financial operational goals, enable transformation valuedriven era. The result operational excellence connected, predictive personalized care delivery. See support enterprise Phoenix Childrens Hospital partnership Childrens Hospital Medical Center partnership Banner Health partnership AU Health partnership Marin General Hospital partnership WMC Health partnership Bon Secours partnership MUSC Health partnership Mackenzie Health partnership Lets talk What biggest challenges informatics? Whether interoperability enterprise achieving greater standardization care, partner deeply understand infrastructure operations, deliver solutions help transform health system. Reach form started. How help you? Please select , Philips Je suis intresse par les solutionsproduits sant pour les professionnels sant. Je recherche une assistance technique pour les solutionsproduits sant. Je suis intresse par les produits pour les consommateurs grand public. Je suis intresse par les produits luminaires lighting Signify. Jaimerai travailler chez Philips. 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medizinisches Fachpersonal Ich suche technischen Support fr meine HealthcareLsungen Ich suche Support fr Konsumentenprodukte von Philips Ich interessiere mich fr Beleuchtung Signify Ich mchte bei Philips arbeiten Estou procurando solues para profissionais sade Estou procurando suporte tcnico para minha soluo assistncia mdica Estou procurando produtos Philips para consumidores Estou procurando produtos iluminao Philips Quero trabalhar na Philips Tenho uma pergunta sobre patrocnio Me interesa encontrar soluciones para profesionales la salud Busco asistencia tcnica para mi solucin cuidados salud Busco productos consumo Philips Busco soluciones Iluminacin Philips Signify Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me interesa encontrar soluciones para profesionales la salud Busco asistencia tcnica para mi solucin cuidados salud Busco productos consumo Philips Busco soluciones Iluminacin Philips Signify Deseo trabajar en Philips Tengo una pregunta sobre patrocinios Me 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https://galusaustralis.com/2020/09/949580/global-artificial-intelligence-systems-in-healthcare-market-current-trends-2020-ibm-brighterion-sap-microspft-salesforce/
2020-09-03T00:00:00
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Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020 | IBM, Brighterion, SAP, Microspft, Salesforce – Galus Australis
Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020 | IBM, Brighterion, SAP, Microspft, Salesforce – Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle Sci-Tech Thursday, September 3 2020 Trending Global Medical Assistive Devices Market Current Trends 2020 | Duxbury Systems, Ottobock, Pride Mobility, Invacare, Convaid Global Healthcare-Acquired Infection Market Current Trends 2020 | Pfizer, Sanofi, Novartis, Hologic, Roche, BD, Abbott Global Desktop Security Scanner Market 2020 Industry Analysis by Size, Share, Growth, Key players, Trends, Recent Development and Forecast Till 2025 Global Long-Term Care Technologies Market Current Trends 2020 | Medtronic, Omron Healthcare, Philips, Honeywell, Biotronik Global Zigbee Enabled Devices Market Research Report 2026 Observational Studies with Top Manufacturers like Texas Instruments Incorporated, STMicroelectronics, Silicon Laboratories, GreenPeak, Digi and Other Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020 | IBM, Brighterion, SAP, Microspft, Salesforce Global Cognitive Computing in Healthcare Market Current Trends 2020 | IBM, Baidu, Welltok, Microspft, Saffron Technology, Apple Global Construction Sealants Market Current Trends 2020 | 3M, H.B. Fuller, Arkema, DowDuPont, Sika, Yokohama Rubber Global Cancer Biotherapy Market Current Trends 2020 | Amgen, GlaxoSmithKline, Bristol-Myers Squibb, Celgene, Eli Lilly Global Clinical Next-Generation Sequencing Market Current Trends 2020 | Thermo Fisher Scientific, Beckman Coulter, PerkinElmer Contact Us Home/Healthcare/Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020 | IBM, Brighterion, SAP, Microspft, Salesforce Healthcare Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020 | IBM, Brighterion, SAP, Microspft, Salesforce david September 3, 2020 Global Artificial Intelligence Systems in Healthcare Market 2020 by Company, Type and Application, Forecast to 2025 is specialized and in-depth industry research dealing with all technical and profitable business outlook. The report offers market share analysis in terms of volumes during the forecast period from 2020 to 2025. The report scrutinizes the market by an exhaustive analysis of global Artificial Intelligence Systems in Healthcare market size, market dynamics, current trends, challenges, issues, competition analysis, and companies involved.  The report monitors the key trends and market drivers in the current scenario and offers on-the-ground insights. It further covers product classification, growth rate, product price, and product up gradation and innovations. Key players are concentrating on extending their footprints across key regions. Players profiled: IBM, Brighterion, SAP, Microspft, Salesforce, Apple, Yseop, Google, Intel, Megvii Technology, Ipsoft, Welltok The study focuses on the leading players of the global Artificial Intelligence Systems in Healthcare market combined with various depending aspects related to the market as well as their profiles are analyzed emphatically by landscape contrast. All the historical and current trends of the market are discussed comprehensively in the report. Next, the report studies the factors responsible for hindering and enhancing growth in the industry. Then the report aims to provide how the market will grow during the forecast period. The report provides granular, robust qualitative data on how the market is changing and quantitative market outlooks. DOWNLOAD FREE SAMPLE REPORT: https://www.researchstore.biz/sample-request/36760 NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry. The report offers examination and growth of the market in these districts covering North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa). Market segment by type covers: n-Premise, Cloud-Based, etc. Market segment by applications can be divided into: ospitals, Ambulatory Surgery Centers, Clinics, Others, etc. The Basic Market Drivers, Challenges, And Strategies Adopted: The report covers detailed information regarding the major factors affecting the growth of the Artificial Intelligence Systems in Healthcare market such as drivers, threats, entry barriers, obstacles, challenges, and opportunities. There is also an estimate of how much this line of business will be worth at the end of the forecast period. At the same time, there will be a focus on what drives the popularity of these types of products or services. The competitive approach offers a robust judgment to the reader that can aid to form own business policies and strategies. ACCESS FULL REPORT: https://www.researchstore.biz/report/global-artificial-intelligence-systems-in-healthcare-market-36760 Some Important Highlights From The Report Include: The report provides a description of the global Artificial Intelligence Systems in Healthcare market along with the ongoing growth and future considerations to reveal the upcoming investment areas. The market report covers data which reveal major drivers, constraints, and openings The all-inclusive market feasibility is examined to figure out the profit-making trends to obtain the most powerful foothold in the industry. PORTER’S Five Forces Analysis shows the effectiveness of the customers and providers from a global perspective. The global Artificial Intelligence Systems in Healthcare market report effectively provides required features of the global market for the population and for the business looking people for mergers & acquisitions, making investments, new vendors. Additionally, economic scenarios with the item value, benefit, supply, limit, generation, request, market development rate, and figure have been given in the report. Customization of the Report:This report can be customized to meet the client’s requirements. Please connect with our sales team ([email protected]), who will ensure that you get a report that suits your needs. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements. About Us Researchstore.biz is a fully dedicated global market research agency providing thorough quantitative and qualitative analysis of extensive market research.Our corporate is identified by recognition and enthusiasm for what it offers, which unites its staff across the world.We are desired market researchers proving a reliable source of extensive market analysis on which readers can rely on. Our research team consist of some of the best market researchers, sector and analysis executives in the nation, because of which Researchstore.biz is considered as one of the most vigorous market research enterprises. Researchstore.biz finds perfect solutions according to the requirements of research with considerations of content and methods. Unique and out of the box technologies, techniques and solutions are implemented all through the research reports. Contact UsMark StoneHead of Business DevelopmentPhone: +1-201-465-4211Email: [email protected]Web: www.researchstore.biz Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print david Related Articles July 1, 2020 4 Global Digital Storytelling Courses Market 2020 Supply Chain Analysis, Demand and Import/Export Details 2025 July 6, 2020 3 Global Salami Market 2020 Analysis, Types, Applications, Forecast and COVID-19 Impact Analysis 2026 March 4, 2020 18 Global Intimate Wear Market 2020 – Top Industry Players as Triumph, Fruit of the Loom, Marks & spencer May 26, 2020 3 Global Anhydrous Butter Oil Market 2020 Research with COVID-19 After Effects | Dairy Crest Group, Groupe Lactalis, Fonterra Co-operative Group Facebook Twitter WhatsApp Telegram Close Search for: Close Log In Forget? Remember me Log In
Global Artificial Intelligence Systems in Healthcare Market Current Trends 2020
Global Artificial Intelligence Systems Healthcare Market Current Trends 2020 IBM, Brighterion, SAP, Microspft, Salesforce Galus Australis Galus Australis Business General News Healthcare Industry International Lifestyle SciTech Thursday, September 3 2020 Trending Global Medical Assistive Devices Market Current Trends 2020 Duxbury Systems, Ottobock, Pride Mobility, Invacare, Convaid Global HealthcareAcquired Infection Market Current Trends 2020 Pfizer, Sanofi, Novartis, Hologic, Roche, BD, Abbott Global Desktop Security Scanner Market 2020 Industry Analysis Size, Share, Growth, Key players, Trends, Recent Development Forecast Till 2025 Global LongTerm Care Technologies Market Current Trends 2020 Medtronic, Omron Healthcare, Philips, Honeywell, Biotronik Global Zigbee Enabled Devices Market Research Report 2026 Observational Studies Top Manufacturers like Texas Instruments orporated, STMicroelectronics, Silicon Laboratories, GreenPeak, Digi Other Global Artificial Intelligence Systems Healthcare Market Current Trends 2020 IBM, Brighterion, SAP, Microspft, Salesforce Global Cognitive Computing Healthcare Market Current Trends 2020 IBM, Baidu, Welltok, Microspft, Saffron Technology, Apple Global Construction Sealants Market Current Trends 2020 3M, H.B. Fuller, Arkema, DowDuPont, Sika, Yokohama Rubber Global Cancer Biotherapy Market Current Trends 2020 Amgen, GlaxoSmithKline, BristolMyers Squibb, Celgene, Eli Lilly Global Clinical NextGeneration Sequencing Market Current Trends 2020 Thermo Fisher Scientific, Beckman Coulter, PerkinElmer Us HomeHealthcareGlobal Artificial Intelligence Systems Healthcare Market Current Trends 2020 IBM, Brighterion, SAP, Microspft, Salesforce Healthcare Global Artificial Intelligence Systems Healthcare Market Current Trends 2020 IBM, Brighterion, SAP, Microspft, Salesforce david September 3, 2020 Global Artificial Intelligence Systems Healthcare Market 2020 Company, Type Application, Forecast 2025 specialized indepth industry research dealing technical profitable business outlook. The report offers market share analysis terms volumes forecast period 2020 2025. The report scrutinizes market exhaustive analysis global Artificial Intelligence Systems Healthcare market size, market dynamics, current trends, challenges, issues, competition analysis, companies involved. The report monitors key trends market drivers current scenario offers ontheground insights. It covers product classification, growth rate, product price, product gradation innovations. Key players concentrating extending footprints key regions. Players profiled: IBM, Brighterion, SAP, Microspft, Salesforce, Apple, Yseop, Google, Intel, Megvii Technology, Ipsoft, Welltok The study focuses leading players global Artificial Intelligence Systems Healthcare market combined depending aspects related market profiles analyzed emphatically landscape contrast. All historical current trends market discussed comprehensively report. Next, report studies factors responsible hindering enhancing growth industry. Then report aims provide market grow forecast period. The report provides granular, robust qualitative data market changing quantitative market outlooks. DOWNLOAD FREE SAMPLE REPORT: NOTE: Our analysts monitoring situation globe explains market generate remunerative prospects producers post COVID19 crisis. The report aims provide additional illustration latest scenario, economic slowdown, COVID19 impact overall industry. The report offers examination growth market districts covering North America United States, Canada Mexico, Europe Germany, France, UK, Russia Italy, AsiaPacific China, Japan, Korea, India, Southeast Asia Australia, South America Brazil, Argentina, Colombia, Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa. Market segment type covers: nPremise, CloudBased, etc. Market segment applications divided into: ospitals, Ambulatory Surgery Centers, Clinics, Others, etc. The Basic Market Drivers, Challenges, And Strategies Adopted: The report covers detailed information major factors affecting growth Artificial Intelligence Systems Healthcare market drivers, threats, entry barriers, obstacles, challenges, opportunities. There estimate line business worth end forecast period. At time, focus drives popularity types products services. The competitive approach offers robust judgment reader aid form business policies strategies. ACCESS FULL REPORT: Some Important Highlights From The Report lude: The report provides description global Artificial Intelligence Systems Healthcare market ongoing growth future considerations reveal upcoming investment areas. The market report covers data reveal major drivers, constraints, openings The allinclusive market feasibility examined figure profitmaking trends obtain powerful foothold industry. PORTERS Five Forces Analysis shows effectiveness customers providers global perspective. The global Artificial Intelligence Systems Healthcare market report effectively provides required features global market population business looking people mergers acquisitions, making investments, new vendors. Additionally, economic scenarios item value, benefit, supply, limit, generation, request, market development rate, figure given report. Customization Report:This report customized meet clients requirements. Please connect sales team [emailprotected], ensure report suits needs. You touch executives 12014654211 share research requirements. 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UsMark StoneHead Business DevelopmentPhone: 12014654211Email: [emailprotected]Web: Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print david Related Articles July 1, 2020 4 Global Digital Storytelling Courses Market 2020 Supply Chain Analysis, Demand ImportExport Details 2025 July 6, 2020 3 Global Salami Market 2020 Analysis, Types, Applications, Forecast COVID19 Impact Analysis 2026 March 4, 2020 18 Global Intimate Wear Market 2020 Top Industry Players Triumph, Fruit Loom, Marks spencer May 26, 2020 3 Global Anhydrous Butter Oil Market 2020 Research COVID19 After Effects Dairy Crest Group, Groupe Lactalis, Fonterra Cooperative Group Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In
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https://dagorettinews.com/artificial-intelligence-for-edge-devices-market-size-status-top-players-trends-forecast-to-2025/
2020-01-27T00:00:00
en
Artificial Intelligence for Edge Devices Market Size | Status | Top Players | Trends | Forecast to 2025 – Dagoretti News
Artificial Intelligence for Edge Devices Market Size | Status | Top Players | Trends | Forecast to 2025 – Dagoretti News Dagoretti News Science News and Reporting Home Contributors Privacy Policy Terms and Conditions About Contact Artificial Intelligence for Edge Devices Market Size | Status | Top Players | Trends | Forecast to 2025 January 27, 2020 [email protected]  Business, Technology 0 “Artificial Intelligence for Edge Devices Market” study provides details about the market dynamics affecting the market, Market scope, Market segmentation and overlays shadow upon the leading market players highlighting the favorable competitive landscape and trends prevailing over the years. The report on the global Artificial Intelligence for Edge Devices Market is a compilation of intelligent, broad research studies that will help players and stakeholders to make informed business decisions in future. It offers specific and reliable recommendations for players to better tackle challenges in the global Artificial Intelligence for Edge Devices market. Furthermore, it comes out as a powerful resource providing up to date and verified information and data on various aspects of the global Artificial Intelligence for Edge Devices market. Readers will be able to gain deeper understanding of the competitive landscape and its future scenarios, crucial dynamics, and leading segments of the global Artificial Intelligence for Edge Devices market. Buyers of the report will have access to Artificial Intelligence for Edge Devices PESTLE, SWOT, and other types of analysis on the global Artificial Intelligence for Edge Devices market. According to this study, over the next five years the Artificial Intelligence for Edge Devices market will register a 27.9% CAGR in terms of revenue, the global market size will reach $ 6240.3 million by 2025, from $ 2331.6 million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence for Edge Devices business, shared in Chapter 3. Request a sample copy at https://www.marketresearchnest.com/sample-request/865224-Global-Artificial-Intelligence-for-Edge-Devices-Market-Growth-(Status-and-Outlook)-2020-2025 This study considers the Artificial Intelligence for Edge Devices value and volume generated from the sales of the following segments: Segmentation by product type: breakdown data from 2013 to 2020, in Section 2.3; and forecast to 2025 in section 11.7. Hardware Software Segmentation by application: breakdown data from 2015 to 2020, in Section 2.4; and forecast to 2025 in section 10.8. Automotive Consumer and Enterprise Robotics Drones Head-Mounted Displays Smart Speakers Mobile Phones PCs/Tablets Security Cameras This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8. Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Spain, Middle East and Africa, Egypt, South Africa, Israel, Turkey, GCC Countries. The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3. Microsoft Synopsys Qualcomm Google Alibaba Intel Horizon Robotics NVIDIA Baidu Arm Cambricon NXP Mythic MediaTek In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development. Access PDF Version of this Report at: https://www.marketresearchnest.com/reportdetail/865224/Global-Artificial-Intelligence-for-Edge-Devices-Market-Growth-(Status-and-Outlook)-2020-2025 Thanks for reading this article. You can contact us at [email protected] to explore the Artificial Intelligence for Edge Devices Market in detail. Artificial Intelligence for Edge Devices industryArtificial Intelligence for Edge Devices industry analysisArtificial Intelligence for Edge Devices MarketArtificial Intelligence for Edge Devices Market AnalysisArtificial Intelligence for Edge Devices Market GrowthArtificial Intelligence for Edge Devices Market opportunitiesArtificial Intelligence for Edge Devices Market reviewArtificial Intelligence for Edge Devices Market shareArtificial Intelligence for Edge Devices Market strategic assessment PreviousCombi Boiler Market by Scope, Growth Prospective, Application & Forecast NextDiagnostic Electrocardiograph (ECG) Market 2020: Current Trend, Demand, Scope, Business Strategies, Technology Development, Future Investment and Forecast 2025 Search for: Latest News Coriander Oil Market Analysis And Demand With Forecast Overview To 2026 January 27, 2020 Exterior Paint Market : Research Methodology & Rapid Growth Till 2025 January 27, 2020 Latest Update 2020: PC Server Power Management Software Market 2020 by following top Manufacturers Autonomic Software, EnviProt, Cisco, Enterprise Infrastructure Partners LLC, AVOB, etc. January 27, 2020 Exterior Architectural Coatings Market : Growing Popularity and Emerging Trends in the Market January 27, 2020 Foreign Exchange Risk Advisory Market To Drive Aamazing Growth in Globally to 2027 with Topmost Key Vendors – Mecklai Financial, Silicon Valley Bank, Deloitte, HiFM, McKinsey & Company, The Boston Consulting Group, Bain & Company,  Booz Allen Hamilton, EY January 27, 2020 North America Tissue Regeneration Market – Industry Trends and Forecast to 2026 | Top Key Players are Isto Biologics, Athersys, Inc., Cerapedics.Inc, Cook, CryoLife, Cytori Therapeutics Inc, KCI Licensing, Inc., Mesoblast Ltd January 27, 2020 Explosion-proof Motor Casting Market : Industry Expected To Experience A Positive Growth Before 2025 January 27, 2020 Road Simulation Systems Market Analysis Growth Challenges | Opportunities and Future Developments to 2025 January 27, 2020 Explosion-proof Electric Motors and Actuators Market : Analyzing Growth by focusing on Top Key Operating Vendors January 27, 2020 Copper Foil Market Trends, Key Players, Overview, Competitive Breakdown and Regional Forecast by 2026 January 27, 2020 Sodium Isopropyl Xanthate SIPX CAS 140-93-2 Market Overview with Qualitative analysis, Competitive landscape & Forecast 2025 key players: Sellwell (Group) Flotation Reagents Factory, S.N Industries, Florrea (Shenyang FLORREA Chemicals Co., Ltd), etc January 27, 2020 Global Scenario: Social Media Management Software Market 2020 by Key Vendors: Buffer, Sprout Social, Hootsuite Media, AgoraPulse, IFTTT, etc. January 27, 2020 United Arab Emirates Healthcare, Regulatory and Reimbursement Landscape Report- Opportunities and Challenges 2020 January 27, 2020 Intelligent Animal Identification Systems Market Expected to Witness a Sustainable Growth by 2030 January 27, 2020 Cooling Fabrics Market 2020 Trends, Market Share, Industry Size, Opportunities, Analysis and Forecast To 2026 January 27, 2020 Categories  Business  Chemicals-Materials  Energy  Finance  Healthcare  Machinery-equipment  Manufacturing-Construction  Semiconductor-electronics  Services Applied Sciences Beverage Biology Chemical Environment Food Geology Medicine and health Other Paleontology Psychology Space and astronomy Technology Wordpress theme by Shore News Now and Coding Elite.
Artificial Intelligence for Edge Devices Market Size
Artificial Intelligence Edge Devices Market Size Status Top Players Trends Forecast 2025 Dagoretti News Dagoretti News Science News Reporting Home Contributors About Artificial Intelligence Edge Devices Market Size Status Top Players Trends Forecast 2025 January 27, 2020 [emailprotected] Business, Technology 0 Artificial Intelligence Edge Devices Market study provides details market dynamics affecting market, Market scope, Market segmentation overlays shadow leading market players highlighting favorable competitive landscape trends prevailing years. The report global Artificial Intelligence Edge Devices Market compilation intelligent, broad research studies help players stakeholders informed business decisions future. It offers specific reliable recommendations players better tackle challenges global Artificial Intelligence Edge Devices market. Furthermore, comes powerful resource providing date verified information data aspects global Artificial Intelligence Edge Devices market. Readers able gain deeper understanding competitive landscape future scenarios, crucial dynamics, leading segments global Artificial Intelligence Edge Devices market. Buyers report access Artificial Intelligence Edge Devices PESTLE, SWOT, types analysis global Artificial Intelligence Edge Devices market. According study, years Artificial Intelligence Edge Devices market register 27.9 CAGR terms revenue, global market size reach 6240.3 million 2025, 2331.6 million 2019. In particular, report presents global revenue market share key companies Artificial Intelligence Edge Devices business, shared Chapter 3. Request sample copy This study considers Artificial Intelligence Edge Devices value volume generated sales following segments: Segmentation product type: breakdown data 2013 2020, Section 2.3; forecast 2025 section 11.7. Hardware Software Segmentation application: breakdown data 2015 2020, Section 2.4; forecast 2025 section 10.8. Automotive Consumer Enterprise Robotics Drones HeadMounted Displays Smart Speakers Mobile Phones PCsTablets Security Cameras This report splits market region: Breakdown data Chapter 4, 5, 6, 7 8. Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Spain, Middle East Africa, Egypt, South Africa, Israel, Turkey, GCC Countries. The report presents market competition landscape corresponding detailed analysis major vendormanufacturers market. The key manufacturers covered report: Breakdown data Chapter 3. Microsoft Synopsys Qualcomm Google Alibaba Intel Horizon Robotics NVIDIA Baidu Arm Cambricon NXP Mythic MediaTek In addition, report discusses key drivers influencing market growth, opportunities, challenges risks faced key players market whole. It analyzes key emerging trends impact present future development. Access PDF Version Report at: Thanks reading article. You contact [emailprotected] explore Artificial Intelligence Edge Devices Market detail. Artificial Intelligence Edge Devices industryArtificial Intelligence Edge Devices industry analysisArtificial Intelligence Edge Devices MarketArtificial Intelligence Edge Devices Market AnalysisArtificial Intelligence Edge Devices Market GrowthArtificial Intelligence Edge Devices Market opportunitiesArtificial Intelligence Edge Devices Market reviewArtificial Intelligence Edge Devices Market shareArtificial Intelligence Edge Devices Market strategic assessment PreviousCombi Boiler Market Scope, Growth Prospective, Application Forecast NextDiagnostic Electrocardiograph ECG Market 2020: Current Trend, Demand, Scope, Business Strategies, Technology Development, Future Investment Forecast 2025 for: Latest News Coriander Oil Market Analysis And Demand With Forecast Overview To 2026 January 27, 2020 Exterior Paint Market : Research Methodology Rapid Growth Till 2025 January 27, 2020 Latest Update 2020: PC Server Power Management Software Market 2020 following Manufacturers Autonomic Software, EnviProt, Cisco, Enterprise Infrastructure Partners LLC, AVOB, etc. January 27, 2020 Exterior Architectural Coatings Market : Growing Popularity Emerging Trends Market January 27, 2020 Foreign Exchange Risk Advisory Market To Drive Aamazing Growth Globally 2027 Topmost Key Vendors Mecklai Financial, Silicon Valley Bank, Deloitte, HiFM, McKinsey Company, The Boston Consulting Group, Bain Company, Booz Allen Hamilton, EY January 27, 2020 North America Tissue Regeneration Market Industry Trends Forecast 2026 Top Key Players Isto Biologics, Athersys, ., Cerapedics., Cook, CryoLife, Cytori Therapeutics , KCI Licensing, ., Mesoblast Ltd January 27, 2020 Explosionproof Motor Casting Market : Industry Expected To Experience A Positive Growth Before 2025 January 27, 2020 Road Simulation Systems Market Analysis Growth Challenges Opportunities Future Developments 2025 January 27, 2020 Explosionproof Electric Motors Actuators Market : Analyzing Growth focusing Top Key Operating Vendors January 27, 2020 Copper Foil Market Trends, Key Players, Overview, Competitive Breakdown Regional Forecast 2026 January 27, 2020 Sodium Isopropyl Xanthate SIPX CAS 140932 Market Overview Qualitative analysis, Competitive landscape Forecast 2025 key players: Sellwell Group Flotation Reagents Factory, S.N Industries, Florrea Shenyang FLORREA Chemicals Co., Ltd, January 27, 2020 Global Scenario: Social Media Management Software Market 2020 Key Vendors: Buffer, Sprout Social, Hootsuite Media, AgoraPulse, IFTTT, etc. January 27, 2020 United Arab Emirates Healthcare, Regulatory Reimbursement Landscape Report Opportunities Challenges 2020 January 27, 2020 Intelligent Animal Identification Systems Market Expected Witness Sustainable Growth 2030 January 27, 2020 Cooling Fabrics Market 2020 Trends, Market Share, Industry Size, Opportunities, Analysis Forecast To 2026 January 27, 2020 Categories Business ChemicalsMaterials Energy Finance Healthcare Machineryequipment ManufacturingConstruction Semiconductorelectronics Services Applied Sciences Beverage Biology Chemical Environment Food Geology Medicine health Other Paleontology Psychology Space astronomy Technology Wordpress theme Shore News Now Coding Elite.
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https://www.businesspost.ie/theatre/tabletop-shakespeare-communing-with-the-bard-in-a-contemporary-kitchen-setting-833db7e9
2020-09-27T00:00:00
en
Tabletop Shakespeare: Communing with the Bard in a contemporary kitchen setting | Business Post
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Paranoid visions: the conspiracy theories taking root among us Believe the hype as Schitt’s Creek finally gets the attention it deserves Property Property Commercial Design Fine Arts Lux-living Property insight Residential Top Picks Clancy Quay leads way as new builds start to return On the Market: Detached family homes in Clontarf, Rathfarnham, Wicklow and Clane House of the Week: Secluded family home with views over Ballinskelligs Bay Spacious four-bed redbrick in D9 on market for €780k Kilmacud home offers best of both worlds for €670,000 Sectors Sectors Agriculture Climate & Environment Commercial Reports Communications Construction Economics Education Energy Financial Services Health Hospitality Legal Media Motoring Pharma & Med Tech Retail Sport Telecoms Transport Utilities More Sectors Top Picks FBD feared action over Covid-19 claims weeks before court case was lodged Visits to nursing homes allowed in regions below level 3 restrictions Firms ‘fear rise in street protests’ Spain set to block claims by Irish for unfinished properties New bill to set targets for greenhouse gas reductions in 2021 Subscribe Theatre Tabletop Shakespeare: Communing with the Bard in a contemporary kitchen setting Sara Keating 27th September, 2020 2 A Midsummer Night’s Dream performed by Jerry Killick with the help of some household props as part of Tabletop Shakespeare: At Home Tabletop Shakespeare: At Home Forced Entertainment Available Online until November 15 Subscribe from just €1 for the first month! 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Tabletop Shakespeare: Communing with the Bard in a contemporary kitchen setting
Tabletop Shakespeare: Communing Bard contemporary kitchen setting Business Post Menu Business Companies Coronavirus Intelligence Markets SMEs This Working Life More Business Politics EU Election 2020 Home UK US World More Politics Analysis Opinion Analysts Columnists Insight News Focus Profiles Interviews The Big Picture The Business Posts View The Last Post More Opinion Analysis Tech Mobile AI Data Connected Gadgets Security Tech Insight More Tech Life Arts Books Film Food Music Style Theatre Travel Wellness Wine More Life Arts Property Commercial Design Fine Arts Luxliving Property insight Residential Sectors Agriculture Climate Environment Commercial Reports Communications Construction Economics Education Energy Financial Services Health Hospitality Legal Media Motoring Pharma Med Tech Retail Sport Telecoms Transport Utilities More Sectors Sunday September 27, 2020 Today Sunday September 27, 2020 Trusted Business Journalism Business Business Companies Coronavirus Intelligence Markets SMEs This Working Life More Business Top Picks State contacts British Treasury future Ulster Bank AIBs Hunt hints return portfolio sales Acorn parent harvests 13m dividend Roche family offered cut rent Irish Debenhams stores Employers face battle Covid19 pay cuts, says Ictu Politics Politics EU Election 2020 Home UK US World More Politics Top Picks TD McGrath snubs ridiculous EU antimoney laundering rule Martin urges nations fight Facebooks bullyboy tactics Varadkar ask landlords restrictionshit businesses break Department council shortfalls property tax cuts Donohoe urged cull flat rate expenses relief Analysis Opinion Analysis Opinion Analysts Columnists Insight News Focus Profiles Interviews The Big Picture The Business Posts View The Last Post More Opinion Analysis Top Picks Ministers superhuman need expert advice job Minister Housing listen rare opportunity knocks Fifty years on, Arms Trial raises political hackles A victory Covid ring hollow costs democracy Inflazome success story inspiration Irish business Tech Tech Mobile AI Data Connected Gadgets Security Tech Insight More Tech Top Picks Netflixs Social Dilemma shallow apology tour The onecompany man career roaming Facebook merely sending signal takes courts Desmond puts 143k sons KitchTech firm Gadget Guru: Samsung XCover Pro, Dell XPS 15, Hooke Lav Life Arts Life Arts Books Film Food Music Style Theatre Travel Wellness Wine More Life Arts Top Picks Cormac hEadhra: If going difficult time, I say: talk somebody Maureen Kennelly: Recognition arts society increased Design For Life: Where I bring family Dublin? Paranoid visions: conspiracy theories taking root Believe hype Schitts Creek finally gets attention deserves Property Property Commercial Design Fine Arts Luxliving Property insight Residential Top Picks Clancy Quay leads way new builds start return On Market: Detached family homes Clontarf, Rathfarnham, Wicklow Clane House Week: Secluded family home views Ballinskelligs Bay Spacious fourbed redbrick D9 market 780k Kilmacud home offers best worlds 670,000 Sectors Sectors Agriculture Climate Environment Commercial Reports Communications Construction Economics Education Energy Financial Services Health Hospitality Legal Media Motoring Pharma Med Tech Retail Sport Telecoms Transport Utilities More Sectors Top Picks FBD feared action Covid19 claims weeks court case lodged Visits nursing homes allowed regions level 3 restrictions Firms fear rise street protests Spain set block claims Irish unfinished properties New set targets greenhouse gas reductions 2021 Business Business Companies Coronavirus Intelligence Markets SMEs This Working Life More Business Top Picks State contacts British Treasury future Ulster Bank AIBs Hunt hints return portfolio sales Acorn parent harvests 13m dividend Roche family offered cut rent Irish Debenhams stores Employers face battle Covid19 pay cuts, says Ictu Politics Politics EU Election 2020 Home UK US World More Politics Top Picks TD McGrath snubs ridiculous EU antimoney laundering rule Martin urges nations fight Facebooks bullyboy tactics Varadkar ask landlords restrictionshit businesses break Department council shortfalls property tax cuts Donohoe urged cull flat rate expenses relief Analysis Opinion Analysis Opinion Analysts Columnists Insight News Focus Profiles Interviews The Big Picture The Business Posts View The Last Post More Opinion Analysis Top Picks Ministers superhuman need expert advice job Minister Housing listen rare opportunity knocks Fifty years on, Arms Trial raises political hackles A victory Covid ring hollow costs democracy Inflazome success story inspiration Irish business Tech Tech Mobile AI Data Connected Gadgets Security Tech Insight More Tech Top Picks Netflixs Social Dilemma shallow apology tour The onecompany man career roaming Facebook merely sending signal takes courts Desmond puts 143k sons KitchTech firm Gadget Guru: Samsung XCover Pro, Dell XPS 15, Hooke Lav Life Arts Life Arts Books Film Food Music Style Theatre Travel Wellness Wine More Life Arts Top Picks Cormac hEadhra: If going difficult time, I say: talk somebody Maureen Kennelly: Recognition arts society increased Design For Life: Where I bring family Dublin? Paranoid visions: conspiracy theories taking root Believe hype Schitts Creek finally gets attention deserves Property Property Commercial Design Fine Arts Luxliving Property insight Residential Top Picks Clancy Quay leads way new builds start return On Market: Detached family homes Clontarf, Rathfarnham, Wicklow Clane House Week: Secluded family home views Ballinskelligs Bay Spacious fourbed redbrick D9 market 780k Kilmacud home offers best worlds 670,000 Sectors Sectors Agriculture Climate Environment Commercial Reports Communications Construction Economics Education Energy Financial Services Health Hospitality Legal Media Motoring Pharma Med Tech Retail Sport Telecoms Transport Utilities More Sectors Top Picks FBD feared action Covid19 claims weeks court case lodged Visits nursing homes allowed regions level 3 restrictions Firms fear rise street protests Spain set block claims Irish unfinished properties New set targets greenhouse gas reductions 2021 Theatre Tabletop Shakespeare: Communing Bard contemporary kitchen setting Sara Keating 27th September, 2020 2 A Midsummer Nights Dream performed Jerry Killick help household props Tabletop Shakespeare: At Home Tabletop Shakespeare: At Home Forced Entertainment Available Online November 15 1 month Exclusive offers: All Digital Access eReader Trial 1 Unlimited Access 1 Month Then 19.99 month offer period. 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Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region – Global Forecast To 2026 – Crypto Daily
Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region – Global Forecast To 2026 – Crypto Daily Skip to content Menu Energy News Space Top stories Contact Search for: Search Crypto Daily Menu Energy News Space Top stories Contact Search for: Search Flash News Coffee Pod Machine Market Projected to Experience Major Revenue Boost During the Period Between 2020-2026 Market Intelligence Report Mussel , 2019-2025 Heated Humidifiers Market Size Analysis, Competitive Landscape, Revenue Status, Future Opportunities and Demand by Top 10 Global Players Swelling Demand for Coronary Artery Imaging to Fuel the Growth of the Coronary Artery Imaging Market Through the Forecast Period 2017 – 2025 Skin Tightening Market Growth Opportunities, Industry Analysis, Size, Share, Geographic Segmentation & Competitive Landscape Report to 2018 to 2028 Snooker Tables Market to Witness Widespread Expansion During 2020-2025 Cylinder Vacuum Cleaners Market is Seeing Explosive Growth By Future Industry Winners: Forecast, 2014-2023 Soundproof Material Market to Witness Steady Growth through 2025 Pancreatic Beta-Cell Protection Market: Comprehensive Analysis of the Development Factors in the Industry Driving Apparel Market-Segment Market Trends, Analysis and Forecast 2020 – 2023 Tuesday, October 06, 2020 News Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region – Global Forecast To 2026 alex October 6, 2020 Global Machine Learning Courses Market Report comprises of all the fundamental data with respect to the market. The complete report will help to understand the market’s current flow and patterns, industry development drivers, Machine Learning Courses market share, informative diagrams, supply and demand, and many different aspects. The report was adept in utilizing a target combination of essential and secondary information including a commitment from leading players in the market.  Request for a free sample report here: https://www.reportspedia.com/report/business-services/global-machine-learning-courses-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/69391#request_sample Leading manufacturers of Machine Learning Courses Market: Udemy EdX Metis Simplilearn Udacity Edvancer NobleProg Ivy Professional School Jigsaw Academy DataCamp BitBootCamp The report offers an exhaustive assessment of different region-wise and country-wise Machine Learning Courses markets such as the U.S., Canada, Germany, France, U.K., Italy, Japan, South Korea, India, Australia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc. Key regions covered in the report are North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. Following are the segments covered by the report are: Machine Learning Courses Market Segment by Application: Business Retail BFSI Manufacturing Machine Learning Courses Market Segment by Type: Academic Non-academic Ask For Discount: https://www.reportspedia.com/discount_inquiry/discount/69391 The latest report about the Machine Learning Courses market provides a detailed evaluation of the business vertical in question, alongside a brief overview of the industry segments. A remarkably effective view of the current industry scenario has been delivering in the study, and the Machine Learning Courses market size with regards to the revenue and volume have also been mention. In general, the research report is a set of key data with regards to the competitive landscape of this vertical and the numerous regions where the business has successfully established its position.  Global Machine Learning Courses market scrutinizes the influence of the market scope variables that are touching market enlargement and development. Furthermore, it offers knowledge of the significant makers and market background after a thorough estimation. This market study moreover analysis of the all-inclusive Machine Learning Courses market, wholesalers, drivers, openings, future examples, market share, improvement rate, contention scene, and status. Key Questions Answered In The Machine Learning Courses Report Include: What will the growth rate and Machine Learning Courses market size be in 2026? What are the key factors driving the global Machine Learning Courses market? What are the key market trends impacting the growth of the global Machine Learning Courses market? Who are the key vendors in the global Machine Learning Courses market? What are the market opportunities and threats faced by the vendors in the global Machine Learning Courses market? Rising factors affecting the market shares of the EMEA, Americas, and APAC. What are the key outcomes of the five forces analysis of the global Machine Learning Courses market? What the Report has in Store for you? – Industry Size & Forecast: The industry analyst has existing historical, current, and predictable projections of the industry size from the value and volume point of view – Future Opportunities: In this section of the report, Machine Learning Courses participants are provided with the information on the future prospects that the Machine Learning Courses industry is likely to offer – Industry Trends & Developments: Here, the authors of the report have talked about the major trends and developments taking place in the Machine Learning Courses marketplace and their estimated impact on the overall growth – Study on Industry Segmentation: Detailed breakdown of the key Machine Learning Courses industry segments including product type, application, and vertical has been done in this portion of the report – Regional Analysis: Machine Learning Courses vendors are offered crucial information about the soaring enlargement regions and their respective country, thus help them to invest in beneficial regions – Competitive Landscape: This Machine Learning Courses  report throws light on the competitive scenario of the Machine Learning Courses industry by focusing on the key strategies taken up by the vendors to consolidate their presence in the Machine Learning Courses business. Inquiry Before Buying: https://www.reportspedia.com/report/business-services/global-machine-learning-courses-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/69391#inquiry_before_buying Table of Content Key Insights Executive Summary Machine Learning Courses Competitive Intelligence Analysis Machine Learning Courses Market Overview Machine Learning Courses Background and Overview Key Endpoints of Machine Learning Courses Market Machine Learning Courses Marketed Products Machine Learning Courses Emerging Trends Machine Learning Courses Seven Major Market Analysis Machine Learning Courses Market Outlook Machine Learning Courses Access and Overview Views on the Machine Learning Courses Machine Learning Courses Market Drivers Appendix Get Full Table Of Content: https://www.reportspedia.com/report/business-services/global-machine-learning-courses-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/69391#table_of_contents Global Machine Learning Courses IndustryGlobal Machine Learning Courses MarketGlobal Machine Learning Courses Market AnalysisGlobal Machine Learning Courses Market DemandGlobal Machine Learning Courses Market ForecastGlobal Machine Learning Courses Market GrowthGlobal Machine Learning Courses Market OverviewGlobal Machine Learning Courses Market RegionsGlobal Machine Learning Courses Market ReserachGlobal Machine Learning Courses Market RevenueGlobal Machine Learning Courses Market ShareGlobal Machine Learning Courses Market SizeGlobal Machine Learning Courses Market TrendGlobal Machine Learning Courses Market View Post navigation Global Filler Masterbatch Market Professional Survey 2020 by Manufacturers, Regions, Types and Applications, Forecast to 2026Global Semi-Hermetic Refrigeration Compressor Market Share, Size, Future Demand, Global Research, Top Leading Player, Emerging Trends and Forecast to 2020 to 2026 Search for: Recent Posts Coffee Pod Machine Market Projected to Experience Major Revenue Boost During the Period Between 2020-2026 Market Intelligence Report Mussel , 2019-2025 Heated Humidifiers Market Size Analysis, Competitive Landscape, Revenue Status, Future Opportunities and Demand by Top 10 Global Players Swelling Demand for Coronary Artery Imaging to Fuel the Growth of the Coronary Artery Imaging Market Through the Forecast Period 2017 – 2025 Skin Tightening Market Growth Opportunities, Industry Analysis, Size, Share, Geographic Segmentation & Competitive Landscape Report to 2018 to 2028 Archives October 2020 September 2020 August 2020 Categories Energy News Space Top stories Meta Log in Entries feed Comments feed WordPress.org Proudly powered by WordPress | Theme: TimesNews | By ThemeSpiral.com. 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Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region
Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region Global Forecast To 2026 Crypto Daily Skip content Menu Energy News Space Top stories for: Crypto Daily Menu Energy News Space Top stories for: Flash News Coffee Pod Machine Market Projected Experience Major Revenue Boost During Period Between 20202026 Market Intelligence Report Mussel , 20192025 Heated Humidifiers Market Size Analysis, Competitive Landscape, Revenue Status, Future Opportunities Demand Top 10 Global Players Swelling Demand Coronary Artery Imaging Fuel Growth Coronary Artery Imaging Market Through Forecast Period 2017 2025 Skin Tightening Market Growth Opportunities, Industry Analysis, Size, Share, Geographic Segmentation Competitive Landscape Report 2018 2028 Snooker Tables Market Witness Widespread Expansion During 20202025 Cylinder Vacuum Cleaners Market Seeing Explosive Growth By Future Industry Winners: Forecast, 20142023 Soundproof Material Market Witness Steady Growth 2025 Pancreatic BetaCell Protection Market: Comprehensive Analysis Development Factors Industry Driving Apparel MarketSegment Market Trends, Analysis Forecast 2020 2023 Tuesday, October 06, 2020 News Global Machine Learning Courses Market Size, Share, Trends, Growth, Forecast Analysis Report 2020 By Product, By Application, By Segment, By Region Global Forecast To 2026 alex October 6, 2020 Global Machine Learning Courses Market Report comprises fundamental data respect market. The complete report help understand markets current flow patterns, industry development drivers, Machine Learning Courses market share, informative diagrams, supply demand, different aspects. The report adept utilizing target combination essential secondary information including commitment leading players market. Request free sample report here: Leading manufacturers Machine Learning Courses Market: Udemy EdX Metis Simplilearn Udacity Edvancer NobleProg Ivy Professional School Jigsaw Academy DataCamp BitBootCamp The report offers exhaustive assessment different regionwise countrywise Machine Learning Courses markets U.S., Canada, Germany, France, U.K., Italy, Japan, South Korea, India, Australia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc. Key regions covered report North America, Europe, AsiaPacific, Latin America, Middle East Africa. Following segments covered report are: Machine Learning Courses Market Segment Application: Business Retail BFSI Manufacturing Machine Learning Courses Market Segment Type: Academic Nonacademic Ask For Discount: The latest report Machine Learning Courses market provides detailed evaluation business vertical question, alongside brief overview industry segments. A remarkably effective view current industry scenario delivering study, Machine Learning Courses market size regards revenue volume mention. In general, research report set key data regards competitive landscape vertical numerous regions business successfully established position. Global Machine Learning Courses market scrutinizes influence market scope variables touching market enlargement development. Furthermore, offers knowledge significant makers market background thorough estimation. This market study analysis allinclusive Machine Learning Courses market, wholesalers, drivers, openings, future examples, market share, improvement rate, contention scene, status. Key Questions Answered In The Machine Learning Courses Report lude: What growth rate Machine Learning Courses market size 2026? What key factors driving global Machine Learning Courses market? What key market trends impacting growth global Machine Learning Courses market? Who key vendors global Machine Learning Courses market? What market opportunities threats faced vendors global Machine Learning Courses market? Rising factors affecting market shares EMEA, Americas, APAC. What key outcomes forces analysis global Machine Learning Courses market? What Report Store you? Industry Size Forecast:The industry analyst existing historical, current, predictable projections industry size value volume point view Future Opportunities:In section report, Machine Learning Courses participants provided information future prospects Machine Learning Courses industry likely offer Industry Trends Developments: Here, authors report talked major trends developments taking place Machine Learning Courses marketplace estimated impact overall growth Study Industry Segmentation:Detailed breakdown key Machine Learning Courses industry segments including product type, application, vertical portion report Regional Analysis:Machine Learning Courses vendors offered crucial information soaring enlargement regions respective country, help invest beneficial regions Competitive Landscape:This Machine Learning Courses report throws light competitive scenario Machine Learning Courses industry focusing key strategies taken vendors consolidate presence Machine Learning Courses business. Inquiry Before Buying: Table Content Key Insights Executive Summary Machine Learning Courses Competitive Intelligence Analysis Machine Learning Courses Market Overview Machine Learning Courses Background Overview Key Endpoints Machine Learning Courses Market Machine Learning Courses Marketed Products Machine Learning Courses Emerging Trends Machine Learning Courses Seven Major Market Analysis Machine Learning Courses Market Outlook Machine Learning Courses Access Overview Views Machine Learning Courses Machine Learning Courses Market Drivers Appendix Get Full Table Of Content: Global Machine Learning Courses IndustryGlobal Machine Learning Courses MarketGlobal Machine Learning Courses Market AnalysisGlobal Machine Learning Courses Market DemandGlobal Machine Learning Courses Market ForecastGlobal Machine Learning Courses Market GrowthGlobal Machine Learning Courses Market OverviewGlobal Machine Learning Courses Market RegionsGlobal Machine Learning Courses Market ReserachGlobal Machine Learning Courses Market RevenueGlobal Machine Learning Courses Market ShareGlobal Machine Learning Courses Market SizeGlobal Machine Learning Courses Market TrendGlobal Machine Learning Courses Market View Post navigation Global Filler Masterbatch Market Professional Survey 2020 Manufacturers, Regions, Types Applications, Forecast 2026Global SemiHermetic Refrigeration Compressor Market Share, Size, Future Demand, Global Research, Top Leading Player, Emerging Trends Forecast 2020 2026 for: Recent Posts Coffee Pod Machine Market Projected Experience Major Revenue Boost During Period Between 20202026 Market Intelligence Report Mussel , 20192025 Heated Humidifiers Market Size Analysis, Competitive Landscape, Revenue Status, Future Opportunities Demand Top 10 Global Players Swelling Demand Coronary Artery Imaging Fuel Growth Coronary Artery Imaging Market Through Forecast Period 2017 2025 Skin Tightening Market Growth Opportunities, Industry Analysis, Size, Share, Geographic Segmentation Competitive Landscape Report 2018 2028 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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"country", "help", "invest", "beneficial", "regions", "competitive", "landscape", "machine", "learning", "courses", "report", "throws", "light", "competitive", "scenario", "machine", "learning", "courses", "industry", "focusing", "key", "strategies", "taken", "vendors", "consolidate", "presence", "machine", "learning", "courses", "business", "inquiry", "buying", "table", "content", "key", "insights", "executive", "summary", "machine", "learning", "courses", "competitive", "intelligence", "analysis", "machine", "learning", "courses", "market", "overview", "machine", "learning", "courses", "background", "overview", "key", "endpoints", "machine", "learning", "courses", "market", "machine", "learning", "courses", "marketed", "products", "machine", "learning", "courses", "emerging", "trends", "machine", "learning", "courses", "seven", "major", "market", "analysis", "machine", "learning", "courses", "market", "outlook", "machine", "learning", "courses", "access", "overview", "views", 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"energy", "news", "space", "stories", "meta", "log", "entries", "feed", "comments", "feed", "proudly", "powered", "wordpress", "theme", "timesnews" ]
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https://satprnews.com/2020/05/05/artificial-intelligence-gaining-momentum-in-space/
2020-05-05T00:00:00
en
Artificial Intelligence gaining momentum in Space – satPRnews
Artificial Intelligence gaining momentum in Space – satPRnews Skip to content satPRnews PR News & Articles News Space Health MoreBack Artificial Intelligence gaining momentum in Space Posted byMarcin Frąckiewicz May 5, 2020 The next significant invention that is around the corner regarding geospatial intelligence involves tiny black boxes that are installed within the satellite. It is capable of collecting a massive amount of data and analyzes them instantly. As a result, no downloading is required for the same. Manipulation of geospatial data and its subsequent analysis is the primary objective of military intelligence sector. Such quick data interpretations will surely help the military industry and the concerned officers to take firm and immediate actions. This was viewed by Mr. Melanie Stricklan, chief technology officer and also the co-founder of Slingshot Aerospace which is located in Manhattan Beach, California. Stricklan served the US Force for 21 years. Her duties involved flying at the back of JSTARS radar surveillance plane. According to her recent interview, the sensors of the airplane were extracting loads of data, but it was hard to analyze such data. There were times when such data had to be sent back to the analyst and then wait for weeks to find out find indeed they were trying to find out. In the latter part of her career, Stricklan worked at the Air Force Space as well as the Missile Systems Centre about various satellite programs. At that point of time, it became apparent to her and her other colleagues that their career would shine if they can improve themselves in data collection through satellites and airplanes and be successful in analyzing them to the full extent. Slingshot Aerospace is making it’s all efforts to develop a cloud-based arena that helps to extract data from any sensors and uses machine understanding algorithms to “extract information.” Their goal, in a nutshell, would be to provide Artificial Intelligence in a small chip and send it on a spacecraft. This particular technology is still in the making and is in a very nascent stage. The company is working to bring in more data inside the cloud-based platform to enhance the algorithms. A mixed blend of trends in changing the entire data processing procedures for the space exploration. Data is now coming within reach of the scientists very easily and quickly. In fact, if we go back, we will see that AI has been there for the past three years. It is only now that the concept is getting highlighted and the space industry is trying to operationalize it. Posted byMarcin FrąckiewiczMay 5, 2020Posted inSpace NewsTags: JSTARS Post navigation Previous Post Previous post: OneWeb and their satellite launching mission Search for: Recent Posts Artificial Intelligence gaining momentum in Space OneWeb and their satellite launching mission Bangabandhu satellite launching program postponed NASA’S Mission of knowing Mars better Detecting Alien Civilizations in Space NASA Will Launch Two CubeSats to Mars on Saturday Australia to set up its first Space Agency NASA will launch twin satellites to study changing water cycles on Earth Boeing considers SpaceX rocket to be too small for NASA One of NASA’s next studies is ‘Marsquakes’ satPRnews, Proudly powered by WordPress.
Artificial Intelligence gaining momentum in Space
Artificial Intelligence gaining momentum Space satPRnews Skip content satPRnews PR News Articles News Space Health MoreBack Artificial Intelligence gaining momentum Space Posted byMarcin Frckiewicz May 5, 2020 The significant invention corner geospatial intelligence involves tiny black boxes installed satellite. It capable collecting massive data analyzes instantly. As result, downloading required same. Manipulation geospatial data subsequent analysis primary objective military intelligence sector. Such quick data interpretations surely help military industry concerned officers firm immediate actions. This viewed Mr. Melanie Stricklan, chief technology officer cofounder Slingshot Aerospace located Manhattan Beach, California. Stricklan served US Force 21 years. Her duties involved flying JSTARS radar surveillance plane. According recent interview, sensors airplane extracting loads data, hard analyze data. There times data sent analyst wait weeks trying out. In career, Stricklan worked Air Force Space Missile Systems Centre satellite programs. At point time, apparent colleagues career shine improve data collection satellites airplanes successful analyzing extent. Slingshot Aerospace making efforts develop cloudbased arena helps extract data sensors uses machine understanding algorithms extract information. Their goal, nutshell, provide Artificial Intelligence small chip send spacecraft. This particular technology making nascent stage. The company working bring data inside cloudbased platform enhance algorithms. A mixed blend trends changing entire data processing procedures space exploration. Data coming reach scientists easily quickly. In fact, back, AI past years. It concept getting highlighted space industry trying operationalize it. Posted byMarcin FrckiewiczMay 5, 2020Posted inSpace NewsTags: JSTARS Post navigation Previous Post Previous post: OneWeb satellite launching mission for: Recent Posts Artificial Intelligence gaining momentum Space OneWeb satellite launching mission Bangabandhu satellite launching program postponed NASAS Mission knowing Mars better Detecting Alien Civilizations Space NASA Will Launch Two CubeSats Mars Saturday Australia set Space Agency NASA launch twin satellites study changing water cycles Earth Boeing considers SpaceX rocket small NASA One NASAs studies Marsquakes satPRnews, Proudly powered WordPress.
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https://jewishlifenews.com/uncategorized/artificial-intelligence-ai-in-fintech-market-barclays-partner-finance-description-activities-recent-developments-autodeskibmmicrosoftoraclesapfanuchanson-robotics/
2020-04-07T00:00:00
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Artificial Intelligence (AI) in Fintech Market | Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics – Jewish Market Reports
Artificial Intelligence (AI) in Fintech Market | Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics – Jewish Market Reports Skip to content Tuesday, April 7, 2020 Contact Jewish Market Reports Jewish Market Research News Market Sales Industry Analysis Market Size Market Report Market Outlook Industry Growth Contact You are hereHomeNewsArtificial Intelligence (AI) in Fintech Market | Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics News  Artificial Intelligence (AI) in Fintech Market | Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics April 7, 2020 [email protected] Autodesk, Fanuc, Hanson Robotics, IBM, Microsoft, Oracle, SAP Artificial Intelligence (AI) in Fintech Market 2020      The Global Artificial Intelligence (AI) in Fintech Market 2020 Research Report is a professional and in-depth study on the current state of the Artificial Intelligence (AI) in Fintech Market Industry. Global Artificial Intelligence (AI) in Fintech Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2027. Market Over viewing the present digitized world, 80% of the data generated is unstructured. Organizations are using Artificial Intelligence (AI) in Fintech technology to unravel the meaning of such data to leverage business strategies and opportunities. A myriad of unstructured data is available online in the form of audio content, visual content and social footprints. Request Sample Copy of Artificial Intelligence (AI) in Fintech Market Report 2020 Some of the key players operating in this market include:   Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics. The report provides a basic overview of the industry including definitions and classifications. The Artificial Intelligence (AI) in Fintech Market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status. Our new sample is updated which correspond in new report showing impact of COVID-19 on Industry Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins. The manufacturers responsible for increasing the sales in the market have been presented. These manufacturers have been examined in terms of their manufacturing base, basic information, and competitors. In addition, the technology and product type introduced by each of these manufacturers also form a key part of this section of the report. The recent developments that took place in the global Artificial Intelligence (AI) in Fintech market and their impact on the future growth of the market have also been presented through this study. This unique market intelligence report from the author provides information not available from any other published source. The report includes diagnostics sales and market share estimates by product as well as a profile of the company’s diagnostics business. Analysis tools such as SWOT analysis and Porter’s five force model have been inculcated in order to present a perfect in-depth knowledge about Artificial Intelligence (AI) in Fintech market. Ample graphs, tables, charts are added to help have an accurate understanding of this market. The Artificial Intelligence (AI) in Fintech market is also been analyzed in terms of value chain analysis and regulatory analysis. Get Discount up to 10% In this Report The report can answer the following questions:                                            What is the global (North America, South America, Europe, Africa, Middle East, Asia, China, Japan) production, production value, consumption, consumption value, import and export of Artificial Intelligence (AI) in Fintech? Who are the global key manufacturers of Artificial Intelligence (AI) in Fintech industry? How are their operating situation (capacity, production, price, cost, gross and revenue)? What are the types and applications of Artificial Intelligence (AI) in Fintech? What is the market share of each type and application? What are the upstream raw materials and manufacturing equipment of Artificial Intelligence (AI) in Fintech? What is the manufacturing process of Artificial Intelligence (AI) in Fintech? Economic impact on Artificial Intelligence (AI) in Fintech industry and development trend of Artificial Intelligence (AI) in Fintech industry. What will the Artificial Intelligence (AI) in Fintech market size and the growth rate be in 2026? What are the key factors driving the global Artificial Intelligence (AI) in Fintech industry? What are the key market trends impacting the growth of the Artificial Intelligence (AI) in Fintech market? What are the Artificial Intelligence (AI) in Fintech market challenges to market growth? What are the Artificial Intelligence (AI) in Fintech market opportunities and threats faced by the vendors in the global Artificial Intelligence (AI) in Fintech market? Objective of Studies: To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the global Artificial Intelligence (AI) in Fintech market. To provide insights about factors affecting the market growth. To analyze the Artificial Intelligence (AI) in Fintech market based on various factors- price analysis, supply chain analysis, Porte five force analysis etc. To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, Latin America and Rest of the World. To provide country level analysis of the market with respect to the current market size and future prospective. To provide country level analysis of the market for segment by application, product type and sub-segments. To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market. To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the global Artificial Intelligence (AI) in Fintech market. Reasons to Buy this Report: Gain detailed insights on the Artificial Intelligence (AI) in Fintech industry trends Find complete analysis on the market status Identify the Artificial Intelligence (AI) in Fintech market opportunities and growth segments Analyze competitive dynamics by evaluating business segments & product portfolios Facilitate strategy planning and industry dynamics to enhance decision making Table of Content: Artificial Intelligence (AI) in Fintech Market Research Report 2020-2027 Chapter 1: Industry Overview Chapter 2: Artificial Intelligence (AI) in Fintech Market International Market Analysis Chapter 3: Environment Analysis of Artificial Intelligence (AI) in Fintech Chapter 4: Analysis of Revenue by Classifications Chapter 5: Analysis of Revenue by Regions and Applications Chapter 6: Analysis of Artificial Intelligence (AI) in Fintech Market Revenue Market Status Chapter 7: Analysis of Artificial Intelligence (AI) in Fintech Industry Key Manufacturers Chapter 8: Sales Price and Gross Margin Analysis Chapter 9: Marketing Trader or Distributor Analysis of Artificial Intelligence (AI) in Fintech Chapter 10: Development Trend of Artificial Intelligence (AI) in Fintech Market 2020-2027 Chapter 11: Industry Suppliers of Artificial Intelligence (AI) in Fintech with Contact Information About Us Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world. Contact Us: Sanjay Jain Manager – Partner Relations & International Marketing www.reportsandmarkets.com [email protected] Ph: +1-352-353-0818 (US)   Post navigation Fluorosurfactants Market worldwide growing by size, share, demand, regional analysis by 2025eCOA, eSource & Clinical Trials Market Size, Status and Growth Opportunities by 2019 to 2029 Related posts Silica Flour Market 2019-2025: Industry Analysis By Top Players, Types, Key Regions And Applications April 7, 2020 [email protected]Silica, Silica Flour Market Definitions and Overview, Silica Flour Market Dynamics, Silica Flour Market Indicators, Silica Flour Market Segmentation and Scope, Silica Flour Market Trends Analysis The ‘ Silica Flour market’ study Added by Market Study Report provides an in-depth analysis pertaining... Pneumatic Nailer Market Overall Study Report Analysis 2019-2029 April 7, 2020 [email protected]China Pneumatic Nailer Market Trend, Europe Pneumatic Nailer Market Growth, Pneumatic Nailer, Pneumatic Nailer Industry, Pneumatic Nailer Market, Pneumatic Nailer Market Intelligence, UK Pneumat QY Research has added a new report titled, “Global Pneumatic Nailer Market 2019 Share, Size, Forecast... Timber Trailer Market to Experience Significant Growth During the Forecast Period 2019-2029 April 7, 2020 [email protected]China Timber Trailer Market Trend, Europe Timber Trailer Market Growth, Timber Trailer, Timber Trailer Industry, Timber Trailer Market, Timber Trailer Market Intelligence, UK Timber Trailer Mar Growth forecast on ” Timber Trailer Market size – Industry Segment by Applications  by Type, Regional... Recent Posts Silica Flour Market 2019-2025: Industry Analysis By Top Players, Types, Key Regions And Applications Timber Trailer Market to Experience Significant Growth During the Forecast Period 2019-2029 Pneumatic Nailer Market Overall Study Report Analysis 2019-2029 Automotive Combination Switch Market 2020: Remarking Enormous Growth with Recent Trends | Delphi,HELLA,Valeo,Bosch,Toyodenso,Wells Vehicle Electronics,JPM Group,Leopold Kosta Management Decision Market Growth, Overview with Detailed Analysis 2020-2026|   IBM, FICO, SAS, ORACLE, PEGASYSTEMS, TIBCO SOFTWARE, SAPIENS INTERNATIONAL CORPORATION Commercial Vehicle Exhaust Emission System Market 2020: Remarking Enormous Growth with Recent Trends | Gits Manufacturing,Wells,Delphi,Klubert + Schmidt,Continental,Corning,KSPG,Mahle,Bekaert,Meet,BARI,Faurecia Polypropylene Staple Fiber (PPSF) Market Registering a Strong Growth by 2032 Nonwoven Fabrics Market Comprehensive Research Report and Forecast to 2027 Biofuels Sustainability Auditing Services Market 2020–2027 Development & Growth Analysis Including Key Players are: Intertek, Bureau Veritas, TÜV SÜD, SustainAvia, Hoist Technologies, FOI Laboratories Marketing Resource Management Market 2020, Outlook by Trending Companies Included in Professional Survey- Teradata, SAP, SAS Institute, Infor, Brandmaker, IBM, Microsoft, Adobe Systems, North Plains Systems, and Workfront © All Right Reserved Proudly powered by WordPress | Theme: SuperNews by Acme Themes
Artificial Intelligence (AI) in Fintech Market
Artificial Intelligence AI Fintech Market Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics Jewish Market Reports Skip content Tuesday, April 7, 2020 Jewish Market Reports Jewish Market Research News Market Sales Industry Analysis Market Size Market Report Market Outlook Industry Growth You hereHomeNewsArtificial Intelligence AI Fintech Market Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics News Artificial Intelligence AI Fintech Market Barclays Partner Finance, Description, Activities, Recent Developments, Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics April 7, 2020 [emailprotected] Autodesk, Fanuc, Hanson Robotics, IBM, Microsoft, Oracle, SAP Artificial Intelligence AI Fintech Market 2020 The Global Artificial Intelligence AI Fintech Market 2020 Research Report professional indepth study current state Artificial Intelligence AI Fintech Market Industry. Global Artificial Intelligence AI Fintech Market Global Drivers, Restraints, Opportunities, Trends, Forecasts 2027. Market Over viewing present digitized world, 80 data generated unstructured. Organizations Artificial Intelligence AI Fintech technology unravel meaning data leverage business strategies opportunities. A myriad unstructured data available online form audio content, visual content social footprints. Request Sample Copy Artificial Intelligence AI Fintech Market Report 2020 Some key players operating market include: Autodesk,IBM,Microsoft,Oracle,SAP,Fanuc,Hanson Robotics. The report provides basic overview industry including definitions classifications. The Artificial Intelligence AI Fintech Market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Our new sample updated correspond new report showing impact COVID19 Industry Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. The manufacturers responsible increasing sales market presented. These manufacturers examined terms manufacturing base, basic information, competitors. In addition, technology product type introduced manufacturers form key section report. The recent developments took place global Artificial Intelligence AI Fintech market impact future growth market presented study. This unique market intelligence report author provides information available published source. The report includes diagnostics sales market share estimates product profile companys diagnostics business. Analysis tools SWOT analysis Porters force model inculcated order present perfect indepth knowledge Artificial Intelligence AI Fintech market. Ample graphs, tables, charts added help accurate understanding market. The Artificial Intelligence AI Fintech market analyzed terms value chain analysis regulatory analysis. Get Discount 10 In Report The report answer following questions: What global North America, South America, Europe, Africa, Middle East, Asia, China, Japan production, production value, consumption, consumption value, import export Artificial Intelligence AI Fintech? Who global key manufacturers Artificial Intelligence AI Fintech industry? How operating situation capacity, production, price, cost, gross revenue? What types applications Artificial Intelligence AI Fintech? What market share type application? What upstream raw materials manufacturing equipment Artificial Intelligence AI Fintech? What manufacturing process Artificial Intelligence AI Fintech? Economic impact Artificial Intelligence AI Fintech industry development trend Artificial Intelligence AI Fintech industry. What Artificial Intelligence AI Fintech market size growth rate 2026? What key factors driving global Artificial Intelligence AI Fintech industry? What key market trends impacting growth Artificial Intelligence AI Fintech market? What Artificial Intelligence AI Fintech market challenges market growth? What Artificial Intelligence AI Fintech market opportunities threats faced vendors global Artificial Intelligence AI Fintech market? Objective Studies: To provide detailed analysis market structure forecast segments subsegments global Artificial Intelligence AI Fintech market. To provide insights factors affecting market growth. To analyze Artificial Intelligence AI Fintech market based factors price analysis, supply chain analysis, Porte force analysis etc. To provide historical forecast revenue market segments subsegments respect main geographies countries North America, Europe, Asia, Latin America Rest World. To provide country level analysis market respect current market size future prospective. To provide country level analysis market segment application, product type subsegments. To provide strategic profiling key players market, comprehensively analyzing core competencies, drawing competitive landscape market. To track analyze competitive developments joint ventures, strategic alliances, mergers acquisitions, new product developments, research developments global Artificial Intelligence AI Fintech market. Reasons Buy Report: Gain detailed insights Artificial Intelligence AI Fintech industry trends Find complete analysis market status Identify Artificial Intelligence AI Fintech market opportunities growth segments Analyze competitive dynamics evaluating business segments product portfolios Facilitate strategy planning industry dynamics enhance decision making Table Content: Artificial Intelligence AI Fintech Market Research Report 20202027 Chapter 1: Industry Overview Chapter 2: Artificial Intelligence AI Fintech Market International Market Analysis Chapter 3: Environment Analysis Artificial Intelligence AI Fintech Chapter 4: Analysis Revenue Classifications Chapter 5: Analysis Revenue Regions Applications Chapter 6: Analysis Artificial Intelligence AI Fintech Market Revenue Market Status Chapter 7: Analysis Artificial Intelligence AI Fintech Industry Key Manufacturers Chapter 8: Sales Price Gross Margin Analysis Chapter 9: Marketing Trader Distributor Analysis Artificial Intelligence AI Fintech Chapter 10: Development Trend Artificial Intelligence AI Fintech Market 20202027 Chapter 11: Industry Suppliers Artificial Intelligence AI Fintech Information Market research new buzzword market, helps understanding market potential product market. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing [emailprotected] Ph: 13523530818 US Post navigation Fluorosurfactants Market worldwide growing size, share, demand, regional analysis 2025eCOA, eSource Clinical Trials Market Size, Status Growth Opportunities 2019 2029 Related posts Silica Flour Market 20192025: Industry Analysis By Top Players, Types, Key Regions And Applications April 7, 2020 [emailprotected]Silica, Silica Flour Market Definitions Overview, Silica Flour Market Dynamics, Silica Flour Market Indicators, Silica Flour Market Segmentation Scope, Silica Flour Market Trends Analysis The Silica Flour market study Added Market Study Report provides indepth analysis pertaining... Pneumatic Nailer Market Overall Study Report Analysis 20192029 April 7, 2020 [emailprotected]China Pneumatic Nailer Market Trend, Europe Pneumatic Nailer Market Growth, Pneumatic Nailer, Pneumatic Nailer Industry, Pneumatic Nailer Market, Pneumatic Nailer Market Intelligence, UK Pneumat QY Research added new report titled, Global Pneumatic Nailer Market 2019 Share, Size, Forecast... Timber Trailer Market Experience Significant Growth During Forecast Period 20192029 April 7, 2020 [emailprotected]China Timber Trailer Market Trend, Europe Timber Trailer Market Growth, Timber Trailer, Timber Trailer Industry, Timber Trailer Market, Timber Trailer Market Intelligence, UK Timber Trailer Mar Growth forecast Timber Trailer Market size Industry Segment Applications Type, Regional... Recent Posts Silica Flour Market 20192025: Industry Analysis By Top Players, Types, Key Regions And Applications Timber Trailer Market Experience Significant Growth During Forecast Period 20192029 Pneumatic Nailer Market Overall Study Report Analysis 20192029 Automotive Combination Switch Market 2020: Remarking Enormous Growth Recent Trends Delphi,HELLA,Valeo,Bosch,Toyodenso,Wells Vehicle Electronics,JPM Group,Leopold Kosta Management DecisionMarket Growth, Overview Detailed Analysis 20202026 IBM, FICO, SAS, ORACLE, PEGASYSTEMS, TIBCO SOFTWARE, SAPIENS INTERNATIONAL CORPORATION Commercial Vehicle Exhaust Emission System Market 2020: Remarking Enormous Growth Recent Trends Gits Manufacturing,Wells,Delphi,Klubert Schmidt,Continental,Corning,KSPG,Mahle,Bekaert,Meet,BARI,Faurecia Polypropylene Staple Fiber PPSF Market ing Strong Growth 2032 Nonwoven Fabrics Market Comprehensive Research Report Forecast 2027 Biofuels Sustainability Auditing Services Market 20202027 Development Growth Analysis luding Key Players are: Intertek, Bureau Veritas, TV SD, SustainAvia, Hoist Technologies, FOI Laboratories Marketing Resource Management Market 2020, Outlook Trending Companies luded Professional SurveyTeradata, SAP, SAS Institute, Infor, Brandmaker, IBM, Microsoft, Adobe Systems, North Plains Systems, Workfront All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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https://www.wfae.org/2020-07-31/researchers-use-artificial-intelligence-to-study-elephant-calls
2020-11-01T00:00:00
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Researchers Use Artificial Intelligence To Study Elephant Calls | WFAE 90.7 - Charlotte's NPR News Source
Researchers Use Artificial Intelligence To Study Elephant Calls | WFAE 90.7 - Charlotte's NPR News Source Search Query Show Search News Nation & World Health Politics Education Energy & Environment Crime & Justice Business Arts & Culture South Carolina News Opinion Sign Up For Our Newsletters Nation & World Health Politics Education Energy & Environment Crime & Justice Business Arts & Culture South Carolina News Opinion Sign Up For Our Newsletters Special Coverage 2020 NC Voters Guide 2020 Elections Finding Home Class of 2020 Coronavirus News Keith Lamont Scott Anniversary 2020 NC Voters Guide 2020 Elections Finding Home Class of 2020 Coronavirus News Keith Lamont Scott Anniversary Charlotte Talks About Charlotte Talks With Mike Collins Shows Contact The Show About Charlotte Talks With Mike Collins Shows Contact The Show Podcasts & Columns Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Programs WFAE Radio Schedules Shows A-Z Programming Alerts WFAE Radio Schedules Shows A-Z Programming Alerts Support Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information End-Of-2020 Raffle Rules Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information End-Of-2020 Raffle Rules About About WFAE WFAE Staff & Board Directory Board of Directors Community Advisory Board Annual Report Public Information Diversity Program Careers and Internships Contact Us About WFAE WFAE Staff & Board Directory Board of Directors Community Advisory Board Annual Report Public Information Diversity Program Careers and Internships Contact Us Events All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest © 2020 WFAE Menu 90.7 Charlotte 93.7 Southern Pines 90.3 Hickory 106.1 Laurinburg Show Search Search Query Donate Play Live Radio Next Up: 0:00 0:00 Available On Air Stations On Air Now Playing WFAE On Air Now Playing The Charlotte Jazz Channel On Air Now Playing Public Radio Remix All Streams News Nation & World Health Politics Education Energy & Environment Crime & Justice Business Arts & Culture South Carolina News Opinion Sign Up For Our Newsletters Nation & World Health Politics Education Energy & Environment Crime & Justice Business Arts & Culture South Carolina News Opinion Sign Up For Our Newsletters Special Coverage 2020 NC Voters Guide 2020 Elections Finding Home Class of 2020 Coronavirus News Keith Lamont Scott Anniversary 2020 NC Voters Guide 2020 Elections Finding Home Class of 2020 Coronavirus News Keith Lamont Scott Anniversary Charlotte Talks About Charlotte Talks With Mike Collins Shows Contact The Show About Charlotte Talks With Mike Collins Shows Contact The Show Podcasts & Columns Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Programs WFAE Radio Schedules Shows A-Z Programming Alerts WFAE Radio Schedules Shows A-Z Programming Alerts Support Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information End-Of-2020 Raffle Rules Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information End-Of-2020 Raffle Rules About About WFAE WFAE Staff & Board Directory Board of Directors Community Advisory Board Annual Report Public Information Diversity Program Careers and Internships Contact Us About WFAE WFAE Staff & Board Directory Board of Directors Community Advisory Board Annual Report Public Information Diversity Program Careers and Internships Contact Us Events All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest Researchers Use Artificial Intelligence To Study Elephant Calls Published July 31, 2020 at 4:10 PM EDT Facebook Twitter LinkedIn Email Listen • 2:02 AILSA CHANG, HOST:Forest elephants, true to the name, spend their lives hidden in the rainforest, which is a problem if you study them.PETER WREGE: We basically have no idea what they're doing, how they're using the landscape - all of those kinds of things.ARI SHAPIRO, HOST:Peter Wrege is a behavioral ecologist at Cornell University, and he says one way to solve the problem is to eavesdrop on the elephants instead.(SOUNDBITE OF ELEPHANT TRUMPETING)CHANG: Wrege leads Cornell's Elephant Listening Project, which uses an array of microphones in the rainforests of Central Africa to record the rumbling and trumpeting of elephants. They pick up other sounds, too, like the chest beats of gorillas. By now he estimates they've gathered a million hours of tape.SHAPIRO: And he says analyzing that much tape is a beast.WREGE: Very, very slow, very tedious.SHAPIRO: Jonathan Gomes Selman agrees. He volunteered on the project as a teenager, hand-picking elephant calls, and he thought there had to be a better way.CHANG: So he and fellow Stanford grad Nikita Demir trained artificial intelligence to do the job instead. Here's Gomes Selman.JONATHAN GOMES SELMAN: We feed these models hundreds of examples of both audio clips with and without elephant calls, and then these deep learning models are, basically, over time able to learn specific features that the people training these models don't fully know ourselves.CHANG: They'll present the model next week at a virtual meeting of the Ecological Society of America.SHAPIRO: Although Wrege hasn't yet tried the new algorithm, he says it seems faster and more accurate than earlier AI attempts, which gives him and other scientists a better chance to decode the mysteries of elephants' rumbles.WREGE: This is their language. If we can start understanding that better, we know more what's going on in the forest, where we can't see anything.CHANG: Because to keep an eye on the forest, you've got to keep an ear on it, too.(SOUNDBITE OF ELEPHANT TRUMPETING) Transcript provided by NPR, Copyright NPR. Facebook Twitter LinkedIn Email Latest Stories Politics Early Voting In NC Has Wrapped Up. Here's How It Went On The Last Day. Good News: You Can Sleep For One More Hour Tonight England To Return To Lockdown In Coming Days Politics Alamance County Voter Rally Ends With Pepper Spray, Arrests Stay Connected twitter instagram flipboard facebook linkedin © 2020 WFAE About WFAE Careers and Internships Contact Us Donor Privacy Statement FCC Public File
Researchers Use Artificial Intelligence To Study Elephant Calls
Researchers Use Artificial Intelligence To Study Elephant Calls WFAE 90.7 Charlottes NPR News Source Query Show News Nation World Health Politics Education Energy Environment Crime Justice Business Arts Culture South Carolina News Opinion Sign Up For Our Newsletters Nation World Health Politics Education Energy Environment Crime Justice Business Arts Culture South Carolina News Opinion Sign Up For Our Newsletters Special Coverage 2020 NC Voters Guide 2020 Elections Finding Home Class 2020 Coronavirus News Keith Lamont Scott Anniversary 2020 NC Voters Guide 2020 Elections Finding Home Class 2020 Coronavirus News Keith Lamont Scott Anniversary Charlotte Talks About Charlotte Talks With Mike Collins Shows The Show About Charlotte Talks With Mike Collins Shows The Show Podcasts Columns Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Programs WFAE Radio Schedules Shows AZ Programming Alerts WFAE Radio Schedules Shows AZ Programming Alerts Support Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information EndOf2020 Raffle Rules Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information EndOf2020 Raffle Rules About About WFAE WFAE Staff Board Directory Board Directors Community Advisory Board Annual Report Public Information Diversity Program Careers Internships Us About WFAE WFAE Staff Board Directory Board Directors Community Advisory Board Annual Report Public Information Diversity Program Careers Internships Us Events All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest 2020 WFAE Menu 90.7 Charlotte 93.7 Southern Pines 90.3 Hickory 106.1 Laurinburg Show Query Donate Play Live Radio Next Up: 0:00 0:00 Available On Air Stations On Air Now Playing WFAE On Air Now Playing The Charlotte Jazz Channel On Air Now Playing Public Radio Remix All Streams News Nation World Health Politics Education Energy Environment Crime Justice Business Arts Culture South Carolina News Opinion Sign Up For Our Newsletters Nation World Health Politics Education Energy Environment Crime Justice Business Arts Culture South Carolina News Opinion Sign Up For Our Newsletters Special Coverage 2020 NC Voters Guide 2020 Elections Finding Home Class 2020 Coronavirus News Keith Lamont Scott Anniversary 2020 NC Voters Guide 2020 Elections Finding Home Class 2020 Coronavirus News Keith Lamont Scott Anniversary Charlotte Talks About Charlotte Talks With Mike Collins Shows The Show About Charlotte Talks With Mike Collins Shows The Show Podcasts Columns Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Amplifier Candidate Me Charlotte Talks FAQ City Inside Politics On My Mind With Tommy Tomlinson She Says Social Distancing SouthBound Tapestry The List WFAEats Work It Programs WFAE Radio Schedules Shows AZ Programming Alerts WFAE Radio Schedules Shows AZ Programming Alerts Support Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information EndOf2020 Raffle Rules Supporting WFAE Business Sponsorship Donate Now Leadership Circle Ways To Give Membership Information EndOf2020 Raffle Rules About About WFAE WFAE Staff Board Directory Board Directors Community Advisory Board Annual Report Public Information Diversity Program Careers Internships Us About WFAE WFAE Staff Board Directory Board Directors Community Advisory Board Annual Report Public Information Diversity Program Careers Internships Us Events All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest All Events Charlotte Podcast Festival First Amendment Award WFAE Annual Gala Queen City PodQuest Researchers Use Artificial Intelligence To Study Elephant Calls PublishedJuly 31, 2020 4:10 PM EDT Facebook Twitter LinkedIn Email Listen 2:02 AILSA CHANG, HOST:Forest elephants, true name, spend lives hidden rainforest, problem study them.PETER WREGE: We basically idea theyre doing, theyre landscape kinds things.ARI SHAPIRO, HOST:Peter Wrege behavioral ecologist Cornell University, says way solve problem eavesdrop elephants instead.SOUNDBITE OF ELEPHANT TRUMPETINGCHANG: Wrege leads Cornells Elephant Listening Project, uses array microphones rainforests Central Africa record rumbling trumpeting elephants. They pick sounds, too, like chest beats gorillas. By estimates theyve gathered million hours tape.SHAPIRO: And says analyzing tape beast.WREGE: Very, slow, tedious.SHAPIRO: Jonathan Gomes Selman agrees. He volunteered project teenager, handpicking elephant calls, thought better way.CHANG: So fellow Stanford grad Nikita Demir trained artificial intelligence job instead. Heres Gomes Selman.JONATHAN GOMES SELMAN: We feed models hundreds examples audio clips elephant calls, deep learning models are, basically, time able learn specific features people training models dont fully know ourselves.CHANG: Theyll present model week virtual meeting Ecological Society America.SHAPIRO: Although Wrege tried new algorithm, says faster accurate earlier AI attempts, gives scientists better chance decode mysteries elephants rumbles.WREGE: This language. If start understanding better, know whats going forest, anything.CHANG: Because eye forest, youve got ear it, too.SOUNDBITE OF ELEPHANT TRUMPETING Transcript provided NPR, NPR. Facebook Twitter LinkedIn Email Latest Stories Politics Early Voting In NC Has Wrapped Up. Heres How It Went On The Last Day. Good News: You Can Sleep For One More Hour Tonight England To Return To Lockdown In Coming Days Politics Alamance County Voter Rally Ends With Pepper Spray, Arrests Stay Connected twitter instagram flipboard facebook linkedin 2020 WFAE About WFAE Careers Internships Us Donor Privacy Statement FCC Public File
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https://www.businesschief.com/technology-and-ai/drinkbox-studios-presents-mutant-blobs-space
2020-08-02T00:00:00
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Drinkbox Studios Presents Mutant Blobs from Space | Technology & AI | Business Chief North America
Drinkbox Studios Presents Mutant Blobs from Space | Technology & AI | Business Chief North America
Drinkbox Studios Presents Mutant Blobs from Space
Drinkbox Studios Presents Mutant Blobs Space Technology AI Business Chief North America
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https://www.businesschief.asia/technology/ping-an-lands-global-recognition-for-ai-innovations
2020-08-03T00:00:00
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Ping An lands global recognition for AI innovations | Technology | Business Chief APAC
Ping An lands global recognition for AI innovations | Technology | Business Chief APAC
Ping An lands global recognition for AI innovations
Ping An lands global recognition AI innovations Technology Business Chief APAC
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https://technoweekly.com/uncategorized/1134729/external-hemostatic-device-market-2020-covid-19-impact-global-industry-analysis-cardinal-health-cardiva-medical-medtronic-abbott-laboratories-c-r-bard/
2020-11-13T00:00:00
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External Hemostatic Device Market 2020 (Covid-19 Impact) Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. Bard – TechnoWeekly
External Hemostatic Device Market 2020 (Covid-19 Impact) Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. Bard – TechnoWeekly Skip to content Menu Android coronavirus Energy News Science Space Technologies Contact Search for: Search TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies Contact Search for: Search Flash News COVID-19 Impact: on Digital Signage Bar-Type Display Market 2020: LITEMAX, Shenzhen Viewa Technology, BenQ, Winmate Grant Management Software Market Demand, Scope, Global Opportunities, Challenges and Key Players by 2028 COVID-19 Impact: on Power Choke Sales Market By Top Leading Players – API Technologies, Vishay, Panasonic, Schurter EHS Market Demand, Top Companies, Revenue and Growth 2028 Future Scope of Digital Out-of-home Billboard Market Research Report – Sony, LG Electronics, Toshiba, Panasonic Future Scope of Potentiometers Sales Market By Top Major Players – Analog Devices, BI Technologies, NTE Electronics, Bourns Warehouse Management System Market All Major Industrial Aspects, Segments And Revenue Insight | HighJump (A Subsidiary of Körber AG), Tecsys Inc., Manhattan Associates, PTC, Codeworks Global Food Additives Market 2020: Industry Insights By Growth, Emerging Trends And Forecast By 2025 Cognitive Collaboration Market Development, Market Trends, Key Driven Factors, Segmentation And Forecast To 2016-2028 Data Warehousing market Application Analysis, Regional Outlook, Growth Trends By Leading Companies – Google, IBM Corporation, Microsoft, Oracle, SAP ERP, Snowflake Friday, November 13, 2020 Uncategorized External Hemostatic Device Market 2020 (Covid-19 Impact) Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. Bard anita November 13, 2020 Methodical research based conclusions drawn in the report presented by Orbis Pharma Reports on External Hemostatic Device market is designed and articulated on the basis of thorough analytical study, extensive research endeavors as well as minute detail compilation, prolonged observation that eventually result in optimal comprehension as well as systematic decoding of the External Hemostatic Device market. A thorough methodical research synopsis on the aforementioned External Hemostatic Device market based on Orbis Pharma Reports expert analysts suggest that this well-orchestrated documentation is an output of high end research initiatives and an amalgamation and flawless evaluation of a series of elements, events, triggers that are obtained by various tools that gradually shape the growth curve in global External Hemostatic Device market. Get PDF Sample Copy of this Report to understand the structure of the complete report: https://www.orbispharmareports.com/sample-request/47741 This dedicated, well-planned report mindfully crafted by Orbis Pharma Reports is based on various market analytical tools such as PESTEL and SWOT analysis that thoroughly instigate strength and confidence in the potential marketing strategies that reciprocate and direct the External Hemostatic Device market towards optimistic growth in global External Hemostatic Device market. Major Company Profiles operating in the External Hemostatic Device Market: Cardinal Health Cardiva Medical Medtronic Abbott Laboratories C.R. Bard COOK Biotronik GMBH Boston Scientific Scion BioMedical By the product type, the market is primarily split into: Hemostatic Forceps Tourniquet Others By the application, this report covers the following segments: Hospital Clinic Medical Center Others A thorough review of drivers, restraints and challenges have been considered in detail to derive logical conclusions concerning future growth scope in the aforementioned market has also been pinned in this section of the report presented by Orbis Pharma Reports pertaining to External Hemostatic Device market. The current status of the External Hemostatic Device market is thoroughly influenced by the current pandemic crisis of COVID-19 outbreak that has hit the market adversely, whereby several prominent economies are undergoing a massive transformation after having witnessed a sharp plummeting impact on growth prognosis in the past few months. Do You Have Any Query Or Specific Requirement? Ask to Our Industry [email protected] https://www.orbispharmareports.com/enquiry-before-buying/47741 This ready-to-refer market presentation elaborating on various touchpoints about the External Hemostatic Device market is accurately designed and distributed by Orbis Pharma Reports highlighting prevalent market states and conditions, all in place to suit the best interests of the readers, such that enabling them to abandon previous notions and orchestrate new business deals, based on existing market status to ensure vigorous growth in External Hemostatic Device market. As the report makes judicious advances based on aforementioned inferences about External Hemostatic Device market presented by Orbis Pharma Reports, backing upon best in industry practices, it carefully unfurls ample light on elements such as current, historic, as well as future growth rendering prospects characteristic to the market growth trends limited to External Hemostatic Device market. The report presented by Orbis Pharma also involves crucial evidence based references on various market circumstances as well as protuberant segments encompassing type and applications that increase high end growth and revenue generation in the global External Hemostatic Device market in the forthcoming years. Access Complete Report @ https://www.orbispharmareports.com/covid-19-impact-on-2020-2026-global-and-regional-external-hemostatic-device-industry-production-sales-and-consumption-status-and-prospects-professional-market-research-report-standard-version/ About Us : At Orbispharma we curate the most relevant news stories, features, analysis and research reports on the important challenges undertaken by the pharmaceutical and related sectors. Our editorial philosophy is to bring you sharp, focused and informed perspective of industries, the end users and application of all upcoming trends into the pharma sector. Orbispharma believes in conversations that can bring a change in one of the most crucial economic sectors in the world. With these conversations we wish our customers to make sound business decisions with right business intelligence. Contact Us : 4144N Central Expressway, Suite 600, Dallas, Texas – 75204, U.S.A. +1 (972)-362-8199 [email protected] Post navigation Penetration Testing Software Market Ongoing Trends and Recent Developments by 2027 – Acunetix, Bugcrowd, Defendify, HackerOne, Intruder Systems, Netsparker, Pentest-Tools, Rapid7, Veracode, Xysec LabsMechanical Jacks Market 2020 Analysis & Forecast: Players ENERPAC, Haacon, Carl Stahl GmbH, Zinko Hydraulic Jack Search for: Recent Posts COVID-19 Impact: on Digital Signage Bar-Type Display Market 2020: LITEMAX, Shenzhen Viewa Technology, BenQ, Winmate Grant Management Software Market Demand, Scope, Global Opportunities, Challenges and Key Players by 2028 COVID-19 Impact: on Power Choke Sales Market By Top Leading Players – API Technologies, Vishay, Panasonic, Schurter EHS Market Demand, Top Companies, Revenue and Growth 2028 Future Scope of Digital Out-of-home Billboard Market Research Report – Sony, LG Electronics, Toshiba, Panasonic Proudly powered by WordPress | Theme: TimesNews | By ThemeSpiral.com. 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External Hemostatic Device Market 2020 (Covid-19 Impact) Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. Bard
External Hemostatic Device Market 2020 Covid19 Impact Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. Bard TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News COVID19 Impact: Digital Signage BarType Display Market 2020: LITEMAX, Shenzhen Viewa Technology, BenQ, Winmate Grant Management Software Market Demand, Scope, Global Opportunities, Challenges Key Players 2028 COVID19 Impact: Power Choke Sales Market By Top Leading Players API Technologies, Vishay, Panasonic, Schurter EHS Market Demand, Top Companies, Revenue Growth 2028 Future Scope Digital Outofhome Billboard Market Research Report Sony, LG Electronics, Toshiba, Panasonic Future Scope Potentiometers Sales Market By Top Major Players Analog Devices, BI Technologies, NTE Electronics, Bourns Warehouse Management System Market All Major Industrial Aspects, Segments And Revenue Insight HighJump A Subsidiary Krber AG, Tecsys ., Manhattan Associates, PTC, Codeworks Global Food Additives Market 2020: Industry Insights By Growth, Emerging Trends And Forecast By 2025 Cognitive Collaboration Market Development, Market Trends, Key Driven Factors, Segmentation And Forecast To 20162028 Data Warehousing market Application Analysis, Regional Outlook, Growth Trends By Leading Companies Google, IBM Corporation, Microsoft, Oracle, SAP ERP, Snowflake Friday, November 13, 2020 Uncategorized External Hemostatic Device Market 2020 Covid19 Impact Global Industry Analysis: Cardinal Health, Cardiva Medical, Medtronic, Abbott Laboratories, C.R. 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https://feedroad.com/artificial-intelligence-in-the-education-sector-market-industry-analysis-2015-2026-business-development-market-size-and-detailed-profiles-of-top-players/
2020-03-20T00:00:00
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Artificial Intelligence in the Education Sector Market Industry Analysis 2015-2026: Business Development, Market Size and Detailed Profiles of Top Players – Feed Road
Artificial Intelligence in the Education Sector Market Industry Analysis 2015-2026: Business Development, Market Size and Detailed Profiles of Top Players – Feed Road Toggle navigation Home About Our Authors Contact Privacy Cookies 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 Search for: Artificial Intelligence in the Education Sector Market Industry Analysis 2015-2026: Business Development, Market Size and Detailed Profiles of Top Players March 20, 2020 Off By Orian Research Artificial Intelligence in the Education Sector Market report is designed by detailed investigation procedure to collect all the necessary data. This report contains the brief profile of leading players in the industry along with their future plans and current developments. Further, report considers the revenue generated from the market analysis and opportunity analysis to estimate the market size. The report initiates with the basic market outlook and structure along with forecast of the various segments and sub-segments. You Can Get a Sample Copy of this Report at – https://www.orianresearch.com/request-sample/1035418 What You Can Expect From Our Report: Total Addressable Market [Present Market Size forecasted to 2026 with CAGR ] Regional level split [North America, Europe, Asia Pacific, South America, Middle East & Africa] Country wise Market Size Split [Important countries with major market share] Market Size Breakdown by Product/ ServiceTypes – [ ] Market Size by Application/Industry verticals/ End Users – [ ] Market Share and Revenue/Sales of 10-15 Leading Players in the Market Production Capacity of Leading Players whenever applicable Market Trends – Emerging Technologies/products/start-ups, PESTEL Analysis, SWOT Analysis, Porter’s Five Forces, etc. Pricing Trend Analysis – Average pricing across regions Brandwise Ranking of Major Market Players globally Purchase Directly @ https://www.orianresearch.com/checkout/1035418 Artificial Intelligence in the Education Sector Market research report involves emphasis on historic along with forecast revenue of the market segments and anticipated growth rates. The chief elements driving and impacting growth market data and analytics are derived from a combination of primary and secondary sources. The key players covered in this study, Cognii, IBM Corporation, Quantum Adaptive Learning, ALKES Corporation, Dreambox Learning, Blackboard, Microsoft Corporation, Pearson Corporation, Jenzabar, SOFIA Labs. No of Pages: 97 The scope of the Global Artificial Intelligence in the Education Sector Report: Market representation – main players, analysis, size, a situation of the business, SWOT analysis 2020 to 2026. Regional scope – North America (U.S.; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain etc), South America (Brazil; Argentina etc), Middle East & Africa (Saudi Arabia; South Africa etc) Methodology – A mixture of primary and secondary research Report coverage – statistics, opportunities, challenges, drivers, restraints, limits, market size, share, and trends. Forecast period – 2020 – 2026 Market segment by Type, the product can be split into Learner Model Pedagogical Model Domain Model Market segment by Application, split into Higher Education Primary and Secondary Education Others Important Aspects of Artificial Intelligence in the Education Sector Report: Top factors like revenue, supply-demand ratio, market status and market value is reflected. All the top Global Artificial Intelligence in the Education Sector market players are analysed with their competitive structure, development plans and regional presence. The market analysis from 2013-2020 and forecast analysis from 2020-2026 is conducted with the base year as 2020. Top regions and countries which have huge growth potential are studied in this report. The SWOT analysis of regions and players will lead to an analysis of growth factors and market risks. The segmented market view based on product type, application and region will provide a simpler market overview. The market outlook, Artificial Intelligence in the Education Sector gross margin study, price and type analysis is explained. The distributors, traders, dealers and manufacturers of Artificial Intelligence in the Education Sector are profiled on a global scale. The forecast analysis by type, application and region is conducted to present the sales margin, market share, revenue and growth rate. The information on mergers & acquisitions in Artificial Intelligence in the Education Sector, product launches, new industry plans and policies as well as the development status is analysed in the report. Why To Select This Report: Complete analysis on market dynamics, market status and competitive Artificial Intelligence in the Education Sector view is offered. Forecast Global Artificial Intelligence in the Education Sector Industry trends will present the market drivers, constraints and growth opportunities. The five-year forecast view shows how the market is expected to grow in coming years. All vital Global Artificial Intelligence in the Education Sector Industry verticals are presented in this study like Product Type, Applications and Geographical Regions. Table of Contents 1 Study Coverage 2 Executive Summary 3 Breakdown Data by Manufacturers 4 Breakdown Data by Type 4.1 Global Artificial Intelligence in the Education Sector Sales by Type 4.2 Global Artificial Intelligence in the Education Sector Revenue by Type 4.3 Artificial Intelligence in the Education Sector Price by Type 5 Breakdown Data by Application 5.1 Overview 5.2 Global Artificial Intelligence in the Education Sector Breakdown Data by Application 6 North America 7 Europe 8 Asia Pacific 9 Central & South America 10 Middle East and Africa 11 Company Profiles 12 Future Forecast 13 Market Opportunities, Challenges, Risks and Influences Factors Analysis 14 Value Chain and Sales Channels Analysis 15 Research Findings and Conclusion 16 Appendix Customization Service of the Report:- Orian Research provides customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities About Us: Orian Research is one of the most comprehensive collections of market intelligence reports on the World Wide Web. Our reports repository boasts of over 500000+ industry and country research reports from over 100 top publishers. We continuously update our repository so as to provide our clients easy access to the world’s most complete and current database of expert insights on global industries, companies, and products. We also specialize in custom research in situations where our syndicate research offerings do not meet the specific requirements of our esteemed clients. 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Artificial Intelligence in the Education Sector Market Industry Analysis 2015-2026: Business Development, Market Size and Detailed Profiles of Top Players
Artificial Intelligence Education Sector Market Industry Analysis 20152026: Business Development, Market Size Detailed Profiles Top Players Feed Road Toggle navigation Home About Our Authors Privacy Editorial Policy Feed Road Market Research Reports Market Reports Industry Analytics Industry Report Market Outlook Market Research Analysis Forecast Consumption Status Future Demands Opportunities Forecast for: Artificial Intelligence Education Sector Market Industry Analysis 20152026: Business Development, Market Size Detailed Profiles Top Players March 20, 2020 Off By Orian Research Artificial Intelligence Education Sector Market report designed detailed investigation procedure collect necessary data. This report contains brief profile leading players industry future plans current developments. Further, report considers revenue generated market analysis opportunity analysis estimate market size. The report initiates basic market outlook structure forecast segments subsegments. You Can Get Sample Copy Report What You Can Expect From Our Report: Total Addressable Market [Present Market Size forecasted 2026 CAGR ] Regional level split [North America, Europe, Asia Pacific, South America, Middle East Africa] Country wise Market Size Split [Important countries major market share] Market Size Breakdown Product ServiceTypes [ ] Market Size ApplicationIndustry verticals End Users [ ] Market Share RevenueSales 1015 Leading Players Market Production Capacity Leading Players applicable Market Trends Emerging Technologiesproductsstartups, PESTEL Analysis, SWOT Analysis, Porters Five Forces, etc. Pricing Trend Analysis Average pricing regions Brandwise Ranking Major Market Players globally Purchase Directly @ Artificial Intelligence Education Sector Market research report involves emphasis historic forecast revenue market segments anticipated growth rates. The chief elements driving impacting growth market data analytics derived combination primary secondary sources. The key players covered study, Cognii, IBM Corporation, Quantum Adaptive Learning, ALKES Corporation, Dreambox Learning, Blackboard, Microsoft Corporation, Pearson Corporation, Jenzabar, SOFIA Labs. No Pages: 97 The scope Global Artificial Intelligence Education Sector Report: Market representation main players, analysis, size, situation business, SWOT analysis 2020 2026. Regional scope North America U.S.; Canada; Mexico, Europe Germany; U.K.; France; Italy; Russia; Spain etc, South America Brazil; Argentina etc, Middle East Africa Saudi Arabia; South Africa Methodology A mixture primary secondary research Report coverage statistics, opportunities, challenges, drivers, restraints, limits, market size, share, trends. Forecast period 2020 2026 Market segment Type, product split Learner Model Pedagogical Model Domain Model Market segment Application, split Higher Education Primary Secondary Education Others Important Aspects Artificial Intelligence Education Sector Report: Top factors like revenue, supplydemand ratio, market status market value reflected. All Global Artificial Intelligence Education Sector market players analysed competitive structure, development plans regional presence. The market analysis 20132020 forecast analysis 20202026 conducted base year 2020. Top regions countries huge growth potential studied report. The SWOT analysis regions players lead analysis growth factors market risks. The segmented market view based product type, application region provide simpler market overview. The market outlook, Artificial Intelligence Education Sector gross margin study, price type analysis explained. The distributors, traders, dealers manufacturers Artificial Intelligence Education Sector profiled global scale. The forecast analysis type, application region conducted present sales margin, market share, revenue growth rate. The information mergers acquisitions Artificial Intelligence Education Sector, product launches, new industry plans policies development status analysed report. Why To Select This Report: Complete analysis market dynamics, market status competitive Artificial Intelligence Education Sector view offered. Forecast Global Artificial Intelligence Education Sector Industry trends present market drivers, constraints growth opportunities. The fiveyear forecast view shows market expected grow coming years. All vital Global Artificial Intelligence Education Sector Industry verticals presented study like Product Type, Applications Geographical Regions. Table Contents 1 Study Coverage 2 Executive Summary 3 Breakdown Data Manufacturers 4 Breakdown Data Type 4.1 Global Artificial Intelligence Education Sector Sales Type 4.2 Global Artificial Intelligence Education Sector Revenue Type 4.3 Artificial Intelligence Education Sector Price Type 5 Breakdown Data Application 5.1 Overview 5.2 Global Artificial Intelligence Education Sector Breakdown Data Application 6 North America 7 Europe 8 Asia Pacific 9 Central South America 10 Middle East Africa 11 Company Profiles 12 Future Forecast 13 Market Opportunities, Challenges, Risks Influences Factors Analysis 14 Value Chain Sales Channels Analysis 15 Research Findings Conclusion 16 Appendix Customization Service Report: Orian Research provides customization reports need. This report personalized meet requirements. Get touch sales team, guarantee report suits necessities : Orian Research comprehensive collections market intelligence reports World Wide Web. Our reports repository boasts 500000 industry country research reports 100 publishers. We continuously update repository provide clients easy access worlds complete current database expert insights global industries, companies, products. We specialize custom research situations syndicate research offerings meet specific requirements esteemed clients. 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https://www.businesschief.com/technology-and-ai/andampt-charge-one-cent-smartphones-black-friday-1
2020-08-02T00:00:00
en
AT&T to Charge One Cent for Smartphones on Black Friday | Technology & AI | Business Chief North America
AT&T to Charge One Cent for Smartphones on Black Friday | Technology & AI | Business Chief North America
AT&T to Charge One Cent for Smartphones on Black Friday
ATamp;T Charge One Cent Smartphones Black Friday Technology AI Business Chief North America
2,020
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https://www.fastcompany.com/90584816/deepmind-alphafold-alphabet-ai-proteins-drug-discovery?partner=feedburner&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+fastcompany%2Fheadlines+%28Fast+Company%29
2020-12-14T00:00:00
en
DeepMind’s AlphaFold AI could revolutionize drug discovery
DeepMind’s AlphaFold AI could revolutionize drug discovery Fast CompanyFollowCOVID-19Co.DesignTechWork LifeNewsImpactPodcastsVideoRecommenderSubscribeNewslettersMagazineFastCo WorksHoneywellLenovoSiemensHomepageCOVID-19Co.DesignTechWork LifeNewsImpactPodcastsVideoRecommenderSubscribeHelp Centerfastco worksBooz Allen HamiltonCapital OneEPOSFacebookGSKHoneywellLenovoSAP FOR MIDMARKET SIEMENSFastCo 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:advertisementadvertisement12-14-208:00 am DeepMind’s latest AI breakthrough could turbocharge drug discoveryCreating new drugs is notoriously slow and expensive. AlphaFold’s ability to understand proteins could help researchers move much faster. [Source images: dar woto/iStock; Gabriele Grassl/iStock] By Ruth Reader6 minute ReadadvertisementadvertisementadvertisementAt the end of 2018, at a biology conference and competition known as Critical Assessment of Structure Prediction, Alphabet’s London-based AI subsidiary DeepMind made an incredible showing of its ability to infer the physical structure of proteins based on their genetic code. DeepMind’s AI, AlphaFold, won the competition, making the best predictions in 43 out of 90 tests. The company had never participated in the conference before.advertisementadvertisementWhile impressive, the technology wasn’t yet capable of replacing the existing expensive and time-consuming experimental methods for determining what these proteins look like. However, its latest software comes close.In November, AlphaFold again outperformed all the other competing groups at CASP. The technology solved protein structures other labs had been working on for years. Scientists think the technology could have immense implications for the way proteins are studied.DeepMind is still in the process of validating its latest technology. But it’s already working with academic and industry partners to understand how the technology can have the most impact. One obvious area could be drug discovery. Understanding the way proteins fold into three-dimensional shapes is critical to understanding how to design drugs. Scientists need to know how various molecules lock onto proteins and change the way they operate in the body in order to propose potential medicines.Now DeepMind is validating its technology and writing a paper about how it all works. In a conversation with Fast Company, its principal and team lead Pushmeet Kohli explains how the technology has been streamlined to make better predictions about the 3-Dstructure of the protein and what that means for its future. This Q&A  has been edited for brevity and clarity.Fast Company: How has the AlphaFold technology changed since last year?Pushmeet Kohli: In the previous work, the neural network was getting the sequence of a protein and predicting which particular amino acids would be close to each other. So it was predicting this histogram or this distance matrix, which was essentially saying that this amino acid would be close to this amino acid and so on. Then a second module was essentially using that information to fita 3-D structure to that information.advertisementIn the new system, that two-stage process doesn’t happen anymore. It is one neural network, which just takes the sequence and the alignment and directly makes a prediction about the structure of the protein.That neural network is modulated with the ability to generalize. In school, we learn the concept of addition. We don’t memorize that three plus four is equal to seven or 23 plus 17 is equal to 40. We understand the concept of what addition is and how you can add any two numbers. That conceptual understanding is what we have tried to bake into the neural network so that it does not memorize that “for this sequence it is this structure.” It tries to understand what concepts are at play, so that it can predict any protein, not just the proteins that were intuited in the training data.FC: What proteins can it not predict?PK: It still bases its understanding on evolutionary history. So it basically looks at all the proteins that are known and sees how certain residues interact. It’s using that information to make predictions about the structure.Proteins are not like Lego pieces. They are flexible, so they can move around.”Pushmeet Kohli, DeepMindNow, if you have a protein which is completely new, which does not have an evolutionary history—a synthetic protein, which has just been designed— then our system would not be as accurate as it would be for existing proteins. [But] if you have a protein which has naturally occurring, which has evolutionary history, then our system will be able to perform quite well. In the CAS competition, we were able to see that for a large majority of the proteins in the competition our system was able to produce extremely accurate predictions which almost are on par with experimental methods.FC: How can this technology help researchers or industry biologists?advertisementPK: Let’s say you’re trying to understand the mechanisms of disease. Even if you take the example of SARS COV-2  [the virus that causes COVID-19], one of the most important elements was to first sequence the virus and then to understand its 3-D structures, after which we were able to understand how the virus or the spike protein was interfacing with the cells of the human body.With this technology we would be able to accelerate that process. Experimentalists would now be able to do a better job and be faster designing this experiment rather than having to wait for a couple of years while somebody came up with the 3-D structure of the proteins.FC: Speed is a big deal in drug discovery in particular. Clinical trials take a long time and frequently fail. Could this technology help success rates?PK: Absolutely. Finding the structure of a protein is so time consuming. Drug designers have to be very careful as to which particular protein they would like to understand and invest that amount of money and effort to be able to find the structure of that group.Now if this new system allows drug researchers to not only be able to understand the 3D structure for one particular target, but a large number of targets, that then definitely opens up a bigger window for them to understand not just how a specific drug is going to interact with a protein, but how is that going to be tracked with how that drug would interact with many other proteins.Our hope is that this knowledge will allow experiments to become more effective. But this is something that has to be validated over time. We hope to see how this technology interacts with various use cases like drug development.advertisementFC: What is the next step for you as researchers?PK: For these last three to four years, our focus has been on this extremely important problem and pushing it forward. We’re very happy that we have been able make this advancement. Of course there are many problems that remain, and that’s what the focus of our research team is: improving the system further, not only in accuracy, but also in coverage. There are many other questions that our system is still is unable to answer.For example, we are making predictions about a static structure of a protein, but proteins are not like Lego pieces. They are flexible, so they can move around. How do they flex and how do those movements allow them to bind to other proteins? When you are thinking about biologics, where proteins act with other proteins, like insulin, then the interaction becomes more sophisticated and the flexible structure needs to be taken into account. Answering those questions are a key scientific and research challenge that we intend to take up next.We are also investigating the most impactful way for this technology to interact, not just with commercial, but also in academic partnerships. We received this very encouraging news in the form of the competition results only in the last few weeks. Over the next few weeks our team is making plans about how do we now have partnerships with academic, industrial, and commercial partners. The key thing that we are trying to optimize is the impact that this technology can have in the world.About the authorRuth Reader is a writer for Fast Company. She covers the intersection of health and technology. MoreTechnology Newsletter Sign UpSee All NewslettersReceive special Fast Company offers.VideoImpactImpactThese new gas pump warning labels remind you about climate change while you fill upImpactWhat toys from the past can tell us about how we predict the futureImpactCan we pay people to get them to take the coronavirus vaccine? Here’s why it might not workNewsNewsElectoral College vote: How to watch live streams, coverage on CNN, MSNBC, and elsewhereNewsReddit is buying TikTok rival Dubsmash to bolster its video offeringsNewsWhat is sedition? How is it different from treason? You’re not alone in askingCo.DesignCo.DesignThis empathic website helps you think and talk about deathCo.DesignThis corporate campus is now a mini smart cityCo.DesignThe best gift for people who are really into architecture? Skyscraper sex toysWork LifeWork LifeCompletely wiped out from Zoom meetings? Here are 5 exercises for an instant energy boostWork LifeHow to deal with loneliness and isolation over the holidaysWork LifeSelf-awareness is key to success. Here are 5 ways you can improve itAdvertisePrivacy PolicyTermsNotice of CollectionDo Not Sell My DataPermissionsContactAbout UsSite MapFast Company & Inc © 2020 Mansueto Ventures, LLC
DeepMind’s AlphaFold AI could revolutionize drug discovery
DeepMinds AlphaFold AI revolutionize drug discovery Fast CompanyFollowCOVID19Co.DesignTechWork LifeNewsImpactPodcastsVideoRecommenderNewslettersMagazineFastCo WorksHoneywellLenovoSiemensHomeCOVID19Co.DesignTechWork LifeNewsImpactPodcastsVideoRecommenderHelp Centerfastco worksBooz Allen HamiltonCapital OneEPOSFacebookGSKHoneywellLenovoSAP FOR MIDMARKET SIEMENSFastCo 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:advertisementadvertisement1214208:00 DeepMinds latest AI breakthrough turbocharge drug discoveryCreating new drugs notoriously slow expensive. AlphaFolds ability understand proteins help researchers faster. [Source images: dar wotoiStock; Gabriele GrassliStock] By Ruth Reader6 minute ReadadvertisementadvertisementadvertisementAt end 2018, biology conference competition known Critical Assessment Structure Prediction, Alphabets Londonbased AI subsidiary DeepMind incredible showing ability infer physical structure proteins based genetic code. DeepMinds AI, AlphaFold, competition, making best predictions 43 90 tests. The company participated conference before.advertisementadvertisementWhile impressive, technology wasnt capable replacing existing expensive timeconsuming experimental methods determining proteins look like. However, latest software comes close.In November, AlphaFold outperformed competing groups CASP. The technology solved protein structures labs working years. Scientists think technology immense implications way proteins studied.DeepMind process validating latest technology. But working academic industry partners understand technology impact. One obvious area drug discovery. Understanding way proteins fold threedimensional shapes critical understanding design drugs. Scientists need know molecules lock proteins change way operate body order propose potential medicines.Now DeepMind validating technology writing paper works. In conversation Fast Company, principal team lead Pushmeet Kohli explains technology streamlined better predictions 3Dstructure protein means future. This QA edited brevity clarity.Fast Company: How AlphaFold technology changed year?Pushmeet Kohli: In previous work, neural network getting sequence protein predicting particular amino acids close other. So predicting histogram distance matrix, essentially saying amino acid close amino acid on. Then second module essentially information fita 3D structure information.advertisementIn new system, twostage process doesnt happen anymore. It neural network, takes sequence alignment directly makes prediction structure protein.That neural network modulated ability generalize. In school, learn concept addition. We dont memorize plus equal seven 23 plus 17 equal 40. We understand concept addition add numbers. That conceptual understanding tried bake neural network memorize sequence structure. It tries understand concepts play, predict protein, proteins intuited training data.FC: What proteins predict?PK: It bases understanding evolutionary history. So basically looks proteins known sees certain residues interact. Its information predictions structure.Proteins like Lego pieces. They flexible, around.Pushmeet Kohli, DeepMindNow, protein completely new, evolutionary historya synthetic protein, designed accurate existing proteins. [But] protein naturally occurring, evolutionary history, able perform well. In CAS competition, able large majority proteins competition able produce extremely accurate predictions par experimental methods.FC: How technology help researchers industry biologists?advertisementPK: Lets youre trying understand mechanisms disease. Even example SARS COV2 [the virus causes COVID19], important elements sequence virus understand 3D structures, able understand virus spike protein interfacing cells human body.With technology able accelerate process. Experimentalists able better job faster designing experiment wait couple years somebody came 3D structure proteins.FC: Speed big deal drug discovery particular. Clinical trials long time frequently fail. Could technology help success rates?PK: Absolutely. Finding structure protein time consuming. Drug designers careful particular protein like understand invest money effort able structure group.Now new allows drug researchers able understand 3D structure particular target, large number targets, definitely opens bigger window understand specific drug going interact protein, going tracked drug interact proteins.Our hope knowledge allow experiments effective. But validated time. We hope technology interacts use cases like drug development.advertisementFC: What step researchers?PK: For years, focus extremely important problem pushing forward. Were happy able advancement. Of course problems remain, thats focus research team is: improving further, accuracy, coverage. There questions unable answer.For example, making predictions static structure protein, proteins like Lego pieces. They flexible, around. How flex movements allow bind proteins?When thinking biologics, proteins act proteins, like insulin, interaction sophisticated flexible structure needs taken account. Answering questions key scientific research challenge intend next.We investigating impactful way technology interact, commercial, academic partnerships. We received encouraging news form competition results weeks. Over weeks team making plans partnerships academic, industrial, commercial partners. The key thing trying optimize impact technology world.About authorRuth Reader writer Fast Company. She covers intersection health technology. MoreTechnology Newsletter Sign UpSee All NewslettersReceive special Fast Company offers.VideoImpactImpactThese new gas pump warning labels remind climate change upImpactWhat toys past tell predict futureImpactCan pay people coronavirus vaccine? Heres workNewsNewsElectoral College vote: How watch live streams, coverage CNN, MSNBC, elsewhereNewsReddit buying TikTok rival Dubsmash bolster video offeringsNewsWhat sedition? How different treason? Youre askingCo.DesignCo.DesignThis empathic website helps think talk deathCo.DesignThis corporate campus mini smart cityCo.DesignThe best gift people architecture? Skyscraper sex toysWork LifeWork LifeCompletely wiped Zoom meetings? Here 5 exercises instant energy boostWork LifeHow deal loneliness isolation holidaysWork LifeSelfawareness key success. Here 5 ways improve itAdvertiseTermsNotice CollectionDo Not Sell My DataPermissionsSite MapFast Company 2020 Mansueto Ventures, LLC
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"newsletter", "sign", "upsee", "special", "fast", "company", "offers", "new", "gas", "pump", "warning", "labels", "remind", "climate", "change", "upimpactwhat", "toys", "past", "tell", "predict", "futureimpactcan", "pay", "people", "coronavirus", "vaccine", "heres", "college", "vote", "watch", "live", "streams", "coverage", "cnn", "msnbc", "buying", "tiktok", "rival", "dubsmash", "bolster", "video", "sedition", "different", "treason", "youre", "askingco", "designco", "designthis", "empathic", "website", "helps", "think", "talk", "deathco", "designthis", "corporate", "campus", "mini", "smart", "cityco", "designthe", "best", "gift", "people", "architecture", "skyscraper", "sex", "toyswork", "lifework", "lifecompletely", "wiped", "zoom", "meetings", "exercises", "instant", "energy", "boostwork", "lifehow", "deal", "loneliness", "isolation", "holidayswork", "key", "success", "ways", "improve", "collectiondo", "sell", "mapfast", "company", "mansueto", "ventures", "llc" ]
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379
https://www.easterneye.biz/new-deal-to-help-cynergy-bank-to-harness-googles-expertise-in-data-ai/
2020-11-25T00:00:00
en
New deal to help Cynergy Bank to harness Google’s expertise in data, AI - EasternEye
New deal to help Cynergy Bank to harness Google’s expertise in data, AI - EasternEye Wednesday, November 25, 2020 Sign in / Join About us Contact us Advertise Subscribe Newsletter Home News Business Entertainment Arts and Culture Spiritual Videos Sports Top Lists Subscribe Lifestyle Travel Travel club Photos GG2 Power List Property Trending Now New deal to help Cynergy Bank to harness Google’s expertise in data, AI Stylish and unique gifts for Christmas A new world order Sunak says ‘investment was vital to aid the recovery’ as the UK to witness biggest contraction in over 300 years The extraordinary real story of freedom fighter Bhagat Singh The Girl and the Goddess is a spiritually enriching experience My top 10 ways to be awesome – Suzanne Virdee 4 Years of Dear Zindagi: Dialogues from the Alia Bhatt and Shah Rukh Khan starrer that are life lessons My playlist – Julia Gartha Raj Krishna: Cinema is a specific art Business HEADLINE STORY UK New deal to help Cynergy Bank to harness Google’s expertise in data, AI November 25, 2020 Pradip K Dhamecha, Non-Executive Director, Cynergy Bank UK-based Cynergy Bank has struck a deal with Google for an undisclosed amount to develop a new digital platform using cloud technology. The deal will help the bank to harness the search giant’s expertise in data and artificial intelligence with the traditional banking relationship managers. The partnership aims to provide a mixed digital and personal banking service for small business owners and professionals. Cynergy Bank, formerly the British division of Bank of Cyprus, is led by a consortium comprising Pradip Dhamecha OBE, Balbinder (Bal) Sohal, John Coulter and Ann Jones. According to a report in The Times, the new banking services will be launched in the first quarter of 2021. The bank hopes to boost its 80,000 customers to between 300,000 and 500,000 over the next three years. “At the moment, a relationship manager can serve about 30 clients. Using technology, a relationship manager should be able to serve over 100 with no reduction in service,” Nick Fahy, Cynergy’s chief executive, told The Times. With the help of Google the bank targets its relationship managers to spend 70 per cent to 80 per cent of their time with customers, using better processes and data analytics. Google’s Cloud service is used by banks including HSBC, Lloyds, Revolut, Starling and Monzo. Its cloud service is the third biggest in the world after Amazon Web Services and Microsoft’s Azure. Cynergy was created in 2018 when Bank of Cyprus sold its British division to a group of British retail and property entrepreneurs for £103 million, raising capital to support the main part of the bank. RELATED ARTICLES MORE FROM AUTHOR HEADLINE STORY OneWeb emerges from bankruptcy; wants to be a 'truly global force' by 2022 November 11, 2020 HEADLINE STORY Rishi Sunak encourages families to meet up 'virtually' for Diwali celebrations November 11, 2020 HEADLINE STORY Young, ethnic minorities to be hit hard by post-furlough unemployment: report October 10, 2020 Most Popular Taapsee Pannu on being replaced on whims of an actor’s wife November 17, 2020 Madhuri Dixit on 23 years of Dil To Pagal Hai: It is a film very close to my heart October 31, 2020 RB Leipzig branch into India by partnering ISL side FC Goa November 12, 2020 Johnson's adviser says the Govt should publish the report on alleged bullying by Priti Patel November 11, 2020 Chhalaang movie review: Hansal Mehta, Rajkummar Rao and Nushrratt Bharuccha get full marks for this one November 13, 2020 Easterneye.biz's compelling news content and trusted multi-platform network attracts a loyal readership. This offers advertisers an exceptional opportunity to connect with audiences who are otherwise difficult to reach. Copyright © 2020 Garavi Gujarat Publications Ltd & Garavi Gujarat Publications Terms & Conditions Cookies Policy Privacy Policy
New deal to help Cynergy Bank to harness Google’s expertise in data, AI
New deal help Cynergy Bank harness Googles expertise data, AI EasternEye Wednesday, November 25, 2020 Sign Join About Advertise Newsletter Home News Business Entertainment Arts Culture Spiritual Videos Sports Top Lists Lifestyle Travel Travel club Photos GG2 Power List Property Trending Now New deal help Cynergy Bank harness Googles expertise data, AI Stylish unique gifts Christmas A new world order Sunak says investment vital aid recovery UK witness biggest contraction 300 years The extraordinary real story freedom fighter Bhagat Singh The Girl Goddess spiritually enriching experience My 10 ways awesome Suzanne Virdee 4 Years Dear Zindagi: Dialogues Alia Bhatt Shah Rukh Khan starrer life lessons My playlist Julia Gartha Raj Krishna: Cinema specific art Business HEADLINE STORY UK New deal help Cynergy Bank harness Googles expertise data, AI November 25, 2020 Pradip K Dhamecha, NonExecutive Director, Cynergy Bank UKbased Cynergy Bank struck deal Google undisclosed develop new digital platform cloud technology. The deal help bank harness search giants expertise data artificial intelligence traditional banking relationship managers. The partnership aims provide mixed digital personal banking service small business owners professionals. Cynergy Bank, British division Bank Cyprus, led consortium comprising Pradip Dhamecha OBE, Balbinder Bal Sohal, John Coulter Ann Jones. According report The Times, new banking services launched quarter 2021. The bank hopes boost 80,000 customers 300,000 500,000 years. At moment, relationship manager serve 30 clients. Using technology, relationship manager able serve 100 reduction service,Nick Fahy, Cynergys chief executive, told The Times. With help Google bank targets relationship managersto spend 70 cent 80 cent time customers, better processes data analytics. Googles Cloud service banks including HSBC, Lloyds, Revolut, Starling Monzo.Its cloud service biggest world Amazon Web Services Microsofts Azure. Cynergy created 2018 Bank Cyprus sold British division group British retail property entrepreneurs 103 million, raising capital support main bank. RELATED ARTICLES MORE FROM AUTHOR HEADLINE STORY OneWeb emerges bankruptcy; wants truly global force 2022 November 11, 2020 HEADLINE STORY Rishi Sunak encourages families meet virtually Diwali celebrations November 11, 2020 HEADLINE STORY Young, ethnic minorities hit hard postfurlough unemployment: report October 10, 2020 Most Popular Taapsee Pannu replaced whims actors wife November 17, 2020 Madhuri Dixit 23 years Dil To Pagal Hai: It film close heart October 31, 2020 RB Leipzig branch India partnering ISL FC Goa November 12, 2020 Johnsons adviser says Govt publish report alleged bullying Priti Patel November 11, 2020 Chhalaang movie review: Hansal Mehta, Rajkummar Rao Nushrratt Bharuccha marks November 13, 2020 Easterneye.bizs compelling news content trusted multiplatform network attracts loyal readership. This offers advertisers exceptional opportunity connect audiences difficult reach. 2020 Garavi Gujarat Publications Ltd Garavi Gujarat Publications Terms Conditions Policy
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https://coleofduty.com/industry-analysis/2020/08/09/june-2020-global-ai-for-radiology-market-research-report-is-projected-to-witness-considerable-growth-by-2027arterys-aidoc-qure-ai-general-electric-ge-company-ibm/
2020-08-09T00:00:00
en
June 2020 Global AI for Radiology Market Research Report is Projected to Witness Considerable Growth by 2027Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM – Cole of Duty
June 2020 Global AI for Radiology Market Research Report is Projected to Witness Considerable Growth by 2027Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM – Cole of Duty About Us Privacy Policy Our Staff Contact Us Cole of Duty Cole Market Research Market Reports Industry Analysis Analysis Forecast COVID-19 Market Impact Market Price Analysis Market Study Military News Contact Us About Us Privacy Policy Our Staff Contact Us HomeIndustry Analysis2020August9June 2020 Global AI for Radiology Market Research Report is Projected to Witness Considerable Growth by 2027Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM June 2020 Global AI for Radiology Market Research Report is Projected to Witness Considerable Growth by 2027Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM Posted On: August 9, 2020 Posted By: Emily Stone Comments: 0 AI for Radiology market research report covers and analyses several factors which affect the growth of the AI for Radiology market. The report on the AI for Radiology market also provides a detailed analysis of the major aspects of the companies such as – financial aspects, research and development and the impact of the COVID-19 pandemic on these companies in the estimated forecasts period. [email protected] or call us on +1-312-376-8303.Download Report sample for free ckecl here: @ https://www.cognitivemarketresearch.com/medical-devices–consumables/ai-for-radiology-market-report#download_report Report Scope:Some of the key types analyzed in this report are as follows: Deep Learning, Computer Vision, Others Some of the key applications as follow: Neurology, Cardiovascular, Breast, Lung, Liver, Others Following are the major key players: Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM, Intel, Medtronic, Microsoft, NVIDIA, Siemens AG Request COVID-19 Impact Analysis for AI for Radiology by clicking on following links: @ https://www.cognitivemarketresearch.com/medical-devices–consumables/ai-for-radiology-market-report#download_report The AI for Radiology market also determines the introduction of new products and strategies which are used by several companies to reduce the impact of the pandemic of COVID-19. The research report also analyses the value chain analysis of the AI for Radiology market for the estimated forecast period. It also analyses the risk factors which are associated with the AI for Radiology market.The worldwide geological [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe] analysis of the AI for Radiology market has furthermore been done cautiously in this report. Inquiry for Buying or Customization of Report: @ https://www.cognitivemarketresearch.com/medical-devices–consumables/ai-for-radiology-market-report#download_report There are 13 Chapters to display in the AI for Radiology market:• Chapter 1: Introductory overview, Specifications, Classification, and Applications of AI for Radiology market, Segment by Regions;• Chapter 2: Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;• Chapter 3: Technical Data and Manufacturing Plants Analysis of AI for Radiology, Capacity and Commercial Production Rate, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;• Chapter 4: Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);• Chapter 5: Regional Analysis • Chapter 6 and 7: Segment Analysis by Types and Applications• Chapter 8: Company profiling of major manufacturers • Chapter 9: Market Trend Analysis, Regional Market Trend, Market Trend by Product Type and Applications• Chapter 10: Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;• Chapter 11, 12 and 13: AI for Radiology sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source………….. To check the complete Table of Content click here: @ https://www.cognitivemarketresearch.com/medical-devices–consumables/ai-for-radiology-market-report#table_of_contents In addition, the report on AI for Radiology market also provides a detailed analysis of the impact of the several political, environmental, social, technological, legal and economical factors which are likely to affect the AI for Radiology market. Moreover, the change in the trading policies due to COVID-19 has also been covered in depth.The report also provides a detailed analysis of the financial information, companies which are operating and the key strategies which are used by these players to overcome the impact of the COVID-19 pandemic. About Us: http://www.cognitivemarketresearch.com/about-usNicolas Shaw,Sales Manager,Global Business Development,Website: http://www.cognitivemarketresearch.comEmail: [email protected] or call us on +1-312-376-8303.Address: 20 N State Street, Chicago, Illinois, 60602, United States. **********Download the Entire Report************************************************* https://www.cognitivemarketresearch.com/medical-devices–consumables/ai-for-radiology-market-report Post navigation Prev PostNext Post Recent Posts Current COVID-19 Impact on Calcitonin Injection Market Research 2020 With Strategic Analysis of Key Companies – Asahi Kasei Pharma, Future Health Pharma, Lisapharma, Novartis, Yingu Current COVID-19 Impact on Isolated Current Sensors Market Research 2020 With Strategic Analysis of Key Companies – Asahi Kasei Microdevices, Aceinna, Melexis, Allegro Microsystems, Infineon June 2020 Global Magnetometers Sensor Market Research Report is Projected to Witness Considerable Growth by 2027Asahi Kasei Corporation, Sanken Electric Co. Ltd., Infineon Technologies AG, Melexis NV, Micronas Semiconductor Holdings AG June 2020 Global Styrenic Thermoplastic Elastomers Market Research Report is Projected to Witness Considerable Growth by 2027Asahi Kasei Corporation, RTP Company, J Chem Korea, Korea Kumho Petrochemical Co. Ltd (KKPC), Kuraray Co Current COVID-19 Impact on Magnetic field Sensing ICs Market Research 2020 With Strategic Analysis of Key Companies – Asahi Kasei Corporation, Infineon, NXP, TE, Honeywell Cole of Duty by Everestthemes
June 2020 Global AI for Radiology Market Research Report is Projected to Witness Considerable Growth by 2027Arterys, Aidoc, Qure.ai, General Electric (GE) Company, IBM
June 2020 Global AI Radiology Market Research Report Projected Witness Considerable Growth 2027Arterys, Aidoc, Qure.ai, General Electric GE Company, IBM Cole Duty Our Staff Us Cole Duty Cole Market Research Market Reports Industry Analysis Analysis Forecast COVID19 Market Impact Market Price Analysis Market Study Military News Us Our Staff Us HomeIndustry Analysis2020August9June 2020 Global AI Radiology Market Research Report Projected Witness Considerable Growth 2027Arterys, Aidoc, Qure.ai, General Electric GE Company, IBM June 2020 Global AI Radiology Market Research Report Projected Witness Considerable Growth 2027Arterys, Aidoc, Qure.ai, General Electric GE Company, IBM Posted On: August 9, 2020 Posted By: Emily Stone Comments: 0 AI Radiology market research report covers analyses factors affect growth AI Radiology market. The report AI Radiology market provides detailed analysis major aspects companies financial aspects, research development impact COVID19 pandemic companies estimated forecasts period. [emailprotected] 13123768303.Download Report sample free ckecl here: @ Report Scope:Some key types analyzed report follows: Deep Learning, Computer Vision, Others Some key applications follow: Neurology, Cardiovascular, Breast, Lung, Liver, Others Following major key players: Arterys, Aidoc, Qure.ai, General Electric GE Company, IBM, Intel, Medtronic, Microsoft, NVIDIA, Siemens AG Request COVID19 Impact Analysis AI Radiology clicking following links: @ The AI Radiology market determines introduction new products strategies companies reduce impact pandemic COVID19. The research report analyses value chain analysis AI Radiology market estimated forecast period. It analyses risk factors associated AI Radiology market.The worldwide geological [Latin America, North America, Asia Pacific, Middle East Africa, Europe] analysis AI Radiology market furthermore cautiously report. Inquiry Buying Customization Report: @ There 13 Chapters display AI Radiology market: Chapter 1: Introductory overview, Specifications, Classification, Applications AI Radiology market, Segment Regions; Chapter 2: Manufacturing Cost Structure, Raw Material Suppliers, Manufacturing Process, Industry Chain Structure; Chapter 3: Technical Data Manufacturing Plants Analysis AI Radiology, Capacity Commercial Production Rate, Manufacturing Plants Distribution, RD Status Technology Source, Raw Materials Sources Analysis; Chapter 4: Overall Market Analysis, Capacity Analysis Company Segment, Sales Analysis Company Segment, Sales Price Analysis Company Segment; Chapter 5: Regional Analysis Chapter 6 7: Segment Analysis Types Applications Chapter 8: Company profiling major manufacturers Chapter 9: Market Trend Analysis, Regional Market Trend, Market Trend Product Type Applications Chapter 10: Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis; Chapter 11, 12 13: AI Radiology sales channel, distributors, traders, dealers, Research Findings Conclusion, appendix data source.. To check complete Table Content click here: @ In addition, report AI Radiology market provides detailed analysis impact political, environmental, social, technological, legal economical factors likely affect AI Radiology market. Moreover, change trading policies COVID19 covered depth.The report provides detailed analysis financial information, companies operating key strategies players overcome impact COVID19 pandemic. : Shaw,Sales Manager,Global Business Development,Website: [emailprotected] 13123768303.Address: 20 N State Street, Chicago, Illinois, 60602, United States. Download Entire Report Post navigation Prev PostNext Post Recent Posts Current COVID19 Impact Calcitonin Injection Market Research 2020 With Strategic Analysis Key Companies Asahi Kasei Pharma, Future Health Pharma, Lisapharma, Novartis, Yingu Current COVID19 Impact Isolated Current Sensors Market Research 2020 With Strategic Analysis Key Companies Asahi Kasei Microdevices, Aceinna, Melexis, Allegro Microsystems, Infineon June 2020 Global Magnetometers Sensor Market Research Report Projected Witness Considerable Growth 2027Asahi Kasei Corporation, Sanken Electric Co. Ltd., Infineon Technologies AG, Melexis NV, Micronas Semiconductor Holdings AG June 2020 Global Styrenic Thermoplastic Elastomers Market Research Report Projected Witness Considerable Growth 2027Asahi Kasei Corporation, RTP Company, J Chem Korea, Korea Kumho Petrochemical Co. Ltd KKPC, Kuraray Co Current COVID19 Impact Magnetic field Sensing ICs Market Research 2020 With Strategic Analysis Key Companies Asahi Kasei Corporation, Infineon, NXP, TE, Honeywell Cole Duty Everestthemes
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POSITIVE
381
https://www.newschain.uk/news/pm-sets-out-ps165bn-defence-spending-space-command-and-ai-agency-planned-49205
2020-11-19T00:00:00
en
PM sets out £16.5bn of defence spending as space command and AI agency planned | NewsChain
PM sets out £16.5bn of defence spending as space command and AI agency planned | NewsChain Women's SportLifestyleNewsMen's SportVideoUS editionUK editionUS editionUS editionUK editionUS edition LATEST CHAINSCoronavirusWomen’s Super LeagueUS PoliticsPremier League HomeNewsPM sets out £16.5bn of defence spending as space command and AI agency plannedHMS Queen Elizabeth (PA Wire)By The Newsroom13:28pm, Thu 19 Nov 2020 CBAD8A00-D2B9-4E0E-ADDF-D0366C357A34 Created with sketchtool. E9A4AA46-7DC3-48B8-9CE2-D75274FB8967 Created with sketchtool. 65CCAE04-4748-4D0F-8696-A91D8EB3E7DC Created with sketchtool. Boris Johnson has set out a £16.5 billion increase in defence spending over four years as he said the UK faces a “perilous” period for global security.The Prime Minister told MPs the UK will once again become Europe’s leading naval power, the RAF will get new hi-tech jets and the military will be modernised.The plans include the creation of an agency dedicated to artificial intelligence, and a “space command” capable of launching the UK’s first rocket by 2022.A National Cyber Force, combining intelligence agencies and service personnel, is already operating against terrorists, organised crime groups and hostile states, the Prime Minister confirmed.Everything we do in this country - every job, every business, even how we shop and what we eat - depends on a basic minimum of global securityMr Johnson suggested that in future, a soldier in hostile territory would be “alerted to a distant ambush by sensors on satellites or drones”, with artificial intelligence helping devise the best response which could involve an air strike, an assault by a swarm of drones or a cyber-attack.Warships and combat vehicles could be equipped with “inexhaustible” lasers to take on opposing forces, Mr Johnson suggested, with no prospect of them running out of ammunition. The announcements were billed as the biggest increase in defence spending since the Cold War and form part of a wider review of the UK’s foreign policy and security objectives which will now not be published until next year.Mr Johnson said that for decades, successive governments have “trimmed and cheese-pared” defence budgets, risking the future viability of the Armed Forces.The plans set out by Mr Johnson will see the UK spend more on defence than any Nato member except the US.Setting out the reason for the multi-year settlement, Mr Johnson told the Commons: “The international situation is now more perilous and intensely competitive than at any time since the Cold War.“Everything we do in this country – every job, every business, even how we shop and what we eat – depends on a basic minimum of global security.“Our people are sustained by a web of lifelines, oxygen pipes that must be kept open – open shipping lanes, a functioning internet, safe air corridors, reliable undersea cables, and tranquillity in distant straits.”Measures set out by the Prime Minister, who addressed MPs remotely as he continues his period of coronavirus self-isolation, include: – Restoring the UK’s position as the “foremost naval power in Europe”, including the deployment of aircraft carrier HMS Queen Elizabeth to the Mediterranean, Indian Ocean and East Asia next year.– Reshaping the Army for an age of “networked warfare” and strengthening the capabilities of special forces.– A £1.5 billion investment in military research and development.– A new fighter system for the RAF, using artificial intelligence and drone technology to “defeat any adversary in air-to-air combat”.Mr Johnson said the increase in defence spending is necessary to ensure the UK’s place on the global stage.“Extending British influence requires a once-in-a-generation modernisation of our Armed Forces and now is the right time to press ahead,” he said.Taking advantage of new technology, while acting speedily to “remove or reduce less relevant capabilities”, will transform the UK’s capabilities.Mr Johnson said the announcements mark the end of an “era of retreat” and could help create 10,000 jobs a year. His remarks will come as a relief for military chiefs, who have been pressing for a multi-year settlement to enable them to plan effectively for the future.Despite reports of reluctance to make the commitments in the Treasury, Mr Johnson insisted both Defence Secretary Ben Wallace and Chancellor Rishi Sunak “believe in this as fervently as I do”.Boris Johnson (PA Wire)His plans mark the first phase of the Government’s integrated review of the UK’s foreign, defence, development and security policy, with the final conclusions due to be unveiled next year.There has been speculation the aid budget will be slashed from 0.7% of national income to 0.5% in next week’s spending review as Whitehall is forced to tighten its belt in response to the economic damage caused by coronavirus.Mr Johnson refused to guarantee the 0.7% commitment will remain as he was challenged by MPs.Washington’s acting secretary of defence, Christopher C Miller, said in a statement that the US “applauds the announcement”, which he added will ensure “the UK military continues to be one of the finest fighting forces in the world”. He added: “Their commitment to increased defence funding should be a message to all free nations that the most capable among us can – and must – do more to counter emerging threats to our shared freedoms and security.”But Labour leader Sir Keir Starmer said it was a “spending announcement without a strategy” and questioned how it will be paid for.“The Government has yet again pushed back vital parts of the integrated review and there is no clarity over the Government’s strategic priorities,” Sir Keir said.Sign up to our newsletter DefenceThe UK’s aid budget – what you need to knowThu 19 Nov PM vows to ‘end era of retreat’ with biggest military investment since Cold WarThu 19 Nov Johnson promises biggest investment in the military since Cold WarWed 18 Nov William says he might need military’s help getting back into shape after lockdownTue 10 Nov Royal Navy warship monitors Russian ships in UK watersTue 10 Nov SpendingThe UK’s aid budget – what you need to knowThu 19 Nov PM vows to ‘end era of retreat’ with biggest military investment since Cold WarThu 19 Nov Johnson promises biggest investment in the military since Cold WarWed 18 Nov Tories spent more than £16m on general election, watchdog figures showWed 07 Oct More than a fifth of usual household spending prevented by lockdownThu 11 Jun PAProportion of students awarded first-class degrees in England continues to riseThu 19 Nov ‘No grudges’: Ian Wright forgives fan after letter apologising for racial abuseThu 19 Nov Rob McElhenney donates £6,000 to disabled Wrexham fan’s bathroom fundraiserThu 19 Nov Local travel restrictions among beefed-up measures being considered by ExecutiveThu 19 Nov TV watchdog will follow Diana Panorama interview investigation ‘closely’Thu 19 Nov Women's Sport 98FBBF21-B90D-4984-AA14-5720B859F93B Created with sketchtool. 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PM sets out £16.5bn of defence spending as space command and AI agency planned
PM sets 16.5bn defence spending space command AI agency planned NewsChain Womens SportLifestyleNewsMens SportVideoUS editionUK editionUS editionUS editionUK editionUS edition LATEST CHAINSCoronavirusWomens Super LeagueUS PoliticsPremier League HomeNewsPM sets 16.5bn defence spending space command AI agency plannedHMS Queen Elizabeth PA WireBy The Newsroom13:28pm, Thu 19 Nov 2020 CBAD8A00D2B94E0EADDFD0366C357A34 Created sketchtool. E9A4AA467DC348B89CE2D75274FB8967 Created sketchtool. 65CCAE0447484D0F8696A91D8EB3E7DC Created sketchtool. Boris Johnson set 16.5 billion increase defence spending years said UK faces perilous period global security.The Prime Minister told MPs UK Europes leading naval power, RAF new hitech jets military modernised.The plans include creation agency dedicated artificial intelligence, space command capable launching UKs rocket 2022.A National Cyber Force, combining intelligence agencies service personnel, operating terrorists, organised crime groups hostile states, Prime Minister confirmed.Everything country job, business, shop eat depends basic minimum global securityMr Johnson suggested future, soldier hostile territory alerted distant ambush sensors satellites drones, artificial intelligence helping devise best response involve air strike, assault swarm drones cyberattack.Warships combat vehicles equipped inexhaustible lasers opposing forces, Mr Johnson suggested, prospect running ammunition. The announcements billed biggest increase defence spending Cold War form wider review UKs foreign policy security objectives published year.Mr Johnson said decades, successive governments trimmed cheesepared defence budgets, risking future viability Armed Forces.The plans set Mr Johnson UK spend defence Nato member US.Setting reason multiyear settlement, Mr Johnson told Commons: The international situation perilous intensely competitive time Cold War.Everything country job, business, shop eat depends basic minimum global security.Our people sustained web lifelines, oxygen pipes kept open open shipping lanes, functioning internet, safe air corridors, reliable undersea cables, tranquillity distant straits.Measures set Prime Minister, addressed MPs remotely continues period coronavirus selfisolation, include: Restoring UKs position foremost naval power Europe, including deployment aircraft carrier HMS Queen Elizabeth Mediterranean, Indian Ocean East Asia year. Reshaping Army age networked warfare strengtheningthe capabilities special forces. A 1.5 billion investment military research development. A new fighter RAF, artificial intelligence drone technology defeat adversary airtoair combat.Mr Johnson said increase defence spending necessary ensure UKs place global stage.Extending British influence requires onceinageneration modernisation Armed Forces right time press ahead, said.Taking advantage new technology, acting speedily remove reduce relevant capabilities, transform UKs capabilities.Mr Johnson said announcements mark end era retreat help create 10,000 jobs year. His remarks come relief military chiefs, pressing multiyear settlement enable plan effectively future.Despite reports reluctance commitments Treasury, Mr Johnson insisted Defence Secretary Ben Wallace Chancellor Rishi Sunak believe fervently I do.Boris Johnson PA WireHis plans mark phase Governments integrated review UKs foreign, defence, development security policy, final conclusions unveiled year.There speculation aid budget slashed 0.7 national income 0.5 weeks spending review Whitehall forced tighten belt response economic damage caused coronavirus.Mr Johnson refused guarantee 0.7 commitment remain challenged MPs.Washingtons acting secretary defence, Christopher C Miller, said statement US applauds announcement, added ensure UK military continues finest fighting forces world. He added: Their commitment increased defence funding message free nations capable counter emerging threats shared freedoms security.But Labour leader Sir Keir Starmer said spending announcement strategy questioned paid for.The Government pushed vital parts integrated review clarity Governments strategic priorities, Sir Keir said.Sign newsletter DefenceThe UKs aid budget need knowThu 19 Nov PM vows end era retreat biggest military investment Cold WarThu 19 Nov Johnson promises biggest investment military Cold WarWed 18 Nov William says need militarys help getting shape lockdownTue 10 Nov Royal Navy warship monitors Russian ships UK watersTue 10 Nov SpendingThe UKs aid budget need knowThu 19 Nov PM vows end era retreat biggest military investment Cold WarThu 19 Nov Johnson promises biggest investment military Cold WarWed 18 Nov Tories spent 16m general election, watchdog figures showWed 07 Oct More fifth usual household spending prevented lockdownThu 11 Jun PAProportion students awarded firstclass degrees England continues riseThu 19 Nov No grudges: Ian Wright forgives fan letter apologising racial abuseThu 19 Nov Rob McElhenney donates 6,000 disabled Wrexham fans bathroom fundraiserThu 19 Nov Local travel restrictions beefedup measures considered ExecutiveThu 19 Nov TV watchdog follow Diana Panorama interview investigation closelyThu 19 Nov Womens Sport 98FBBF21B90D4984AA145720B859F93B Created sketchtool. FootballTennisWWEUFCAthleticsBoxingRugbyNetballCyclingGolfCricketMotorsportTokyo 2020HockeyBasketballHorse RacingWinter Youth Olympic GamesLifestyle 98FBBF21B90D4984AA145720B859F93B Created sketchtool. CelebrityFashion BeautyFood DrinkHealth WellbeingLifePersonal FinanceTravelNewsChains 98FBBF21B90D4984AA145720B859F93B Created sketchtool. NewsChain DiversityEqualityEqual payWorklife balanceFighting racismBreaking boundariesMental healthGrass rootsTransgender sportMens SportVideoArchive FOLLOW US E9A4AA467DC348B89CE2D75274FB8967 Created sketchtool. CBAD8A00D2B94E0EADDFD0366C357A34 Created sketchtool. ABOUT USCONTACT USTERMS OF USE Not Newspaper Ltd. 2020 PolicyTerms Use
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https://www.siliconrepublic.com/careers/national-data-strategy-uk-public-sector
2020-09-10T00:00:00
en
UK plans to train 500 public-sector employees in data science
UK plans to train 500 public-sector employees in data science Home Business Companies Enterprise Comms Start-ups All Discovery Innovation Machines Earth Science All Careers Advice People Employers Jobs All Video All More Subscribe Advertise About Contact us Privacy Policy BUSINESSDISCOVERYCAREERSVIDEOMORE Tweet Share Email COMPANIESENTERPRISECOMMSSTART-UPSALL Uber creates $800m fund to help drivers transition to EVs by 2025 Slack fails to reap Zoom-like revenue boost from remote working spike Xbox confirms the price of its new Series S console Google cancels plans for new office in Dublin ‘Businesses are realising they need to prioritise digital transformation’ ElectroRoute closes trading deal for 200MW energy storage sites in Offaly CyberSafeIreland warns of ‘worrying’ trends for kids gaming online Irish regulator orders Facebook to overhaul EU-US data transfers Cybercrime in Ireland now double global average with record levels of fraud Ransomware attack targets cybersecurity company Cygilant How Covid-19 has shifted network traffic loads and telecoms behaviour In digital transformation, not all workloads can shift fully into the cloud How rural areas can move beyond the digital divide exposed by Covid-19 What happened to Google and Facebook’s subsea cable plans? Eir fibre broadband network reaches 2m premises Virgin Media switches on 1Gbps broadband across Irish network Local authorities call for a better national 5G strategy Huawei claims 5G ban is ‘bad news for anyone in UK with a mobile phone’ Manna partners with Tesco for Galway drone delivery pilot Dublin’s Swyg aims to reinvent hiring with €1m raise 7 fintech start-ups pioneering in the sector Hays calls for applicants to ‘tech for good’ start-up competition Thunes raises $60m for its cross-border payments platform Irish fintech sector sees record investment during pandemic Weekend takeaway: Cosy up with 10 great sci-tech reads Moral licensing in the world of design The countdown is on to Ireland’s sci-tech extravaganza, Inspirefest 2017 Time running out to get your hands on Inspirefest early bird tickets Construction begins on €500m Limerick Twenty Thirty development Dave, technology and the power of people INNOVATIONMACHINESEARTH SCIENCEALL First Irish winner named for prestigious international psychology award AstraZeneca/Oxford Covid-19 vaccine study paused after patient illness ‘Social scientists play an important role in the fight against Covid in Ireland’ Eight researchers in Ireland bag Lero Director’s Prizes Enterprise Ireland seeking 25 international researchers for industry initiative In a culture of silence, Aoibhinn Ní Shúillebháin’s harassment speaks volumes Report reveals future of energy demand in a post-Covid world New test site for double-sided solar panels unveiled in Kilkenny New Irish supercomputing centre launched as part of EU initiative ‘People of colour aren’t empowered to make changes they’re brought in to make’ ESB receives €150m loan for national smart meter roll-out Elon Musk’s first step to ‘superhuman cognition’ revealed in pig’s brain How many people could live on Earth? Forget a climate shift in centuries, more like decades, climatologists claim WeForest doubles crowdfunding target to empower Indian village World awaits birth of ‘baby dragons’ in Slovenia Gold and platinum discovered in south-east Irish streams The bees are still in trouble, so we are too A perfect blend: Inspirefest serves up a stimulating mix of STEM and humanity Inspirefest snapshot: The prodigy turned empire-builder for girls in STEM Vogue 25 celebrates science, social media and activism With dreams of making it into space, this girl is a real inspiration Girls4Tech and STEM for all at Coolest Projects The Storytellers: 12 women shining a spotlight on women in STEM ADVICEPEOPLEEMPLOYERSJOBSALL ‘The job we are hired to do today will either disappear or be transformed’ Microsoft Ireland MD: Empathy is important when managing remote teams 6 skills you’ll need as a graduate entering the job market 7 ways to practise transparent leadership in the new era of work Remote working tools: Everything you need to know about Asana Watch: Johnson & Johnson’s crisis management during Covid-19 Overcoming ‘a lack of support from the system’ to pursue a job in gaming Working from home: An autistic person’s perspective How this solutions architect gets to make a difference to healthcare How N26’s Kelly McConville managed her imposter syndrome Why there’s ‘always a new cool thing to learn about’ as a data scientist 16 future of work influencers you should be following 6 top international companies hiring in data right now How do companies ensure diversity in their workforce? 6 companies hiring in fintech right now 7 US companies hiring in Ireland right now 7 of the coolest science jobs in the world Thinking about a career in marketing? An analytical mind is helpful Applications now open for Facebook’s Return to Work scheme Irish payments start-up CleverCards announces 30 new jobs US firm Peak6 announces 160 new jobs for Belfast Regeneron to add 400 new jobs at Limerick pharma base 20 new ‘long-term’ jobs announced at MSD Ballydine Thermo Fisher Scientific to hire for 36 ‘high-level’ jobs in Cork UK plans to train 500 public-sector employees in data science Survey suggests poor broadband is hampering working from home Could ‘nearshoring’ help businesses impacted by the US H-1B visa ban? Just 16pc of graduates have found jobs this year, survey suggests Netflix staff will return to offices when a Covid-19 vaccine is approved Belfast ranks strongly against UK cities for tech jobs and workforce ALL Why ‘grabbing the nettle’ will be crucial for business after Covid-19 Join us for Future Human, the first major international hybrid tech event How will Irish research operate in a post-Covid world? How Enterprise Ireland is supporting start-ups through a pandemic ‘We work on problems that have never been worked on before‘ How businesses can thrive in a post-Covid world ADVERTISESUBSCRIBECONTACTABOUTPRIVACY POLICY All Advice People Employers Jobs Careers Image: © Andrey Popov/Stock.adobe.com UK plans to train 500 public-sector employees in data science by Lisa Ardill 1 hour ago19 Views The UK’s National Data Strategy aims to build ‘a world-leading data economy’ and cultivate a workforce with the necessary skills. The UK government has said it will train hundreds of people employed in the public sector in data science over the next year. It comes as part of the country’s National Data Strategy, which promises to transform the UK into “a world-leading data economy”. Core elements of the strategy aim to build “trust in the data ecosystem” as well as data skills and access. The strategy plan states that in today’s digital economy, companies that can “use data effectively” are more competitive and “data-literate” people have a market advantage. However, it goes on to say that the UK has a “limited pool of data-skilled individuals”, particularly due to the cost of hiring and retaining those with the right qualifications. In response, the government will work towards creating an “institutionalised data culture, where data is seen as everyone’s job”. “Senior leadership and effective governance will be key to establishing a data culture across government, but everyone, regardless of seniority or profession, should see data as a priority in their role,” the strategy document says. Hiring Now Improve business performance through data and insights Careers for innovators Your next move could mean our next breakthrough Welcome what’s next Measures the UK government said it will take include prioritising the right skills and recruiting leaders with data and digital expertise “to build a strong cadre of technical, policy, legal and analytical data experts”. One of its most ambitious commitments is a plan to train 500 analysts in the UK’s public sector by 2021. Training will be rolled out through the Data Science Campus at the Office for National Statistics, the Government Analysis Function network and the Government Digital Service, which is leading digital transformation in the UK government. Data training available to all civil servants will also be reviewed, the strategy said, with a view to “enhance and extend” the current offering. ‘Allow the power of data to be unlocked’ The National Digital Strategy is led by Gaia Marcus of the UK’s Department for Digital, Culture, Media and Sport, who previously served as the data strategy lead for charity organisation Parkinson’s UK. Writing about the strategy last year, Marcus said: “As government, we have to take a step back and think more broadly in terms of wider public need and what needs to be done to allow the power of data to be unlocked for all elements of society and the economy. “Through the National Data Strategy process, we will need to reflect on what we mean by certain things, to contribute towards creating a ‘common language’ that will help engage as many people as possible so that any strategy is addressing the needs of society. One easy way to start encouraging people to engage with this topic is to make the language that surrounds it more accessible and easy to understand.” Tweet Share Email Share More Share Pin This Reddit Related: government & policy, skills, data science, data, UK By Lisa Ardill Lisa joined the team as senior Careers reporter in July 2019 with previous experience in science communication and media. With a BA in neuroscience and a master’s degree in science communication, she is also a semi-published poet and a big fan of doggos. Make sure you never miss an opportunity Get our weekly newsletter for award-winning news, features and advice on sci-tech careers Sign Up Thanks for signing up! More from careers ‘The job we are hired to do today will either disappear or be transformed’ 6 skills you’ll need as a graduate entering the job market Belfast ranks strongly against UK cities for tech jobs and workforce 7 skills worth learning during back-to-school September Loading Read More X Never miss an opportunity Our sci-tech careers newsletter will bring insights from our experts direct to your inbox every week Signing you up - one moment please! Sign Up Loading now, one moment please! Home About Contact Advertise Subscribe Privacy Policy All content copyright 2002-2020 Silicon Republic Knowledge & Events Management Ltd. Reproduction without explicit permission is prohibited. All rights reserved. Designed by Zero-G and Square1.io Silicon Republic Cookies Policy Our Website uses cookies to improve your experience. Please visit our Privacy Policy page for more information about cookies and how we use them. Sounds good! Tell me more
UK plans to train 500 public-sector employees in data science
UK plans train 500 publicsector employees data science Home Business Companies Enterprise Comms Startups All Discovery Innovation Machines Earth Science All Careers Advice People Employers Jobs All Video All More Advertise About BUSINESSDISCOVERYCAREERSVIDEOMORE Tweet Share Email COMPANIESENTERPRISECOMMSSTARTUPSALL Uber creates 800m fund help drivers transition EVs 2025 Slack fails reap Zoomlike revenue boost remote working spike Xbox confirms price new Series S console Google cancels plans new office Dublin Businesses realising need prioritise digital transformation ElectroRoute closes trading deal 200MW energy storage sites Offaly CyberSafeIreland warns worrying trends kids gaming online Irish regulator orders Facebook overhaul EUUS data transfers Cybercrime Ireland double global average record levels fraud Ransomware attack targets cybersecurity company Cygilant How Covid19 shifted network traffic loads telecoms behaviour In digital transformation, workloads shift fully cloud How rural areas digital divide exposed Covid19 What happened Google Facebooks subsea cable plans? Eir fibre broadband network reaches 2m premises Virgin Media switches 1Gbps broadband Irish network Local authorities better national 5G strategy Huawei claims 5G ban bad news UK mobile phone Manna partners Tesco Galway drone delivery pilot Dublins Swyg aims reinvent hiring 1m raise 7 fintech startups pioneering sector Hays calls applicants tech good startup competition Thunes raises 60m crossborder payments platform Irish fintech sector sees record investment pandemic Weekend takeaway: Cosy 10 great scitech reads Moral licensing world design The countdown Irelands scitech extravaganza, Inspirefest 2017 Time running hands Inspirefest early bird tickets Construction begins 500m Limerick Twenty Thirty development Dave, technology power people INNOVATIONMACHINESEARTH SCIENCEALL First Irish winner named prestigious international psychology award AstraZenecaOxford Covid19 vaccine study paused patient illness Social scientists play important role fight Covid Ireland Eight researchers Ireland bag Lero Directors Prizes Enterprise Ireland seeking 25 international researchers industry initiative In culture silence, Aoibhinn N Shillebhins harassment speaks volumes Report reveals future energy demand postCovid world New test site doublesided solar panels unveiled Kilkenny New Irish supercomputing centre launched EU initiative People colour arent empowered changes theyre brought ESB receives 150m loan national smart meter rollout Elon Musks step superhuman cognition revealed pigs brain How people live Earth? Forget climate shift centuries, like decades, climatologists claim WeForest doubles crowdfunding target empower Indian village World awaits birth baby dragons Slovenia Gold platinum discovered southeast Irish streams The bees trouble, A perfect blend: Inspirefest serves stimulating mix STEM humanity Inspirefest snapshot: The prodigy turned empirebuilder girls STEM Vogue 25 celebrates science, social media activism With dreams making space, girl real inspiration Girls4Tech STEM Coolest Projects The Storytellers: 12 women shining spotlight women STEM ADVICEPEOPLEEMPLOYERSJOBSALL The job hired today disappear transformed Microsoft Ireland MD: Empathy important managing remote teams 6 skills youll need graduate entering job market 7 ways practise transparent leadership new era work Remote working tools: Everything need know Asana Watch: Johnson Johnsons crisis management Covid19 Overcoming lack support pursue job gaming Working home: An autistic persons perspective How solutions architect gets difference healthcare How N26s Kelly McConville managed imposter syndrome Why theres new cool thing learn data scientist 16 future work influencers following 6 international companies hiring data right How companies ensure diversity workforce? 6 companies hiring fintech right 7 US companies hiring Ireland right 7 coolest science jobs world Thinking career marketing? An analytical mind helpful Applications open Facebooks Return Work scheme Irish payments startup CleverCards announces 30 new jobs US firm Peak6 announces 160 new jobs Belfast Regeneron add 400 new jobs Limerick pharma base 20 new longterm jobs announced MSD Ballydine Thermo Fisher Scientific hire 36 highlevel jobs Cork UK plans train 500 publicsector employees data science Survey suggests poor broadband hampering working home Could nearshoring help businesses impacted US H1B visa ban? Just 16pc graduates jobs year, survey suggests Netflix staff return offices Covid19 vaccine approved Belfast ranks strongly UK cities tech jobs workforce ALL Why grabbing nettle crucial business Covid19 Join Future Human, major international hybrid tech event How Irish research operate postCovid world? How Enterprise Ireland supporting startups pandemic We work problems worked How businesses thrive postCovid world ADVERTISESUBSCRIBECONTACTABOUTPRIVACY POLICY All Advice People Employers Jobs Careers Image: Andrey PopovStock. UK plans train 500 publicsector employees data science Lisa Ardill 1 hour ago19 Views The UKs National Data Strategy aims build worldleading data economy cultivate workforce necessary skills. The UK government said train hundreds people employed public sector data science year. It comes countrys National Data Strategy, promises transform UK worldleading data economy. Core elements strategy aim build trust data ecosystem data skills access. The strategy plan states todays digital economy, companies use data effectively competitive dataliterate people market advantage. However, goes UK limited pool dataskilled individuals, particularly cost hiring retaining right qualifications. In response, government work creating institutionalised data culture, data seen everyones job. Senior leadership effective governance key establishing data culture government, everyone, regardless seniority profession, data priority role, strategy document says. Hiring Now Improve business performance data insights Careers innovators Your mean breakthrough Welcome whats Measures UK government said include prioritising right skills recruiting leaders data digital expertise build strong cadre technical, policy, legal analytical data experts. One ambitious commitments plan train 500 analysts UKs public sector 2021. Training rolled Data Science Campus Office National Statistics, Government Analysis Function networkand Government Digital Service, leading digital transformation UK government. Data training available civil servants reviewed, strategy said, view enhance extend current offering. Allow power data unlocked The National Digital Strategy led Gaia Marcus UKs Department Digital, Culture, Media Sport, previously served data strategy lead charity organisation Parkinsons UK. Writing strategy year, Marcus said: As government, step think broadly terms wider public need needs allow power data unlocked elements society economy. Through National Data Strategy process, need reflect mean certain things, contribute creating common language help engage people possible strategy addressing needs society. One easy way start encouraging people engage topic language surrounds accessible easy understand. Tweet Share Email Share More Share Pin This Reddit Related: government policy, skills, data science, data, UK By Lisa Ardill Lisa joined team senior Careers reporter July 2019 previous experience science communication media. With BA neuroscience masters degree science communication, semipublished poet big fan doggos. Make sure miss opportunity Get weekly newsletter awardwinning news, features advice scitech careers Sign Up Thanks signing More careers The job hired today disappear transformed 6 skills youll need graduate entering job market Belfast ranks strongly UK cities tech jobs workforce 7 skills worth learning backtoschool September Loading Read More X Never miss opportunity Our scitech careers newsletter bring insights experts direct inbox week Signing moment Sign Up Loading now, moment Home About Advertise All content copyright 20022020 Silicon Republic Knowledge Events Management Ltd. Reproduction explicit permission prohibited. . Designed ZeroG Silicon Republic Policy Our Website uses cookies improve experience. Please visit information cookies use them. Sounds good Tell
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https://sciencein.me/2020/04/23/machine-learning-software-market-2020-2026-microsoft-ibm-scikit-learn-google-cloud-tpu-figure-eight/
2020-04-23T00:00:00
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Machine Learning Software Market 2020-2026 | Microsoft, IBM, scikit-learn, Google Cloud TPU, Figure Eight – Science Market Research
Machine Learning Software Market 2020-2026 | Microsoft, IBM, scikit-learn, Google Cloud TPU, Figure Eight – Science Market Research Press "Enter" to skip to content Search Search Science Market Research Our Writers About Us Contact Us Terms and Conditions Privacy Policy Science Market ResearchApril 23, 2020Science, Space, Satellite and Energy Markets open menu Back Applied Sciences Astronomy Earth and Environment Energy Health NASA Space Technology Satellite All News Machine Learning Software Market 2020-2026 | Microsoft, IBM, scikit-learn, Google Cloud TPU, Figure Eight By [email protected] on April 23, 2020 The research report of the global Machine Learning Software market has recently added by The Research Insights to its vast database. Some of the recent advancements in technologies have been elaborated to get up-to-date knowledge of businesses. There is a booming demand for the global Machine Learning Software market in the forecast period. Informative data have been compiled by using primary and secondary research techniques. Different trends, tools, and methodologies have been explained in detail. Machine learning algorithms make predictions or decisions based on data. These learning algorithms can be embedded within applications to provide automated, artificial intelligence (AI) features or be used in an AI platform to build brand new applications. In both cases, a connection to a data source is necessary for the algorithm to learn and adapt over time. Request a Sample Copy of this Report @: https://www.theresearchinsights.com/request_sample.php?id=29605 Top Key Players: Microsoft, IBM, scikit-learn, Google Cloud TPU, Figure Eight, Amazon Personalize, GoLearn, BigML There are many different types of machine learning algorithms that perform a variety of tasks and functions. These algorithms may consist of more specific machine learning algorithms, such as association rule learning, Bayesian networks, clustering, decision tree learning, genetic algorithms, learning classifier systems, and support vector machines, among others. Regional outlook has been provided by examining several global regions like North America, Latin America, Asia-Pacific, Africa, and Europe to gauge the most demanding countries or commercial areas for investment in the Machine Learning Software market. The competitive landscape has been measured on the basis of inspection of global key players. Ask for Upto 40% Discount: https://www.theresearchinsights.com/ask_for_discount.php?id=29605 Table of Content: Global Machine Learning Software Market Research Report 2020-2026 Chapter 1: Industry Overview Chapter 2: Machine Learning Software Market International and China Market Analysis Chapter 3: Environment Analysis of Market. Chapter 4: Analysis of Revenue by Classifications Chapter 5: Analysis of Revenue by Regions and Applications Chapter 6: Analysis of Machine Learning Software Market Revenue Market Status. Chapter 7: Analysis of Industry Key Manufacturers Chapter 8: Sales Price and Gross Margin Analysis of Market. Chapter 9: ………………Continue To TOC To Get More Information, Enquiry @: https://www.theresearchinsights.com/enquiry_before_buying.php?id=29605   *If you have any special requirements, please let us know and we will provide you the report as you want*   About us The Research Insights – A global leader in analytics, research and advisory that can assist you to renovate your business and modify your approach. With us, you will learn to take decisions intrepidly. We make sense of drawbacks, opportunities, circumstances, estimations and information using our experienced skills and verified methodologies. Our research reports will give you an exceptional experience of innovative solutions and outcomes. We have effectively steered businesses all over the world with our market research reports and are outstandingly positioned to lead digital transformations. Thus, we craft greater value for clients by presenting advanced opportunities in the global market. Contact us Robin Sales manager Contact number: +91-996-067-0000 [email protected] https://www.theresearchinsights.com/ Author Recent Posts [email protected] Latest posts by [email protected] (see all) Cloud High Performance Computing (HPC) Market Report 2020-2026 | IBM Corporation, Dell, Amazon Web Services, Microsoft Corporation, Google - April 23, 2020 Video Games Market Report 2020-2026 Increasing Usage Of Electronic Gadgets Drives The Industry With  2K Games, EA, Vivendi, Nintendo, kashbet, UbiSoft - April 23, 2020 Financial Research Software Market 2020-2026 | Bloomberg Terminal, Thomson Reuters, Sentieo, FactSet, S&P Capital IQ platform - April 23, 2020 Published in All News and Technology [email protected] More from All NewsMore posts in All News »Dog and Cat Dental Spray Market by Top Players, Types, Key Regions, Applications and Forecast to 2024Display Mannequins Market by Top Players, Types, Key Regions, Applications and Forecast to 2024Disinfecting Wipes Market by Top Players, Types, Key Regions, Applications and Forecast to 2024Corporate Gift Market by Top Players, Types, Key Regions, Applications and Forecast to 2024More from TechnologyMore posts in Technology »Semiconductor Equipment Market Size | Status | Top Players | Trends | Forecast to 2025Impressive Trends and Future Scope of Security Software MarketGlobal Scan Pen Market Size, Share, Development, Growth and Demand Forecast to 2025Global Rugged Mobile Hardware Market Industry: A Latest Research Report to Share Market Insights and Dynamics Dog and Cat Dental Spray Market by Top Players, Types, Key Regions, Applications and Forecast to 2024Dog and Cat Dental Spray Market by Top Players, Types, Key Regions, Applications and Forecast to 2024By anitaThe report on Global Dog and Cat Dental Spray Market documents a detailed study of different aspects of the Global Dog and Cat Dental Spray... 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Machine Learning Software Market 2020-2026
Machine Learning Software Market 20202026 Microsoft, IBM, scikitlearn, Google Cloud TPU, Figure Eight Science Market Research Press Enter skip content Science Market Research Our Writers Us Science Market ResearchApril 23, 2020Science, Space, Satellite Energy Markets open menu Back Applied Sciences Astronomy Earth Environment Energy Health NASA Space Technology Satellite All News Machine Learning Software Market 20202026 Microsoft, IBM, scikitlearn, Google Cloud TPU, Figure Eight By [emailprotected] April 23, 2020 The research report global Machine Learning Software market recently added The Research Insights vast database. Some recent advancements technologies elaborated uptodate knowledge businesses. There booming demand global Machine Learning Software market forecast period. Informative data compiled primary secondary research techniques. Different trends, tools, methodologies explained detail. Machine learning algorithms predictions decisions based data. These learning algorithms embedded applications provide automated, artificial intelligence AI features AI platform build brand new applications. In cases, connection data source necessary algorithm learn adapt time. Request Sample Copy Report Top Key Players: Microsoft, IBM, scikitlearn, Google Cloud TPU, Figure Eight, Amazon Personalize, GoLearn, BigML There different types machine learning algorithms perform variety tasks functions. These algorithms consist specific machine learning algorithms, association rule learning, Bayesian networks, clustering, decision tree learning, genetic algorithms, learning classifier systems, support vector machines, others. Regional outlook provided examining global regions like North America, Latin America, AsiaPacific, Africa, Europe gauge demanding countries commercial areas investment Machine Learning Software market. The competitive landscape measured basis inspection global key players. Ask Upto 40 Discount: Table Content: Global Machine Learning Software Market Research Report 20202026 Chapter 1: Industry Overview Chapter 2: Machine Learning Software Market International China Market Analysis Chapter 3: Environment Analysis Market. Chapter 4: Analysis Revenue Classifications Chapter 5: Analysis Revenue Regions Applications Chapter 6: Analysis Machine Learning Software Market Revenue Market Status. Chapter 7: Analysis Industry Key Manufacturers Chapter 8: Sales Price Gross Margin Analysis Market. Chapter 9: Continue To TOC To Get More Information, Enquiry If special requirements, let know provide report want About The Research Insights A global leader analytics, research advisory assist renovate business modify approach. With us, learn decisions intrepidly. We sense drawbacks, opportunities, circumstances, estimations information experienced skills verified methodologies. Our research reports exceptional experience innovative solutions outcomes. We effectively steered businesses world market research reports outstandingly positioned lead digital transformations. Thus, craft greater value clients presenting advanced opportunities global market. Robin Sales manager number: 919960670000 [emailprotected] Author Recent Posts [emailprotected] Latest posts [emailprotected] Cloud High Performance Computing HPC Market Report 20202026 IBM Corporation, Dell, Amazon Web Services, Microsoft Corporation, Google April 23, 2020 Video Games Market Report 20202026 reasing Usage Of Electronic Gadgets Drives The Industry With 2K Games, EA, Vivendi, Nintendo, kashbet, UbiSoft April 23, 2020 Financial Research Software Market 20202026 Bloomberg Terminal, Thomson Reuters, Sentieo, FactSet, SP Capital IQ platform April 23, 2020 Published All News Technology [emailprotected] More All NewsMore posts All News Dog Cat Dental Spray Market Top Players, Types, Key Regions, Applications Forecast 2024Display Mannequins Market Top Players, Types, Key Regions, Applications Forecast 2024Disinfecting Wipes Market Top Players, Types, Key Regions, Applications Forecast 2024Corporate Gift Market Top Players, Types, Key Regions, Applications Forecast 2024More TechnologyMore posts Technology Semiconductor Equipment Market Size Status Top Players Trends Forecast 2025Impressive Trends Future Scope Security Software MarketGlobal Scan Pen Market Size, Share, Development, Growth Demand Forecast 2025Global Rugged Mobile Hardware Market Industry: A Latest Research Report Share Market Insights Dynamics Dog Cat Dental Spray Market Top Players, Types, Key Regions, Applications Forecast 2024Dog Cat Dental Spray Market Top Players, Types, Key Regions, Applications Forecast 2024By anitaThe report Global Dog Cat Dental Spray Market documents detailed study different aspects Global Dog Cat Dental Spray... 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https://stockmarketvista.com/2020/11/09/artificial-intelligence-market-size-top-companies-growth-factors-market-status-and-future-forecasts-to-2027/
2020-11-09T00:00:00
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Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status and Future Forecasts to 2027 - Stock Market Vista
Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status and Future Forecasts to 2027 - Stock Market Vista Skip to the content Search Stock Market Vista Menu Search Search for: Close search Close Menu Categories News Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status and Future Forecasts to 2027 Post author By Sofia Miller Post date November 9, 2020 No Comments on Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status and Future Forecasts to 2027 The Global Artificial Intelligence Market is one of the most promising market segments in the past decade. With the inclusion of world-class technology, many businesses have added new features into their framework. This has helped them in pushing beyond the local market into global level industries. Even with the ongoing pandemic, many enterprises have reported profits in the Global Artificial Intelligence Artificial Intelligence Market was valued at USD 38.9 Million in 2019 and is projected to reach USD 278.95 Million by 2027, growing at a CAGR of 35.0% from 2020 to 2027. Get a sample of the report @ https://www.verifiedmarketresearch.com/download-sample/?rid=3162 This year has been very rough for majority of the industries yet the Global Artificial Intelligence Market got out with remarkable figures in terms of profit and customer generation. As the Global Artificial Intelligence market changed the way of operating, it was able to cope up with the changing market trends. The Global Artificial Intelligence Market report covers all the factors that have shaped the industry till now and the indicators that will carve the industry in the upcoming decade (2020-2027). Moreover, the ‘new normal’ way of working is to carry out daily tasks virtually. The companies that aligned their businesses with the new normal were able thrive during the previous quarter. Global Artificial Intelligence market has always been a rewarding sector for those enterprises who have focussed on the importance of stakeholders. The external factors such as political and legal also drive the market-either pushing them upwards or pulling them down entirely. The report is designed by a dedicated team of professional who have also covered the actionable recommendations that can be followed by the organizations to form a business plan, This plan acts as a blueprint for entering into an entirely new market. The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include: Alphabet (Google) Apple Baidu IBM IPsoft Microsoft Corporation MicroStrategy NVIDIA Qlik Technologies and Verint Systems(Next IT Corp) The study provides a detailed analysis of the market with respect to historical data, futuristic outlook of the market size and volume along with regulatory framework and development trends. The report further explores the market trends and demands in the major geographical regions of the global Artificial Intelligence market along with a detailed analysis of the segments and sub-segments of the market. Artificial Intelligence Market, By Technology Machine learning Natural language processing (NLP) Image processing Speech recognition Artificial Intelligence Market, By End-User Industry Healthcare Manufacturing Agriculture BFSI Media & advertising Automotive & transportation Healthcare Others Request a discount on the report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=3162 A regional outlook containing market size, volume, share, volume, and cost analysis is offered in the report. Moreover, an in-depth analysis of the import/export, production and consumption ratio, gross profit, revenue generation, cost analysis, and other key data pertaining to the competitive landscape is offered in the report. Radical information covered in the report: Regulatory framework of the industry and government policies of the industry Cost analysis, manufacturing and production analysis, and revenue estimations Micro- and macro-economic factors affecting the growth of the industry Regional outlook with analysis of key segments of the market The report offers: An extensive overview of the Artificial Intelligence industry and its workings Analysis of the market dynamics including drivers, constraints, challenges, threats, and opportunities of growth in the Artificial Intelligence industry Current and emerging market trends observed at each key geographical region in the Artificial Intelligence industry A thorough forecast estimation of the growth and size of the market Detailed coverage of research and development of the Artificial Intelligence sector and study of the demands and application exploration of the products offered in the sector Thorough and detailed analysis of the competitors and their product portfolio To read more about the report, visit @ https://www.verifiedmarketresearch.com/product/global-artificial-intelligence-market-size-and-forecast-to-2025/ Key Questions Answered by the Report: – Which market segment or sub-segment is expected to grow at the highest CAGR during the forecast timeline? – What is the forecast valuation of the Artificial Intelligence market? – Who are the leading players in the industry? What are the weaknesses and strengths of these players? – What are the strategic business steps and initiatives taken by the key competitors in the industry? – What region is expected to dominate the market in the forecast period? Thank you for reading our report. For further queries and customization inquires, please get in touch with us. Our team will ensure the report is customized to meet your requirements. Buy now complete report here @ https://www.verifiedmarketresearch.com/select-licence/?rid=3162 About us: Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ customers. Verified Market Research provides advanced analytical research solutions while offering information enriched research studies. We offer insight into strategic and growth analyses, Data necessary to achieve corporate goals, and critical revenue decisions. Our 250 Analysts and SME’s offer a high level of expertise in data collection and governance use industrial techniques to collect and analyze data on more than 15,000 high impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research. Contact us: Mr. Edwyne Fernandes US: +1 (650)-781-4080UK: +44 (203)-411-9686APAC: +91 (902)-863-5784US Toll-Free: +1 (800)-782—1768 Email: [email protected] ← AI in Agriculture Market 2020 Manufacturer Analysis, Emerging Trends, Top Companies and Forecast to 2027 → Augmented Reality in Retail Market Trends, Top Manufactures, Automated Filling Machines Market Demands, Industry Growth Analysis & Forecast 2027 Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Search for: Recent Posts Intent Based Networking Market May See A Big Move | Cisco Systems Inc., Juniper Networks Inc., Huawei Technologies Co. Ltd, Pluribus Networks, A10 Networks, FireMon LLC, Cerium Networks, Veriflow Systems, Fortinet Inc., Indeni Ltd., Forward Networks Inc., Anuta Networks, Apstra Inc. Intelligent Virtual Assistant Market May Set New Growth Story | Microsoft, Nuance, Samsung Electronics, Alphabet, Apple, Amazon, IBM, Baidu, Blackberry, Inbenta Technologies, Facebook, Cognitive Code, Artificial Solutions, Unified Computer Intelligence, Mycroft Ai Intelligent Transportation Systems (ITS) Market Booming Demand Leading To Exponential CAGR Growth By 2026 | DataIntelo Intelligent Transportation System (ITS) Market 2020 Determined By Manufacturing Summary, Business Profile And Estimate To 2026 Intelligent Transport Systems (ITS) Market Entry Strategies, Countermeasures, Economic Impact And Quantum Sensors Marketing Channels To 2027 | Thales, Siemens, Garmin, Kapsch Trafficcom, Tomtom, Cubic, Q-Free, Efkon, Flir Systems, Denso, Geotoll, Electricfeel, Doublemap, Bestmile, Nutonomy Recent CommentsArchives November 2020 October 2020 September 2020 March 2020 Categories Bollywood News Business Categories Headlines Healthcare Lifestyle News Technology Meta Log in Entries feed Comments feed WordPress.org E-mail: [email protected] © 2020 Stock Market Vista Powered by WordPress To the top ↑ Up ↑
Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status and Future Forecasts to 2027
Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status Future Forecasts 2027 Stock Market Vista Skip content Stock Market Vista Menu for: Close search Close Menu Categories News Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status Future Forecasts 2027 Post author By Sofia Miller Post date November 9, 2020 No Comments Artificial Intelligence Market Size, Top Companies, Growth Factors, Market Status Future Forecasts 2027 The Global Artificial Intelligence Market promising market segments past decade. With inclusion worldclass technology, businesses added new features framework. This helped pushing local market global level industries. Even ongoing pandemic, enterprises reported profits Global Artificial Intelligence Artificial Intelligence Market valued USD 38.9 Million 2019 projected reach USD 278.95 Million 2027, growing CAGR 35.0 2020 2027. Get sample report @ This year rough majority industries Global Artificial Intelligence Market got remarkable figures terms profit customer generation. As Global Artificial Intelligence market changed way operating, able cope changing market trends. The Global Artificial Intelligence Market report covers factors shaped industry till indicators carve industry upcoming decade 20202027. Moreover, new normal way working carry daily tasks virtually. The companies aligned businesses new normal able thrive previous quarter. Global Artificial Intelligence market rewarding sector enterprises focussed importance stakeholders. The external factors political legal drive marketeither pushing upwards pulling entirely. The report designed dedicated team professional covered actionable recommendations followed organizations form business plan, This plan acts blueprint entering entirely new market. The report covers extensive analysis key market players market, business overview, expansion plans, strategies. The key players studied report include: Alphabet Google Apple Baidu IBM IPsoft Microsoft Corporation MicroStrategy NVIDIA Qlik Technologies Verint SystemsNext IT Corp The study provides detailed analysis market respect historical data, futuristic outlook market size volume regulatory framework development trends. The report explores market trends demands major geographical regions global Artificial Intelligence market detailed analysis segments subsegments market. Artificial Intelligence Market, By Technology Machine learning Natural language processing NLP Image processing Speech recognition Artificial Intelligence Market, By EndUser Industry Healthcare Manufacturing Agriculture BFSI Media advertising Automotive transportation Healthcare Others Request discount report @ A regional outlook containing market size, volume, share, volume, cost analysis offered report. Moreover, indepth analysis importexport, production consumption ratio, gross profit, revenue generation, cost analysis, key data pertaining competitive landscape offered report. Radical information covered report: Regulatory framework industry government policies industry Cost analysis, manufacturing production analysis, revenue estimations Micro macroeconomic factors affecting growth industry Regional outlook analysis key segments market The report offers: An extensive overview Artificial Intelligence industry workings Analysis market dynamics including drivers, constraints, challenges, threats, opportunities growth Artificial Intelligence industry Current emerging market trends observed key geographical region Artificial Intelligence industry A thorough forecast estimation growth size market Detailed coverage research development Artificial Intelligence sector study demands application exploration products offered sector Thorough detailed analysis competitors product portfolio To read report, visit @ Key Questions Answered Report: Which market segment subsegment expected grow highest CAGR forecast timeline? What forecast valuation Artificial Intelligence market? Who leading players industry? What weaknesses strengths players? What strategic business steps initiatives taken key competitors industry? What region expected dominate market forecast period? Thank reading report. For queries customization inquires, touch us. Our team ensure report customized meet requirements. Buy complete report @ About us: Verified Market Research leading Global Research Consulting firm servicing 5000 customers. Verified Market Research provides advanced analytical research solutions offering information enriched research studies. We offer insight strategic growth analyses, Data necessary achieve corporate goals, critical revenue decisions. Our 250 Analysts SMEs offer high level expertise data collection governance use industrial techniques collect analyze data 15,000 high impact niche markets. Our analysts trained combine modern data collection techniques, superior research methodology, expertise, years collective experience produce informative accurate research. us: Mr. Edwyne Fernandes US: 1 6507814080UK: 44 2034119686APAC: 91 9028635784US TollFree: 1 8007821768 Email: sales AI Agriculture Market 2020 Manufacturer Analysis, Emerging Trends, Top Companies Forecast 2027 Augmented Reality Retail Market Trends, Top Manufactures, Automated Filling Machines Market Demands, Industry Growth Analysis Forecast 2027 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. for: Recent Posts Intent Based Networking Market May See A Big Move Cisco Systems ., Juniper Networks ., Huawei Technologies Co. Ltd, Pluribus Networks, A10 Networks, FireMon LLC, Cerium Networks, Veriflow Systems, Fortinet ., Indeni Ltd., Forward Networks ., Anuta Networks, Apstra . Intelligent Virtual Assistant Market May Set New Growth Story Microsoft, Nuance, Samsung Electronics, Alphabet, Apple, Amazon, IBM, Baidu, Blackberry, Inbenta Technologies, Facebook, Cognitive Code, Artificial Solutions, Unified Computer Intelligence, Mycroft Ai Intelligent Transportation Systems ITS Market Booming Demand Leading To Exponential CAGR Growth By 2026 DataIntelo Intelligent Transportation System ITS Market 2020 Determined By Manufacturing Summary, Business Profile And Estimate To 2026 Intelligent Transport Systems ITS Market Entry Strategies, Countermeasures, Economic Impact And Quantum Sensors Marketing Channels To 2027 Thales, Siemens, Garmin, Kapsch Trafficcom, Tomtom, Cubic, QFree, Efkon, Flir Systems, Denso, Geotoll, Electricfeel, Doublemap, Bestmile, Nutonomy Recent CommentsArchives November 2020 October 2020 September 2020 March 2020 Categories Bollywood News Business Categories Headlines Healthcare Lifestyle News Technology Meta Log Entries feed Comments feed Email: pr 2020 Stock Market Vista Powered WordPress To Up
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"report", "designed", "dedicated", "team", "professional", "covered", "actionable", "recommendations", "followed", "organizations", "form", "business", "plan", "plan", "acts", "blueprint", "entering", "entirely", "new", "market", "report", "covers", "extensive", "analysis", "key", "market", "players", "market", "business", "overview", "expansion", "plans", "strategies", "key", "players", "studied", "report", "include", "alphabet", "google", "apple", "baidu", "ibm", "ipsoft", "microsoft", "corporation", "microstrategy", "nvidia", "qlik", "technologies", "verint", "systemsnext", "corp", "study", "provides", "detailed", "analysis", "market", "respect", "historical", "data", "futuristic", "outlook", "market", "size", "volume", "regulatory", "framework", "development", "trends", "report", "explores", "market", "trends", "demands", "major", "geographical", "regions", "global", "artificial", "intelligence", "market", "detailed", "analysis", "segments", "subsegments", "market", "artificial", 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"data", "high", "impact", "niche", "markets", "analysts", "trained", "combine", "modern", "data", "collection", "techniques", "superior", "research", "methodology", "expertise", "years", "collective", "experience", "produce", "informative", "accurate", "research", "mr", "edwyne", "fernandes", "uk", "apac", "tollfree", "email", "sales", "ai", "agriculture", "market", "manufacturer", "analysis", "emerging", "trends", "companies", "forecast", "augmented", "reality", "retail", "market", "trends", "manufactures", "automated", "filling", "machines", "market", "demands", "industry", "growth", "analysis", "forecast", "leave", "reply", "cancel", "replyyour", "email", "address", "published", "required", "fields", "marked", "comment", "email", "website", "save", "email", "website", "browser", "time", "comment", "recent", "posts", "intent", "based", "networking", "market", "big", "cisco", "systems", "juniper", "networks", "huawei", "technologies", "pluribus", "networks", "networks", "firemon", "llc", "cerium", "networks", "veriflow", "systems", "fortinet", "indeni", "forward", "networks", "anuta", "networks", "apstra", "intelligent", "virtual", "assistant", "market", "set", "new", "growth", "story", "microsoft", "nuance", "samsung", "electronics", "alphabet", "apple", "amazon", "ibm", "baidu", "blackberry", "inbenta", "technologies", "facebook", "cognitive", "code", "artificial", "solutions", "unified", "intelligence", "mycroft", "ai", "intelligent", "transportation", "systems", "market", "booming", "demand", "leading", "exponential", "cagr", "growth", "dataintelo", "intelligent", "transportation", "market", "determined", "manufacturing", "summary", "business", "profile", "estimate", "intelligent", "transport", "systems", "market", "entry", "strategies", "countermeasures", "economic", "impact", "quantum", "sensors", "marketing", "channels", "thales", "siemens", "garmin", "kapsch", "trafficcom", "tomtom", "cubic", "qfree", "efkon", "flir", "systems", "denso", "geotoll", "electricfeel", "doublemap", "bestmile", "nutonomy", "recent", "november", "october", "september", "march", "categories", "bollywood", "news", "business", "categories", "headlines", "healthcare", "lifestyle", "news", "technology", "meta", "log", "entries", "feed", "comments", "feed", "email", "pr", "stock", "market", "vista", "powered", "wordpress" ]
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https://moosegazette.net/%F0%9F%94%A5warning-over-public-sector-ai-discrimination%F0%9F%94%A5/13091/
2020-02-10T00:00:00
en
🔥Warning over public sector AI 'discrimination'🔥 – Moose Gazette
🔥Warning over public sector AI 'discrimination'🔥 – Moose Gazette Skip to content Monday, February 10, 2020 🔥Inmate died after pleas for help were allegedly ignored for days🔥 February 10, 2020 🔥Oklahoma jailhouse video appears to show staff ignoring dying inmate🔥 February 10, 2020 🔥10th Feb: Love for Sale 2 (2019), 1hr 35m [TV-14] (6/10)🔥 February 10, 2020 How Exam Dumps Can Ease Your Way of Passing Microsoft 70-741 Exam? February 10, 2020February 10, 2020 Moose Gazette General News , Sports News and Entertainment News Entertainment News Sports TV Shows About Us Contact Us Search for: 🔥Warning over public sector AI 'discrimination'🔥 News February 10, 2020 John koli0 The latest headlines in your inbox Artificial intelligence being used to deliver public services may discriminate against some people, a watchdog warned today. The Committee on Standards in Public Life, chaired by former MI5 boss Lord Evans, highlighted the risk of “bias” in machines being used by Whitehall. It said data bias was a “serious concern” and called for further work to measure and mitigate “the impact of bias to prevent discrimination via algorithm”. Lord Evans added: “AI and, in particular, machine learning, will transform the way public-sector organisations make decisions and deliver services. “Public-sector organisations are not sufficiently transparent about their use of AI and it is too difficult to find out where machine learning is currently being used in government.” Healthcare and policing currently have the most developed AI programmes, the committee added. But it highlighted concerns that algorithmic tools to screen visa applications risked replicating “historic bias” if officials had previously discriminated against applicants from certain countries. Similarly, job application AI filters could be discriminatory if data inputted by humans had, for example, in the past favoured men over women. “The UK does not need a new AI regulator but regulators must adapt to the challenges that AI poses to their sectors,” added Lord Evans. He also defended the Government’s decision to allow Chinese tech giant Huawei a limited role in Britain’s 5G network, a move which has angered Donald Trump. “It’s right that the UK should take its own decision. The process, from what I can see, has been thought through and that is encouraging,” he said. Post navigation 🔥Off and running: BattleHawks go ‘old school’ with 15-9 victory in XFL debut🔥🔥Backstreet Boys bringing its ‘DNA World Tour’ back to St. Louis🔥 Related Posts 12/1: CBS Evening News February 7, 2020 mariya smith Frontotemporal dementia: Devastating, prevalent and little understood February 2, 2020 mariya smith We Out Here 2020 line-up: Archie Shepp, Floating Points, Ezra Collective and more confirmed February 5, 2020 John koli Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Archives February 2020 January 2020 December 2019 Categories Entertainment Featured News TV Shows Uncategorized moosegazette.net | Theme: news-vibrant by CodeVibrant.
🔥Warning over public sector AI 'discrimination'🔥
Warning public sector AI apos;discriminationapos; Moose Gazette Skip content Monday, February 10, 2020 Inmate died pleas help allegedly ignored days February 10, 2020 Oklahoma jailhouse video appears staff ignoring dying inmate February 10, 2020 10th Feb: Love Sale 2 2019, 1hr 35m [TV14] 610 February 10, 2020 How Exam Dumps Can Ease Your Way Passing Microsoft 70741 Exam? February 10, 2020February 10, 2020 Moose Gazette General News , Sports News Entertainment News Entertainment News Sports TV Shows Us for: Warning public sector AI discrimination News February 10, 2020 John koli0 The latest headlines inbox Artificial intelligence deliver public services discriminate people, watchdog warned today. The Committee Standards Public Life, chaired MI5 boss Lord Evans, highlighted risk bias machines Whitehall. It said data bias concern called work measure mitigate impact bias prevent discrimination algorithm. Lord Evans added: AI and, particular, machine learning, transform way publicsector organisations decisions deliver services. Publicsector organisations sufficiently transparent use AI difficult machine learning currently government. Healthcare policing currently developed AI programmes, committee added. But highlighted concerns algorithmic tools screen visa applications risked replicating historic bias officials previously discriminated applicants certain countries. Similarly, job application AI filters discriminatory data inputted humans had, example, past favoured men women. The UK need new AI regulator regulators adapt challenges AI poses sectors, added Lord Evans. He defended Governments decision allow Chinese tech giant Huawei limited role Britains 5G network, angered Donald Trump. Its right UK decision. The process, I see, thought encouraging, said. Post navigation Off running: BattleHawks old school 159 victory XFL debutBackstreet Boys bringing DNA World Tour St. Louis Related Posts 121: CBS Evening News February 7, 2020 mariya smith Frontotemporal dementia: Devastating, prevalent little understood February 2, 2020 mariya smith We Out Here 2020 lineup: Archie Shepp, Floating Points, Ezra Collective confirmed February 5, 2020 John koli Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Archives February 2020 January 2020 December 2019 Categories Entertainment Featured News TV Shows Uncategorized Theme: newsvibrant CodeVibrant.
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https://germanyenglishnews.com/german-news/2020/04/12/healthcare-ai-market-growth-analysis-top-manufacturers-shares-growth-opportunities-and-forecast-to-2026/
2020-04-12T00:00:00
en
Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 – Germany English News
Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 – Germany English News Skip to content Sunday, April 12, 2020 Home About Us Contact Us Our Journalists Privacy Policy Terms and Conditions Germany English News Space, Satellite & Market Reports German News News Space Satellites Crypto Technology Electric Market Report Contact Us You are hereHomeGerman News2020April12Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 April 12, 2020April 12, 2020 Market Research Intellect #Healthcare AI market growth, Healthcare AI Market Analysis, Healthcare AI Market Forecast, Healthcare AI Market Size, Healthcare AI Market Trends New Jersey, United States: The new report has been added by Market Research Intellect to provide a detailed overview of the Healthcare AI Market. The study will help to better understand the Healthcare AI industry competitors, the sales channel, Healthcare AI growth potential, potentially disruptive trends, Healthcare AI industry product innovations and the value / volume of size market (regional / national level, Healthcare AI- Industrial segments), market share of the best actors / products. Information has been added to the report to provide a realistic view of the industry based on data from Healthcare AI manufacturers, i.e. H. Shipping, price, sales, gross profit, business distribution, etc., SWOT analysis, consumer preference, current developments and trends, drivers and limiting factors, company profile, investment opportunities, analysis of the demand gap, market size value / volume, services and products, Porter’s five models , socio-economic factors, official regulations in the Healthcare AI branch. Market participants can use the report to take a look at the future of the Healthcare AI market and make significant changes to their operating style and marketing tactics in order to achieve sustainable growth. Get | Download Sample Copy @ https://www.marketresearchintellect.com/download-sample/?rid=210263&utm_source=GEN&utm_medium=888 The report examines the competitive environment scenario observed with key players in Healthcare AI sales, the profile of their business, their earnings, their sales, their business tactics, and the forecasting situations of the Healthcare AI sales industry. According to studies, the Healthcare AI sales market is very competitive and diverse due to global and local suppliers. The Healthcare AI Sales Market Report mainly contains the following Manufacturers: Apple GE Healthcare Google Deepmind Health IBM Watson Health Imagen Technologies Microsoft Intel Medalogix Lumiata NextHealth Technologies Wellframe Zebra Medical Vision Qventus Sentrian Health Fidelity Market Competition The competitive landscape of the Healthcare AI market is examined in detail in the report, with a focus on the latest developments, the future plans of the main players and the most important growth strategies that they have adopted. The analysts who compiled the report have created a portrait of almost all of the major players in the Healthcare AI market, highlighting their key commercial aspects such as production, areas of activity and product portfolio. All companies analyzed in the report are examined on the basis of important factors such as market share, market growth, company size, production, sales and earnings. Report Highlights – Assessment of sales channels – innovation trends – sustainability strategies – Niche market trends – Market entry analysis – market size and forecast The geographic department provides data that give you an overview of the turnover of companies and sales figures for the growth activity Healthcare AI for electrical meters. Here are the strengths of the geographic divisions: North America (United States, Canada and Mexico), Europe (Germany, Spain, France, Great Britain, Russia and Italy and more), Asia-Pacific (China, Japan, Korea, India and Southeast Asia) and more ), South America (Brazil, Argentina, Colombia), the Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa) and ROW. Ask For Discount (Special Offer: Get 25% discount on this report) @ https://www.marketresearchintellect.com/ask-for-discount/?rid=210263&utm_source=GEN&utm_medium=888 Table of Content 1 Introduction of Healthcare AI Market1.1 Overview of the Market1.2 Scope of Report1.3 Assumptions 2 Executive Summary 3 Research Methodology 3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List of Data Sources 4 Healthcare AI Market Outlook4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis 5 Healthcare AI Market, By Deployment Model5.1 Overview 6 Healthcare AI Market, By Solution6.1 Overview 7 Healthcare AI Market, By Vertical7.1 Overview 8 Healthcare AI Market, By Geography8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest of Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest of Asia Pacific8.5 Rest of the World8.5.1 Latin America8.5.2 Middle East 9 Healthcare AI Market Competitive Landscape9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies 10 Company Profiles10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments 11 Appendix11.1 Related Research Complete Report is Available @ https://www.marketresearchintellect.com/product/healthcare-ai-market-size-and-forecast/?utm_source=GEN&utm_medium=888 We also offer customization on reports based on specific client requirement: 1- Free country level analysis for any 5 countries of your choice. 2- Free Competitive analysis of any market players. 3- Free 40 analyst hours to cover any other data points About Us: Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage and more. These reports deliver an in-depth study of the market with industry analysis, market value for regions and countries and trends that are pertinent to the industry. Contact Us: Mr. Steven FernandesMarket Research IntellectNew Jersey ( USA )Tel: +1-650-781-4080 Email: [email protected] Get Our Trending Report https://www.marketresearchblogs.com/ https://www.marktforschungsblogs.com/ Tags: Healthcare AI Market Size, Healthcare AI Market Growth, Healthcare AI Market Forecast, Healthcare AI Market Analysis, Healthcare AI Market Trends, Healthcare AI Market Post navigation IT Spending in Healthcare Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026Healthcare Lab Informatics Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 Related posts Nd-Fe-B Magnet Market Projected to Experience Major Revenue Boost During the Period Between 2019-2026 April 12, 2020 [email protected]China Nd-Fe-B Magnet Market Trend, Europe Nd-Fe-B Magnet Market Growth, Nd-Fe-B Magnet, Nd-Fe-B Magnet Industry, Nd-Fe-B Magnet Market, Nd-Fe-B Magnet Market Intelligence, UK Nd-Fe-B Magnet Mar In 2029, the Nd-Fe-B Magnet market is spectated to surpass ~US$ xx Mn/Bn with a CAGR... Excellent Growth of Science Magazine Market 2020-2026 – Financial Revenue and Growth Rate April 12, 2020 [email protected]China Science Magazine Market Trend, Europe Science Magazine Market Growth, Science Magazine, Science Magazine Industry, Science Magazine Market, Science Magazine Market Intelligence, UK Science The global Science Magazine market study covers the projection size of the market both in terms... Methanol Market : Information, Figures and Analytical Insights 2019-2025 April 12, 2020 [email protected]Methanol Industry SWOT An, Methanol Market Definitions and Overview, Methanol Market Dynamics, Methanol Market Indicators, Methanol Market Segmentation and Scope, Methanol Market Trends Analysis A thorough study of the competitive landscape of the global Methanol Market has been given, presenting... Recent Posts Incubator Market : Growth, Demand Analysis, Size, Global Industry Research Trends, Manufacturers, Developments in Performances 2186 Excellent Growth of Science Magazine Market 2020-2026 – Financial Revenue and Growth Rate Nd-Fe-B Magnet Market Projected to Experience Major Revenue Boost During the Period Between 2019-2026 Methanol Market : Information, Figures and Analytical Insights 2019-2025 Raltegravir Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026 © All Right Reserved Proudly powered by WordPress | Theme: SuperNews by Acme Themes
Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities and Forecast to 2026
Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 Germany English News Skip content Sunday, April 12, 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 News2020April12Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 Healthcare AI Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 April 12, 2020April 12, 2020 Market Research Intellect Healthcare AI market growth, Healthcare AI Market Analysis, Healthcare AI Market Forecast, Healthcare AI Market Size, Healthcare AI Market Trends New Jersey, United States:The new report added Market Research Intellect provide detailed overview Healthcare AI Market. The study help better understand Healthcare AI industry competitors, sales channel, Healthcare AI growth potential, potentially disruptive trends, Healthcare AI industry product innovations value volume size market regional national level, Healthcare AI Industrial segments, market share best actors products. Information added report provide realistic view industry based data Healthcare AI manufacturers, i.e. H. Shipping, price, sales, gross profit, business distribution, etc., SWOT analysis, consumer preference, current developments trends, drivers limiting factors, company profile, investment opportunities, analysis demand gap, market size value volume, services products, Porters models , socioeconomic factors, official regulations Healthcare AI branch. Market participants use report look future Healthcare AI market significant changes operating style marketing tactics order achieve sustainable growth. Get Download Sample Copy @ The report examines competitive environment scenario observed key players Healthcare AI sales, profile business, earnings, sales, business tactics, forecasting situations Healthcare AI sales industry. According studies, Healthcare AI sales market competitive diverse global local suppliers. The Healthcare AI Sales Market Report mainly contains following Manufacturers: Apple GE Healthcare Google Deepmind Health IBM Watson Health Imagen Technologies Microsoft Intel Medalogix Lumiata NextHealth Technologies Wellframe Zebra Medical Vision Qventus Sentrian Health Fidelity Market Competition The competitive landscape Healthcare AI market examined report, focus latest developments, future plans main players important growth strategies adopted. The analysts compiled report created portrait major players Healthcare AI market, highlighting key commercial aspects production, areas activity product portfolio. All companies analyzed report examined basis important factors market share, market growth, company size, production, sales earnings. Report Highlights Assessment sales channels innovation trends sustainability strategies Niche market trends Market entry analysis market size forecast The geographic department provides data overview turnover companies sales figures growth activity Healthcare AI electrical meters. Here strengths geographic divisions: North America United States, Canada Mexico, Europe Germany, Spain, France, Great Britain, Russia Italy more, AsiaPacific China, Japan, Korea, India Southeast Asia , South America Brazil, Argentina, Colombia, Middle East Africa Saudi Arabia, United Arab Emirates, Egypt, Nigeria South Africa ROW. Ask For Discount Special Offer: Get 25 discount report @ Table Content 1 Introduction Healthcare AI Market1.1 Overview Market1.2 Scope Report1.3 Assumptions 2 Executive Summary 3 Research Methodology3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List Data Sources 4 Healthcare AI Market Outlook4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis 5 Healthcare AI Market, By Deployment Model5.1 Overview 6 Healthcare AI Market, By Solution6.1 Overview 7 Healthcare AI Market, By Vertical7.1 Overview 8 Healthcare AI Market, By Geography8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest Asia Pacific8.5 Rest World8.5.1 Latin America8.5.2 Middle East 9 Healthcare AI Market Competitive Landscape9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies 10 Company Profiles10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments 11 Appendix11.1 Related Research Complete Report Available @ We offer customization reports based specific client requirement: 1Freecountry level analysis forany 5 countriesof choice. 2FreeCompetitive analysis market players. 3Free 40 analyst hoursto cover data points : Market Research Intellect provides syndicated customized research reports clients industries organizations aim delivering functional expertise. We provide reports industries including Energy, Technology, Manufacturing Construction, Chemicals Materials, Food Beverage more. These reports deliver indepth study market industry analysis, market value regions countries trends pertinent industry. Us: Mr. Steven FernandesMarket Research IntellectNew Jersey USA Tel: 16507814080 Email: [emailprotected] Get Our Trending Report Tags: Healthcare AI Market Size, Healthcare AI Market Growth, Healthcare AI Market Forecast, Healthcare AI Market Analysis, Healthcare AI Market Trends, Healthcare AI Market Post navigation IT Spending Healthcare Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026Healthcare Lab Informatics Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 Related posts NdFeB Magnet Market Projected Experience Major Revenue Boost During Period Between 20192026 April 12, 2020 [emailprotected]China NdFeB Magnet Market Trend, Europe NdFeB Magnet Market Growth, NdFeB Magnet, NdFeB Magnet Industry, NdFeB Magnet Market, NdFeB Magnet Market Intelligence, UK NdFeB Magnet Mar In 2029, NdFeB Magnet market spectated surpass US xx MnBn CAGR... Excellent Growth Science Magazine Market 20202026 Financial Revenue Growth Rate April 12, 2020 [emailprotected]China Science Magazine Market Trend, Europe Science Magazine Market Growth, Science Magazine, Science Magazine Industry, Science Magazine Market, Science Magazine Market Intelligence, UK Science The global Science Magazine market study covers projection size market terms... Methanol Market : Information, Figures Analytical Insights 20192025 April 12, 2020 [emailprotected]Methanol Industry SWOT An, Methanol Market Definitions Overview, Methanol Market Dynamics, Methanol Market Indicators, Methanol Market Segmentation Scope, Methanol Market Trends Analysis A thorough study competitive landscape global Methanol Market given, presenting... Recent Posts ubator Market : Growth, Demand Analysis, Size, Global Industry Research Trends, Manufacturers, Developments Performances 2186 Excellent Growth Science Magazine Market 20202026 Financial Revenue Growth Rate NdFeB Magnet Market Projected Experience Major Revenue Boost During Period Between 20192026 Methanol Market : Information, Figures Analytical Insights 20192025 Raltegravir Market Growth Analysis, Top Manufacturers, Shares, Growth Opportunities Forecast 2026 All Right Reserved Proudly powered WordPress Theme: SuperNews Acme Themes
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https://venturebeat.com/2020/10/22/microsoft-and-mitre-release-framework-to-help-fend-off-adversarial-ai-attacks/
2020-10-22T00:00:00
en
Microsoft and MITRE release framework to help fend off adversarial AI attacks | VentureBeat
Microsoft and MITRE release framework to help fend off adversarial AI attacks | VentureBeat VentureBeat Homepage The Machine GamesBeat Jobs Special Issue Become a Member Sign In Log Out VentureBeat Homepage The Machine Making sense of AI VentureBeat AR/VR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got a news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Contact Privacy Policy × Join the VentureBeat Community Share Share on Facebook Share on Twitter Share on LinkedIn Profile Log Out VentureBeat Homepage Social Links Newsletters Events Profile Microsoft and MITRE release framework to help fend off adversarial AI attacks Kyle Wiggers@Kyle_L_Wiggers October 22, 2020 10:20 AM AI Share on Facebook Share on Twitter Share on LinkedIn MicrosoftImage Credit: Khari Johnson / VentureBeat The audio problem Learn how new cloud-based API solutions are solving imperfect, frustrating audio in video conferences. Access here Microsoft, the nonprofit MITRE Corporation, and 11 organizations including IBM, Nvidia, Airbus, and Bosch today released the Adversarial ML Threat Matrix, an industry-focused open framework designed to help security analysts to detect, respond to, and remediate threats against machine learning systems. Microsoft says it worked with MITRE to build a schema that organizes the approaches employed by malicious actors in subverting machine learning models, toward the goal of bolstering monitoring strategies around organizations’ mission-critical systems. According to a Gartner report, through 2022, 30% of all AI cyberattacks will leverage training-data poisoning, model theft, or adversarial samples to attack machine learning-powered systems. Despite these reasons to secure systems, Microsoft claims its internal studies find most industry practitioners have yet to come to terms with adversarial machine learning. Twenty-five out of the 28 businesses responding to the Seattle company’s recent survey indicated they don’t have the right tools in place to secure their machine learning models. The Adversarial ML Threat Matrix — which was modeled after the MITRE ATT&CK Framework — aims to address this with a curated set of vulnerabilities and adversary behaviors that Microsoft and MITRE vetted to be effective against production systems. With input from researchers at the University of Toronto, Cardiff University, and the Software Engineering Institute at Carnegie Mellon University, Microsoft and MITRE created a list of tactics that correspond to broad categories of adversary action. Techniques in the schema fall within one tactic and are illustrated by a series of case studies covering how well-known attacks such as the Microsoft Tay poisoning, the Proofpoint evasion attack, and other attacks could be analyzed using the Threat Matrix. Above: The Adversarial ML Threat Matrix. “The Adversarial Machine Learning Threat Matrix will … help security analysts think holistically. While there’s excellent work happening in the academic community that looks at specific vulnerabilities, it’s important to think about how these things play off one another,” Mikel Rodriguez, who oversees MITRE’s decision science research programs, said in a statement. “Also, by giving a common language or taxonomy of the different vulnerabilities, the threat matrix will spur better communication and collaboration across organizations.” Microsoft and MITRE say they will solicit contributions from the community via GitHub, where the Adversarial ML Threat Matrix is now available. Researchers can submit studies detailing exploits that compromise the confidentiality, integrity, or availability of machine learning systems running on Amazon Web Services, Microsoft Azure, Google Cloud AI, IBM Watson, or embedded in client or edge device. Those who submit research will retain the permission to share and republish their work, Microsoft says. “We think that securing machine learning systems is an infosec problem,” Microsoft Azure engineer Ram Shankar Siva Kumar and CVP Ann Johnson wrote in a blog post. “The goal of the Adversarial ML Threat Matrix is to position attacks on machine learning systems in a framework that security analysts can orient themselves in these new and upcoming threat … It’s aimed at security analysts and the broader security community: the matrix and the case studies are meant to help in strategizing protection and detection; the framework seeds attacks on machine learning systems, so that they can carefully carry out similar exercises in their organizations and validate the monitoring strategies.” The audio problem: Learn how new cloud-based API solutions are solving imperfect, frustrating audio in video conferences. Access here VentureBeat Homepage The Machine Follow us on Facebook Follow us on Twitter Follow us on LinkedIn Follow us on RSS VB Lab Newsletters Events Deals Jobs About Contact Careers Privacy Policy Terms of Service © 2020 VentureBeat. All rights reserved.
Microsoft and MITRE release framework to help fend off adversarial AI attacks
Microsoft MITRE release framework help fend adversarial AI attacks VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Microsoft MITRE release framework help fend adversarial AI attacks Kyle Wiggers October 22, 2020 10:20 AM AI Share Facebook Share Twitter Share LinkedIn MicrosoftImage Credit: Khari Johnson VentureBeat The audio problem Learn new cloudbased API solutions solving imperfect, frustrating audio video conferences. Access Microsoft, nonprofit MITRE Corporation, 11 organizations including IBM, Nvidia, Airbus, Bosch today released Adversarial ML Threat Matrix, industryfocused open framework designed help security analysts detect, respond to, remediate threats machine learning systems. Microsoft says worked MITRE build schema organizes approaches employed malicious actors subverting machine learning models, goal bolstering monitoring strategies organizations missioncritical systems. According Gartner report, 2022, 30 AI cyberattacks leverage trainingdata poisoning, model theft, adversarial samples attack machine learningpowered systems. Despite reasons secure systems, Microsoft claims internal studies industry practitioners come terms adversarial machine learning. Twentyfive 28 businesses responding Seattle companys recent survey indicated dont right tools place secure machine learning models. The Adversarial ML Threat Matrix modeled MITRE ATTCK Framework aims address curated set vulnerabilities adversary behaviors Microsoft MITRE vetted effective production systems. With input researchers University Toronto, Cardiff University, Software Engineering Institute Carnegie Mellon University, Microsoft MITRE created list tactics correspond broad categories adversary action. Techniques schema fall tactic illustrated series case studies covering wellknown attacks Microsoft Tay poisoning, Proofpoint evasion attack, attacks analyzed Threat Matrix. Above: The Adversarial ML Threat Matrix. The Adversarial Machine Learning Threat Matrix help security analysts think holistically. While theres excellent work happening academic community looks specific vulnerabilities, important think things play another, Mikel Rodriguez, oversees MITREs decision science research programs, said statement. Also, giving common language taxonomy different vulnerabilities, threat matrix spur better communication collaboration organizations. Microsoft MITRE solicit contributions community GitHub, Adversarial ML Threat Matrix available. Researchers submit studies detailing exploits compromise confidentiality, integrity, availability machine learning systems running Amazon Web Services, Microsoft Azure, Google Cloud AI, IBM Watson, embedded client edge device. Those submit research retain permission share republish work, Microsoft says. We think securing machine learning systems infosec problem, Microsoft Azure engineer Ram Shankar Siva Kumar CVP Ann Johnson wrote blog post. The goal Adversarial ML Threat Matrix position attacks machine learning systems framework security analysts orient new upcoming threat Its aimed security analysts broader security community: matrix case studies meant help strategizing protection detection; framework seeds attacks machine learning systems, carefully carry similar exercises organizations validate monitoring strategies. The audio problem: Learn new cloudbased API solutions solving imperfect, frustrating audio video conferences. Access VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. .
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https://www.japantimes.co.jp/?post_type=news&p=2847958&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+japantimes+%28The+Japan+Times%3A+All+Stories%29
2020-12-07T00:00:00
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Japan boosts AI funding to match lonely hearts | The Japan Times
Japan boosts AI funding to match lonely hearts | The Japan Times PRINT SUBSCRIBERS | SPECIAL OFFER | Login My Account (FREE ARTICLE) 10 P/CLOUDY TOKYO (11 p.m.) Markets 104.14 ¥/$ (5 p.m.) Login SPECIAL OFFER My Account TODAY'S PRINT EDITION ≫ PRINT SUBSCRIBERS ≫ (FREE ARTICLE) MENU Search News Opinion Life Community Culture Sports City Guide Support Search Search National Asia Pacific Business World Reference Columns Multimedia News National World Business Asia Pacific Reference Columns Multimedia Opinion Editorials Commentary Reader Mail Cartoons Life Travel Digital Food & Drink Environment Style & Design Language Lifestyle People Columns Multimedia Community Voices Issues Our Lives Event listings How-tos Columns Culture Film Music Art Stage Events Festivals Books TV Columns Multimedia Sports Rugby Baseball Soccer Basketball Sumo Figure Skating Tennis More Sports Columns Multimedia City Guide Restaurants Places Support About us Faqs National Japan boosts AI funding to match lonely hearts Sorry, but your browser needs Javascript to use this site. If you're not sure how to activate it, please refer to this site: https://www.enable-javascript.com/ Japan is seeking to boost its flagging birth rate by funding the use of artificial intelligence to help match lonely hearts, an official said Monday. | REUTERS AFP-JIJI SHARE Dec 7, 2020 Japan is seeking to boost its flagging birth rate by funding the use of artificial intelligence to help match lonely hearts, an official said Monday.Although it might not conjure thoughts of romance, AI tech can match a wider and smarter range of potential suitors, the Cabinet official said. Prime Minister Yoshihide Suga’s government plans to allocate ¥2 billion ($19 million) in the next fiscal year to back local authorities that run programs to help their residents find love, he said.Around half of the nation’s 47 prefectures offer matchmaking services and some of them have already introduced AI systems, according to the Cabinet Office.The human-run matchmaking services often use standardized forms to list people’s interests and hobbies, and AI systems can perform more advanced analysis of this data.“We are especially planning to offer subsidies to local governments operating or starting up matchmaking projects that use AI,” the official said.“We hope this support will help reverse the decline in the nation’s birth rate.”Japan’s fertility rate — the number of children a woman is expected to have in her lifetime — was 1.36 last year, one of the world’s lowest and far below the rate needed to maintain a population.Its rapidly aging population, also a result of long life expectancy, poses a major headache for Japanese policymakers trying to ensure a shrinking workforce can pay for the ballooning cost of welfare. In a time of both misinformation and too much information, quality journalism is more crucial than ever.By subscribing, you can help us get the story right. SUBSCRIBE NOW PHOTO GALLERY (CLICK TO ENLARGE) KEYWORDS children, computers, marriage, AI WHAT’S TRENDING EDITORS’ PICKS 'Demon Slayer' now Japan's second-highest grossing film ever 'Demon Slayer' economic impact estimated at ¥270 billion How a mother's comment gave a Japanese intern an idea worth billions Tokyo reports record 584 new COVID-19 cases Saturday COVID-19 news updates Michelin recognizes sustainability in 2021 Tokyo guide announcement Imagine: John Lennon shot on his doorstep 40 years ago China's coronavirus-free 'Hawaii' chases local tourist dollars with a vengeance U.S. preparing new sanctions on Chinese officials over Hong Kong crackdown Support for Suga's Cabinet plunges 13 points to 50.3% PODCAST DEEP DIVE Episode 75: What will a Joe Biden presidency mean for Japan? LAST UPDATED: Dec 2, 2020 JAPAN NETWORK UPDATES Directory of who’s who in the world of business in Japan LAST UPDATED: Jun 8, 2020 SPECIAL SUPPLEMENTS Sponsored contents planned and edited by JT Media Enterprise Division. 広告出稿に関するおといあわせはこちらまで Read more SUPPLEMENTS BINDER Synergy Media Specialists Global Insight GMI Post World Eye Reports Return to The Japan Times top page JT Digital Archives The Japan Times Alpha Jobs Study in Japan JT for Women JT Bookclub Japanese School Directory SUBSCRIBE NEWSLETTERS ePaper Edition News National World Business Asia Pacific Reference Columns Multimedia Opinion Editorials Commentary Reader Mail Cartoons Life Travel Digital Food & Drink Environment Style & Design Language Lifestyle People Columns Multimedia Community Voices Issues Our Lives Event listings How-tos Columns Culture Film Music Art Stage Events Festivals Books TV Columns Multimedia Sports Rugby Baseball Soccer Basketball Sumo Figure Skating Tennis More Sports Columns Multimedia City Guide Restaurants Places Support About us Faqs About us Contact us Privacy Policy Link Policy Reprints FAQs Support Announcements Press Sitemap Advertise The Japan Times LTD. All rights reserved.
Japan boosts AI funding to match lonely hearts
Japan boosts AI funding match lonely hearts The Japan Times PRINT SUBSCRIBERS SPECIAL OFFER My Account FREE ARTICLE 10 PCLOUDY TOKYO 11 p.m. Markets 104.14 5 p.m. SPECIAL OFFER My Account TODAYS PRINT EDITION PRINT SUBSCRIBERS FREE ARTICLE MENU News Opinion Life Community Culture Sports City Guide Support National Asia Pacific Business World Reference Columns Multimedia News National World Business Asia Pacific Reference Columns Multimedia Opinion Editorials Commentary Reader Mail Cartoons Life Travel Digital Food Drink Environment Style Design Language Lifestyle People Columns Multimedia Community Voices Issues Our Lives Event listings Howtos Columns Culture Film Music Art Stage Events Festivals Books TV Columns Multimedia Sports Rugby Baseball Soccer Basketball Sumo Figure Skating Tennis More Sports Columns Multimedia City Guide Restaurants Places Support About Faqs National Japan boosts AI funding match lonely hearts Sorry, browser needs Javascript use site. If youre sure activate it, refer site: Japan seeking boost flagging birth rate funding use artificial intelligence help match lonely hearts, official said Monday. REUTERS AFPJIJI SHARE Dec 7, 2020 Japan seeking boost flagging birth rate funding use artificial intelligence help match lonely hearts, official said Monday.Although conjure thoughts romance, AI tech match wider smarter range potential suitors, Cabinet official said. Prime Minister Yoshihide Sugas government plans allocate 2 billion 19 million fiscal year local authorities run programs help residents love, said.Around half nations 47 prefectures offer matchmaking services introduced AI systems, according Cabinet Office.The humanrun matchmaking services use standardized forms list peoples interests hobbies, AI systems perform advanced analysis data.We especially planning offer subsidies local governments operating starting matchmaking projects use AI, official said.We hope support help reverse decline nations birth rate.Japans fertility rate number children woman expected lifetime 1.36 year, worlds lowest far rate needed maintain population.Its rapidly aging population, result long life expectancy, poses major headache Japanese policymakers trying ensure shrinking workforce pay ballooning cost welfare. In time misinformation information, quality journalism crucial ever.By subscribing, help story right. SUBSCRIBE NOW PHOTO GALLERY CLICK TO ENLARGE KEYWORDS children, computers, marriage, AI WHATS TRENDING EDITORS PICKS Demon Slayer Japans secondhighest grossing film Demon Slayer economic impact estimated 270 billion How mothers comment gave Japanese intern idea worth billions Tokyo reports record 584 new COVID19 cases Saturday COVID19 news updates Michelin recognizes sustainability 2021 Tokyo guide announcement Imagine: John Lennon shot doorstep 40 years ago Chinas coronavirusfree Hawaii chases local tourist dollars vengeance U.S. preparing new sanctions Chinese officials Hong Kong crackdown Support Sugas Cabinet plunges 13 points 50.3 PODCAST DEEP DIVE Episode 75: What Joe Biden presidency mean Japan? LAST UPDATED: Dec 2, 2020 JAPAN NETWORK UPDATES Directory whos world business Japan LAST UPDATED: Jun 8, 2020 SPECIAL SUPPLEMENTS Sponsored contents planned edited JT Media Enterprise Division. Read SUPPLEMENTS BINDER Synergy Media Specialists Global Insight GMI Post World Eye Reports Return The Japan Times JT Digital Archives The Japan Times Alpha Jobs Study Japan JT Women JT Bookclub Japanese School Directory SUBSCRIBE NEWSLETTERS ePaper Edition News National World Business Asia Pacific Reference Columns Multimedia Opinion Editorials Commentary Reader Mail Cartoons Life Travel Digital Food Drink Environment Style Design Language Lifestyle People Columns Multimedia Community Voices Issues Our Lives Event listings Howtos Columns Culture Film Music Art Stage Events Festivals Books TV Columns Multimedia Sports Rugby Baseball Soccer Basketball Sumo Figure Skating Tennis More Sports Columns Multimedia City Guide Restaurants Places Support About Faqs About Link Policy Reprints FAQs Support Announcements Press Sitemap Advertise The Japan Times LTD. .
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https://videocast.nih.gov/summary.asp?live=35923
2020-02-19T00:00:00
en
NIH VideoCast - Innovative Data Science Methods in Biomedical Research (Day 1)
NIH VideoCast - Innovative Data Science Methods in Biomedical Research (Day 1) Skip Navigation NIH VideoCasting CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable file. CIT can also broadcast NIH-only or HHS-only content. VideoCast Home Past Events Upcoming Events FAQ Contact Us Test Computer Search You will be able to view the event at https://videocast.nih.gov on the day of the event.   Innovative Data Science Methods in Biomedical Research (Day 1) (NIH Only)     Air date: Wednesday, April 8, 2020, 8:00:00 AM Time displayed is Eastern Time, Washington DC Local iCalendar: Add an upcoming event to your calendar. Description: Data science methods, including algorithms and statistical inferences for machine learning (ML) and artificial intelligence (AI), have been increasingly recognized as an important interdisciplinary area for biomedical research. Given the rapid development of new technology and the growing need to analyze massive and complex data, the workshop will especially focus on novel statistical algorithms and their applications in biomedical research. The workshop will bring together a group of leading researchers on statistical ML/AI and biomedical areas to provide and discuss actionable research of ML/AI methodology. The objectives of the workshop are to assess recent developments in statistical ML/AI methods and to identify major challenges and issues of ML/AI in biomedical research. The topics of sessions will cover decision trees, random forest, regularized regression models/AI, targeted learning, and neural networks, and show use cases for healthcare device and image. The data domain areas will include medical imaging, epidemiological cohorts, genetics, etc. The workshop will be an excellent learning opportunity for NIH investigators and program staff to enhance their knowledge of ML/AI and their application in biomedical research. Author: NHLBI and NLM Runtime: 9 hours
NIH VideoCast
NIH VideoCast Innovative Data Science Methods Biomedical Research Day 1 Skip Navigation NIH VideoCasting CIT broadcast seminar, conference meeting live worldwide audience Internet realtime streaming video. The event recorded available viewers watch convenience ondemand video downloadable file. CIT broadcast NIHonly HHSonly content. VideoCast Home Past Events Upcoming Events FAQ Us Test Computer You able view event day event. Innovative Data Science Methods Biomedical Research Day 1 NIH Only Air date: Wednesday, April 8, 2020, 8:00:00 AM Time displayed Eastern Time, Washington DC Local iCalendar: Add upcoming event calendar. Description: Data science methods, including algorithms statistical inferences machine learning ML artificial intelligence AI, increasingly recognized important interdisciplinary area biomedical research. Given rapid development new technology growing need analyze massive complex data, workshop especially focus novel statistical algorithms applications biomedical research. The workshop bring group leading researchers statistical MLAI biomedical areas provide discuss actionable research MLAI methodology. The objectives workshop assess recent developments statistical MLAI methods identify major challenges issues MLAI biomedical research. The topics sessions cover decision trees, random forest, regularized regression modelsAI, targeted learning, neural networks, use cases healthcare device image. The data domain areas include medical imaging, epidemiological cohorts, genetics, etc. The workshop excellent learning opportunity NIH investigators program staff enhance knowledge MLAI application biomedical research. Author: NHLBI NLM Runtime: 9 hours
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https://www.finanznachrichten.de/nachrichten-2020-09/50670203-maru-group-canada-inc-maru-launches-instant-qualitative-platform-bringing-expert-moderation-digital-methodologies-and-cutting-edge-ai-analysis-tool-399.htm
2020-09-10T00:00:00
en
Maru Group Canada Inc.: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies and cutting-edge AI analysis tools into one integrated solution
Maru Group Canada Inc.: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies and cutting-edge AI analysis tools into one integrated solutionAnzeige❌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, 10.09.2020 Börsentäglich über 12.000 News von 644 internationalen MedienErweiterteSucheIm Fokus der Medien! Großer Artikel bringt diesen Penny ins Visier der AnlegerAnzeigeIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Nachrichten»Maru Group Canada Inc.: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies and cutting-edge AI analysis tools into one integrated solutionPush MitteilungenFN als StartseiteGlobeNewswire (Europe)10.09.2020 | 16:0576 LeserArtikel bewerten:(0)Maru Group Canada Inc.: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies and cutting-edge AI analysis tools into one integrated solutionTORONTO and LONDON, Sept. 10, 2020(Maru), the global technology-enabled market research and customer insights company, has today announced the launch of an Instant Qualitative Environment, bringing together digital qualitative methodologies, expert moderation and AI-powered analysis tools. Researchers and marketers can, for the first time, create qualitative projects in a matter of minutes with the direct support and guidance from world-leading qualitative experts.Ged Parton, CEO at Maru Group, explains, "Qualitative research has really come to the forefront in recent months as businesses look to pivot operations yet still gain the same depth and quality of insights. Looking at the marketplace, we found existing qualitative platforms often focus solely on digital methodologies with limited analysis functionality and moderation left to expensive third-parties or the expertise of in-house teams."It's why we created the Maru/HUBInstant Qualitative Environment. Clients can very quickly and easily create a secure digital environment to run any number of qualitative activities, all with the support from our Qualitative Center of Excellence specialists. And because the platform has been developed directly as part of Maru/HUB, it benefits from the ecosystem's fantastic security and sheer scale meaning clients have a wide-range of recruitment options, including CX trackers, branded Panel Communities or our own profiled, quality respondents from Maru/Blue".Managed by Maru's international Qualitative Centre of Excellence team, the Instant Qualitative Environment is designed to elicit a more holistic understanding from respondents. The tool supports a range of integrated System 1 approaches and projective techniques to help researchers uncover insights that drive decisive action.Tommy Stinson, Managing Director, Qualitative Center of Excellence at Maru/Matchbox, comments, "We know that to deliver meaningful results, qualitative research needs a platform that allows us to uncover more about how respondents Feel, Behave and Think. Capturing a holistic understanding of people and their conscious and unconscious motivations empowers insights professionals to uncover new insights and tell transformative stories that empower informed, confident decisions for our clients."It's why the Instant Qualitative Environment tool directly integrates with Maru/HUB's System 1 approaches. Respondents can create image collages from our pre-coded library supported by our visual semiotics database, or we can ask participants to share actual behaviors through our media upload options. When combined with the team's creative questioning and projective approaches, the Instant Qualitative Environment allows us to really get under the skin of respondents and discover something new".Developed as part of Maru/HUB, Maru's technology ecosystem, the Instant Qualitative Environment platform integrates directly with all Maru technology, including Maru's cutting-edge, AI-powered Topic Modelling text analysis tool. Designed to analyze text at speed, Maru/HUB's Topic Modelling tool uncovers trends and patterns within data without the need for human intervention or interpretation.Maru's Instant Qualitative Environment is the latest in Maru's continuing development and expansion of Maru/HUB and is Maru's seventh major product launch this year.Contact:Michael [email protected] About Maru Group Maru is a technology-led insights provider. We deliver expert analysis and the latest innovations in insight services through our proprietorial technology platform, Maru/HUB.??We have a fully flexible service model;?delivering an experience to suit our clients'?requirements whether these be full serve, assisted serve or self-service; or a combination.?We have 3?separate, yet integrated,?operating?divisions.?Maru/Matchbox?is our?insights advisory business, delivering?end-to-end behavioral research projects using the latest innovations in insight generation.?Maru/Blue?is our industry-accredited sample and data services company,?prioritizing?known respondents to guarantee quality data.?Maru/HUB?is our unique?technology platform that underpins everything that we do.?About Maru/HUB Maru/HUBis an instant access platform that gives you meaningful insights to fuel confident business decisions. Maru/HUB is a fully scalable technology platform. It can be used for projects of any size, from small, ad hoc projects to enterprise-wide programs. It is powered by AI with first-class ingestion capabilities. Unlike other insights providers with bolt-on technologies, our team of experts has been building and developing our secure proprietary platform infrastructure for the last 15 years. The technology platform is ISO/IEC 27001 certified and adheres to the highest level of data security and compliance. Kostenloser Wertpapierhandel auf Smartbroker.de© 2020 GlobeNewswire (Europe)Sie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.618.0Wie 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. 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Maru Group Canada Inc.: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies and cutting-edge AI analysis tools into one integrated solution
Maru Group Canada .: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies cuttingedge AI analysis tools integrated solutionAnzeigeMehr 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, 10.09.2020 Brsentglich ber 12.000 News von 644 internationalen MedienErweiterteSucheIm Fokus der Medien Groer Artikel bringt diesen Penny ins Visier der AnlegerAnzeigeIndizesKursNews24 h 7 TAufrufe7 TageAktienKursNews24 h 7 TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:NachrichtenMaru Group Canada .: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies cuttingedge AI analysis tools integrated solutionPush MitteilungenFN als StartseiteGlobeNewswire Europe10.09.2020 16:0576 LeserArtikel bewerten:0Maru Group Canada .: Maru launches Instant Qualitative Platform bringing expert moderation, digital methodologies cuttingedge AI analysis tools integrated solutionTORONTO LONDON, Sept. 10, 2020Maru, global technologyenabled market research customer insights company, today announced launch Instant Qualitative Environment, bringing digital qualitative methodologies, expert moderation AIpowered analysis tools. Researchers marketers can, time, create qualitative projects matter minutes direct support guidance worldleading qualitative experts.Ged Parton, CEO Maru Group, explains, Qualitative research come forefront recent months businesses look pivot operations gain depth quality insights. Looking marketplace, existing qualitative platforms focus solely digital methodologies limited analysis functionality moderation left expensive thirdparties expertise inhouse teams.Its created MaruHUBInstant Qualitative Environment. Clients quickly easily create secure digital environment run number qualitative activities, support Qualitative Center Excellence specialists. And platform developed directly MaruHUB, benefits ecosystems fantastic security sheer scale meaning clients widerange recruitment options, including CX trackers, branded Panel Communities profiled, quality respondents MaruBlue.Managed Marus international Qualitative Centre Excellence team, Instant Qualitative Environment designed elicit holistic understanding respondents. The tool supports range integrated System 1 approaches projective techniques help researchers uncover insights drive decisive action.Tommy Stinson, Managing Director, Qualitative Center Excellence MaruMatchbox, comments, We know deliver meaningful results, qualitative research needs platform allows uncover respondents Feel, Behave Think. Capturing holistic understanding people conscious unconscious motivations empowers insights professionals uncover new insights tell transformative stories empower informed, confident decisions clients.Its Instant Qualitative Environment tool directly integrates MaruHUBs System 1 approaches. Respondents create image collages precoded library supported visual semiotics database, ask participants share actual behaviors media upload options. When combined teams creative questioning projective approaches, Instant Qualitative Environment allows skin respondents discover new.Developed MaruHUB, Marus technology ecosystem, Instant Qualitative Environment platform integrates directly Maru technology, including Marus cuttingedge, AIpowered Topic Modelling text analysis tool. Designed analyze text speed, MaruHUBs Topic Modelling tool uncovers trends patterns data need human intervention interpretation.Marus Instant Qualitative Environment latest Marus continuing development expansion MaruHUB Marus seventh major product launch year.:Michael Cusdenmichael.cusden About Maru Group Maru technologyled insights provider. We deliver expert analysis latest innovations insight services proprietorial technology platform, MaruHUB.??We fully flexible service model;?delivering experience suit clients?requirements serve, assisted serve selfservice; combination.?We 3?separate, integrated,?operating?divisions.?MaruMatchbox?is our?insights advisory business, delivering?endtoend behavioral research projects latest innovations insight generation.?MaruBlue?is industryaccredited sample data services company,?prioritizing?known respondents guarantee quality data.?MaruHUB?is unique?technology platform underpins do.?About MaruHUB MaruHUBis instant access platform gives meaningful insights fuel confident business decisions. MaruHUB fully scalable technology platform. It projects size, small, ad hoc projects enterprisewide programs. It powered AI firstclass ingestion capabilities. Unlike insights providers bolton technologies, team experts building developing secure proprietary platform infrastructure 15 years. The technology platform ISOIEC 27001 certified adheres highest level data security compliance. Kostenloser Wertpapierhandel auf Smartbroker.de2020GlobeNewswire EuropeSie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.618.0Wie 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. 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2,020
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https://www.ourmidland.com/news/article/Scientists-combat-anti-Semitism-with-artificial-15584227.php
2020-09-21T00:00:00
en
Scientists combat anti-Semitism with artificial intelligence - Midland Daily News
Scientists combat anti-Semitism with artificial intelligence - Midland Daily News Subscribe Subscriber Services Home Contact Us Insider FAQ FAQ Circulation News Now signup Breaking News signup Print Archives Gas Prices Privacy Notice Terms of Use News Local News Police and Courts Coronavirus Community Matters Modern Heroes Business State U.S. and World Special Sections Submit News Police seek help from every citizen in statewide missing person One week remains to apply for federal assistance       What is heart failure and how is MDN Asks: Is it Gladwinner or Gladwinian? Sports High School Sports Keegan Akin earns first major league win Tom Lounsbury: Passing along my love of hunting Photos: Newman and U-M swim team work out at Michigan Stadium Midland boys win state pickleball title Opinion Editorials Letters Voices Submit a Letter Lifestyles Lifestyles Announcements Announcements Announcements Weddings Engagements Anniversaries Birthdays Submit a Wedding Submit an Engagement Submit an Anniversary Submit a Birthday Submit a Birth Throwback Entertainment Real Estate Things to Do: Entertainment in the Midland, Great Lakes Bay Chuck Martin: Things plants do for love Throwback: Downtown Midland through the years Studio 23 hosts all-state artists exhibit Insider Insider Insider FAQ Local coaches express mixed feelings about MHSAA's decision Window into Midland's Past: Hannah Murray, daughter of Irish Performing arts spotlight: Ally Noel, Midland High School Performing arts spotlight: Kevin Hoefer, Midland High School Events Readers' Choice Flood Curbside Coronavirus Photos Obits Classifieds Contact Us Submit a Classified Jobs MenuSections https://www.ourmidland.com/news/article/Scientists-combat-anti-Semitism-with-artificial-15584227.php Scientists combat anti-Semitism with artificial intelligence Kirsten Grieshaber, Associated Press Published 2:00 pm EDT, Monday, September 21, 2020 BERLIN (AP) — An international team of scientists said Monday it had joined forces to combat the spread of anti-Semitism online with the help of artificial intelligence. The project Decoding Anti-Semitism includes discourse analysts, computational linguists and historians who will develop a “highly complex, AI-driven approach to identifying online anti-Semitism,” the Alfred Landecker Foundation, which supports the project, said in a statement Monday. “In order to prevent more and more users from becoming radicalized on the web, it is important to identify the real dimensions of anti-Semitism — also taking into account the implicit forms that might become more explicit over time," said Matthias Becker, a linguist and project leader from the Technical University of Berlin. The team also includes researchers from King’s College in London and other scientific institutions in Europe and Israel. Computers will help run through vast amounts of data and images that humans wouldn’t be able to assess because of their sheer quantity, the foundation said. "Studies have also shown that the majority of anti-Semitic defamation is expressed in implicit ways – for example through the use of codes (“juice” instead of “Jews”) and allusions to certain conspiracy narratives or the reproduction of stereotypes, especially through images," the statement said. As implicit anti-Semitism is harder to detect, the combination of qualitative and AI-driven approaches will allow for a more comprehensive search, the scientists think. The problem of anti-Semitism online has increased, as seen by the rise in conspiracy myths accusing Jews of creating and spreading COVID-19, groups tracking anti-Semitism on the internet have found. The focus of the current project is initially on Germany, France and the U.K., but will later be expanded to cover other countries and languages. The Alfred Landecker Foundation, which was founded in 2019 in response to rising trends of populism, nationalism and hatred toward minorities, is supporting the project with 3 million euros ($3.5 million), the German news agency dpa reported. Most Popular 1 City of Midland answers questions about Halloween 2 Midland adds nine coronavirus cases Saturday 3 Mother of suicide victim says awareness is key 4 Midland vigil for Ruth Bader Ginsburg draws over 40 people 5 Mondays in Midland: Charles Thomas 6 The best places to eat in Midland, as picked by readers in 2020 7 Midland County crime log - Sept. 19, 2020 Business Directory Discover, review local businesses View Comments © 2020 Hearst Communications, Inc. Logo Return to Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms of Use Our Company Careers Advertising Contact Contact Us FAQ Today's eEdition Connect Facebook Twitter Hearst Newspapers © Copyright Hearst Newspapers, LLC
Scientists combat anti-Semitism with artificial intelligence
Scientists combat antiSemitism artificial intelligence Midland Daily News r Services Home Us Insider FAQ FAQ Circulation News Now signup Breaking News signup Print Archives Gas Prices Privacy Notice Terms Use News Local News Police Courts Coronavirus Community Matters Modern Heroes Business State U.S. World Special Sections Submit News Police seek help citizen statewide missing person One week remains apply federal assistance What isheartfailure andhow MDN Asks: Is Gladwinner Gladwinian? Sports High School Sports Keegan Akin earns major league win Tom Lounsbury:Passing love hunting Photos: Newman UM swim team work Michigan Stadium Midland boys win state pickleball title Opinion Editorials Letters Voices Submit Letter Lifestyles Lifestyles Announcements Announcements Announcements Weddings Engagements Anniversaries Birthdays Submit Wedding Submit Engagement Submit Anniversary Submit Birthday Submit Birth Throwback Entertainment Real Estate Things Do: Entertainment Midland, Great Lakes Bay Chuck Martin:Thingsplants forlove Throwback: Downtown Midland years Studio 23 hosts allstate artists exhibit Insider Insider Insider FAQ Local coaches express mixed feelings MHSAAs decision Window Midlands Past: Hannah Murray, daughter Irish Performing arts spotlight: Ally Noel, Midland High School Performing arts spotlight: Kevin Hoefer, Midland High School Events Readers Choice Flood Curbside Coronavirus Photos Obits Classifieds Us Submit Classified Jobs MenuSections Scientists combat antiSemitism artificial intelligence Kirsten Grieshaber, Associated Press Published 2:00pm EDT, Monday, September 21, 2020 BERLIN AP An international team scientists said Monday joined forces combat spread antiSemitism online help artificial intelligence. The project Decoding AntiSemitism includes discourse analysts, computational linguists historians develop highly complex, AIdriven approach identifying online antiSemitism, Alfred Landecker Foundation, supports project, said statement Monday. In order prevent users radicalized web, important identify real dimensions antiSemitism taking account implicit forms explicit time, said Matthias Becker, linguist project leader Technical University Berlin. The team includes researchers Kings College London scientific institutions Europe Israel. Computers help run vast amounts data images humans wouldnt able assess sheer quantity, foundation said. Studies shown majority antiSemitic defamation expressed implicit ways example use codes juice instead Jews allusions certain conspiracy narratives reproduction stereotypes, especially images, statement said. As implicit antiSemitism harder detect, combination qualitative AIdriven approaches allow comprehensive search, scientists think. The problem antiSemitism online increased, seen rise conspiracy myths accusing Jews creating spreading COVID19, groups tracking antiSemitism internet found. The focus current project initially Germany, France U.K., later expanded cover countries languages. The Alfred Landecker Foundation, founded 2019 response rising trends populism, nationalism hatred minorities, supporting project 3 million euros 3.5 million, German news agency dpa reported. Most Popular 1 City Midland answers questions Halloween 2 Midland adds coronavirus cases Saturday 3 Mother suicide victim says awareness key 4 Midland vigil Ruth Bader Ginsburg draws 40 people 5 Mondays Midland: Charles Thomas 6 The best places eat Midland, picked readers 2020 7 Midland County crime log Sept. 19,2020 Business Directory Discover, review local businesses View Comments 2020 Hearst Communications, . Logo Return Top About Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Our Company Careers Advertising Us FAQ Todays eEdition Connect Facebook Twitter Hearst Newspapers Hearst Newspapers, LLC
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https://www.wfmz.com/news/pr_newswire/pr_newswire_business/ibm-amazon-deloitte-dxc-and-accenture-partnering-with-uneeq-to-drive-the-future-of-conversational/article_0b8c0c3b-17d8-53dd-a813-8fdd7fa5769f.html
2020-09-17T00:00:00
en
IBM, Amazon, Deloitte, DXC, and Accenture Partnering with UneeQ to Drive the Future of Conversational AI Adoption | News | wfmz.com
IBM, Amazon, Deloitte, DXC, and Accenture Partnering with UneeQ to Drive the Future of Conversational AI Adoption | News | wfmz.com You have permission to edit this article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Coronavirus Info Lehigh Valley Berks Regional ▶ Schools US and World Sunrise Inside Your Town Espanol ▶ In Case You Missed It Recalls Missing Persons Good News Weather Forecast Hour by Hour Local Radar 69News Weather Channel Stream and River Levels Pocono Cameras School and Business Closings Send your weather report Traffic Live Streaming Cameras Cameras and Alerts Lehigh Valley Traffic Berks Traffic I-78 Corridor US-22 Corridor Weekly Roadwork Pump Prices Sports Local Scoreboard MLB Scores and Matchups NFL Scores and Matchups Video Entertainment Things to Do Freddy Awards Contests Music Monday Program Schedule Features Food and Recipes Mr. Food Things to Do What the Tech? 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History's Headlines One Tank Trip Signature Dish Life Lessons & Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send us your Photos / Video Send us your Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters About Us Contact Us Email Alerts Mobile and Free Apps Employment How to Watch Us WFMZ-TV 69.1 Schedule WFMZ-TV 69.3 - MeTV Schedule WDPN-TV 2.4 - H&I Schedule WDPN-TV 2.5 - Retro TV Order a copy of a story Internships Meet The Team About WFMZ-TV WFMZ-TV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order a copy of a story Share This Facebook Twitter WhatsApp SMS Email Home News News IBM, Amazon, Deloitte, DXC, and Accenture Partnering with UneeQ to Drive the Future of Conversational AI Adoption By VNM USA;UneeQ; Sep 17, 2020 Sep 17, 2020 Updated 59 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save MADISON, Wis., Sept. 17, 2020 /PRNewswire/ -- VNM USA and UneeQ foresee the next decade of customer experience being largely defined by the implementation of conversational AI within digital humans.Gartner predicts by 2022, 70% of white-collar workers will interact with conversational AI platforms (chatbots, voice assistants, and digital humans) on a daily basisAs the conversational AI market accelerates – driven in part by today's contactless experiences – organizations need guidance on how the emerging tech can create superior customer experiences.The answer lies in digital humans. Digital humans are AI-powered virtual beings that interact using verbal and nonverbal cues, recreating natural human interaction at a much greater scale. Today, they exist in both the physical world within retail stores, as well as online where they serve infinite customers simultaneously.To help customers create digital human experiences, companies including IBM, Deloitte, and DXC are partnering with UneeQ to help customers along their AI journeys. They are the first of many to join UneeQ's Partner Program, which is a community of technologists, creative minds, and business professionals who are devoted to building great customer experiences."Our vision is to become the global standard for digital humans, enabling the best creative minds to design and build amazing experiences that improve human life. Today, we've taken another step towards achieving this goal by launching our new partner program. This ecosystem will play a pivotal role to ensure customers can successfully deploy conversational experiences that will redefine brand experience and create emotional connection with their users." - Danny Tomsett, CEO and Founder of UneeQ.The program consists of referral, technology, consulting, as well as strategic partnerships with our handpicked global alliances. The program enables companies of all professions, including NLP, NLG, chatbot, web design, and consultants, to service the broader digital human customer community and drive incremental revenue.Precipitating the exponential growth of digital humans is the newly released UneeQ Creator. UneeQ Creator enables anyone to design, develop, and deploy their own customized, AI-powered digital human in a matter of minutes. Since launching the UneeQ Creator platform in mid-July 2020, UneeQ has enabled the creation of more than 700 digital humans and facilitated 2,000+ conversations. The UneeQ Creator is free to trial and offers upgraded features starting at $899 per month.Build your first digital human for free here: https://digitalhumans.com/creator/Contact:Ryan [email protected] Recommended for you Facebook Twitter WhatsApp SMS Email Print Save DISCLAIMER FOR COMMENTS: The views expressed by public comments are not those of this company or its affiliated companies. Please note by clicking on "Post" you acknowledge that you have read the TERMS OF USE and the comment you are posting is in compliance with such terms. Your comments may be used on air. Be polite. Inappropriate posts or posts containing offsite links, images, GIFs, inappropriate language, or memes may be removed by the moderator. Job listings and similar posts are likely automated SPAM messages from Facebook and are not placed by WFMZ-TV. Sign Up for Breaking News Get local Breaking News alerts sent directly to your inbox. Success! An email has been sent to with a link to confirm list signup. Error! 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IBM, Amazon, Deloitte, DXC, and Accenture Partnering with UneeQ to Drive the Future of Conversational AI Adoption
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Historys Headlines One Tank Trip Signature Dish Life Lessons Health Beat Positive Parenting Think Tank Freddy Awards Talk With Your Doctor The Wisdom Coalition Give Me Shelter: Perspectives On Youth Violence Community Community Calendar Send Photos Video Send Birthday Photos Adopt Lehigh Valley Kids Furry Friends Employment Business Business News Local Stocks Shop Talk Business Matters Us Email Alerts Mobile Free Apps Employment How Watch Us WFMZTV 69.1 Schedule WFMZTV 69.3 MeTV Schedule WDPNTV 2.4 HI Schedule WDPNTV 2.5 Retro TV Order copy story Internships Meet The Team About WFMZTV WFMZTV 40th Anniversary FCC Public Inspection File Shop Weekly Savings Order copy story Share This Facebook Twitter WhatsApp SMS Email Home News News IBM, Amazon, Deloitte, DXC, Accenture Partnering UneeQ Drive Future Conversational AI Adoption By VNM USA;UneeQ; Sep 17, 2020 Sep 17, 2020 Updated 59 min ago Facebook Twitter WhatsApp SMS Email Facebook Twitter WhatsApp SMS Email Print Save Facebook Twitter WhatsApp SMS Email Print Save MADISON, Wis., Sept. 17, 2020 PRNewswire VNM USA UneeQ foresee decade customer experience largely defined implementation conversational AI digital humans.Gartner predicts 2022, 70 whitecollar workers interact conversational AI platforms chatbots, voice assistants, digital humans daily basisAs conversational AI market accelerates driven todays contactless experiences organizations need guidance emerging tech create superior customer experiences.The answer lies digital humans. Digital humans AIpowered virtual beings interact verbal nonverbal cues, recreating natural human interaction greater scale. Today, exist physical world retail stores, online serve infinite customers simultaneously.To help customers create digital human experiences, companies including IBM, Deloitte, DXC partnering UneeQ help customers AI journeys. They join UneeQs Partner Program, community technologists, creative minds, business professionals devoted building great customer experiences.Our vision global standard digital humans, enabling best creative minds design build amazing experiences improve human life. Today, weve taken step achieving goal launching new partner program. This ecosystem play pivotal role ensure customers successfully deploy conversational experiences redefine brand experience create emotional connection users. Danny Tomsett, CEO Founder UneeQ.The program consists referral, technology, consulting, strategic partnerships handpicked global alliances. The program enables companies professions, including NLP, NLG, chatbot, web design, consultants, service broader digital human customer community drive incremental revenue.Precipitating exponential growth digital humans newly released UneeQ Creator. UneeQ Creator enables design, develop, deploy customized, AIpowered digital human matter minutes. Since launching UneeQ Creator platform midJuly 2020, UneeQ enabled creation 700 digital humans facilitated 2,000 conversations. The UneeQ Creator free trial offers upgraded features starting 899 month.Build digital human free here: Cowdrey8477917926r 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. 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https://www.siasat.com/xi-jinping-using-ai-to-tighten-grip-on-china-report-1964542/
2020-09-03T00:00:00
en
Xi Jinping using AI to tighten grip on China: Report
Xi Jinping using AI to tighten grip on China: Report Menu Home ePaper Telangana Hyderabad News India Middle East Entertainment Business Photos Videos Subscribe to Notifications Settings Search for Sidebar Home/News/Xi Jinping using AI to tighten grip on China: Report Xi Jinping using AI to tighten grip on China: Report Every person who enters a public space in the future can be instantly identified by AI By Mansoor Updated: 3rd September 2020 3:42 pm IST Washington:  Chinese President Xi Jinping is using Artificial Intelligence (AI) to tighten his government’s totalitarian control and is exporting the technology to other countries across the world, according to a report. Xi wants to build an all-seeing digital system of social control, patrolled by precog algorithms that could identify potential dissenters in real-time. While China has already installed hundreds of millions of cameras in place, the Chinese government hopes to soon achieve the full video coverage of key public areas, writes Ross Andersen, a deputy editor of The Atlantic. Every person who enters a public space in the future can be instantly identified by AI, matching them with their data, including their every text communication, and their body’s one-of-a-kind protein-construction schema. “In time, algorithms will be able to string together data points from a broad range of sources — travel records, friends and associates, reading habits, purchases — to predict political resistance before it happens,” Andersen added. With Xi keen to see his country achieve AI supremacy by 2030, the Chinese government could soon gain an unprecedented political stranglehold on over a billion people. China has been adopting surveillance measures in the past. Ahead of the 2008 Summer Olympics in Beijing, Chinese security services achieved a new level of control over the country’s internet. During the COVID-19 outbreak, the Xi government was dependant on private firms in possession of sensitive personal data. Any emergency data-sharing arrangements made behind close doors during the crisis could become permanent, says Andersen. Chinese citizens were subjected to a form of risk scoring during the early stages of the coronavirus pandemic, where every people were assigned a colour code — green, yellow and red — as per an algorithm, which also determined their ability to take transit or visit building in megacities. However, in a sophisticated digital system of digital control, these codes could be used to score a person’s perceived political pliancy. A crude version of this system is already present in China’s Xinjiang in the northwestern part of the country. Once Xi makes this system perfect, no technological limitations will pin him down from extending AI surveillance across China. READ:  Thai government delays purchase of submarines from China“With AI, Xi can build history’s most oppressive authoritarian apparatus, without the manpower Mao needed to keep information about dissent flowing to a single, centralized node. In China’s most prominent AI start-ups — SenseTime, CloudWalk, Megvii, Hikvision, iFlytek, Meiya Pico — Xi has found willing commercial partners. And in Xinjiang’s Muslim minority, he has found his test population,” Andersen wrote in the article. Uyghurs, who install VPN would likely lead to an investigation so they cannot download WhatsApp or any other prohibited encrypted-chat software. Purchasing prayer rugs online, storing digital copies of Islamic books and downloading sermons are all considered risky activities. Also, authorities may take note if an Uyghur person wants to use WeChat’s payment system to donate to a mosque. Some Uyghurs buried their mobile phones containing religious materials or even froze their data cards into dumplings for safekeeping amid the cultural crackdown by the Xi government. Police have forced them to install nanny applications on their new phones, according to the anthropologist Darren Byler. These apps use algorithms to hunt for “ideological viruses” day and night. They can also scan chat histories for Quran verses, Arabic script in memes and other image files, Byler said. These nanny apps work with the police, who inspect phones at checkpoints and scrolling through call logs and texts. Staying off from social media because digital inactivity itself can raise suspicions. Police are required to note when Uyghurs deviate from their normal behaviour patterns. Their database wants to know if the ethnic community members can leave their home through back door instead of front, and it they spend less time interacting with their neighbours. China uses “predatory lending to sell telecommunications equipment at a significant discount to developing countries, which then puts China in a position to control those networks and their data,” Michael Kratsios, America’s CTO, told The Atlantic. READ:  India condemns fresh transgression by China at Pangong lakeWhen countries want to refinance the loan terms, China can make the network access part of the deal just like the way its military gets base rights at foreign ports financed by it. “If you give (China) unfettered access to data networks around the world, that could be a serious problem,” Kratsios said. CloudWalk Technology, a Guangzhou-based start-up, signed a deal with the Zimbabwean government in 2018 for setting up a surveillance network. According to the terms, Zimbabwe is required to send images of its inhabitants, a rich data set, back to CloudWalk’s Chinese offices, allowing the firm to fine-tune its software ability to recognise dark-skinned faces, which have proved tricky for its algorithms previously. Chinese telecom titan ZTE sold Ethiopia a wireless network with built-in backdoor access for the government. However, dissents were rounded up as part of the crackdown for brutal interrogations, during which they were played audio from recent phone calls they had made. Other countries like Kenya, Uganda and Mauritius are installing Chinese-made surveillance networks in their cities. Moreover, the Zambian government has agreed to purchase over USD 1 billion in telecom equipment from China, including internet-monitoring technology. In South Asia, Beijing has supplied surveillance equipment to Sri Lanka and Chinese company Dahua is installing AI-assisted surveillance cameras in Ulaanbaatar, the capital of Mongolia. Farther west, in Serbia, Chinese telecom giant Huawei is helping to set up a “safe-city system“, having facial-recognition cameras and joint patrols carried out by Serbian and Chinese Police aimed at helping Chinese tourists to feel safe and secure. In Latin America, which the Chinese government describes the region as a “core economic interest“, Beijing financed Ecuador’s USD 240 million purchase of a surveillance camera system. Bolivia has bought surveillance equipment with loan assistance from China. Recently, Venezuela introduced a new national identity card system that logs citizens’ political affiliations in a database built by ZTE. Source: PTI CategoriesNewsTop Stories TagsArtificial Intelligence (AI) China Uighur Muslims Xi Jinping Subscribe us on Get the news updates on WhatsApp & Telegram by subscribing to our channels. For all the latest News updates, download our app Android and iOS. Latest News 3 mins ago SC: Remove 48K shanties along Delhi tracks in 3 months 8 mins ago David Beckham on healthy living as a way of life 15 mins ago Anup Soni denies Kangana’s claim that 99% of B’wood consumes drugs 18 mins ago ‘Crime Patrol’ fame Anup Soni on Kangana’s claim that 99 per cent of B’wood consumes drugs Contribute To contribute an article to Siasat Daily or enquire about syndication, please write to [email protected] Trending News After ‘Rasode MeiN Kaun Tha’ Arnab’s ‘Mujhe Drugs Do’ mashup goes viral Bigg Boss 14: Salman Khan’s fee, probable contestants revealed Govt eliminates cooking gas subsidy Swara Bhaskar hits out at news channel over an article on 'Jawaan Saali' Video: Doctors pull out 4-feet-long snake from woman’s mouth News Featured India Delhi Politics World Pakistan Kashmir Middle East Gallery Photos Videos Technology Mobile Technology Crime Crime in Hyderabad Crime & Accident Entertainment Bollywood Hollywood Sports Lifestyle Health Mens Health Womens Health Recipes South India Telangana Andhra Pradesh Hyderabad Bangalore Business Business Stock Market Automobile +91-40-24744180 +91-40-24603666 FacebookTwitterLinkedInYouTubeInstagramTelegramWhatsapp About Us Editorial Standards Contact Us Advertise With Us Support Privacy Policy Sitemap Copyright © Siasat Daily, 2020. 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Xi Jinping using AI to tighten grip on China: Report
Xi Jinping AI tighten grip China: Report Menu Home ePaper Telangana Hyderabad News India Middle East Entertainment Business Photos Videos Notifications Settings Sidebar HomeNewsXi Jinping AI tighten grip China: Report Xi Jinping AI tighten grip China: Report Every person enters public space future instantly identified AI By Mansoor Updated: 3rd September 2020 3:42 pm IST Washington: Chinese President Xi Jinping Artificial Intelligence AI tighten governments totalitarian control exporting technology countries world, according report. Xi wants build allseeing digital social control, patrolled precog algorithms identify potential dissenters realtime. While China installed hundreds millions cameras place, Chinese government hopes soon achieve video coverage key public areas, writes Ross Andersen, deputy editor The Atlantic. Every person enters public space future instantly identified AI, matching data, including text communication, bodys oneofakind proteinconstruction schema. In time, algorithms able string data points broad range sources travel records, friends associates, reading habits, purchases predict political resistance happens, Andersen added. With Xi keen country achieve AI supremacy 2030, Chinese government soon gain unprecedented political stranglehold billion people. China adopting surveillance measures past. Ahead 2008 Summer Olympics Beijing, Chinese security services achieved new level control countrys internet. During COVID19 outbreak, Xi government dependant private firms possession sensitive personal data. Any emergency datasharing arrangements close doors crisis permanent, says Andersen. Chinese citizens subjected form risk scoring early stages coronavirus pandemic, people assigned colour code green, yellow red algorithm, determined ability transit visit building megacities. However, sophisticated digital digital control, codes score persons perceived political pliancy. A crude version present Chinas Xinjiang northwestern country. Once Xi makes perfect, technological limitations pin extending AI surveillance China. READ: Thai government delays purchase submarines ChinaWith AI, Xi build historys oppressive authoritarian apparatus, manpower Mao needed information dissent flowing single, centralized node. In Chinas prominent AI startups SenseTime, CloudWalk, Megvii, Hikvision, iFlytek, Meiya Pico Xi willing commercial partners. And Xinjiangs Muslim minority, test population, Andersen wrote article. Uyghurs, install VPN likely lead investigation download WhatsApp prohibited encryptedchat software. Purchasing prayer rugs online, storing digital copies Islamic books downloading sermons considered risky activities. Also, authorities note Uyghur person wants use WeChats payment donate mosque. Some Uyghurs buried mobile phones containing religious materials froze data cards dumplings safekeeping amid cultural crackdown Xi government. Police forced install nanny applications new phones, according anthropologist Darren Byler. These apps use algorithms hunt ideological viruses day night. They scan chat histories Quran verses, Arabic script memes image files, Byler said. These nanny apps work police, inspect phones checkpoints scrolling logs texts. Staying social media digital inactivity raise suspicions. Police required note Uyghurs deviate normal behaviour patterns. Their database wants know ethnic community members leave home door instead front, spend time interacting neighbours. China uses predatory lending sell telecommunications equipment significant discount developing countries, puts China position control networks data, Michael Kratsios, Americas CTO, told The Atlantic. READ: India condemns fresh transgression China Pangong lakeWhen countries want refinance loan terms, China network access deal like way military gets base rights foreign ports financed it. If China unfettered access data networks world, problem, Kratsios said. CloudWalk Technology, Guangzhoubased startup, signed deal Zimbabwean government 2018 setting surveillance network. According terms, Zimbabwe required send images inhabitants, rich data set, CloudWalks Chinese offices, allowing firm finetune software ability recognise darkskinned faces, proved tricky algorithms previously. Chinese telecom titan ZTE sold Ethiopia wireless network builtin backdoor access government. However, dissents rounded crackdown brutal interrogations, played audio recent phone calls made. Other countries like Kenya, Uganda Mauritius installing Chinesemade surveillance networks cities. Moreover, Zambian government agreed purchase USD 1 billion telecom equipment China, including internetmonitoring technology. In South Asia, Beijing supplied surveillance equipment Sri Lanka Chinese company Dahua installing AIassisted surveillance cameras Ulaanbaatar, capital Mongolia. Farther west, Serbia, Chinese telecom giant Huawei helping set safecity system, facialrecognition cameras joint patrols carried Serbian Chinese Police aimed helping Chinese tourists feel safe secure. In Latin America, Chinese government describes region core economic interest, Beijing financed Ecuadors USD 240 million purchase surveillance camera system. Bolivia bought surveillance equipment loan assistance China. Recently, Venezuela introduced new national identity card logs citizens political affiliations database built ZTE. Source: PTI CategoriesNewsTop Stories TagsArtificial Intelligence AI China Uighur Muslims Xi Jinping Get news updates WhatsApp Telegram subscribing channels. For latest News updates, download app Android iOS. Latest News 3 mins ago SC: Remove 48K shanties Delhi tracks 3 months 8 mins ago David Beckham healthy living way life 15 mins ago Anup Soni denies Kanganas claim 99 Bwood consumes drugs 18 mins ago Crime Patrol fame Anup Soni Kanganas claim 99 cent Bwood consumes drugs Contribute To contribute article Siasat Daily enquire syndication, write newsdesk Trending News After Rasode MeiN Kaun Tha Arnabs Mujhe Drugs Do mashup goes viral Bigg Boss 14: Salman Khans fee, probable contestants revealed Govt eliminates cooking gas subsidy Swara Bhaskar hits news channel article Jawaan Saali Video: Doctors pull 4feetlong snake womans mouth News Featured India Delhi Politics World Pakistan Kashmir Middle East Gallery Photos Videos Technology Mobile Technology Crime Crime Hyderabad Crime Accident Entertainment Bollywood Hollywood Sports Lifestyle Health Mens Health Womens Health Recipes South India Telangana Andhra Pradesh Hyderabad Bangalore Business Business Stock Market Automobile 914024744180 914024603666 FacebookTwitterLinkedInYouTubeInstagramTelegramWhatsapp Editorial Standards Us Advertise With Us Support Sitemap Siasat Daily, 2020. 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Data Science Platform Market Size is Projected to Grow USD 107,640.11 Million by 2025 | Valuates Reports
Data Science Platform Market Size is Projected to Grow USD 107,640.11 Million by 2025 | Valuates Reports Resources Blog Journalists Log In Sign Up Data Privacy Send a Release News Products Contact Search Search Searching for your content... No results found. Please change your search terms and try again. 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insights from voluminous data.  The Global Data Science Platform Market size is expected to grow from USD 37,163.80 Million in 2019 to USD 107,640.11 Million by 2025 at a Compound Annual Growth Rate (CAGR) of 19.39% during the forecast period. Get Detailed Analysis of COVID-19 Impact on Data Science Platform Market: https://reports.valuates.com/request/sample/360I-Auto-9K120/The_Global_Data_Science_Platform  TRENDS INFLUENCING DATA SCIENCE PLATFORM MARKET SIZE Organizations are moving rapidly towards digitalization and automation, which increase big data and result in complex business processes. Organizations need innovative technology to deal with these challenges, which help gain insights into a large pool of data in real-time. The data science platform helps them streamline business processes and acquire new customers. This factor is expected to propel the Data Science Platform market size. The adoption of the Data Science Platform by telecommunication companies is expected to fuel the Data Science Platform market size. Telecom companies operate with full data flow as they also operate with large networks and infrastructures of communication. One of the most realistic solutions is to analyze and process these data with the data science platforms' aid. Moreover, the increased demand from the BFSI sector due to the need to simplify the complexities of operations in the banking and finance sector is driving the Data Science Platform market size significantly. Growing numbers of bank fraud relating to accounting, credit cards, insurance, and others in the banking sector contributed to substantial market growth. Data science technology helps banking and finance companies proactively identify fraud to protect their clients and employees. However, a shortage of qualified workforce and a rise in data security and privacy issues might hamper market development. View Full Report: https://reports.valuates.com/market-reports/360I-Auto-9K120/the-global-data-science-platform  DATA SCIENCE PLATFORM MARKET SHARE ANALYSIS Based on Region, North America is expected to hold the largest data science platform market share during the forecast period. This dominance of North America is attributed to the capital intensive industries present across the region. The demand for cloud, IoT, and edge solutions generates immense data, thereby increasing the need for advanced data processing technologies. This data processing requirement is increasing the APAC region's Data Science Platform Market size. In addition, investments by major tech firms are expected to fuel business growth across the region. Based on Geography, the Data Science Platform Market studied across Americas, Asia-Pacific, Europe, Middle East Africa Inquire for Regional Data: https://reports.valuates.com/request/regional/360I-Auto-9K120/The_Global_Data_Science_Platform  DATA SCIENCE PLATFORM MARKET SEGMENTATION Based on Organization Size, the Data Science Platform Market studied across Large Enterprises Small & Medium-Sized Enterprises. Based on Business Function, the Data Science Platform Market studied across Customer Support Finance and Accounting Logistics Marketing, and Sales. Based on Industry Vertical, the Data Science Platform Market studied across Banking, Financial Services, Insurance, Energy & Utilities, Government & Defense, Healthcare and Life Sciences, Manufacturing, Media & Entertainment, Retail and Ecommerce, Telecom & IT, Transportation & Logistics. TOP COMPANIES IN THE DATA SCIENCE PLATFORM MARKET Competition in the global market for data science platforms is moderate. With the advent of new data science innovations, vendors either improve their goods in line with end-users' requirements or compete actively in the global market for organic and inorganic growth strategies. Top companies in the Data Science Platform Market include,  Altair, Alteryx, Anaconda, Bridgei2i, Cloudera, Databricks, Domino Data Lab, Google, IBM, MathWorks, Microsoft, RapidMiner, Rexer Analytics, SAS Institute, Wolfram. THE REPORT ANSWERS QUESTIONS SUCH AS What is the market size and forecast of the Global Data Science Platform Market? What are the inhibiting factors and impact of COVID-19 shaping the Global Data Science Platform Market during the forecast period? Which are the products/segments/applications/areas to invest in over the forecast period in the Global Data Science Platform Market? What is the competitive strategic window for opportunities in the Global Data Science Platform Market? What are the technology trends and regulatory frameworks in the Global Data Science Platform Market? What are the modes and strategic moves considered suitable for entering the Global Data Science Platform Market? Buy Now for Single User: https://reports.valuates.com/api/directpaytoken?rcode=360I-Auto-9K120&lic=single-user  Buy Now for Enterprise User: https://reports.valuates.com/api/directpaytoken?rcode=360I-Auto-9K120&lic=enterprise-user  SIMILAR REPORTS ●  Open Source Intelligence Market The global open source intelligence (OSINT) market size was valued at USD 5.02 Billion in 2018 and is projected to reach USD 29.19 Billion by 2026, growing at a CAGR of 24.7% from 2020 to 2027. Major factors driving the growth of Open Source Intelligence Market size include the adoption of open source intelligence tools by different organizations and growing demand for cloud-based OSINT by SMEs. View Full Report: https://reports.valuates.com/market-reports/ALLI-Manu-1E20/open-source-intelligence  ●  Data Science and Machine Learning (ML) Platforms Market View Full Report: https://reports.valuates.com/market-reports/QYRE-Othe-3W315/data-science-and-machine-learning-platforms  ●  Data Science Platform Services Market View Full Report: https://reports.valuates.com/market-reports/QYRE-Auto-27Y1825/global-data-science-platform-services  ABOUT US: Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.  Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that's why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs. To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains detail research methodology employed to generate the report, Please also reach to our sales team to get the complete list of our data sources CONTACT US: Valuates Reports[email protected] For U.S. Toll-Free Call  +1-(315)-215-3225For IST Call  +91-8040957137WhatsApp : +91 9945648335Website: https://reports.valuates.com Twitter - https://twitter.com/valuatesreports Linkedin - https://in.linkedin.com/company/valuatesreports Facebook - https://www.facebook.com/valuatesreports SOURCE Valuates Reports × Modal title Also from this source Smart Manufacturing Market Size is Projected to Reach USD 314,839.... Threat Intelligence Market Size is Projected to Reach USD... 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Data Science Platform Market Size is Projected to Grow USD 107,640.11 Million by 2025
Data Science Platform Market Size Projected Grow USD 107,640.11 Million 2025 Valuates Reports Resources Blog Journalists Log In Sign Up Data Privacy Send Release News Products ing content... No results found. Please change search terms try again. 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Log In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Data Science Platform Market Size Projected Grow USD 107,640.11 Million 2025 Valuates Reports English English News provided Valuates Reports Sep 14, 2020, 10:30 ET Share article BANGALORE, India, Sept. 14, 2020 PRNewswire Major factors driving growth Data Science Platform market size include rising emphasis easytouse methods drive sales, need gain competitive edge gaining indepth insights voluminous data. The Global Data Science Platform Market size expected grow USD 37,163.80 Million 2019 USD 107,640.11 Million 2025 Compound Annual Growth Rate CAGR 19.39 forecast period. Get Detailed Analysis COVID19 Impact Data Science Platform Market: TRENDS INFLUENCINGDATA SCIENCE PLATFORM MARKET SIZE Organizations moving rapidly digitalization automation, increase big data result complex business processes. Organizations need innovative technology deal challenges, help gain insights large pool data realtime. The data science platform helps streamline business processes acquire new customers. This factor expected propel Data Science Platform market size. The adoption ofthe Data Science Platform telecommunication companies expected fuel Data Science Platform market size. Telecom companies operate data flow operate large networks infrastructures communication. One realistic solutions analyze process data data science platforms aid. Moreover, increased demand BFSI sector need simplify complexities operations banking finance sector driving theData Science Platformmarket size significantly. Growing numbers bank fraud relating accounting, credit cards, insurance, banking sector contributed substantial market growth. Data science technology helps banking finance companies proactively identify fraud protect clients employees. However, shortage qualified workforce rise data security privacy issues hamper market development. View Full Report: DATA SCIENCE PLATFORM MARKET SHARE ANALYSIS Based Region, North America expected hold largest data science platform market share forecast period. This dominance North America attributed thecapital intensive industries present region. The demand cloud, IoT, edge solutions generates immense data, increasing need advanced data processing technologies. This data processing requirement increasing APAC regions Data Science Platform Market size. In addition, investments major tech firms expected fuel business growth region. Based Geography, Data Science Platform Market studied Americas, AsiaPacific, Europe, Middle East Africa Inquire Regional Data: DATA SCIENCE PLATFORM MARKET SEGMENTATION Based Organization Size, Data Science Platform Market studied Large Enterprises Small MediumSized Enterprises. Based Business Function, Data Science Platform Market studied Customer Support Finance Accounting Logistics Marketing, Sales. Based Industry Vertical, Data Science Platform Market studied Banking, Financial Services, Insurance, Energy Utilities, Government Defense, Healthcare Life Sciences, Manufacturing, Media Entertainment, Retail Ecommerce, Telecom IT, Transportation Logistics. TOP COMPANIES IN THEDATA SCIENCE PLATFORM MARKET Competition global market data science platforms moderate. With advent new data science innovations, vendors improve goods line endusers requirements compete actively global market organic inorganic growth strategies. Top companies theData Science Platform Market include, Altair, Alteryx, Anaconda, Bridgei2i, Cloudera, Databricks, Domino Data Lab, Google, IBM, MathWorks, Microsoft, RapidMiner, Rexer Analytics, SAS Institute, Wolfram. THE REPORT ANSWERS QUESTIONS SUCH AS What market size forecast Global Data Science Platform Market? What inhibiting factors impact COVID19 shaping Global Data Science Platform Market forecast period? Which productssegmentsapplicationsareas invest forecast period Global Data Science Platform Market? What competitive strategic window opportunities Global Data Science Platform Market? What technology trends regulatory frameworks Global Data Science Platform Market? What modes strategic moves considered suitable entering Global Data Science Platform Market? Buy Now Single User: Buy Now Enterprise User: SIMILAR REPORTS Open Source Intelligence Market The global open source intelligence OSINT market size valued USD 5.02 Billion 2018 projected reach USD 29.19 Billion 2026, growing CAGR 24.7 2020 2027. Major factors driving growth Open Source Intelligence Market size include adoption open source intelligence tools different organizations growing demand cloudbased OSINT SMEs. View Full Report: Data Science Machine Learning ML Platforms Market View Full Report: Data Science Platform Services Market View Full Report: ABOUT US: Valuates offers indepth market insights industries. Our extensive report repository constantly updated meet changing industry analysis needs. Our team market analysts help select best report covering industry. We understand niche regionspecific requirements thats offer customization reports. With customization place, request particular information report meets market analysis needs. To achieve consistent view market, data gathered primary secondary sources, step, data triangulation methodologies applied reduce deviance consistent view market. Each sample share contains research methodology employed generate report, Please reach sales team complete list data sources CONTACT US: Valuates Reports[emailprotected] For U.S. TollFree Call 13152153225For IST Call 918040957137WhatsApp : 91 9945648335Website: Twitter Linkedin Facebook SOURCE Valuates Reports Modal title Also source Smart Manufacturing Market Size Projected Reach USD 314,839.... Threat Intelligence Market Size Projected Reach USD... 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https://www.finanznachrichten.de/nachrichten-2020-01/48613495-turkcell-announces-artificial-intelligence-principles-004.htm
2020-01-15T00:00:00
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Turkcell Announces Artificial Intelligence Principles
Turkcell Announces Artificial Intelligence PrinciplesAnzeige❌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?Mittwoch, 15.01.2020 Börsentäglich über 12.000 News von 620 internationalen MedienErweiterteSucheIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Aktien»Nachrichten»TURKCELL AKTIE»Turkcell Announces Artificial Intelligence PrinciplesFN als StartseiteTURKCELL ILETISIM HIZMETLERI AS ADRWKN: 806276 ISIN: US9001112047 Ticker-Symbol: TUL1 Tradegate13.01.2015:32 Uhr5,550 Euro0,0000,00 %NachrichtenAnalysenKurseChartBrancheTelekomAktienmarktSonstige1-Jahres-Chart 5-Tage-Chart RealtimeGeldBriefZeit5,4505,55017:015,5005,55016:11Business Wire15.01.2020 | 16:1692 LeserArtikel bewerten:(0)Turkcell Announces Artificial Intelligence PrinciplesTurkcell (NYSE:TKC) (BIST:TCELL) today announced its AI Principles that commit to the ethical and responsible use of artificial intelligence technologies that will be embedded to core business procedures and technologies. This initiative has made Turkcell one of the key global contributors to AI ethics and the first in Turkey to announce concrete AI principles. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200115005549/en/Turkcell today announced its AI Principles that commit to the ethical and responsible use of artificial intelligence technologies that will be embedded to core business procedures and technologies. (Photo: Business Wire) During the press conference held at Turkcell HQ, the company shared its following principles: "We are human and environment centric", "We are professionally responsible", "We respect data privacy", "We are transparent", "We are security-based", "We are fair", "We share and collaborate for a better future". The company will develop and improve next-generation technologies and services with the foundation of these 7 AI principles and drive beneficial outcomes for the society. Omer Barbaros Yis: "AI should be raised like children and we commit to teach better" Emphasizing that AI reflects the data fed into the system, "AI should be raised like children and we commit to teach better as responsible parents," says Omer Barbaros Yis, Turkcell CMO. "Today we share our principles and our commitment to help AI have socially beneficial impacts for our customers and society at large. We are proud to become the first company to contribute to AI ethics in Turkey. The field will continuously expand and we will witness its transformative impacts in our daily lives. Backed by our experience in digital transformation and creating next-generation technologies, we will continue to drive a positive direction towards its advancement and help overcome public concerns about the field." Serkan Ozturk: "It is crucial to develop AI technologies that understand our language" Demonstrating the substantial distinction between AI applications developed abroad and in Turkey during his speech, "National and local AI algorithms that understand our needs, culture, language and its structure are required to train AI technologies," says Serkan Ozturk, Turkcell CIO. "We use AI technologies almost in every aspect of our core business and drive significant benefits. Out of these efforts, Yaani Assistant's competence to think and understand Turkish will underline its distinction from other assistants after its soon launch." Participants experienced AI-powered "Spread the Green" project which allows Turkcell to plant trees based on the users' smile. Turkcell also conducted emotional analysis test during the press conference. Turkcell Legal and Regulation team conducts international studies in the AI field As a powerful enabler to augment the capability of the society in various areas, AI empowers organizations to satisfy the needs of customers before the need arises, predict and avoid potential malfunctions in systems, and carry out tasks that require high and constant power without an error. With its immense pace in development in the last five years, AI raises powerful questions about degradation of existing jobs, personal data protection and privacy and whether machines will become a thread for the society. With the announcement, Turkcell has added another first to its track and emphasized the positive impacts of AI despite the suspicion and fear for the new generation technology. Turkcell Legal and Regulation team engages in studies with international organizations such as UNICEF, WEF and IEEE to eliminate the concerns related to AI technologies and to drive positive outcomes for the society. Turkcell endeavors and takes an active role in international studies about Global Principles on AI and Child Rights, Principles related to Responsible Use of Facial Recognition Technology and setting the ethical standards for Emotional AI. Turkcell puts the law on the protection of personal data at the center, and emphasizes that AI technologies are an important aspect of fundamental human rights for further improvement. View source version on businesswire.com: https://www.businesswire.com/news/home/20200115005549/en/Contacts:Bugra Kaya Turkcell Corporate Communications Expert [email protected] TURKCELL-Aktie jetzt für 4€ handeln - auf Smartbroker.de© 2020 Business WireNachrichten zu TURKCELL ILETISIM HIZMETLERI AS ADRZeitAktuelle Nachrichten16:16Turkcell Announces Artificial Intelligence PrinciplesTurkcell (NYSE:TKC) (BIST:TCELL) today announced its AI Principles that commit to the ethical and responsible use of artificial intelligence technologies that will be embedded to core business procedures...► Artikel lesen12:23TURKCELL ILETISIM HIZMETLERI A S - 6-K, Report of foreign issuer30.12.19TURKCELL ILETISIM HIZMETLERI A S - 6-K, Report of foreign issuer25.12.19Turkcell Launched Turkey's Email Provider: YaaniMailTurkcell (NYSE:TKC) (BIST:TCELL) today launched Turkey's email provider YaaniMail. Developed in-house by the company's R&D engineers, YaaniMail is available for users regardless of operators, country...► Artikel lesen13.12.19TURKCELL ILETISIM HIZMETLERI A S - 6-K, Report of foreign issuerFirmen im Artikel5-Tage-ChartTURKCELL Unternehmen / AktienKurs%TURKCELL ILETISIM HIZMETLERI AS ADR5,5500,00 %Sie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.608.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetra-OrderbuchAd hoc-MitteilungenNachrichten BörsenAktien-EmpfehlungenBranchenMedienNachrichten-ArchivRSS-News von FinanzNachrichten.dePresseImpressum | AGB | Disclaimer | DatenschutzMediadaten
Turkcell Announces Artificial Intelligence Principles
Turkcell Announces Artificial Intelligence PrinciplesAnzeigeMehr 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?Mittwoch, 15.01.2020 Brsentglich ber 12.000 News von 620 internationalen MedienErweiterteSucheIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:AktienNachrichtenTURKCELL AKTIETurkcell Announces Artificial Intelligence PrinciplesFN als StartseiteTURKCELL ILETISIM HIZMETLERI AS ADRWKN: 806276ISIN: US9001112047TickerSymbol: TUL1Tradegate13.01.2015:32Uhr5,550Euro0,0000,00 NachrichtenAnalysenKurseChartBrancheTelekomAktienmarktSonstige1JahresChart 5TageChart RealtimeGeldBriefZeit5,4505,55017:015,5005,55016:11Business Wire15.01.2020 16:1692 LeserArtikel bewerten:0Turkcell Announces Artificial Intelligence PrinciplesTurkcell NYSE:TKC BIST:TCELL today announced AI Principles commit ethical responsible use artificial intelligence technologies embedded core business procedures technologies. This initiative Turkcell key global contributors AI ethics Turkey announce concrete AI principles. This press release features multimedia. View release here: today announced AI Principles commit ethical responsible use artificial intelligence technologies embedded core business procedures technologies. Photo: Business Wire During press conference held Turkcell HQ, company shared following principles: We human environment centric, We professionally responsible, We respect data privacy, We transparent, We securitybased, We fair, We share collaborate better future. The company develop improve nextgeneration technologies services foundation 7 AI principles drive beneficial outcomes society. Omer Barbaros Yis: AI raised like children commit teach better Emphasizing AI reflects data fed system, AI raised like children commit teach better responsible parents, says Omer Barbaros Yis, Turkcell CMO. Today share principles commitment help AI socially beneficial impacts customers society large. We proud company contribute AI ethics Turkey. The field continuously expand witness transformative impacts daily lives. Backed experience digital transformation creating nextgeneration technologies, continue drive positive direction advancement help overcome public concerns field. Serkan Ozturk: It crucial develop AI technologies understand language Demonstrating substantial distinction AI applications developed abroad Turkey speech, National local AI algorithms understand needs, culture, language structure required train AI technologies, says Serkan Ozturk, Turkcell CIO. We use AI technologies aspect core business drive significant benefits. Out efforts, Yaani Assistants competence think understand Turkish underline distinction assistants soon launch. Participants experienced AIpowered Spread Green project allows Turkcell plant trees based users smile. Turkcell conducted emotional analysis test press conference. Turkcell Legal Regulation team conducts international studies AI field As powerful enabler augment capability society areas, AI empowers organizations satisfy needs customers need arises, predict avoid potential malfunctions systems, carry tasks require high constant power error. With immense pace development years, AI raises powerful questions degradation existing jobs, personal data protection privacy machines thread society. With announcement, Turkcell added track emphasized positive impacts AI despite suspicion fear new generation technology. Turkcell Legal Regulation team engages studies international organizations UNICEF, WEF IEEE eliminate concerns related AI technologies drive positive outcomes society. Turkcell endeavors takes active role international studies Global Principles AI Child Rights, Principles related Responsible Use Facial Recognition Technology setting ethical standards Emotional AI. Turkcell puts law protection personal data center, emphasizes AI technologies important aspect fundamental human rights improvement. View source version : Kaya Turkcell Corporate Communications Expert bugra.kaya TURKCELLAktie jetzt fr 4 handeln auf Smartbroker.de2020Business WireNachrichten zu TURKCELL ILETISIM HIZMETLERI AS ADRZeitAktuelle Nachrichten16:16Turkcell Announces Artificial Intelligence PrinciplesTurkcell NYSE:TKC BIST:TCELL today announced AI Principles commit ethical responsible use artificial intelligence technologies embedded core business procedures... Artikel lesen12:23TURKCELL ILETISIM HIZMETLERI A S 6K, Report foreign issuer30.12.19TURKCELL ILETISIM HIZMETLERI A S 6K, Report foreign issuer25.12.19Turkcell Launched Turkeys Email Provider: YaaniMailTurkcell NYSE:TKC BIST:TCELL today launched Turkeys email provider YaaniMail. Developed inhouse companys RD engineers, YaaniMail available users regardless operators, country... Artikel lesen13.12.19TURKCELL ILETISIM HIZMETLERI A S 6K, Report foreign issuerFirmen im Artikel5TageChartTURKCELL Unternehmen AktienKursTURKCELL ILETISIM HIZMETLERI AS ADR5,5500,00Sie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.608.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetraOrderbuchAd hocMitteilungenNachrichten BrsenAktienEmpfehlungenBranchenMedienNachrichtenArchivRSSNews von FinanzNachrichten.dePresseImpressum AGB Disclaimer DatenschutzMediadaten
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https://www.techjuice.pk/mit-team-develops-ai-that-can-predict-heart-failures-from-chest-x-rays-with-up-to-90-accuracy/
2020-10-05T00:00:00
en
MIT team develops AI that can predict heart failures from chest X-rays with up to 90% accuracy
MIT team develops AI that can predict heart failures from chest X-rays with up to 90% accuracy ✖TopicsStartupsTechnologyCryptocurrencyNEWMobileEducationNEWOnline EarningOpinionsProductivityQuick TipsShoppingMobiles PricesSamsungAppleQMobileXiaomiHuaweiOppoGoogleInfinixHTCLGMotorolaNokiaOnePlusSonyTecnoVivoWritersAli LeghariAli RazaAsra RizwanFatima RizwanMaheen KanwalMaryam DodhyMuneeb AhmadSajeel SyedShehryar AhmedShaheryar EhsanShaoor MunirTalha HameedTalha SaqibUzair KhalidSpecial FeaturesNEWRapid HireGirls Can CodeTelenor Velocity25 under 2525 under 25 – 201725 under 25 – 2018NEWTopicsTechnologyMobileStartupsEducationCryptocurrencyQuick TipsShoppingOnline EarningMobile PriceSamsungAppleQMobileOppoHTCHuaweiInfinixNokiaOnePlusXiaomiHTCTecnoSonyMoreGirls Can Code25 under 25About UsAdvertiseContact UsOur Ethical Statement TechJuice > News > MIT team develops AI that can predict heart failures from chest X-rays with up to 90% accuracyMIT team develops AI that can predict heart failures from chest X-rays with up to 90% accuracyBy Hamza Zakir on October 5, 2020  -   Like us now!   0share Facebook Twitter LinkedIn WhatsApp GmailHeart failures are complex conditions, and detecting them accurately can be even more complicated. Manual diagnoses made by doctors are often inaccurate or inconsistent. However, as with most challenging tasks requiring volumes of data, AI can lend a helping hand. An MIT team did just that by developing an AI system capable of analyzing X-rays to accurately anticipate the onset of certain types of heart failures.The team of researchers hailing from the MIT Computer Science and Artificial Intelligence Lab (CSAIL) explained that the by detecting signs of excess fluid in lungs (a condition called pulmonary edema), they can determine heart failure severity on a four-level scale with a high degree of accuracy. This particular edema is one of the most outstanding signs of heart failure, and is normally only visible to the expert eye from an X-ray image. Even experts, however, can sometimes miss out on the subtle features necessary to identify the edema. This leads to inconsistent diagnoses, treatment plans, and a pretty chaotic operation.The CSAIL team solves this problem by developing an AI model that is trained on a massive number of chest radiographs and their associated radiology reports, along with edema severity labels (ranging from 0 to 3, with 3 being the most severe condition). During the inference phase, the model attempts to calculate edema severity from the input image, and even from the given reports.Training the model required a total of 377,110 chest radiographs along with 227,835 associated radiology reports. Once the severity labels were extracted from the reports, and a variety of filters were applied to narrow down the dataset to specific congestive heart failure cases, the team was left with a total of 247,425 image-text pairs for training purposes.The model’s performance was evaluated on hundreds of image-text pairs, with a certified radiologist and a team of domain experts reviewing and correcting the predicted labels as needed. Once trained, the system was able to detect level-3 edemas with an impressive 90% accuracy, and the level-1 and level-2 edemas were classified with 82% and 81% accuracy respectively.“We trained it to minimize the difference between the representations of the X-ray images and the text of the radiology reports, using the reports to improve the image interpretation … These correlations will be valuable for improving search through a large database of X-ray images and reports, to make retrospective analysis even more effective,” explained co-author and Ph.D. student Geeticka Chauhan.×TechJuice for Browser: Get breaking news notifications on your browser. SubscribeLike our stories? Follow our Instagram for pictorial updates.Follow @techjuicepk 0share Facebook Twitter LinkedIn WhatsApp GmailRelatedAI CSAIL heart failure detection MIT previousNew AI models able to predict medical treatment for various cases  random nextPakistan earned $160M+ from IT exports in July 2020 Join 100,000 techies from around the world Trending PostsHow to check or pay your traffic E-Challan onlineThese kids ordered a drone from Daraz only to be scammedHow to apply and renew your driving license online in Pakistan5 laptops that you can buy under 50K easily in PakistanNADRA introduces an SMS service to check CNIC Family TreeLudo Star Hacks: Here's how to always get a six!Learn about cloud computing and get Google swags through #CloudSeekho 2.0How to open an account in United Bank Limited (UBL)Entry-level iPhone 12 rumored to ship with 64GB storage, here’s how much it can costNow Rs. 100 card recharge will credit Rs. 88 to your mobile accountIndustry Press ReleasesCustomers donate PKR 21.5 million through Careem Super App rewards Telenor Microfinance Bank receives US$45 million Equity Injection to continue its Growth on Digital Strategy Careem partners with Coded Minds to Offer Educational Services to its Captains’ Families Telenor Pakistan and National Highways & Motorway Police explore areas of collaboration for improving governance through technology Easypaisa joins hands with Rawalpindi Chamber of Commerce and Industry to facilitate Digital Transactions In cooperation with the World Food Programme (WFP) Careem provides its customers with a chance to Donate and help the People of Beirut Now pay your SNGPL bills directly through Easypaisa ADVERTISEMENTPakistan's premier technology platform covering everything about technology, startups and entrepreneurship.Important LinksAbout UsCareersEthicsContact UsPrivacy PolicySponsor Content for TechJuiceImportant LinksStartup Incubators in PakistanTechJuice 25 under 25 – 2016Top Universities in PakistanAndroid Phone RootingTop UniversitiesGhulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI)Lahore University Of Management Sciences (LUMS)National University of Computer and Emerging Sciences (FAST-NU)National University of Sciences and Technology (NUST)University of Engineering and Technology, Lahore (UET)Mobile PackagesZong Packages Zong Call Packages Zong SMS Packages Zong Internet Packages Zong Device Packages Zong Balance Check Code Zong Advance Balance Code Zong 3G/4G Internet SettingsTelenor Packages Telenor Call Packages Telenor SMS Packages Telenor Internet Packages Telenor Device Packages Telenor Balance Check Code Telenor Advance Balance Code Telenor 3G/4G Internet SettingsMobile PackagesUfone Packages Ufone Call Packages Ufone SMS Packages Ufone Internet Packages Ufone Balance Check Code Ufone Advance Balance Code Ufone 3G/4G Internet SettingsJazz Packages Jazz Call Packages Jazz SMS Packages Jazz Internet Packages Jazz Device Packages Jazz Balance Check Code Jazz Advance Balance Code Jazz 3G/4G Internet Settings Internet & DevicesInternet Packages Fiberlink Internet Packages & Prices Nayatel Internet Packages & Prices StormFiber Internet Packages & Prices PTCL Internet Packages & Prices Internet Devices PTCL Internet Devices Zong Internet Devices Telenor Internet Devices Jazz Internet Devices Copyright © 2018 TechJuice, All Rights Reserved.Designed & Developed by JuiceBees
MIT team develops AI that can predict heart failures from chest X-rays with up to 90% accuracy
MIT team develops AI predict heart failures chest Xrays 90 accuracy TopicsStartupsTechnologyCryptocurrencyNEWMobileEducationNEWOnline EarningOpinionsProductivityQuick TipsShoppingMobiles PricesSamsungAppleQMobileXiaomiHuaweiOppoGoogleInfinixHTCLGMotorolaNokiaOnePlusSonyTecnoVivoWritersAli LeghariAli RazaAsra RizwanFatima RizwanMaheen KanwalMaryam DodhyMuneeb AhmadSajeel SyedShehryar AhmedShaheryar EhsanShaoor MunirTalha HameedTalha SaqibUzair KhalidSpecial FeaturesNEWRapid HireGirls Can CodeTelenor Velocity25 2525 25 201725 25 2018NEWTopicsTechnologyMobileStartupsEducationCryptocurrencyQuick TipsShoppingOnline EarningMobile PriceSamsungAppleQMobileOppoHTCHuaweiInfinixNokiaOnePlusXiaomiHTCTecnoSonyMoreGirls Can Code25 25Advertise UsOur Ethical Statement TechJuice > News > MIT team develops AI predict heart failures chest Xrays 90 accuracyMIT team develops AI predict heart failures chest Xrays 90 accuracyBy Hamza Zakir October 5, 2020 Like 0share Facebook Twitter LinkedIn WhatsApp GmailHeart failures complex conditions, detecting accurately complicated. Manual diagnoses doctors inaccurate inconsistent. However, challenging tasks requiring volumes data, AI lend helping hand. An MIT team developing AI capable analyzing Xrays accurately anticipate onset certain types heart failures.The team researchers hailing MIT Computer Science Artificial Intelligence Lab CSAIL explained detecting signs excess fluid lungs condition called pulmonary edema, determine heart failure severity fourlevel scale high degree accuracy. This particular edema outstanding signs heart failure, normally visible expert eye Xray image. Even experts, however, miss subtle features necessary identify edema. This leads inconsistent diagnoses, treatment plans, pretty chaotic operation.The CSAIL team solves problem developing AI model trained massive number chest radiographs associated radiology reports, edema severity labels ranging 0 3, 3 severe condition. During inference phase, model attempts calculate edema severity input image, given reports.Training model required total 377,110 chest radiographs 227,835 associated radiology reports. Once severity labels extracted reports, variety filters applied narrow dataset specific congestive heart failure cases, team left total 247,425 imagetext pairs training purposes.The models performance evaluated hundreds imagetext pairs, certified radiologist team domain experts reviewing correcting predicted labels needed. Once trained, able detect level3 edemas impressive 90 accuracy, level1 level2 edemas classified 82 81 accuracy respectively.We trained minimize difference representations Xray images text radiology reports, reports improve image interpretation These correlations valuable improving search large database Xray images reports, retrospective analysis effective, explained coauthor Ph.D. student Geeticka Chauhan.TechJuice Browser: Get breaking news notifications browser. Like stories? Follow Instagram pictorial updates.Follow 0share Facebook Twitter LinkedIn WhatsApp GmailRelatedAI CSAIL heart failure detection MITpreviousNew AI models able predict medical treatment cases randomnextPakistan earned 160M IT exports July 2020Join 100,000 techies world Trending PostsHow check pay traffic EChallan onlineThese kids ordered drone Daraz scammedHow apply renew driving license online Pakistan5 laptops buy 50K easily PakistanNADRA introduces SMS service check CNIC Family TreeLudo Star Hacks: Heres sixLearn cloud computing Google swags CloudSeekho 2.0How open account United Bank Limited UBLEntrylevel iPhone 12 rumored ship 64GB storage, heres costNow Rs. 100 card recharge credit Rs. 88 mobile accountIndustry Press ReleasesCustomers donate PKR 21.5 million Careem Super App rewardsTelenor Microfinance Bank receives US45 million Equity Injection continue Growth Digital StrategyCareem partners Coded Minds Offer Educational Services Captains FamiliesTelenor Pakistan National Highways Motorway Police explore areas collaboration improving governance technologyEasypaisa joins hands Rawalpindi Chamber Commerce Industry facilitate Digital TransactionsIn cooperation World Food Programme WFP Careem provides customers chance Donate help People BeirutNow pay SNGPL bills directly EasypaisaADVERTISEMENTPakistans premier technology platform covering technology, startups entrepreneurship.Important LinksCareersEthics UsSponsor Content TechJuiceImportant LinksStartup ubators PakistanTechJuice 25 25 2016Top Universities PakistanAndroid Phone RootingTop UniversitiesGhulam Ishaq Khan Institute Engineering Sciences Technology GIKILahore University Of Management Sciences LUMSNational University Computer Emerging Sciences FASTNUNational University Sciences Technology NUSTUniversity Engineering Technology, Lahore UETMobile PackagesZong Packages Zong Call Packages Zong SMS Packages Zong Internet Packages Zong Device Packages Zong Balance Check Code Zong Advance Balance Code Zong 3G4G Internet SettingsTelenor Packages Telenor Call Packages Telenor SMS Packages Telenor Internet Packages Telenor Device Packages Telenor Balance Check Code Telenor Advance Balance Code Telenor 3G4G Internet SettingsMobile PackagesUfone Packages Ufone Call Packages Ufone SMS Packages Ufone Internet Packages Ufone Balance Check Code Ufone Advance Balance Code Ufone 3G4G Internet SettingsJazz Packages Jazz Call Packages Jazz SMS Packages Jazz Internet Packages Jazz Device Packages Jazz Balance Check Code Jazz Advance Balance Code Jazz 3G4G Internet Settings Internet DevicesInternet Packages Fiberlink Internet Packages Prices Nayatel Internet Packages Prices StormFiber Internet Packages Prices PTCL Internet Packages Prices Internet Devices PTCL Internet Devices Zong Internet Devices Telenor Internet Devices Jazz Internet Devices 2018 TechJuice, .Designed Developed JuiceBees
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https://clarkscarlet.com/uncategorized/68260/latest-report-on-artificial-intelligence-robots-market-is-set-to-experience-revolutionary-growth-with-innovative-technology/
2020-08-24T00:00:00
en
Latest Report On Artificial Intelligence Robots Market – Is Set To Experience Revolutionary Growth with Innovative Technology – The Scarlet
Latest Report On Artificial Intelligence Robots Market – Is Set To Experience Revolutionary Growth with Innovative Technology – The Scarlet The Scarlet Space, Science and Energy Market Energy News Coronavirus Space Contact HomeUncategorizedLatest Report On Artificial Intelligence Robots Market – Is Set To Experience Revolutionary Growth with Innovative Technology Latest Report On Artificial Intelligence Robots Market – Is Set To Experience Revolutionary Growth with Innovative Technology Posted On: August 24, 2020 Posted By: Data Bridge Market Research Comments: 0 “Global Artificial Intelligence Robots Market Report” the new research report adds in Data Bridge Market Research’s reports database. This Research Report spread across 329 Page, 53 No of Tables, And 244 No of Figures with summarizing Top companies, COVID-19 impacts and supports with tables and figures. An ever-increasing competition has kept many challenges in front of businesses. To beat these challenges and ride fast in the industry, This market research report is the key. This market research report brings into focus the key market dynamics of the sector. The report also estimates CAGR (compound annual growth rate) values along with its fluctuations for the definite forecast period. The report also displays the analysis and estimation of important industry trends, market size, and market share. The estimations of CAGR values are also provided in this report which helps businesses in deciding upon the investment value over the time period. This report provides key measurements, status of the manufacturers and is a significant source of direction for the businesses and organizations. This market research report highlights the most important market insights that take the business to the highest level of growth and success. Market segmentation gives clear idea about the product consumption based on several factors that includes but are not limited to type, application, deployment model, end user and geographical region. It is the necessity of this rapidly changing market place to adopt such market report that makes aware about the market conditions around. The Global Artificial Intelligence Robots Market accounted for USD 3.0 billion in 2017 and is projected to grow at a CAGR of 30.1% forecast to 2025. For In-Depth Review of Artificial Intelligence Robots Market Get Free Sample (Including Full TOC, Table & Figures) @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-robots-market This large scale Artificial Intelligence Robots market analysis report contains a comprehensive overview of definitions, scope, application, production and CAGR (%) comparison, segmentation by type, share, revenue status and outlook, capacity, consumption, market drivers, production status and outlook and opportunities, export, import, emerging markets/countries growth rate. The report gives a holistic overview of the growth and other aspects of this industry in vital countries (regions). The regions provided in this report show the geographical boundaries across the globe. The Artificial Intelligence Robots report gives some decisive information of the market strategies that assist to gain profitable growth during its forecasted period. This report highlights numerous industry verticals such as company profile, contact details of manufacturer, product specifications, geographical scope, production value, market structures, recent developments, revenue analysis, market shares and possible sales volume of the company Company Coverage (Company Profile, Sales Revenue, Price, Gross Margin, Main Products etc.): – The renowned players in artificial intelligence robots market are Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook Inc., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries. 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. Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in Artificial Intelligence Robots Market various segments and emerging territory. **Moreover, it will also include the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product services of key players** Why Data Bridge Market Research? Analyst Support: Get you query resolved from our expert analysts before and after purchasing the report. Assured Quality: We focus on the quality and accuracy of the report Technically acclaimed Analysts with complete industry know how Robust research methodology followed by our publishers to arrive at market estimates, Focus on technology trends, Extensive repository of market research reports to meet our client’s needs. Based on extensive research, we provide clear view of real market scenario and help clients with making informed business decisions Customer’s Satisfaction: Our expert team will assist with all your research needs and customize the report. Inimitable Expertise: Analysts will provide deep insights about the reports Global major countries (United States, Canada, Germany, France, UK, Italy, Russia, Spain, China, Japan, Korea, India, Australia, New Zealand, Southeast Asia, Middle East, Africa, Mexico, Brazil, C. America, Chile, Peru, Colombia) market size (sales, revenue and growth rate) of Artificial Intelligence Robots industry Major Segmentation: Artificial Intelligence Robots Market Global Artificial Intelligence Robots Market, By Robots (Services , Industrial), By Offering (Hardware , Software), By Technology (Machine Learning, Context-Aware Computing ,Others),By End User Industry (Healthcare, Manufacturing, Education, Others), By Geographical Segments (North America, South America, Europe, Asia-Pacific, Middle East and Africa) Global Artificial Intelligence Robots Market: Regional Analysis Asia Pacific: China, Japan, India, and Rest of Asia Pacific Europe: Germany, the UK, France, and Rest of Europe North America: The US, Mexico, and Canada Latin America: Brazil and Rest of Latin America Middle East & Africa: GCC Countries and Rest of Middle East & Africa Obtain Premium Research Report Details, Considering the impact of COVID-19 @ https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-robots-market?AM Major factors covered in the report: **Global Artificial Intelligence Robots Market summary **Economic Impact on the Industry **Market Competition in terms of Manufacturers **Production, Revenue (Value) by geographical segmentation **Production, Revenue (Value), Price Trend by Type **Market Analysis by Application **Cost Investigation **Industrial Chain, Raw material sourcing strategy and Downstream Buyers **Marketing Strategy comprehension, Distributors and Traders **Study on Market Research Factors **Global Artificial Intelligence Robots Market Forecast How Research Study of DBMR helps clients in their decision making: **Creating strategies for new product development **Supporting & Adjust Investment/business decisions **Benchmark and judge own competitiveness **Aiding in the business planning process **Serving as a credible, independent check on company internal forecasts **Supporting acquisition strategies Below is the TOC of the report: Executive Summary Assumptions and Acronyms Used Research Methodology Artificial Intelligence Robots Market Overview Artificial Intelligence Robots Supply Chain Analysis Artificial Intelligence Robots Pricing Analysis Global Artificial Intelligence Robots Market Analysis and Forecast by Type Global Artificial Intelligence Robots Market Analysis and Forecast by Application Global Artificial Intelligence Robots Market Analysis and Forecast by Sales Channel Global Artificial Intelligence Robots Market Analysis and Forecast by Region North America Artificial Intelligence Robots Market Analysis and Forecast Latin America Artificial Intelligence Robots Market Analysis and Forecast Europe Artificial Intelligence Robots Market Analysis and Forecast Asia Pacific Artificial Intelligence Robots Market Analysis and Forecast Middle East & Africa Artificial Intelligence Robots Market Analysis and Forecast Competition Landscape Get Latest Free TOC Of This Report @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-robots-market About Data Bridge Market Research: 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. Data bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune. Contact: Data Bridge Market Research US: +1 888 387 2818 UK: +44 208 089 1725 Hong Kong: +852 8192 7475 [email protected]       Post navigation Prev PostNext Post Leave a Reply Cancel replyYour email address will not be published. Required fields are marked *Comment Name * Email * Website Recent Posts Impact Of Covid-19 On Peanuts Market 2020 Analysis By Geographical Regions, Type And Application Till 2027 With Top Key Players: China, India, Nigeria, United States, Sudan, Tanzania, Argentina, Myanmar, Chad, Senegal, Indonesia, Cameroon, Mali, Vietnam, Ghana Hard Seltzer Market to Witness Huge Growth by 2025 | Barefoot Cellars, Blue Marble, Boathouse Beverage Immunohistochemistry Market 2020: Consumption, Trends, Growth, Types,Industrial Applications, Leading Companies & Forecast till 2026 Portable X-Ray Equipment for Security Purposes Market Report, History And Forecast 2020-2027, Breakdown Data By Manufacturers, Key Regions, Types And Application Adhesive Tapes Market Covering Prime Factors and Competitive Outlook Till 2029 Recent CommentsGlobal Automotive Fabric Market 2020 (Includes Business Impact of COVID-19) – The Scarlet – Airb.ag – Airbag Latest News on Global Automotive Fabric Market 2020 (Includes Business Impact of COVID-19)Global Automotive Mats Market 2020 (Includes Business Impact of COVID-19) – The Scarlet – Airb.ag – Airbag Latest News on Global Automotive Mats Market 2020 (Includes Business Impact of COVID-19)Global Automotive Keyless Entry System Market 2020 (Includes Business Impact of COVID-19) – The Scarlet – Airb.ag – Airbag Latest News on Global Automotive Keyless Entry System Market 2020 (Includes Business Impact of COVID-19)Global Automotive Occupant Sensing System Market 2020 (Includes Business Impact of COVID-19) – The Scarlet – Airb.ag – Airbag Latest News on Global Automotive Occupant Sensing System Market 2020 (Includes Business Impact of COVID-19)Global cosmetic surgery market size was USD 50.67 billion in 2018 and is projected to reach USD 66.96 billion by 2026, exhibiting a CAGR of 3.6%… – Blepharoplasty on Global cosmetic surgery market size was USD 50.67 billion in 2018 and is projected to reach USD 66.96 billion by 2026, exhibiting a CAGR of 3.6% during the forecast period.Archives August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 Categories Coronavirus Energy News Space Uncategorized Meta Log in Entries feed Comments feed WordPress.org The Scarlet by Everestthemes
Latest Report On Artificial Intelligence Robots Market
Latest Report On Artificial Intelligence Robots Market Is Set To Experience Revolutionary Growth Innovative Technology The Scarlet The Scarlet Space, Science Energy Market Energy News Coronavirus Space HomeUncategorizedLatest Report On Artificial Intelligence Robots Market Is Set To Experience Revolutionary Growth Innovative Technology Latest Report On Artificial Intelligence Robots Market Is Set To Experience Revolutionary Growth Innovative Technology Posted On: August 24, 2020 Posted By: Data Bridge Market Research Comments: 0 Global Artificial Intelligence Robots Market Report new research report adds Data Bridge Market Researchs reports database. This Research Report spread 329 Page, 53 No Tables, And 244 No Figures summarizing Top companies, COVID19 impacts supports tables figures. An everincreasing competition kept challenges businesses. To beat challenges ride fast industry, This market research report key. This market research report brings focus key market dynamics sector. The report estimates CAGR compound annual growth rate values fluctuations definite forecast period. The report displays analysis estimation important industry trends, market size, market share. The estimations CAGR values provided report helps businesses deciding investment value time period. This report provides key measurements, status manufacturers significant source direction businesses organizations. This market research report highlights important market insights business highest level growth success. Market segmentation gives clear idea product consumption based factors includes limited type, application, deployment model, end user geographical region. It necessity rapidly changing market place adopt market report makes aware market conditions around. The Global Artificial Intelligence Robots Market accounted USD 3.0 billion 2017 projected grow CAGR 30.1 forecast 2025. For InDepth Review Artificial Intelligence Robots Market Get Free Sample luding Full TOC, Table Figures @ This large scale Artificial Intelligence Robots market analysis report contains comprehensive overview definitions, scope, application, production CAGR comparison, segmentation type, share, revenue status outlook, capacity, consumption, market drivers, production status outlook opportunities, export, import, emerging marketscountries growth rate. The report gives holistic overview growth aspects industry vital countries regions. The regions provided report geographical boundaries globe. The Artificial Intelligence Robots report gives decisive information market strategies assist gain profitable growth forecasted period. This report highlights numerous industry verticals company profile, contact details manufacturer, product specifications, geographical scope, production value, market structures, recent developments, revenue analysis, market shares possible sales volume company Company Coverage Company Profile, Sales Revenue, Price, Gross Margin, Main Products etc.: The renowned players artificial intelligence robots market Welltok, ., Intel Corporation, Nvidia Corporation, Google ., IBM Corporation, Microsoft Corporation, General Vision, Enlitic, ., Next IT Corporation, iCarbonX, Amazon Web Services, Apple, Facebook ., Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, ., Lifegraph, Sense.ly, ., Zebra Medical Vision, ., Baidu, ., H2O ai, Enlitic, . Raven Industries. The report inspects financial standing leading companies, includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, financial ratios. Keep uptodate latest market trends changing dynamics COVID Impact Economic Slowdown globally. Maintain competitive edge sizing available business opportunity Artificial Intelligence Robots Market segments emerging territory. Moreover, include opportunities available micro markets stakeholders invest, detailed analysis competitive landscape product services key players Why Data Bridge Market Research? Analyst Support: Get query resolved expert analysts purchasing report. Assured Quality: We focus quality accuracy report Technically acclaimed Analysts complete industry know Robust research methodology followed publishers arrive market estimates, Focus technology trends, Extensive repository market research reports meet clients needs. Based extensive research, provide clear view real market scenario help clients making informed business decisions Customers Satisfaction: Our expert team assist research needs customize report. Inimitable Expertise: Analysts provide deep insights reports Global major countries United States, Canada, Germany, France, UK, Italy, Russia, Spain, China, Japan, Korea, India, Australia, New Zealand, Southeast Asia, Middle East, Africa, Mexico, Brazil, C. America, Chile, Peru, Colombia market size sales, revenue growth rate Artificial Intelligence Robots industry Major Segmentation: Artificial Intelligence Robots Market Global Artificial Intelligence Robots Market, By Robots Services , Industrial, By Offering Hardware , Software, By Technology Machine Learning, ContextAware Computing ,Others,By End User Industry Healthcare, Manufacturing, Education, Others, By Geographical Segments North America, South America, Europe, AsiaPacific, Middle East Africa Global Artificial Intelligence Robots Market: Regional Analysis Asia Pacific: China, Japan, India, Rest Asia Pacific Europe: Germany, UK, France, Rest Europe North America: The US, Mexico, Canada Latin America: Brazil Rest Latin America Middle East Africa: GCC Countries Rest Middle East Africa Obtain Premium Research Report Details, Considering impact COVID19 @ Major factors covered report: Global Artificial Intelligence Robots Market summary Economic Impact Industry Market Competition terms Manufacturers Production, Revenue Value geographical segmentation Production, Revenue Value, Price Trend Type Market Analysis Application Cost Investigation Industrial Chain, Raw material sourcing strategy Downstream Buyers Marketing Strategy comprehension, Distributors Traders Study Market Research Factors Global Artificial Intelligence Robots Market Forecast How Research Study DBMR helps clients decision making: Creating strategies new product development Supporting Adjust Investmentbusiness decisions Benchmark judge competitiveness Aiding business planning process Serving credible, independent check company internal forecasts Supporting acquisition strategies Below TOC report: Executive Summary Assumptions Acronyms Used Research Methodology Artificial Intelligence Robots Market Overview Artificial Intelligence Robots Supply Chain Analysis Artificial Intelligence Robots Pricing Analysis Global Artificial Intelligence Robots Market Analysis Forecast Type Global Artificial Intelligence Robots Market Analysis Forecast Application Global Artificial Intelligence Robots Market Analysis Forecast Sales Channel Global Artificial Intelligence Robots Market Analysis Forecast Region North America Artificial Intelligence Robots Market Analysis Forecast Latin America Artificial Intelligence Robots Market Analysis Forecast Europe Artificial Intelligence Robots Market Analysis Forecast Asia Pacific Artificial Intelligence Robots Market Analysis Forecast Middle East Africa Artificial Intelligence Robots Market Analysis Forecast Competition Landscape Get Latest Free TOC Of This Report @ About Data Bridge Market Research: Data Bridge set forth unconventional neoteric Market research consulting firm unparalleled level resilience integrated approaches. We determined unearth best market opportunities foster efficient information business thrive market. Data Bridge endeavors provide appropriate solutions complex business challenges initiates effortless decisionmaking process. Data bridge aftermath sheer wisdom experience formulated framed year 2015 Pune. : Data Bridge Market Research US: 1 888 387 2818 UK: 44 208 089 1725 Hong Kong: 852 8192 7475 [emailprotected] Post navigation Prev PostNext Post Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Recent Posts Impact Of Covid19 On Peanuts Market 2020 Analysis By Geographical Regions, Type And Application Till 2027 With Top Key Players: China, India, Nigeria, United States, Sudan, Tanzania, Argentina, Myanmar, Chad, Senegal, Indonesia, Cameroon, Mali, Vietnam, Ghana Hard Seltzer Market Witness Huge Growth 2025 Barefoot Cellars, Blue Marble, Boathouse Beverage Immunohistochemistry Market 2020: Consumption, Trends, Growth, Types,Industrial Applications, Leading Companies Forecast till 2026 Portable XRay Equipment Security Purposes Market Report, History And Forecast 20202027, Breakdown Data By Manufacturers, Key Regions, Types And Application Adhesive Tapes Market Covering Prime Factors Competitive Outlook Till 2029 Recent CommentsGlobal Automotive Fabric Market 2020 ludes Business Impact COVID19 The Scarlet Airb.ag Airbag Latest News Global Automotive Fabric Market 2020 ludes Business Impact COVID19Global Automotive Mats Market 2020 ludes Business Impact COVID19 The Scarlet Airb.ag Airbag Latest News Global Automotive Mats Market 2020 ludes Business Impact COVID19Global Automotive Keyless Entry System Market 2020 ludes Business Impact COVID19 The Scarlet Airb.ag Airbag Latest News Global Automotive Keyless Entry System Market 2020 ludes Business Impact COVID19Global Automotive Occupant Sensing System Market 2020 ludes Business Impact COVID19 The Scarlet Airb.ag Airbag Latest News Global Automotive Occupant Sensing System Market 2020 ludes Business Impact COVID19Global cosmetic surgery market size USD 50.67 billion 2018 projected reach USD 66.96 billion 2026, exhibiting CAGR 3.6 Blepharoplasty Global cosmetic surgery market size USD 50.67 billion 2018 projected reach USD 66.96 billion 2026, exhibiting CAGR 3.6 forecast period.Archives August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 Categories Coronavirus Energy News Space Uncategorized Meta Log Entries feed Comments feed The Scarlet Everestthemes
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Global Artificial Intelligence (AI) for Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type and Application, Global Forecast To 2026 – Cole Reports
Global Artificial Intelligence (AI) for Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type and Application, Global Forecast To 2026 – Cole Reports Skip to content Cole Reports Cole Market Research Market Reports Industry Analysis Military News Space Technology Satellites Coronavirus News Contact Us Search for: Global Artificial Intelligence (AI) for Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type and Application, Global Forecast To 2026 May 2, 2020 reportocean Global Artificial Intelligence (AI) for Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type and Application, Global Forecast To 2026 The latest report on Global Artificial Intelligence (AI) for Telecommunication Market now available at Report Ocean, explains the contemporary and upcoming trends besides details associated with the regional landscape of the artificial intelligence (ai) for telecommunication market that includes several regions. The report further emphasizes intricate details regarding the demand and supply analysis, contributions by leading industry players and market share growth of the artificial intelligence (ai) for telecommunication market industry. The recent report about the artificial intelligence (ai) for telecommunication market offers a thorough evaluation of the business vertical alongside an overview of the industry segments. An approximate estimation of the present industry scenario is delivered in the report whereas the artificial intelligence (ai) for telecommunication market size with regards to the revenue and volume is also mentioned in the report. Generally, the report is a collection of important data with respect to the competitive landscape of this vertical and regions where the business has successfully established its position. Request Free Sample Report at https://www.reportocean.com/industry-verticals/sample-request?report_id=43415 For estimating the market size, an ideal mixture of top-down and bottom-up approaches were employed. The top-down approach was used for analyzing penetration level and for new product forecasting. It included the use of several penetration models, regression multi-variate analysis for forecasting, and exhaustive use of public and paid databases. In addition, the bottom-up approach included demand evaluation of each product across regions and countries and summed to form the global market. The demand evaluation was performed by using variable analysis for forecasting, analyzing paid databases, and conducting primary interviews for data revaluation. This report is based on synthesis, analysis, and interpretation of information gathered regarding the artificial intelligence (ai) for telecommunication market from various sources. Our analysts have analyzed the information and data and gained insights using a mix of primary and secondary research efforts with the primary objective to provide a holistic view of the artificial intelligence (ai) for telecommunication market. In addition, an in-house study has been made of the global economic conditions and other economic indicators and factors to assess their respective impact on the artificial intelligence (ai) for telecommunication market historically, as well as the current impact in order to make informed forecasts about the scenarios in future. Some major parameters were considered to forecast the current estimates of the Market: • Market driving trends • Predicted opportunities • Challenges and restraints to be faced • Technological developments in artificial intelligence (ai) for telecommunication market • Other developments, e.g. Infrastructural • Consumer preferences • Government regulations • Consumer spending dynamics and trends Market Overview The report includes detailed information about market drivers, restraints, challenges, threats, and potential growth opportunities of artificial intelligence (ai) for telecommunication market. The report consists of precise qualitative information such as Porter’s five forces, PESTLE Analysis, and value chain analysis. Competitive Landscape: Geographically, artificial intelligence (ai) for telecommunication market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer. The competitive analysis of leading market players is another notable feature of the artificial intelligence (ai) for telecommunication market report; it identifies direct or indirect competitors in the market. The report offers company profile of market players alongside product picture and it’s specifications, artificial intelligence (ai) for telecommunication market plans, and technology adopted by them, future development plans. In addition, strength and weaknesses analysis of artificial intelligence (ai) for telecommunication market competitive firms gives competitive advantages so that the efficiency and the productivity of companies are improved. Market Segmentation: The segmentation is used to decide the target market into smaller sections or segments like product type, application, and geographical regions to optimize marketing strategies, advertising technique and global as well as regional sales efforts of artificial intelligence (ai) for telecommunication market. The common characters are also being considered for segmentation such as global market share, common interests, worldwide demand and supply of Access Control devices. Moreover, the report compares the production value and growth rate of artificial intelligence (ai) for telecommunication market across different geographies. Geographical Analysis: Global Artificial Intelligence (AI) for Telecommunication Market Segment by Regions Consists: • North America (U.S. and Canada) • Europe (UK, Germany, France, Russia, Italy and Rest of Europe) • Asia-Pacific (China, Japan, India, Korea, and Rest of Asia-Pacific) • South America (Brazil, Argentina, Mexico, and Rest of South America) • The Middle East and Africa (GCC Countries, Egypt, South Africa, and Rest of MEA) Some of the Major Highlights of TOC covers: Development Trend of Analysis of artificial intelligence (ai) for telecommunication market • Global Artificial Intelligence (AI) for Telecommunication Market Trend Analysis • Global Artificial Intelligence (AI) for Telecommunication Market Size (Volume and Value) Forecast 2020-2026 Marketing Channel • Direct Marketing • Indirect Marketing • Global Artificial Intelligence (AI) for Telecommunication Market Customers Manufacturing Cost Structure Analysis • Raw Material and Suppliers • Manufacturing Cost Structure Analysis of artificial intelligence (ai) for telecommunication market • Manufacturing Process Analysis of artificial intelligence (ai) for telecommunication market • Industry Chain Structure of artificial intelligence (ai) for telecommunication market Development and Manufacturing Plants Analysis of artificial intelligence (ai) for telecommunication market • Capacity and Commercial Production Date • Global artificial intelligence (ai) for telecommunication market Manufacturing Plants Distribution • Major Manufacturers Technology Source and Market Position of artificial intelligence (ai) for telecommunication market • Recent Development and Expansion Plans Key Figures of Major Manufacturers • Global Artificial Intelligence (AI) for Telecommunication Market Production and Capacity Analysis • Global Artificial Intelligence (AI) for Telecommunication Market Revenue Analysis • Global Artificial Intelligence (AI) for Telecommunication Market Price Analysis • Market Concentration Degree Key Question Answered in Report: • What are the strengths and weaknesses of the artificial intelligence (ai) for telecommunication market? • What are the different marketing and distribution channels? • What is the current CAGR of the artificial intelligence (ai) for telecommunication market? • What are the artificial intelligence (ai) for telecommunication market opportunities in front of the market? • What are the highest competitors in artificial intelligence (ai) for telecommunication market? • What are the key outcomes of SWOT and Porter’s five techniques? • What is the artificial intelligence (ai) for telecommunication market size and growth rate in the forecast period? For more information and discount on this report, ask your query at: https://www.reportocean.com/industry-verticals/sample-request?report_id=43415 Note: The report historic years and forecast period can be customized on the request. Moreover, the scope of a published report can be modified as per the requirement, specific geography or ‘country-based’ analysis can be provided as a part of customization Contact: +1 888 212 3539 (US) +91-9997112116 (Outside US) Contact Person: Nick Martin Email: [email protected]   Post navigation Impressive Trends and Future Scope of Handheld DNA Reader MarketGlobal Stone Paper Market 2020 | What Is The Estimated Market Size In The Upcoming Years? reportocean VIEW ALL POSTS BY reportocean Pages About Us Contact Us Our Staff Privacy Policy Search for: Recent Posts Global Non-profit CRM Software Market 2020 Growth, Innovations, Demand, Size, Revenue, Emerging Trends, Players, Type, Applications, New Development and Forecast 2026 Research on Online Crowdfunding Platform Market (impact of COVID-19) with Top Players: GoFundMe, Indiegogo, Kickstarter, Patreon, Teespring, Crowdcube. Electrical Digital Twin Market 2020 Analysis by Global Manufacturers – Siemens, Bentley Systems, ABB, SAP, Emerson, AVEVA, Elabo, GE Addressing the potential impact of coronavirus disease (COVID-19) on Pulse Width Modulation (PWM) Controllers Market : Global Analysis and Opportunity Assessment 2019-2057 Diagnostic Electrocardiography Devices Market 2020 Size By Product Types, End-Users, Regional Outlook, Growth Potential, Price Trends And Forecast To 2026 | DataIntelo Theme of Rigorous Themes About Us Privacy Policy Our Staff Contact Us
Global Artificial Intelligence (AI) for Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type and Application, Global Forecast To 2026
Global Artificial Intelligence AI Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type Application, Global Forecast To 2026 Cole Reports Skip content Cole Reports Cole Market Research Market Reports Industry Analysis Military News Space Technology Satellites Coronavirus News Us for: Global Artificial Intelligence AI Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type Application, Global Forecast To 2026 May 2, 2020 reportocean Global Artificial Intelligence AI Telecommunication Market Outlook, Strategies, Manufacturers, Countries, Type Application, Global Forecast To 2026 The latest report Global Artificial Intelligence AI Telecommunication Market available Report Ocean, explains contemporary upcoming trends details associated regional landscape artificial intelligence ai telecommunication market includes regions. The report emphasizes intricate details demand supply analysis, contributions leading industry players market share growth artificial intelligence ai telecommunication market industry. The recent report artificial intelligence ai telecommunication market offers thorough evaluation business vertical alongside overview industry segments. An approximate estimation present industry scenario delivered report artificial intelligence ai telecommunication market size regards revenue volume mentioned report. Generally, report collection important data respect competitive landscape vertical regions business successfully established position. Request Free Sample Report For estimating market size, ideal mixture topdown bottomup approaches employed. The topdown approach analyzing penetration level new product forecasting. It included use penetration models, regression multivariate analysis forecasting, exhaustive use public paid databases. In addition, bottomup approach included demand evaluation product regions countries summed form global market. The demand evaluation performed variable analysis forecasting, analyzing paid databases, conducting primary interviews data revaluation. This report based synthesis, analysis, interpretation information gathered artificial intelligence ai telecommunication market sources. Our analysts analyzed information data gained insights mix primary secondary research efforts primary objective provide holistic view artificial intelligence ai telecommunication market. In addition, inhouse study global economic conditions economic indicators factors assess respective impact artificial intelligence ai telecommunication market historically, current impact order informed forecasts scenarios future. Some major parameters considered forecast current estimates Market: Market driving trends Predicted opportunities Challenges restraints faced Technological developments artificial intelligence ai telecommunication market Other developments, e.g. Infrastructural Consumer preferences Government regulations Consumer spending dynamics trends Market Overview The report includes detailed information market drivers, restraints, challenges, threats, potential growth opportunities artificial intelligence ai telecommunication market. The report consists precise qualitative information Porters forces, PESTLE Analysis, value chain analysis. Competitive Landscape: Geographically, artificial intelligence ai telecommunication market competition manufacturers, production, price, revenue value market share manufacturer. The competitive analysis leading market players notable feature artificial intelligence ai telecommunication market report; identifies direct indirect competitors market. The report offers company profile market players alongside product picture specifications, artificial intelligence ai telecommunication market plans, technology adopted them, future development plans. In addition, strength weaknesses analysis artificial intelligence ai telecommunication market competitive firms gives competitive advantages efficiency productivity companies improved. Market Segmentation: The segmentation decide target market smaller sections segments like product type, application, geographical regions optimize marketing strategies, advertising technique global regional sales efforts artificial intelligence ai telecommunication market. The common characters considered segmentation global market share, common interests, worldwide demand supply Access Control devices. Moreover, report compares production value growth rate artificial intelligence ai telecommunication market different geographies. Geographical Analysis: Global Artificial Intelligence AI Telecommunication Market Segment Regions Consists: North America U.S. Canada Europe UK, Germany, France, Russia, Italy Rest Europe AsiaPacific China, Japan, India, Korea, Rest AsiaPacific South America Brazil, Argentina, Mexico, Rest South America The Middle East Africa GCC Countries, Egypt, South Africa, Rest MEA Some Major Highlights TOC covers: Development Trend Analysis artificial intelligence ai telecommunication market Global Artificial Intelligence AI Telecommunication Market Trend Analysis Global Artificial Intelligence AI Telecommunication Market Size Volume Value Forecast 20202026 Marketing Channel Direct Marketing Indirect Marketing Global Artificial Intelligence AI Telecommunication Market Customers Manufacturing Cost Structure Analysis Raw Material Suppliers Manufacturing Cost Structure Analysis artificial intelligence ai telecommunication market Manufacturing Process Analysis artificial intelligence ai telecommunication market Industry Chain Structure artificial intelligence ai telecommunication market Development Manufacturing Plants Analysis artificial intelligence ai telecommunication market Capacity Commercial Production Date Global artificial intelligence ai telecommunication market Manufacturing Plants Distribution Major Manufacturers Technology Source Market Position artificial intelligence ai telecommunication market Recent Development Expansion Plans Key Figures Major Manufacturers Global Artificial Intelligence AI Telecommunication Market Production Capacity Analysis Global Artificial Intelligence AI Telecommunication Market Revenue Analysis Global Artificial Intelligence AI Telecommunication Market Price Analysis Market Concentration Degree Key Question Answered Report: What strengths weaknesses artificial intelligence ai telecommunication market? What different marketing distribution channels? What current CAGR artificial intelligence ai telecommunication market? What artificial intelligence ai telecommunication market opportunities market? What highest competitors artificial intelligence ai telecommunication market? What key outcomes SWOT Porters techniques? What artificial intelligence ai telecommunication market size growth rate forecast period? For information discount report, ask query at: Note: The report historic years forecast period customized request. Moreover, scope published report modified requirement, specific geography countrybased analysis provided customization : 1 888 212 3539 US 919997112116 Outside US Person: Nick Martin Email:[emailprotected] Post navigation Impressive Trends Future Scope Handheld DNA Reader MarketGlobal Stone Paper Market 2020 What Is The Estimated Market Size In The Upcoming Years? reportocean VIEW ALL POSTS BY reportocean Pages Us Our Staff for: Recent Posts Global Nonprofit CRM Software Market 2020 Growth, Innovations, Demand, Size, Revenue, Emerging Trends, Players, Type, Applications, New Development Forecast 2026 Research Online Crowdfunding Platform Market impact COVID19 Top Players: GoFundMe, Indiegogo, Kickstarter, Patreon, Teespring, Crowdcube. 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