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IBM Watson
Watson is a question answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci. Watson was named after IBM's first CEO and industrialist Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy!. In 2011, Watson competed on Jeopardy! against former winners Brad Rutter and Ken Jennings. Watson received the first place prize of $1 million. Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage including the full text of Wikipedia, but was not connected to the Internet during the game. For each clue, Watson's three most probable responses were displayed on the television screen. Watson consistently outperformed its human opponents on the game's signaling device, but had trouble in a few categories, notably those having short clues containing only a few words. In February 2013, IBM announced that Watson software system's first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center in conjunction with health insurance company WellPoint. IBM Watson's former business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance.
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United States 2011 Public NYSE: IBM $1-10b 1,001 - 10,000 Open website IBM - TECHNOLOGY STACK
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IBM Watson’s Tech Stack maps IBM Watson’s participation in the IoT tech stack.
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Application Layer
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Functional Applications
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Cloud Layer
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Platform as a ServiceInfrastructure as a Service
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Edge Layer
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Automation & ControlProcessors & Edge IntelligenceActuatorsSensors
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Devices Layer
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RobotsDronesWearables
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Analytics & ModelingApplication Infrastructure & MiddlewareCybersecurity & PrivacyNetworks & Connectivity
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IBM Watson’s IoT Snapshot maps the range and focus areas of IBM Watson’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.TechnologiesAnalytics & ModelingBig Data AnalyticsMachine LearningNatural Language Processing (NLP)Computer Vision SoftwareApplication Infrastructure & MiddlewareAPI Integration & ManagementBlockchainData VisualizationCybersecurity & PrivacyCloud SecurityIdentity & Authentication ManagementFunctional ApplicationsRemote Monitoring & Control SystemsPlatform as a Service (PaaS)Data Management PlatformsUse CasesRemote Patient MonitoringFunctionsBusiness OperationIndustriesElectronicsFinance & InsuranceHealthcare & HospitalsServicesSystem Integration
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Watson has come a long way since it won on the American quiz show Jeopardy! in 2011. Back then, it did one thing: natural language Q&A, powered by five technologies. Today, Q&A is just one of more than 30 Watson capabilities—all of which have been turned into digital services, or Application Programming Interfaces (APIs), delivered via the cloud. This means that we can literally build cognition into everything digital. With Watson, every digital application, product and process can understand, reason and learn. You can see why cognitive is becoming the heart of our solutions businesses. What started as one Watson unit is now a growing family: the core Watson team, which continues to build new capabilities and nurture its expanding ecosystem; and individual Watson businesses, aimed at particular industries or professional domains, such as IBM Watson Health and IBM Watson Internet of Things. Each business brings together Watson capabilities with industry expertise, vast data sets and an ecosystem of partners and clients, and each is powered by the IBM Cloud.
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IBM Watson: Harnessing real-time data to give a holistic picture of patient healthEvery day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.IBM Watson: Next Generation Flight Management SystemsTo develop its next-generation flight management systems, CMC sought a new object-oriented, model-based process that would help comply with the DO-178C and ARP 4754A/4761 aviation industry standards.Over the years, CMC has developed a comprehensive range of FMS products, designed to meet the specific needs of different sectors of the aviation market. The benefit of this approach was that each product satisfied a unique set of requirements – but from a systems and software engineering perspective, it takes more time and effort to develop and maintain separate software for each target market.
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- SIMILAR SUPPLIERS
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Dell TechnologiesDell Technologies is Dell, Dell EMC, Pivotal, RSA, SecureWorks, Virtustream, and VMware. We’re a collective force of innovative capabilities trusted all over the world to provide technology solutions and services that accelerate Digital Transformation.MicrosoftMicrosoft develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer and Edge web browsers.Year Founded: 1975Revenue: $93.6 billion (2014)NASDAQ: MSFTMicrosoft Azure (Microsoft)Microsoft Azure is a Cloud Computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.
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