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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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  • SNAPSHOT
  • United States
    2011
    Public
    NYSE: IBM
    $1-10b
    1,001 - 10,000
    Open website
    IBM
  • TECHNOLOGY STACK
  • IBM Watson’s Tech Stack maps IBM Watson’s participation in the IoT tech stack.
    • Application Layer
    • Functional Applications

    • Cloud Layer
    • Platform as a Service
      Infrastructure as a Service

    • Edge Layer
    • Automation & Control
      Processors & Edge Intelligence
      Actuators
      Sensors

    • Devices Layer
    • Robots
      Drones
      Wearables
    • Supporting
      Technologies
    • Analytics & Modeling
      Application Infrastructure & Middleware
      Cybersecurity & Privacy
      Networks & Connectivity
    Technological Capability
    None
    Minor
    Moderate
    Strong
  • IOT SNAPSHOT
  • 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.
    Technologies
    Analytics & Modeling
    Big Data Analytics
    Computer Vision Software
    Machine Learning
    Natural Language Processing (NLP)
    Application Infrastructure & Middleware
    API Integration & Management
    Blockchain
    Data Visualization
    Cybersecurity & Privacy
    Cloud Security
    Identity & Authentication Management
    Platform as a Service (PaaS)
    Data Management Platforms
    Functional Applications
    Remote Monitoring & Control Systems
    Industries
    Finance & Insurance
    Services
    System Integration
  • IOT SOLUTIONS
  • 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.

  • KEY CUSTOMERS
  • CASE STUDIES
  • IBM Watson: Harnessing real-time data to give a holistic picture of patient health
    Every 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 Systems
    To 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.
  • HARDWARE
  • SOFTWARE
  • PODCASTS
  • MEMBERSHIP
  • INDUSTRIES
  • FUNCTIONS
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