Suppliers United States IBM Watson (IBM) (IBM)
SUPPLIER MANAGED

IBM Watson (IBM) (IBM)

United States
2011
Public
NYSE: IBM
$1-10b
1,001 - 10,000
Open website

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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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
IBM Watson (IBM) (IBM)’s IoT Snapshot maps the range and focus areas of IBM Watson (IBM) (IBM)’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
IBM Watson (IBM) (IBM)’s Tech Stack maps IBM Watson (IBM) (IBM)’s participation in the IoT tech stack.
  • Application Layer
  • Functional Applications

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

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

  • Physical Layer
  • Robotics
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capacity
None
Minor
Moderate
Strong
Number of Case Studies2
Harnessing real-time data to give a holistic picture of patient health
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.
Next Generation Flight Management Systems
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.
Number of Software1
IBM Watson IoT Platform
IBM Watson IoT Platform
IBM Watson IoT Platform can help you get a quick start on your next Internet of Things project. It is a fully managed, cloud-hosted service designed to make it simple to derive value from your Internet of Things devices. It provides capabilities such as device registration, connectivity, control, rapid visualization and storage of Internet of Things data.Watson IoT Platform enabled several benefits for companies:- Connect and register: Easily register and connect sensors and mobile devices. Remotely monitor the connectivity of devices.- Visually assemble events: With IBM Bluemix, visually assemble events from the IoT into logic flows. Use Node-Red in IBM Bluemix for easy drag-and-drop flow assembly.- Collect data: Collect and manage a time-series view of data and see what is happening on your devices with near-real time IoT data visualization.- Manage devices and connections: Pay for what you use with purchase options available through IBM Bluemix. This highly scalable service allows payment through the IBM Marketplace or as a term subscription.
Number of Similar Suppliers5
IBM
IBM
IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware and software, and offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field. Year founded: 1911 Revenue: $92.7 billion (2014) NYSE: IBM
Microsoft
Microsoft
Microsoft 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: MSFT
Google
Google
Google specializes in Internet-related services and products. These include online advertising technologies, search, Cloud Computing, and software.Year founded: 1988Revenue: $66.0 billion (2014)NASDAQ: GOOG
Accenture
Accenture
Accenture is a leading professional service company, providing consulting and outsourcing services through their strategy, digital, technology and operations capabilities.
Deutsche Telekom
Deutsche Telekom
Deutsche Telekom AG is a German telecommunications company headquartered in Bonn. Deutsche Telekom was formed in 1996 as the former state-owned monopoly Deutsche Bundespost was privatized. As of June 2008, the German government still holds a 15% stake in company stock directly, and another 17% through the government bank KfW. The company is a component of the Euro Stoxx 50 stock market index.
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