Suppliers United States IBM Watson (IBM)

	IBM Watson (IBM)
HQ Location	United States
Year Founded	2011
Company Type	Public
Stock Ticker	NYSE: IBM
Revenue	$1-10b
Employees	1,001 - 10,000
Website	Open website

IBM Watson (IBM)

HQ Location

United States

Year Founded

2011

Company Type

Public

Stock Ticker

NYSE: IBM

Revenue

$1-10b

Employees

1,001 - 10,000

Website

Open website

Company Description	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. Read More
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. Read More Log in to view content
Parent Company	IBM
Contents

Company Description

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.

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.

Parent Company

IBM

IBM Watson is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, and cybersecurity and privacy technologies, and also active in the finance and insurance industries.

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)’s Technology Stack maps IBM Watson (IBM)’s participation in theplatform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, and cybersecurity and privacy IoT technology 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

Number of Case Studies2

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

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.

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Overview

IBM Watson (IBM)

IoT Snapshot

Technology Stack

Case Studies

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