2. Watson is an artificially intelligent computer system capable of answering
questions posed in natural language, developed in IBM‘s Deep QA
project.
Watson
7. Applications
Discovery Advisor Baylor College of Medicine
http://militaryoneclick.com/new-ibmwatson-technology-available-for-usaa-members-transitioning-to-civilian-life-exclusive-sneak-peek/
1 6
Johnson & Johnson
3 people
10 months
Oncology Bumrungrad Hospital
10. Strategic Imperatives
Data: transforming industries
and professions
Cloud: reinventing IT Engagement: re-imagining work
$ 17 B (18.3%)
Watson
Bluemix
Mobilefirst
Threat Protection System
$ 7 B (7.5%) $1 B (1.1%)
8.0
10.1
12.3
14.4
16.5
2010 2011 2012 2013 2014
11. Competitor
Watson Azure
Natural language processing Predictive modeling
Several language Only English
Mature self-serviceConsulting based
WebSphere Liberty, MQ and DB2 Windows Server and Microsoft SQL Server
Hinweis der Redaktion
Initially, Watson is built to take up the challenge of playing Jeopardy! When the project start Watson could get only about 15% questions correct. After several years development, in February 2011 Watson computer competed against two biggest all-time champions on Jeopardy! and won.
In an historic event, in February 2011 IBM’s Watson computer competed on Jeopardy! against the TV quiz show’s two biggest all-time champions.
After jeapardy, IBM commercialized watson and applied it to healthcare, finance and so on.
Watson runs on a cluster of Power 750™ computers—ten racks holding 90 servers, for a total of 2880 processor cores running DeepQA software and storage. It can hold the equivalent of about one million books worth of information. Over a period of years, Watson was fed mountains of information, including text from commercial sources, such as the World Book Encyclopedia, and sources that allow open copying of their content, such as Wikipedia and books from Project Gutenberg.
self-service
not Web links or FAQ responses reducing the number of times needed to hand off to a live Call Center agent. The result? Reduced call center workloads and costs and happier customers.
Biologists and data scientists used the Baylor Knowledge Integration Toolkit (KnIT), powered by Watson technol-ogy, to accurately identify proteins that modify p53, a key protein related to many cancers. analyzed nearly 70,000 scientific articles on p53 to predict pro-teins that turn on or off p53's activity
Drug effectiveness studies are typically done manually — it takes three people an average of 10 months just to collect the data and prepare it for use before they are able to start asking questions against it.
Bumrungrad Hospital and Watson Improve Cancer Care, The system will help doctors use medical evidence, published research, the extensive clinical expertise of MSK and each patient's profile to plan the most effective treatments for cancer patients.
Twitter data now available in Watson Analytics Personal Edition
The Personal Edition of IBM Watson Analytics, a cloud analytics service that brings intuitive visualization and predictive capabilities to business users, now includes the ability to import enriched Twitter content to offer insights on trending topics. Personal Edition users can enter up to 10 hashtags and a date range in order to download a 10% sample of up to 25,000 Tweets.
Transforming industries and professions with data
IBM middleware including products such as WebSphere Liberty, MQ and DB2 will become available on Microsoft Azure, while Windows Server and Microsoft SQL Server will be available on the IBM cloud.