© 2014 IBM Corporation 1

Romeo Kienzler, Siddharta Arora, Madeleine von Heyl

IBM Watson for Ecosystem programA technology for evidence based question answering

IBM Innovation Center DACH

© 2014 IBM Corporation 2

The usual BigData - Intro...

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The usual BigData - Intro...

source: www.datasciencecentral.com

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We have only just begun to build a new era of computing powered by cognitive systemsSystemIntelligence

1900 1950 2011

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Tabulation

Programmatic

Cognitive

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Watson technology can help meet 21st century business challenges

Understands natural language and human communication1

Generates and evaluates evidence-based hypothesis2

Adapts and learns from user selections and responses3

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Watson Workshop: What are the industry implications?

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...and the problems...

Which disease causes uveitis in a patient with family history of arthritis presenting circular rash, fever, and headache?

© 2014 IBM Corporation

Watson Workshop: What are the industry implications?

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...and the problems...

© 2014 IBM Corporation

Watson Workshop: What are the industry implications?

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...and the problems...

© 2014 IBM Corporation 9

...let's ask IBM Watson...

Watson Workshop: What are the industry implications?

Which disease causes uveitis in a patient with family history of arthritis presenting circular rash, fever, and headache?

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Watson Workshop: What is Watson?

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Watson answers a grand challenge …

Answer:76% Lyme Disease,

1% Behcet's Disease, 1% Sarcoidosis

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Watson Workshop: What is Watson?

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The Paris Hilton Problem

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Watson Workshop: What is Watson?

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The Paris Hilton Problem

Source: www.coursera.org

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Semantic Annotation

Watson Workshop: What is Watson?

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Semantic Annotation

Medications

SymptomsDiseases

Modifiers

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Knowledge acquisition

acquire knowledge (text) form external sources transform to topic → content structure expand

– follow links in content – Identify content key words and link new content

Watson Workshop: What is Watson?

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Knowledge generation

“Einstein, who has published more than 300 scientific papers, won the Nobel Prize for Physics in 1921”

using a semantic dependency parser named entity recognizer (NER) extract and generalize type-based patterns such as

– “scientists publish papers”– “scientists win Nobel prizes”– “Nobel prizes are associated with subjects and years”– etc …

resulting knowledge base can be directly used to answer questions– “Who won a nobel prize in 1921 at the age of 42?”

Watson Workshop: What is Watson?

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Watson behind the scenes

Watson Workshop: What is Watson?

Answer Scoring

Models

Responses with Confidence

Inquiry

Evidence Sources

Models

Models

Models

Models

ModelsPrimarySearch

CandidateAnswer

Generation

HypothesisGeneration

Hypothesis and Evidence Scoring

Final Confidence Merging & Ranking

Synthesis

Answer Sources

Inquiry/Topic Analysis

EvidenceRetrieval

Deep Evidence Scoring

Learned Modelshelp combine and

weigh the Evidence

HypothesisGeneration

Hypothesis and Evidence Scoring

InquiryDecomposition

© 2014 IBM Corporation 18

Question decomposition and hypothesis generation

Unlike most sea animals, in the Sea Horse this pair of sense organs can move independently of one another

Question decomposition “Which sense organs of Sea Horse can move independently?” Hypothesis generation

– A sea horse can move its eyes independently– A sea horse can move its ears independently– A sea horse can move its skin independently– A sea horse can move its nose independently– A sea horse can move its tung independently

Watson Workshop: What is Watson?

© 2014 IBM Corporation

A view into the Watson Ecosystem

Application Partners: Build products

Talent Partners: Provide skills

Content Partners: Provide content

Watson Content

StoreWatson Developer

CloudWatson

Platform & Tools

Enhance client experience

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The Framework of the Watson Ecosystem

Watson Platform

General content

Partner 1 App

Partner 1 content

Starter Content

Retail Platform

Starter Retail Content

Partner n App

Partner n content

Partner 1 App

Partner 1 content

Partner n App

Partner n content

Partner 1 App

Partner 1 content

Partner n App

Partner n content

Watson Travel Cloud

Watson Healthcare Cloud

Watson Retail Cloud

Partner Apps

Partner Content

Healthcare Platform

Starter Healthcare Content

Travel Platform

Starter Travel content

Talent

General Content

Talent

End Clients

App 1 Client

App n Client

App 1 Client

App n Client

App 1 Client

App n Client

Business S

upport Services

Operation al S

uppo rt Service s

© 2014 IBM Corporation

Current prospective partnerships within the Ecosystem

Starter Content

Retail platform

Watson Travel Cloud

Watson Healthcare Cloud

Watson Retail Cloud

Partner Apps

Partner Content

Healthcare platformTravel platform

General Content

Talent

Anchor Clients

Business S

upport Se

rvices

Operation al S

uppo rt Service s

Watson Platform

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Travel United demonstration

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Further readings, questions ...

IBM Watson Ecosystem Program Website: http://www.ibm.com/watsonecosystem

IBM Watson Developer Cloud Support Community:http://developer.ibm.com/watson/

Watson Workshop: What is Watson?

© 2014 IBM Corporation

Questions???

ibmwatson.com

facebook.com/ibmwatson

@ibmwatson@romeokienzler

Watson Developer Cloud: > 1000 Participants Watson Content Store: > $100.000.000 Investments Watson Talent Hub: > 500 Subject Matter Experts