1 © 2014 IBM

Justin Fessler – IBM Watson Solution Consultant, U.S. Federal

2 © 2014 IBM

Smart is: breakthrough content analysis

Industry context:broadindustryvalueValuedriver: improvebusinessdecisionsSolutiononramp: contentanalytics

BusinessChallengeAdvancethestateoftheartinbroaddomainQuestionAnswer(QA)systemstoenablebreakthroughapplicationsinmanydifferentindustries.

What’sSmart?UsesIBMContentAnalytics(LanguageWare)inconjunctionwithothertechnologies toread,analyzeandunderstandvastsourcesofunstructuredcontent. Runsmanyalgorithmsinparalleltocreate, compareanddetermineconfidenceincandidateanswers. Presentsanswerswithaconfidencelevelattached.

SmarterBusinessOutcomesComingtoyourindustrysoon!Willdelivervalueinlimitless applicationsstartingwithclinicalhealthcare, customercare,governmentintelligenceandbeyond.

“ …aninformationseekingtoolthat’scapableof

understandingyourquestiontomakesureyougetwhat

youwantandthendeliver’sthatcontentthrougha

naturallyflowingdialog”Dr.DavidFerrucci

PrincipalInvestigatorWatsonproject

IBMWatson(Jeopardy)

3 © 2014 IBM

Front-line employees typically struggle to get the information and insights they need, when they need them.

100sof terabytes of internal and external content?

Too many silos

Inability combine data from multiple sources

Lack of insight due to reliance on a single source of info

4 © 2014 IBM

Automatic Open-Domain Question AnsweringA Long-Standing Challenge in Artificial Intelligence to emulate human expertise

§ Given– Rich Natural Language Questions– Over a Broad Domain of Knowledge

§ Deliver– Precise Answers: Determine what is being asked & give precise response– Accurate Confidences: Determine likelihood answer is correct– Consumable Justifications: Explain why the answer is right – Fast Response Time: Precision & Confidence in <3 seconds

4

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Informed Decision Making: Search vs. Expert Q&A

Decision MakerSearch Engine

Finds Documents containing Keywords

Delivers Documents based on Popularity

Has Question

Distills to 2-3 Keywords

Reads Documents, Finds Answers

Finds & Analyzes Evidence

ExpertUnderstands Question

Produces Possible Answers & Evidence

Delivers Response, Evidence & Confidence

Analyzes Evidence, Computes Confidence

Asks NL Question

Considers Answer & Evidence

Decision Maker

6 © 2014 IBM

Real Language is Real Hard

§Chess§ A finite, mathematically well-defined search space§ Limited number of moves and states§ Grounded in explicit, unambiguous mathematical rules

§Human Language§ Ambiguous, contextual and implicit§ Grounded only in human cognition§ Seemingly infinite number of ways to express the same meaning

7 © 2014 IBM

Watson Use-Case Categories

Engagement

TransformCustomerExperiences

Customers,Citizens

IBMWatsonEngagement

Advisor

Discovery

AccelerateResearch

andInsights

Analysts,Legal,Academics

IBMWatsonDiscoveryAdvisor

Decisions

ImproveDiagnosis,Treatment,

PolicyAdherence

Clinicians

IBMWatsonInteractiveCare&

Insights

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Scaling ExpertisePressure to increase performance and innovation—while doing more with less

Unstructured Content80% of data is unstructured but only a

small percentage leveraged for insights

Information AccessData, applications and services distributed

on-premise and in cloud—employees struggle to get a complete view

Challenges Watson Explorer

AnalyzeDelivers insights from unstructured content

ExploreProvides a 360-degree view of

information from ALL sources to enable better decisions

InterpretApplies cognitive computing

to scale human expertise

9 © 2014 IBM

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