1 © 2017 IBM

Justin Fessler – Federal Sales Leader, Watson Explorer

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Agenda

• Watson Explorer overview

• Watson Explorer demos

• Q&A

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Smart is: breakthrough content analysis

Industry context: broad industry value

Value driver: improve business decisions

Solution onramp: content analyticsBusiness Challenge

Advance the state of the art in broad domain

Question Answer (QA) systems to enable

breakthrough applications in many different

industries.

What’s Smart?

Uses IBM Content Analytics (LanguageWare)

in conjunction with other technologies to

read, analyze and understand vast sources of

unstructured content. Runs many algorithms

in parallel to create, compare and determine

confidence in candidate answers. Presents

answers with a confidence level attached.

Smarter Business Outcomes

Coming to your industry soon! Will deliver

value in limitless applications starting with

clinical healthcare, customer care,

government intelligence and beyond.

“ … an information seeking

tool that’s capable of

understanding your question

to make sure you get what

you want and then deliver’s

that content through a

naturally flowing dialog”

Dr. David Ferrucci

Principal Investigator

Watson project

IBM Watson (Jeopardy)

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What Computers Find Easy (and Hard)

IBM Confidential 4

(ln(12,546,798 * π)) ^ 2 / 34,567.46 =

Owner Serial Number

David Jones 45322190-AK

Serial Number Type Invoice #

45322190-AK LapTop INV10895

Invoice # Vendor Payment

INV10895 MyBuy $104.56

David Jones

David Jones=

0.00885

Select Payment where Owner=“David Jones” and Type(Product)=“Laptop”,

Dave Jones

David Jones≠

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What Computers Find HardComputer programs are natively explicit, fast and exacting in their calculation over numbers and symbols….But Natural Language is implicit, highly contextual, ambiguous and often imprecise.

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Capabilities

Bu

sin

es

s v

alu

e

NLP and contextual search appsEntity extraction • Semantic analysis • Emotion

analysis• Contextual search • Translation

Core cognitive computing

Unified accessFusion across multiple sources

Keyword search

Record/document retrieval

Natural language Q&A • Fact extraction • Learning Trigger Actions • Image Analysis • Video Analysis • Speech

Simple UI Role-specific and immersive UIs

There is a natural and cumulative evolution from basic search, analytics, through advanced NLP, to cognitive computing … all with the goal of delivering information and scaling expertise.

The Evolution Toward Cognitive Computing

Cognitive Products and FrameworksWatson Engagement Advisor • Watson Discovery Advisor

Watson Discovery Advisor • Watson Analytics

Cognitive Industry Solutions

Field Service Advisor • Product Safety • Digital Agent

Cognitive Embedded Across IBM Offerings

Cognitive Search • Image Analysis

• Domain Adaptation • Predictive Analytics

6

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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

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360-degree information application

Information, analytics and cognitive insights presented in context

Question & Answer*service enables the user to ask natural language

Personality Insights* for deeper understanding of client

Data from enterprise systems such as CRM, DBMS, CMS and SCM

Analytics, in context

Activity feed for up-to-the-moment information

Data-driven alerts

Content analytics to reveal insights from unstructured data

Collaboration and information sharing

*Uses Watson Developer Cloud service

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Analyzed Content

(and Data)

““““Owner”””” ““““reports”””” ““““check engine lite””””““““flashes”””” ““““after refueling””””...

Source InformationCorporate (Contact Center, Test Data,

Dealer notes, ECM, etc.) and External

(NHTSA, Edmunds, Consumer Reports,

MotorTrend etc.)

Noun Verb Noun Phrase Prep Phrase

Person Issue Warning Driver action

Component Issue: “Engine Light”

Situation: “Refueling”ExtractedConcept

Content Analytics

UIMA Pipeline + Annotators

Fine grain control over the entities and

facets that are created

Content Analytics Crawlers

IBM Master Data Mgmt

RDB

Real-time NLP REST API

Content Push API

IBM Watson Explorer – How it works

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Unstructured data is messy but filled with key facts

Lockable pocket knifeEvidence_2_Description

1 oz Cannabis ResinEvidence_1_Description

IpswichSuspect_Addr_Town

22 East Dene RidgeSuspect_Addr_Street

Ford MondeoSuspect_Vehicle_Make

WhiteSuspect_Vehicle_Colour

W563WDLSuspect_VRN

SetsukoSuspect_Surname

JohnSuspect_Forename

15/06/2006 : 23:47Arrest_Date_Time

PC 143Arresting_OfficerPC 143 (Hunter)15 June 2006 23:47Suspect identified himself as John Setsuko. Matched description given by night club doorman (IC1, Male, Ag 22-24 yrs, blue Everton shirt). Stopped whilst driving White Ford Mondeo, W563 WDL. Address given as 22 East Dene Ridge, Copdock, Ipswich. Searched at scene and found in possession of 1oz Cannabis Resin and lockable pocket knife.

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Content Analytics MinerAvailable with Advanced Edition

�Visualize unstructured content to reveal new insights

�Eight analytic frameworks for viewing and gaining insights

Facets Dashboard Document Analysis

Facet PairsDeviations/Trends Sentiment

Time Series

Connections

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Content Analytics StudioAvailable with Advanced Edition

�Quickly build analytics solutions for new domains e.g. Legal, Financial Services, Healthcare

�Develop custom analytics rules using a simple Drag-and-Drop interface

�Test rules on-the-fly and deploy directly to Watson Explorer

�Designed for the business user—no need to write code!

13 © 2017 IBM

THANK YOUJustin FesslerFederal Sales LeaderWatson Explorer703-231-5326jfessle@us.ibm.com