Post on 24-Jun-2020
1 © 2017 IBM
Justin Fessler – Federal Sales Leader, Watson Explorer
2 © 2017 IBM
Agenda
• Watson Explorer overview
• Watson Explorer demos
• Q&A
3 © 2017 IBM
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)
4 © 2017 IBM
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≠
5 © 2017 IBM
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
9 © 2017 IBM99
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
10 © 2017 IBM
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.
11 © 2017 IBM
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