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Today we’re in the midst of aninformation revolution.
Health datawill grow
99%
Insurancedata will grow
94%
Utilities datawill grow
99%
Manufacturing data will grow
99%
88%unstructured.
84%unstructured.
84%unstructured.
82%unstructured.
80% of this data has been “invisible” to computers, and therefore useless to us.
Until now.
ANALYTICS COGNITIVEINFORMATION KnowledgeDATASENSORS
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Cognitive systems democratize expertise by scaling knowledge.
There are three capabilities that differentiate cognitive systems from traditional programmed computing systems.
ReasoningThey reason. They can understand information but also the underlying ideas and concepts. This reasoning ability can become more advanced over time. It’s the difference between the reasoning strategies we used as children to solve mathematical problems, and then the strategies we developed when we got into advanced math like geometry, algebra and calculus.
LearningThey never stop learning. As a technology, this means the system actually gets more valuable with time. They develop “expertise”. Think about what it means to be an expert- - it’s not about executing a mathematical model. We don’t consider our doctors to be experts in their fields because they answer every question correctly. We expect them to be able to reason and be transparent about their reasoning, and expose the rationale for why they came to a conclusion.
UnderstandingCognitive systems understand like humans do, whether that’s through natural language or the written word; vocal or visual.
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Examples include:Analyst reportstweetsWire tap transcriptsBattlefield docsE-mailsTextsForensic reports
NewspapersBlogsWikiCourt rulingsInternational crime databaseStolen vehicle dataMissing persons data
Data, information, and expertise create the foundation.
Cognitive systems rely on collections of data and information:
Humans excel at:
DILEMMAS
COMPASSION
DREAMING
ABSTRACTION
IMAGINATIONMORALS
GENERALIZATION
Cognitive Systemsexcel at:
COMMON SENSENATURAL LANGUAGE
LOCATING KNOWLEDGEPATTERN IDENTIFICATION
MACHINE LEARNINGELIMINATE BIAS
ENDLESS CAPACITY
Cognitive systems are creating a new partnership between humans and technology.
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Demo: Watson in Oncology
Retrieve and Rank
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Message Resonance Concept Expansion Face Detection Natural Language Classifier Speech to Text Text to Speech Language Translation Language Detection Sentiment Analysis Dialog Retrieve and Rank Image Link Extraction Tradeoff Analytics Entity Extraction Tone Analyzer
Personality Insights Taxonomy Author Extraction Concept Tagging Relationship Extraction Concept InsightsRelationship Extraction Question & Answer Feed Detection Keyword Extraction Visual Recognition Image Tagging Text Extraction
Watson’s APIs are the cognitive building blocks that harness our data.
…and then leverage Watson APIs to apply cognitive capabilities.
Natural Language Classifier
Tone Analyzer
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As the Watson technology evolves and deepens, so too are the ways it’s being put to work in the world.
36Countries
50,000Studentsin Melbourne
5.5MCitizensin Singapore
8LanguagesLearned by Watson
160Universitiesoffering Watson courses
400+PartnersPowered by Watson
1.1MPatientsat Bumrungrad
29Industries
80KDevelopers building with Watson
Use Case Examples
© 2015 International Business Machines Corporation
IBM is rapidly becoming a cognitive business, integrating Watson’s intelligent capabilities in business processes, such as:
• HR• Finding experts with IBM Expertise• Blue Matching – prompting the right employee with
right job opportunities in IBM• Ella Watson – Personal Cognitive Digital Assistant
• Transformation & Operations• Quality issue analyses• Risk Management• M&A – Contract analysises with BLUE HOUND
• Sales• Client Experience Navigator
• Technical Support • Virtual help desk and prescriptive maintenance 16
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Thomson Reuters to deliver innovative technology solutions powered by Watson within specific industry domains
Live Watson Tax Client:
Singapore Ministry of Finance: “Ask Jasmine” Tax Advisor System
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USAA and Watson Help Military Members Transition to Civilian Life
© 2015 International Business Machines Corporation
Watson role in the legal industry
Analytics are Necessary to Optimize Operations Data Driven:Most industries have adopted the use of data to drive optimized business process
Hidden Data:The legal industry is unique in its scarcity of quantitative data that can be used to drive data optimized decisions
Cost:Current methods of getting the data rely primarily on manual extraction or the creation of large, brittle rule sets
Opportunity:Automate the extraction of quantitative data for use in optimized data driven decision making 21
Train Watson to build structured data sets
We can train Watson to review all incoming documents and search for the key data features we need to do discovery and prediction.
With structured data sets we can determine things like:
• Likely cost of matter• Likely value of matter • Likely outcome and key predictors• Hidden correlations between data features
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Watson Assistant
Accurate: Watson istrained on the actual contentproviding authoritative answers
Accessible: Watson is deployeddirectly to the point of interactionthrough the “right” technology at theright time
Expert
The RulesEmployees
Efficient: Watson deflects manyquestions, allowing people to act on the “interesting” ones
Evolving: Watson keeps upwith changes to rules and interpretations
Watson will transform compliance environment
Continuous proactive learning24x7 access
Answers to more unique questions
By getting accurate information in the hands of the people makingimportant decisions at the time they are making decisions, we reduce the cost of both compliance and non-compliance 23
Watson Research Assistant
Accessible: Watsonunderstands and interactsin natural language
Fast: Watson is designed towork in real time on massive amounts of data
Research RepositoryAttorney
Comprehensive: Watson includesall sources simultaneously
Watson can perform comprehensive legal research – faster
Dialog w/ Assistant
Watson transforms legal research from an extended, manual and key word based process to a real-time, free flowing, natural language based dialog that enables the attorney to interactively explore and ultimately decide on a course of action
CaseLaw
InternalMemos
LawReview
IndustryJournalBlogs Data
Rooms
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Watson Research Assistant
Research RepositoryAttorney
Dialog w/ Assistant
CaseLaw
InternalMemos
LawReview
IndustryJournalBlogs Data
Rooms
Watson partner Ross Intelligence develops an artificially intelligent legal associate
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“If a business is not reinventing itself to changing market conditions then it is highly likely it will go into decline or be taken over by those that are better adapted to the new environment. This statement is no less true for law firms than for any business”
The Law Society of England and Wales – Future’s Panel
IBM WatsonAnders QuitzauWatson [email protected]
