ibm watson - cognitive robots
TRANSCRIPT
Jouko PoutanenWatson Ambassador
IBM Watson
© 2015 International Business Machines Corporation
Hotel Concierge Powered by Watson
https://youtu.be/jC0I08qt5VU
IBM Watson represents a bold step into a new era of computing…
© 2015 International Business Machines Corporation 3…enabling new opportunities and outcomes
Brief History of IBM Watson
© 2015 International Business Machines Corporation 4
IBM Watson Combines Three Transformational Capabilities…
© 2015 International Business Machines Corporation 5
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Advisors
Developer CloudSpecialties
Models
Content
Tooling
Assemble
Train
Deploy
Admin
Data Services IngestExtract AnnotateCurate
Design
Engagement Discovery
Decision Policy
Cross Industry Editions
Oncology Wealth Mgmt.
Intelligence Cooking
Target Industry Editions Powered by Watson Offerings
App Store
Healthcare
Financial Svc.
Travel...
Call Center
User Profiling
Research...Core Offerings Watson Analytics Watson Explorer
Industry Aligned Market Aligned
Visualize
Cognitive Services (APIs)
The same services are used by business partners, customers, and IBM Developers.
Watson Portfolio
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Relationship
Extraction
Questions&
AnswersLanguag
eDetectio
n
Personality
Insights
Keyword Extraction
Image Link
ExtractionFeed
Detection
VisualRecognition
Concept Expansion
ConceptInsights
Dialog Sentiment
Analysis
Text to Speech
Tradeoff Analytic
s
Natural Languag
eClassifie
r
Author Extraction
Speech to
Text
Retrieve&
Rank
WatsonNews
LanguageTranslatio
n
EntityExtractio
n
Tone Analyzer
ConceptTagging
Taxonomy
TextExtraction
MessageResonanc
e
ImageTagging
FaceDetectio
n
Answer Generation
Usage Insights
Fusion Q&A
Video Augmentatio
n
Decision Optimizatio
n
Knowledge Graph
Risk Stratification
Policy Identificatio
n
Emotion Analysis
Decision Support
Criteria Classificatio
n
Knowledge Canvas
Easy Adaptatio
n
Knowledge Studio Service
Statistical Dialog
Q&A Qualificatio
n
Factoid Pipeline
CaseEvaluation
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The Waston that competed on Jeopardy! in 2011 comprised what is now a single API—Q&A—built on five underlying technologies.
Since then, Watson has grown to a family of 28 APIs.
By the end of 2016, there will be nearly 50 Watson APIs—with more added every year.
Natural Language Processing
Machine Learning
Question AnalysisFeature Engineering
Ontology Analysis
This Is the runtime architecture which showcases the components that are involved in the usage of a trained and deployed Cognitive Engagement System
Cognitive-Reference Architecture
IBM Architecture Center
https://developer.ibm.com/architecture/cognitive
Introduction ofConversation Service
IBM Confidential
Question Distribution
Watson Conversation
Retrieve and Rank
Unique Intents100s 100,000+
Freq
uenc
y of
Q
uest
ions
Long Tail
How do I get a Visa?
I need to visit Zimbabwe as a British citizen with a criminal record—can I do that?
Here Watson uses reasoning strategies that focus on identifying the most appropriate answer.
Here Watson uses reasoning strategies that focus on the language and context of the question.
Short Tail
IBM Watson Conversation Service
• Enables customers to self-serve on their terms
• Delivers information and services with a consistent, on-brand and engaging experience
• Reduces costs through deflection of calls to Contact Centers
Description Benefits• Enables Developers with
Business users to create natural, human-like conversational experiences across all channels (e.g. mobile, messaging, robots, etc.)
• Combines Intents, Entities and Dialog into a seamless experience
IBM Watson Retrieve & Rank Service
• If Conversation unable to identify answer, R&R uses enhanced information retrieval capabilities to provide possible responses.
• Allows Enterprise to have the ability to walk a user through a chat based process
Description Benefits• Helps users find relevant
information for a query by using a combination of search & machine learning algorithms to detect "signals" in the data.
• Ability for organizations to sync content between their Enterprise and the Cloud service
• Leverages state of the art Deep Learning techniques to derive intent
• Watson has read Wikipedia enabling it to understand language and concepts
• Learns over time based on usage
• Handcrafted rules unable to scale and do not benefit from data
Understand the Customer’s Intent
“”
I forgot my password...
How do I get a new password?
Can you reset my password?
My login isn’t working, please help…
Can’t login into your site…
Intent = Password Reset
How do I reset my password?
Someone has stolen my credit card.
Where is the nearest store?
I need to pay my outstanding invoice.
Can I pay my bills using my credit card?
Take Action: Responses Come in Different Forms
Question Answer
Guide the user through a set of steps
Transfer to human agent
Application launches map with directions
Bring user to pay bill screen
Bring back an answer
Dialog
Deflect
Map
App Nav.
Info. Retrieval
CheckOut– ProjectIntu
• http://www.ibm.com/watson/developercloud/project-intu.html