HxRefactored - IBM Watson - Vance Allen + Sridhar Sudarsan
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Transcript of HxRefactored - IBM Watson - Vance Allen + Sridhar Sudarsan
Welltok, Inc. IBM Watson Vance Allen, CTO Sridhar Sudarsan, CTO
Chat with us on Twi=er #Welltoklive @Welltok @IBMWatson
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First Consumer Health Op1miza1on solu1on leveraging the power of the IBM Watson Natural Language Processing and Cogni1ve Compu1ng technology
What is CaféWell Concierge?
PAGE 3 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Meet ScoB I’m creaOng a mHealth app!
PAGE 4 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
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ScoB is Ready to Get Healthier I sit hunched over & drink
RedBull all day!
© 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
ScoB Gets CaféWell Concierge
PAGE 6 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
ScoB Now has a Health Concierge
PAGE 7 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
ScoB Occassionally Travels for Biz NYC bound!
Hello, #HxRefactored
PAGE 8 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Hungry ScoB Where should I eat tonight?
PAGE 9 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
He is Rewarded for Healthy Choices
PAGE 10 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
ScoB Wants to Run in NYC
Achieve 10,000 steps per day to move your team into 1st place and get rewarded
Challenge accepted! Where should I run?
PAGE 11 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
I’ve been coding all night
Hood is Up – ScoB is Stressed
PAGE 12 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
ScoB Receives Unprompted Recs Concierge, you know me so well!
PAGE 13 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
The Power of a Health Concierge
What could possibly smart enough to solve this problem? It’s not easy to get Sco= healthy.
PAGE 14 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Understands natural language
Generates & evaluates hypotheses
Adapts & learns
Watson understands me.
Watson engages me.
Watson learns and improves over time.
Watson helps me discover.
Watson establishes trust.
Watson has endless capacity for insight.
Watson operates in a timely fashion.
Watson is Cogni1ve Compu1ng
PAGE 15 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
explorer
India
In May 1898
India
In May
celebrated
anniversary
in Portugal
In May, Gary arrived in India aaer he celebrated his anniversary in Portugal
Portugal
400th anniversary
celebrated
Gary
In May 1898 Portugal celebrated the 400th anniversary of this explorer’s arrival in India
This evidence suggests “Gary” is the answer BUT the system must learn that keyword matching may be weak rela:ve to other types of evidence
arrived in
arrival in
Legend Keyword “Hit”
Reference Text
Answer
Weak evidence Red Text
Ques1on Suppor1ng Evidence Beyond Simple Search & Keywords
PAGE 16 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Importance of Deep Seman1c Discovery
27th May 1498
landed in
arrival in
explorer
India
Para-phrases
Geo-KB
Date Match
Stronger evidence can be much harder to find and score…
§ Search far and wide
§ Explore many hypotheses
§ Find judge evidence
§ Many inference algorithms
On the 27th of May 1498, Vasco da Gama landed in Kappad Beach
400th anniversary
Portugal
May 1898
celebrated
In May 1898 Portugal celebrated the 400th anniversary of this explorer’s arrival in India.
Kappad Beach
Legend Temporal Reasoning
Reference Text Answer
Statistical Paraphrasing GeoSpatial Reasoning
Question Supporting Evidence
Vasco da Gama
PAGE 17 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Answer Scoring
Models
Responses with Confidence
Inquiry
Evidence Sources
Models
Models
Models
Models
Models Primary Search
Candidate Answer GeneraOon
Hypothesis GeneraOon
Hypothesis and Evidence Scoring
Final Confidence Merging & Ranking Synthesis
Answer Sources
Inquiry/Topic Analysis
Evidence Retrieval
Deep Evidence Scoring
Learned Models help combine and weigh the Evidence
Hypothesis GeneraOon
Hypothesis and Evidence Scoring
Inquiry DecomposiOon
1000’s of Pieces of Evidence
Mul1ple Interpreta1ons of a ques1on
100,000’s Scores from many Deep Analysis Algorithms
100’s sources
100’s Possible Answers
Balance & Combine
How Watson Works: DeepQA Architecture
PAGE 18 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
PAGE 19 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
“Medicine has become too complex. Only about 20% of the knowledge clinicians use today is evidence-‐based.”
Steven Shapiro Chief Medical & ScienOfic Officer
University Pi=sburgh Medical Center
Addressing Healthcare Challenges
PAGE 20 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Employers
Medical devices and diagnosOcs
Health plans
EducaOon
Public health
Social programs
Hospitals
Home health agencies
Physicians, nurses and
pracOOoners
Therapists
NGOs
Bio-‐ pharmaceuOcals Family
CommuniOes of care
Individual
Governments
of U.S. GDP consumed by healthcare spending
17.6%
Avoidable costs/yr. by be=er medicine adherence
1/2 trillion
Of 36 million deaths a=ributed to NCDs* could be prevented
9 million
4x People 60+ that will be unable to care for themselves by 2050
Watson in Healthcare
A World of New Possibili1es
PAGE 21 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
• Partnership between Welltok & IBM Watson • Leverage the power of cogniOve compuOng
• Natural language dialogue • Technology that can handle unstructured content
• Understanding of consumers’ health status and moOvaOons
So How Did We Do It?
PAGE 22 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
• ApplicaOon that can learn and adapt • Understands your locaOon and preferences • ConOnually gets smarter • Provide Intelligent recommendaOons bases on different user a=ributes
• Integrate mulOple sources of content – both structured and un-‐structured
Problems We Overcame
PAGE 23 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Access Watson Developer Cloud!using Watson Experience Manager!
Develop app “Powered by Watson”!using APIs !
Enrich Watson!with content!
Train Watson !using tools and experts!
Test app!functional andnon-functional!
Deploy application!
Building a Watson app
How Are We Doing It?
Content Inges1on
IdenOfy Content ,Transform, Curate and Ingest
ENRICH Both the quesOons and responses with a=ributes “we” already know
about a user
TRAINING Watson needs to be trained on how to process content for Health OpOmizaOon
ANALYZE QuesOons and responses to
gain more intelligent insights
Use Cases, Q &A Pairs, and Content AcquisiOon
PAGE 25 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Partnership
High Level Architecture / Data Flow
CafeWell
Partner
Public
CafeWell/Watson Content
Enrichment
Watson IngesOon
Watson Corpus
Watson Training
Sponsor
CafeWell Responsibility
IBM Responsibility
Content Acquisi1on
PAGE 26 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
CONFIDENTIAL INFORMATION © WELLTOK 2009-‐2014 PAGE 27
Ex: Watson Being Used for Health OpOmizaOon
Ques<on: What should I do for my workout today?
Answer: You could go for a run in Central Park, bring your Fitbit Pebble and be closer to
earning $50 from Acme Healthcare.
Update the user’s profile and Social Health IOnerary and analyze transacOon stream
CaféWell Concierge Flow Concierge QuesOon Enrichment
Concierge Answer Enrichment You could go for a run in Central Park, bring your Fitbit Pebble and be closer to earning $50 from United Health Care. Why
don’t you invite RunnerDude100?
26 year old single male, insured with United PPO plan, who
lives in the zip code 11231-‐4710, currently at 23 St. & 5th Ave., NYCH, with health interests of running, hiking, and biking,
currently at 75 minutes of 120 minutes of my goal acOvity for the week, shown a recent tendency to be acOve outside, and
has been discussing men’s issues, what should I do?
Ques<on: What should I do for my workout today?
PAGE 28 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Welltok Responsibility
IBM Responsibility
Answer Enrichment
QuesOons
QuesOon Enrichment
Answers
Intelligence Tuning
High Level Architecture / Data Flow Q&A Training
PAGE 29 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
CreaOng the Experience
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Thank you!
Chat with us on Twi=er #Welltoklive @Welltok @IBMWatson
What is CaféWell Concierge?
PAGE 32 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
Workflow Example
Ques<on: What should I do for my workout today?
Answer: You could go for a run in Central Park, bring your Fitbit Pebble and be closer to earning $50 from Acme Healthcare. Why don’t
you invite RunnerDude100?
PAGE 33 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
How Does it Work? • “Teach” Watson how to process the content
• Enrich the quesOons consumers ask by adding info we already know about them
• Enrich the responses we receive from Watson to make it acOonable and engaging
• Analyze & learn from the Q&A stream
CaféWell Concierge Recap
What is it? • Enables users to ask quesOons, in everyday
language, and receive relevant, personalized, responses
• Creates Intelligent Health IOneraries based on locaOon, health status, benefits, interests, acOvity level
• UOlizes personalizaOon, recommendaOons, intelligence, cogniOve compuOng and natural language processing (NLP) to help consumers opOmize their health
PAGE 34 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.
• Partnership between Welltok & IBM Watson • Leverage the power of cogniOve compuOng
• Natural language dialogue • Technology that can handle unstructured content
• Understanding of consumers’ health status and moOvaOons
So How Are We Doing It?
PAGE 35 © 2014 InternaOonal Business Machines CorporaOon & Welltok, Inc.