Du Big Data à Watson… Les principes de Watson Watson Foundations Watson Ecosystem Exemples de réalisations et ……..Watson et la cuisine

1. © 2014 IBM Corporation
Christel Beltran
Partner Executive, IBM
Ecosystem Development Team
christel_beltran@fr.ibm.com
@chrisbel99
PARLONS avec WATSON !

2. © 2014 IBM Corporation
Agenda
Du Big Data à Watson…
Les principes de Watson
Watson Foundations
Watson Ecosystem
Exemples de réalisations et ……..Watson et la cuisine

3. © 2014 IBM Corporation
What do we mean by Big Data ?
Volume
Terabytes to
exabytes of
existing data
to process
Velocity
Streaming data,
milliseconds to
seconds to
respond
Variety
Structured,
unstructured,
text and
multimedia
Veracity
Uncertainty from
inconsistency,
ambiguities, etc.

4. © 2014 IBM Corporation
How is Big Data changing Analytics?
Foundational
• What happened?
• When and where?
• How much?
Predictive
• What will happen?
• What will be the impact?
• Dashboards
• Data repositories
• Basic reporting
• Individuals spreadsheets
• Enterprise analytics
• Evidence-based decisions
• Outcomes analytics
Decision support
analytics
• Personalised decisions
• Population risk models
• Optimizing LoB systems
Prescriptive
• What are potential scenarios?
• What is the best course?
• How can we pre-empt and
mitigate the crisis?
Transaction
reporting
Data integration
Data warehouse
Predictive
analytics

5. © 2014 IBM Corporation
Adding Natural Language Processing
Text Analytics (NLP*) describes
a set of linguistic, statistical,
and machine learning
techniques that allow text to be
analyzed and key information
extraction for business
integration
Not only was the
pick-up line at the
counter very long,
but I waited 30
minutes just to talk
to a rude
representative who
gave me a car that
smelled like smoke,
had stained floor
mats, a dented
fender, and only half
a tank of gas

6. © 2014 IBM Corporation
Informed decision making: search vs. Watson

7. © 2014 IBM Corporation
Watson is ushering in a new era of computing
1900 1950 2011

8. © 2014 IBM Corporation
Watson Concept Basics
Have a question and answer requirement, with questions posed in natural
language
Seek answers and insights from a defined
data repository (i.e. corpus) comprised
largely of unstructured data
Provide transparency and supporting
evidence for confidence weighted responses
to questions and queries

9. © 2014 IBM Corporation
Cross-industry
• Watson Engagement Advisor
• Watson Discovery Advisor
• Watson Policy Advisor
• Watson Explorer
Industry-specific
• Watson Health Cloud
• Watson Travel Cloud
• Watson Retail Cloud
• Etc….
Ecosystem
• Watson Developer Cloud
• Watson Content Store
• Watson Talent Hub
Watson Products and
Services
Business solutions
and services
• IBM Decision Management
• IBM Content Analytics
• IBM Planning & Forecasting
• IBM Discovery & Exploration
• IBM BI & Predictive Analytics
• IBM Content Management
• IBM Hadoop System
• IBM Stream Computing
• IBM Data Management
& Data Warehouse
• IBM Information Integration
& Governance
WATSON FOUNDATIONS
New era big data and
analytics capabilities
“Powered by:”
Ex. Interactive Care Guide &
Reviewer Powered by Watson
(Wellpoint)
API branding: A modern approach
to “ingredient” branding – design
Watson-enabled Solutions
(IBM & Client)
IBM and client solutions that
incorporate Watson services
Introducing the IBM Watson family
http://www.ibm.com/smarterplanet/us/en/ibmwatson/
http://www.ibmbigdatahub.com/ibm-watson-foundations

10. © 2014 IBM Corporation
What is the Watson
Ecosystem?
The Watson Ecosystem empowers development of
“Powered by IBM Watson” applications. Partners are
building a community of organizations who share a
vision for shaping the future of their industry through
the power of cognitive computing.

11. © 2014 IBM Corporation
The Watson Ecosystem is composed of complementary,
interconnected partners
Talent Partners
Content Partners
App Partners
Develop cognitive powered applications
powered by IBM Watson
Fuel the ecosystem with content to drive
cognitive applications
Support application partners with
developing and designing their solutions
Watson
Developer
Cloud
Watson
Content
Store
Watson
Talent
Hub

12. © 2014 IBM Corporation
What constitutes a good use case?

13. © 2014 IBM Corporation
A problem that has a deep or wide knowledge base
A problem that has a tendency for unstructured natural language questions either implied or explicit
A problem where questions can have multiple correct answers, but only one best answer
A problem where the answer is based on multiple related or unrelated pieces of knowledge (not data).
What Makes a Watson Project ?

14. © 2014 IBM Corporation
Watson application Roadmap
Work with IBM team to
solidify use case strategy
Define business case &
content strategy
Access the
Watson Dev
Cloud through
tools and API
Build the
prototype
solution
Socialize in
market
Build a
commercial
application, enrich,
train and test
application
Final testing
before product
release
Align use
case with
rapid start
criteria
Sign up IBM
PartnerWorld
Submit
Ecosystem
application
Go-to-Market Plan
Execute on
Go to Market
Deploy the
product
“Powered by
Watson”
Expand
usage in
future
releases

15. © 2014 IBM Corporation
Memorial Sloan-Kettering
Cancer Center
Challenge
• Transform the quality and speed of care
delivered to patients through individualized,
evidence based medicine using cognitive
computing
Solution
• IBM Watson applies big data and analytics
and cognitive computing by processing,
analyzing and interpreting complex clinical
information to improve health care quality and
efficiency
Benefits
• Provides individualized treatment options
through insights gleaned from cognitive
systems
• A first of-its-kind Watson cloud based advisor
identifies individualized treatment options for
cancer patients
• Oncologists located anywhere can remotely
access detailed treatment options
1515

16. © 2014 IBM Corporation
North American Bank plans to use Watson to improve customer
service by promoting faster, more consistent agent responses.
Need
• Level two support challenged to cover a
broad range of products and services
• Need to draw upon vast information
sources
• Difficult to keep up with quickly changing
policies, procedures and regulations
Solution
Expected Benefits
• Reduce the team’s load
• Improve accuracy and consistency
• Reduce waiting times for customers
looking for answers
Global Financial Services Company
plans to use Watson to improve
customer service by promoting faster,
more consistent agent responses
Need
• Challenged to cover a broad range of
products and services
• Vast information sources
• Quickly changing policies, procedures
and regulations
Solution
• Use Watson as a resource to the
support team
• Ingest manuals, call logs, and users
groups, as well as procedures
mandated by the bank policies and the
government regulations
Expected Benefits
• Improve customer satisfaction through
better accuracy and responsiveness
• Scale its business through increasing
products, customers, and volumes of
data without overwhelming staff

17. © 2014 IBM Corporation
Watson et la cuisine
… beaucoup moins anecdotique que cela ne peut sembler
Cantines
Malades
Diététique en général
Bel exemple de mise en œuvre des capacités cognitives de Watson
Pour en savoir plus
https://www.youtube.com/watch?v=HwWxIHVNE5M
(2.48mn, foodtruck experience)
http://www.youtube.com/watch?v=yrfMcNE0y9s&feature=youtu.be
(2.28mn, genèse du projet)

18. © 2014 IBM Corporation

19. © 2014 IBM Corporation
J’espère vous avoir donné envie d’en savoir plus !
Pour soumettre votre dossier
http://www-03.ibm.com/innovation/us/watson/getting_started.shtml
http://www.ibm.com/smarterplanet/us/en/ibmwatson/ecosystem.html
http://www.ibm.com/smarterplanet/us/en/ibmwatson/developers.html
Watson, Science Behind an Answer
https://www.youtube.com/watch?feature=player_embedded&v=DywO4zksf
Xw
Watson: Ushering in a new era of computing
http://www-03.ibm.com/innovation/us/watson/index.html
Jeopardy! Gameshow Challenge
Day 1: http://www.youtube.com/watch?v=rxU1Pg-80as
Day 2: http://www.youtube.com/watch?v=smSvr4dfmPk
Day 3: http://www.youtube.com/watch?v=14r0eD2HWbo