Innovation Day Austin

Welcome to Watson
Innovation Day

© 2014 International Business Machines Corporation 4
Watson is one of IBM’ greatest innovations in its 100 year
history, and now its only a click away.
Goals for today’s session:
• Ignite your imagination for how Watson can be put to work in your business
changing the competitive landscape and redefining the art of the possible
• Help establish a proven and actionable business approach for you to bring
Watson to market
• Demonstrate the process to build a Watson application and the tools and
resources available to help you succeed.
• Describe IBM’s investment to help ensure your success in putting Watson to
work, from design and development through go-to-market

“IBM is helping
partners make
markets by
transforming
industries and
professions
with data.”
IBM’s leadership in cognitive computing is deeply rooted in its
investments in Big Data and analytics.

“IBM is helping
partners redefine
enterprise IT for
the era of cloud
computing and
the next
generation of
solutions.”
IBM’s commitment to cloud and the new digital frontier opens up a
world of possibilities for Watson.

Time Agenda
8:30am – 9:30am
What is cognitive computing: IBM Watson and a new era of
computing
9:30am – 10:15am
The Watson Ecosystem: How IBM partners are transforming
industries
10:15am – 10:30am Break
10:30am – 11:00pm Our journey with Watson: A partner perspective
11:00am – 11:45am Getting started with Watson: Watson Developer Cloud
11:45am – 12:00pm Wrap up: Where do I go from here?
12:00pm – 1:00pm Networking lunch
1:00pm – 3:00pm 1:1 consults & hands-on “Work with Watson” sessions
Agenda

On February 14, 2011
made history

Bringing Watson technology to market
Size
Speed
Corpus
Flexibility
#Users
Size
Speed
Corpus
Flexibility
#Users
Size
Speed
Corpus
Flexibility
#Users
2880 CPUs
Single User
5+ days to retrain
Knew Wikipedia
1 Machine
1000s of users
<1 day to retrain
Learned Medicine
Cloud Delivery
Millions of Users
Retraining in hours
Broad Industry Knowledge
Jeopardy
Cognitive
Products
Cognitive Ecosystem

2013 recap
Watson Engagement
Advisor - May 21st
Watson Engagement
Advisor announced
Cross-industry and cross-
geography play
January April July October
First Two Commercial
Offerings – Feb 8th
First 2 healthcare products were
announced with MSK and
WellPoint
2014
Watson Ecosystem –
Nov. 14th
Watson Ecosystem
announced
Driving innovation and
fostering new possibilities
Watson Healthcare
Update – Oct. 18th
MD Anderson launches
Expert Oncology Advisor
powered by Watson
Watson used to bridge
clinical practice and medical
research

2014 – A look forward
•IBM Watson Group
•2000+ professionals
•$1B+ invested over next few years
•New Watson HQ – NY (Silicon Alley)
•New Watson Offerings
•New Partner APIs
•New Tooling & SDKs
•$100M Direct Investment Fund
Watson has the potential to transform how industries and
individuals interact and make every day decisions. Watson helps
make individuals, enterprises and society smarter by engaging
the collective knowledge and insight of the market.

IBM direct investments ($100M fund)
1. Acceleration of Watson Ecosystem
2. Foster strategic alignment of brand
objectives
3. Provide reference customer for new and
emerging market segments
4. Access top talent and industry
5. Seed market or market segment entry
6. Future acquisition potential
7. Leverage broader IBM portfolio
8. Provide financial return
Objective:
Investment Orientation
Business Alignment
Industry Focus:
Healthcare, Retail, Travel,
X-Industry, etc.
Market: B2B, B2B2C
Stage: Series A – C
(typically)
Participation: Minority,
venture led
T&C: Established by lead
investors, no board seat
Investment orientation
Business alignment
Industry focus:
Healthcare, Retail,
Travel, X-Industry, etc.
Market: B2B, B2B2C
Stage: Series A – C
(typically)
Participation: Minority,
venture led
T&C: Established by lead
investors, no board seat

Converging trends impacting our world

1900
Watson is ushering in a new era of computing
1950 2011
Tabulating
Systems
Programmable
Systems
Cognitive
Systems

Understands
natural language and
human style
communication
Adapts and learns from
training, interaction, and
outcomes
Generates and
evaluates evidence-
based hypothesis
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.
1 2
3
Cognitive computing is changing the game

Welch ran this?
“If leadership is an art then
surely Jack Welch has
proved himself a master
painter during his tenure at
GE.”
Person Organization
L. Gerstner IBM
J. Welch GE
W. Gates Microsoft
Structured data Unstructured data
Understanding language is critical to 21st century computing
Watson makes sense of natural language, like:
 Noses that run and feet that smell?
 How can a house can burn up as it burns down?
 Why does an alarm go off by going on?
 How can a slim chance and a fat chance be the same, while a wise man and
a wise guy are opposites?

Answering complex questions requires more than keyword
evidence
This evidence suggests
“Gary” is the answer BUT
the system must learn
that keyword matching
may be weak relative to
other types of evidence
explorer
India
In May
1898
India
In May
celebrated
anniversary
in Portugal
In May, Gary arrived in India
after 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
arrived in
arrival in
Legend
Keyword “Hit”
Reference Text
Answer
Weak evidenceRed Text
Question: Supporting Evidence:

Watson’s deep semantical Q&A capability can unlock new
potential and possibilities
27th May 1498
Vasco da
Gama
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:

Bringing Watson to market
Transforming
industries and
professions.
Advancing cognitive
computing across the
enterprise.
Delivering the
cognitive experience
to the masses.

Watson Ecosystem: A cognitive marketplace
Watson Developer Cloud
delivers the tools,
methodologies, software
developer kits and API(s) for
ISVs to build the next
generation of cognitive
applications.
Watson Content Store
brings together sources of
free and fee data, including
general knowledge,
industry-specific content,
and subject matter
expertise.
Watson Talent Hub
helps bridge ISVs’
resource gaps by
providing a marketplace
for critical cognitive, big
data, UI, and mobility
skills.
The IBM Watson Ecosystem brings the cognitive capabilities of Watson to the
cloud, allowing third parties to harness Watson’s cognitive capabilities. The
ecosystem is comprised of three key components:

Watson Ecosystem Program launch created over
1B impressions
Want to Work with
IBM's Watson?
IBM's Watson Woos
Developers
Have at it,
programmers: IBM
makes Watson
available via API
IBM Opens Up Its Watson
Cognitive Computer for
Developers
IBM Offers Watson as
Cloud Application Tool
IBM to Open Up Jeopardy
Winner Watson's 'Brain'
for Everyone
Seismic shift underway
in computing thanks to
IBM Watson
Cognitive Computing
For All: IBM Releases
a Legion of Watsons
IBM to Open Up
Watson to Third-
Party Developers
Soon Everyone Will Be
Able To Use Watson
IBM's Watson Artificial
Intelligence to Get
New Homes
IBM to Announce More
Powerful Watson via
the Internet
IBM's Watson Plays a
New Role as an
Application
Development Platform
IBM to Launch Watson
Cloud-Based
Development Platform
IBM Adds Rent-An-
Artificial-Intelligence
Powers to Watson

Three ways Watson Ecosystem Program benefits partners
Watson cognitive capabilities can be a game changer by
differentiating your offering in the marketplace.
The Program represents a unique opportunity to meet market
demands and demonstrate leadership, innovation, and agility.
Watson cognitive capabilities can drive incremental revenue
by attracting new users or growing current users.
1
2
3

Content
Use case
MarketCommitment
Clients
• Ownership / Access to content
• Form - unstructured
• Format – ingestible
• Use case alignment
• Leverages
cognitive
capabilities
• Market potential
• Market impact
(disruptive)
• Exec sponsorship
• Road map priority
• Resources
• Skill development
• Anchor client
potential
• Installed base
Recipe for rapid success

What is the cost to be part of the IBM Watson Ecosystem?

The Watson Content Store offers fuel for apps
A clearing house of unique and varying sources of data –
general knowledge, industry specific content, and subject
matter expertise – from a variety of sources.
51© 2014 International Business Machines Corporation
Content Providers
•New distribution channel
•New customers & consumption
model (license, subscription,
transaction)
•Incremental revenue
Benefits
ISVs
•Fuel your application with the
content needed for success
•Easily access multiple content
sources
•Test and validate content value

With Watson’s Talent Hub, help is just a click away

A community for ongoing dialogue, collaboration & interaction
 Private Watson Ecosystem Community
 Invitation only events
 Watson “Tech Talks” web conferences
 Single community with tools, tips, tricks,
ideas and conversation
 Meet-ups and hangouts with cognitive
business & tech leaders
 Content, Interaction, and events
 Developer Q&A Forum: DeveloperWorks
 Active forums and blogs
 https://www.ibmdw.net/watson/
 Growing social dialogue
 Twitter: @IBMWatson
 LinkedIn: Watson Advocates Group
 Facebook: facebook.com/ibmwatson

Working with Watson
An Overview of the Watson
Development Process

© 2014 International Business Machines Corporation
4
What do I get as an IBM Watson Ecosystem Application Partner?
 Use of the Watson Developer Cloud:
 Watson Experience Manger to enrich content, train, and
test your Watson application
 API to access the QA service to Watson
 Customizable user interface to embed into your app
 Guidelines on using Watson elements in the application
 Upload content into the Watson Content Store or
source through Ecosystem partners
 Access to a network of partners, customers,
content and talent
 Support from a collaborative community of IBM
technical, marketing and sales resources

Planning your Watson application roadmap
Go-to-Market Plan and Execute
 Evaluate the
business and
technical
viability as a
Watson
cognitive
application
 Submit
Ecosystem
application
 Receive
acceptance
 Access the
Watson
Developer
Cloud
through tools
and API
 Build the
prototype
solution
 Validate with
target market
 Design and build a commercial
application with Watson as a key
solution component
 Enrich, train and test application
iteratively
 Final testing before product release
 Deploy the
“Powered by
Watson” app
 Expand
usage in
future
releases
Engage Prototype Build Deploy

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 and
non-functional
Deploy
application
The process for building your “Powered by Watson” app

4
Design & develop: Example solution pattern used with Watson
App Component
Other App
Component(s)
Application powered by Watson using QAAPI
Pose natural
language question
Communicates with
Watson using QAAPI
Get response
Optionally, further apply
Watson response and/or
other metadata
• Design a solution with Watson as a key component
• Model the interaction patterns with Watson
• Create user experience mockups for the solution

Guidelines for interaction patterns with Watson
Use the following guidelines when evaluating the suitability of a specific solution:
•Tips for the “Ask” service
•Answers must be found in the content resources ingested in Watson
•Answers must be explicit in the content; Watson cannot synthesize answers
•Answers must be discrete – Watson cannot combine information from
various documents or create an answer that is a deduction from passages it
finds (future)
•Questions must not require Watson to make judgments
•Descriptive questions
•Questions can be approximately one to three sentences long
•Questions should require answers of a small paragraph (about three
sentences or less)

Watson works with different types of interactions
Training on each type of question enables Watson to provide a high quality
experience for each user
Question Type Description Example
Factoid
( only supported question capability in Jeopardy
)
Simple fact regarding time, location,
reference, quantity
Q: What fees are charged with
XXX fund?
Descriptive Description about a topic
Q: How are Roth and traditional
IRAs different?
Yes /No Simple one response answers
Q: Are Roth IRA contributions tax
deductible?
Procedural – How To How to question that returns list of steps
Q: How do I plan for college
education?
Procedural –
Troubleshooting
Troubleshooting questions
Q: Why did I have a fee charged
on my brokerage?
Definition Definition of industry terms Q: What is a 529 plan?

Using the QAAPI with Watson
Application
Component
Configure parameters, including
Basic Auth using the user id and
password for Watson Developer
Cloud, POST question;
Receive question, obtain
response JSON
Return JSON response and
authentication token
Receive response from Watson
Send response to user or further
processing
 Integrate and Interact
with Watson from Mobile
or other Self Care Apps
using a RESTful API
 Response, confidence
evidence and other
response metadata can
be manipulated, enriched
and used part of a
conversation; or to a
component in the system
downstream for further
processing

Access the Watson Developer Cloud using the
Watson Experience Manager (WEM)
With Watson Experience Manager:
• Developers use APIs to access and test
“Powered by Watson” apps
• Data Scientists can manage their content
used to enrich Watson
• User experience developers
can customize or create user interaction
models with Watson
• Domain experts can train and test their
“Powered by Watson” apps
WEM provides a role based set of tools for SME, Watson administrators, and
Domain Experts

Acquire
Cleanse
Curate
Aggregate
Contract
Identify
IBM Watson
Validate
Application
Partners
Source Prepare
Ingest
Deploy
Select Content
Build Apps w/API’s
Leverage
App Users
CRM eComm
Workforce HR
Product
Catalog
Trouble Ticket
Domain Specific Content
Providers
Email, Collaboration,
Open Data
ECM KMS
End Users
Enrich Watson: The Content Journey
Publish
Publish
Watson Content
Store
Proprietary Content
Unstructured Data From
Enterprise Apps
Public Domain & Social

Content guidelines
 IBM Watson requires a knowledge
database (corpus) that contains
information from which to formulate
correct answers
 Content ingested into IBM Watson
means that content is processed by the
system such that correct segments of
data can be quickly retrieved
 Content can come from a variety of
sources and will have to be physically
made available
 Content requires a level of cleansing
and curation for Watson to be effective
Acquire
Cleanse
Curate
Aggregate
Contract
Identify
Validate
CRM eComm
Workforce HR
Product
Catalog
Trouble Ticket
Domain Specific Content
Providers
Email, Collaboration,
Open Data
ECM KMS
Proprietary Content
Unstructured Data From
Enterprise Apps
Public Domain & Social

Content ingestion – Supported content
Types of unstructured data that can be ingested in Watson
 PDF
– Product manuals
– Financial reports (sans graphs)
– Analyst research
– User guides
– Troubleshooting guide
– Terms & conditions
– Setup & configuration guides
– Magazines & journals
 Text
– Extracted interaction logs from CRM,
Trouble ticket, care, media asset
management applications
 HTML
– Websites
– Domain independent content
– FAQ pages
– Forums
– Product descriptions
– Product catalog export
– Product reviews
– Social network extracts
 Microsoft Word
– Operational runbooks
– Policies and procedures
– Contracts and agreements
– Terms and conditions

 Understand graphics (images, videos, sound …)
 Ingest directly from a structured data source (Database, Datawarehouse)
- There are architectural patterns and capabilities in Watson to be able to
integrate with structured data sources
 Nested tabular data
 Call data records, sensor logs, meter data, etc.
What Watson cannot ingest yet ….

 Content acquisition
- Crawling
- Integration with ECM/KMS/DMS systems
- Open services for lifecycle collaboration
 Content curation
- Cleansing, preparation, aggregation & enrichment
 Content lifecycle management
- Stale content
- Refreshing content
 Content metadata, licenses & attribution
Content crawling & curation – Items to consider

Summary - 3 Key Takeaways
1
2
3
Consider the possible interaction patterns when designing your Watson app
to create the optimal user experience (including factoids, descriptive, Yes/No,
procedural, procedural troubleshooting and definitions).
The Watson Experience Manager (WEM), provides a platform to upload
content, train Watson with question and answer pairs, and test the system by
asking questions.
The process for building a Watson app involves an iterative process of
integrating Watson capabilities using the QAAPI, uploading content, training
Watson, and testing the application for the appropriate response.

Taking the Next Step
with Watson

4
How do I start my journey with IBM Watson?
1.What is the business value to the “Powered by Watson” application you
intend to build?
2.Does the application draw upon the unique characteristics and
capabilities of a cognitive offering?
3.Has the content that will fuel the application been identified and can it be
secured/licensed for the intended use?
Have a question and
answer interaction
pattern, with questions
posed in natural
language
Seek answers and
insights from a defined
content repository
comprised largely of
unstructured data
Need transparency and
supporting evidence
for confidence weighted
responses to questions
and queries
The best use cases…

Phase 1: Engage
Join IBM Partner World at http://ibm.com/PartnerWorld
Analyze use case for Watson business and technical synergy
Submit Watson Ecosystem application and receive acceptance
https://ibm.biz/watsonecosystemapply
Obtain access to the Watson Developer Cloud through the
Watson Experience Manager
1
2
3
4

Where can I go to learn more?
Apply:
https://ibm.biz/watsonecosystemapply
Share:
https://ibm.biz/watsondeveloper
Learn:
https://ibm.biz/watsonecosystem-youtube

Innovation Day Austin

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Destaque

Destaque (11)

Semelhante a Innovation Day Austin

Semelhante a Innovation Day Austin (20)

Mais de IBM Watson

Mais de IBM Watson (20)

Último

Último (20)

Innovation Day Austin