4. 4
Today we’re in the midst of an
information revolution.
Health data
will grow
99%
Insurance
data will grow
94%
Utilities data
will 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.
6. There are three capabilities that differentiate cognitive
systems from traditional programmed computing
systems.
Reasoning
They 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.
Learning
They 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.
Understanding
Cognitive systems understand like humans
do, whether that’s through natural language
or the written word; vocal or visual.
6
7. 7
Examples include:
Analyst reports
tweets
Wire tap transcripts
Battlefield docs
E-mails
Texts
Forensic reports
Newspapers
Blogs
Wiki
Court rulings
International crime database
Stolen vehicle data
Missing persons data
Data, information, and expertise create the
foundation.
Cognitive systems rely on collections of
data and information:
10. Retrieve and Rank
10
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 Insights
Relationship 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 Cl
assifier
Tone Analyzer
11.
12. 13
As the Watson technology evolves and deepens,
so too are the ways it’s being put to work in the world.
36
Countries
50,000
Students
in Melbourne
5.5M
Citizens
in Singapore
8
Languages
Learned by Watson
160
Universities
offering Watson courses
400+
Partners
Powered by Watson
1.1M
Patients
at Bumrungrad
29
Industries
80K
Developers
building with Watson
19. 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
20. 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
22
21. Watson Assistant
Accurate: Watson is
trained on the actual content
providing authoritative answers
Accessible: Watson is deployed
directly to the point of interaction
through the “right” technology at the
right time
Expert
The RulesEmployees
Efficient: Watson deflects many
questions, allowing people to
act on the “interesting” ones
Evolving: Watson keeps up
with 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 making
important decisions at the time they are making decisions, we reduce
the cost of both compliance and non-compliance
23
22. Watson Research Assistant
Accessible: Watson
understands and interacts
in natural language
Fast: Watson is designed to
work in real time on massive
amounts of data
Research RepositoryAttorney
Comprehensive: Watson includes
all 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
Case
Law
Internal
Memos
Law
Review
Industry
Journal
Blogs
Data
Rooms
24
27. 29
“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