Innovation and Cognitive Computing
Juan Andrés Avilés Sánchez
CTO Enterprise Spain II
[email protected]
@JuanAAvilesIBM
Innovation: ―Something new or different is introduced‖
© 2016 IBM Corporation
2
Four Types of Innovation
Breakthrough: breakthrough innovation
is what most people think of when they
think of innovation – something new,
bold and way ahead of the next best
thing. Additionally, a breakthrough
product often combines the functionality
of several different products all into one.
Innovation (Disruptive): Simple, Low
Cost Solution to Your Customer’s
Problem.
Renovation (Sustaining): improving
the current product by developing
generations 2, 3, 4, 5 and so on until the
product reaches the end of it’s life cycle.
Normally large
Extensions (New Market): extension
refers to applying a current product in a
new way and sometimes even for a
different segment of customers.
Breakthrough
Innovation
Projects (%)
Renovation
Extensions
0%
20% 40% 60%
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Innovation example: Nespresso
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RMIT University – Melbourne
Self –cleaning clothes
6 minutes at sunlight
bioo
To produce electricity from the simple, every-day process
in which plants rely on to survive, photosynthesis
© 2016 IBM Corporation
Disruption is upon us.
The biggest taxi company
owns no cars.
The largest accommodation company
owns no real estate.
The largest retailer
carries no inventory.
The biggest media company
owns no content.
Common elements in all those Disruptive Innovation Examples?
Technology
Actionable
Insights
Collaborative Talent
Digital Innovations
Consumers
New Experiences
Flexible
Operations
New Ways of
Working
Scalable
Ecosystem
Ecosystem
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But not only innovation….
1978 – First Digital Camera, by Kodak
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Some industry trends to watch and follow
-
Cognitive Computing
BlockChain
Industry 4.0 (IoT)
Virtual Reality
4D Printing
© 2016 IBM Corporation
Some industry trends to watch and follow
-
Cognitive Computing
BlockChain
Industry 4.0 (IoT)
Virtual Reality
4D Printing
…but do not forget security
© 2016 IBM Corporation
Cognitive Computing: Watson
Research
Project
Jeopardy!
Grand Challenge
Internal
Startup Division
IBM Watson
Group
2006 – 2010
2011
2011 – 2013
2014 – present
Commercialization
Validation
Demonstration
R&D
$1B Investment
$100M for Ecosystem
© 2016 IBM Corporation
NYC Headquarters
Why do we need Cognitive Systems?
2.5B
12%
gigabytes of new data generated everyday, 80%
Most companies claim they
non-structured
only analyze 12% of data
they have. A doctor would
1
of each
2
need 160h in order to read
all news published about its
specialty in one week.
CEOs affirms not to have the right information at the
time of taking critical decisions.
© 2016 IBM Corporation
Three capabilities differentiate cognitive systems from traditional
programmed computing systems…
Learning
Reasoning
Understanding
Cognitive systems understand
like humans do.
They reason. They understand
underlying ideas and concepts. They
form hypothesis. They infer and
extract concepts.
They never stop learning getting
more valuable with time. Advancing
with each new piece of information,
interaction, and outcome. They
develop ―expertise‖.
…. allowing them to interact with humans.
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Systems also learn from interaction
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Cognitive systems forge a new partnership between man and machine.
Cognitive Systems
excel at:
Humans excel at:
Locating Knowledge
Common Sense
Pattern Identification
Morals
Natural Language
Imagination
Machine Learning
Compassion
Abstraction
Eliminate Bias
Endless Capacity
Dilemmas
Dreaming
Generalization
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Use Case example: Cognitive Mergers and Acquisitions
Winnow selects between
~10,000 companies ~5-10
will be in due diligence
phase.
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The price
of not knowing.
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19
Cognitive systems rely on collections of data and information:
Data, information, and expertise create
the foundation.
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
© 2016 IBM Corporation
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…and then leverage Watson APIs to apply
cognitive capabilities
Retrieve and Rank
50 underlying technologies
Entity Extraction
Sentiment Analysis
Emotion Analysis (Beta)
Keyword Extraction
Concept Tagging
Taxonomy Classification
Author Extraction
Language Detection
Text Extraction
Microformats Parsing
Feed Detection
Linked Data Support
Concept Expansion
Concept Insights
Dialog
Document Conversion
Language Translation
Natural Language Classifier
Personality insights
Relationship Extraction
Retrieve and Rank
Tone Analyzer
Emotive Speech to Text
Text to Speech
Face Detection
Image Link Extraction
Image Tagging
Text Detection
Visual Insights
Visual Recognition
AlchemyData News
Tradeoff Analytics
Natural Language
Classifier
Tone Analyzer
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Watson
Narrative
Marchesa, IBM Watson
design "cognitive dress”
for Met Gala
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More Cognitive announcements
May 10, 2016
IBM announced Watson for Cyber Security—a new version of
Watson trained in the language of security and delivered via the
IBM Cloud. How will IBM launch a new era of cognitive security?
© 2016 IBM Corporation
© 2016 IBM Corporation
ROSS is built upon Watson, IBM's cognitive computer. Almost all of the legal information that
you rely on is unstructured data—it is in the form of text, and not neatly situated in the rows and
columns of a database. Watson is able to mine facts and conclusions from over a billion of these
text documents a second. Meanwhile, existing solutions rely on search technologies that simply
find keywords.
So what can ROSS do?
•
•
•
•
Provide you a highly relevant answer, not 1000s of results, to your question posed in
natural language, not keywords.
Monitor the law for changes that can positively/negatively affect your case, instead of
flooding you with legal news.
Learn the more you and other lawyers use it.
Offer a simple, consistent experience across all your devices and form factors.
Cognitoys by Elemental Path
© 2016 IBM Corporation
What are you going to do with Watson?
Watson
Narrative