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IBM Confidential
The Cognitive Era
IBM Systems
Hans A.T. Dekkers
Bangkok
September, 2016
Hans Dekkers Director Asia Pacific
Systems ASEAN
IBM
Quick introduction
IBM Confidential
Outthink
https://w3.ibm.com/ibm/thinkacademy/?cache=9-7-14#/cognitive-business/all-ibmers
IBM Confidential
What’s the difference?
Common sense Dilemmas Morals Compassion Imagination Dreaming Abstraction Generalization
Natural
Language
Pattern
Identification
Locating
Knowledge
Machine
learning
Eliminate
Bias
Endless
Capacity
Humans excel at:
Cognitive systems excel at:
IBM Confidential
History
What is Cognitive Computing?
Let’s look back at the last two decades…
1997
Deep Blue
2014
NY Genome Center
2011
Jeopardy!
IBM Confidential
The science behind Watson
https://w3.ibm.com/ibm/thinkacademy/?cache=9-7-14#/cognitive-business/all-ibmers
IBM Confidential
2016
Analytics Cognitive
Why is Watson different?
Data Information Knowledge
A few Watson innovations available today
Healthcare
Education: Cognitoys
Italian Tiramisu
with Blue Cheese
SURPRISE
PLEASANTNESS
SYNERGY
Food
Mortgage Advisor
“Imagine one could save a life”
“Imagine one could save a life”
Closing
Learn more about Watson?
and or IBM Systems
Download videos and materials on:
ibm.biz/WATSONHD
Watson in the educational domain: cognitoys.com
Watson in the food domain: ibmchefwatson.com
Presentation by:
Hans A.T. Dekkers
DekkersH@sg.ibm.com
IBM Confidential
What Watson does:
Analyses vast amounts of data
• Structured data
• Unstructured data
Reflection
Technology Functionalities
1 Big Data and Analytics Data mining, optimization,
text analytics
2 Artificial Intelligence Machine learning, natural
language processing
3 Cognitive Experience Speech, translation, machine
vision, visualisation
4 Cognitive Knowledge Ontologies, semantics,
context
5 Computing
Infrastructure
High performance computing,
programming models & tools
Which technology sits behind Watson?
How Watson works:
Understands natural language
• Example: Last night I shot an elephant in my pyjamas
• Ambiguity of language
• Context provides meaning
Reasons by generating and evaluating
evidence-based hypothesis
• Find deep rationale for given answers
• Asks for additional information to improve responses
• Different than Google: move from basic search to discover
Learns from experts and through data
• Ingests and analyses domain sources
• Generates evidence-based decisions with confidence
• Learns with each new action and outcome
IBM Confidential
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