This document discusses cognitive computing and its applications. It defines cognitive computing as systems that learn at scale, reason with purpose, and interact naturally with humans. Examples provided include using cognitive systems to improve the success rate of a guide dog program by better matching trainers and dogs, and developing conversational agents/chatbots. The document emphasizes that cognitive computing relies on analyzing both structured and unstructured data using technologies like machine learning and natural language processing.

1. © 2015 IBM Corporation
Daryl Pereira
IBM / Nustory
@CagedEther
Towards a cognitive
business

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Shift to digital

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Structured vs
Unstructured
data
– Structured: customer
accounts, transactional data,
supply chain
– Unstructured: natural
language, customer behavior,
video

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The growing importance
of the cloud
– Store and process massive
amounts of data
– Connect cognitive services via
API economy
– Innovate at speed and disrupt
markets

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What is cognitive
computing?
“Cognitive computing refers to
systems that learn at scale, reason
with purpose and interact with
humans naturally.”
– IBM

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Guiding Eyes
Genetic data
from breeding
program
(structured)
Questionnaire
data from
raising program
(unstructured)
$50k program
has 36%
success rate

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Guiding Eyes
Genetic data
from breeding
program
(structured)
Questionnaire
data from
raising program
(unstructured)
$50k program
has 36%
success rate
Create better trainer
matches using IBM Watson
personality insights

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Hilton robot
concierge
– Responds to questions using
natural speech
– Taps into massive online
database to offer best
recommendations
– System gets cleverer the more it
interacts

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Warriors Cognitive Analysis

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Try for yourself
http://roztayger.com/match/designer

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New levels of
engagement:
chatbots
http://www.assi.st/

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What’s next?
– Value proposition
What problem does it solve, why will people
want it?
– Solution
What is the proposed solution, from
technology through to process and design
– Business case
How can the solution sustain itself in the
long-term?
Daryl Pereira
IBM / Nustory
@CagedEther