Transcript February 8, 2017

It’s Time for Cognitive Computing
February 8, 2017
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The Cognitive Era Unleashes Two
Digitization Waves
Mainframe
IT Era
PC + Web
1960
IoT + Analytics + Automation
((Machine Learning
Cloud + Mobile
1980
2015
2005
People Centric Digitization
x86
Linux
Web
VMs
iPhone
Cloud
Containers
Cognitive
Computing
Machine Centric Digitization
Drivers of
Innovation
Enterprises
Consumer
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Digitization (Data)
& IoT (Machines)
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Three worlds are converging: IT,
Human and Physical Worlds
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Processing moves to the data
In previous computing eras we
moved the data to the processing
In the 4th Era processing moves
to the data
IoT Device
Processing
Data
Processing
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What is cognitive computing?
Cognitive computing systems learn and interact
naturally with people to extend what either
humans or machine could do on their own. They
help people make better decisions by
penetrating the complexity of Big Data.
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The Modern AI Hardware is Real –
Ready Now
Google TPU
Facebook FAIR
Intel Movidius
NVIDIA GPUs
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Cognitive Computing
Artificial
Intelligence
Machine
Learning
1950s
1980s
Deep
Learning
2010
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What is cognitive computing?
Software that combines the power of computing
with brain-like intelligence to solve and even
anticipate complex problems.
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Levels of Cognitive Computing
Machine Learning
Speech
Recognition
Vision
Bots
Weak
AI
Strong
AI
Degrees of Cognitive Computing
Affected Computing
NLP
Handwriting Recognition
Deep Learning
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Cognitive Use Cases
Expert Systems
Natural Language Processing
Virtual or Digital Assistants
Recommender Systems
Bots
Vision Systems
Speech Recognition
Handwriting Recognition
Gaming
Robotics
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Essential Technologies for
Cognitive
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IT and OT Begin to Merge and the
Modern Enterprise Shifts
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Cognitive Application Flow
Raw data for
analysis and
training of the
model
Cloud
Services
Image tagging
Multi-dimensional
filtering
Real time
processing
Data Ingest
API(s)
Pedestrian detection
Car make / model
License plates
Traffic / road signs
Pedestrian
avoidance
Crowd
Sourcing,
Video,
Image,
Audio
Model
training
Car safety
Real time
road sign
detection
Collision
avoidance
Model
propagation to
the edge
Edge Devices and
Computing
Cloud
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Future of Cognitive
Industries will transform and merge •
Most if not all industries will be affected •
Healthcare - opportunity to reinvent itself •
What are the Requirements?
Connectivity
with Things
Computing
at the Edge
Streaming Analytics
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Distributed Processing
Process
Orchestration
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Thank you
http://twitter.com/kerrieh
[email protected]
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