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The Age of Cognitive ComputingWAYNE THOMPSON - DATA SCIENCE TECHNOLOGIES
SARATENDU SETHI – R&D DIRECTOR COGNITIVE COMPUTIUNG
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Cognitive Computing & SAS
Roadmap
Demonstrations
Image Analysis – Convolution Networks
Sentiment Analysis - Mendix / SAS APP
Project Aristotle – Personal Data Scientist
Key Takeaways
Agenda
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Cognitive Computing Data Intelligence Modeling Intelligence Human Intelligence
Big Data
More Accuracy
Deep Learning
More Understanding
Cognitive Computing
More Human-like Decisions
Analytic Continuum
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SAS Vision
Enable more “human-like” interactions with our
software solutions. Reason on input. Explain on
output.
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Applications
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GoalsEmbed cognitive technologies throughout SAS software.
Deliver a set of cognitive APIs for customers to license and create customized applications.
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Two Parallel Business TracksProgramming
Visual
applications
SAS Open Ecosystem
Apps
SAS Products & Solutions
APIsSolutions CAS
Analyst Computer
Scientist
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API Services
Machine Learning
• Prediction
• Scoring
• Forecasting
• Data Quality
• Recommendation
Text Analytics
• Summarization
• Sentiment
• Categorization
• Parsing
• Topics
• Document
Summarization
• Expressive Analytics
• Narrative Summaries
Computer Vision
• Image Processing
• Image Classification
• Face Detection
C o g n i t i v e C o m p u t i n g
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Demo
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Project Aristotle A SOCIAL COGNITIVE APPLICATION
What is deposited in the
knowledge bank?
• User-data interactivity
• User-User interactivity
• Data-data similarity
• What data are popular?
• What insights are popular?
• What questions are hot?Data Lake
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Demo
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Key Takeaways
COGNITIVE COMPUTING
• Cognitive Era at SAS
• Cognitive Computing CAS actions mid 2017
• API delivery with reference applications mid 2017
• Make cognitive computing pervasive throughout the SAS
software stack
Need to
Know
®™
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