the age of cognitive computing - sas institute€¦ · cognitive computing •cognitive era at sas...

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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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