The SAS Perspective on Artificial Intelligence was presented by Anil Arora, Principal Data Scientist, SAS at IDG CIO 100: Reimagineering India 2020 on 6-7th Sep at New Delhi.

1. Artificial Intelligence - The SAS Perspective
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Presented By: Anil Arora
SAS Analytics Practice

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Understand
Context
Learn
Patterns
Recognize
Objects
Artificial Intelligence
is the science of training systems to
emulate human tasks through
Learning and Automation
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Past to Present
1950s 1990s 2010’s Present
Evolution of Artificial Intelligence
Classical
Modern
The term
“Neural
Network” Machine
Learning
Artificial
Intelligence
Deep
Learning
Neural Network

4. Tomorrow, AI will
impact your industry
of organizations picked Machine
Learning and AI as the most significant
data initiative for next year
Source: Machine Learning and AI survey,
O’Reilly Media and MemSQL, 2018
61%
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What is the outside view…….

5. Tomorrow, AI will
impact your industry
Increased investment in 2017 for
AI technology compared to
investment in 2016
Source: Business Tech Predictions: 10 Ways AI,
Big Data, and Cloud evolved in 2017
3x
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Our Belief
AI augments human abilities
and becomes a part of our
digital world
Our Approach
Turn Insights into action by
embedding AI within the
SAS Platform
Our Solutions
Improving areas with AI
such as Fraud, Security &
Customer Intelligence, Risk, IoT
AI at SAS
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AI augments human abilities
and becomes a part of our digital world.
Our Belief
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We
GOOD AT
COMMON SENSE
INTUITION | CREATIVITY
EMPATHY | VERSATILITY
MACHINES
GOOD AT
LARGE DATA SETS
COMPLEX CALCULATIONS
LEARNING | AUTOMATION
What are we as people and machines good at?
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+
AI enhances our capability
and gives organizations
competitive advantage
What are we and machines good at?
US MACHINES
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Turn insights into action by embedding
AI within the SAS Platform
Our Approach
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SAS embeds AI capabilities into entire Analytics Lifecycle
SAS® Data Preparation
SAS® Event Stream Processing
Forecasting & Optimization
Reporting & Dashboarding
Data Exploration
Deployment using SAS
Machine Learning
Modelling Text Data
Statistical Algorithms
Deep Learning
Deployment using
Open Source
SAS Viya

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Improving areas with AI
Our Solutions
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Use Cases:
• Personalized Offers: Digital Marketer
creates next best offer to customers
using machine learning
• Customer Sentiment: Marketing
Analyst captures sentiment for new
product using text analytics
• Optimize Channels: Digital Marketer
hones in on the best campaign delivery
channel using optimization
Out of the Box Solutions
made stronger with SAS
Solutions
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Use Cases:
• Asset Maintenance: Manufacturers
detect early warning of failure in field
assets using machine learning
• Object Detection: Builders reduce risk
and improve customer service at build
sites with computer vision
Out of the Box Solutions
made stronger with SAS
Solutions
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Claims Management
Determine extent of damage and
the cost of coverage
Video-Image Analysis

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Traffic Surveillance
Identifying the errant drivers in
real time

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Manufacturing Automotive Parts
Avoid manufacturing downtime
and improve productivity

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How can we begin
our journey together
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Let us help you get started with AI
“Lack of available skills remains
the greatest challenge for CXOs
in terms of AI deployment”
Laurence Goasduff, PR Director, EMEA ,
Gartner, Dec, 2017 1
PhD-level experts across multiple AI
technologies
Conduct assessments to accelerate your AI
innovation opportunities
Access to SAS with open tools to best fit your
unique environment
Focused exclusively on your implementations
with direct access to SAS R&D

21. Thank you
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