Artificial intelligence (AI) is the science of training systems to emulate human tasks through learning and automation. It has evolved from neural networks in the 1950s-1970s to today's machine learning, deep learning, and cognitive systems. AI can be both a threat and opportunity - it can help businesses gain competitive advantages through increased efficiency, customer insights, and reduced costs, but may also replace some human jobs. The document then provides examples of how companies in various industries like telecom, manufacturing, financial services, and conservation are using AI capabilities like machine learning, natural language processing, forecasting and optimization to solve problems. In general, humans are good at common sense, creativity and empathy while machines are good at processing large datasets,

1. What is Artificial Intelligence (AI)?
An AI presentation from SAS

2. Understand
Context
Learn
Patterns
Recognize
Objects
Artificial Intelligence
is the science of training systems to
emulate human tasks through
Learning and Automation

3. Evolution of Artificial Intelligence
Neural Networks
1950s-1970s
Machine Learning Deep Learning and
Cognitive Systems
1980s-2010s Present Day

4. Today, AI can be both
Threat and Opportunity
Gain Competitive Edge
Find Growth Trends
Customer Centricity
New Capabilities
Efficiency in Process
Process Elimination
Workforce Transformation
Reduced Time to Value
Reduced Cost
Improved Margin
THREAT OPPORTUNITY
RATIONAL
Lose Competitive Edge
Miss Market Trends
Reduced Customer Engagement
IRRATIONAL
Massive Job Loss
Robots Replace Humans
We Lose Control

5. Rogers
Telecom
53%
fewer customer
complaints
SciSports
Pro Sports
200,000
players analyzed to
find the next star
Honda
Manufacturing
<60 secs
to identify
suspicious claim
WildTrack
Data for Good
90%
accuracy for ID of
wildlife using tracks
SunTrust
Financial Services
90%
improvement
in response rate
How we’re working with customers
today to make AI an Opportunity

6. How does artificial intelligence work?

7. US
GOOD AT
COMMON SENSE
INTUITION | CREATIVITY
EMPATHY | VERSATILITY
MACHINES
GOOD AT
LARGE DATA SETS
COMPLEX CALCULATIONS
LEARNING | AUTOMATION
What are we and machines good at?

8. +
AI enhances our capability
and gives organizations
competitive advantage
What are we and machines good at?
US MACHINES

9. Artificial Intelligence
Infographic (in progress)

10. Machine Learning (Deep Learning)
More
compute
power
DEEP
LEARNING
Larger
data sets
More
complex
models
Better
algorithms

11. Natural Language
Natural
Language
Processing
Natural
Language
Understanding
Natural
Language
Interaction
Natural
Language
Generation

12. Predict Target
Value
Time Series
Variability
Automate
Process
Account for
Possible Actions
Assimilate
Trade-Offs
Define Critical
Constraints
Forecasting Optimization
Increase
Robustness
Analyze
Complexity
Handle
Uncertainty
SCALE SOLUTIONS
Forecasting and Optimization

13. Artificial Intelligence at SAS
Core
Capabilities
Supporting
Technologies
Machine Learning Natural Language Forecasting and
Optimization
Data Management Visualization Decision Support Deployment
Computer Vision

14. How is AI used?

15. Copyright © SAS Institute Inc. All rights reserved.
Energy
Forecasting
Use short and long-
term variability to
improve accuracy
Deep Learning

16. Copyright © SAS Institute Inc. All rights reserved.
Manufacturing
Optimization
Identify defects
during production
Pattern Recognition

17. Copyright © SAS Institute Inc. All rights reserved.
Wildlife
Conservation
Provide non-invasive
monitoring of
endangered species
Image Recognition

18. More AI resources from SAS•
• Artificial Intelligence: What it is
and why it matters
• Artificial Intelligence solutions
from SAS
• What is machine learning?
• What is deep learning?
sas.com