What happens when you add learning and automation to analytics?Artificial Intelligence (AI)

What’s powering SAS® AI?

Machine Learning and Deep LearningFind hidden insights in data without telling the machine where to look or what to conclude

Natural Language Processing (NLP)Extract business insights from large amounts of structured and unstructured content Computer VisionInterpret pictures and videos for image processing, image recognition and object detection

Forecasting & OptimizationPredict future outcomes and automate the best action given resource constraints

SAS’ vision for data scienceis not limited to innovationin tools. It has been quick tojump on any new promising

analytical methods acrossmultiple disciplines, such as

statistics, econometrics,optimization, machine learning,

deep learning and natural language interaction.

The Forrester Wave™: Predictive Analytics andMachine Learning Solutions, Q1 2017 i

How are SAS customers using AI?

Sports analyticsObject detection

provides immediate player assessments from on-field camera

footage

Energy forecastingDeep learning

improves forecasting accuracy by learning

variability in energy use

Manufacturing optimization

Computer vision automatically identifies

defects in the production process

Customer feedback

NLP interprets callcenter conversations to

filter out noise and resolve customer

concerns

Health careObject detection

recognizes lung nodule abnormalities on scans for better

patient outcomes

How did we get here?

Admittedly, it's hard to listen to an analytics

provider without hearingabout machine learning and AI. But while the rest of the world is bathing in AI hype, SAS customers

view it as evolution, not revolution.

Tony Baer, Principal Analyst at Ovum ii

Where are we headed?

72% of business leaders say AI will bring a business advantage iii

85% of customer interactions will be managed without a human by 2020 iv

1 billion video cameras will be connected to AI by 2020 v

4 billion devices currently in use include AI voice capabilities vi

$15.7 trillion will be added to economy by 2030 from AI productivity and personalization vii

2.3 million jobs created from AI while 1.8 million are eliminated by 2020 viii

Reference

i sas.com/en_us/news/analyst-viewpoints/forrester-names-sas-leader-in-predictive-analytics-machine-learning.htmlii zdnet.com/article/sas-charts-its-own-road-to-ai-and-the-cloud/ iii pwc.com/CISAI?WT.mc_id=CT1-PL52-DM2-TR1-LS4-ND6-BPA1-CN_CIS-AI-AIsocial iv socialmediaweek.org/blog/2016/02/10-stats-artificial-intelligence-foreshadow-future-society/ v nvidianews.nvidia.com/news/nvidia-paves-path-to-ai-cities-with-metropolis-edge-to-cloud-platform-for-video-analytics vi news.ihsmarkit.com/press-release/technology/digital-assistants-reach-more-4-billion-devices-2017-google-set-take-lead-ivii press.pwc.com/News-releases/ai-to-drive-gdp-gains-of--15.7-trillion-with-productivity--personalisation-improvements/s/3cc702e4-9cac-4a17-85b9-71769fba82a6 viii Gartner Press Release, Gartner Says By 2020 Artificial Intelligence Will Create More Jobs Than It Eliminates, December 2017, gartner.com/newsroom/id/3837763

SAS develops its first machine learning algorithm in 19761976

1950s-1970sNeural Networks

1980s-1990sMachine Learning

Present DayDeep Learning and Cognitive Systems

Data Size, Variety & Computer Power

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Learn more about AI at sas.com/ai