what happens when you add learning and automation … · what happens when you add learning and...
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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