transforming a world of data into a world of (artificial
TRANSCRIPT
Transforming a world of data
into a world of (artificial) intelligence
What is AI?
Artificial Intelligenceis the science of training systems to
emulate human tasks through
learning and automation.
Copyright © 2016, SAS Institute Inc. All rights reserved.
AI can be applied to a wide and diverse set of human tasks
What will
happen next?
Raw
dataClean data
Standard
reports
Ad hoc
reports
Visual
Analysis
Statistical
modelling
Forecasting
What
happened?
Why did this
happen?
Predictive
modelling
Optimization
What is the
best that can
happen?
REACTIVE
Rep
ort
ing
/ A
ccess
PROACTIVE
Ad
v. A
naly
tics
The Evolution in Analytics Maturity : From Descriptive to PrescriptiveMathematical programming &
reinforcement learning techniquesData mining, AI & Machine
learning techniques
Forecasting models
Visualization,
exploration
Machine & Deep Learning : game-changing enablers
Julie
Anne
Jos
Julie
Anne
Jos
Lois
Mike
Oliver
Tom
Features
Scisports : Using image analytics to assess soccer performance
Copyright © 2016, SAS Institute Inc. All rights reserved.
The Analytics Economy : changing the experience of soccer
The importance of robust and performant Deployment
Video StreamingAlgorithm Training
Ai in the fight against colon cancer
Copyright © 2016, SAS Institute Inc. All rights reserved.
Start with the obvious
Copyright © 2016, SAS Institute Inc. All rights reserved.
Copyright © 2016, SAS Institute Inc. All rights reserved.
The rise of smart insights assistants
Use AI to facilitate the GREEN lane
Transparency & Governance : Decision Monitoring and Analytics Governance
Data Lineage
SAS : A platform approach to cover AI-capabilities
Copyright © 2016, SAS Institute Inc. All rights reserved.
Machine/Deep
Learning
Natural
LanguageComputer Vision Forecasting and
Optimization
Visualization Decision Support DeploymentData
Management
Core
Support
Key Take-Aways
• AI applications have reached enterprise-readiness across sectors
• A new economy based on AI and analytics is on the rise
• Start with the obvious : internal and external customer service
• Create new innovative services/products - smart insights assistants
• Use AI to facilitate the green lane
• Pay attention to deployment/industrialization of AI and Analytics
• Analytical Governance and Transparency are key
• Attract machine learning talent or engage with niche players
• Start with real-world pilot projects and MVP’s
• Build analytical awareness & prepare for change
• Take a platform approact to cover technology capabilities
Copyright © 2016, SAS Institute Inc. All rights reserved.