ai in the enterprise – making corporations smart again
TRANSCRIPT
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AI in the Enterprise
Making Corporations Smart Again
Danny LangeVice President of AI & ML
Unity Technologies
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Head of Machine Learning
GM of Amazon MLRetail / AWSDevelopment ManagerAnalytics / ML ToolkitComputer ScientistIBM Research
VP of AI & ML
About Danny Lange
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About Unity
Leading global game industry
software
• 5 Billion Downloads Q3 2016• 2.4 Billion Unique Devices• 700 Million Gamers• 34% of top 1000 free mobile
games
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Typical Business Challenges
• Lower prices• Faster delivery• Higher customer service expectations• Demand volatility• High number of products• Supply complexities• More frequent shipments• Transparency and sustainability
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What Was Before Machine Learning?Human versus machine
PROGRAM
“ALL-KNOWING PROGRAMMER”
DATA RESULTS
FEEDBACK
Clockwork Universe
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Machine Learning in our BusinessHuman versus machine
MODEL
LEARNER
DATA PREDICTIONS
HISTORIC DATA
Indeterminism
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OODA Loop (John Boyd)
Heisenberg's Uncertainty Principle• There is a limit on our ability to observe reality with precision.
Gödel's Incompleteness Theorem•Any model of reality is incomplete and must be continuously refined in the face of new observations.
Second Law of Thermodynamics (Entropy) - Ludwig Boltzman•Any given system is continuously changing even as we try to maintain order
Changing Anything Changes Everything
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Multi-armed Bandit
Objective: Maximize winningsExploitation vs Exploration• Gaining knowledge• Max payout with current
knowledge Environment• Cost• Adversarial
X% Y% Z%
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Reinforcement LearningThe Autonomous Corporation
• Q Learning• Reward Function – scalar value• Objective – find sequence of actions that optimizes Reward Function
• The Snake – Progression Learning• Breakaway – Short-term value versus long-term value• Deep Net offers an powerful representation of the cumulative
reward• Deep Q and A3C
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So Where Does AI Leave Data Science?Operating at the Cohort of One
• AI Operates a scale• Extreme scale – 1-1 relationship between company and
customer• Extreme speed – better get to know the customer quickly• Optimize and personalize more important than analyze
• Data Science should move up the food chain• Data Scientists should become strategic• Start looking around corners• Become customer advocates / ombudsperson
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Danny LangeVice President, AI & Machine Learning+1 [email protected]
Thank You
@danny_lange
dannylange
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