14
AI in the Enterprise Making Corporations Smart Again Danny Lange Vice President of AI & ML Unity Technologies

AI in the Enterprise – Making Corporations Smart Again

Embed Size (px)

Citation preview

Page 1: AI in the Enterprise – Making Corporations Smart Again

AI in the Enterprise

Making Corporations Smart Again

Danny LangeVice President of AI & ML

Unity Technologies

Page 2: AI in the Enterprise – Making Corporations Smart Again

Head of Machine Learning

GM of Amazon MLRetail / AWSDevelopment ManagerAnalytics / ML ToolkitComputer ScientistIBM Research

VP of AI & ML

About Danny Lange

Page 3: AI in the Enterprise – Making Corporations Smart Again

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

Page 4: AI in the Enterprise – Making Corporations Smart Again

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

Page 5: AI in the Enterprise – Making Corporations Smart Again

What Was Before Machine Learning?Human versus machine

PROGRAM

“ALL-KNOWING PROGRAMMER”

DATA RESULTS

FEEDBACK

Clockwork Universe

Page 6: AI in the Enterprise – Making Corporations Smart Again

Machine Learning in our BusinessHuman versus machine

MODEL

LEARNER

DATA PREDICTIONS

HISTORIC DATA

Indeterminism

Page 7: AI in the Enterprise – Making Corporations Smart Again

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

Page 8: AI in the Enterprise – Making Corporations Smart Again

Multi-armed Bandit

Objective: Maximize winningsExploitation vs Exploration• Gaining knowledge• Max payout with current

knowledge Environment• Cost• Adversarial

X% Y% Z%

Page 9: AI in the Enterprise – Making Corporations Smart Again
Page 10: AI in the Enterprise – Making Corporations Smart Again
Page 11: AI in the Enterprise – Making Corporations Smart Again

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

Page 12: AI in the Enterprise – Making Corporations Smart Again

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

Page 13: AI in the Enterprise – Making Corporations Smart Again

Danny LangeVice President, AI & Machine Learning+1 [email protected]

Thank You

@danny_lange

dannylange

Page 14: AI in the Enterprise – Making Corporations Smart Again