Jobs requiring artificial intelligence skills in the US has grown 450% in the last five years. Corporations are seeking relentlessly for product leaders who can utilize AI technologies on their products and services to improve the company’s bottom line or top line. It's called the Fourth Industrial Revolution, and it is happening right here, right now. However, as a Product Manager, how do you gain the necessary knowledge to analyze, understand, plan, and design products based on artificial intelligence technologies? Since you cannot get a college degree in AI Product Management, how do you adapt to this rapid change? In this talk, Adnan helped to answer these questions.

1. Artificial Intelligence for Product Managers by
former Yahoo! PM
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7. Adnan Boz
TONIGHT’S SPEAKERS
Former

8. AI Strategy And Techniques
For Leaders
by Adnan Boz
Co-founder of Move to AI
05/2018

9. ● Why AI?
● What Algorithms?
● HOW to build an AI Strategy for your Business
People
Practices
Solutions
Environment
Partnerships
Agenda

10. Either you are using AI or your business is dying
Profit Margin Deviation From Industry Average

11. Our Responsibility
“High-tech innovation and marketing expertise are
two cornerstones of the U.S. strategy for global
competitiveness.
We will never have the lowest cost of labor or raw
material, so we must continue to exploit
advantages further up the value chain.”
- Geoffrey A. Moore -
Crossing The Chasm

12. Business Domain
Brand Image
Growth Strategies
Revenue Streams
Cost Structure
Customer Satisfaction
Partnership
Corporate Vision
Legal
...
AI Solution Domain
Recommenders
Image Recognition
Voice Recognition
Language Processing
Conversational Agents
Prediction
Forecasting
Clustering
...GAP

13. Maslow’s Law: Hammering The Problem
Amazon AWS
Machine Learning
Your
Current Profit
Your
Target Profit

14. Strategic Change
“The organization's response to environmental change, constrained by the
momentum of the bureaucracy and accelerated or dampened by the leadership”
Henry Mintzberg
Management Science
Intended
Strategy
Deliberate
Strategy
Unrealized
Strategy
Emergent
Strategy
Realized
Strategy

15. COGNIFICATION“COGNIFICATION”

16. Cognification In Every Business Aspect
People
Practices
SolutionsEnvironment
Relationships

17. SolutionsEnvironment
Relationships Practices
People

18. Cognification In Every Department
Marketing
Production
R&D
IT
QA
HR
Logistics
Business Dev
Customer Service
AI
Task Processing
Decision Support
Decision Making
Legal
Executive
Sales
Finance

19. © 2018 Move to Ai. All rights reserved. course@movetoai.com
What does it mean to be an AI Product Manager?
AI Product
Lifecycle
Knowledge
AI
PM
Industry Specific
Domain
Expertise
Core Product
Management
Skills
Specific AI
Solution
Understanding

20. © 2018 Move to Ai. All rights reserved. course@movetoai.com
Why Do We Need AI PMs?
Technology
● AI technologies are unlike classic software
technologies
Teams
● Teams building AI products or services are unlike
classic technology teams
Businesses
● Business processes utilizing AI are unlike classic
processes
Effect
● AI security, privacy and regulations are unlike other
technologies

21. © 2018 Move to Ai. All rights reserved. course@movetoai.com
AI Leadership Shortcomings
Lack of Higher Education
● There is no AI PM higher degree to acquire the necessary knowledge to analyze, understand, plan,
and design Artificial Intelligence products and services
Variable Industry Experience
● AI projects vary from product to product
Lack of Standards
● No AI product methodologies, frameworks or lifecycles are standardized yet
Lack Of Focus On The Bigger picture
● Most of the progress is in algorithms, there is almost no progress in AI Vision and Strategy building

22. CAIO AI Product
Manager
AI Product
Owner
AI Architect Data
Scientist
Data
Engineer
Hiring
Training
Consulting
Outsourcing
Cognifying
Production Team Strategies

23. CAIO AI Product
Manager
AI Product
Owner
AI Architect Data
Scientist
Data
Engineer
Hiring
Training DeepLearning.Ai - Coursera
Consulting
Outsourcing
Cognifying
Production Team Strategies

24. People
SolutionsEnvironment
Relationships Practices

25. AI Opportunities
What are we looking for?
● Automation Opportunities
○ Working processes
○ High human error or high cost
● Optimization Opportunities
○ Automations with sub-optimal performance
● Expansion Opportunities
○ A different geographical region
○ A different product
● Innovation Opportunities
○ Research budget

26. Complexity In AI Projects
Areas of Complexity
1. Organization
2. Technology
3. Process
4. Regulation
Factors of Complexity
1. Uncertainty
2. Ambiguity
3. Unpredictability
4. Rigidity
Disruptive InnovationsSustaining Innovations

27. Right Method
Automation Optimization Expansion Innovation
Complexity
Methods
Agile
GV Design Sprint
Lean Startup
GV Design Sprint
Design Thinking
Agile
Design Thinking
Lean Startup

28. Agile AI
Product
Lifecycle
Design
Sprint
Business,
Requirement &
Data Analysis
Build
Measure &
Maintain
AI Solution
Research
Rapid
Experimentation
Release

29. Practices
People
Environment
Relationships
Solutions

30. is it
5PM?
Handcrafted
Knowledge
Where Are You On The AI timeline?
Statistical
Learning
Contextual
Adaptation
Artificial
General
Intelligence
Rule Based
Systems
Machine
Learned System
Self Generalizing
System
Free Acting
Systems
“If, then, else”
“Because of these,
highly likely that”
“Probably this way” “I want ice cream”
Turn on
A/C
Date
Weather
Pref.
Temp
Set A/C
to 78°Yes
Context
Set A/C to 75°
and order ice
creamMemory
?
Time

31. What Can We Expect From AI?
Handcrafted
Adaptive
Human
Statistical

32. AI Solution Domain
1. Prediction, Fraud detection, Image classification, Sentiment Analysis etc.
○ Supervised Learning
■ Modeling by mapping inputs to known outputs in data
2. Recommenders, Customer Segments, Compression, Targeting etc.
○ Unsupervised Learning
■ Modeling unknown patterns in data
3. Robot Navigation, Gaming AI, Dynamic Pricing, Next Best Offer etc.
○ Reinforcement Learning
■ Modeling policies relative to the environment

33. Practices
People
Solutions
Relationships
Environment

34. Hidden Dangers Of Black Box AI
“word embeddings trained on Google News articles exhibit female/male gender
stereotypes to a disturbing extent”
[Bolukbasi et. al. 2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings]
https://arxiv.org/pdf/1607.06520.pdf
Man Woman

35. Environmental AI Strategy
1. Enforce Transparency
○ Local Interpretable Model-Agnostic Explanations
(LIME, https://github.com/marcotcr/lime)
2. Manage Risk
○ Risk Management Framework
3. Adapt Safety Mindset
○ Safety Testing
○ Safe Artificial General Intelligence (AGI) Strategy
(OpenAI)
4. Manage Information Security
○ White Hat AI Hacking
○ ISO/IEC 27001

36. Practices
People
Environment Solutions
Relationships

37. ● IP & Know-how
○ End-to-end AI Know-how
○ Proprietary AI Models
○ Proprietary Datasets
● Scaling & Geo-expansion
○ Time-to-market
○ Resources constraints
○ Geographical
● License & Regulations
○ Privacy concerns
○ Security concerns
○ Transparency concerns
Partnership Driving Factors

38. AI Product
Lifecycle
Knowledge
Executive
Industry
Domain
Expertise
Core
Executive
Skills
AI Solution
Domain
Expertise
New Executive Skills - Consulting
AI
Consulting

39. ● Cognification
People; about all teams
Practices; identifying AI opportunities
Solutions; solution domain
Environment; dangers and strategy
Partnerships; driving factors
Summary

40. Sunnyvale, CA
consult@movetoai.com
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+1 (408) 475-2601
Capstone Project Collaboration

41. Part-time Product Management Courses in
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