Main Takeaways: -What does it mean to work and be a Product Manager that develops AI products? -The challenges and opportunities of making an AI product. -Types and examples of AI-based product development.

1. www.productschool.com
How to Develop AI Products by
Amazon Sr Product Manager

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4. Free Product Management Resources
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5. Webinar: AI Product Development
by Sr. PM @ Amazon

6. Marzieh Nabi, PhD
S P E A K E R
Senior Product
Manager

7. A B O U T M E
Education: PhD/MSc @ UW and Ignite @ Stanford
Research Scientist in AI @ PARC
Director of Business Strategy @ PARC
PM @ Automation Anywhere: AI (NLP/Computer Vision/Speech) products for enterprise process automation
PM @ eBay: Using AI to convert unstructured data to structured format
PM @ Amazon (Supply Chain Optimization Technologies)

8. The content presented here are solely based on my personal
perspectives and experiences and are not reflecting the companies I
have worked for.
The following presentation contains forward thinking and may change
over time.
Disclaimer

9. Agenda
What it means to be a product manager
for AI products
AI product development: challenges
and opportunities
Skillset
Human + AI integration/collaboration
Mindset

10. AI Product Manager

11. What is AI?
1
1
www.productschool.com
Courtesy of Stanford.edu

12. A PM in AI
1
1
There are three major pillars to this
Mindset Skillset Human Integration
Discussing each pillar in the next set of slides

13. A PM in AI: Mindset (AI is another set of tools)
Time
Growth
Introduction Growth Maturity Decline
Product Life Cycle
Conceive
Plan
Develop
Iterate
Launch
Steady
State
Maintain
/ Kill
Product
Development
Process
Most concepts in the product life cycle and product
development process would still hold!

14. A PM in AI: Skillset (Deep knowledge in AI)
Level One
(Recall)
Level
Two
(Skill/Concept)
Level Three
(Strategic Thinking)
Level
Four
(
Extended
Thinking)
Describe
Explain
Interpret
PM
Technology
Design
Business
Product Manager
Able to interpret and criticize the results, not just understand,
explain and communicate them

15. Deep knowledge in AI, why?
1
1
● Being able to analyze and criticize the solutions/data/algorithms/products
● Have to understand and communicate the limitations of the technology
● Data is an important part of the AI product development process. Have to be able to develop
and execute a data strategy
● Build trust with scientist and developers

16. A PM in AI: AI + Human
1
1
● We cannot expect AI algorithms to perform tasks with high confidence because of
○ Volatility in the data
○ Unseen events
● So we would need human to judge more complex cases
● Examples
○ Predictive maintenance
○ Customer Service Automation

17. A PM in AI: AI + Human
1
1
The integrated AI + Human product is heavy on the design elements due to
the presence of human users
The integration of AI and human products can provide a platform/venue to
collect labelled data

18. AI Product Development:
Opportunities and Challenges

19. Opportunities
1
1
Examples
● Customer service automation
● Driveless cars
● Advanced manufacturing
● Better health and wellness solutions

20. Challenges
1
1
● Stakeholders expectation management
● Data acquisition and governance
● Technology limitation and RoI/RoE calculations
● Metrics

21. Main Takeaways

22. Summary
1
1
● AI is not hammer; it is just another set of tools to solve a problem
● To become a credible product manager in AI, you should have level 4 (out of 4) depth of
knowledge on AI (or specific branch of AI you are going to use)
● Today AI + Human is a more promising solution. Think about how you can integrate these two
elements into your products

23. Feel free to reach out to me on Linkedin
https://www.linkedin.com/in/marziehnabi/
Thank You!

24. www.productschool.com
Part-time Product Management Training Courses
and
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