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AI Product Manager's Handbook

You're reading from AI Product Manager's Handbook Build, integrate, scale, and optimize products to grow as an AI product manager

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781835882849

Length 484 pages

Edition 2nd Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Irene Bratsis

View More author details

Table of Contents (26) Chapters

Preface

1. Part 1: Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well

2. Understanding the Infrastructure and Tools for Building AI Products FREE CHAPTER

3. Model Development and Maintenance for AI Products

4. Deep Learning Deep Dive

5. Commercializing AI Products

6. AI Transformation and Its Impact on Product Management

7. Part 2: Building an AI-Native Product

8. Understanding the AI-Native Product

9. Productizing the ML Service

10. Customization for Verticals, Customers, and Peer Groups

11. Product Design for the AI-Native Product

12. Benchmarking Performance, Growth Hacking, and Cost

13. Managing the AI-Native Product

14. Part 3: Integrating AI into Existing Traditional Software Products

15. The Rising Tide of AI

16. Trends and Insights Across Industry

17. Evolving Products into AI Products

18. The Role of AI Product Design

19. Managing the Evolving AI Product

20. Part 4: Managing the AI PM Career

21. Starting a Career as an AI PM

22. What Does It Mean to Be a Good AI PM?

23. Maturing and Growing as an AI PM

24. Other Books You May Enjoy

25. Index

Additional resources

If you’re in the US and at risk of self-harm, please check out the following resources:

Crisis Text Line: Text CRISIS to 741741 for free, confidential crisis counseling
The National Suicide Prevention Lifeline: 1-800-273-8255
The Trevor Project: 1-866-488-7386

For those outside the US, check out these resources:

The International Association for Suicide Prevention lists a number of suicide hotlines by country. You can find them by going to their website (https://findahelpline.com/i/iasp). Also, check out Befrienders Worldwide (https://www.befrienders.org/need-to-talk).

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Authors (1)

Irene Bratsis

Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics and international relations from Simmons University. After completing various MOOCs in data science and big data analytics, she completed a data science apprentice program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.

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