You're reading from The AI Product Manager's Handbook

Product type Book

Published in Feb 2023

Publisher Packt

ISBN-13 9781804612934

Pages 250 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Irene Bratsis

Table of Contents (19) Chapters

Preface

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

2. Chapter 1: Understanding the Infrastructure and Tools for Building AI Products

3. Chapter 2: Model Development and Maintenance for AI Products

4. Chapter 3: Machine Learning and Deep Learning Deep Dive

5. Chapter 4: Commercializing AI Products

6. Chapter 5: AI Transformation and Its Impact on Product Management

7. Part 2 – Building an AI-Native Product

8. Chapter 6: Understanding the AI-Native Product

9. Chapter 7: Productizing the ML Service

10. Chapter 8: Customization for Verticals, Customers, and Peer Groups

11. Chapter 9: Macro and Micro AI for Your Product

12. Chapter 10: Benchmarking Performance, Growth Hacking, and Cost

13. Part 3 – Integrating AI into Existing Non-AI Products

14. Chapter 11: The Rising Tide of AI

15. Chapter 12: Trends and Insights across Industry

16. Chapter 13: Evolving Products into AI Products

17. Index

Why subscribe?

18. Other Books You May Enjoy

References

Predictions 2022: Successfully Riding The Next Wave Of AI: https://www.forrester.com/blogs/predictions-for-2022-successfully-riding-the-next-wave-of-ai/
What’s New in Artificial Intelligence from the 2022 Gartner Hype Cycle: https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2022-gartner-hype-cycle
What’s New in the 2022 Gartner Hype Cycle for Emerging Technologies: https://www.gartner.com/en/articles/what-s-new-in-the-2022-gartner-hype-cycle-for-emerging-technologies
McKinsey Technology Trends Outlook 2022 report August 2022: https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/the%20top%20trends%20in%20tech%202022/mckinsey-tech-trends-outlook-2022-full-report.pdf
Predictions 2023: AI Will Become An Indispensable, Trusted Enterprise Coworker: https://www.forrester.com/blogs/predictions-2023-ai/
Gartner Identifies Four Trends Driving Near-Term Artificial Intelligence...

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Authors (1)

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 after completing various MOOCs in data science and big data analytics, she completed a data science 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.

See other products by Irene Bratsis