You're reading from The AI Product Manager's Handbook Develop a product that takes advantage of machine learning to solve AI problems

Product type Paperback

Published in Feb 2023

Publisher Packt

ISBN-13 9781804612934

Length 250 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Irene Bratsis

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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 FREE CHAPTER

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

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18. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A/B testing 90

model deployment strategy 17

A/B testing tools 163

accuracy optimization 54, 55

Adaptive AI 188

AI adoption 178

potential risks, anticipating 179-181

AI adoption trends 188

autonomous AI development 191

creative AI 191

embedded AI 189, 190

ethical AI 190

general trends 188, 189

AI costs and pricing

managing 166

reference link 166

AI customization

verticals and customer groupings, consideration 98, 99

AI enablement 192, 193

AI Forum

reference link 105

AI Global Surveillance (AIGS) 78

AI/ML product dream team 91

AI/ML/data strategists 92

AI PM 92

customer success 95

data analyst 93

data engineer 92

data scientist 93

frontend/backend/full-stack engineers 94

marketing/sales/go-to-market team...

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Table of Contents (19) Chapters