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

View More author details

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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General trends

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