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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Red flags and green flags – what to look for and watch out for

Moving forward into the wide frontier of AI products includes some common pitfalls in AI transformation, as well as markers for success. We will call them red flags and green flags and they’re signals you can pick up on as you go through this process of getting your product ready for AI adoption. Some of these will be concrete actions or results and some will be more emotional, but either way, you can use them as markers to know whether you’re on the right path or whether you’re hitting potential rough patches. In the following subsections, we’ll address a few red and green flags. Let’s get started.

Red flags

Red flags are behavioral patterns we can try and look out for that indicate there is an issue with a process we’re setting forth. Because AI adoption is such a revolutionary undertaking for any company to take on, it’s best to look out for some of these...