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The AI Product Manager's Handbook

The AI Product Manager's Handbook

By : Irene Bratsis
4.6 (28)
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The AI Product Manager's Handbook

The AI Product Manager's Handbook

4.6 (28)
By: Irene Bratsis

Overview of this book

Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed. The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products. You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this book, you’ll have understood how to navigate the world of AI from a product perspective.
Table of Contents (19 chapters)
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1
Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
7
Part 2 – Building an AI-Native Product
13
Part 3 – Integrating AI into Existing Non-AI Products

Benchmarking Performance, Growth Hacking, and Cost

In this chapter, we will understand the benchmarking needed to gauge product success in all its various forms. Rather than exploring the performance of the models, we will be looking at performance from a product and growth perspective, including value metrics, north star metrics, key performance indicators (KPIs), and objectives and key results (OKRs) that companies can use to get early signals on whether their product strategy is successful and will lead to growth hacking. We will also be discussing how companies can prepare themselves to defend their product when it’s compared to other products.

Before we get into the particulars of benchmarking performance, pricing, and growth hacking, let’s set the stage a bit. All these aspects are tools that we use to decipher whether things are going well or not. However, by far the greatest marker of whether your product is a good choice for the customers you’re looking...

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The AI Product Manager's Handbook
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