AI is reshaping industries and products. This book helps Product Managers understand how to use AI tools to plan, design, and deliver great products. It explains the AI stack and strategic frameworks to decide how to integrate AI features into products; how to use GenAI to perform customer discovery and market research; it presents tools for prototyping and validation of product MVPs; and it explains how the Product Development Life Cycle and the Model Development Life Cycle intersect when creating AI-driven products.
This is not a theoretical textbook based on research: it is a practical guide for Product Managers to learn what AI can do and to implement AI technologies into their products. Various use cases are discussed to analyze real-life applications. Practical frameworks are presented to help make decisions on what type of AI to use, on the cost structure and business model to adopt, and on the key metrics to track to ensure that value is delivered to customers.
AI does not replace Product Managers: it expands and empowers them. Traditional Product Management practices are still important. Product Managers are not supposed to become data scientists by building complex data models that drive AI algorithms, but with this book, they will learn the foundational aspects to make informed decisions on their products – and work more closely with data scientists and engineering teams.
