The AI Product Manager's Handbook

Overview

Irene Bratsis provides a comprehensive roadmap for non-technical product managers to lead AI initiatives. This handbook demystifies complex AI concepts, guiding readers through the process of defining AI problems, building data-driven roadmaps, and collaborating effectively with data scientists and engineers. It emphasizes the importance of data strategy and ethical considerations in creating sustainable AI products.

Key Takeaways

• How to lead AI teams without being an engineer
• Building effective data strategies for ML models
• Managing the AI product lifecycle from inception to deployment
• Understanding the economics of AI prediction

Who Should Read This Book?

Why Read The AI Product Manager's Handbook?

The AI Product Manager's Handbook is widely regarded as essential reading in the ai & machine learning productsspace for product managers. Irene Bratsis's insights have helped thousands of product professionals improve their craft and deliver better products.

Whether you're an aspiring product manager looking to break into the field or an experienced PM seeking to deepen your expertise in ai & machine learning products, this book provides practical frameworks and real-world examples that you can apply immediately.

With 98 reviews and an average rating of 4.7 out of 5, The AI Product Manager's Handbook has proven its value to the product management community. Join the thousands of professionals who have benefited from this essential resource.