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AI Product Manager's Handbook

You're reading from   AI Product Manager's Handbook Build, integrate, scale, and optimize products to grow as an AI product manager

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882849
Length 484 pages
Edition 2nd Edition
Languages
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Author (1):
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Irene Bratsis Irene Bratsis
Author Profile Icon Irene Bratsis
Irene Bratsis
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Table of Contents (26) Chapters Close

Preface 1. Part 1: Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
2. Understanding the Infrastructure and Tools for Building AI Products FREE CHAPTER 3. Model Development and Maintenance for AI Products 4. Deep Learning Deep Dive 5. Commercializing AI Products 6. AI Transformation and Its Impact on Product Management 7. Part 2: Building an AI-Native Product
8. Understanding the AI-Native Product 9. Productizing the ML Service 10. Customization for Verticals, Customers, and Peer Groups 11. Product Design for the AI-Native Product 12. Benchmarking Performance, Growth Hacking, and Cost 13. Managing the AI-Native Product 14. Part 3: Integrating AI into Existing Traditional Software Products
15. The Rising Tide of AI 16. Trends and Insights Across Industry 17. Evolving Products into AI Products 18. The Role of AI Product Design 19. Managing the Evolving AI Product 20. Part 4: Managing the AI PM Career
21. Starting a Career as an AI PM 22. What Does It Mean to Be a Good AI PM? 23. Maturing and Growing as an AI PM 24. Other Books You May Enjoy
25. Index

Preface

It’s hard to find anyone these days who doesn’t have strong reactions to AI. I’ve watched my own feelings evolve with its rise, ebbing and flowing over the years. As a student, I felt an overwhelming excitement and optimism about where AI – and the fourth industrial revolution it accompanies – might lead us. That initial thrill was tempered as I began organizing AI events with virtual speakers and managing a data and AI book club. I adopted a monthly practice of learning about how bias and dependence on AI compromise our lives in both visible and unseen ways. AI is a double-edged sword – capable of driving immense progress but fraught with ethical dilemmas, privacy risks, and the perpetuation of biases we’re still struggling to confront in the real world today.

And so, we arrive at one of the greatest debates that resurfaces with every technological leap: do we dare embrace powerful technology even when we’re aware of the risks? As far as I see it, we don’t really have a choice – the debate itself is an illusion we indulge in. With the rise of accessible, generative AI tools available today, it’s clear that it’s here to stay. Nihilistic fears about it won’t protect us from harm. Pandora’s box is open, and as we peer into what remains inside, we find that hope springs eternal. AI is shaping our future, whether we’re ready or not. It has the potential to enhance human creativity and address pressing global challenges. Yet, the more we integrate this technology, the more we must ensure that AI serves humanity, and not just the interests of a few. Philosophically, the questions AI raises about intelligence and consciousness are essential to redefining what it means to be human in an age where machines can think, adapt, and even create.

I wanted to write a book about AI product management because it’s the makers of products who transform possibilities into realities. Understanding the intricacies of how to ideate, build, manage, and sustain AI products with integrity, to the best of my ability, feels like the greatest contribution I can offer to this field at this moment in time. I’m encouraged by the collective bargaining power of individuals demanding that companies adopt AI ethically and responsibly. I’m relieved that so many AI product teams today prioritize human-centered design and are committed to building products they can proudly bring to market. This shift holds a mirror to our biases and prejudices, prompting us to look deeply into the reflection we see – asking whether we truly like what we’ve created. It places the human experience of AI front and center, encouraging us to build expressions of AI that reflect our highest aspirations rather than our deepest flaws.

It’s been an honor to deliver this second edition.

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