What do you think?
Rate this book
The Art of AI Product Development: Delivering business value
A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.
The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking—foundations that remain relevant as the field evolves.
Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI,
• Identifying market and business opportunities for AI
• Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems
• Assembling AI solutions that work, without the hype
• Efficiently communicating with data scientists and ML engineers
• Designing user-friendly AI interfaces that emphasize trust and transparency
• Implementing safe, ethical AI with proper governance processes
The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You’ll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications.
About the technology
Integrating AI into your software and processes can create real value for your business and its customers—if you do it right. When you’re on the hook for delivering AI-enabled products, you’ll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how.
About the book
The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability.
What's inside
• Ideate, shape, and prioritize AI opportunities
• Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI
• Communicate with different AI stakeholders and promote AI adoption
About the reader
Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required.
About the author
Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen.
Table of Contents
Part 1
1 Creating value with AI-driven products
2 Discovering and prioritizing AI opportunities
3 Mapping the AI solution spa
The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking—foundations that remain relevant as the field evolves.
Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI,
• Identifying market and business opportunities for AI
• Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems
• Assembling AI solutions that work, without the hype
• Efficiently communicating with data scientists and ML engineers
• Designing user-friendly AI interfaces that emphasize trust and transparency
• Implementing safe, ethical AI with proper governance processes
The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You’ll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications.
About the technology
Integrating AI into your software and processes can create real value for your business and its customers—if you do it right. When you’re on the hook for delivering AI-enabled products, you’ll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how.
About the book
The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability.
What's inside
• Ideate, shape, and prioritize AI opportunities
• Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI
• Communicate with different AI stakeholders and promote AI adoption
About the reader
Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required.
About the author
Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen.
Table of Contents
Part 1
1 Creating value with AI-driven products
2 Discovering and prioritizing AI opportunities
3 Mapping the AI solution spa
- GenresArtificial Intelligence
368 pages, Paperback
Published July 15, 2025
10 people are currently reading
34 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 10 of 10 reviews
July 15, 2025
This is a good book for anyone with out a deep product background, or if you're a product person and trying to see how to analyze and understand how AI changes the developer, user, and product experience.
A great intro for those trying to determine how to define your products in the age of AI, and a good refresher for those in the field.
Especially helpful are the sections on mapping the solution space, identifying where AI might be problematic (e.g. effects of bias) and defining how it changes your user experience.
A great intro for those trying to determine how to define your products in the age of AI, and a good refresher for those in the field.
Especially helpful are the sections on mapping the solution space, identifying where AI might be problematic (e.g. effects of bias) and defining how it changes your user experience.
October 14, 2025
Dr. Janna Lipenkova’s book offers an excellent exploration of the intersection between AI technologies and business innovation. It provides a wealth of valuable insights and practical knowledge, serving as a highly useful guide for AI product development. Moreover, it can serve as an effective blueprint for teaching AI and innovation at the university level. I highly recommend this book to both AI practitioners and business professionals.
July 16, 2025
The book is quite dense, but very well-researched and grounded. I was struggling with looking past all the buzz and hype around AI, and this book really helped me understand what actually works with the present capabilities of the technology. It manages to organically put AI into the larger context of a business.
July 16, 2025
I have read part of this book and I should appreciate it as it's written quite good and should be very helpful for those PM who are just learning the AI possibilities for their work. It can also be helpful for everyone from the related fields like UX / UI design, FE and BE if you want to switch from your field to PM or simply understand AI that is used in your company on all levels.
July 17, 2025
The book Art of AI Product Development is a great resource for any person working in product development who wants to understand more about how AI-based applications work. The book covers how this new technology is transforming multiple industries and how LLMs can be applied in our own work contexts. I really recommend this reading for my peer product people.
July 17, 2025
I really enjoyed the scenarios in the book. Almost every chapter is based on an end-to-end story, and it is not just made up, you can feel the practical side of it. That was very useful for me to develop a more differentiated judgement when it comes to AI!
July 20, 2025
This book emphasizes the business and product perspective of AI solutions. At the same time, the author provides enough technical details for each topic. So, you can't go wrong with this book. It will broaden your perspective on deploying AI solutions in production.
July 12, 2025
DNF...
No real unique insights of any value for AI products.
No real unique insights of any value for AI products.
August 3, 2025
Very practical, well-structured book. Really gave me more confidence with AI - it is not super technical, but everything is backed by high-quality sources.
July 25, 2025
The book is exceptionally well-structured, comprehensive, and practical, offering a full-spectrum view of AI products.It successfully combines strategic thinking with tactical implementation, making it valuable for all roles such as PMs, data scientists, and cross-functional teams.
The book has balanced coverage of both business and technical aspects focussed on sections about language models, RAG, fine-tuning, agentic AI, and prompt engineering but also AI governance, UX for uncertainty
Some sections can be re-ordered for flow and easier understanding and adding more case studies or interviews with AI product teams would make the read more interesting.
The book has balanced coverage of both business and technical aspects focussed on sections about language models, RAG, fine-tuning, agentic AI, and prompt engineering but also AI governance, UX for uncertainty
Some sections can be re-ordered for flow and easier understanding and adding more case studies or interviews with AI product teams would make the read more interesting.
Displaying 1 - 10 of 10 reviews