The Art of AI Product Development: Delivering Business ValueSimon and Schuster, 15 jul 2025 - 368 pagina's 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, including: • 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 space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. |
Inhoudsopgave
Discovery | 1 |
Creating value with AIdriven products | 3 |
Discovering and prioritizing AI opportunities | 14 |
Mapping the AI solution space | 38 |
autonomous intelligence | 53 |
Development | 59 |
Predictive AI | 61 |
Exploring and evaluating language models | 82 |
Search and retrievalaugmented generation | 134 |
Finetuning language models | 159 |
Automating workflows with agentic AI | 174 |
Adoption | 205 |
Designing for uncertainty | 207 |
AI governance | 244 |
Working with your stakeholders | 270 |
appendix AI development toolbox | 301 |
Overige edities - Alles bekijken
The Art of AI Product Development: Delivering business value Janna Lipenkova Gedeeltelijke weergave - 2025 |
Veelvoorkomende woorden en zinsdelen
agent AI products AI-driven AI-generated Alex algorithms align analyze applications approach arXiv automation behavior bias build carbon offset challenges chapter chatbot clients clustering collaboration collaborative filtering complex compliance components create data privacy database DataMax dataset decisions documents domain efficiency embedding ensure errors evaluation evaluation strategy example few-shot prompting Figure fine-tuning human identify impact implementation improve input insights integrate interactions interface iterative knowledge labeled machine learning marketing mental model metrics Nina open source opportunities optimization outputs patterns performance platform potential predictive prioritize problems product manager prompt engineering queries RAG system real-world recommendations refine relevant require retrieval risks roadmap scenarios semantic search solution specific strategy structured supervised learning tasks techniques tion training data transparency trends trust understand updates user experience user experience design user needs webinars workflow