Building AI-Powered Products - The Essential Guide to AI and GenAI Product Management

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle.

• Confidently manage AI product development with tools, frameworks, strategic insights, and real-world examples from Google, Meta, OpenAI, and more
• Lead product orgs to solve real problems via agentic AI and GenAI capabilities
• Gain AI Awareness and technical fluency to work with AI models, LLMs, and the algorithms that power them; get cross-functional alignment; make strategic trade-offs; and set OKRs




Info autore










Marily Nika is an award-winning GenAI product leader with over 13 years of experience building AI products at Google and Meta. She's also one of the world's foremost AI educators, as well as an author, TED AI speaker, Harvard Business School fellow, and founder of the AI Product Academy, which offers AI product management certifications. Holding a PhD in machine learning, Dr. Nika writes about AI at https: //marily.substack.com.

Dettagli sul prodotto

• Autori: Marily Nika
• Editore: O'Reilly
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 29.04.2025
• EAN: 9781098152703
• ISBN: 978-1-09-815270-3
• Dimensioni: 178 mm x 232 mm x 12 mm
• Peso: 344 g
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; BUSINESS & ECONOMICS / Project Management, DESIGN / Product, BUSINESS & ECONOMICS / Production & Operations Management, Computer programming / software engineering, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, Computer Programming / Software Development