Building AI-Powered Products: The Essential Guide to AI and Genai Product Management (Paperback)
暫譯: 打造 AI 驅動的產品:AI 與生成式 AI 產品管理的必備指南 (平裝本)

Nika, Marily

  • 出版商: O'Reilly
  • 出版日期: 2025-03-25
  • 售價: $1,740
  • 貴賓價: 9.5$1,653
  • 語言: 英文
  • 頁數: 227
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098152700
  • ISBN-13: 9781098152703
  • 相關分類: 人工智慧產品經理
  • 海外代購書籍(需單獨結帳)

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商品描述

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI-powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI into a playbook for driving innovation, solving user problems, and unlocking business growth.

Featuring insights from AI leaders at Google, Meta, and Microsoft, this book doesn't just teach you the "how" of AI product management&emdash;it equips you with the "why" to make smarter decisions and achieve outsized impact. Whether you're new to AI or a seasoned PM, this guide will empower you to confidently navigate every stage of the AI product lifecycle.

  • Transition into AI product management with confidence and clarity
  • Navigate the AI Product Development Lifecycle (AIPDL) using powerful tools and frameworks
  • Solve real user problems by harnessing AI and generative AI capabilities
  • Establish technical fluency to influence and collaborate cross-functionally
  • Make strategic trade-offs when building or buying AI solutions
  • Set AI-specific metrics and OKRs to measure success
  • Lead cross-functional teams to build AI products that drive tangible value

商品描述(中文翻譯)

根據她在 Google 和 Meta 的經驗,Marily Nika 博士提供了針對產品經理打造 AI 驅動產品的權威指南。本書充滿了聰明的策略、可行的工具和真實的案例,將複雜的 AI 世界拆解成一個推動創新、解決用戶問題和釋放商業增長的行動手冊。

本書包含來自 Google、Meta 和 Microsoft 的 AI 領導者的見解,不僅教你 AI 產品管理的「如何」,還讓你了解「為什麼」,以便做出更明智的決策並實現超乎尋常的影響力。無論你是 AI 新手還是資深產品經理,這本指南都將使你能夠自信地駕馭 AI 產品生命周期的每一個階段。

- 自信且清晰地過渡到 AI 產品管理
- 使用強大的工具和框架導航 AI 產品開發生命周期 (AIPDL)
- 通過利用 AI 和生成式 AI 的能力解決真實的用戶問題
- 建立技術流利度以影響和跨部門協作
- 在構建或購買 AI 解決方案時做出戰略取捨
- 設定 AI 特定的指標和 OKR 以衡量成功
- 領導跨功能團隊構建能夠帶來實際價值的 AI 產品