商品描述
"Generative AI Product Management" explores the intersection of artificial intelligence and product management, focusing specifically on generative AI technologies. This comprehensive guide is designed for product managers, AI developers, and anyone interested in leveraging AI to create innovative products.
The book begins with an overview of generative AI, tracing its evolution, key technologies (such as GANs, VAEs, and transformers), and applications across various industries. It delves into the unique challenges and opportunities posed by generative AI in product development, emphasizing the role of product managers in guiding AI projects to successful outcomes.
Readers will gain insights into essential product management principles, including market needs assessment, defining product vision, and integrating AI features into existing systems. Practical guidance on agile methodologies, prototyping, and user testing ensures readers understand how to effectively manage AI-driven product lifecycles.
Key chapters cover crucial aspects like data management strategies, ethical considerations in AI deployment, and optimizing AI models for performance and scalability. The book also addresses AI model deployment and maintenance, discussing infrastructure, CI/CD pipelines, monitoring, and handling model drift.
Drawing on real-world case studies and examples, "Generative AI Product Management" showcases successful AI product implementations and offers actionable strategies for marketing, monetization, and building sustainable business models around AI products. Future trends in AI and predictions for AI product management provide readers with a forward-looking perspective on the evolving landscape of AI technologies.
商品描述(中文翻譯)
《生成式 AI 產品管理》探討了人工智慧與產品管理的交集，特別聚焦於生成式 AI 技術。這本全面的指南旨在為產品經理、AI 開發者以及任何有興趣利用 AI 創造創新產品的人士提供指導。
本書首先概述了生成式 AI，追溯其演變、關鍵技術（如 GANs、VAEs 和 transformers）以及在各行各業的應用。它深入探討了生成式 AI 在產品開發中所帶來的獨特挑戰與機會，強調產品經理在引導 AI 專案達成成功結果中的角色。
讀者將獲得有關基本產品管理原則的見解，包括市場需求評估、定義產品願景以及將 AI 功能整合到現有系統中的方法。關於敏捷方法論、原型設計和用戶測試的實用指導，確保讀者了解如何有效管理 AI 驅動的產品生命週期。
關鍵章節涵蓋了數據管理策略、AI 部署中的倫理考量，以及優化 AI 模型以提升性能和可擴展性等重要方面。本書還討論了 AI 模型的部署與維護，包括基礎設施、CI/CD 管道、監控和處理模型漂移。
透過真實案例研究和範例，《生成式 AI 產品管理》展示了成功的 AI 產品實施，並提供可行的策略以進行市場推廣、獲利和建立可持續的 AI 產品商業模式。對於 AI 的未來趨勢和 AI 產品管理的預測，為讀者提供了對不斷演變的 AI 技術景觀的前瞻性視角。
