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商品描述
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.
- 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.
商品描述(中文翻譯)
一本實用指南，幫助您利用 AI 驅動的產品創造價值！了解 AI 如何改善內容創作、加速數據分析和升級流程自動化。
AI 產品開發的藝術 提供了一種清晰、實用的方法來創建使用 AI 的產品。它提供了關於定義您的 AI 策略、開發有用的 AI 功能以及支持用戶信任和採用的現實指導。這本書不追逐潮流，而是專注於核心原則和長期思考——這些基礎在該領域發展時仍然相關。 在 AI 產品開發的藝術 中，您將學習有效使用 AI 的重要技能，包括： - 確定 AI 的市場和商業機會- 深入了解現代 AI 方法，包括預測性 AI、LLMs、檢索增強生成和代理系統
- 組建有效的 AI 解決方案，而不僅僅是炒作
- 與數據科學家和機器學習工程師高效溝通
- 設計強調信任和透明度的用戶友好 AI 介面
- 實施安全、道德的 AI，並具備適當的治理流程 AI 產品開發的藝術 是為產品經理、技術高管、UX 設計師以及任何負責 AI 驅動產品成功的人士而寫的。它介紹了廣泛的 AI 機會和來自不同領域的案例研究，如行銷、供應鏈和物流。您將從初步設計對話開始，逐步進入高效和安全的開發，最終到達 AI 驅動應用的部署和日常管理。 關於技術 將 AI 整合到您的軟體和流程中可以為您的業務及其客戶創造真正的價值——如果您做得對的話。當您負責交付 AI 啟用的產品時，您需要識別高影響力的機會，與工程師有效合作，設計以用戶為中心的功能，避免常見的項目失敗，並管理現實世界的推出。本書將告訴您如何做到這一點。 關於本書 AI 產品開發的藝術 為您提供了一個清晰的框架、實用的工具和現實世界的例子，以建立信心並在新的 AI 項目中取得成功——即使您是第一次接觸 AI。您將喜愛來自行銷、供應鏈管理和可持續性等領域的實用案例和端到端場景。 內容概覽 - 構思、塑造和優先考慮 AI 機會
- 使用提示工程、檢索增強生成和預測性 AI 等技術開發 AI 系統
- 與不同的 AI 利益相關者溝通並促進 AI 採用 關於讀者 本書是為軟體產品經理、商業導向的工程師、UX 設計師、創業者以及任何負責開發、設計或行銷 AI 產品的人士而寫的。無需具備 AI 經驗。 關於作者 Dr. Janna Lipenkova 是一家 AI 和分析業務的創始人，她成功管理了為 BMW、Lufthansa 和 Volkswagen 等世界級公司提供的 AI 項目。 目錄 第一部分
1 利用 AI 驅動的產品創造價值
2 發現和優先考慮 AI 機會
3 繪製 AI 解決方案空間
第二部分
4 預測性 AI
5 探索和評估語言模型
6 提示工程
7 搜索和檢索增強生成
8 微調語言模型
9 使用代理 AI 自動化工作流程
第三部分
10 AI 用戶體驗：設計不確定性
11 AI 治理
12 與利益相關者合作
附錄 A AI 開發工具箱 購買印刷版書籍時，您將獲得 Manning 提供的免費電子書（PDF 或 ePub）以及在線 liveBook 格式的訪問權限（及其 AI 助手，能用任何語言回答您的問題）。
作者簡介
Dr. Janna Lipenkova holds a Master in Chinese Studies and Economics and a PhD in Computational Linguistics. After many years of work in AI and NLP in both academia and industry, she started her own AI and analytics business. She has acquired and managed projects for global companies, collecting first-hand experience in achieving business success with AI. Presently, she focuses on leveraging AI to generate strategic recommendations for companies in central areas such as innovation, digitalization, and sustainability.
作者簡介(中文翻譯)
珍娜·利彭科娃博士擁有中國研究與經濟學碩士學位以及計算語言學博士學位。在學術界和產業界從事人工智慧（AI）和自然語言處理（NLP）多年後，她創立了自己的AI和分析業務。她為全球公司獲取和管理專案，積累了利用AI實現商業成功的一手經驗。目前，她專注於利用AI為公司在創新、數位化和可持續性等核心領域生成戰略建議。
