The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

Master the skills required to become an AI product manager and drive the successful development and deployment of AI products to deliver value to your organization.

Key Features

• Build products that leverage AI for the common good and commercial success
• Take macro data and use it to show your customers you're a source of truth
• Best practices and common pitfalls that impact companies while developing AI product

Book Description

Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed.

The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products.

You'll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You'll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you'll stay ahead of the curve in the rapidly evolving field of AI and ML.

By the end of this book, you'll have understood how to navigate the world of AI from a product perspective.

What you will learn

• Build AI products for the future using minimal resources
• Identify opportunities where AI can be leveraged to meet business needs
• Collaborate with cross-functional teams to develop and deploy AI products
• Analyze the benefits and costs of developing products using ML and DL
• Explore the role of ethics and responsibility in dealing with sensitive data
• Understand performance and efficacy across verticals

Who this book is for

This book is for product managers and other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected. If you understand the importance of AI as the rising fourth industrial revolution, this book will help you surf the tidal wave of digital transformation and change across industries.

掌握成為人工智慧產品經理所需的技能，並推動成功開發和部署人工智慧產品，為組織創造價值。

主要特點：

- 建立利用人工智慧實現共同利益和商業成功的產品
- 利用宏觀數據向客戶展示您是真實可信的來源
- 影響公司在開發人工智慧產品時的最佳實踐和常見陷阱

書籍描述：

這本實用指南將幫助與人工智慧合作的產品經理將他們的知識應用於實際工作。本書涵蓋了您在人工智慧行業中推動產品開發和增長所需的一切。從理解人工智慧和機器學習到開發和推出人工智慧產品，它提供了您成功所需的策略、技巧和工具。

本書的第一部分著重於建立維護人工智慧流程最相關的概念基礎。接下來的部分專注於建立一個以人工智慧為本的產品，最後一部分則指導您將人工智慧整合到現有產品中。

您將了解各種類型的人工智慧，如何將人工智慧整合到產品或業務中，以及支持創建人工智慧產品或將人工智慧整合到現有產品的基礎設施。您將獲得管理人工智慧產品開發流程、評估和優化人工智慧模型以及應對與人工智慧產品相關的複雜道德和法律考慮的實用知識。通過真實案例和案例研究的幫助，您將在快速發展的人工智慧和機器學習領域保持領先。

通過閱讀本書，您將從產品角度了解如何在人工智慧世界中遨遊。

您將學到什麼：

- 利用最少的資源建立未來的人工智慧產品
- 辨識利用人工智慧滿足業務需求的機會
- 與跨職能團隊合作開發和部署人工智慧產品
- 分析使用機器學習和深度學習開發產品的成本和效益
- 探索在處理敏感數據時的道德和責任角色
- 了解不同行業的性能和效能

本書適合對將人工智慧融入產品中感興趣的產品經理和其他專業人士。預期具備基礎的人工智慧知識。如果您理解人工智慧作為崛起的第四次工業革命的重要性，本書將幫助您在不同行業的數字轉型和變革浪潮中保持領先。

1. Understanding the Infrastructure and Tools for Building AI Products
2. Model Development and Maintenance for AI Products
3. Machine Learning and Deep Learning Deep Dive
4. Commercializing AI Products
5. AI Transformation and Its Impact on Product Management
6. Understanding the AI-Native Product
7. Productizing the ML Service
8 Customization for Verticals, Customers, and Peer Groups
9. Macro and Micro AI for Your Product
10. Benchmarking Performance, Growth Hacking, and Cost
11. The Rising Tide of AI
12. Trends and Insights across Industry
13. Evolving Products into AI Products

1. 瞭解建立人工智慧產品的基礎設施和工具
2. 人工智慧產品的模型開發和維護
3. 深入探討機器學習和深度學習
4. 將人工智慧產品商業化
5. 人工智慧轉型及其對產品管理的影響
6. 瞭解原生人工智慧產品
7. 將機器學習服務產品化
8. 面向垂直市場、客戶和同行群體的定制化
9. 產品的宏觀和微觀人工智慧應用
10. 性能基準、成長黑客和成本
11. 人工智慧的崛起潮流
12. 跨行業的趨勢和見解
13. 將產品演進為人工智慧產品