The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems
暫譯: AI 產品經理手冊:開發利用機器學習解決 AI 問題的產品

Bratsis, Irene

  • 出版商: Packt Publishing
  • 出版日期: 2023-02-28
  • 定價: $2,800
  • 售價: 9.0$2,520
  • 語言: 英文
  • 頁數: 250
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1804612936
  • ISBN-13: 9781804612934
  • 相關分類: 人工智慧Machine Learning
  • 相關翻譯: AI產品經理手冊 (簡中版)
  • 立即出貨 (庫存=1)

相關主題

商品描述

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.

商品描述(中文翻譯)

掌握成為 AI 產品經理所需的技能,推動 AI 產品的成功開發與部署,為您的組織帶來價值。

主要特點

• 建立利用 AI 促進公共利益和商業成功的產品
• 利用宏觀數據向客戶展示您是可信的資訊來源
• 影響公司在開發 AI 產品過程中的最佳實踐和常見陷阱

書籍描述

與人工智慧相關的產品經理將能夠利用這本實用的應用 AI 指南來發揮他們的知識。本書涵蓋了您在 AI 行業推動產品開發和增長所需了解的一切。從理解 AI 和機器學習到開發和推出 AI 產品,它提供了您成功所需的策略、技術和工具。

本書的第一部分專注於建立維護 AI 管道最相關概念的基礎。接下來的部分專注於構建原生 AI 產品,最後一部分指導您如何將 AI 整合到現有產品中。

您將了解 AI 的類型、如何將 AI 整合到產品或業務中,以及支持創建 AI 產品或將 AI 整合到現有產品的全面且雄心勃勃的基礎設施。您將獲得管理 AI 產品開發流程、評估和優化 AI 模型,以及應對與 AI 產品相關的複雜倫理和法律考量的實用知識。通過真實案例和案例研究的幫助,您將在快速發展的 AI 和機器學習領域保持領先。

在本書結束時,您將了解如何從產品的角度導航 AI 的世界。

您將學到的內容

• 使用最少的資源為未來構建 AI 產品
• 確定可以利用 AI 滿足業務需求的機會
• 與跨功能團隊合作開發和部署 AI 產品
• 分析使用機器學習和深度學習開發產品的好處和成本
• 探索在處理敏感數據時倫理和責任的角色
• 理解各個領域的性能和有效性

本書適合誰

本書適合希望將 AI 整合到其產品中的產品經理和其他專業人士。預期具備 AI 的基礎知識。如果您理解 AI 作為新興的第四次工業革命的重要性,本書將幫助您在數位轉型和各行各業的變革浪潮中乘風破浪。

目錄大綱

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

目錄大綱(中文翻譯)

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