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.

Purchase of the print or Kindle book includes a free PDF eBook.

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.

Table of Contents
Understanding the Infrastructure and Tools for Building AI Products
Model Development and Maintenance for AI Products
Machine Learning and Deep Learning Deep Dive
Commercializing AI Products
AI Transformation and Its Impact on Product Management
Understanding the AI-Native Product
Productizing the ML Service
Customization for Verticals, Customers, and Peer Groups
Macro and Micro AI for Your Product
Benchmarking Performance, Growth Hacking, and Cost
The Rising Tide of AI
Trends and Insights across Industry
Evolving Products into AI Products