English | 2023 | ISBN: ‎ 1804612936 | 250 pages | True PDF EPUB | 9.89 MB

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 strats, 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