What this book covers
Chapter 1, Understanding the Infrastructure and Tools for Building AI Products, offers an overview of the main concepts and areas of infrastructure for managing AI products.
Chapter 2, Model Development and Maintenance for AI Products, delves into the nuances of model development and maintenance.
Chapter 3, Machine Learning and Deep Learning Deep Dive, is a broader discussion of the difference between traditional deep learning and deep learning algorithms and their use cases.
Chapter 4, Commercializing AI Products, discusses the major areas of AI products we see in the market, as well as examples of the ethics and success factors that contribute to commercialization.
Chapter 5, AI Transformation and Its Impact on Product Management, explores the ways AI can be incorporated into the major market sectors in the future.
Chapter 6, Understanding the AI-Native Product, gives an overview of the strategies, processes, and team building needed to empower the success of an AI-native product.
Chapter 7, Productizing the ML Service, is an exploration of the trials and tribulations that may come up when building an AI product from scratch.
Chapter 8, Customization for Verticals, Customers, and Peer Groups, is a discussion on how AI products change and evolve over various types of verticals, customer types, and peer groups.
Chapter 9, Macro and Micro AI for Your Product, gives an overview of the various ways you can leverage AI in ways big and small, as well as some of the most successful examples and common mistakes.
Chapter 10, Benchmarking Performance, Growth Hacking, and Cost, explains the benchmarking needed to gauge product success at the product level rather than the model performance level.
Chapter 11, The Rising Tide of AI, is a revisit to the concept of the fourth industrial revolution and a blueprint for products that don’t currently leverage AI.
Chapter 12, Trends and Insights across Industry, dives into the various ways we’re seeing AI trending across industries, based on prominent and respected research organizations.
Chapter 13, Evolving Products into AI Products, is a practical guide on how to deliver AI features and upgrade the existing logic of products to successfully update products for AI commercial success.
