C ongratulations on finishing the first part of this book. By now, you’re quite familiar with the techniques in the AI toolbox. You know about the types of data you can use and which families of algorithms are most appropriate for each. Part 2 will build on your newfound knowledge and guide you as you take your first steps toward bringing AI into your organization.

Chapter 7 teaches you how to select the most promising opportunities for using AI in your organization. The big achievement of chapter 7 is a definition of your very first AI project, formatted into ML-friendly language that’s digestible by technical teams. Chapter 8 carries on with this implementation guide by introducing the main ingredients to build any AI project: model, data, and talent. Chapter 9 completes the guide by introducing the processes you can follow to build a successful AI strategy. Chapter 10 is the final chapter, where you broaden your horizons beyond the organization and explore some of the short- and long-term implications of AI for society.