Copyright
Brief Table of Contents
Table of Contents
Preface
Acknowledgments
About This Book
About the Author
About the Cover Illustration
Chapter 1. Introduction
1.1. Whom is this book for?
1.2. AI and the Age of Implementation
1.3. How do you make money with AI?
1.4. What matters for your project to succeed?
1.5. Machine learning from 10,000 feet
1.6. Start by understanding the possible business actions
1.7. Don’t fish for “something in the data”
1.8. AI finds correlations, not causes!
1.9. Business results must be measurable!
1.10. What is CLUE?
1.11. Overview of how to select and run AI projects
1.12. Exercises
1.12.1. True/False questions
1.12.2. Longer exercises: Identify the problem
Summary
Chapter 2. How to use AI in your business
2.1. What do you need to know about AI?
2.2. How is AI used?
2.3. What’s new with AI?
2.4. Making money with AI
2.4.1. AI applied to medical diagnosis
2.4.2. General principles for monetizing AI
2.5. Finding domain actions
2.5.1. AI as part of the decision support system
2.5.2. AI as a part of a larger product
2.5.3. Using AI to automate part of the business process