Strategies for AI and Cognitive Tools

Table of contents

1. Cover
2. Copyright
3. Contents
4. Introduction
5. When People Don’t Trust Algorithms
6. Reshaping Business With Artificial Intelligence: Closing the Gap Between Ambition and Action
   1. AI at Work
   2. High Expectations Amid Diverse Applications
   3. Disparity in Adoption and Understanding
   4. The Need for Data, Training, and Algorithms
   5. Beyond Technology: Management Challenges
   6. What to Do Next
   7. The Way Forward: Implications for the Future
   8. Appendix: Work in the Longer Term
   9. About the Research
7. The Fatal Flaw of AI Implementation
8. What You Need to Know Before Starting a Platform Business
9. The Subtle Sources of Sampling Bias Hiding in Your Data
   1. Combining Two Types of Knowledge
10. What to Expect From Artificial Intelligence
    1. Machine Learning and Prediction
    2. The Value of Prediction
    3. Who Judges?
    4. Employing Prediction Machines
    5. The Managerial Challenge
    6. Looking Ahead
11. Digital Today, Cognitive Tomorrow
12. Predicting a Future Where the Future Is Routinely Predicted
13. Just How Smart Are Smart Machines?
    1. Four Levels of Intelligence
    2. Four Cognitive Task Types
    3. The Great Convergence
    4. Designing a Cognitive Architecture