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Foreword Thomas H. Davenport xiii
What is the occupational hazard of predictive analytics?
Introduction: The Prediction Effect 1
Chapter 1: Liftoff! Prediction Takes Action (deployment) 17
Chapter 2: With Power Comes Responsibility: Hewlett-Packard, Target, and the Police Deduce Your Secrets (ethics) 37
Chapter 3: The Data Effect: A Glut at the End of the Rainbow (data) 67
Chapter 4: The Machine That Learns: A Look Inside Chase’s Prediction of Mortgage Risk (modeling) 103
Chapter 6: Watson and the Jeopardy! Challenge (question answering) 151
Chapter 7: Persuasion by the Numbers: How Telenor, U.S. Bank, and the Obama Campaign Engineered Influence (uplift) 187
Ten Predictions for the First Hour of 2020
A. Five Effects of Prediction 221
B. Twenty-One Applications of Predictive Analytics 222
C. Prediction People—Cast of "Characters" 225
About the Author 292
ERIC SIEGEL, PhD, founder of Predictive Analytics World and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. Eric is a former Columbia University professor?who used to sing educational songs to his students?and a renowned speaker, educator, and leader in the field.