Incluye referencias bibliográficas e índice.

Foreword / Thomas H Davenport -- Preface to the Revised and Updated Edition: What's new and who's this book for -- the predictive analytics FAQ -- Preface to the Original Edition: What is the occupational hazard of predictive analytics? -- Introduction: Prediction effect -- Liftoff! prediction takes action (deployment) -- With power comes responsibility: Hewlett-Packard, Target, the Cops, and the NSA deduce your secrets (ethics) -- Data effect: a glut at the end of the rainbow (data) -- Machine that learns: a look inside Chase's prediction of mortgage risk (modeling) -- Ensemble effect: Netflix, crowdsourcing, and supercharging prediction (ensembles) -- Watson and the Jeopardy! challenge (question answering) -- Persuasion by the numbers: how Telenor, US Bank, and the Obama Campaign engineered influence (uplift) -- Afterword: Eleven predictions for the first hour of 2022 -- Appendices: A: Five effects of prediction ; B: Twenty applications of predictive analytics ; C: Prediction people: cast of "characters".

Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition, Eric Siegel reveals the power and perils of prediction. Includes new material with new examples, more mini-case studies, more in-depth information, even more extensive notes, now available on an online PDF. Located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics.