In his bestselling first book Eric Siegel explained how machine learning works. Now in The AI
Playbook he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine
learning the key mechanism in AI. A forward-looking practical book and a must-read for anyone
in the information economy.” —Scott Galloway NYU Stern Professor of Marketing bestselling
author of The Four “An antidote to today’s relentless AI hype—why some AI initiatives thrive
while others fail and what it takes for companies and people to succeed.” —Charles Duhigg
author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the
hardest to use. Machine learning is the world's most important general-purpose technology—but
it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies
machine learning initiatives routinely fail to deploy never realizing value. What's missing? A
specialized business practice suitable for wide adoption. In The AI Playbook bestselling
author Eric Siegel presents the gold-standard six-step practice for ushering machine learning
projects aka predictive AI projects from conception to deployment. He illustrates the
practice with stories of success and of failure including revealing case studies from UPS
FICO and prominent dot-coms. This disciplined approach serves both sides: It empowers business
professionals and it establishes a sorely needed strategic framework for data professionals.
Beyond detailing the practice this book also upskills business professionals—painlessly. It
delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders
need to lead or participate in machine learning projects end to end. This puts business and
data professionals on the same page so that they can collaborate deeply jointly establishing
precisely what machine learning is called upon to predict how well it predicts and how its
predictions are acted upon to improve operations. These essentials make or break each
initiative—getting them right paves the way for machine learning's value-driven deployment. A
note from the author: The buzzword AI can mean many things but this book is about the most
vital use cases of machine learning those designed to improve large-scale business
operations—aka predictive AI or predictive analytics.
