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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 BetterThe 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.
Eric Siegel is a leading consultant and former Columbia University and UVA Darden professor. He is the founder of the long-running Machine Learning Week conference series, a frequent keynote speaker, and author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
ContentsSeries Foreword ixForeword by Morgan Vawter xiPreface: A Brief History of Why Machine Learning Projects Stall xvOptional FAQ: What This Book Is about and Who It’s For xxiIntroduction 10 BizML: Six Steps to Machine Learning Deployment 211 Value: Establish the Deployment Goal 492 Target: Establish the Prediction Goal 633 Performance: Establish the Evaluation Metrics 814 Fuel: Prepare the Data 1135 Algorithm: Train the Model 1416 Launch: Deploy the Model 169BizML Cheat Sheet 195Conclusion: ML’s Elevator Pitch, Staff, Timeline, Upkeep, and Ethics 197Acknowledgments 213About the Author 217Index 219
A Next Big Idea Club Must ReadA Tech Tribune best tech book of the week“An antidote to overheated rhetoric of all-powerful AI... helpfully lays out the key steps to deploying the technology we’re now all obsessed with.”—Fast Company“Separates AI fact from AI fantasy.” —The Forecast“In his new book The AI Playbook, Eric Siegel, a leading consultant and former Columbia University professor, helps bridge the gap between ML as a science and a business practice. Siegel delves into the reasons ML projects fail and provides a framework for implementing machine learning in business.” —TechTalks