Announcing a new book coming January, 2024 from Eric Siegel, the author of the bestselling Predictive Analytics:
THE AI PLAYBOOK: Mastering the Rare Art of Machine Learning Deployment
“This book is the driver’s manual for machine learning – every business and analytics professional should read it.” —Morgan Vawter, Global VP Data & Analytics, Unilever
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
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 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 in order 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.
What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for – and what many mean by – AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.
Further details will be coming to this website by summer, 2023. For now, sign up for updates about the book’s release.
Announcing a new book coming January, 2024 from Eric Siegel, the author of the bestselling Predictive Analytics:
THE AI PLAYBOOK: Mastering the Rare Art of Machine Learning Deployment
“This book is the driver’s manual for machine learning – every business and analytics professional should read it.” —Morgan Vawter, Global VP Data & Analytics, Unilever
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
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 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 in order 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.
What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for – and what many mean by – AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.
Further details will be coming to this website by summer, 2023. For now, sign up for updates about the book’s release.
About the author
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who bridges the business and tech sides of machine learning. He is the founder of the Predictive Analytics World and Deep Learning World conference series, which have served more than 17,000 attendees since 2009. As the instructor of the acclaimed online course Machine Learning Leadership and Practice: End-to-End Mastery, a winner of teaching awards as a professor, and a popular speaker, Eric has delivered more than 110 keynote addresses. The executive editor of The Machine Learning Times, he wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been adopted for courses at hundreds of universities. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, and more – including op-eds on analytics and social justice. Follow him at @predictanalytic.