SPECIAL OFFER: FREE AUDIOBOOK
Gain early access to the audiobook, plus the author's online course
UPDATE: This offer has expired – click here to order the audiobook on Audible.
Pre-order The AI Playbook as a hardcover or e-book on Amazon – shipping February 6, 2024 – and receive a free advanced copy of the audiobook version now.
But wait... there's more!
You'll also receive a copy of the audiobook for Eric Siegel's other book, Predictive Analytics, and free access to the first three modules of his online course, "Machine Learning Leadership and Practice: End-to-End Mastery" (a total of 39 instructional videos).
This offer ends January 12, 2024.
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.
Instructions for the free audiobook offer:
Use this link to pre-order The AI Playbook on Amazon as a hardcover or e-book.
Take a screenshot showing the Amazon order confirmation, including the name of the product purchased and the Amazon order number.
Email the screenshot to firstname.lastname@example.org with the subject line "Audiobook".
Receive the two audiobooks and online course access within two business days.
“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 and 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
“Set aside the hype and focus on getting things to work in practice. This is a crisp, necessary, and deeply helpful guide to getting things done with AI. Essential reading.”
—Mustafa Suleyman, Co-founder & CEO, Inflection AI and author of The Coming Wave
“In this book, Eric brings machine learning to life and provides a roadmap for how to operationalize it in the real world.”
—Will Lansing, CEO, FICO
“There's a big difference between theory and practice. This is the guide that tells you how to really make data come alive through machine learning.”
—DJ Patil, General Partner, Great Point Ventures and Former U.S. Chief Data Scientist
“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
“The ultimate blueprint for tapping machine learning’s full potential.”
—Andy Gray, Data & Tech Advisory Director, Deloitte