Review
David Meerman Scott, Bestselling author of The New Rules of Marketing and PR
"Richard digs into the intellectual components of AI but unlike many other books on the topic of AI he does so from the point of view of business. Doing AI argues that our solutions have never been better but they are not a solution to everything, but no solution is. These technologies solve problems, often they create new problems, and sometimes distract us from our problems altogether. This is a timely book to help smart people understand what AI is and is not, what others want it to be, and ultimately what businesses need solutions."
Isaac J. Faber Ph.D.
Richard has written the book on AI that I have been threatening to write for years. Surrounded by so much hype and pseudo-philosophy AI has become, for many, a goal in itself. However, like most solutions-seeking problems, it never quite delivers the promised value. Richard challenges the prevailing thinking and has the reader refocus on what matters, solving problems. At once a thoughtful history and how-to-guide, this book is a must-read for anyone interested in the truth about AI and how to actually benefit from it.
Abe Usher, co-CEO of Black Cape
Richard shares several powerful ideas that he has discovered by examining the intellectual history of AI from the vantage point of a business leader and advanced practitioner working on machine learning. It is a refreshing reminder that practitioners deserve to be listened to as much as, if not more, theorists working on AI. Ultimately, Doing AI is an essential book for technology leaders interested in AI, business, and the intersection of the two. If you want to use AI to serve customers, get this book.
Eric Siegel, PhD, Founder of Predictive Analytics World and Instructor of "Machine Learning Leadership and Practice - End-to-End Mastery"
"AI is an ill-defined pursuit buoyed by misleading hype - so someone had to drill a hole through it! This book does just that, drawing back the curtain to reveal AI's false narrative, its outlandish claim to be - or at least soon be - the ultimate one-size-fits-all solution, a silver bullet capable of solving all problems. This "single-solution fallacy" is antithetical to prudent business. A business that buys into it is a business that fails to identify and address problems and fails to provide value to customers. Author Richard Heimann takes this on with a style so crisp, clear, and unique it just pops off the page. He comprehensively surveys the litany of troublemakers who've misguided the world with AI mythology. Still, he then greets this mishap with the ultimate business-savvy antidote: how to effectively identify and solve real-world problems. This book will repeatedly make you go "hmm!" as it overhauls your thinking about AI, machine learning, and problem-solving in general."
About the Author
Richard Heimann is Chief AI Officer at Cybraics Inc. A fully managed cybersecurity company focusing on advanced threat detection, Cybraics was founded in 2014 and operationalized many years of machine learning research conducted at the Defense Advanced Research Projects Agency (DARPA).
Heimann is a former chief data scientist and technical fellow at L-3 National Security Solutions; former adjunct faculty at the University of Maryland, Baltimore County, where he taught graduate-level spatial econometrics and statistical reasoning; and an instructor at George Mason University, where he taught computational social science. He continues to be an advisor at George Mason University’s DataLab and several early-stage artificial intelligence ventures. Heimann has also performed on DARPA’s Nexus 7 program supporting ISAF and 82nd Airborne Division in Kandahar Afghanistan, the Naval Research Laboratory, and also consulted at the Pentagon on various AI projects and AI strategy.
