A Business – Centric Examination of AI Culture, Goals, and Values
Doing AI explores AI for what it is, the problems it can truly solve, what others want it to become, what you need it to be —and what it is not. In these pages, author Richard Heimann unravels the tricky relationship between problems and solutions, exploring the pitfalls in solution-centric management and explaining how businesses should rethink “AI” in a way that aligns with their cultures, goals, and values.
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.
Isaac J. Faber Ph.D., Chief Data Scientist
“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 to be.”
David Meerman Scott, Bestselling author of The New Rules of Marketing and PR
“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, but 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.”
Eric Siegel, PhD, Founder of Predictive Analytics World and Instructor of “Machine Learning Leadership and Practice – End-to-End Mastery”
Meet the Author
Richard Heimann is Chief AI Officer at Cybraics Inc. Cybraics, a fully managed cybersecurity company focusing on advanced threat detection, was founded in 2014. Cybraics operationalized many years of machine learning research conducted at the Defense Advanced Research Projects Agency (DARPA).