Tom discusses the changing terms for the collection of technologies that make up what we used to call “artificial intelligence in this thought provoking post. Tom recently extended his work on analytics and big data to its logical conclusion–what happens to us humans when smart machines make many important decisions? He and Julia Kirby published an HBR lead article in 2015 called “Beyond Automation”—which editors named one of the best of that year—and a book from Harper Business in 2016 called Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. He teaches analytics and big data in executive programs at Babson, Harvard Business School, MIT Sloan School, and Boston University. He pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article (and his 2007 book by the same name).