Tom Davenport, Babson College

23 December 2021 / By admin

Tom Davenport, Distinguished Professor of IT and Management, Babson College

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 for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin.

One of HBR’s most frequently published authors, Tom has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name. Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence. Tom’s book, co-authored with Julia Kirby, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines offers tangible tools for individuals who need to work with cognitive technologies and in his latest book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, he provides a guide to using artificial technologies in business. You can read a review of The AI Advantage on MIT Press.

Harvard Business Review editors highlighted his latest ideas in the 10 Must Reads 2017: The Definitive Management Ideas of the Year and again in the 2019 issue. One of his articles is also in the new 10 Must Reads on AI, Analytics, and the New Machine Age. Tom was also named one of ten “Top Voices” by LinkedIn–in 2016 for Education, and in 2018 for Technology. He has also been named one of the top three business/technology analysts in the world, one of the 100 most influential people in the IT industry, and one of the world’s top fifty business school professors by Fortune magazine.

Tom works with a variety of established companies and startups in the analytics and AI space. They include:

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