Smart Machines: Helping Humans or Killing Jobs?


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About this podcast

Will smart machines make us more productive or just take jobs away? Businesses are already preparing for a world in which computers take on knowledge-based tasks. Is this good or bad for business?

In this podcast, we speak with Tom Davenport, an optimist on the future of smart machines. Together, we discuss a future in which machines augment humans to cut down on our trivial tasks and make us more productive.

About the Podcasters


Tom Davenport, president’s distinguished professor of information technology and management at Babson College

Davenport is also 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 College, Harvard Business School, MIT Sloan School, and Boston University. Davenport co-authored the book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines with Julia Kirby.

Paul Gillin, writer and senior consultant at Profitecture

Gillin is also the author of The New Influencers, Secrets of Social Media Marketing, Social Marketing to the Business Customer (co-written with Eric Schwartzman), and Attack of the Customers (2012).


Episode 32 Highlights


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