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After decades of unfulfilled promises and hype, AI seems to be reaching a tipping point. Irving Wladawsky-Berger outlines the economic and social implications.
This podcast is all about digital experimentation. We discuss why it’s useful, why it’s harder that it seems, and best practices.
MIT IDE researcher, George Westerman, explains why it’s difficult to reap the benefits of digitization, and how to jump in anyway.
AI and machine learning are no longer on the distant horizon: they are changing the landscape of labor and business today. On March 8, industry and academic experts will debate what the coming decade may hold.
In this Forbes India Q&A, Kristina McElheran, says that going from data to a managerial insight is quite complex.
Author, data scientist, and professor Andreas Weigend, and IDE Director, Erik Brynjolfsson, raised provocative issues about data and privacy, at a recent IDE seminar.
MIT’s David Autor examines the myths and missteps of U.S.–China trade in a Freakonomics radio interview with Stephen J. Dubner.
In this podcast we discuss how technology has reshaped competition in the media industry.