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Competing on the Rate of Learning
Article

Competing on the Rate of Learning


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áudio gerado automaticamente

Editorial Rating

8

Qualities

  • Analytical
  • Innovative
  • Visionary

Recommendation

Data – vast new volumes of it – and algorithms that analyze and act on that data are thrusting business learning into new territory. Speed becomes crucial and old decision-making approaches simply move too slowly. Organizations must become self-tuning and able to learn, and they must respond automatically. In this article, Boston Consulting Group’s strategy expert Martin Reeves and economist Kevin Whitaker draw clear conclusions from current developments in data gathering and analysis, artificial intelligence, and machine-human integration.

Take-Aways

  • Technology is driving a new stage of business learning, where the speed of gathering and acting on data is increasing massively.
  • To succeed in this new, accelerated environment, enterprises will have to autonomize by enabling rapid automated decision making.
  • At the same time, longer timescales – often based on social and political drivers – are becoming more relevant.

About the Authors

Strategy expert Martin Reeves is senior partner and managing director of the Boston Consulting Group Henderson Institute. Kevin Whitaker is an economist at BCG’s Center for Macroeconomics in New York.


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