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How to Manage Risk (After Risk Management Has Failed)

Over the past decade, a number of the world’s respected companies have collapsed. A factor was these companies’ approach to risk management. Two different views have evolved on how risk should be assessed. The first — the frequentist view — is based on historical data. The second, or Bayesian, considers risk to be in part a judgment of the observer. Many measures are being deployed to prevent future crises — a shift from frequentist to Bayesian risk management should be part of this effort.


New opportunities for data analysis

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“We’re rapidly entering a world where everything can be monitored and measured,” Erik Brynjolfsson, director of the MIT Center for Digital Business, said in an article in The New York Times.

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