Big data and machine learning in central banking

Big data and machine learning in central banking

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Big data and machine learning in central banking

This paper reviews the use of big data and machine learning in the central bank community, leveraging on a survey conducted in 2020 among the members of the Irving Fischer Committee (IFC). The survey contains responses from 52 respondents from all regions and examines how central banks define and use big data, as well as which opportunities and challenges they see.

  • Use cases, geography and tags
  • Organizations that created, adopted or are mentioned
  • Ecosystem position
  • Link to the original asset
  • Comments and reactions