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AI in Credit Risk Research July 2024

This presentation covers firstly the advantages and disadvantages of AI in Credit Risk. Areas covered include:

Areas covered include:

  • Disadvantages of a traditional approach
  • Advantages of an AI approach
  • Challenges in an AI approach
  • Traditional vs. AI comparison

We then have 13 use case cases in Credit Risk in Banking.  The use cases are all taken from secondary research (publicly available information) so we can name the Financial Institutions. You can click through on each of the use cases back to the original source material. Use case areas covered include:

  • Lending decisions
  • Bad debt identification
  • Reduction of lending costs
  • Default forecasting
  • Default reduction
  • Early warning signs