Abstract
The article discusses the trends in the development of digital technologies in the analysis of credit risk in banking, as well as changes in the field of credit risk management. The article focuses on machine learning, human language processing, automation of processes using robots as the main directions for the digital transformation of credit risk assessment, which allow banks to more accurately measure credit risk based on a large amount of available data and minimize the involvement of the human factor. In the final part of the article, the main advantages that banks receive when implementing digital technologies for assessing credit risk are identified.
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