Digital Technologies for Assessing the Credit Capacity of the Bank’s Clients

Viktor Ivanovich Abramov, Azizbek Kurbonov


In modern conditions of global competition and the rapid development of digital technologies, there is a need for new tools for assessing the solvency of bank customers and reducing credit risks, reducing costs and increasing the profitability of the bank. The features and prospects of using big data and predictive analytics are analyzed, theoretical aspects of using Artificial intelligence (AI) technologies are considered and their advantages for banks are analyzed. The goal is to reduce the share of problem loans and quickly determine the solvency of clients.


Bank Clients; Loans; Digital Technologies; Big Data; Digital Economy; Mobile Banking; Risks

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