Artificial intelligence has been finally recognised as the technology that can transform banks’ critical functions. From chatbots to credit underwriting to stock market predictions, there is no shortage of use cases of machine learning in banking. Despite the fact that risk management has always been at the top of banks’ agenda, many processes are still plagued with inefficiencies that are continuously draining bank resources. In this article, Andrey Koptelov discusses how banks can apply machine learning to streamline regulatory risk management and advance their fraud detection methods. MACHINE LEARNING Applications of in BANKING RISK MANAGEMENT Andrey Koptelov Innovation Analyst at Itransition 47 Finance Monthly. Bank i ng & F i nanc i a l Se r v i ce s
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