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Machine Learning in Banking Risk Management: A Literature Review
2019
Risks
There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are being detected, measured, reported and managed. Considerable research in academia and industry has focused on the developments in banking and risk management and the current and emerging challenges. This
doi:10.3390/risks7010029
fatcat:laddvv3hxbaxzau5zgjrv5pkhe