Machine Learning in Banking Risk Management - A Brief Overview

The use of computer-based intelligence in business applications is growing. There have been numerous arrangements previously executed, and numerous more are being discovered. The global financial crisis has heightened the significance of risk management in banks, and there has been a persistent emphasis on how risks are perceived, evaluated, and taken. For the most part, the industry has concentrated on the improvement in financial bets and current difficulties. This paper has shown that the use of artificial intelligence (AI) in the administration of banking risk, grocery store risk, check card risk, and cash risk has been found. In any case, it doesn't appear to have much to do with the ongoing business sector-level discussions centered on both executive gambling and artificial intelligence. In different regions of bank risk, executives might see a significant advantage from an investigation of how, at any point, AI can be applied to individual issues.