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Securing weak spots in AML: Optimizing Model Evaluation with Automated Machine Learning

Manually evaluating transaction monitoring models is slow and error-prone, with mistakes resulting in potentially large fines. To avoid this, banks are increasingly turning to automated machine learning. Regulators increasingly expect banks and financial institutions to be able to demonstrate the effectiveness of their transaction monitoring system...

04 May 2023 /regulation /crime Artificial Intelligence and Financial Services