Money laundering benefit from machine learning advances
Keeping track of fraud and money laundering made easier through advances in machine learning
Growing regulatory demands are leading banks to experiment with machine learning in order to meet anti-money laundering (AML) standards.
Gary Swiman, the head of compliance and regulatory consulting services at the New York accountant EisnerAmper, notes that banks are re-examining their AML processes as regulatory expectations change.
"If you look at 80% of the cases regulators brought up this
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