Is your AML solution effective?

#artificialintelligence 

In the financial services industry, innovations such as faster payments, together with global regulations and regulatory bodies1 raise a significant question: Do existing risk-rule-based money laundering detection systems really work? Financial institutions may also wonder about the effectiveness of fraud detection, the danger of false positives, structural costs, and the impact on customer transaction experience. According to Gartner, "if money laundering were an economy, it would be the fifth largest in the world." Strikingly, the UN also estimates that the amount of money laundered annually is equivalent to 2-5% of the global GDP. Another report from the Heritage Foundation suggests that complying with anti-money laundering (AML) rules, which require hiring the right talent needed to file suspicious activity reports, costs U.S. companies alone as much as $8 billion a year.

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