Boston, July 12, 2018 – New payment types, increasing payments volume, rising regulatory expectations, and rapidly evolving financial crime are driving up the number of anti-money laundering alerts. Advanced technologies such as machine learning, robotic process automation, and natural language processing and generation enhance detection and operational efficiency. But will regulators grow comfortable with the use of these advanced technologies for AML?
This research discusses the escalating AML threat environment and how advanced technologies are helping. It is based on Aite Group’s interviews of 42 executives from financial institutions, money transmitters, AML vendors, and two former regulators-turned-AML consultants from Q4 2017 to Q2 2018.
This 19-page Impact Note contains one figure and eight tables. Clients of Aite Group’s Fraud & AML service can download this report, the corresponding charts, and the Executive Impact Deck.