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Years after U.S. regulators first prodded banks to sharpen their anti-money laundering tools with innovative technology, sources told ACAMS moneylaundering.com that compliance staff can expect more pressure to adopt machine learning and other artificial intelligence-driven systems. By applying advanced algorithms to large pools of data, machine learning-based technology can spot transactional anomalies that tend to fly under the radar of rules-based and "menu" systems and also reduce alerts unlikely to generate suspicious activity reports, or SARs. As a result, AML staff have more time to review and flag truly high-risk transactions to law enforcement. Natural language processing, another innovation in...