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Anomalies in the Perception vs. Reality of Automation of Anti-Money Laundering Solutions

BAE Systems • October 31, 2018  
Anomalies in the Perception vs. Reality of Automation of Anti-Money Laundering Solutions

New research has found that 74% of business customers think banks use machine learning and artificial intelligence to spot money laundering. In reality banks rely on human investigators to manually sift through alerts - a hard-to-believe fact selected only by 31% of respondents. This lack of automation and modern processes is having a major impact on efficiency and expense when it comes to the fight against money laundering.

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