Summary: Two challenges for today’s anti-money laundering professionals: focusing on high-value functions and eliminating false positives that consume unnecessary resources. Nicholas Piccininni, who leads a 1,500-person financial crimes risk management team at Wells Fargo, explains how Wells puts technology to use to tackle these challenges. Piccininni discusses how Wells Fargo employs artificial intelligence and machine learning techniques in the financial crimes area, as well as its use of robotics applications.
