In episode 2 of RiskShield RealTalk in RealTime we interviewed Jan Veldsink, Lead Artificial Intelligence at Rabobank. We discussed some of the hurdles financial institutions face when implementing machine learning into their fraud fighting processes as well as many of the benefits it brings.
Other topics we covered include:
Jan introduces himself and his background in machine learning (5:00) Are we still talking more about machine learning than we are applying it? (8:00) How to move from machine learning lab to fighting fraud (12:00) Concreate examples of how banks can use machine learning to detect fraud (16:00) How can machine learning help in the AML Compliance space? (19:30) Impact of machine learning on false positives (22:00) Are there any drawbacks to using machine learning to detect financial crime? (24:28) Biggest hurdles for implementing machine learning? (26:15) Advice for banks that are just beginning their machine learning journeys. (28:30)