Digital banking fraud, machine learning, and digitization – NetGuardians’ Mine Fornerod interviews our Data Scientist Jérôme Bovay on the ideal machine learning based anti-fraud solution and its benefits in the fight against fraud.
This video provides answers to the following questions:
- How does a machine-learning based anti-fraud solution should look like? What are the key aspects?
- How does the ideal solution address the challenges such as turning business needs into algorithms and black box problem where users cannot interpret the machine learning results?
- Banking fraud mitigation has so far been like a cat and mouse game. Do you think with machine learning, we are finally able to get out of this game?
