Oracle Session 2: Adoption of Machine Learning to Combat Financial Crime
New digitally native criminals are more sophisticated than ever, and banks find themselves under ceaseless cyber-attacks— while defending themselves from illicit activities surrounding drugs, human trafficking, and terrorism. Thwarting or rooting them out requires at least equally sophisticated systems. The session will discuss the evolution and future of machine learning to fight financial crime. We will have a look at successful use-cases of ML to date and where the next productive applications will dramatically impact the financial crime fight.
We will discuss:
- Recent trends in ML and financial crime
- What works and what doesn’t
- ML use cases
- Graph analytics to visualize and find patters
- What lies ahead