The effective use of analytics and machine learning can significantly improve the common “financial crime fighter’s dilemma”: the fine balancing act between reducing losses, providing a great customer experience and maintaining operational efficiency.
In this session from MoneyLIVE‘s Big Meet-up, Tide’s Head of Financial Crime, Matthew Tartaryn joins Featurespace’s Sean Neary to discuss the power analytics, machine learning and AI can provide financial services in the fight against financial crime.
Watch the session to learn more about:
- Banking in a convenience-driven age: how can analytics and AI detect fraud and financial crime at speed?
- Supervised and unsupervised AI: what are the next steps for predictive models in identifying financial crime?
- How behavioural analytics can be used to detect suspicious activity