The future of AML – moving from detection to prevention
- Overcoming the challenges of integrating data from legacy systems and fragmented sources
- Moving beyond static rule-based systems to dynamic and adaptive models
- Whether fully automated systems can make effective decisions on suspicious activities without human intervention
Featuring:
Charles Orton-Jones, Host, FinTechTalk
Combating money laundering requires more than just being able to spot it. Financial institutions must now shift their focus from identifying suspicious activities after they occur to preventing them before they happen.
So how can you prepare for a shift from reactive detection-based systems to prevention strategies that are truly proactive?
In our next episode of FinTechTalk with Charles Orton-Jones, we’ll explore:
- Overcoming the challenges of integrating data from legacy systems and fragmented sources
- Moving beyond static rule-based systems to dynamic and adaptive models
- Whether fully automated systems can make effective decisions on suspicious activities without human intervention
Join this panel discussion to gain insights to modernise your AML approach and explore the future role of automation in compliance.
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