Customer risk-rating models are one major strategy employed by financial institutions to prevent money laundering. Most organizations' models are founded on elementary variables. Learn how new approaches may impact future company operations and compliance.
Using evolving AI-related innovations such as Chat GPT to strengthen data analytics and leverage AML resources in areas such as KYC, anomaly detection and risk assessment
Establishing procedures to keep tech systems strong with cloud-based services such as Software as a Service (SaaS) to support AML functions, including data enrichment and fraud detection
Understanding how law enforcement can use machine learning tools such as algorithm-led graph analytics to analyze data and evaluate potential criminal networks