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• Reviewing AI’s practical applications to improve risk management through intelligent segmentation of client data and subsequent integration into transaction monitoring systems
• Utilizing expertise of subject matter experts to optimize predictive capacity of “supervised learning” to detect and investigate potential AML risks
• Keeping AI systems robust with refresh data to avoid errors tied to obsolete information, changes in financial crime typologies or algorithmic bias
Moderator(s):
Markus
Schulz,
Global Head of Change Management Financial Crimes Compliance,
ING