Operationalizing AI in Transaction Monitoring
Course Description
This session will discuss the practical application of AI and machine learning in financial crime programs. We will explore model validation, compliance considerations, business use cases and share lessons from early adaptation.
Agenda
Key differences between rules-based and AI-enhanced models
Compliance guardrails and documentation requirements
Managing false positives and investigator fatigue with AI
Identifying the right use case
Instructor: Stephanie Surratt
Course Description
This session will discuss the practical application of AI and machine learning in financial crime programs. We will explore model validation, compliance considerations, business use cases and share lessons from early adaptation.
Agenda
Key differences between rules-based and AI-enhanced models
Compliance guardrails and documentation requirements
Managing false positives and investigator fatigue with AI
Identifying the right use case
Instructor: Stephanie Surratt
Course Description
This session will discuss the practical application of AI and machine learning in financial crime programs. We will explore model validation, compliance considerations, business use cases and share lessons from early adaptation.
Agenda
Key differences between rules-based and AI-enhanced models
Compliance guardrails and documentation requirements
Managing false positives and investigator fatigue with AI
Identifying the right use case
Instructor: Stephanie Surratt