Optimizing the end-to-end AI/ML lifecycle

Learn how financial institutions can modernize model risk management to govern AI responsibly at scale.

• Explore adaptive AI governance principles for regulated environments
• Understand the LLM-as-a-judge governance review approach
• See how AI-assisted governance improves oversight, evidence and accountability

Understand how first-party fraud is changing across financial institutions and what it means for your organization. Learn from Experian experts using industry benchmark data. 

• Explore year-over-year first-party fraud trends 
• Compare fraud rates across banks, credit unions and fintechs 
• Learn practical strategies to benchmark and strengthen fraud prevention 

Discover where leading institutions are taking decisioning:

• Explores why intelligent decisioning is becoming a competitive advantage for financial institutions.
• Examines research on AI, data, governance and decision intelligence.
• Highlights common modernization challenges and practical strategies for improving decision outcomes.

Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.

• Refresh classification continuously
  
• Map dependencies and shadow models
  
• Standardize decisions and documentation