Webinar
Published January 23, 2025
Advanced Analytics & Modeling
Credit card limit management is crucial to the success and profitability of your portfolio. To improve customer satisfaction, retention and engagement, you'll want to gain deep insights to identify which of your customers qualify for higher limits and by how much. This can help you organization increase revenue and limit additional credit risk exposure.
Learn more about how credit card limit optimization can help you:
- Manage default risk
- Improve consumer loyalty
- Ensure regulatory compliance
By implementing a proactive credit card limit management strategy, you can meet your customers’ credit needs while confidently mitigating risk.
Complete the form to access the webinar
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
'}">
White Paper
Governing AI at Scale for Adaptive Model Risk Management
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
Webinar
Tracking first-party fraud: Industry benchmarks
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
White Paper
The State of Decisioning: Competitive Advantage with AI
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.
Video
5 model classification blind spots to watch out for in 2026
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