Webinar
Published November 11, 2024
Advanced Analytics & Modeling
See Experian Assistant, our latest innovation in GenAI technology, in action – taking financial institutions to the next level by increasing productivity and scaling expertise. In this webinar, discover how to drive higher productivity and customer engagement, minimize time spent writing code, and improve understanding of data and attributes.
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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
White Paper
Why efficient hyperparameter tuning matters: Putting Bayesian Optimization to the test
Bayesian Optimization offers a more efficient way to tune machine learning models at scale. This white paper presents a controlled comparison with Grid Search using production credit-risk data to measure runtime and model performance.
- Up to 80× faster hyperparameter tuning
- No loss in CV or holdout AUC
- Evidence from LightGBM credit-risk models
- Guidance for governed ML environments