Webinar
Deliver speed, accuracy, and compliance with Experian Verify
Published March 14, 2025
Workforce Management Data Sources Risk Management
In today’s fast-paced hiring landscape, background screeners face increasing pressure to deliver faster, more accurate, and fully compliant verifications. With over 50% of employment verifications still requiring manual intervention, staying ahead requires innovative solutions.
Key takeaways:
- Key trends shaping the future of background screening
- The value of digitally- native instant, consumer-permissioned and research-based verifications streamlining manual workloads.
- How advancements in Generative AI are transforming traditional research verifications and reducing dependence on call centers.
Watch this on-demand webinar featuring Experian experts Joy Mina and Troy Hupp as they explore how AI-enhanced, instant, and consumer-permissioned solutions are transforming background screening.
Complete the form to watch the webinar
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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.
eBook
Uncover Hidden Risk in Prime Credit Portfolios
Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.
Key insights:
- Traditional credit scores measure ability to repay but may not identify consumers with no intent to repay.
- First-party fraud models can uncover hidden early payment default risk within prime portfolios and improve risk segmentation.
- Research shows measurable lift in early delinquency detection and ROI when fraud analytics complement credit scoring.
Infographic
Commercial and small business lending, optimized
A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.
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