Welcome to the Experian Thought Leadership Hub

Build a trusted data foundation for AI as models and agents draw from more sources and make faster decisions.

• Understand why traditional approaches can fall short at AI scale
• Learn what makes data reliable, relevant, safe and representative
• Identify data trust gaps and prioritize what to fix
• Explore how to operationalize trusted data

Explore research on what financial institutions need to move AI initiatives forward responsibly.

• Understand the data and governance barriers slowing AI adoption
• See where lenders are investing to strengthen AI foundations
• Learn why data lineage, explainability and trust matter for scale
• Explore how connected intelligence can support modern lending

See how scams develop across five stages and where fraud teams may detect risk earlier. 

• Understand targeting, grooming and trust-building tactics. 
• Identify behavioral, device and payment warning signs. 
• See how account takeover and value transfer can appear. 
• Explore opportunities for earlier intervention. 

See how behavioral analytics strengthened post-login fraud detection.

• Learn how we integrated across 200+ ecosystem points.
• Discover how fraud detection increased 2X versus incumbent tools.
• Explore how connected signals exposed organized fraud rings.

In today’s competitive mortgage market, lenders are challenged to reduce origination costs, improve operational efficiency, and create a better borrower experience. This webinar explores how the Experian Verify Preview Report gives lenders visibility into employment and income record availability before ordering a full Verification of Income and Employment (VOIE) report. By providing transparency upfront, lenders can reduce unnecessary verification expenses, improve operational efficiency, and make more informed sourcing decisions.

What we’ll cover:

• How to determine record availability before ordering a full income and employment verification report
• Strategies for reducing unnecessary verification spending while improving operational efficiency
• Ways to improve borrower experience, accelerate loan processing, and reduce lender workload through smarter verification workflows
• How verification innovation supports broader mortgage automation and data-driven decisioning initiatives

Most commercial risk models are designed to assess every industry. Construction operates by a different set of rules. Explore the data, research, and analytics behind Experian's first construction-specific score and learn how trade creditors can improve risk visibility, credit decisions, and portfolio performance.

Explore Experian's Q3 2026 U.S. economic outlook and scenarios forecasts.

• See GDP projections for 2026 and 2027.
  
• Understand the outlook for inflation and unemployment.
  
• Review expectations for Federal Reserve interest rates.
  
• Compare base-case, optimistic and pessimistic scenarios.

See how Experian’s Mortgage Loan Performance dataset on Snowflake helps teams quickly turn complex questions about mortgage portfolios into actionable insights. Explore how natural-language queries and ready-to-run analytics can support market sizing, credit risk, prepayment, escrow risk, and portfolio strategy.

Consumer financial behavior is changing between traditional lending checkpoints. See how continuous underwriting can improve visibility into risk and opportunity.

• Understand why Gen Z may be under-observed, not higher risk.
• See why secured-to-unsecured graduation merits closer monitoring.
• Explore a three-stage maturity model for signal-driven decisioning.