AI in Lending: From Experimentation to Execution

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

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.

Prepare your portfolio before peak holiday spending with insights into changing consumer behavior, credit trends and risk signals.

• Understand how income divergence is reshaping portfolio risk.
• Learn how BNPL, AI and alternative data influence lending decisions.
• Identify strategies to grow wallet share while managing early delinquency risk.
• Prioritize actions before the holiday shopping season begins.

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