Today’s financial institutions exchange and archive enormous volumes of data — data that should be powering actionable insights across fraud, risk, payments, client onboarding and customer engagement. Yet fragmented internal silos, inconsistent schemas, and legacy platforms continue to limit innovation. Poor data quality and interoperability constrain the true potential of AI, personalization, and real-time decisioning.

This interactive 90 minute session will explore how institutions can:

• Create a consolidated, clean, structured source of truth
• Normalize data across products, geographies, and systems
• Enrich data to power AI/ML and predictive intelligence
• Move fraud prevention to real-time, cross-channel accuracy
• Accelerate corporate and client onboarding
• Unlock smarter cross-border payments
• Shift risk from reactive reporting to proactive foresight

Most importantly, this will be a highly engaging, peer-driven discussion on how AI can be applied responsibly and practically to transform financial products and operations. When data is treated not as a byproduct of transactions, but as a platform for innovation, the opportunity is significant — shorter product cycles, personalized experiences, operational efficiency, and measurable competitive advantage.