Banking on Trusted Data: Powering Agentic AI, Personalization, and Security

As banks move beyond GenAI experiments toward autonomous, agent-driven use cases, one challenge keeps showing up: trust. AI agents cannot personalize experiences, detect fraud, or act autonomously if data is stale, fragmented, or poorly governed. Build a trusted data foundation for Agentic AI by:

• Delivering live, real-time data access across core banking, ERP, and fintech systems, without replication
• Establishing a shared semantic layer so humans and AI agents reason from the same business context
• Embedding governance and security by design, allowing AI to act safely within business and regulatory guardrails
• Turning trusted data into outcomes, including faster insights, reduced fraud risk, and quicker rollout of AI initiatives

Attend this session to see how banks are moving from AI ambition to trusted, production-ready Agentic AI, and why the data layer is now the deciding factor.