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AI In Banking - Vinh Tran, VP Data & AI, RBC In this episode, Vinh Tran—VP of Data and AI Platforms at RBC and an RBC Fellow—shares how one of the world's largest banks is approaching AI at enterprise scale. Key Takeaways "You have to control AI in order to scale it." Vinh explains that governance isn't about going slow—it's about building confidence. RBC invests heavily upfront in platforms, guardrails, and standardization so they can then open the doors and scale with assurance. The Control Plane Approach: RBC has built a comprehensive AI control plane that includes: A centralized LLM gateway controlling which models can be used (currently 6-8 rigorously validated models) An MCP gateway for managing agent-to-tool connections with proper authentication A controlled runtime environment for monitoring agent behavior at the transport level An agent registry for inventory management and lifecycle control 00:00 Introduction to AI in Banking 02:01 The Role of AI in Enhancing Customer Experience 04:03 Governance and Compliance in AI Models 08:53 Control Plane: Ensuring Safe AI Deployment 14:53 Control Plane for Scaling AI 20:47 AI Guardrails 26:05 AI Agents and Standards 32:20 Predictions for the future 36:34 Advice for Aspiring Technologists