Lucas Vinh Tran

This session explores the evolution of personalisation and recommendation systems in the banking and finance sector - from traditional machine learning pipelines to cutting-edge multi-agent LLM architectures and emerging technologies. Drawing on real-world leadership experience, Lucas will share insights into the technical and strategic challenges of designing intelligent, compliant, and scalable personalisation systems in a complex regulatory environment.

• Building end-to-end ML pipelines for personalisation in banking and finance: A look into the foundations of personalised systems - from data and feature engineering to model development, deployment, monitoring, and feedback loops - within a highly regulated, data-rich environment.
• Evolving to Generative AI: Architecting multi-agent LLM systems for personalisation: Designing agent-based LLM architectures to support personalisation at scale across financial services.
• Unlocking customer intelligence with GenAI: Using generative AI to power customer understanding and enable hyper-personalised user journeys.
• Applying quantum-inspired algorithms for enhanced recommendations: Exploring how quantum-inspired techniques can optimise recommendation efficiency and handle complex challenges.
• Immersive personalisation: Extended Reality (XR) in next-generation customer experience: Examining the potential of augmented and virtual reality to reshape customer interaction models and deepen personal engagement in digital finance.