Graph-Powered Generative AI for Recommendation Systems

In this session, we explore how Generative AI, graph databases, and retrieval-augmented generation (RAG) can come together to power next-generation recommendation systems. We showcase a modern serverless architecture on AWS that leverages GraphRAG to deliver personalized, explainable recommendations through natural language interaction. Using a demo application, you can see how business analysts and market researchers can query user profiles, uncover behavioral patterns, and identify similar personas — all without any technical background or writing a single line of code. This approach enables organizations to turn complex user data into actionable insights using GenAI. Whether you're a business analyst, market researcher, data scientist, or decision-maker, this talk will provide fresh ideas on how to operationalize GenAI for business value.

Agenda

• 18:00 - Registration
• 18.30 - Presentation
• 19.30 - Networking