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GraphRag in Action: Revolutionizing Fraud Detection Techniques

Session Track: Data Intelligence

Session Time:

Session description

This session explores the exciting world of GraphRAG and introduces you to a versatile platform that allows you to detect and prevent frauds exploiting GraphRAG techniques. In an era where fraud is becoming increasingly sophisticated, traditional methods fall short. This practical session aims to equip attendees with an understanding of how GraphRAG leverages the power of graph-based analytics to uncover complex fraud patterns that are often missed by conventional systems. GraphRAG is a robust information retrieval system that elevates the capabilities of GenAI applications by harnessing the contextual richness inherent in graph-based data architectures. Through real-world examples and case studies born from the experience with our customer, we will showcase the power of GraphRAG in uncovering complex patterns and relationships that are often undetectable by traditional fraud detection methods.

Speaker

photo of Alessio De Angelis

Alessio De Angelis

Senior Solutions Architect, Whitehall Reply

Alessio De Angelis is a senior big data solutions architect, with more than 10 years of experience in developing, implementing, and leading high-impact data solutions in various sectors from proof-of-concepts to production. He is an expert in designing scalable graph data architectures using a wide range of technologies including Neo4j, Cloudera, and AWS.