The need for scalable and efficient identification systems is critical, particularly in areas like fraud detection, social network analysis, and customer identity management. Graph databases (Graph DB) excel in handling highly connected data, making them ideal for identifying relationships, patterns, and anomalies in large datasets. This workshop will explore the use of Graph DB as a solution to scale identification systems effectively. You will also get to know how Target leverages the use of Graph DB in guest identification.

Target Audience

•     Data Engineers & Architects – Looking to design scalable identity or fraud detection pipelines.
•     Security & Risk Analysts – Interested in relationship-based anomaly detection.
•     Software Engineers – Building backend systems requiring efficient identity resolution.
•     ML & AI Developers – Enhancing models with graph-based feature engineering for customer intelligence.