Session
Real-Time Fraud Detection at Scale
This session demonstrates three architectural patterns for building real-time decision systems with Azure Cosmos DB: Event Sourcing with hierarchical partition keys for immutable audit trails, temporal queries, and scalable event storage ; Change Feed pattern for push-based event notifications that trigger instant materialized view updates without polling; and Event-Driven Integration for capturing domain events from existing databases (PostgreSQL, Oracle, MongoDB) through Azure Service Bus while keeping source systems authoritative. Through a live fraud detection demo that combines traditional ML for clear-cut cases and Agentic AI for uncertain scenarios, you'll see how these patterns enable fast decisioning, complete auditability, and seamless integration across heterogeneous data sources.
Divakar Kumar
Technical Architect @FlyersSoft | Microsoft MVP | MCT
Chennai, India
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top