AI Dev 26 x SF | Thierry Damiba: Edge to Cloud Video Anomaly Detection

This talk by Qdrant's Thierry Damiba shows how to build a real-time video anomaly detection system that works in open-world settings, where the most important events are often the ones you did not explicitly train for. It walks through an edge-to-cloud architecture using Qdrant Edge, Twelve Labs, and NVIDIA Metropolis to detect unusual behavior, search video semantically, and support grounded investigation workflows.