Sai Sandeep Ogety, ogetysaisandeep.org By combining graph anomaly detection with KPI cascade analysis, teams can map system dependencies and track how failures impact key metrics. This approach ...

graph neural networks and graph anomaly detection, inviting enterprise users who have applications for this upcoming generation of technologies to Quine.

Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

April 29, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leading provider of data observability and agentic data management solutions, today announced Adaptive AI Anomaly Detection, a cornerstone ...

Anju Kambadur, Bloomberg’s Head of AI Engineering, helped organize today’s 2nd KDD Workshop on Anomaly Detection in Finance, which is taking place during the 25th ACM SIGKDD Conference on ...

Despite its promise, AI-driven anomaly detection still faces challenges. Potential biases in AI models and the need for large, high-quality datasets must be addressed to ensure accurate findings. The ...