Anomaly Detection for Incident Response at Scale

arXiv:2404.16887v1 Announce Type: new
Abstract: We present a machine learning-based anomaly detection product, AI Detect and Respond (AIDR), that monitors Walmart's business and system health in real-time. During the validation over 3 months, the product served predictions from over 3000 models to more than 25 application, platform, and operation teams, covering 63\% of major incidents and reducing the mean-time-to-detect (MTTD) by more than 7 minutes. Unlike previous anomaly detection methods, our solution leverages statistical, ML and deep learning models while …

abstract anomaly anomaly detection application arxiv business cs.ai cs.lg detection health incident incident response machine machine learning monitors platform predictions product real-time scale teams type validation walmart