Case Study

Anodot Boosts Machine Learning Anomaly Detection and Forecasting Performance

Anodot Boosts Machine Learning Anomaly Detection and Forecasting Performance

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Anodot, an AI-driven monitoring platform, partnered with Intel to optimize its machine learning applications for anomaly detection and forecasting. Using Intel® Xeon® Scalable processors, Intel® IPP, and oneAPI Data Analytics Library, Anodot accelerated its ACF algorithm training by up to 127x and improved XGBoost inference by 4x. These enhancements reduced compute costs, boosted scalability, and allowed faster analysis of millions of metrics. With nearly 66% runtime reduction in key workloads, Anodot now delivers real-time insights more efficiently, enabling better service at lower cost for high-volume, data-intensive enterprises.

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