Anodot relies on complex machine learning ensemble models to analyze hundreds of millions of time-series data metrics every minute for real-time business anomaly detection and forecasting. To scale operations efficiently and manage growing cloud compute costs, the company optimized its algorithmic architecture using advanced hardware infrastructure. Critical to maximizing processing efficiency, specialized Intel software tools—including the Intel Integrated Performance Primitives and the Intel oneAPI Data Analytics Library—empowered data scientists to dramatically accelerate autocorrelation function training and XGBoost model inferencing. By leveraging powerful Intel software alongside scalable Xeon processors, Anodot achieved exponential performance gains, reduced compute expenditures, an

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