This article details machine learning for demand forecasting in the cyber security industry. I reveal a standard approach to using machine learning for demand forecasting and compare it to the improved methodology I employed at a leading cyber security firm, which integrates Hierarchical Time Series Forecasting. I discuss how this methodology works and the KPI improvements it yielded relative to the existing approach, plus the strategic decision making benefits ...

From Issue: Making AI Explainable in Demand Forecasting: Why It Matters More Than Ever
(Spring 2025)

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Adding Hierarchical Time Series Forecasting to Machine Learning in the Cyber Security Industry