Adding Hierarchical Time Series Forecasting to Machine Learning in the Cyber Security Industry
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)
IBF Journal Article by Manisha Lal, originally published in Spring 2025

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