Category: Forecasting

Time-Series Forecasting Pipelines: From TSDB to Model Monitoring

An energy company's AI predicted electricity demand would peak at 6 PM, as typical. The first game of the World Cup had millions turning on TVs at 4 PM, creating an unprecedented spike their models co

Forecasting with Uncertainty: Probabilistic Models

Traditional forecasting methods produce point estimates: single values representing the most likely outcome. This approach fails to capture inherent uncertainty, leading to overconfidence in decision-

Data Pipelines for Time Series Forecasting

Time series forecasting requires specialised pipeline architecture. Unlike standard batch processing, time series work demands strict chronological ordering, historical context, time-based feature eng