BlogBasics Learning From Data Streams: Foundations of Stream Learning Dr. Sebastian Buschjäger, 21. January 2026 Data never stops — so how do models keep up? This opening post introduces stream learning, concept drift, and real-time adaptation for continuously evolving data streams....
BlogApplication Error analysis in production processes with an AI-based root cause analysis Hans-Ulrich Kobialka, 26. January 2022 It is more interesting for companies to understand why a specific error has occurred than to predict errors. An AI-based root cause analysis is used to find clues to the causes of errors in large amounts of data....
BlogResearch Which model should I choose? Explainable model selection for time series prediction Matthias Jakobs, 06. October 2021 Selecting the model that can best solve a given problem from a set of models is often an untransparent process. For time series prediction, we present an explainable procedure for model selection. ...
