The EPO published Siemens' patent application EP4546208A1 on March 25, 2026, covering a computer-implemented method that generates data-driven models for analyzing time series measurements. The invention employs probabilistic machine learning approaches (classified under G06N 3/045) for processing temporal data sequences. The designated states include all EU member states plus several EEA countries.

This is a patent publication notice, not a regulatory requirement. Technology companies developing time series analytics, predictive maintenance, or industrial IoT solutions should review this publication to assess potential IP considerations. No compliance deadlines, penalties, or required regulatory actions are associated with this document. Companies should consult patent counsel for freedom-to-operate analyses if their products involve similar time series modeling approaches.