Sequence modeling involves analyzing or predicting patterns in ordered data where the sequence itself matters and affects the outcome. In natural language, word order determines meaning — making sequence modeling foundational to language understanding.
In enterprise settings, sequence modeling also applies to time-series data like transaction histories or machine sensor readings, where the order and timing of events carry predictive signal. A model that predicts equipment failure based on the sequence of sensor readings leading up to past failures is doing sequence modeling in an industrial context.
