Overview
We investigate advanced design patterns that leverage foundational models (FMs) to extract information from time series data. The focus is on extracting insights from time series data coming from IoT sensors in energy and industrial applications to create a Generative Artificial Intelligence (GenAI) time series assistant. FMs can be harnessed to forecast, identify and classify anomalies, perform root cause analysis, and generate natural language insights for time series and forecasts.
