Workflow and contextual drive knowledge encoding

This invention describes a system that helps users monitor complex processes by letting them pick specific data points they care about from a screen. The system then matches these choices to pre-defined sets of data and rules, called workflows. Once a workflow is identified, it pulls all the relevant data associated with that workflow and uses it to spot important events or anomalies.

Why it matters: The claims involve correlating user selections with workflows and detecting events from time series data. Advances in AI, particularly in automated knowledge graph construction and more sophisticated time-series anomaly detection models, make building the underlying correlation and event logic more robust and less manual than in 2021.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, data integration, time-series analysis

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