Cognitive data outlier pre-check based on data lineage

This invention is a computer system that finds problems in complex data setups, like those in a factory or business. It spots unusual data points, then uses a machine learning map of how data moves through the system to trace these anomalies back to their origin, helping to identify where things went wrong. The tracing process involves propagating the outlier signals backward through the data flow graph, with their strength decreasing over distance.

Why it matters: Filed before the widespread maturity of Graph Neural Networks and advanced data observability platforms. These technologies now make building and deploying such a complex data lineage and anomaly detection system more feasible and effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, data lineage, anomaly detection software

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