Patent ID: 11922280
Assignee: ARTHUR AI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
generating, automatically and in near-real-time via a processor, a first plurality of metrics based on a data stream generated by a first machine learning (ML) model, near-real-time referring to real time adjusted for at least computation-related delay;
generating, via the processor, input data based on the data stream generated by the first ML model;
causing a second ML model to generate (1) intra-model output based on the input data, and (2) exactly one model output dataset based on the input data, the second ML model different from the first ML model;
generating, automatically and in near-real-time via the processor, a second plurality of metrics based on the intra-model output;
generating, automatically and in near-real-time via the processor, a third plurality of metrics based on the model output dataset;
generating an alert based on at least one of the first plurality of metrics, the second plurality of metrics, or the third plurality of metrics; and
sending a signal representing the alert, the alert configured to trigger an automatic remediation action including at least one of automatic retraining of the first ML model or automatic retraining of the second ML model.