US 2025/0328783 A1 · IDENTIFICATION AND MITIGATION OF PERFORMANCE ISSUES OF ENTITIES AND AUTOMATED COMPONENTS

Abstract

Systems and methods are described for identifying and resolving performance issues of automated components. The automated components are segmented into groups by applying a K-means clustering algorithm thereto based on segmentation feature values respectively associated therewith, wherein an initial set of centroids for the K-means clustering algorithm is selected by applying a set of context rules to the automated components. Then, for each group, a performance ranking is generated based at least on a set of performance feature values associated with each of the automated components in the group and a feature importance value for each of the performance features. The feature importance values are determined by training a machine learning based classification model to classify automated components into each of the groups, wherein the training is performed based on the respective performance feature values of the automated components and the respective groups to which they were assigned.

Claims20

Dependent claims

A system comprising:

a processor;
and
a memory device storing programming instructions structured to cause the processor to:
monitor performance of a first entity to generate first data,
monitor performance of a second entity to generate second data,
determine, based on the first data, a first performance feature value of a first performance feature with respect to the first entity,
determine, based on the second data, a second performance feature value of the first performance feature with respect to the second entity,
rank a performance of the first entity and a performance of the second entity based at least on the first performance feature value and the second performance feature value, a rank of the first entity being lower than a rank of the second entity;
identify a performance issue with respect to the first entity based on the rank of the first entity being lower than the rank of the second entity and a comparison of the first performance feature value to the second performance feature value, and
cause an action to be performed with respect a first automated component associated with the first entity to mitigate the performance issue.

7 more elements

A computer-implemented method for improving the performance of an entity, the method comprising:

monitoring performance of a first entity to generate first data;
monitoring performance of a second entity to generate second data;
determining, based on the first data, a first performance feature value of a first performance feature with respect to the first entity;
determining, based on the second data, a second performance feature value of the first performance feature with respect to the second entity;
ranking a performance of the first entity and a performance of the second entity based at least on the first performance feature value and the second performance feature value, a rank of the first entity being lower than a rank of the second entity;
identifying a first performance issue with respect to the first entity based on the rank of the first entity being lower than the rank of the second entity and a comparison of the first performance feature value to the second performance feature value;
and
causing an action to be performed with respect the first entity to mitigate the first performance issue.

5 more elements

Dependencies are inferred from the claim text.

Identification and mitigation of performance issues of entities and automated components

Life of this patent

Identification and mitigation of performance issues of entities and automated components

Life of this patent

Abstract

Claims20