CPC H04L 63/1433 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computing system comprising:
persistent storage containing configuration items (CIs) representing a plurality of attribute values of computing resources; and
a processor configured to perform operations comprising:
obtaining two or more attribute values of a particular computing resource;
generating, using a machine learning model and based on one or more attribute values of the two or more attribute values of the particular computing resource, an embedding vector representing the one or more attribute values of the particular computing resource;
comparing the embedding vector to one or more candidate embedding vectors, wherein each respective candidate embedding vector of the one or more candidate embedding vectors represents at least one attribute value of a corresponding CI of the CIs contained in the persistent storage;
based on comparing the embedding vector to the one or more candidate embedding vectors, selecting a particular CI of the CIs contained in the persistent storage; and
updating the particular CI to additionally represent at least one of the two or more attribute values of the particular computing resource.
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