Utilizing machine learning to predict success of troubleshooting actions for repairing assets
AssigneeEMC IP Holding Company LLC
InventorsJeffrey Scott Vah, Ravi Shukla, Aaron Sanchez, Jim Henry Wiggers
Life of this patent
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AssigneeEMC IP Holding Company LLC
InventorsJeffrey Scott Vah, Ravi Shukla, Aaron Sanchez, Jim Henry Wiggers
Estimating the term…
An apparatus includes at least one processing device configured to obtain information regarding a given asset to be repaired, to generate a recommended troubleshooting action to be performed on the given asset, and to provide the recommended troubleshooting action and the obtained information regarding the given asset as input to an encoder of a machine learning model implementing an attention mechanism. The at least one processing device is also configured to receive, from a decoder of the machine learning model, a predicted success of the recommended troubleshooting action. The at least one processing device is further configured to determine whether the predicted success of the recommended troubleshooting action meets designated criteria, to perform the recommended troubleshooting action responsive to the predicted success meeting the designated criteria, and, to modify the recommended troubleshooting action responsive to the predicted success not meeting the designated criteria.
An apparatus comprising:
A method comprising steps of:
A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:
Dependencies are inferred from the claim text.