SYSTEMS AND METHODS FOR PREDICTING INFORMATION HANDLING RESOURCE FAILURES USING DEEP RECURRENT NEURAL NETWORKS

In accordance with embodiments of the present disclosure, an information handling system may include a processor and a non-transitory computer-readable medium having stored thereon a program of instructions executable by the processor. The program of instructions may be configured to, when read and executed by the processor, receive telemetry data associated with one or more information handling resources, receive failure statistics associated with the one or more information handling resources, and correlate the telemetry data and the failure statistics to create training data for a pattern recognition engine configured to predict a failure status of an information handling resource from operational data associated with the information handling resource.