Device Component Management Using Deep Learning Techniques

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 obtain telemetry data from one or more enterprise devices;
• to determine, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data;
• to generate, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques;
• and
• to perform one or more automated actions based at least in part on the at least one generated prediction.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to obtain telemetry data from one or more enterprise devices;
• to determine, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data;
• to generate, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques;
• and
• to perform one or more automated actions based at least in part on the at least one generated prediction.