Abstract: Hot pluggable or swappable devices that are easily removed and replaced by a network operator may be monitored for faults and utilized in post-deployment use. Device specific local monitoring and storing of operational parameters during a deployment of a device in a network is described. Additionally, utilizing the recorded operational parameters of device to generate baseline conditions for the device and individualized recommendations for the device is also described.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations by dynamically determining a hybrid temporal-utility classification for a predictive entity. The hybrid temporal-utility classification for the predictive entity may be determined based at least in part on outputs from a temporal score generation machine learning model and a utility score generation machine learning model.