Abstract: Technologies for wireless device battery analysis and prediction are disclosed.

Abstract: Technologies for network and device management are disclosed. A described technique includes mapping a local network associated with a user to create a network map of one or more discovered devices that are communicatively coupled with the local network; determining device information about the one or more discovered devices, the device information including one or more device identifications corresponding to the one or more discovered devices; storing the network map and the device information in a profile associated with the user; and providing a centralized management interface for managing the one or more discovered devices. The interface can be configured to present information including the network map, the device information, and one or more notifications. The one or more notifications can be based on an analysis of the device information and the network map.

Abstract: Technologies related to mobile communication devices are disclosed. A mobile communication device is identified, including identifying a unique identifier associated with the mobile communication device. An application is stored in firmware of the mobile communication device. The application is executed at boot-up and periodically when the mobile communication device is operating. Executing the application includes checking with a service to ensure that the mobile communication device is confirmed to be operational, including providing the unique identifier to the service. A confirmation is received that the mobile communication device is confirmed to be operational, and when so, waiting until a next check time for further processing. Upon receiving an indication that the device is confirmed to no longer be operational, a script is executed that locks the device, including creating a password, locking the mobile communication device with the password, and disabling a USB port that is included in the device.

Abstract: Technologies for wireless device battery analysis and prediction are disclosed. A described technology includes collecting wireless device information including battery drain information relating to a battery of a wireless device; determining, based on the collected wireless device information, a plurality of prediction outcomes corresponding respectively to a plurality of different battery usage prediction models; determining accuracies respectively for the battery usage prediction models; generating weight values respectively for the battery usage prediction models based on the determined accuracies; and generating a battery prediction result for the wireless device based on the prediction outcomes and the generated weight values.