Systems and methods for managing lifecycle and reducing power consumption by learning an IoT device
Abstract:
The present disclosure discloses a system that automatically identifies the most efficient times to upgrade software associated with an IoT device. The system employs machine-learning mechanisms to precisely identify the specific time interval where there will be the least impact on the functionality of the IoT device or a cluster of IoT devices.
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