Effective IoT Device Management is actually an essential component for successful IoT solution. All the leading Cloud providers encompass it within their IoT platform offerings. Whether it is Microsoft with Azure IoT Hub, Amazon with AWS IoT or Google with IoT Core, their offerings for device management equip IoT solution providers securely and quickly to authenticate, provision, maintain, configure, monitor, and control all the IoT devices.

Past device management approaches were developed on the assumption of stable and persistent device connectivity, usually with comparatively high bandwidth. However, with IoT, we are witnessing IoT solutions which can include a huge number of devices in which high bandwidth and persistent connectivity are far away from norms.

Why is contextual IoT device management needed?

The huge scale of IoT solutions which include a large number of devices implies that you cannot rely on only human management. Automation is heavily needed. You have to automatically detect problems with the devices so that the problems can be addressed proactively. You even require classifying the devices automatically into states which contextually depend on the use case for integrating the IoT solution smoothly into the existing business models and processes.

Hence, summing up everything, IoT Device Management is basically about the processes, tools, and capabilities that are essential for effectively supporting the IoT solutions at scale. It includes securely and quickly onboarding the new devices, detecting device problems automatically, classifying the devices automatically into states which contextually depend on use-case, and decommissioning the old devices.

According to the IoT trends, without Contextual IoT Device Management, successfully managing the huge number of IoT devices, for the ones you do not have much data, can immediately turn into a big operational nightmare which can destroy all the hopes of a good ROI.

**This post was published on https://spectrum.ieee.org