Data Gathers in a Cloud. It Takes off from the Edge

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In a way, the exponential growth of machine-to-machine communications and connected sensors, what we call Internet of Things (IoT), is rapidly becoming an example of too much of a good thing.

Fortunately, edge computing can help make that wealth of data a good deal more usable.

IoT allows for communication between connected machines, devices and sensors that is creating data at levels never seen before, data volumes that are growing at such a rate that organizations, as well as government agencies, could have massive problems analyzing and using the data in an optimal way. At the same time, rapid IoT data growth is introducing new security and data volume issues that current cloud security and storage systems will have difficulty handling. The problem is, by the time the rapidly growing streams of data get to the cloud-based analytic systems and then circle back to the devices with instructions based on the analysis of the larger data ecosystem, the opportunity for instant analysis and appropriate action is greatly reduced.

Edge computing solves that problem by effectively putting processing power a good deal closer to where the action is happening. And in so doing, it can offer game-changing opportunities for organizations looking to leverage the advantages of IoT without many common constraints and drawbacks.

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