So Much Data, So Little Time. Until Now.

In a way, the exponential growth of machine-to-machine communications with connected sensors, or what is called the Internet of Things (IoT), has become an example of too much of a good thing.

IoT facilitating communication among connected machines, devices and sensors, creates data at levels never seen before, in volumes that are growing at such a rate that organizations and government agencies will have massive problems analyzing and using 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.

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.

Fortunately, a concept called Edge Computing can make sense of, and put to use, the wealth of data taken from IoT.

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