Sometimes when things like industrial machines or connected cars send overwhelming amounts of data in small amounts of time, edge devices can serve as an effective data backstop.
Monthly Archive: June 2017
Once data has been filtered or analyzed at the edge, you’re probably wondering how remaining data in need of further processing makes it to your Core Platform.
The human progression of climbing is analogous to the IoT maturity model that leads us to smart connected products.
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Check out this quick list of edge gateway data filtering and bandwidth conservation examples to get you going:
While you might think Machine Learning is an activity that only takes place in the cloud or on a cluster of powerful servers, there’s no reason why this can’t happen at the edge.
For a particular device type, it’s a good idea to perform IFTTT analytics on the edge gateway to get quick answers to questions or filter out the noise of repetitive data.
I’m a big fan of keeping things simple and the Edge is no exception.
There’s potentially a large continuum of analytics to be performed (or not) depending on the capabilities of your edge gateway.