One way of looking at IoT deployments is this – a large array of not-particularly-sophisticated endpoints, mindlessly sending individual data points like temperature and pressure levels to either an edge device somewhere on a factory floor, or all the way out to a cloud back-end or data center.
And that’s largely correct, in many cases, but it’s increasingly not the whole story – IoT endpoints are getting closer and closer to the ability to do their own analysis, leading to simpler architectures and more responsive systems. It’s not the right fit for every use case, but there are types of IoT implementation that are already putting the responsibility for the customizing their own metrics on the devices themselves, and more that could be a fit for such an architecture.
To read this article in full, please click here