In the automotive industry, there has been a lot of discussion around how to bring the power of in-depth data processing and machine learning to the vehicle edge.

Cloud evangelists say it should all be done in the cloud. But often, there can be good reasons to perform computing and analysis locally through edge computing.

The differences between general cloud computing and its “edge” and “fog” computing offshoots have stymied even many professionals since their introduction. But when it comes to general consumers, IT ...

One of the innovation drivers of edge computing was to relieve the bottlenecks that were beginning to throttle the advances the cloud brought in the first place.

An Automation World survey reveals both cloud and edge computing are central to IIoT-enabled predictive maintenance and performance monitoring applications, each at different ...

Edge Computing vs Cloud Computing: Core Differences The cloud vs edge computing debate essentially centers around where data processing occurs and how that impacts performance.

Edge computing enables computing beyond the data center and cloud perimeter, which allows it to support mobile and IoT devices, including cell phones. Edge Computing Examples You might not realize ...

Edge computing is nothing new. But creating applications and solutions at the edge that leverage the cloud for analytics, as well as utilizing a network as efficiently as possible, can be ...

Supported by wireless communication including 5G, cloud and edge computing bring IT expertise to the smart factory.

With cloud, data is stored and processed in a central location (usually a data center), whereas edge computing refers to data processing nearer the source.