Edge computing allows for the collection, processing, and response to road events with minimal latency. Modern autonomous vehicles generate enormous amounts of data - ranging from 5 TB to 20 TB per day. 4G or 5G networks might not be able to handle such high throughput, but Edge+ can filter this data, processing most of it locally, and only pushing a subset of this data to the cloud.

Rapidly respond to failures of silo aeration systems at remote sites, even if the cloud connectivity from the on-field location is currently weak.

Processing and analyzing data closer to smart houses allows for enhanced security of sensitive user information. The low latency of smart house solutions results in a better user experience, with quicker responses from end devices compared to the time it takes for edge devices to connect to the cloud for decision-making.

Responding to security violations and threats in a matter of seconds is a necessity. Edge computing provides this capability, making the quality of your connectivity to the cloud irrelevant - decisions will be made by the local edge engine on a remote site in real-time.

For data privacy in healthcare devices, data processing must occur at the edge. Only necessary pieces of readings from medical devices are pushed to the cloud, while all other sensitive data is stored on the edge. An additional benefit of edge processing in this scenario is the ability to react to critical medical cases as quickly as possible due to real-time processing of data from edge medical devices.

Processing and storing data from edge devices closer to the equipment enables analysis of vast amounts of data locally. This allows detection of changes in production lines before a failure occurs, with only average readings from production lines being sent to the cloud, according to your business needs.