Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. Edge computing is the act of running workloads on these edge devices. Machine learning at the edge ([email protected]) is a concept that brings the capability of running ML models locally to edge devices. These ML models can then be invoked by the edge application. [email protected] is important for many scenarios where raw data is collected from sources far from the cloud. These scenarios may also have specific requirements or restrictions:

Low-latency, real-time predictions
Poor or non-existing connectivity to the cloud
Legal restrictions that don’t allow sending data to external services
Large datasets that need to be preprocessed locally before sending responses to the cloud

The following are some of many use cases that

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