Tapping edge computing and IoT devices for real-time analytics holds great promise, but designing analytical models for edge deployment presents a challenge. Many analytics and machine learning use ...

Edge analytics involves collecting and analyzing data at the sensor or device rather than waiting for the data to be sent back to a cloud or on-premise server. IoT devices are aiding brands in their ...

Edge analytics is promoted as the solution to the analytics problems posed by edge devices. Let's take a harder look at the pros and cons, including security, cost, and integration with cloud ...

Artificial intelligence is now available on the edge, upending traditional models with sophisticated analytics that can occur as part of a VMS system design. Recent technological advancements have ...