Artificial Intelligence and Machine Learning on the Cutting Edge

There many use cases for the intelligent edge, where a model is trained in the cloud and then deployed to an edge device. For example, a hospital wants to use AI to identify lung cancer on CT scans. Due to patient privacy and bandwidth limitations, a large CT scan containing hundreds of images can be analyzed on a server in the hospital, rather than sending it to the cloud. Another example is predictive maintenance of equipment on an oil rig in the ocean. All the data from the sensors on the oil rig can be sent to a server on the oil rig, and ML models can predict whether equipment is about to break down.