Edge-ifying Machine Learning for Industrial IoT

The IoT is transforming the industrial sector, enabling dramatic gains in efficiency and productivity. But to capture these benefits, you need a way to analyze the high volume of diverse streaming data coming through your machines in real time, and interpret it for actionable insight. Increasingly, this means deploying machine learning, but the question is how to do so. While the cloud has merit as a data modeling and machine learning portal, it cannot always provide the real-time responsiveness needed in applications for the manufacturing, oil and gas, construction, transportation, and smart buildings industries. Thus, there has been a move to augment the cloud with machine learning at the edge.