The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance. ML models are typically trained in the cloud using large stored datasets and iterative processing on powerful servers.
Bring your OPC data smoothly to the cloud
If you are in manufacturing, process industry, oil & gas or other asset-rich industries with many machines & equipment there is a good chance you are thinking about how to leverage this data in a better way. Either to gain insights to improve your processes or for optimizing your maintenance for an improved uptime.
Connecting Assets: 5 Things to Keep in Mind
Make sure your Connected Machine/Equipment project delivers real value - for you and your customer.
You want to connect your units in the field for an enhanced customer value proposition and an improved Services business case? There are many ways how your customers benefit from connected enterprise assets