Industrial IoT

Extracting valuable insights out of data collected from machine sensors can be hard, often requiring analyzing data from many sensors in parallel.
Due to the complexity, machine learning (ML) methods are becoming more and more popular to analyze these datasets.

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.

Based on customer requests we have implemented support for running Crosser Edge Streaming Analytics on Azure IoT Edge. Now you can innovate much faster and without the cost, risk and developer dependencies that come with writing code.

Your data scientists are among your most valuable assets. But if you are not making full use of edge analytics then you could be wasting their time.  

To be locked in or not to be locked in. That is the question facing many IoT project owners when it comes to the technology stack. But there is a smart way of solving the problem.

Contrary to what you might think, you don’t need cloud providers or platforms to run your enterprise IoT project.

Telemetry already offers high value to field-based assets. And with edge computing, you can significantly enhance telemetry capabilities without increasing cost. If you have connected assets in...

Adopting Industry 4.0 practices could be critical for your business. And edge computing could be critical for your Industry 4.0 adoption plans. Here is why.

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...

Predictive Maintenance based on Industrial Internet of Things and Edge computing will transform your current production facility into a “smart industry” and enter the era of Industry 4.0