HighByte Blog
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Time to read: 7 minutes  Posted by Aron Semle Industry 4.0 solutions start with the same problem. How do I collect critical data from the factory floor? This sounds easy, but in reality, factory floors are highly heterogenous environments. It's common to have a newer machine that is highly connected sitting next to a 30-year-old machine with no connectivity at all. This forces teams to get creative. They might use an OPC UA server for one machine, SQL for the next, and retrofit another with new sensors that publish data via REST or MQTT. Each situation is unique, and teams need flexible solutions to leverage the connectivity options they have in place today.
That’s why I am excited to announce the release of HighByte Intelligence Hub version 1.3. This release is full of new capabilities that allow our customers to gather data from many sources in the factory, rapidly add context to the data, and reliably deliver it to their platforms of choice. These additional capabilities greatly expand the connectivity options available to our customers. Here are the highlights:
Time to read: 6 minutes
 Posted by John Harrington
A modern industrial facility can easily produce a terabyte of data each day. With the proliferation of sensors and the recent wave of real-time dash-boarding, artificial intelligence, and machine learning technologies, we should be seeing huge productivity gains. Unplanned maintenance of assets and production lines should be obsolete.
But this is not the case. Access to data does not mean it is useful. Industrial data is very raw and must be made “fit for purpose” in order to extract its true value. Furthermore, the tools used to make the data fit for purpose must operate at the scale of an industrial facility. With these realities in mind, I’ve written a practical, seven-step guide for manufacturers and other industrial companies to make their data fit for purpose. |
