Increasingly I come across business model for selling industrial software where the core product is completely open-source. This means that a developer can access the entire set of features without swiping a credit card.
A common digital strategy strategy I encounter these days involves two parts that are executed in parallel. First, developing a digital infrastructure which costs money. Second, developing use cases (e.g. predictive maintenance) on top of this digital infrastructure that generates...
I find it sad to read that medium-sized manufacturers (like the German Mittelstand) feel they can’t keep up with digital transformation.
Manufacturers feel that working with their data is hard. But most don’t relate this symptom to a lacking data infrastructure.
If you are on the lookout for a new data historian, what characteristics should you evaluate?
OT doesn’t like it when IT introduces their modern, “insecure” software on the shop floor. Part of the reasons I like the United Manufacturing hub is that they understand the intricacies between IT and OT.
A mistake I often see companies make is grab a bunch of data and apply data science to “look for insights”. This approach stems from the late 2010s, when data science hype was at its peak.