Industrial manufacturing: Finding errors before they happen
Robots are producing ever faster and in cleaner quality, while at the same time manufacturing processes are becoming ever more complex. Automation also means that more and more data is available. Correctly evaluated and used, this can be used for predictive quality analysis. But who has an overview of the sheer volume of data?
