Production data intelligence and analytics

Integrate data analytics models in control systems

Production data intelligence and analytics

Service focused on developing machine learning models within the industrial environment, combining the expertise of OT and IT. Open Source tools are used, most notably Python and R languages. Within data analytics, the possibility of developing supervised and unsupervised machine learning algorithms to improve production processes, ready for integration in industrial automation systems, is particularly worthy of note. Predictive maintenance and industrial quality control are just some of the industrial applications possible thanks to these algorithms.
Moreover, this service consists of installing and configuring Edge Computing devices to collect and process data in the end user’s environment in real time. Data analytics models to estimate the most important predictive variables from the end user’s point of view can also be developed.