Learn why a self-service analytics tool can help you improve your manufacturing processes. Easily identify the root cause for production deviations or find the best production runs as golden batch.
“Analytics are key to delivering the promise of Industry 4.0 transformation.”
“In order to create a win-win situation, owner operators and equipment vendors need to understand the behavior and also the failure of their assets. Analytics provide the insight to gain this understanding.”
Thomas Dhollander is an expert in algorithm design and time series analytics for process data. From 2005 to 2008 he was active as a data mining and machine learning research engineer at the KULeuven University in Leuven, Belgium. Thomas holds a Master in Science in Mechanical-Electrotechnical Engineering (data mining & automation) from KULeuven and a Master of Arts in Cognitive and Neural Systems from Boston University.