Clemens Schönlein has been working in the industry for seven years as an engineer and consultant, focusing on: 

• Data-driven process optimization 
• Operational excellence 
• Asset performance management 

He completed his studies in mechanical engineering, process engineering, and energy technology at the renowned universities KIT, KTH, and TU Delft, earning a Master of Science in Sustainable Process & Energy Technology. 

His career began in research and development as an expert in energy system modeling. Over the next six years, he held various roles in the industry, starting as a consultant in industrial asset management, where he developed maintenance concepts based on RCMII, FMECA, and RBI methodologies. He then specialized in data-driven process monitoring and optimization solutions. He and his team applied machine learning algorithms to improve quality, enable predictive maintenance, and increase energy efficiency in the food, pharmaceutical, mining, and chemical industries. 

At AVEVA, Clemens leads the implementation of the "Industrial AI Platform," focusing on driving efficiency and sustainability use cases across various industries.