Last week, our apprentices and students explored everything from core concepts to real-world applications in Machine Learning and Data Science.

Dr. Sandra Romeis led a workshop on machine learning-based production control systems, sharing her experience in data-driven optimization and demonstrating concrete approaches for improving process stability and resource efficiency.

After the session, our Jouvoli team showcased how we apply AI in practice through our Weather Data Integration.
This project brings together advanced multi-source meteorological data, combining satellite imagery, ground sensors and atmospheric models, to enable precise renewable energy forecasting and smarter resource allocation.

Our Data Scientists guided the apprentices and students step by step through this process, offering a real-world look at how data science drives sustainable energy solutions at Jouvoli.

💡 Interested in how AI and data science can empower your energy? Discover more about our work!