At the heart of #SEDIMARK lies a powerful AI architecture, featuring MageAI and MLFlow, designed to revolutionize energy optimization. MageAI orchestrates seamless AI workflows, while MLFlow automates robust machine learning pipelines, enabling accurate and localized energy consumption predictions. Our integrated system supports dynamic customer management strategies, ensuring a transparent, scalable, and efficient solution for energy […]

On March 12th, Luis Sánchez, Technical Coordinator of the SEDIMARK project, had the privilege of presenting at the Water Projects Europe Workshop on From Inland Water to Digital Connectivity: Shaping the Future of Water Management. The presentation was part of the session on Understanding Digital Water Management and Interoperability, focused on the SEDIMARK Project and […]

The future of urban mobility is increasingly shaped by data, driving smarter, more sustainable, and highly efficient cities. As urban centers expand, they face the pressing challenge of managing traffic congestion while ensuring accessible and environmentally friendly transportation solutions for all citizens. By integrating cutting-edge technologies, cities can now monitor traffic in real time and […]