#predictive-maintenance

#predictive-maintenance

🚀 DATATRONiQ is a deep-tech 💪 startup in Germany, driving the future of Industrial IoT and Edge AI. Our platform provides a one-stop solution for companies to monitor, analyze, and optimize their assets and processes. Through advanced machine learning and real-time analytics, we transform high-quality industrial data into meaningful insights that drive smarter decisions. We believe in an open and collaborative environment to foster the best ideas from the most creative people - if you are excited about applying AI and data science to real industrial challenges, we'd love to talk with you!

Hispacold has announced the start of serial production of HVAC systems using natural refrigerant R290 for public transport vehicles. The development, according to the supplier, marks a first in the sector and aligns with the European F-Gas Regulation (EU 517/2014), which promotes the adoption of sustainable, low-impact refrigerants. The first systems are planned to be deployed in Germany, with production beginning in Q4 2025.

In Jacques Tati's Mon Oncle (1958), architecture itself becomes a character: sliding doors, an automatic fountain, gates that emit mechanical sounds, devices that both enchant and frustrate the inhabitants. The comedy arises precisely from the fact that these seemingly trivial systems silently shape everyday life. More than six decades later, the observation seems prophetic. In contemporary buildings, countless systems work autonomously and discreetly, going unnoticed when they function well.

AI is enhancing predictive maintenance by integrating machine learning to monitor grid equipment's condition with greater speed and accuracy, helping to prevent outages effectively.

Microsoft's data lakes facilitate the creation of complex, large-scale digital twins by integrating data from various sources, enhancing industrial processes and predictions.