#predictive-maintenance

#predictive-maintenance

According to a recent report from digital transformation and industrial automation provider Rockwell Automation, the UK already leads Europe in smart manufacturing, with 53% of its manufacturers using AI on the factory floor and 98% overall planning to implement it. This compares to a global average of 41% introducing AI and machine learning (ML), as well as 95% planning to implement.

IT development has been around for more than 60 years and it has undergone radical transformations from the emergence of the first programming languages and OS development to the internet boom and the current AI era. Although programming tools and approaches are constantly changing, one thing remains constant: Only those developers who can adapt and master new knowledge and skills survive.

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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.