Facility teams everywhere are under growing pressure. Costs are rising, building systems are becoming more complex, and staffing levels aren’t keeping pace. At the same time, most buildings are ...

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

Automotive predictive maintenance, driven by AI, machine learning, and advanced sensors, is transforming vehicle care from reactive repairs to proactive prevention. Industry analyses project up to a ...

Commercial trucking is one of the most data-rich industries on the planet - and yet, for decades, most of that data went ...

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

A new systematic review highlights how generative AI can overcome data shortages in predictive maintenance for aviation by creating synthetic run‑to‑failure datasets. The study finds models such as ...

AI systems are only as good as the data they are built on. In most industrial environments, that data comes from historical ...

The automotive industry has always relied on precision and efficiency. Today, supply chain complexity, shorter production cycles, and growing customer expectations ...

In modern building operations, Generative AI functions as an integrated layer within the broader tech stack to drive tangible ...

AI/ML enables better energy planning, including precise calculations to optimize the power mix as well as timing to garner financial incentives. Source: Emerson 72% of manufacturers using AI to reduce ...