Telematics technology, now integrated with AI and IoT, is transforming vehicle maintenance, fleet management, and insurance pricing. Predictive analytics from real-time sensor data is shifting ...

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 ...

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

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 ...

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 ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

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

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

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

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 ...

Predictive maintenance is no longer "asset maintenance excellence." It's supply chain resilience engineered into the physical layer of business operations. When critical assets fail unexpectedly, the ...