The predictive maintenance market is growing rapidly due to increasing use of AI, IoT, and data analytics to reduce downtime and optimize asset performance, with the U.S. market expected to reach USD ...

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 ...

Modern predictive maintenance depends on sensors and data streams that double as attack surfaces. Protecting the grid now ...

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

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.

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 ...

Understanding why the journey toward digitalization and AI-driven reliability begins with data integrity and matures through awareness, predictability and optimization. Move from manual to automated ...

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

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 ...

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