AI-assisted inspections and digital workflows are transforming construction equipment maintenance, improving pre-start checks ...

As Odysight.ai continues to build its position at the intersection of deep tech, aerospace, defense, and industrial AI, the past year has marked an important phase in our evolution. With rising global ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

"talking about AI" to running well-governed, operational AI in targeted areas, building efficiency and workforce resilience.

Paramount Business Jets reports that by 2030, many safety features in private aviation likely will shift from optional to ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Doug Dilley, Parker Aerospace Group vice president of services and support operations (left), and Mark Mourani, Parker's vice president of global commercial aftermarket. Credit: Parker Aerospace Doug ...

Abstract: Predictive maintenance of nuclear power plants is the continuous (or regular) condition monitoring and fault diagnosis of important parts of nuclear safety equipment when they are in ...

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 era of reactive “break‑and‑fix” maintenance in heavy industry is giving way to smart, data‑driven strategies. Across automotive assembly lines and steel plants, unscheduled stoppages are brutally ...