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.

Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

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 ...

The world’s five largest companies lose $1.4 trillion annually to unplanned downtime, representing around 11% of total revenue. Every unplanned machinery stoppage translates into lost production, ...

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 ...

Maintenance optimization tools and methods are continually expanding and improving, yet there is no better time to leverage their potential than now. Below are six maintenance and reliability case ...

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 ...

Predictive maintenance, driven by routine vibration measurements, plays a crucial role in extending the life of rotating machinery. Machinery is often one of the largest, if not the largest, capital ...