Duncan Bain explains why predictive maintenance remains central to the AI agenda for the manufacturing sector.

For decades, equipment failure was treated as unavoidable. Machines ran, parts wore out or something broke, and maintenance teams swung into action to fix issues. Even well-organized facilities ...

You will work as a Data Scientist in the Predictive Maintenance team. This hybrid and multi-cultural team have Data scientists, Data Engineers, a DevOps engineer, a QA engineer, an Architect, an UX ...

This is read by an automated voice. Please report any issues or inconsistencies here. Snakes as pets tend to attract a certain kind of owner. Maybe it’s the quiet. Maybe it’s the fact that they don’t ...

KONE’s AWS-powered IoT platform boosts predictive maintenance with real-time insights and scalability. Generative AI tools like Technician Assistant cut downtime and improve field service efficiency.

Credit: Michael Cheetham/CJI LONDON—The overwhelming majority of business aviation engine, avionics and aircraft customers are using their OEM’s predictive maintenance capabilities, the audience at ...

Energy companies are looking for smarter ways to streamline reporting, improve forecasting and manage fragmented data systems. Generative AI is moving beyond experimentation into structured enterprise ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: This paper suggests an intelligent predictive maintenance system aimed at identifying faults in equipment ahead of time with the help of machine learning methods and real-time data ...

Abstract: Rapid development of the Industrial Internet of Things (IIoT) is turning the management of machinery and decision making into a multitude of operational data. A key issue in such an ...