Chipmakers have begun to shift to predictive maintenance for process tools, but the hefty investment in analytics and engineering efforts means it will take some time for smart maintenance to become a ...

In most conversations, data and AI are inextricably linked. The narrative tends to be that organizations are not using AI well if they don’t have quality data from the field feeding into AI models.

In today's competitive industrial landscape, implementing effective reliability practices is essential. As companies worldwide pursue higher productivity, achieving best-in-class reliability practices ...

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.

Equipment malfunctions are costly and disruptive. When equipment goes down and work stops, the hourly cost to a business ranges from $36,000 in fast-moving consumer goods to $2.3 million in the ...

Plants and facilities rarely fail because teams lack effort. They fail because work, parts, and history live in separate places. A technician closes a work order, a planner updates a […] ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

Manufacturers are moving beyond audits and checklists by using data-driven safety platforms to improve compliance and proactively manage workplace risk.