by Mahrukh Majeed | Sep 4, 2026
Asset-intensive organizations invest heavily in EAM systems, predictive maintenance, digital twins, and other technologies designed to improve reliability. But the value of those tools depends heavily on the quality of the asset information supporting them. When asset... by Mahrukh Majeed | Aug 28, 2026
Oil and gas, utilities, mining, and manufacturing operate in very different environments. The equipment changes, the maintenance challenges change, and the consequences of downtime look different. But across each industry, the same asset data problem continues to... by Mahrukh Majeed | Aug 21, 2026
Manufacturers continue to invest in new EAM systems, predictive maintenance, automation, and AI to improve reliability. Yet many organizations still struggle with recurring equipment failures, inefficient maintenance processes, and systems that do not deliver the... by Mahrukh Majeed | Aug 14, 2026
The conveyor stopped at 6am. Third time this quarter. The maintenance team knows the belt drive has been struggling. They flagged it twice. Both times the work order was closed without the root cause documented because the technician who did the repair retired and... by Mahrukh Majeed | Aug 7, 2026
A transformer fails during a severe storm. The maintenance crew arrives ready to restore service, but before the repair can begin they need to confirm the equipment specifications, identify the correct replacement part, and locate the latest OEM documentation. The... by Mahrukh Majeed | Jul 31, 2026
According to the MaintainX State of Industrial Maintenance Report 2026, 58% of industrial maintenance teams are already using AI in their operations. 75% report measurable ROI in under six months. Those are remarkable numbers. So why does the same report find that...