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

In today’s fast-paced industrial landscape, the effective use of data has become a game-changer for facility management. Data-driven insights are not just about improving efficiency. They’re pivotal ...

Uptake, a predictive analytics software-as-a-service (SaaS) provider, is teaming with Daimler Truck North America (DTNA) to enable the use of data-as-a-service (DaaS) technology to power Uptake Fleet, ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have ...

Predictive analytics: the ability to use well documented historical and accurate data to improve future logistics or fleet maintenance operations. Data — especially quality data — is the key to ...

In industrial and process plant operations, there are numerous challenges that can disrupt smooth functioning and profitability. From aging equipment to a need for more resources and staff skills gaps ...

Unplanned downtime costs businesses millions. At a time when rising operational costs are putting intense pressure on businesses to become more efficient, the revenue and productivity losses from ...

Automation suppliers and analysts have been touting for years that asset management and maintenance processes, aided by software, can significantly improve production and save bottom-line dollars.

A new year and decade provide an occasion for predictions regarding the state of analytics in the process industries. After three decades of data generated by digitizing control systems, stored in ...

A U.S. Air Force B-1B undergoes post-flight inspections at Andersen Air Force Base, Guam, on Sept. 15, 2018. The service is moving to conditions-based maintenance to better predict problems throughout ...