The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...
The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...
Maintenance teams already juggle more variables than most people see. Aging assets. New equipment with complex controls. Tight staffing. Higher uptime expectations. The work never stops, and a single ...
Explore how digital twins support Big Data decisions to transform rail track maintenance and deliver safe, reliable, and resilient service. Learn how Bentley’s AssetWise application helps advance ...
Demand for operational efficiency, consistent services and constant uptime has never been stronger in the fast-changing financial scene of today. From transaction processing to customer service, ...
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.
Predictive maintenance (PdM) is one of the most beneficial strategies for managing industrial equipment. However, its efficacy depends on the reliability of the sensors gathering maintenance data from ...
Accurate and timely data is important in facilities management and equipment maintenance reporting. What's even more important is the way managers present this crucial data. Good maintenance reports ...
Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.
After a uniquely challenging year, many companies are looking to marketers to turn their fortunes around. According to a recent survey of global CEOs, 83% expect marketing initiatives will drive ...
Ensuring electronics quality is essential as the world increasingly relies on these devices. It can also be challenging because so many points throughout manufacturing can affect product quality, but ...