by Ria Ghuman | Aug 13, 2024
Human error is a common issue in manual data extraction, often worsened by fatigue and the complexity of tasks. This blog examines the impact of fatigue-induced errors and explores strategies to minimize these issues, thereby improving data integrity and operational... by Ria Ghuman | Jul 18, 2024
Digitizing technical drawings and extracting valuable data is a critical process in engineering and maintenance. However, traditional methods are labor-intensive and prone to errors. In this blog, we will explore how AI can revolutionize data extraction from technical... by Ria Ghuman | Jul 16, 2024
Asset-intensive organizations often struggle with incomplete and inaccurate equipment lists in their Enterprise Asset Management (EAM) or Computerized Maintenance Management Systems (CMMS). These systems need accurate data to function effectively. The best way to... by Ria Ghuman | Jul 9, 2024
In the industrial sector, many companies deal with old diagrams and outdated systems. Engineers often have to work with diagrams saved as PDF images, which are hard to use effectively. To improve efficiency and accuracy, these diagrams need to be converted into a... by Ria Ghuman | May 2, 2024
In the realm of Enterprise Asset Management (EAM) and Computerized Maintenance Management Systems (CMMS), the pursuit of productivity improvements is a constant endeavor. These systems play a critical role in managing assets, optimizing maintenance workflows, and...