by Ria Ghuman | Sep 17, 2024
AI-driven data extraction technologies hold immense potential to transform industries by reducing manual work and improving accuracy. However, if these tools are difficult to use, their effectiveness is greatly diminished. This is where user-centered design becomes... by Ria Ghuman | Aug 29, 2024
Once diagrams are digitized, organizations often struggle with sharing, storing, and managing these images efficiently. In large companies, diagrams are frequently scattered across departments, stored in various formats, and managed inconsistently. This lack of... 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In the industrial sector, many companies deal with old diagrams and outdated systems.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...