by Lauren Stone | Nov 13, 2024
The challenges of extracting table data from technical documents are significant in industrial environments, where critical information is often embedded within dense, tightly packed tables. These tables may include parts lists, equipment specifications, material... by Lauren Stone | Oct 1, 2024
When dealing with industrial asset management, building an accurate asset model is essential for organizing equipment, improving maintenance processes, and ensuring reliability across the entire operation. However, creating these models manually can be a painstaking... by Ria Ghuman | Jul 23, 2024
Ensuring the safety and reliability of a company’s pipelines is very important, but it can be a difficult and time-consuming job. Making lists of all the pipelines by hand takes a lot of careful work to make sure everything is correct. Engineers have to create... 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...