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 | Sep 12, 2024
Given the high stakes, relying on manual data extraction is no longer practical. AI and machine learning, are revolutionizing how data is extracted and interpreted from industrial diagrams. These technologies offer significant benefits, such as cutting extraction time... by Ria Ghuman | Sep 10, 2024
In industrial operations, accuracy in data is crucial. A single error can have serious consequences, especially when safety is at stake. Whether it’s maintaining machinery or ensuring pipeline integrity, the data extracted from technical diagrams must be... by Ria Ghuman | Sep 5, 2024
Tracking revisions on technical diagrams is often overlooked, yet it’s crucial in fast-paced industrial settings where updates are frequent. Without a reliable system to manage these changes, there’s a high risk of using outdated information, which can... 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...