by Lauren Stone | Oct 3, 2024
In the world of industrial asset management, accurate asset models are the foundation for efficient operations and maintenance. These models, which organize data for equipment, components, and maintenance tasks, are essential for Enterprise Asset Management (EAM) and... 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 Without a reliable system to manage these changes, there’s a high risk of using outdated information, which can...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 22, 2024
In this blog, we’ll break down how AI learns to recognize custom symbols, how these models adapt over time, and how they can be easily integrated into current engineering workflows to make handling P&IDs more efficient. AI is revolutionizing the way we...