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 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 Without a reliable system to manage these changes, there’s a high risk of using outdated information, which can...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... by Ria Ghuman | Aug 20, 2024
Each engineering project is unique, often requiring customizations beyond standard practices. Project teams frequently adapt or create new symbols and methods to fit specific needs, leading to variations even within the same organization. For example, in Piping and... 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...