by Lauren Stone | Oct 30, 2024
Risk analysis in asset management is crucial for industries like energy, manufacturing, and infrastructure, where balancing performance, safety, and cost is key. While it may not be the first thing companies think of, risk analysis plays a central role in keeping... 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 | Aug 27, 2024
Extracting data from scanned images and paper drawings is a major challenge for industries that rely on technical diagrams. These formats make it difficult to access information, requiring engineers to manually search through non-searchable documents to find specific... 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 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...