by Lauren Stone | Dec 11, 2024
Maximizing Throughput: How to Do More with Less in Data Processing Projects In our current fast-paced industrial world, companies face growing pressure to boost data throughput, processing vast amounts of asset and maintenance data quickly and efficiently. Whether... by Lauren Stone | Nov 29, 2024
In the previous blog, we discussed the causes and consequences of data overload in large-scale asset projects. Now, let’s shift to solutions. Here are practical strategies to help you manage and validate large datasets efficiently, ensuring smoother project outcomes.... by Lauren Stone | Nov 22, 2024
Building Effective Human-in-the-Loop Frameworks for AI-Driven Data Extraction In the previous blog, we highlighted how combining human expertise with AI minimizes errors in industrial data extraction. Now, let’s break down practical ways to establish a... by Lauren Stone | Nov 20, 2024
Human Expertise and Data Extraction Industries are rapidly transforming as advanced tools streamline operations, including how data is extracted from technical diagrams, maintenance records, and other documents. From piping and instrumentation diagrams (P&IDs) to... by Lauren Stone | Nov 15, 2024
In the previous blog, we explored the many challenges that organizations face when extracting valuable information from technical tables. Manual extraction is tedious, prone to errors, and expensive, especially when dealing with high volumes of data. Fortunately,...