by Lauren Stone | Dec 13, 2024
In our previous blog, we explored strategies to scale data processing efficiently. However, processing large volumes of data is just the first step. The true value emerges through asset data integration— working this data into Enterprise Asset Management (EAM)... by Lauren Stone | Dec 6, 2024
Why Seamless Collaboration is the Future of Asset Management In a fast-paced industrial world, effective and seamless collaboration isn’t just helpful—it’s essential. Still, many organizations struggle to share and manage critical asset data across global teams.... 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 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,... by Lauren Stone | Nov 8, 2024
In our previous blog, we explored how location data can improve asset mapping and maintenance. Now, let’s look at how digital tools turn this data into actionable insights that enhance predictive maintenance, speed up repairs, and support safer workplaces. Capturing...