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 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 | 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 27, 2024
Large-scale asset projects generate an overwhelming amount of data. From engineering drawings and equipment lists to preventive maintenance plans and Bills of Materials (BOMs), the sheer volume can feel unmanageable. Without the right strategies, this flood of... by Lauren Stone | Nov 13, 2024
The challenges of extracting table data from technical documents are significant in industrial environments, where critical information is often embedded within dense, tightly packed tables. These tables may include parts lists, equipment specifications, material...