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 | Dec 4, 2024
In asset management and maintenance, collaboration is essential for project success. Yet, for many organizations, sharing and managing extracted data across global teams is a major hurdle. Without the right tools, inefficiencies pile up. Decisions are delayed,... 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 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...