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... by Lauren Stone | Nov 6, 2024
In today’s fast-paced industrial environment, managing assets—whether it’s machinery, equipment, or extensive piping networks—is a top priority. Reliable maintenance schedules are essential, but knowing the exact location of each component within a plant can make all... by Lauren Stone | Nov 1, 2024
Proactive risk management is transforming asset management, enabling companies to maintain and optimize equipment before issues arise. In industries where unexpected downtime and equipment failures can be costly, moving from reactive to proactive asset management is...