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,... 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 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...