by Subanu Senthilkumar | Jun 27, 2025
According to Deloitte, 40% of an industrial asset’s total cost of ownership is influenced by data quality and lifecycle information. Reliable data extraction during plant walkdowns improves asset verification and helps teams maintain accurate and current asset... by Subanu Senthilkumar | Jun 25, 2025
According to McKinsey, up to 30% of data in industrial operations is inaccurate, incomplete, or outdated, which can cause substantial inefficiencies and safety risks in return. Plant walkdowns are critical in addressing these data gaps. These structured field... 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 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...