by Lauren Stone | Sep 26, 2024
Inaccurate cost estimation doesn’t just cause headaches—it can derail entire projects. By moving away from historical benchmarks and adopting data-driven methods, organizations can improve the accuracy of their forecasts, reduce the risk of overruns, and maximize... by Ria Ghuman | Aug 15, 2024
Automation represents a pivotal shift in the landscape of data extraction, offering unprecedented efficiency and accuracy. This blog discusses the role of AI and machine learning in transforming data extraction processes, enabling industries to overcome the challenges... by Ria Ghuman | Aug 13, 2024
Human error is a common issue in manual data extraction, often worsened by fatigue and the complexity of tasks. This blog examines the impact of fatigue-induced errors and explores strategies to minimize these issues, thereby improving data integrity and operational... by Ria Ghuman | Jul 18, 2024
Digitizing technical drawings and extracting valuable data is a critical process in engineering and maintenance. However, traditional methods are labor-intensive and prone to errors. In this blog, we will explore how AI can revolutionize data extraction from technical... by Ria Ghuman | Jul 16, 2024
Asset-intensive organizations often struggle with incomplete and inaccurate equipment lists in their Enterprise Asset Management (EAM) or Computerized Maintenance Management Systems (CMMS). These systems need accurate data to function effectively. The best way to...