by Ria Ghuman | Sep 17, 2024
AI-driven data extraction technologies hold immense potential to transform industries by reducing manual work and improving accuracy. However, if these tools are difficult to use, their effectiveness is greatly diminished. This is where user-centered design becomes... 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... by Ria Ghuman | Jul 11, 2024
In industrial settings, figuring out the costs of engineering and construction projects is a common but tough problem. Many professionals rely on past data instead of using detailed information from their current project plans. These project plans, known as... by Ria Ghuman | Jul 9, 2024
In the industrial sector, many companies deal with old diagrams and outdated systems. Engineers often have to work with diagrams saved as PDF images, which are hard to use effectively. To improve efficiency and accuracy, these diagrams need to be converted into a... by Ria Ghuman | Mar 28, 2024
Addressing the disparities between APM principles and implementation requires a comprehensive approach that tackles both technical and organizational challenges: Invest in Data Management: Establish robust data governance frameworks, invest in data integration...