by Subanu Senthilkumar | Mar 7, 2025
Every second, industries generate massive amounts of data—but shockingly, only 20% of it is ever used for decision-making. This means 80% of valuable data remains untapped, which represents a major lost opportunity for efficiency and cost savings. AI-powered... by Subanu Senthilkumar | Mar 5, 2025
Artificial intelligence is revolutionizing Enterprise Asset Management, which enables organizations to optimize their maintenance strategies, reduce downtime, and extend asset life cycles in turn. By 2027, thousands of companies will integrate AI-driven asset... by Subanu Senthilkumar | Feb 28, 2025
Artificial Intelligence is redefining digital twin technology, allowing industries to create highly accurate virtual models of their physical assets. As companies focus on digitalization and migration strategies, AI-powered digital twins are becoming essential in EAM,... by Subanu Senthilkumar | Feb 26, 2025
The Digital Twin market is projected to reach $73.5 billion by 2027, with industries increasingly adopting this technology for predictive maintenance, operational efficiency, and asset lifecycle management. With the integration of Enterprise Asset Management (EAM)... 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...