In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

In a world where every dollar of operating cost or downtime compounds across hundreds of wells, even a small improvement in ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

The power industry’s ambitious expansion plans for 2026 face an unexpected obstacle that has nothing to do with technology, ...

Features: AI-driven network operations are reshaping the telecom industry with predictive maintenance, autonomous assurance ...