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

In this contributed article, Deddy Lavid, CTO of Presenso, offers 5 important questions to ask when considering machine learning managed services, specifically can new technology provide viable ...

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 ...

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

Treon, a leading industrial IoT company, today announced that Treon Flow solution for Material Handling, a cloud-native, ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

Predictive maintenance is emerging as a necessity for aerospace and defense (A&D) systems. By leveraging advanced analytics to monitor equipment health and anticipate failures, operators can ...

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

The waste collection industry generated $69 billion in revenue in 2024, accounting for over two-thirds of the total US waste and recycling revenue. Logistics is the cornerstone of this industry, given ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...