The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision ...

MD&M West speaker Javid Vahid shows how Edlore and Siemens collaborated to reduce carbon emissions and improve operational efficiency.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Predictive maintenance (PdM) is a process used to monitor equipment during an operation with the purpose to identify any deterioration. It helps to plan maintenance schedules and reduce operational ...

Platform Science and Uptake have formed a partnership aimed at bringing a comprehensive predictive maintenance program to ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...

For the first time, heavy-duty trucking fleet managers and technicians can actually partner with intelligent machines to ...

Modern combat aircraft generate enormous amounts of data, from engine health and avionics status to mission-system ...

When leadership views automation primarily as a cost-cutting tool rather than an enabler of better work, trust erodes quickly ...

Model covers around 2,000 buildings and public facilities and more than 246,000 assets across the emirate; Operational ...

Middle Eastern NOCs strengthened their role as global energy stabilisers in 2025, with six structural trends set to shape the ...