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.

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

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 ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

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

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 ...

AI on the rig floor and discipline at the core. In this exclusive interview, ADNOC Drilling CFO Youssef Salem talks scale, ...

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 ...

TL;DR: Predictive analytics influences day-to-day decisions once forecasts change behavior rather than sit inside ...