Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

The on-demand economy has changed how every essential service works, and fuel delivery is one of the fastest-growing ...

Abstract: Predictive maintenance involves proactive monitoring and prediction of equipment failures to optimize maintenance schedules to minimize downtime, reduce losses, and ensure optimal equipment ...

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 ...

Predictive maintenance combines data science and IoT to prevent equipment failures before they occur. In this talk, I’ll demonstrate how machine learning models can analyse sensor data from industrial ...

Fabrikam, Inc. creates innovative IoT solutions for the oil and gas manufacturing industry. It is beginning work on a new, predictive maintenance solution that targets rod pumps (the iconic pivoting ...

The era of reactive “break‑and‑fix” maintenance in heavy industry is giving way to smart, data‑driven strategies. Across automotive assembly lines and steel plants, unscheduled stoppages are brutally ...

Food and beverage processors are shifting from a “run to fail” approach to predictive maintenance, using sensors and AI-driven data analysis to monitor motor health in real time and prevent costly ...

These days, summer in the city — any city, or pretty much anywhere — often means temperatures in the 90s with a heat index over 100. Not a time when you want an unexpected air conditioner failure. To ...

Artificial intelligence (AI)-enabled predictive maintenance is now becoming a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry, and as it continues to ...