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 ...

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 ...

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 ...

AI agents for predictive maintenance in energy infrastructure help cut downtime and boost efficiency. Discover how to design ...

According to IBM's data, over the past 3-5 years, many industry players have surpassed the initial experimental phase. They ...

AI turns preventive maintenance data into predictive insights, helping fleets prevent breakdowns and extend truck life. Smart PMIs let fleets forecast part failures, reduce downtime, and optimize ...

“By using AI-driven maintenance algorithms, we can enhance security, improve efficiency, and optimize performance in ways that were previously unimaginable,” says Venkata Bhardwaj Komaragiri. “The ...

Understanding why the journey toward digitalization and AI-driven reliability begins with data integrity and matures through awareness, predictability and optimization. Move from manual to automated ...

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 ...

Lagos — Artificial intelligence (AI)-enabled predictive maintenance stands out as a key component in the pursuit of enhanced reliability and cost-effectiveness in the power industry. This advanced ...