In the second in a series, MathWorks industry manager Philipp Wallner and product manager Eric Wetjen explore the steps needed to leverage the power of artificial intelligence (AI) in effectively ...

A healthy fleet is the key to a thriving logistics business. And you can’t keep a healthy fleet without regular vehicle maintenance. But with a few different types of maintenance at your disposal, ...

AI-driven predictive maintenance is shifting industries from reactive and schedule-based repairs to data-led interventions that cut downtime and costs. Leveraging IoT sensors, machine learning, and ...

In its most simplistic sense, there are two types of maintenance: reactive and proactive. While reactive requires managing a failure after it occurs, the various proactive maintenance approaches allow ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Commercial trucking is one of the most data-rich industries on the planet - and yet, for decades, most of that data went ...

Aviation technology providers are rolling out AI-driven ERP integrations to boost predictive maintenance, inventory forecasting, and operational efficiency. Platforms like ePlaneAI with IFS ERP and ...

As the world of industrial technology has become more competitive, companies have realized the importance of being able to adapt quickly to unpredictable changes in workflow and production. When ...

Korean Air recently hosted the "2026 Predictive Maintenance Airline Workshop" at its Seoul headquarters, bringing together 70 ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...