Predictive maintenance needs to be more than mere prediction to be effective—it needs to link to specific MRO actions. Credit: Lufthansa Technik Big data, the Internet of Things, digital twinning and ...

Predictive modeling helps companies optimize their internal operations, improve customer satisfaction, manage budgets, identify new markets and anticipate the impact of external events, among other ...

Predictive maintenance is preferred over preventive maintenance for critical assets, but the correct application of advanced analytics is required to realize full value. Power plants of all types have ...

Toyota Motor Corp. is no different than any other company. Like the rest, the automaker wants maximum uptime at the least cost possible. But it differs from many manufacturers in that it has an ...

Embedded computing and optimized machine learning models make PdM viable in small, distributed and cost-sensitive systems.

Predictive maintenance, based on more and better sensor data from semiconductor manufacturing equipment, can reduce downtime in the fab and ultimately cut costs compared with regularly scheduled ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This eMag examines how architects can lead ...

A new year and decade provide an occasion for predictions regarding the state of analytics in the process industries. After three decades of data generated by digitizing control systems, stored in ...

Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...