The top considerations for manufacturers to establish an information platform that effectively collects and manages data for analysis and decision support systems. There has been a growing interest in ...

An intelligent manufacturing framework integrates robotics, IoT monitoring, and data analytics to optimize automotive production. The research ...

A digital twin is a digital representation of an actual object or system replicated through the use of real-time data.

Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, ...

Successful modern manufacturing means making the most of cutting-edge technologies. One advance that has reshaped manufacturing practices is the incorporation of data analytics. Data analytics unlocks ...

In life sciences manufacturing, some of the most valuable data remains trapped in spreadsheets, scattered across different systems or simply uncollected. This fragmentation creates blind spots around ...

Why viewing MES not just as a monitoring tool but a data contextualizer is critical to digital transformation, as it provides meaning to disparate machine and sensor data. How integrating control and ...

Artificial Intelligence (AI) is already transforming numerous industries, changing how businesses operate, strategize, and innovate. Yet the ability to process all that data locally is proving to be a ...

Legacy “batch” data processing systems have long included tools for managing performance and ensuring security. StarTree is bringing those same capabilities to real-time data analysis and AI ...

In MotoGP racing, milliseconds matter — and real-time data analysis can mean the difference between a podium finish and a lost lead. That’s why NetApp Inc. empowers Ducati Motor Holding to collect, ...