Real-time Anomaly Detection in Manufacturing

In manufacturing, the most expensive problems are the ones you don’t see coming. A bearing runs hot, a cutter drifts out of spec, a camera misses a subtle defect—minutes later you’re fighting scrap, rework, and downtime. That’s why leaders are moving from reactive alerts to real‑time anomaly detection: continuously analyzing sensor, machine, and process data […]

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How 3D Digital Twins solve OEM manufacturing challenges

Manufacturing has become more complex in recent years. Customer expectations are growing, supply chains are harder to manage, and products are becoming more advanced. For OEMs (Original Equipment Manufacturers), this means dealing with a wide range of challenges — from production efficiency to parts availability and service coordination.  One approach that’s starting to make a

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What Is Remote Monitoring? A guide for modern enterprises

In today’s connected world, remote monitoring has become essential for businesses that want to keep an eye on their systems, assets, and operations from anywhere. Whether it’s industrial equipment, healthcare tools, or IT systems, remote monitoring gives teams the real-time data and visibility they need to improve performance, cut downtime, and keep everything running smoothly. 

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Industrial data analytics. Importance for data driven manufacturing.

Manufacturing today is more complex than ever. With production lines running at full speed, machine sensors constantly collecting data and global supply chains in motion, factories generate an enormous amount of real-time information every second. But collecting data isn’t the same as using it effectively — the real challenge is turning raw numbers into insights

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How to improve Health, Safety and Environmental performance?

How to improve Health, Safety and Environmental performance?

Improving health, safety, and environmental performance is key to keeping people safe, staying compliant with regulations, and creating a workplace that values safety and responsibility. It helps prevent accidents, protects the environment, and keeps everything running smoothly. Plus, it saves money in the long run by avoiding costs from incidents and boosts the company’s reputation

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Predictive maintenance in manufacturing: IoT, AI & 3D Digital Twin

In today’s rapidly evolving manufacturing world, predictive maintenance has become an essential strategy for boosting productivity and cutting costs. While traditional preventive maintenance remains important, it can lead to inefficiencies or unplanned downtime. By leveraging modern technologies like the Internet of Things (IoT), 3D Digital Twin, and AI, predictive maintenance enhances preventive efforts, allowing manufacturers

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The Ground-Level Guide to Implementing Digital Twin 

In today’s fast-paced world of Artificial Intelligence and other big leaps in robotics and automation, Digital Twins have quickly gained popularity among manufacturers. For those in charge of manufacturing plants that produce more data every millisecond than that of any other industry, it is crucial to access the most relevant information to make swift decisions

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Smarter data management with industrial IoT and 3D Digital Twin

The Internet of Things (IoT) refers to a network of physical devices, vehicles, appliances, and other physical objects embedded with sensors, software, and network connectivity, allowing them to collect and share data [1]. An IoT platform is a suite of integrated software capabilities designed to support and manage IoT devices and applications. These platforms provide

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Digital Twin Ontology: Unlocking Efficiency and Innovation

In the field of information science and knowledge representation, an “ontology” refers to a formal and explicit specification of concepts, entities, and relationships within a specific domain of interest. Essentially, it outlines the structure and semantics of a knowledge domain by organizing concepts into a hierarchy and defining their properties and interconnections. Central to the

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