Industrial data analytics. Importance for data driven manufacturing.

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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?

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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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Reflecting on 2024: A Year of Growth, Innovation, and Impact

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Q: Could you name some key numbers related to our economic performance, external visibility, and marketing efforts this year? Jani Akkila: Sure! This year, our Monthly Recurring Revenue (MRR) saw an impressive growth of +80%, which really speaks to the trust our customers have in us and the increasing demand for our solutions. When it

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How IoT, AI, and 3D Digital Twin boost predictive maintenance in manufacturing

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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 

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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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Pekotek: White Labeling allows Pekotek’s end customers to benefit from cost savings and predictive maintenance capabilities provided by the 3D Digital Twin

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Pekotek Oy, a Finnish company specializing in industrial surface treatment systems and equipment, is consistently enhancing its solutions to improve production efficiency for its customers. A key cost concern for their customers is the absence of predictive maintenance. To address this issue, we began exploring the Genius Core 3D Digital Twin platform and its predictive

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Next level of Data management: IoT and Digital Twin to overcome the data noise

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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

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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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Process Genius launches fully configurable digital twin

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Finnish producer of 3D digital twins for industrial manufacturing Process Genius has just announced the launch of its new, fully configurable digital twin Genius Core for the European market. Genius Core tackles the critical issue of digital noise in industrial processes, where hundreds of systems and sensors combine, making it extremely difficult to keep track

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