Digital twin technology: why and how it matters? A digital twin is a virtual representation of a physical product or process, used to understand and predict the physical counterpart’s performance characteristics. Dr Michael Grieves Co...
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The rapid pace of technological change brings both opportunities and threats for businesses, across domains and industries. As a matter of fact, every organizations increasingly rely on technology to differentiate their products, service...
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Systems Engineering enables product data traceability Organisations and people need simplification to manage complexity and derive ‘big or complex things’ into smaller and manageable systems – where a system is a set of interacting ele...
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It does not matter what technology is used in the background, whether it is called machine to machine (M2M), Internet of Things (IoT), mobility, cloud, big data, or whatever other technical jargon. The IoT is about sensors (which capture...
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Businesses demand more intelligent products and intelligent products demand data intelligence. The typical challenges with data engineering (which obviously relate to the ‘science of data‘) include one or more of the following considerat...
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Big data is a popular buzzword, or catch-phrase, used to describe a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software. Data is dead. Long live big...
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Nowadays everything is getting connected with ‘smart‘ products and devices transmitting and sharing useful information. In the manufacturing industry, data become more and more available with embedded software and sensors for analysis, o...
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