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Shifting from UML to ontology-based systems for enhanced digital twin integration

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During our “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets” webinar, we discussed the strategic shift from Unified Modeling Language (UML) to ontologies, highlighting this as a pivotal evolution in our approach to data management, particularly in the context of built asset digital twins. Unified Modeling Language (UML): UML has […]

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The role of AI in data strategy

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In our “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets” webinar, we highlighted the critical role of Artificial Intelligence (AI) in our data strategy, emphasizing its integration for enhancing the management and utilization of data, especially in the context of built asset digital twins. Focusing on Explainable and Actionable

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Traceability, Ontology, and Configuration Management: Eurostep’s data integration strategy

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In the realm of data management and strategic asset optimization, at Eurostep we emphasize the importance of three key concepts: traceability, ontology, and configuration management. These components were a focal point in our “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets” webinar and are central to our approach to

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A clever way to get to an integrated information model – start with one

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Over the last couple of days I have been reading articles about pro’s and con’s in growing a PLM company through mergers and acquisitions. M&A activities many times target the capabilities of PLM vendors to deliver Digital Transformation with Digital Twin and Digital Thread. Some voices in the discussion mention the hard work post M&A

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Collaboration in the Engineering and Manufacturing Supply Chain – the Extended Digital Thread and Smart Manufacturing

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Business is increasingly performed in networks. These can involve the supply chain, partners, joint ventures and customers. There are many reasons for networked business, such as global access to markets, access to skills, time to market and time to volume production. Sometimes the driver is access to data and information. Many companies have transformed into

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How to make better decisions using your hidden product information

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In the good (?) old days of the industrial revolution, the drawing artefact carried the abstract product definition. The drawing was a physical and tangible thing, which made it easy to understand and manage mentally. The drawing represented the shape of the part/assembly, but not only that, all other properties as well. Many assembly drawings

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The automotive industry needs to change and collaborate more to keep up with rapid speed of change

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Key points: Meeting the challenges of the automotive industry with collaborative engineering data software Recent studies published by PwC and McKinsey put focus on the new challenges in the automotive industry. Over the last couple of years, we have seen big changes in how automotive companies collaborate and seek new ways to make business more

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Big Data vs. Small Data: Eurostep’s approach to Built Asset Digital Twins

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At Eurostep, our approach to data management underscores a critical distinction between big data and small data, each with its unique characteristics and applications. During our “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets” webinar, we delved into this differentiation, illustrating how our strategies effectively leverage both data types

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