AEC

The data-driven revolution in construction projects – From chaos to clarity

We often hear about data being “the new oil.” But in our experience, asset data isn’t just a valuable resource—it’s the foundation for smarter, more sustainable projects. Data describing your physical asset, when properly structured and shared, has the power to streamline workflows, improve coordination, and ultimately transform how we design, build, and maintain infrastructure. […]

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Webinar: Mastering asset data for complex AEC&Plant projects

Unlock the full potential of your asset data In industries like Architecture, Engineering, and Construction (AEC) and plant management, handling vast amounts of asset data can be challenging: siloed and unrelated data schemes prevent full reusability and hinder expected insights from unused data. This webinar will show you how ShareAspace iAIM can help you tackle

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The Future of Data Management

In our previous webinar, “Leveraging AI* for built asset Digital Twins – Turning scattered data into strategic assets“, we not only addressed current practices but also cast a vision for the future of data management, particularly in the realm of built asset digital twins. This future is shaped by our ongoing commitment to innovation and

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

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

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

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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Closing the Information Gaps in BIM: Critical for Industry Success – A Commentary by CIMdata

Buildings, infrastructure, and similar physical assets are designed and constructed by AEC/EPC firms and typically owned and operated (O/O) by other organizations. This leads to a typical data dilemma: too much data that is often not the correct data nor semantically accurate to be usable. Data governance is badly needed, and it requires data alignment.

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Eurostep to Offer Expert Insights at TCG’s Annual Inspirationsdagen in Stockholm

Stockholm, Sweden — September 14, 2023 — Eurostep, a leader in providing software solutions for secure PLM collaboration across various industries, has announced its participation in TCG’s annual Inspirationsdagen event. The event, scheduled for October 12th, will focus on enhancing information quality of technical facility information. High-Caliber Contributions Eurostep will be part of the Track 1

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Learn about Technological Innovation Trends of the Future Railway System

Eurostep’s Sylvain Marie to present at STARS Tutorial on Smart Asset Management/Maintenance of the future & Railways Digital Twin

We are excited to announce that Sylvain Marie, Director AEC&Plant industry vertical at Eurostep, will be presenting at the STARS Tutorial on Smart Asset Management/Maintenance of the future & Railways Digital Twin on June 30, 2023. This event promises to provide invaluable insights into the future of railway system technology, focusing on smart asset management,

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