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Sustainable product development begins with the decisions engineers make during concept and design. Discover how connected product data, virtual twins and cross-functional collaboration allow teams to evaluate sustainability earlier, reduce costly rework and improve outcomes across the product lifecycle.

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Introduction: The Evolution of AI in Asset Management The asset management industry is undergoing a paradigm…

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What’s new in ENOVIA R2026x FD04 goes beyond new features—it’s about helping teams spend less time managing complexity and more time moving products forward. Explore how AI-powered capabilities and targeted enhancements can improve decision-making, planning and collaboration across engineering and product teams.

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DELMIA Machining implements all four pillars of AI‐assisted CAM programming—virtual twins, knowledge platforms, virtual companions, and AI learning—delivering 40–75% programming time reduction through feature recognition, automatic programming from know‐how, and feed & speed optimization.

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Introduction: The Imperative of Traceability in AI for Compliance In an era of increasingly complex and…

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Twice a year, founders pitch their startups live in front of a Dassault Systèmes audience in order to get into the 3DEXPERIENCE Lab accelerator program.

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Integrated planning connects mining, logistics, processing, and port operations into a single, data-driven ecosystem, enabling mining companies to optimize decision-making, improve operational agility, and maximize value across the entire pit-to-port supply chain.

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Reading Time: 5 minutesWelcome to the Clinical Minds “Innovator Insights Corner,” where we’ll be sharing fascinating stories, perspectives, and predictions from the guests of “from Dreamers to Disruptors,” a podcast by Medidata exploring life sciences innovation and the visionaries behind it all. Technological innovation drives progress in clinical research through artificial intelligence (AI), advanced data management, medical-grade wearables […]

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The science and data behind AI models and systems matter immensely. That’s why our AI is trained on decades of engineering-specific research and expertise.

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We interviewed Christina Feist, Generative Experiences Role Portfolio Director in SIMULIA R&D, about artificial intelligence (AI), machine learning (ML) and what it means for SIMULIA simulation users.

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Data centers are being slowly relocated to space, as companies aim to reduce the strain on terrestrial energy grids, access unlimited solar power and mitigate the environmental impact of AI’s growing energy demands.

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SIMULIA had the privilege of interviewing Michael Wollitzer of Rosenberger during the EuroCentral 2025 SIMULIA Regional User Meeting about his presentation: Efficient development by virtual prototyping: A connector manufacturer’s view.

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