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Reading Time: 32 minutesMost clinical operations leaders can name the moment a study started to slip, and it’s rarely dramatic. A protocol decision gets made in one room. A feasibility plan gets built in a spreadsheet somewhere else. A budget gets modeled in yet another tool. Then the startup and monitoring teams inherit all of it, along with […]

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The hard part was never the writing.

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Read why modern manufacturers must abandon cost-first, single-source playbooks in favor of connected, agile operating systems. By integrating virtual twins, industrial AI, regionalized sourcing and real-time visibility, organizations can turn ongoing disruption into a sustainable competitive advantage.

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Introduction: The AI Revolution in Asset Management Asset management firms are under increasing pressure to optimize…

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Virtual twins benefit Dassault Systèmes customers across all industries, enabling companies to improve efficiency, innovation and sustainability.

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In pharmaceutical and biotech manufacturing, a single mismeasured drop can quietly ruin an entire batch, yet manual, paper-based recipes still leave too much to human vigilance. This post shows how Recipe Management Engineering, a DELMIA module on the 3DEXPERIENCE platform, freezes recipes as authoritative control documents through standardized authoring, version control and enforced execution that connects R&D to the shop floor and stops costly failures before they start.

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BIOVIA Generative Therapeutics Design integrates NVIDIA MolMIM NIM, combining generative AI with classical simulation to design better drugs faster, in a unified workflow.

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This blog provides a tutorial that explores how to program a robot with a Fanuc controller in a fixed Tool Center Point (TCP) mode – a specific, stationary point in the robot’s workcell that the tool tip is programmed to return to or interact with–using DELMIA Machining.

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AI Financial Services: Practical Use Cases for Financial Institutions The rise of AI financial services is…

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DELMIA enables manufacturers to model and stress-test operations against energy scenarios, helping optimize processes to combat price volatility and protect profit margins. The digital tools allow for simulation-driven improvements across short-term, medium-term, and long-term horizons, facilitating a transition to more energy-efficient production.

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Long Kai is an Associate Professor at the School of Renewable Energy, North China Electric Power University, and a 2022 Dassault Systèmes SIMULIA Champion. Having earned his Ph.D. from the Beijing Institute of Technology in 2007, he has long focused on theoretical methods in structural topology optimization and their engineering applications to lightweight wind turbine components. He has led numerous national and provincial natural science foundation projects, published over a hundred academic papers, and ranks among the top 1% of highly cited scholars on CNKI (China National Knowledge Infrastructure). From analyzing heavy truck chassis in his early career to reshaping the structural framework of today’s 10,000-ton deep-sea offshore wind behemoths, Long has remained dedicated to grounding cutting-edge optimization algorithms in real-world industrial applications.

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Reading Time: 4 minutesWe’re living through a golden age of life sciences discovery. Fueled by the convergence of AI, multiomics, and cloud-native automation, candidate molecules are being accelerated from in silico design to first-in-human studies at a breakneck pace. But despite this high-tech backdrop, industry leaders are at an inflection point. While therapeutic innovation has accelerated, the clinical […]

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