
Three Ways to Use Data Intelligently for Greater Efficiency and Sustainability
Digital transformation for manufacturing empowers manufacturers to improve efficiency, reduce waste, and deliver better customer experiences.
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Digital Twin, PLM, ALM, events and engineering insights from NEAX.

Digital transformation for manufacturing empowers manufacturers to improve efficiency, reduce waste, and deliver better customer experiences.

From seamless device connectivity to flexible data infrastructure and AI integration, this guide outlines key foundations for enhancing operational efficiency, reducing costs, and staying competitive in the era of industrial IoT.

Hexagon acquires CADLM to enhance AI-driven smart simulation The acquisition integrates the ODYSSEE platform, applying AI/machine learning to CAE for faster, more accurate simulations — optimizing design and boosting manufacturing productivity.

Real-time multibody dynamics models traditionally required a low number of degrees of freedom. Adams Real Time enables high-fidelity engineering models to be reused in real-time applications without sacrificing the model detail needed for accurate system behavior.

Global automotive and aerospace manufacturers are already using Hexagon’s Digital Factory solutions to map and model decades-old brownfield facilities in preparation for increases in production or introduction of new lines in what are increasingly competitive global markets undergoing significant change.

Known as the fourth industrial revolution, it is changing how manufacturers create, handle, and develop products. Three essential technologies are at the heart of this change: artificial intelligence (AI), digital twins, and product lifecycle management (PLM). Throughout the business value chain, these technologies work together to increase productivity, lower expenses, and stimulate innovation. The growth of PLM, the importance of digital twins, and how AI is transforming industrial automation and decision-making are all covered in detail in this article.