At CES, Siemens highlighted its vision for the future of industries, where AI, data, and automation converge to drive flexibility, optimization, and improvement. The company introduced its Industrial Copilot for Operations, bringing AI closer to machines for faster decision-making and enhanced productivity. Siemens also showcased its Teamcenter Digital Reality Viewer, integrating Nvidia Omniverse for real-time ray tracing and accelerated computing. This solution enables photorealistic visualization of large datasets, enhancing digital twin interactions and streamlining workflows. The Digital Reality Viewer reduces costs, accelerates development, and supports collaborative decision-making across various stages of product life cycles.
At CES, Siemens showed its vision for the future of industries, where data, AI, and software-defined automation converge to enable flexibility, optimization, and continuous improvement.
The company demonstrated its technologies and said AI has the potential to create a significant positive impact across all industries. It enables organizations to harness industrial data and turn it into insights that drive business impact.
Siemens also introduced its Industrial Copilot for Operations, which brings industrial AI to the shop floor. This enables AI tasks to run close to machines, facilitating rapid decision-making and boosting productivity. The Siemens Industrial Copilot ecosystem offers AI capabilities across the industrial value chain, enhancing human-machine collaboration and accelerating development times.
The Siemens Industrial Copilot will be integrated with the Industrial Edge ecosystem, which has been enhanced with AI for deploying, operating, and managing AI models within production environments.
Siemens Teamcenter Digital Reality Viewer is a software solution that integrates the Nvidia Omniverse platform and accelerated computing into Teamcenter. This innovation enables high-performance, photorealistic visualization of large and complex engineering and manufacturing datasets.
Leveraging Nvidia Omniverse, the Teamcenter Digital Reality Viewer brings real-time ray tracing directly into Teamcenter, allowing companies to visualize and interact with physics-based digital twins of their products in photorealistic detail. This integration streamlines workflows, reducing waste and minimizing errors.
Teamcenter Digital Reality Viewer enables:
• Realistic visualization: Customers can interact with physics-based digital twins of their products, gaining clearer insights and improved understanding of design concepts.
• Cost and time efficiency: By incorporating photorealistic visualization into Siemens’ digital twin technology, the need for physical prototypes and separate virtual environments is reduced, lowering costs and accelerating development cycles.
• Collaborative alignment: Teamcenter’s secure, real-time collaboration ensures stakeholders stay updated and work with the latest data.
• Synchronized 3D data: Live integration of 3D data keeps product information consistent, minimizing errors and discrepancies.
• Improved decision-making: Teamcenter tracks visualizations, discussions, and revisions, enhancing clarity and traceability.
• Broad application: The Digital Reality Viewer supports diverse product life cycle stages, from design to marketing, within a single platform.
The Teamcenter Digital Reality Viewer integrates Nvidia’s visualization technology with Siemens’ secure cloud infrastructure, utilizing Nvidia Omniverse for real-time ray tracing and Nvidia accelerated computing for on-demand processing. A centralized, cloud-based GPU cluster provides consistent visualization capabilities across users. This rendering-as-a-service approach allows clients to focus on their workflows without managing hardware and software.
Siemens points out that manufacturers can enhance their PLM digital thread backbone by incorporating realistic visualization into multi-CAD data. This integration adds fidelity and context to digital twins, improving the experience for design, review, and collaboration processes.
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