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Siemens unveils breakthrough innovations in industrial AI and digital twin technology at CES 2025
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press.siemens.com, Jan. 06, 2025 –
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Siemens is showcasing its vision for the future where data, AI and software-defined automation will converge to enable unprecedented flexibility, optimization and continuous improvement across the world's industries, for companies of any size. This ambition is at the heart of Siemens' presence at CES 2025, the world's most influential tech event. Siemens – the global leader in industrial software –demonstrated how its technologies are empowering customers to take bold leaps in industrial innovation.
"Industrial AI is a game-changer that will create significant positive impact in the real world across all industries. Industrial AI allows us to harness the vast amounts of data generated in industrial environments and turn it into insights that drive real business impact. We are adding new industrial AI capabilities across the Siemens Xcelerator portfolio to enable our customers to stay competitive, resilient and sustainable in an increasingly complex world," said Peter Koerte, Member of the Managing Board, Chief Technology Officer and Chief Strategy officer, Siemens AG.
Siemens is bringing Industrial AI directly to the shop floor with the new Siemens Industrial Copilot for Operations, enabling AI tasks to run as close as possible to machines. This facilitates rapid, real-time decision making for shop floor operators and maintenance engineers, boosting productivity, operational efficiency and minimizing downtime. The Siemens Industrial Copilot ecosystem is continuously evolving to offer AI capabilities across the industrial value chain and into sectors including discrete and process manufacturing, infrastructure, and mobility. This suite of copilots can enhance human-machine collaboration across all experience levels, helping to accelerate development times and innovation cycles. 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 the production environment.