Siemens and Machine Tool Makers Form Data-Sharing Alliance to Power Industrial AI

Siemens and Machine Tool Makers Form Data-Sharing Alliance to Power Industrial AI

Siemens has joined forces with leading machine tool manufacturers and research partners to create a data-sharing alliance that accelerates industrial AI and the Industrial Foundation Model (IFM).

Alliance Enables Industrial AI and Practical AI Applications

This coalition brings together machine tool makers, Aachen University, and industrial partners to share anonymized engineering, manufacturing, and machine data under strict security and privacy controls.

Key keywords: Siemens, machine tools, data-sharing alliance, industrial AI, IFM, generative AI, CNC program generation, predictive maintenance, adaptive manufacturing.

By pooling high-quality machine data, the alliance aims to train generative AI models tailored to industrial needs, improving productivity and shortening innovation cycles.

  • CNC program generation: automatic creation of NC code to speed programming and reduce human error.
  • Predictive maintenance: machine-specific failure prediction to minimize downtime.
  • Adaptive manufacturing: real-time process adjustment for variable conditions.
  • Energy optimization: intelligent parameter control to improve efficiency.

Siemens CEO Roland Busch highlights that open, secure data exchange is essential to build AI systems that reflect real-world manufacturing complexity and empower skilled workers.

The alliance will enforce rigorous data protection, anonymization, and security standards so models can be trained without exposing sensitive information.

Benefits include faster NC program creation, fewer coding errors, higher uptime, lower energy use, and more focus on complex engineering tasks.

Next steps: the alliance plans to expand beyond machine tools and invite more companies to scale industrial AI across sectors like automotive, chemical, pharmaceuticals, and energy.

Learn more about joining the alliance or follow developments to see how IFM-driven solutions transform manufacturing.

Call to action: Explore industrial AI use cases, share anonymized manufacturing data, and collaborate to realize scalable, secure AI for industry.

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