Siemens leads data alliance: Artificial intelligence in industry

Data Alliance Siemens Launches Alliance for Industrial AI

2025-09-26 Source: dpa 1 min Reading Time

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In the race for the industrial AI of the future, Siemens has gained allies from European mechanical engineering.

A conceivable use case in the field of machine tools is the automated creation of a part program for machine tools.(Image: Siemens AG) — A conceivable use case in the field of machine tools is the automated creation of a part program for machine tools.
(Image: Siemens AG)

The newly founded data alliance includes not only the Munich-based (Germany) company but also machine tool manufacturers Grob, Trumpf, Chiron, Renishaw, Heller, the Machine Tool Laboratory of RWTH Aachen, and the Voith Group, according to Siemens. The core of the collaboration is the exchange of anonymized machine data.

The fundamental idea behind the collaboration is that artificial intelligence improves as the quality and quantity of the data it is trained on increase. Siemens sees an opportunity for European companies in this regard. While the continent currently appears to lag behind the USA or China in terms of traditional AI, it considers itself well-positioned in this area.

"Together with customers and partners, we are taking a significant step today to scale industrial AI," says Siemens CEO Roland Busch. "I see a great opportunity here for Europe's economy with its strong industrial base," explains the manager. "By making the unique data assets of our companies available for generative AI models, we can achieve entirely new levels of productivity." In the long term, the data alliance aims to establish an open standard for the exchange of machine data.

Reliability is the Central Requirement

An important distinction from well-known general AI models like ChatGPT is that industrial AI must be far more reliable, as errors could quickly have costly or dangerous consequences. One way to achieve this is by training it with reliable data from the industry. "Access to high-quality machine data from various manufacturers is key," said Busch. "With this alliance, we can develop AI systems that understand the complexity in development and manufacturing, becoming a powerful partner for professionals."

As an application example, Siemens envisions the creation of programs for machines—helping to accelerate progress, reduce error rates, and relieve programmers of basic tasks. Other areas include predictive maintenance with machine-specific forecasts, manufacturing processes that adapt in real-time to changing conditions, and improved energy efficiency.

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Date: 08.12.2025

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