Digitization
Siemens starts Allianz for industrial AI
Europe may be left behind in general artificial intelligence, at AI for industry the chances are better – Siemens wants to improve its chances with an alliance.
In the race for the industrial AI of the future, Siemens got allies from European mechanical engineering. In addition to the Munich -based company, the newly founded data alliance also includes the machine tool manufacturers Grob, Trumpf, Chiron, Renishaw, Heller, the machine tool laboratory of the RWTH Aachen and the Voith Group, as Siemens announced. The core of the cooperation is the exchange of anonymous machine data.
The basic idea behind the merger is that artificial intelligence is better, the higher the quality the amount of data it is trained with. Here you can see an opportunity for European companies at Siemens. Because while the continent in terms of classic AI currently seems rather dependent compared to the USA or China, you can see yourself well positioned here.
“Together with customers and partners, we take a significant step today to scale industrial AI,” says Siemens boss Roland Busch. “I see a great opportunity for the economy of Europe with its strong industrial basis,” explains the manager. “By making the unique data wealth of our companies available for generative AI models, we can achieve completely new levels of productivity.” In the long term, the data alliance wants to establish an open standard for the exchange of machine data.
Reliability is the central requirement
An important difference to known general AI models such as chatt is that industrial AI must be much more reliable because errors could quickly have expensive or dangerous consequences. A way there is to train you with reliable data from industry. “Access to high -quality machine data from different manufacturers is the key,” said Busch. “With this alliance we can develop AI systems that understand the complexity in development and production and thus become a powerful partner for specialists.”
As an application example, Siemens sees, for example, the creation of programs for machines – with their help you can make faster, sink error rates and relieved programmer of basic tasks. Other areas are forward -looking maintenance with machine -specific forecasts, manufacturing processes that adapt to changing conditions and improved energy efficiency in real time.
dpa
Source: Stern
