“Together with Microsoft, our shared vision is to empower customers with the adoption of generative AI,” adds Roland Busch, CEO of Siemens. “This has the potential to revolutionize the way companies design, develop, manufacture and operate. Making human-machine collaboration more widely available allows engineers to accelerate code development, increase innovation and tackle skilled labor shortages.”

Siemens Industrial Copilot allows end users to rapidly generate, optimize and debug complex automation code, and significantly shorten simulation times. This will reduce a task that previously took weeks to minutes.

The copilot ingests automation and process simulation information from Siemens’ open digital business platform, Siemens Xcelerator, and enhances it with Microsoft’s Azure OpenAI Service. Companies maintain full control over their data, and it is not used to train underlying AI models.

According to Busch, Siemens Industrial Copilot promises to boost productivity and efficiency across the industrial life cycle. “Using natural language, maintenance staff can be assisted with detailed repair instructions and engineers [can gain] quick access to simulation tools,” he points out.

Schaeffler AG, a leading automotive supplier, is one of the first manufacturers to embrace generative AI in the engineering phase. The technology helps its engineers generate reliable code for programming industrial automation systems such as robots.

“With this joint pilot, we’re stepping into a new age of productivity and innovation,” claims Klaus Rosenfeld, CEO of the Schaeffler Group. “[The industrial copilot] will help our team work more efficiently, reduce repetitive tasks and unleash creativity. We’re excited to partner with Siemens and Microsoft on this project.”