One example cited in the press release about this collaboration involves service engineers or production workers using mobile devices to document and report product design or quality concerns using natural speech. This capability is enabled through the Azure OpenAI Service, which can parse informal speech data to create a summarized report and route it within Teamcenter to the appropriate design, engineering or manufacturing expert. User inputs can be recorded in any language. These inputs will be translated by Azure AI into the official company language.
This ability should prove to be key in detecting and recording defects early in production to help prevent costly and time-consuming production adjustments. Siemens and Microsoft say industrial AI, like computer vision, enables quality management teams to scale quality control, identify product variances easier and make real-time adjustments faster.
The two companies are also collaborating to help software developers and automation engineers accelerate the code generation for programmable logic controllers (PLCs) using OpenAI’s ChatGPT and other Azure AI services. Using ChatGPT, Siemens and Microsoft say engineering teams can significantly reduce time and the probability of errors by generating PLC code through natural language inputs. These capabilities can also enable maintenance teams to identify errors and generate step-by-step solutions more quickly.
“Powerful, advanced artificial intelligence is emerging as one of the most important technologies for digital transformation,” said Cedrik Neike, member of the managing board of Siemens AG and CEO Digital Industries. “Siemens and Microsoft are coming together to deploy tools like ChatGPT so we can empower workers at enterprises of all sizes to collaborate and innovate in new ways.”
