Connect shop floor workers with teams across business functions through AI-powered collaboration apps
The new Teamcenter app for Microsoft Teams, scheduled for the second half of 2023, will enable teams across design engineers, frontline employees, and business functions to more quickly close feedback loops and solve challenges together. I’m trying For example, service engineers and manufacturing personnel can use their mobile devices to document and report product design and quality issues in a natural voice. Through Azure OpenAI services, apps can parse informal voice data, automatically create summary reports, and route them within Teamcenter to the appropriate design, engineering, or manufacturing experts. To encourage inclusion, employees can record observations in their preferred language and use Microsoft Azure AI to translate them into the official language of the company. Microsoft Teams offers user-friendly features like push notifications to simplify workflow approvals, speed up engineering change requests, and speed up innovation cycles. With his Teamcenter app for Microsoft Teams, millions of employees who currently do not have access to PLM tools can more easily influence their design and manufacturing processes as part of their existing workflows. .
Keep factories running with AI-powered automation software engineering
Siemens and Microsoft are also collaborating to help software developers and automation engineers accelerate code generation for programmable logic controllers (PLCs), the industrial computers that control most machines in factories around the world. At Hannover Messe, the companies are demonstrating a proof-of-concept of how OpenAI’s ChatGPT and other Azure AI services can enhance Siemens’ industrial automation engineering solutions. This showcase will focus on how an engineering team can generate his PLC code through natural language input, significantly reducing time and the potential for error. These features also enable maintenance teams to identify errors and generate step-by-step solutions more quickly.
Cedrik Neike, Member of the Board of Management of Siemens AG and CEO of Digital Industries, said: “Together with Siemens and Microsoft he will deploy tools like ChatGPT to enable employees at companies of all sizes to collaborate and innovate in new ways.”
Find and Prevent Product Defects with Industrial AI
Early detection of defects in production is critical to avoid costly and time-consuming production adjustments. Industrial AI like computer vision enables quality teams to scale quality control, identify product variances more easily, and make real-time adjustments faster. Hannover uses Microsoft Azure Machine Learning and Siemens’ Industrial Edge to analyze images captured by cameras and videos with machine learning systems to build, deploy, run and monitor AI vision models on the manufacturing floor. the team will perform.
