- Siemens’ new Teamcenter app for Microsoft Teams to make use of AI, boosting productiveness and innovation all through a product lifecycle.
- Azure OpenAI Service powered assistant can increase the creation, optimization and debugging of code in software program for manufacturing unit automation.
- Industrial AI to allow visible high quality inspection on the store flooring.
Siemens and Microsoft are harnessing the collaborative energy of generative synthetic intelligence (AI) to assist industrial corporations drive innovation and effectivity throughout the design, engineering, manufacturing and operational lifecycle of merchandise. To improve cross-functional collaboration, the businesses are integrating Siemens’ Teamcenter® software program for product lifecycle administration (PLM) with Microsoft’s collaboration platform Teams and the language fashions in Azure OpenAI Service in addition to different Azure AI capabilities. At Hannover Messe, the 2 know-how leaders will display how generative AI can improve manufacturing unit automation and operations by way of AI-powered software program growth, drawback reporting and visible high quality inspection.
“The integration of AI into technology platforms will profoundly change how we work and how every business operates,” stated Scott Guthrie, govt vice chairman, Cloud + AI, Microsoft. “With Siemens, we are bringing the power of AI to more industrial organizations, enabling them to simplify workflows, overcome silos and collaborate in more inclusive ways to accelerate customer-centric innovation.”
Connecting store flooring employees with groups throughout enterprise capabilities by way of AI-powered collaborative apps
With the brand new Teamcenter app for Microsoft Teams, anticipated later in 2023, the businesses are enabling design engineers, frontline employees and groups throughout enterprise capabilities to shut suggestions loops quicker and resolve challenges collectively. For instance, service engineers or manufacturing operatives can use cell gadgets to doc and report product design or high quality issues utilizing pure speech. Through Azure OpenAI Service, the app can parse that casual speech information, routinely making a summarized report and routing it inside Teamcenter to the suitable design, engineering or manufacturing skilled. To foster inclusion, employees can document their observations of their most well-liked languages which is then translated into the official firm language with Microsoft Azure AI. Microsoft Teams supplies user-friendly options like push notifications to simplify workflow approvals, scale back the time it takes to request design modifications and pace up innovation cycles. The Teamcenter app for Microsoft Teams can allow hundreds of thousands of employees who would not have entry to PLM instruments at present to affect the design and manufacturing course of extra simply as a part of their present workflows.
Keeping factories working with AI-powered automation software program engineering
Siemens and Microsoft are additionally collaborating to assist software program builders and automation engineers speed up the code technology for Programmable Logic Controllers (PLC), the commercial computer systems that management most machines internationally’s factories. At Hannover Messe, the businesses are demonstrating an idea for a way OpenAI’s ChatGPT and different Azure AI providers can increase Siemens’ industrial automation engineering options. The showcase will spotlight how engineering groups can considerably scale back time and the chance of errors by producing PLC code by way of pure language inputs. These capabilities can even allow upkeep groups to determine errors and generate step-by-step options extra shortly.
“Powerful, advanced artificial intelligence is emerging as one of the most important technologies for digital transformation,” stated 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.”
Finding and stopping product defects with industrial AI
Detecting defects in manufacturing early is crucial to forestall expensive and time-consuming manufacturing changes. Industrial AI like laptop imaginative and prescient allows high quality administration groups to scale high quality management, determine product variances simpler and make real-time changes even quicker. In Hanover, groups will display how, utilizing Microsoft Azure Machine Learning and Siemens’ Industrial Edge, pictures captured by cameras and movies may be analyzed by machine studying methods and used to construct, deploy, run and monitor AI imaginative and prescient fashions on the store flooring.
This collaboration is a part of the longstanding strategic relationship between Siemens and Microsoft, constructed on over 35 years of joint innovation with hundreds of shoppers. Other areas of collaboration embody Senseye on Azure, enabling corporations to run predictive upkeep at enterprise scale and help for purchasers that search to host their enterprise functions within the Microsoft Cloud to run options from the Siemens Xcelerator open digital enterprise platform, together with Teamcenter, on Azure. Siemens can be partnering with Microsoft as a part of its zero belief technique.
Contact for journalists
Microsoft Media Relations: WE Communications for Microsoft, (425) 638-7777, [email protected]
Siemens Digital Industries Software PR Team: [email protected]
About Microsoft
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