Siemens and Microsoft Drive Industrial Productivity with Generative Artificial Intelligence
Customer Company Size
Large Corporate
Region
- Europe
Country
- Germany
Product
- Teamcenter
- Microsoft Teams
- Azure OpenAI Service
- Siemens Industrial Edge
Tech Stack
- Generative AI
- Machine Learning
- Natural Language Processing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Innovation Output
Technology Category
- Analytics & Modeling - Machine Learning
- Functional Applications - Product Lifecycle Management Systems (PLM)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Software
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Maintenance
- Visual Quality Detection
- Machine Condition Monitoring
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Siemens and Microsoft are two leading technology companies with a longstanding strategic relationship built on over 35 years of joint innovation. Siemens is a global powerhouse focusing on the areas of electrification, automation, and digitalization, while Microsoft is a leader in software, services, devices, and solutions that help people and businesses realize their full potential. Together, they are harnessing the power of generative artificial intelligence to drive innovation and efficiency in industrial companies. Their collaboration aims to enhance productivity and innovation across the design, engineering, manufacturing, and operational lifecycle of products. By integrating Siemens’ Teamcenter software with Microsoft’s collaboration platform Teams and Azure OpenAI Service, they are enabling cross-functional collaboration and streamlining processes in industrial settings. This partnership is part of their broader efforts to support customers in hosting business applications in the Microsoft Cloud and running solutions from the Siemens Xcelerator open digital business platform.
The Challenge
Siemens and Microsoft are addressing the challenge of enhancing industrial productivity and innovation across the product lifecycle. The integration of Siemens’ Teamcenter software with Microsoft Teams and Azure OpenAI Service aims to improve cross-functional collaboration and streamline processes in design, engineering, manufacturing, and operations. The companies are focusing on enabling design engineers, frontline workers, and teams across business functions to close feedback loops faster and solve challenges collaboratively. Additionally, they are working on accelerating code generation for Programmable Logic Controllers (PLC) to reduce time and errors in software development for factory automation. Another critical challenge is detecting and preventing product defects early in the production process to avoid costly adjustments.
The Solution
Siemens and Microsoft are integrating Siemens’ Teamcenter software for product lifecycle management with Microsoft Teams and Azure OpenAI Service to enhance cross-functional collaboration. The new Teamcenter app for Microsoft Teams, expected later in 2023, will enable design engineers, frontline workers, and teams across business functions to close feedback loops faster and solve challenges together. The app allows service engineers or production operatives to document and report product design or quality concerns using natural speech, which is then parsed by Azure OpenAI Service to create summarized reports. These reports are routed within Teamcenter to the appropriate experts, facilitating faster design changes and innovation cycles. Additionally, Siemens and Microsoft are collaborating to accelerate code generation for Programmable Logic Controllers (PLC) using OpenAI’s ChatGPT and other Azure AI services. This approach aims to reduce time and errors in software development for factory automation. Furthermore, the companies are leveraging industrial AI, such as computer vision, to enable quality management teams to scale quality control and identify product variances more easily. By using Microsoft Azure Machine Learning and Siemens’ Industrial Edge, images captured by cameras and videos can be analyzed to build, deploy, run, and monitor AI vision models on the shop floor.
Operational Impact
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