Siemens powers 4 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 3 countries. Documented deployments include AI agents, copilots.
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Use Cases
4
Industries
3
Countries
3
Agent Cases
2
Hyperscaler mix
Filter Siemens's implementations by cloud provider evidence.
How Siemens builds AIBuild, Buy & Compose — what they mean
At CES 2025, Microsoft showcased real-world achievements by automotive leaders like Toyota, BMW, and CarMax leveraging Azure AI and partner technologies to transform vehicle design, manufacturing, and customer experience. Automotive and mobility companies accelerate innovation with agentic and generative AI on Azure, revolutionizing software-defined vehicles, autonomous driving, and connected customer experiences. Microsoft and key partners provide AI-powered tools for engineering, factory optimization, supply chain resilience, and customer engagement.Examples highlighted include Toyota deploying AI agents for faster engineering collaboration, BMW using Azure for accelerated data delivery, and CarMax scaling automotive innovation through Microsoft AI. Partners Siemens, PTC, Ansys, Bosch, and others contribute solutions spanning engineering, sustainability, virtual design, compliance, cybersecurity, and digital cockpit experiences.Azure AI Studio, Azure AI Foundry, Microsoft 365 Copilot, and GitHub are central to digital transformation efforts. The implementation encompasses connected fleets, advanced ADAS/AD, software-in-the-loop testing, and virtual homologation, enabling safer, compliant, and sustainable vehicles.Reference architectures and industry frameworks are shared for faster value realization, offering guidance for engineers to leverage integrated AI and cloud for end-to-end automotive scenarios.
A roundup of real-world AI implementations across Germany highlights transformational projects in multiple sectors. IU International University of Applied Sciences developed the Syntea AI avatar, integrated with Teams and Microsoft 365 Copilot, reducing course completion time by 27% and preparing 130,000+ students for AI-powered workplaces. Thyssenkrupp Automation Engineering, together with Siemens, uses the Siemens Industrial Copilot built on Azure OpenAI to automate manufacturing and respond to labor shortages, improving real-time production and reducing downtime. Ottobock leverages Azure AI to create custom-fitted prosthetics from body images to accelerate production and improve device fit. Lufthansa Group explores generative AI, including a 3D avatar for passenger guidance and automation for claims processing. Otto Group, including Medgate, leverages GitHub Copilot and Azure OpenAI to power e-commerce and medical Copilot assistants, speeding documentation and translation for clinicians. These implementations are enabled by Microsoft's €3.3 billion investment to expand AI infrastructure, focusing on sustainable and secure data practices.
Microsoft, in partnership with Siemens and German industrial giants like BMW and HARTING, deployed generative AI and Microsoft Copilot to accelerate design and production processes within the manufacturing sector.The AI-powered industrial copilots assist with CAD design, controller and robot programming, and production simulation, facilitating rapid prototyping and onboarding for workers.Microsoft 365 Copilot and Azure OpenAI Service are integrated into German manufacturing workflows to automate document management, process automation, and provide contextual shopfloor data access using HoloLens.The solution addresses skilled labor shortages and boosts operational efficiency, reducing onboarding for unskilled workers from six months to two weeks and enabling agile reconfiguration of manufacturing systems.Industry-wide, the adoption of generative AI has led to improved productivity in engineering, production, and after-sales service for both large enterprises and SMEs across Germany.
Foxconn, a global electronics manufacturer, partnered with Siemens to execute a large-scale AI and digital twin transformation for its manufacturing facilities. To address low-margin pressures, energy consumption, quality control, and operational complexity, Foxconn integrated Siemens Xcelerator and Azure AI solutions to drive smart factory automation and quality improvements. The deployment involved AI-powered visual inspection, predictive maintenance, and digital twin-driven process simulation. Notably, Foxconn experienced substantial revenue growth in AI-related product lines and reduced energy consumption by over 30%. The collaboration reflects Foxconn's strategic pivot toward advanced AI servers, achieving higher accuracy, sustainability, and operational performance in manufacturing.