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Siemens has expanded its collaboration with Microsoft through the Siemens Xcelerator platform to help enterprise customers better integrate information technology (IT) with operational technology (OT). The integration of Siemens Industrial Edge with Microsoft Azure IoT Operations is aimed at enabling smoother data flow from production lines to the edge and cloud, supporting the use of AI and digital twins to enhance machine performance, product quality, and maintenance.
Microsoft Azure’s Adaptive Cloud Approach
As a core component of the Azure adaptive cloud approach, Azure IoT Operations is built to seamlessly connect on-premises industrial edge solutions, such as Siemens Industrial Edge, with the cloud, supporting a continuous flow of data for improved operations. The OT data plane from Siemens Industrial Edge is designed to integrate smoothly with Azure IoT Operations, creating an interoperable OT and IT data environment for manufacturing. This data layer supports mission-critical production applications, including virtualized control, low-latency closed-loop AI, executable digital twins, and production line-level analytics. These capabilities help manufacturers deploy responsive, reliable, flexible, and secure applications to enhance operations, reduce costs, and improve uptime and quality.
By integrating with Azure IoT Operations, industrial producers can unify their data using Microsoft Fabric and more easily leverage OT data in cloud-based, data-driven use cases to optimize production across sites and gain insights through advanced analytics. Microsoft Fabric is a unified data platform that streamlines data management and analytics, preparing it for AI applications.
Siemens Industrial Edge also offers a unified and scalable control plane for critical OT workloads, enabling customers to centrally deploy and manage production-level use cases at scale, while Azure provides a unified control plane for IT workloads across cloud and on-premise environments. By using both infrastructure solutions together, users can efficiently deploy and manage workloads in hybrid environments at scale, wherever needed, and focus on the outcomes: leveraging data and technologies such as AI and digital twins to streamline production and enhance adaptability.
To enhance product quality using AI and reduce manual rework and costs, producers can leverage the Siemens Industrial AI portfolio with Azure Machine Learning services to train AI and machine learning models in the cloud and run them at the edge with low latency. To improve overall equipment efficiency and value flows on the shop floor, data from Siemens Industrial Edge sent to Azure IoT Operations and Azure cloud services can be used to create digital twins. The collaboration also supports the use of live production data with generative AI capabilities to strengthen workforce skills and operations. The Siemens Industrial Copilot for Operations assists operators in troubleshooting and accessing machine information through natural language queries.
Learn more about Industrial IoT Edge Compute Software Platforms.