Microsoft Industrial AI Partner Guide: Choosing the Right Data Expertise for Every Stage
As organizations scale Industrial AI, the challenge shifts from technology selection to deciding who should lead which part of the journey -- and when. Which partners should establish secure connectivity? Who enables production grade, AI ready industrial data? When do systems integrators step in to scale globally? This Partner Guide helps customers navigate these decisions with clarity and confidence: Identify which partners align to their current digital transformation and Industrial AI scenarios leveraging Azure IoT and Azure IoT Operations Confidently combine partners over time as they evolve from connectivity to intelligence to autonomous operations This guide focuses on the Industrial AI data plane – the partners and capabilities that extract, contextualize, and operationalize industrial data so it can reliably power AI at scale. It does not attempt to catalog or prescribe end‑to‑end Industrial AI applications or cloud‑hosted AI solutions. Instead, it helps customers understand how industrial partners create the trusted, contextualized data foundation upon which AI solutions can be built. Common Customer Journey Steps 1. Modernize Connectivity & Edge Foundations The industrial transformation journey starts with securely accessing operational data without touching deterministic control loops. Customers connect automation systems to a scalable, standards-based data foundation that modernizes operations while preserving safety, uptime and control. Outcomes customers realize Standardized OT data access across plants and sites Faster onboarding of legacy and new assets Clear OT–IT boundaries that protect safety and uptime Partner strengths at this stage Industrial hardware and edge infrastructure providers Protocol translation and OT connectivity Automation and edge platforms aligned with Azure IoT Operations 2. Accelerate Insights with Industrial AI With a consistent edge-to-cloud data plane in place, customers move beyond dashboards to repeatable, production-grade Industrial AI use cases. Customers rely on expert partners to turn standardized operational data into AI‑ready signals that can be consumed by analytics and AI solutions at scale across assets, lines, and sites. Outcomes customers realize Improved Operational efficiency and performance Adaptive facilities and production quality intelligence Energy, safety, and defect detection at scale Partner strengths at this stage Industrial data services that contextualize and standardize OT signals for AI consumption Domain-specific acceleration for common Industrial AI scenarios Data pipelines integrated with Azure IoT Operations and Microsoft Fabric 3. Prepare for Autonomous Operations As organizations advance toward closed‑loop optimization, the focus shifts to safe, scalable autonomy. Customers depend on partners to align data, infrastructure, and operational interfaces, while ensuring ongoing monitoring, governance, and lifecycle management across the full operational estate. Outcomes customers realize Proven reference architectures deployed across plants AI‑ready data foundations that adapt as operations scale Coordinated interaction between OT systems, AI models, and cloud intelligence Partner strengths at this stage Industrial automation leadership and control system expertise Edge infrastructure optimized and ready for Industrial AI scale Systems integrators enabling end‑to‑end implementation and repeatability Data Intelligence Plane of Industrial AI - Partner Matrix This matrix highlights which partners have the deepest expertise in accessing, contextualizing, and operationalizing industrial data so it can reliably power AI at scale. The matrix is not a catalog of end‑to‑end Industrial AI applications; it shows how specialized partners contribute data, infrastructure, and integration capabilities on a shared Azure foundation as organizations progress from connectivity to insight to autonomous operations. How to use this matrix: Start with your scenario → identify primary partner types → layer complementary partners as you scale. Partner Type Adaptive Cloud Primary Solution Example Scenarios Geography Advantech Industrial Hardware, Industrial Connectivity LoRaWAN gateway integration + Azure IoT Operations Industrial edge platforms with built in connectivity, industrial compute, LoRaWAN, sensor networks Global Accenture GSI Industrial AI, Digital Transformation, Modernization OEE, predictive maintenance, real-time defect detection, optimize supply chains, intelligent automation and robotics, energy efficiency Global Avanade GSI Factory Agents and Analytics based on Manufacturing Data Solutions Yield / Quality optimization, OEE, Agentic Root Cause Analysis and process optimization; Unified ISA-95 Manufacturing Data estate on MS Fabric Global Capgemini GSI The new AI imperative in manufacturing OEE, maintenance, defect detection, energy, robotics Global DXC GSI Intelligent Boost AI and IoT Analytics Platform 5G Industrial Connectivity, Defect detection, OEE, safety, energy monitoring Global Innominds SI Intelligent Connected Edge Platform Predictive maintenance, AI on edge, asset tracking North America, EMEA Litmus Automation Industrial Connectivity, Industrial Data Ops Litmus Edge + Azure IoT Operations Edge Data, Smart manufacturing, IIoT deployments at scale Global, North America Mesh Systems GSI & ISV Azure IoT & Azure IoT Operations implementation services and solutions (including Azure IoT Operations-aligned connector patterns) Device connectivity and management, data platforms, visualization, AI agents, and security North America, EMEA Nortal GSI Data-driven Industry Solutions IT/OT Connectivity, Unified Namespace, Digital Twins, Optimization, Edge, Industrial Data, Real‑Time Analytics & AI EMEA, North America & LATAM NVIDIA Technology Partner Accelerated AI Infrastructure; Open libraries, models, frameworks, and blueprints for AI development and deployment. Cross industry digitalization and AI development and deployment: Generative AI, Agentic AI, Physical AI, Robotics Global Oracle ISV Oracle Fusion Cloud SCM + Azure IoT Operations Real-time manufacturing Intelligence, AI powered insights, and automated production workflows Global Rockwell Automation Industrial Automation FactoryTalk Optix + Azure IoT Operations Factory modernization, visualization, edge orchestration, DataOps with connectivity context at scale, AI ops and services, physical equipment, MES Global Schneider Electric Industrial Automation Industrial Edge Physical equipment, Device modernization, energy, grid Global Siemens Industrial Automation & Software Industrial Edge + Azure IoT Operations reference architecture Industrial edge infrastructure at scale, OT/IT convergence, DataOps, Industrial AI suite, virtualized automation. Global Sight Machine ISV Integrated Industrial AI Stack Industrial AI, bottling, process optimization Global Softing Industrial Industrial Connectivity edgeConnector + Azure IoT Operations OT connectivity, multi-vendor PLC- and machine data integration, OPC UA information model deployment EMEA, Global TCS GSI Sensor to cloud intelligence Operations optimization, healthcare digital twin experiences, supply chain monitoring Global This Ecosystem Model enables Industrial AI solutions to scale through clear roles, respected boundaries and composable systems: Control systems continue to be driven by automation leaders Safety‑critical, deterministic control stays with industrial automation partners who manage real‑time operations and plant safety. Customers modernize analytics and AI while preserving uptime, reliability, and operational integrity. Data, AI, and analytics scale independently A consistent edge to cloud data plane supports cloud scale analytics and AI, accelerating insight delivery without entangling control systems or slowing operational change. This separation allows customers and software providers to build AI solutions on top of a stable, industrial‑grade data foundation without redefining control system responsibilities. Specialized partners align solutions across the estate Partners contribute focused expertise across connectivity, analytics, security, and operations, assembling solutions that reduce integration risk, shorten deployment cycles, and speed time to value across the operational estate. From vision to production Industrial AI at scale depends on turning operational data into trusted, contextualized intelligence safely, repeatably, and across the enterprise. This guide shows how industrial partners, aligned on a shared Azure foundation, create the data plane that enables AI solutions to succeed in production. When data is ready, intelligence scales. Call to action: Use this guide to identify the partners and capabilities that best align to your current Industrial AI needs and take the next step toward production‑ready outcomes on Azure.Azure IoT Operations 2510 Now Generally Available
Introduction We’re thrilled to announce the general availability of Azure IoT Operations 2510, the latest evolution of the adaptive cloud approach for AI in industrial and large scale commercial IoT. With this release, organizations can unlock new levels of scalability, security, and interoperability, empowering teams to seamlessly connect, manage, and analyze data from edge to cloud. What is Azure IoT Operations? Azure IoT Operations is more than an edge-to-cloud data plane, it’s the foundation for AI in physical environments, enabling intelligent systems to perceive, reason, and act in the real world. Built on Arc-enabled Kubernetes clusters, Azure IoT Operations unifies operational and business data across distributed environments, eliminating silos and delivering repeatability and scalability. By extending familiar Azure management concepts to physical sites, AIO creates an AI-ready infrastructure that supports autonomous, adaptive operations at scale. This approach bridges information technology (IT), operational technology (OT), and data domains, empowering customers to discover, collect, process, and send data using open standards while laying the groundwork for self-optimizing environments where AI agents and human supervisors collaborate seamlessly. We've put together a quick demo video showcasing the key features of this 2510 release. Watch below to discover how Azure IoT Operations' modular and scalable data services empowers IT, OT and developers. What’s New in Azure IoT Operations 2510? Management actions: Powerful management actions put you in control of processes and asset configurations, making operations simpler and smarter. Web Assembly (Wasm) data graphs: Wasm-powered data graphs for advanced edge processing, delivering fast, modular analytics and business logic right where your data lives. New connectors: Expanded connector options now include OPC UA, ONVIF, Media, REST/HTTP, and Server-Sent Events (SSE), opening the door to richer integrations across diverse industrial and IT systems. OpenTelemetry (OTel) endpoints: Data flows now support sending data directly to OpenTelemetry collectors, integrating device and system telemetry into your existing observability infrastructure. Improved observability: Real-time health status for assets gives you unmatched visibility and confidence in your IoT ecosystem. Reusable Connector templates: Streamline connector configuration and deployment across clusters. Device support in Azure Device Registry: Azure Device Registry (ADR) now treats devices as first‑class resources within ADR namespaces, enabling logical isolation and role‑based access control at scale. Automatic device and asset discovery and onboarding: Akri‑powered discovery continuously detects devices and industrial assets on the network, then automatically provisions and onboards them (including creating the right connector instances) so telemetry starts flowing with minimal manual setup. MQTT Data Persistence: Data can now be persisted to disk, ensuring durability across broker restarts. X.509 Auth in MQTT broker: The broker now supports X.509 authentication backed by Azure's Device Registry. Flexible RBAC: Built-in roles and custom role definitions to simplify and secure access management for AIO resources. Customers and partners Chevron, through its Facilities and Operations of the Future initiative, deployed Azure IoT Operations with Azure Arc to manage edge-to-cloud workloads across remote oil and gas sites. With a single management plane, the strategy unifies control over thousands of distributed sensors, cameras, robots, and drones. Real-time monitoring and AI enabled anomaly detection not only to enhance operational efficiency but also significantly improve worker safety by reducing routine inspections and enabling remote issue mitigation. This reuse of a global, AI-ready architecture positions Chevron to deliver more reliable, cleaner energy. [microsoft.com] Husqvarna implemented Azure IoT Operations across its global manufacturing network as part of a comprehensive strategy. This adaptive cloud approach integrates cloud, on-premises, and edge systems, preserves legacy investments, and enables real-time edge analytics. The result: data operationalization is 98% faster, imaging costs were slashed by half, productivity was improved, and downtime was reduced. Additionally, AI-driven capabilities like the Factory Companion powered by Azure AI empower technicians with instant, data-informed troubleshooting, shifting maintenance from reactive to predictive across sites. [microsoft.com] Together, these success stories show how Azure IoT Operations, combined with capabilities like Azure Arc, can empower industrial leaders to advance from siloed operations to unified, intelligent systems that boost efficiency, safety, and innovation. Additionally, this year we are celebrating how our partners are integrating, co-innovating, and scaling real customer outcomes. You can learn more about our partner successes at https://aka.ms/Ignite25/DigitalOperationsBlog. Learn more at our launch event Join us at Microsoft Ignite to dive deeper into the latest innovations in Azure IoT Operations 2510. Our sessions will showcase real-world demos plus expert insights on how new capabilities accelerate industrial transformation. Don’t miss the chance to connect with product engineers, explore solution blueprints, and see how Azure IoT Operations lays the foundation for building and scaling physical AI. Get Started Ready to experience the new capabilities in Azure IoT Operations 2510? Explore the latest documentation and quickstart guides at https://aka.ms/AzureIoTOperations Connect with the Azure IoT Tech Community to share feedback and learn from peers.Introducing Microsoft Planetary Computer Pro — Now in Public Preview
Today, we’re excited to announce the public preview of Microsoft Planetary Computer Pro — a turnkey platform that makes it dramatically easier for organizations to harness geospatial data for real-world impact. Planetary Computer Pro is built on the trusted foundation of Microsoft Planetary Computer, which offers access to over 120 distinct geospatial datasets totaling over 50PB in volume. Planetary Computer Pro is a new Azure-native service purpose-built to help organizations manage, transform, and operationalize geospatial data at enterprise scale. Geospatial data and insights are critical for solving high-impact problems across industries, from climate risk assessment and regulatory compliance to supply chain optimization and precision agriculture. Yet, traditional geospatial tooling is complex and fragmented, limiting access to a small group of geospatial specialists. Planetary Computer Pro bridges that gap — making geospatial data cloud-native, AI-ready, and accessible to data scientists, developers, and business analysts alike. We built Microsoft Planetary Computer Pro to make geospatial data a first-class citizen in modern data stacks — standardized, scalable, and seamlessly integrated with the tools enterprises already use. Geospatial Data Management, Reimagined Planetary Computer Pro is a fully managed geospatial data platform designed to ingest, catalog, store, process, and disseminate large volumes of private geospatial data in Azure. Planetary Computer Pro makes it possible to: Empower your entire organization with secure, governed access to geospatial data Accelerate time-to-insights with built-in ingestion, transformation, and visualization pipelines Standardize and optimize your datasets for cloud-native analytics, machine learning and AI modeling Unify geospatial and enterprise systems under shared security, identity, and governance Key Capabilities in Public Preview You can deploy, manage, and monitor Planetary Computer Pro resources through Azure Portal, CLI, or SDKs, just like any other Azure-native resource provider. Capability Description Cloud Optimization Auto-convert raw geospatial assets into cloud-optimized formats with built-in ingestion pipeline for AI/ML and big data analytics Data Interoperability Organize multiple datasets into SpatioTemporal Asset Catalog (STAC) open specification, allowing for robust spatial/temporal queryability and interoperability Managed Storage & APIs Fully managed storage and interact with data using intuitive REST APIs (API Reference Guide) Rich Visualization Explore and analyze large datasets in a web-based Data Explorer, including tiling and mosaic rendering for raster data and data cube formats (Supported Data Types) Scalability & Security Built on zone-redundant storage, governed by Microsoft Entra ID and Azure RBAC Use Cases Across Industries Microsoft Planetary Computer Pro supports a broad spectrum of scenarios across sectors such as: Energy & Utilities: Power grid optimization, site monitoring, methane detection Agriculture: Precision farming, pest & disease prediction Supply Chain: Risk-aware routing, climate-resilient sourcing Finance & Insurance: Underwriting, claims validation, exposure modeling Government: Emergency response, environmental monitoring, land use compliance Defense & Intelligence: ISR, threat detection, terrain analysis Sustainability Teams: Deforestation mapping, EUDR compliance, biodiversity tracking Get Started with Public Preview The public preview of Microsoft Planetary Computer Pro is available now in select Azure regions including East US, North Central US, and West Europe. To get started: Visit Microsoft Planetary Computer Pro Review our documentation Microsoft Planetary Computer Pro | Microsoft Learn Contact us at MPCPro@microsoft.com What’s Next? We’re actively working on: Platform Integration: Expanded integration with Microsoft Fabric Direct access to Microsoft Planetary Computer Commercial satellite imagery access via Azure Marketplace AI and Automation: Automated raster data workflow environment Copilot and agent-assisted insights generation Platform Enhancement: Additional geospatial data type support New region availability and government cloud supportScaling industrial transformation with a robust partner ecosystem
In recent years, manufacturers have been on a journey to incorporate intelligent technologies like AI into their business processes. These exciting advancements are happening within an extended ecosystem, encompassing everything from planning and manufacturing to distribution and servicing of goods. A defining aspect of many such business processes is their continuous generation of data, which, when effectively contextualized and analyzed, can unlock critical business outcomes, including minimizing downtime, reducing waste, enhancing quality, improving sustainability, and boosting worker productivity. In addition to analytics, a comprehensive data governance strategy is fundamental as it supports the ability to embrace ecosystem-driven collaboration, a key component to unlock the full potential of AI-driven manufacturing. Challenges in meeting the promise of IT and OT integration With AI only as good as the data behind it, the ability to harness data across an ecosystem is paramount. However, the inherent complexities within industrial environments create digital transformation barriers. Each factory has its own unique mix of automation equipment and software configurations based on site-specific production processes. Management and data handling are also system and site specific. When organizations try to scale transformation efforts across different sites, these complexities multiply, with individual IT management systems adding permutations. Due to the variety of source and configuration combinations, pulling the right data, semantics, and contextualization into an external analysis platform becomes incredibly difficult and cost prohibitive. As a result, the ability to scale an outcome through the use of a digital feedback loop is completely out of reach. How an adaptive cloud approach supports operational transformation To overcome these challenges, organizations can benefit from a consistent approach to industrial data value realization that is repeatable across sites. Azure’s adaptive cloud approach enables organizations to secure, manage, and scale industrial operations by unifying data, applications, and infrastructure across edge and cloud environments. By leveraging the adaptive cloud approach, businesses can create a unified data foundation, breaking down operational silos to drive AI-driven insights and improved collaboration between IT and OT teams. Azure IoT Operations, enabled by Arc empowers customers to easily move machine and process data between the edge and cloud in a highly unified and repeatable way. Under the hood, Azure IoT Operations is a full-stack data plane that runs in on-premises Arc-enabled Kubernetes clusters. It enables customers to discover Assets via Akri and collect data. Then, customers can process and send data from the edge to the cloud using open standards and open protocols that are managed and supported by Microsoft. This solution helps enable unified data flow from facilities to natively integrated cloud destinations, including Microsoft Fabric, Azure Event Hubs, and Azure Event Grid's MQTT broker which provides real-time insights and AI-driven decision-making. Azure IoT Operations leverages Azure Arc to extend the cloud management pattern down to the physical site, using the same cloud deployment and management controls as Azure to enable unique advantages in repeatability and scalability across the enterprise. While Azure's adaptive cloud approach can provide a foundation to simplify everything from data collection to scaling AI initiatives, Microsoft is a platform company, and our partners are essential to success in the complex industrial market. Why a partner ecosystem is critical for enabling customer success Achieving business outcomes from industrial data requires navigating the complexity of interconnected technology landscapes, where diverse technologies and systems must cohesively integrate. The siloed IT, OT, and ET data that results from these diverse systems can slow AI adoption, limiting manufacturers’ ability to extract real-time insights. A collaborative vendor network can help address these challenges by enabling streamlined data exchange, enhanced automation, and increased operational intelligence. The transformation enabled by this network demands a collective approach, bringing together industrial automation partners offering industry-specific AI and analytics solutions, system integrators collaboratively engineering IT-OT solutions, OEMs modernizing production lines, and ISVs to develop industry-specific solutions that drive efficiency and scalability. A multi-cloud, open, and interoperable approach can allow businesses to connect engineering, production, and supply chain workflows into AI-driven digital infrastructure from cloud to edge. Manufacturers operate in complex multi-vendor environments that demand flexibility and interoperability. Choosing to adopt an open and collaborative partner network approach offers the opportunity to extend the life of investments and adopt AI and automation gradually. In addition, unlike closed models that often lead to vendor lock in, open ecosystems enhance security and governance through consistent policy enforcement, interoperability, and real-time visibility across multi-cloud, edge, and on-prem environments. For instance, a solution like Azure Arc offers centralized security controls, automated compliance and third-party tool integration. Industrial enterprises desire a unified, scalable AI-cloud-edge strategy to optimize engineering, production, and supply chain workflows. To make outcomes from Industrial AI initiatives a reality, organizations — including traditional competitors —should consider embracing partnerships, open standards and an adaptive cloud approach to enable easier connectivity and interoperability. Microsoft’s open, scalable, and multi-cloud ecosystem helps enable more efficient integration of Azure solutions with third-party platforms (public and private clouds) and open industry standards that enable data interoperability across IoT, AI, and automation solutions. Learn more about how Microsoft, along with partners, is reimagining how intelligent digital threads and AI agents will transform the manufacturing industry here. Join Us - Industrial AI in Action at Hannover Messe 2025 Join us at the Microsoft booth in Digital Ecosystems Hall 17 to explore the latest innovations in our partner ecosystem supporting the transformation of industrial operations. Experience live demonstrations showcasing how AI-driven manufacturing, real-time data insights, and an adaptive cloud approach drive efficiency, flexibility, and innovation. See firsthand how Microsoft and its partners mentioned below are enabling intelligent automation, predictive quality control, and improved IT/OT integration to accelerate digital transformation. Avanade Avanade excels in IT/OT integration and advanced manufacturing solutions, with specialized expertise in integrating PLM, ERP, and MES systems for digital continuity across design, manufacturing, supply chain, and service processes. Avanade offers dynamic sourcing for flexible procurement and supplier collaboration, process flexibility for diverse product variants, and human-machine collaboration to meet new product requirements. At HMI 2025, Avanade and Microsoft will showcase advanced closed-loop manufacturing demos using AI machine vision for quality control, integrated with Azure IoT Operations—which leverages MQTT and OPC UA protocols to streamline data transport and connectivity. Visit the Microsoft booth to explore how seamless system integration, dynamic sourcing, and human-machine collaboration can help produce superior products faster with less waste. Learn more about Avanade at HMI 2025. Capgemini Microsoft and Capgemini are driving the next era of smart manufacturing by embracing the adaptive cloud approach to accelerate digital transformation. Through Capgemini’s Intelligent Industry offerings worker performance and operational efficiencies can be improved through AI-driven processes—empowering manufacturers to move beyond manual workflows and unlock new levels of productivity. Capgemini integrates across edge to cloud environments using services like Azure IoT Operations, Azure AI, and Microsoft Fabric to optimize quality, and overall equipment effectiveness (OEE) for manufacturers. Join us at Capgemini’s Theatre Talk at HMI on Thursday, April 3 at 10:00am, where industry leaders will share how AI, when paired with edge to cloud technologies, can unlock the full potential of smart factories. Be part of the conversation—see what’s next in digital manufacturing! Celebal Technologies The Operational Technology (OT) Data Liberator by Celebal Technologies extracts, processes, and integrates OT data into a centralized Lakehouse, ensuring metadata synchronization, real-time streaming, historical data retrieval, and a resilient data pipeline—all while maintaining full data governance and simplified infrastructure management within the customer’s network. Deployed as a Kubernetes workload at the edge, the Liberator streams MQTT data directly into Azure IoT Operations and can be configured to leverage Akri-enabled connectors for protocol translation, eliminating traditional data silos and accelerating digital transformation. Powered by Azure IoT Operations, the OT Data Liberator delivers secure, scalable connectivity across legacy and modern OT systems, enabling data transformation and management. From manufacturing and energy to utilities and resources, this collaboration empowers industries to optimize operations, enhance security, and scale digital transformation with confidence. Learn more here. Litmus Litmus, a leader in Industrial Data Operations, has partnered with Microsoft to accelerate industrial transformation by integrating Litmus Edge with Azure IoT Operations. This collaboration enables seamless connectivity through the Akri Litmus connector, supporting data processing and management of factory edge devices while bridging legacy OT systems with Microsoft’s edge to cloud technologies, including Azure Arc and Microsoft Fabric. The joint solution delivers zero-code protocol integration, centralized device orchestration, and real-time insights, simplifying edge-to-cloud data operations. Key outcomes include faster AI deployment, reduced downtime, improved product quality, and enhanced operational agility across industrial environments. Together, Litmus and Microsoft offer a unified scalable platform that empowers manufacturers to modernize operations and easily replicate lines and sites to unlock the full potential of their industrial data. Visit the Microsoft booth to see a live demo of this powerful edge-to-cloud solution in action and learn more here. Loopr.ai Loopr delivers real-time, AI-driven visual inspection for complex assemblies, performing over 400,000 inspections annually to enhance quality consistency, workforce efficiency, and cost reduction. With Azure IoT Operations, Loopr efficiently integrates with on-premise factory systems, enterprise ERP, and cloud analytics like Microsoft Fabric, enabling manufacturers to deploy AI-driven quality control within their existing Azure infrastructure. Loopr powered by Azure IoT Operations enables customers to overcome scaling challenges, optimize workflows and streamline edge-to-cloud data transport, enabling real-time analytics and enterprise-wide deployment. For example, a North American automotive manufacturer recently integrated Loopr's AI-powered visual inspection system to automate their final quality checks. This implementation led to improved precision on the production line and a reduction in defect rates. MTEK MTEK Industry AB is transforming digitalization of discrete manufacturing with its Digital Production System and advanced integration platforms. Through collaboration with Microsoft, MTEK has successfully deployed MBrain and the Manufacturing Integration Platform (Mint) in production facilities. Utilizing the full Microsoft stack, including Azure IoT Operations, Dynamics 365, Microsoft Fabric and Teams (to name a few), MTEK achieves IT/OT/human convergence, optimizing operations while reducing environmental impact. MBrain integrates into Azure IoT Operations supporting MQTT and OPC UA, enabling immediate data monitoring and management. Together, Microsoft and MTEK deliver easily integrated data exchange between edge devices and the cloud by supporting real-time analytics and decision-making. Join us at Hannover Messe 2025 to discover how MBrain's real-time data analytics and IT/OT/human convergence empower manufacturers to achieve total value capture. Schneider Electric Schneider Electric enables digital transformation by integrating world-leading automation and energy technologies, endpoint to cloud connecting products, controls, software and services, across the entire lifecycle, enabling integrated company management, for homes, buildings, data centers, infrastructure, and industries. Schneider Electric is partnering with Microsoft to transform manufacturing into an AI-powered, open, software-defined industry. Microsoft's AI, Edge & Cloud patterns are combined with Schneider Electric's advanced, secure, and user-friendly industrial automation edge solution. Join us at HMI 2025 to experience this direct-to-cloud, secure interface that empowers innovative, data-driven approaches to modernize processes and products using AI agents and digital twin solutions with real-time simulation. Siemens Siemens develops technologies that power progress across industrial automation, infrastructure, transportation, and healthcare, with a strong emphasis on digital solutions and sustainability globally. The collaboration with Siemens leverages Siemens Industrial Edge and Microsoft Azure IoT Operations to create integrated, data-driven production environments that address customer pain points. This partnership helps ensure data flow from the shop floor to the cloud, empowering manufacturers to harness advanced technologies like AI and digital twins to streamline their production processes. Learn more about how Siemens and Microsoft are partnering to accelerate IT and OT integration at HMI 2025. Sight Machine Sight Machine’s industrial AI data platform, now deployable at the edge with Azure IoT Operations, unifies real-time production data, enhancing data accessibility and productivity. At the Microsoft booth come and discover how Sight Machine and Microsoft are revolutionizing beverage bottling operations by reducing downtime and increasing availability through real-time plant data, AI-driven insights, and collaboration tools, all powered by Microsoft’s secure, scalable cloud infrastructure. Microsoft fosters collaborative innovation, empowering partners to drive industrial transformation. At Hannover Messe 2025, Sight Machine will also demonstrate its integration with NVIDIA Omniverse, offering real-time 3D visualization, rapid troubleshooting, and root cause analysis. Co-developed by Microsoft, NVIDIA, and Sight Machine, this solution enhances manufacturing performance. Visit the NVIDIA booth to learn more. Symphony AI SymphonyAI revolutionizes the Intelligent Factory with Predictive, Generative and Agentic AI solutions for industrial verticals across manufacturing, consumer goods and energy. Their software drives end-to-end digital transformation from edge to cloud, integrating data sources, contextualizing information, and powering AI-driven applications. At HMI, discover how SymphonyAI’s IRIS Foundry Industrial DataOps platform is extending capabilities to the edge to help manufacturers leverage factory data to expedite AI drive value in maintenance, quality, process optimization, closed-loop operations, and overall plant performance. The new edge capabilities easily and securely connect to factory systems, store and transform data, automate workflows and leverage Azure IoT Operations Dataflows and MQTT Broker to smoothly transport data to IRIS Foundry, unlocking actionable AI for factory operations. Don't miss this opportunity to see how we can transform your operations—join us at HMI for the demo. Learn more AI and the adaptive cloud approach are transforming how industries design, build and operate, driving the next wave of efficiency, agility, and innovation. To fully harness this potential, organizations should embrace a collaborative ecosystem that fosters AI-driven insights, simplified data integration, and secure digital transformation. The future of manufacturing is intelligent, interconnected, and AI-powered—and success depends on a strong partner network, a flexible cloud strategy, and a commitment to open, multi-cloud innovation. By working together, we can accelerate industrial transformation, overcome complex challenges, and unlock the full power of smart manufacturing. Learn more about the adaptive cloud approach and explore comprehensive cloud-to-edge scenarios designed for specific industry needs with Arc Jumpstart Agora.Bring all your workloads to the edge with AKS Edge Essentials. Now Generally Available!
Announcing the General Availability (GA) of Azure Kubernetes Service (AKS) Edge Essentials! AKS Edge Essentials has been developed as a managed Kubernetes for the operational edge on small-footprint devices to orchestrated workloads and drive business optimization.
