Microsoft is partnering with leading industrial connectivity partners Advantech, PTC, and Softing to unlock industrial data for AI and accelerate digital transformation for industrial customers leveraging Azure IoT Operations through Azure’s adaptive cloud approach.
We are committed to empowering customers to achieve more with their data and unlocking new insights and opportunities across the industrial ecosystem. This includes overcoming the challenges of proprietary interfaces and data models from an array of industrial assets on the factory floor. We believe that the key to addressing those challenges is enabling data to flow consistently and securely to the people and places where it’s needed to drive collaboration and better decision-making, leveraging open standards like OPC UA and MQTT. This is why we are working closely with our connectivity partners, who play a vital role in bridging the gap between legacy or proprietary assets and our standardized edge interfaces. They provide data translation and normalization to open, standardized data models across heterogeneous environments.
The adaptive cloud approach brings just enough Azure and its capabilities to any environment, from the factory floor to both 1st party and 3rd party cloud infrastructure, using Kubernetes and other open technologies. We enable interoperability and integration across diverse edge devices and applications, providing a single control and management plane using Azure IoT Operations (Preview), enabled by Azure Arc. We aim to unify siloed teams, distributed sites, and sprawling systems and to provide our customers with an open, interoperable, and secure Industrial IoT platform that can scale to meet their current and future needs quickly.
We are leveraging leading solutions from our connectivity partners Advantech, PTC, and Softing to achieve the necessary frictionless data flow that our customers need. Each connectivity partner is integrated with Azure IoT Operations to enable data interoperability and management across the industrial edge and cloud.