Merge pull request #289381 from dominicbetts/release-aio-m3-overview-updates

AIO [M3]: Add uses case examples to overview

Author: prmerger-automator[bot]

articles/iot-operations/overview-iot-operations.md

@@ -26,6 +26,31 @@ Azure IoT Operations:
 * Supports GitOps configuration as code for deployment and updates.
 * Natively integrates with [Azure Event Hubs](../event-hubs/azure-event-hubs-kafka-overview.md), [Azure Event Grid's MQTT broker](../event-grid/mqtt-overview.md), and [Microsoft Fabric](/fabric/) in the cloud.
 
+Use Azure IoT Operations Preview to:
+
+* Improve business efficiency and decision making by using AI in the cloud to analyze asset and equipment data from the edge. Azure IoT Operations Preview can process and normalize the data at the edge before it's sent to the cloud.
+* Transform manufacturing environments by removing barriers between OT and IT systems. Azure IoT Operations Preview supports open standards such as MQTT and OPC UA, and frameworks such as Kubernetes, that enable it to foster interoperability and run processes such as predictive maintenance, energy optimization, and digital inspection.
+* Modernize on-premises and edge infrastructure to handle digital operations. Azure IoT Operations Preview offers a suite of services that enable you to connect, manage, and receive data from your assets.
+* Secure your end-to-end operations by using Azure security capabilities. Azure IoT Operations Preview has built-in security capabilities such as secrets management, certificate management, and secure settings.
+
+## Example use cases
+
+Use Azure IoT Operations Preview to address use cases such as:
+
+### Anomaly detection
+
+To identify anomalies in the data generated by an industrial asset, an operator can use the operations experience web UI to:
+
+* Connect an OPC UA asset to the Azure IoT Operations Preview MQTT broker at the edge.
+* Define a dataflow that processes and normalizes the data before identifying any anomalies.
+* Send the processed data to Microsoft Fabric in the cloud.
+
+You can then use Microsoft Fabric to build real-time dashboards with visualizations that show the status of the asset and alerts for any detected anomalies. You can make these dashboards available on the shop floor where operators can use them to take immediate action and mitigate potential issues. By using predictive analytics and data on the edge, you can anticipate failures before they occur, and reduce downtime and maintenance costs.
+
+### Operational equipment effectiveness
+
+With Azure IoT Operations Preview, you can use data collected from assets and equipment to improve your operational equipment effectiveness. Azure IoT Operations captures real-time data at the edge and processes it enabling you to monitor key performance indicators such as availability, performance, and quality. Use Azure IoT Operations to normalize and analyze the data to identify patterns and areas for improvement.
+
 ## Architecture overview
 
 :::image type="content" source="media/overview-iot-operations/azure-iot-operations-architecture.svg" alt-text="Diagram that shows the high-level architecture of Azure IoT Operations." lightbox="media/overview-iot-operations/azure-iot-operations-architecture-high-resolution.png" border="false":::