IoT Control Tower: Data Contextualization
An IoT data knowledge graph connects disjointed manufacturing data from machines, sensors, warehouse management systems, enterprise resource planning systems, and more into one contextual view. This Data Contextualization capability extends the existing Agentic AI IoT Control Tower solution by automatically building manufacturing data knowledge graphs and 3D models that link engineering models, telemetry, and documents; data that typically remains fragmented across sources and formats.
IoT data contextualization creates a unified, structured representation of physical and digital data, handling massive amounts of information coming from facilities and IoT data sources. The outcomes are faster root cause analysis, less effort integrating new data sources, and quicker mean time to resolution across manufacturing operations. This approach to managing IoT data cuts the operational expenses required to create semantic context around data, making it easier and faster to understand and act on manufacturing issues.
Watch the demo to see manufacturing data contextualization in action with 3D factory models, robotic arms, wind turbines, and time-series telemetry data.
