Siemens & Databricks: Operationalizing Industrial AI from edge to cloud

Industrial AI often stalls due to fragmented data, disconnected systems, and lack of scalable infrastructure to manage data integration and local AI execution. In this session, Siemens and Databricks show how an edge-to-cloud architecture enables an AI-ready data foundation by streaming contextualized shopfloor data to the cloud in near-real time, training models centrally, and deploying them back to the edge—unlocking scalable, production-grade AI across global operations.