Explore how Databricks' MLOps capabilities and Crosser's edge analytics and orchestration combine to solve real-world manufacturing quality challenges using event-driven machine vision in this 42-minute expert session. Learn to seamlessly train and deploy YOLO-based models to resource-constrained edge devices with ONNX, build intelligent data pipelines that support automated retraining, and govern and monitor the full MLOps lifecycle with Databricks' Mosaic AI and Unity Catalog. Gain insights from David Rogers, Senior Solutions Architect at Databricks, and Göran Appelquist, CTO at Crosser, as they demonstrate practical applications of industrial AI machine vision technology for manufacturing environments.