This track features an engaging 75-minute session on Data Labeling in Azure Machine Learning, covering both image and text data. It explores how to use the data labeling tool in Azure Machine Learning to label data for a range of ML tasks, and covers integration of the tool with MLflow, AutoML, and pipelines. Data labeling can be a tedious, time-consuming, and error-prone task, especially for large and complex datasets; this session will show you how to create, manage, and monitor data labeling projects with ease and efficiency, by using the Azure ML data labeling tool.