Oracle Machine Learning (OML) provides powerful in-database machine learning algorithms that enable data scientists, citizen data scientists, and other data professionals to discover insights, make predictions and leverage their Oracle data and investment - addressing critical data-driven business needs. The Oracle Data Miner user interface, an extension to Oracle SQL Developer, supports the creation of analytical workflows, serving as a productivity tool for data scientists and enabling citizen data scientists with a no-code ML environment that automates many common ML steps, such as data preparation, model building, and model evaluation. Oracle Data Miner provides this functionality through an easy to use drag-and-drop interface, where users connect nodes from a pallet of tools on a canvas to construct analytical workflows. When ready, users can generate SQL code to enable workflow deployment, or schedule workflows to run automatically. Oracle Data Miner supports select algorithms for on-premises and DBCS Oracle Database instances.