Apache Airflow is an open-source workflow orchestration tool that simplifies the management of complex machine learning (ML) pipelines. It allows data scientists and engineers to automate the entire ML workflow, from data collection and preprocessing to model training and deployment. By utilizing directed acyclic graphs (DAGs), Airflow enables users to define and schedule tasks in a clear and organized manner. This not only enhances the efficiency of ML processes but also ensures scalability and reliability in production environments. With its extensive features and user-friendly interface, Apache Airflow has become a popular choice for orchestrating ML pipelines in the industry.