You are designing an automated Machine Learning (ML) pipeline for a financial services company that processes large volumes of transactional data daily. The pipeline must efficiently handle data ingestion, preprocessing, model training, evaluation, and deployment, with a strong emphasis on reliability and scalability. Given the complexity of the pipeline, which phase is primarily responsible for the scheduling and triggering of pipeline executions to ensure seamless operation across all stages? Choose the best option.