ML pipeline orchestration: managing data, training, evaluation, and deployment workflows

This content discusses ML pipeline orchestration, covering the management of data, training, evaluation, and deployment workflows. It highlights the importance of data engineering and effectively integrating artificial intelligence into software engineering, emphasizing clear requirements before implementation.