Workflow Orchestration in AI Systems

Workflow orchestration manages the sequence and dependencies among multiple AI components or agents. It ensures tasks are executed in the correct order, handles data flow, and manages error handling and retries.

Common orchestration tools, like Apache Airflow or Prefect, enable defining workflows as directed acyclic graphs (DAGs).

For example, in a data pipeline, data extraction, transformation, and model training are orchestrated to run sequentially or concurrently, ensuring data integrity and efficiency. Proper orchestration enhances scalability and maintainability of AI solutions.