Workflow DAG belongs to MLOps and production ML practice. Teams use it to keep model development reproducible, deployable, observable, and aligned with reliability and compliance requirements.
AI Glossary
Workflow DAG
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Workflow DAG belongs to MLOps and production ML practice. Teams use it to keep model development reproducible, deployable, observable, and aligned with reliability and compliance requirements.
Definition
Plain English explanation
Workflow DAG shows up when operationalizing models beyond notebooks.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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