Concept#ML#DevOps
Machine Learning Operations (MLOps)
Machine Learning Operations (MLOps) is a practice that unifies ML model development, deployment and maintenance across teams. It combines data engineering, CI/CD, monitoring and governance to productionize models reliably. MLOps defines roles, pipelines and automation to ensure reproducibility, scalability and continuous improvement in ML systems.
This block bundles baseline information, context, and relations as a neutral reference in the model.
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What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context
Organizational leveli
Enterprise
Organizational maturityi
Intermediate
Impact areai
Organizational
Decision
Decision typei
Organizational
Value stream stagei
Iterate
Assessment
Complexityi
High
Maturityi
Emerging
Cognitive loadi
High
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.
Dependency · Depends on
(1)