Method#Artificial Intelligence#Machine Learning
AI Unified Process (AIUP)
The AI Unified Process (AIUP) is a pragmatic lifecycle model for developing, deploying, and governing AI/ML systems. It integrates iterative model development, MLOps automation, and organizational controls into a single workflow. AIUP promotes governance, reproducibility, and continuous improvement with adaptations for scale and risk profiles.
This block bundles baseline information, context, and relations as a neutral reference in the model.
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Definition · Framing · Trade-offs · Examples
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.
Content · Alternative to
(1)
Content · Related to
(1)
Dependency · Uses
(2)
Process · Enables
(1)