AI Glossary: AI life cycle

AI life cycle

The end-to-end phases of AI solutions: ideate → data → build → validate → deploy → monitor → improve → retire.

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AI lifecycle

artificial intelligence life cycle

AI lifecycle management

Processes and tooling to manage that lifecycle at scale (approvals, evaluations, SLAs, rollback).
 

AI model lifecycle

The lifecycle for individual models and how you version, test, approve, monitor, and update them.

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AI model lifecycle management
    

generative AI lifecycle

The lifecycle adapted for GenAI (prompt/RAG design, safety evaluation, content policies, red-team, usage monitoring).

ML life cycle

The equivalent lifecycle and management for ML models.

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ML lifecycle management

ML model lifecycle

The equivalent lifecycle and management for ML models.

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ML model lifecycle management