Phase Description Key Artifacts
Design Defining the strategy, architecture, and data needs. AI Strategy, Technical Architecture, Data Plan.
Development Building, training, and integrating the solution components. Fully Trained AI/ML Model, Data Pipelines, Tool/Platform Code.
Testing Verifying model performance and system functionality. Model Validation Report, System Integration Test (SIT) Results.
MLOps Establishing production deployment, monitoring, and maintenance. Automated Deployment Scripts, Monitoring Dashboards, Operational Runbook.