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AI & DATA
AI Model Lifecycle Framework
A framework for the end-to-end AI/ML model lifecycle — from problem framing and data through build, validation, deployment, monitoring, and retirement — with the governance gates at each stage.
IntelligenceValue chainIndustryCross-industryPracticeAI StrategyFocus04 Transformation Blueprints
AI Intelligence
Capability
Data & AnalyticsAI Governance
Stage
Discover›Assess›Prioritize›Design›Govern›Deploy›Adopt›Measure›Scale
Value levers
Risk
ai model lifecycle frameworkai model lifecycledata sourcing and preparationmodel development and experimentationvalidation and independent reviewdeployment and release managementmonitoring, drift and performanceframework end-to-end