Rigorous change management for model updates and deployments. Defines approval requirements, testing gates, and promotion criteria across environments. Includes canary deployment strategies, rollback procedures, and success metrics. Addresses emergency changes, hotfixes, and scheduled releases. Integrates AI-specific considerations into existing ITIL or DevOps change management processes. Reduces deployment risk while maintaining release velocity.
One-time purchase
