Beyond Predictive Models: Adaptive Frameworks for Sustainable AI–Cloud Implementation

This review assesses the efficacy of various project management frameworks for integrating AI within cloud ecosystems. By contrasting the constraints of traditional predictive methods with adaptive models like Agile, DevOps, MLOps, and Kanban, the study highlights critical design pillars and persistent governance gaps. The analysis culminates in a recommendation for principle-based, hybrid frameworks that balance rapid experimentation with long-term operational risk management.