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AI for Change Risk Prediction: Automating the Art of Safe Deployments
AI-driven change risk prediction analyzes historical deployment data to automatically assess how likely code or configuration changes are to cause production issues. By learning from past successes and failures, these systems help DevOps teams prioritize reviews, schedule deployments more safely, and prevent outages—transforming change management from subjective gut feelings into data-driven decisions that scale with modern CI/CD velocity.




























































































































