AI/ML-Integrated MLOps Framework for Autonomous DevOps Pipeline Optimization: A Technical Disclosure & Validation

Traditional DevOps Pipelines Rely on Static Rules and Reactive Processes, Limiting Scalability & Reliability.This Work Proposes an AI/ML-Integrated MLOps Framework That Transforms Delivery Pipelines into Adaptive, Self-Optimizing Systems, By Learning from Code Changes, Infrastructure Signals and Operational Patterns, The Framework Predicts Deployment Risks, Detects Anomalies and Automates Decision-Making, The Result is a Proactive, Autonomous Pipeline Capable of Reducing Failures, Minimizing Manual Intervention and Accelerating Continuous Delivery.