AI and machine learning are enhancing DevOps automation by providing predictive and adaptive capabilities.ML models can analyze historical data to make decisions, identify issues early, and optimize CI/CD processes.One practical use case is using ML to detect anomalies in application build logs within a GitHub Actions workflow.AI-driven DevOps enables smarter automation, freeing up developers to focus on core functionalities.