A Cloud-Native MLOps Framework for Drift Detection, Automated Retraining, and Reliable Real-Time Inference in Predictive AI Systems
Tight architectural integration between telemetry and orchestration removes human-in-the-loop operational overhead and keeps live predictive systems resilient against distribution decay, and demonstrates that tight architectural integration between telemetry and orchestration keeps live predictive systems resilient aga...