Machine Learning Operations for Risk Prediction

Create a comprehensive MLOps pipeline specifically designed for financial risk prediction models, supporting continuous model training, validation, and deployment. Develop an automated system that can retrain machine learning models using incremental learning techniques, with built-in bias detection and model performance tracking. Implement a sophisticated A/B testing framework that allows seamless comparison of different risk prediction strategies.