Once deployed, models require constant monitoring to prevent performance degradation due to data drift or changing patterns. Regular retraining, version control, and automated monitoring systems help maintain accuracy and reliability in production environments. https://weeblyblog.com/top-5-challenges-in-scaling-machine-learning-models/