Feature Drift Challenges

Erica shares her experience with a significant data quality issue caused by unexpected feature distribution changes, which led to a decline in model performance. The incident highlights the importance of robust monitoring systems to detect silent changes that can drastically affect predictions. She emphasizes the need for better practices in ML Ops to manage these challenges effectively.