Symptom-based Alerting for Machine Learning - Lessons from 30+ Use Cases

This talk presents a practical approach to monitoring machine learning systems, drawing on more than 30 use cases. It discusses which metrics to implement first and whether existing monitoring and dashboard tools are sufficient or an MLOps platform is needed.