Machine learning observability in production
Watch an October 2022 webinar on production ML monitoring, anomaly analysis, data drift, alert policies, and retraining strategies.
What's in this video
- This webinar recording from October 2022 covers observability for machine learning models in production.
- Amir Servi demonstrates integrating models and analyzing production behavior with visual tools.
- The session covers monitoring policies, alerts for anomalies, and correlations for root cause analysis.
- It also discusses using production data to guide model retraining strategies.