Intro to ML Monitoring: Data Drift, Quality, Bias and Explainability
How to implement data and AI observability into your own pipelines (Kafka, Airflow, Flyte, etc) and ML applications.
SAGE ELLIOTT
WhyLabs
If you want to build reliable pipelines, trustworthy data, and responsible AI applications, you need to validate and monitor your data & ML models!
In this workshop we cover how to ensure model reliability and performance to implement your own AI observability solution from start to finish.
