ON-DEMAND
Adding Observability to your end-to-end ML/Gen AI Workflows
This webinar reviews the entire process to build ML Models within Snowflake, with a special emphasis on adding observability on production models deployed via Snowflake Model Registry. Understand how to track model performance over time and detect model behavior change due to input drift.
Objectives
This webinar covers the following:
- •ML Observability
- End-to-end ML within Snowflake review
- Model observability workflow
- Model monitors
- Detecting model performance demo
- •AI Observability
- Evaluate possible failures in RAG Apps
- Evaluate RAG performance
- AI Observability in Snowsight
Audience
- •Technical Sales
- •Consultants
Learning Tracks
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