Snowflake in Practice: Snowflake ML

Snowflake is now a first-class platform for machine learning, and this session covers the full ML lifecycle from training to inference. We’ll explore the Snowflake Feature Store (online store), model inference patterns, experimentation tracking, and the HuggingFace integration for leveraging open-source models directly in Snowflake. We’ll also address common migration paths for teams moving off legacy ML platforms onto Snowflake’s unified data + AI infrastructure.

Ideal for Data Scientists, ML Engineers, and AI Architects evaluating or expanding their ML stack.