Collin Austad

Discover how Podium turned call-level data into real-time lead recommendations entirely inside Snowflake ML. Using the Snowflake Feature Store, we assembled a leakage-safe data set, trained an XGBoost model on a GPU compute pool and registered it in the Snowflake Model Registry — then deployed it through Snowpark Inference Services for real-time scoring. Our business app queries the REST API to prioritize outreach instantly, leveraging engagement momentum, appointment readiness and temporal patterns — driving measurable increases in lead conversion and showing how live, data-driven scoring can accelerate sales outcomes for any business.

Discover how Podium harnesses Snowflake Cortex LLMs to automate qualitative churn analysis at scale. Learn how the company transforms raw customer interactions into actionable insights — uncovering pain points and churn drivers with ease. This session explores how Cortex LLMs simplify text analysis, making it a cost-effective, seamless solution for extracting deep customer intelligence. Don’t just track churn — understand it.