Chase Romano

In this session, two of Snowflake's most senior ML architects will deep-dive into best practices for ensuring maximally efficient and cost-effective development and deployment of ML capabilities on Snowflake. We will cover optimization techniques throughout the end-to-end ML workflow to achieve best-in-class price performance, as well as best practices for managing efficient model deployment and production pipelines. We will highlight different approaches and trade-offs as well as considerations for how to maximize performance and cost efficiency when running enterprise models on Snowflake ML.