Caleb Baechtold

Experience the next level of MLE productivity. This session provides a deep dive into Snowflake CoCo, a massive accelerator designed to automate Snowflake ML pipelines from ingestion to production. We will demonstrate how Snowflake CoCo meets machine learning engineers in their preferred environments to simplify the full lifecycle of enterprise models. Whether you are looking to reduce technical debt or scale your ML operations, join us to see how to build faster, smarter and more resilient pipelines at scale.

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.