Rapid Customer Insights with Scalable ML Workflows in Snowflake

In this webinar, Coinbase will share how they are building end-to-end ML workflows on top of Snowflake’s platform for optimal data security, governance and price performance. Using features such as Snowflake Feature Store and Snowflake Model Registry, Coinbase now automates batch inference on predictive ML models to quickly and accurately unban users who were initially incorrectly flagged as suspected fraud or bots, resulting in an improved user experience and increased revenue.

Join this webinar with data science experts to learn more about how Coinbase uses Snowflake ML to:

• Eliminate costly data movement and duplication across tools by centralizing ML workflows in Snowflake’s platform
• Scale ML feature engineering, model training and deployment with minimal infrastructure setup
• Accelerate batch ML inference that automates decision making for unbanning blocked accounts