Following the success of our GenAI-focused session, the WBD Snowflake Team is back with the next installment in our AI + ML series!
Join us as we dive deeper into Snowflake’s rapidly evolving Machine Learning and Data Science capabilities—designed to help Warner Bros. Discovery accelerate innovation across content, streaming, marketing, ad sales, and beyond.
In this session, we’ll demonstrate how WBD teams can build, deploy, and manage ML workflows at scale, directly within Snowflake. You’ll learn how Snowflake simplifies feature engineering, model training, and inference—without moving data—while integrating seamlessly with Python, open-source libraries, and leading ML frameworks.
Whether you’re enabling advanced analytics for content engagement, optimizing ad spend, or attempting to forecast box office success, this session will show you how Snowflake empowers data scientists and analysts alike.
Agenda:
- Engineer features and prep data with ease
- Train models with Snowpark ML and external tools
- Deploy ML workflows securely at scale — without moving data
- Enable collaborative data science using Python, notebooks, and more
Register Here