Organizations of all sizes continue to invest in machine learning to improve upon a variety of revenue drivers and operational efficiencies, but many of these initiatives struggle to go beyond proof of concept. Join us to see first-hand how Snowflake and DataRobot can provide a scalable and repeatable path to production with an integrated solution for model deployment and monitoring that leverages the power of the cloud.
IN THIS DEMO YOU’LL SEE HOW TO:
- Incorporate third party data from Snowflake Data Marketplace into your models
- Prepare data and perform feature engineering in Zepl using Snowpark
- Train and evaluate a supervised machine learning model using DataRobot
- Deploy and monitor models in production using Snowflake Java UDFs
Partner Sales Engineer, ML, Snowflake
Director of Time Series Data Science, DataRobot