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
Speakers
  • Miles Adkins

    Partner Sales Engineer, ML, Snowflake

  • Tony Martin

    Director of Time Series Data Science, DataRobot

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