Simplify your path to production with the flexibility to deploy models inside Snowflake for scalable compute and enhanced data governance or in an external serving layer to have models readily accessible as endpoints. Regardless of where the model is running, Snowflake makes it easy to make model results easily accessible to business users and data applications. 

Attend this webinar to learn how to:

  • Use Snowpark to build scalable pipelines 
  • Communicate with externally hosted models with external functions
  • Deploy models inside Snowflake with UDFs
  • Deliver model results to business users and data applications

 

This webinar is part of a two-part training series covering best practices to significantly speed up your data science and machine learning workflows. Click here to register for Part I of the series.

Sprecher
  • Michael Gregory

    Field CTO for Data Science and ML, Snowflake

  • Chase Ginther

    Field CTO for Data Science and ML, Snowflake

  • Rishu Saxena

    Field CTO for Data Science and ML, Snowflake

SAVE YOUR SEAT