Seamless R/Python Model Deployment with Snowflake and Orbital

This monthly workflow demo showcases an integrated approach to deploying R and Python machine learning models, leveraging the power of the Snowflake Data Cloud and Posit's Orbital. This session will provide a practical, end-to-end demonstration of how data scientists and MLOps engineers can streamline their model operationalization workflows.

In this demo we explore:

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  • Efficient Model Training: Train your models in your preferred language (R or Python) directly within Snowflake.
  • Robust Governance: Utilize Snowflake governance and the Snowflake Model Registry for strong data and model governance.
  • Seamless Model Deployment: Deploy your trained models for inference effortlessly using Orbital.
  • Reproducible Deployments: Learn best practices for creating deployments that are consistent and reliable.
  • Accelerated Delivery: Ensure a smooth transition from development to production, speeding up the delivery of valuable data science insights