Tidymodel prediction workflows inside databases with orbital and Snowflake

Nick Pelikan, Senior Solution Architect at Posit highlighted how you can: 1. Fit and deploy R models directly in Snowflake 2. Use Snowflake’s compute to drastically reduce model runtime 3. Save and share models across your team, making them accessible through tools like Snowsight and Python This end-to-end workflow makes it easier to implement models and scale insights across your organization using Posit and Snowflake. You can learn more about the workflow in our blog as well→ https://posit.co/blog/running-tidymodel-prediction-workflows-inside-databases/ Helpful links: ✨ Q&A Recording → https://youtube.com/live/VWKRYdikf7s?feature=share ✨ Blog post highlighting this example → https://posit.co/blog/running-tidymodel-prediction-workflows-inside-databases/ ✨ orbital package → https://orbital.tidymodels.org/ ✨ Want to chat more about using Posit & Snowflake together? → https://posit.co/schedule-a-call/?booking_calendar__c=Snowflake To add future Workflow Demo events to your calendar → https://www.addevent.com/event/Eg16505674