AI-Powered R & Python Data Science You Can Actually Trust | Snowflake + Posit Demo
How can organizations adopt AI-powered data science while maintaining governance, reproducibility, and trust? Based on Posit's popular Snowflake Summit 2026 session, Chetan Thapar, Senior Product Marketing Manager at Posit, demonstrates how organizations can use AI assistants, Snowflake Cortex LLMs, and the Posit Team Native App to accelerate R and Python data science workflows while maintaining governance, reproducibility, and trust. This narrated walkthrough follows an end-to-end workflow from data exploration and cleaning through predictive modeling, reporting, application development, and business decision-making, all running natively within Snowflake.
See how data scientists can:
- Explore and analyze Snowflake data using AI-powered assistants
- Apply semantic models to ensure business context and consistency
- Use calibrated autonomy, where AI suggests and humans decide
- Build reproducible, code-backed analyses and reports
- Create and deploy Shiny applications directly from their workflows
- Deliver dynamic, natural language-powered data products
- Enforce Snowflake governance and role-based access controls throughout the process
Key technologies featured:
- Posit Team Native App
- Snowflake Cortex AI
- Snowpark Container Services
- Posit Assistant
- Positron
- Shiny
- Quarto
- R and Python
Whether you're a data scientist, analytics leader, AI practitioner, or Snowflake customer, this session explores how to scale AI-assisted analytics without sacrificing transparency, governance, or trust.
Learn more:
- Start a free 30-day trial of the Posit Team Native App: https://app.snowflake.com/marketplace
- Learn about the Posit + Snowflake partnership: https://posit.co/solutions/snowflake
- Read how Posit and Snowflake built an enterprise data science engine: https://posit.co/blog/how-posit-and-snowflake-built-enterprise-data-science-engine-native-integration-173-pipeline