# AI-Powered R & Python Data Science You Can Actually Trust (Snowflake Summit 2026 Demo)

> Narrated product walkthrough by Chetan Thapar (Senior Product Marketing Manager, Posit), based on Posit's Snowflake Summit 2026 session. Demonstrates an end-to-end AI-assisted data science workflow — from data exploration through predictive modeling, reporting, Shiny app development, and business decision-making — running natively within Snowflake using the Posit Team Native App. Central theme: how organizations adopt AI-powered data science while maintaining governance, reproducibility, and trust.

## What the Demo Covers

The walkthrough follows a complete workflow across five stages, all running inside the customer's Snowflake account:

**1. Data Exploration and Cleaning** — Data scientists explore and analyze Snowflake data using AI-powered assistants (Posit Assistant) without copying data out of the platform.

**2. Semantic Models and Business Context** — Snowflake semantic models are applied to ensure business context and terminology consistency across analyses, so AI suggestions align with how the organization defines its metrics.

**3. Calibrated Autonomy** — A core design principle: AI suggests, humans decide. The workflow preserves human oversight and code-backed transparency rather than automating decisions away from practitioners.

**4. Reproducible Analysis and Reporting** — Analyses are built as code (R and Python) and published as Quarto reports, creating reproducible, auditable outputs rather than static snapshots.

**5. Shiny Application Development and Deployment** — Data scientists build and deploy interactive Shiny applications directly from their workflow within the Posit Team Native App, making outputs self-service for business stakeholders.

**6. Natural Language Data Products** — Snowflake Cortex LLMs power conversational, natural-language interfaces over governed data for business decision-makers.

**7. Governance Throughout** — Snowflake role-based access controls and governance policies are enforced at every step. Data never leaves the customer's Snowflake account.

## Key Technologies Featured

- **Posit Team Native App** — Runs Posit Workbench, Connect, and Package Manager as a Snowflake Native App inside the customer's account
- **Positron** — Posit's data science IDE (alongside RStudio, JupyterLab, VS Code)
- **Posit Assistant** — AI assistant integrated into the development workflow
- **Snowflake Cortex AI** — LLMs for natural language interfaces and AI-assisted analysis
- **Snowpark Container Services** — Compute infrastructure running inside Snowflake
- **Shiny** — Interactive application framework for R and Python
- **Quarto** — Reproducible reporting and document publishing
- **R and Python** — Primary data science languages throughout

## Target Audience

Data scientists, analytics leaders, AI practitioners, and Snowflake customers evaluating how to scale AI-assisted analytics without losing transparency, governance, or reproducibility.

## Relevant Links

- [Posit Team Native App on Snowflake Marketplace (free 30-day trial)](https://app.snowflake.com/marketplace/listing/GZTSZMCB9S/posit-pbc-posit-team-native-app)
- [Posit + Snowflake partnership](https://posit.co/solutions/snowflake)
- [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)
- [Snowflake Summit demo recording on YouTube](https://www.youtube.com/watch?v=0UPM4mSluPk)