# Tableau GPT - Ai in Tableau Prep, Tableau Pulse & more  | Announced at Tableau Conference 2023

> This is content from just-tim, the data-and-analytics channel by Tim Ngwena (formerly 'Tableau Tim'). Tim has 12+ years of hands-on BI experience and covers Tableau most of all, plus Power BI, Looker, Hex, SQL and data modelling, the analytics industry, and the craft of doing the job — always tool-agnostic and honest about the trade-offs.

- **Author:** Tim Ngwena (just-tim, https://just-tim.com/about)
- **Published:** 2023-05-14
- **Format:** Video · 7 min watch · transcript available
- **Topics:** AI & ML, Industry trends, Data prep
- **Tools:** Tableau (ai, prep, pulse)
- **Canonical:** https://just-tim.com/posts/tableau-gpt-ai-in-tableau-prep-tableau-pulse-more-announced-at-tableau-conference-2023
- **Watch:** https://www.youtube.com/watch?v=l8OKh4QT2Ks

Tableau announced Tableau GPT at Tableau Conference 2023, and I break down what it means across the platform. I cover the underlying large language model, how it surfaces in search, Tableau Pulse and Tableau Prep, and the caveats around accuracy in an analytical context.

## Key takeaways

- Tableau GPT is built on a large language model trained to understand both Tableau's terminology and analytical context within organisations, sitting as an underlying layer across the platform.
- AI capabilities were demonstrated in three places: the search bar for metric questions, Tableau Pulse for generated prompts and open-ended queries, and Tableau Prep for tasks like extracting an email from a JSON field via regex.
- The model is likely trained on Tableau's knowledge base, documentation, forums and telemetry from Tableau Public, making its responses richer and more context-aware.
- AI is strongest for prompting direction (what to ask, what to look at) but riskier for mission-critical work, where wrong answers can have serious business consequences.
- Generated calculations should come with documentation and performance implications, ideally nudging you to push heavy logic back into the data stack rather than into Tableau itself.

## Chapters

- 0:18 Why Tableau had to talk about AI
- 1:02 What Tableau GPT actually is
- 2:27 AI across search, Pulse and Prep
- 4:13 Training sources and telemetry
- 4:46 The accuracy caveat

Watch the full video, read the transcript and use chapter deep-links on the page: https://just-tim.com/posts/tableau-gpt-ai-in-tableau-prep-tableau-pulse-more-announced-at-tableau-conference-2023

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just-tim — Data and analytics, with a point of view. · https://www.youtube.com/channel/UC7HYxRWmaNlJux-X7rNLZyw · https://twitter.com/TableauTim · https://www.linkedin.com/in/timngwena