# Tableau Einstein 1 Co-Pilot Detailed Breakdown | Dreamforce 23

> 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:** 2023-09-24
- **Format:** Video · 26 min watch · transcript available
- **Topics:** AI & ML, Data visualisation, Industry trends
- **Tools:** Tableau (ai, calculated fields, cloud, maps, prep, relationships)
- **Canonical:** https://just-tim.com/posts/tableau-einstein-1-co-pilot-detailed-breakdown-dreamforce-23
- **Watch:** https://www.youtube.com/watch?v=KzmHiNoscdk

I break down the Einstein Copilot for Tableau segment from the Dreamforce 23 keynote, walking through the live demos of natural-language calculations in Tableau Prep, AI-suggested questions, automatic map building and pushing customer segments back into Salesforce. I add my own commentary on what this means for analysts and where the skill set is heading.

## Key takeaways

- Einstein Copilot lets you ask questions in natural language to build calculations, charts and maps without dragging pills or writing code, with a June 2024 launch and a cloud-first rollout.
- As AI handles dashboard building, the value for analysts shifts towards data engineering, data modelling, metadata and security work that makes data AI-ready in the first place.
- AI can act as a learning shortcut: seeing a generated REGEXP_EXTRACT calculation should prompt you to go and understand regex, raising overall data literacy.
- The demo relates two spatial data sets (customer transactions and store locations) via map layers, and lets you select customers and push them back into Salesforce as an audience segment without publishing anything.
- Much of modern Tableau is demoed in the browser web-edit experience rather than Desktop, and Einstein lives in the right-hand contextual panel where Explain Data and Ask Data used to sit.

## Chapters

- 0:32 Why analyst roles are shifting
- 2:09 Announcing Einstein Copilot for Tableau
- 3:20 Launch timing and cloud-first concerns
- 5:52 Demo: extracting postcodes with natural language
- 7:04 Regex, AI and data literacy
- 11:37 Suggested questions and building maps
- 17:40 Map layers and data model relationships
- 21:35 Pushing segments back to Salesforce
- 23:52 Live demo mishaps and summary

Watch the full video, read the transcript and use chapter deep-links on the page: https://just-tim.com/posts/tableau-einstein-1-co-pilot-detailed-breakdown-dreamforce-23

---
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