---
title: "How GitLab is Moving From BI to AI with AI-ready Data Products"
url: "https://atlan.com/regovern-watch-center/how-gitlab-is-moving-from-bi-to-ai/"
description: "Amie Bright from GitLab explains why traditional BI tools are becoming obsolete as teams demand conversational AI - and why that makes metadata and context non-negotiable."
keywords: "atlan, data governance, regovern 2025, regovern watch center"
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

How GitLab is Moving From BI to AI with AI-ready Data Products is a video from Re:Govern 2025, published in Atlan's Re:Govern Watch Center. Amie Bright from GitLab explains why traditional BI tools are becoming obsolete as teams demand conversational AI - and why that makes metadata and context non-negotiable.

Watch it at https://atlan.com/regovern-watch-center/how-gitlab-is-moving-from-bi-to-ai/ (free; the page asks for an email after two minutes of viewing).

## Speakers

- **Amie Bright**, VP of Enterprise Data & Insights, GitLab. Amie is driving GitLab toward "AI-ready data," with governance at the center. She believes BI is on its way out and is testing AI chatbots while tackling hallucinations and missing context. Her mission: prepare GitLab's data for an AI-first future where traditional BI tools fade.

## Companies

- **GitLab**: GitLab is the world's largest all-remote public company. With distributed teams across the globe, GitLab is testing AI chatbots and building AI-ready data products where governance replaces centralized control with transparency and context.

## What's inside

"Five years ago, getting people to care about data governance was an act of Congress." Now, poor data quality and missing context are AI strategy killers. GitLab is shifting from traditional BI dashboards to AI-ready data products where users discover insights themselves through conversational interfaces - and that transformation requires active metadata management because you can't mask poor quality when AI is doing the work.

Key takeaways:

- Traditional BI tools may be obsolete as companies like Salesforce and Tableau pivot to conversational AI
- AI-ready data products have been the goal for 10 years - AI finally provides the use case that makes them essential
- Users want self-service discovery through AI, not waiting for analysts to build dashboards and send insights
- Metadata and context become non-negotiable because AI exposes poor data quality that BI tools could mask
- Teams now want to participate in active metadata management because they see the value on the other side

## Related

- [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/)
- [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/)
- [The Hidden Strategies Behind AI-Ready Tech Pioneers (panel)](https://atlan.com/regovern-watch-center/hidden-strategies-behind-ai-ready-tech-pioneers/)
- [All Re:Govern 2025 sessions and highlights: the Re:Govern Watch Center](https://atlan.com/regovern-watch-center/)
- [Book a demo of Atlan](https://atlan.com/forms/talk-to-sales-contact/)