---
title: "BI Is Dead, Long Live BI"
url: https://daily.dev/posts/bi-is-dead-long-live-bi-6ywvgynvc
source_url: https://towardsdatascience.com/bi-is-dead-long-live-bi
type: article
source: "Towards Data Science"
published: 2026-06-11T18:10:31.779Z
updated: 2026-06-11T18:11:00.424Z
tags: ["ai-agents", "data-analysis", "bi"]
reading_time: 9
upvotes: 0
comments: 0
language: en
---

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# BI Is Dead, Long Live BI

**[Towards Data Science](https://daily.dev/sources/tds)** · 9 min read · 0 upvotes · 0 comments

## Summary

Traditional BI is fundamentally broken because it only answers questions that were already asked, leaving the harder problem — knowing which questions to ask — entirely unsolved. AI agents from Meta, OpenAI, and ClickHouse are improving the 'how to answer' step but still rely on users to formulate the right questions. The real opportunity lies in a 'business intent layer': define your goals and key metrics once, then let an agent autonomously monitor data across all sources and surface meaningful signals before anyone thinks to ask. This requires assembling existing components (semantic layers, data catalogs, orchestration tools) with an agent that holds business context and acts proactively. Whoever builds this isn't just making a better BI tool — they're redefining what data-driven means in the agent era.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/bi-is-dead-long-live-bi>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#data-analysis](https://daily.dev/tags/data-analysis), [#bi](https://daily.dev/tags/bi)

[View this post on daily.dev](https://daily.dev/posts/bi-is-dead-long-live-bi-6ywvgynvc)
