Officially

From the publisher, with its history intact.

Databricks databricks.com

What is AI analytics? Why it only works on governed data

Imported from official source

AI Classified by Officially

  • AI analytics isn't BI with a chatbot bolted on. It shifts who does the analytical work, from a human navigating dashboards to a system that can understand intent, investigate, and increasingly act on its own.
  • Trustworthy AI analytics depends on four things: governed data, shared business context, permission-aware execution, and verifiable evidence. Better models alone don't get you there.
  • Fragmented business definitions were always a BI problem. AI turns it into a bigger one, because the system now has to resolve organizational disagreements on its own, and the wrong answer can look completely reasonable.

    • AI analytics is the practice of applying artificial intelligence and machine learning to data analysis, enabling systems to surface patterns, generate insights, and answer questions in natural language without manual query-building. It shifts analytics from retrospective dashboards toward automated, conversational, and predictive workflows that a broader set of business users can act on directly.

    Every BI vendor can demo a natural-language query today. Ask a question, get a chart, look impressive in a room. The harder question, the one that separates a category-defining platform from a good demo, is what happens when that same system meets a real enterprise: conflicting metric definitions, five tables that could plausibly answer the question, and a user who technically shouldn't see half the underlying data.

    Richard Tomlinson leads product marketing for Databricks' business intelligence and analytics products. In this conversation, we talked through what changes when BI becomes AI-native, why governance turns out to matter more with AI rather than less, and what a data leader should be asking vendors instead of which foundation model they use.

    How is AI analytics different from traditional BI?

    BI has always been able to tell you what happened. What's actually different about AI analytics, and why is it more than just BI with a chatbot bolted on?

    This is an extract. The publication continues at the source.

    Read the original at the source: https://www.databricks.com/blog/what-ai-analytics-why-it-only-works-governed-data

    Officially imported this from Databricks’s own source and shows an extract. If you work there, claiming the profile and verifying the domain lets you choose to show the full text here.

    Provenance

    Organization
    Databricks — imported from official source
    Official source
    https://www.databricks.com/feed RSS
    Imported
    September 21, 2026 22:30
    Versions
    1 recorded
    Identity
    https://www.databricks.com/blog/what-ai-analytics-why-it-only-works-governed-data

    Officially records where a publication came from, not whether it is true. Imported records are reproduced from an organization's own official source.