Data platforms were built to store. Intelligence platforms are built to reason.
Summary
Databricks practitioners can now build intelligence platforms that govern meaning, enabling AI to reason reliably on their data. This shift from storing information to governing meaning is crucial for reliable AI.
Summary generated by brickster.ai. For the full article, follow the source link above.
More from dbt Labs Blog
Why agentics projects fail and how to fix them
Why do some Databricks agentic AI deployments succeed while so many fail? The data points to specific, identifiable failure patterns—and this post breaks down what they are and how teams can fix them.
How dbt State cuts warehouse compute and speeds up every run
How Fanatics cut warehouse compute by only rebuilding what's changed
dbt Summit 2026: the keynotes and product sessions
The dbt Summit 2026 keynotes and the product sessions behind them.
From analytics engineer to context engineer
Analytics engineers are evolving into context engineers as the focus shifts from modeling data for dashboards to modeling context for AI agents. The first entry in a new series explores this transition by putting the approach into practice with