Run AI Where Your Data Lives — Directly Inside SQL
Organizations today are collecting vast amounts of customer feedback — but very little of it is used effectively. This data comes from support tickets, surveys, emails, and product interactions. While it is highly valuable, most of it exists as unstructured text, making it difficult to analyze using traditional SQL-based approaches.
To extract insights using AI, teams typically build pipelines, move data across systems, and manage additional infrastructure. This introduces complexity, delays, and limits how quickly business teams can act.
What if AI could be executed directly where the data already lives?
In this article, I explore how in-database AI functions can turn customer feedback into business decisions — no pipelines, no data movement, just SQL.