AI is changing how people interact with data - turning SQL queries into natural conversations.
At LegalShield, we built a Text-to-SQL chatbot that let users ask, “What was our churn rate last quarter?” and instantly get results from our data warehouse.
In demos, it was flawless. In production, accuracy dropped, and we learned why: AI can automate answers, but it can’t automate understanding.

In this session, we’ll explore:
- How Text-to-SQL tools really work (and where they fail)
- Why adoption depends more on trust than technology
- The role of data teams as partners, not just report providers

How to measure true business impact.

You’ll walk away with a practical framework for bringing generative AI into your analytics stack — responsibly, measurably, and with a stake in outcomes.

Key Idea: As AI commoditizes analysis, data teams must move from delivering reports to co-owning business results.