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Session

Chat with Your Data: From Natural Language to SQL

with Alper Ebicoglu

About This Session

This session shows how to build a .NET application that lets users generate reports simply by chatting. I’ll walk through my hands-on experience that reads your database schema, understands user intent, creates secure SQL queries, executes them, and exports results to Excel and charts automatically. You’ll see how LLMs can deliver real value in everyday enterprise apps, how to handle schema discovery, query validation, and prompt design, and how to create an intuitive UX for both developers and non-technical users. Attendees will leave with practical patterns, architectural guidance, and code examples they can apply immediately to bring natural-language data access into their own systems.

Topics

  • Agentic AI
  • Databases
  • Generative AI (GenAI)
  • Large Language Models (LLMs)
  • .NET
  • SQL