What We Learned Building LLM-Powered Text-to-SQL
Details
This session provides an overview of why text-to-SQL remains challenging, how LLMs translate natural language into SQL
We’re excited to invite you to an exclusive FREE workshop hosted by the Touro University Graduate School of Technology (RSVP Link):
What We Learned Building LLM-Powered Text-to-SQL, presented by Fatma Ozcan, Principal Engineer at Systems Research @ Google.
This session provides an overview of why text-to-SQL remains challenging, how LLMs translate natural language into SQL, and how CHASE-SQL and contextual signals improve performance.
Workshop Details:📅 Date: Monday, March 26, 2026🕖 Time: 7:00 PM (EDT)📍 Location: Zoom (link provided upon registration)
What You’ll Learn:
✅ Why text-to-SQL remains challenging in real-world databases
✅ How LLMs translate natural language into accurate SQL
✅ Inside CHASE-SQL: a multi-agent framework for better query generation
✅ Key findings from achieving strong performance on benchmarks like BIRD and Spider
✅How contextual signals (examples, hints, schema, documentation) improve performance
Meet the Speaker: Fatma Ozcan is a Principal Engineer at Systems Research@Google. Before she came to Google, she was a Distinguished Research Staff Member and a senior manager at IBM Almaden Research Center. Her current research focuses on platforms and infra-structure for large-scale data analysis, query processing and optimization of semi-structured data, and democratizing analytics via NLQ and conversational interfaces to data.
How to Register: Confirm your attendance by clicking the RSVP link below and completing the registration form. The Zoom link will be provided upon registration.If you have any questions, feel free to reach out. We look forward to seeing you there!