Lunch will be provided at 11:45am
Towards Enterprise-Scale Text-to-SQL
Recent advances in large language models (LLMs) have accelerated their use across a variety of data tasks. Natural language access to relational databases via text-to-SQL has been a prime example. Public benchmarks have been instrumental in driving research in this area, but achieving similar results in real enterprise settings with more complex data and query workloads still remains a challenge. This talk presents an overview of our ongoing research in quantifying and closing this gap towards realizing robust and efficient text-to-SQL deployments at enterprise scale.
About the speaker: Nesime Tatbul is a Senior Staff Research Scientist at Intel. For over a decade now, she has been based at MIT, overseeing Intel's university research programs on data systems and artificial intelligence. Previously, she received a Ph.D. from Brown University and held a faculty position at ETH Zurich. Her research contributions in data stream systems, time series analytics, and learned data management have been widely cited and recognized by awards. Nesime is an ACM Distinguished Member, an IEEE Senior Member, and a Trustee Emeritus of the VLDB Endowment.