Why text-to-SQL isn’t a solved problem (yet) for enterprise AI and data. Multiple LLMs could generate SQL from basic natural language queries. So why bother to create yet another text-to-SQL model?

The Text-to-SQL solution can be applied in various domains, including finance, healthcare, and e-commerce, where users can query databases using natural language to gain insights from their data.

Without detailed contextual understanding of the data, the text is converted into SQL that doesn’t give the right answer. But thanks to the use of its semantic layer, AtScale claims that it has ...

"App Orchid's groundbreaking milestone in text-to-SQL accuracy is a remarkable leap forward for AI-driven data accessibility," said Vaibhav Nadgauda, CEO, App Orchid."Our 99.8% accuracy rate not ...

“Our text-to-SQL AI feature is a game-changer, and we can’t wait to demonstrate its capabilities to the data community.” The San Diego, California company also announced that it recently obtained SOC ...

AtScale launches public leaderboard for Text-to-SQL, offering a standardized framework to enhance transparency, competition & collaboration in T2SQL.