The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

So many cool Fabric features get announced at Fabcon that it’s easy to miss some of them. The fact that you can now not only generate Excel files from Fabric Dataflows Gen2, but that you have so much ...

Discover how agentic AI is reshaping databases. Explore critical insights and prepare for the future of data management today ...

Power BI is among the most essential tools for the data and analytics ecosystem. It will be the leading BI tool for Microsoft ecosystem companies in 2026 and for most enterprises, mid-market companies ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Abstract: Text-to-SQL is a task of synthesizing SQL queries from utterances. Most existing approaches of text-to-SQL rarely utilize tables to guide the prediction of SQL query. We present a novel ...

It's a double score, psychologically at least: Recreating something that shouldn't be expensive but is, and making it with something that seems like it should be pricey but isn't. In this case, we're ...