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 ...
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Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.
Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...
For conversational interaction to work, voice is merely the top layer. Underneath is a stack most organizations underestimate.
Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...
Enterprise electronic health record (EHR) systems generate enormous volumes of clinical and administrative data every day.
Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...