A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
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 ...
AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.
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 ...
A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...
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 ...
Does schema markup really benefit AI search optimization? Some suggest it can 3x your citations or dramatically boost AI visibility. But when you dig into the evidence, the picture is far more nuanced ...
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