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 ...

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 ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

Florida’s OpenAI probe cites the FSU shooting, but the state’s case also extends to child safety, self-harm, and data privacy ...

Anthropic brings Claude into Microsoft Word, enabling in-document AI edits, comment-based updates, and cross-app workflows in ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

Frank AI - Sales Manager brings contextual AI directly into planning, campaign, and conversion workflows for growing ...

Every week at The Neuron, we cover the AI tools, breakthroughs, and policy shifts shaping how 675,000+ professionals work.

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...