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 ...

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

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 ...

Wasm, PGlite, OPFS, and other new tech bring robust data storage to the browser, Electrobun brings Bun to desktop apps, ...

SQL Connect’s latest release delivers a modernized platform with Salesforce, Snowflake & Oracle ATP/ADW connectivity, multi-language support and audit controls. With this release, we’re delivering on ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

Meta is preparing a new hybrid AI release under Alexandr Wang, with some models set to remain open and others kept ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Mark Zuckerberg pushes Meta back into the AI spotlight with Muse Spark, a new model designed to power AI across Facebook, ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

For conversational interaction to work, voice is merely the top layer. Underneath is a stack most organizations underestimate.