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 ...

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

New enterprise connectors for SharePoint Online, OracleDB, SMB, and LDAP expand out-of-the-box data access for AI ...

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

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

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

Combined company serves 200+ customers with a unified platform spanning data integration, analytics, AI-driven insights, and planogram automation.

Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...

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 ...