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 ...

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 ...

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

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 ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Faculty members at Northeast Community College are beginning to integrate artificial intelligence tools into their classrooms ...

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

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

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

Snowflake is leveraging its Cortex AI suite to transition from a data cloud leader into a dominant force in the enterprise AI infrastructure market.

Autocratic development governance dismantles public engagement, facilitates human rights violations, and exacerbates social ...

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...