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 ...

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

Evisions, the leader in data and reporting solutions for higher education, today announced the launch of Argos Data Agent, a new AI-powered capability within Argos X that enables institutions to ...

The homelab that talks back.

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

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.

Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

The path traversal flaw, allowing access to arbitrary files, adds to a growing set of input validation issues in AI pipelines.

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

This award takes notice of the next dominant force in Pacific Northwest tech, and the finalists are: Overland AI, Carbon ...