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 ...

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 ...

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

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

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

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

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

Conclusions: These findings identify a significant discrepancy between the billing of tobacco cessation services and the ...

The homelab that talks back.

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

Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...

Enterprise electronic health record (EHR) systems generate enormous volumes of clinical and administrative data every day.