Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

VAST AI OS will leverage NVIDIA libraries to accelerate both compute and data services for RAG, vector search, real-time SQL, ...

As I described here, Power BI can send SQL queries in parallel in DirectQuery mode and you can see from the Timeline column there is some parallelism happening here – the last two SQL queries ...

Microsoft SQL Server installation is simple when system requirements and edition choices are planned.Choosing the right authentication mode, such as ...

Abstract: Existing object storage systems like AWS S3 and MinIO offer only limited in-storage compute capabilities, typically restricted to simple SQL WHERE-clause filtering. Consequently, high-impact ...

This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. Trino (formerly ...

Google announced late on Friday that Gemini 3 Pro is now powered Google AI Overviews for complex queries. Google actually said this last November, but then edited its story to say it was just AI Mode ...

SemBench is a benchmark targeting a novel class of systems: semantic query processing engines. Those systems rely inherently on generative and reasoning capabilities of state-of-the-art large language ...

Redpanda, the real-time data platform for the agentic enterprise, is releasing the Agentic Data Plane (ADP)—a new suite for safely connecting AI Agents across the growing digital workforce. According ...