Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

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 ...

SQL Connect’s latest release delivers a modernized platform with Salesforce, Snowflake & Oracle ATP/ADW connectivity, multi-language support and audit controls. With this release, we’re delivering on ...

Teradata announced the availability of its enterprise-grade Analyst Agent on Microsoft Marketplace, bringing AI-assisted, conversational analytics directly into customers' existing Azure environments.

VMware Tanzu Platform new innovations include AI agent foundations on VCF, a revamped Tanzu Data Intelligence, new AI ...

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 ...

A Compiler-Centric Approach for Modern Workloads and Heterogeneous Hardware. Michael Jungmair Technical University of Munich ...

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

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