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

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 ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

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 ...

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 ...

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

Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

Morgan Stanley analysts are pushing back on the software sector’s reaction to the rise of managed AI agents, arguing that the selloff in cloud infrastructure stocks misreads how the technology ...