SQL Server databases often contain precious data such as customer information, financial records, and account passwords—assets that are often both essential to the business and subject to compliance ...

A step-by-step guide for DevOps teams on reviewing, testing, and enforcing policy checks on AI-generated SQL before it ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

Microsoft's early embrace of advanced AI in its dev tooling continues apace with the new public preview of SQL database in Microsoft Fabric, the company's analytics/data platform. Fabric is a ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

On Thursday, Google announced a whole series of database and data analytics improvements to its cloud data architecture. In this article, we'll focus on the substantial improvements to Spanner and ...

Rubrik announced new Google Cloud integrations for AI agents and Cloud SQL. Rubrik Agent Cloud adds governance and remediation features for Gemini Enterprise Agent Platform. Rubrik Security Cloud adds ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...