Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

Oracle expands its AI database security strategy with new data protection, patching, and cyber resilience tools to help ...

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 ...

Spread the love“`html In the ever-evolving world of online retail, understanding customer feedback is crucial for maintaining a competitive edge. Google Cloud has recently launched a groundbreaking ...

A public preview of SQL Server 2025 adds new vector capabilities already found in rival databases, along with JSON support and change event streaming. Microsoft is moving SQL Server 2025 into public ...

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 ...

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...

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 ...

Genie translates plain English questions into structured SQL queries. National Australia Bank (NAB) is rolling out a ...

SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced at Snowflake Summit 2025, two major platform ...

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 ...

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 ...