Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

Oracle expands its AI push with a new Google Cloud agent enabling natural language database queries as multicloud revenues ...

Data foundations were never designed to support intelligent workloads at scale, but unified data lakehouse architecture might ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Excel has become a robust platform for analytics with AI, automation, and advanced visualization features. Copilot’s natural language prompts, Power Query’s live data connections, and dynamic ...

Organic click-through rate on Google searches with AI Overviews is rising, breaking a year-long slide. Could click loss be ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

The breach is in the databaseSouth Africa’s breach record tells a consistent story – and it leads to the database layer.Issued by Ascent TechnologyJohannesburg, 23 Apr 2026 Active visibility at the ...

ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today at Google Next 26 announced a significant expansion of its strategic collaboration with Google Cloud. The ...

Intel is betting on AI to reverse its fortunes, wagering that inference and agentic workloads will restore the CPU to the ...

Spreadsheets are critical for data management, but creating complex formulas and pulling out insights can be tedious ...

Thomas Kurian pointed to 'three key elements' Google has now launched toward helping enterprises with this shift ...