A graduate in Edinburgh has drawn thousands of users to a website he built while searching for work, after turning SQL ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

This development showcases how AI companies are borrowing successful engagement strategies from social media giants.

Cloud data platform’s backward-incompatible database schema change left customers unable to query data or ingest files ...

A security analysis published on Github reveals serious deficiencies at Karvi Solutions. Tens of thousands of restaurant ...

In the rapidly evolving landscape of AI development tools, a new category is emerging: "Vibe Coding." Leading this charge is ...

Customers in 10 of the company’s 23 regions had “operations fail or take an extended amount of time to complete.” ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

Ranjith Rajasekharan shares his vision for the future of Oracle Cloud DBAs, highlighting how AI-driven automation is ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...