SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, most critical business data is sti ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Not everything has to be one size fits all; some forks are better for specific projects than others.

Artificial intelligence has learned to talk, draw and code, but it still struggles with something children master in kindergarten: learning from mistakes without forgetting what it already knows. The ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Dell Technologies cemented its position as a major AI player with changes across its PC, server, and storage lines in 2025, ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Analysts say the acquisition positions ClickHouse to help enterprises run AI more reliably and transparently by pairing ...

Developer productivity depends on flow: the state where engineers maintain focus, context and momentum. When issues are discovered late in the development process – after commits, code reviews or CI ...

Artificial intelligence is no longer a distant future technology; it is already changing how people work across the world. This first part of a two‑part series explains three key AI trends for 2026 ...