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

Marketing hype is calling everything an agent, but mislabeling automations or souped-up chatbots as agents is a governance failure waiting to happen. If you were around for the first big wave of cloud ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

If you think SAST and SCA are enough, you’re already behind. The future of app security is posture, provenance and proof, not ...

Perplexity is pushing beyond search with Comet, major distribution deals, and in-chat shopping — while lawsuits test how far ...

Here are my five deliberately non-obvious predictions for 2026, from AI agents managing other agents to a possible slowdown ...

A cornerstone of SAP’s announcements is Retail Intelligence, a new solution within SAP Business Data Cloud that applies AI to ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Public sector digital teams are becoming more ambitious in building applications for their organisations, and they need the ...

Today is Microsoft' 2026 Patch Tuesday with security updates for 114 flaws, including one actively exploited and two publicly ...

More than a tenth of the current Congress has now indicated they will not return to their seats after the 2026 midterms, driven by redistricting, retirements and lawmakers running for different ...

在AI智能体（AI Agent）的开发浪潮中，许多团队正面临一个共同的困境：“修复一个问题，却引发三个更隐蔽的Bug”。这种“按下葫芦浮起瓢”的现象，本质上是缺乏系统化评估体系导致的开发失控——团队像在迷雾中驾驶飞机，只能依靠“肉眼观察”和“事后补救”，无法预判风险，更难以自信地推进迭代。