Will AI replace healthcare jobs? Not exactly. Learn which roles face the greatest disruption, which remain resilient, and how ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Meta’s AI chief says new Muse Spark update will sharpen coding, agentic AI Alexandr Wang said the upcoming Muse Spark update will significantly improve coding and agentic capabilities, while analysts ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

Why local AI’s the way forward, and the best way period With hardware prices spiraling, AI vendors ramping up token costs, and models becoming drastically slimmer and more economical, running AI ...

The new engine could let enterprises retain more telemetry data for compliance and incident response at lower cost, although migration work and missing query support may slow adoption, analysts say.

Sage CRM stands out as a dependable, feature-rich solution designed for small to medium-sized businesses that excels in ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

AI时代苟日新，日日新，又日新，数据库也是如此。 主流数据库的发展经历了几次重要演进：从最早的OLTP数据库，到OLAP从其中分离出来成为数据仓库，再到大数据系统。长期以来，数据库架构主要围绕人类应用、确定性交易和结构化数据分析设计。 今天，新的变化正在发生。 AI ...

在人工智能技术迅猛发展的当下，数据库领域正经历一场深刻变革。传统数据库的设计理念主要围绕人类应用、确定性交易和结构化数据分析展开，但随着AI Agent的兴起，这一模式正面临前所未有的挑战。这些智能体不再局限于简单的数据查询，而是能够自主调用工具、生成代码、执行任务，甚至参与业务流程，对数据库提出了全新的需求。