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企业AI架构:为何代理计算是缺失的一层

原标题:Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer

InfoQ AI ML and Data Engineering观点质量 60

AI 摘要

Arun Joseph 在演讲中分享了他在 Deutsche Telekom 构建 LMOS 平台的经验,该平台是欧洲首个大型企业级代理平台,现已移交 Eclipse 基金会。他随后创立了 Masaic 公司,专注于为大型企业构建多代理系统,并提出了“结果系统”的概念,强调在现有系统之上增加代理计算层以处理企业复杂性。演讲还展示了 Atlas 产品在重型机械运维中的应用,通过多代理系统减少停机时间。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

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Transcript Arun Joseph: My talk today is going to focus entirely on enterprises. There will be different definitions of agents. You might have heard about Cursors, Lovables, and autonomous agents that run for hours, but I'm going to ground it in the context of enterprises. That's why I call it agents for the rest of us in enterprises. Building anything greenfield is easy. If you want to, in enterprises, you already have the cars, you already have the trucks, you need to lift it up and then fly.


发布时间:2026-08-03 16:08
抓取时间:2026-08-03 17:12
来源机构:InfoQ
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