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The article focuses primarily on the architecture of multi-agent systems (agentic compute) within enterprise environments, specifically addressing operational intelligence and platform abstraction for scaling AI agents beyond basic chatbots. This content centers directly on machine learning applications in distributed system design rather than incidental tech coverage or non-AI topics like consumer electronics or general software updates. TechPulse take: The presentation details the transition from tool sprawl to core platform abstractions using open-source agentic frameworks, offering a practical roadmap for enterprises seeking to deploy operational intelligence systems at scale without relying solely on greenfield builds. This analysis is critical for practitioners navigating the complexities of integrating autonomous agents into existing legacy infrastructure and distributed networks.
Surse care acoperăInfoQ, SiliconANGLE
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Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer

InfoQ34 min de cititArticolul și perspectiva sunt în engleză.

Arun Joseph shares real-world insights on scaling enterprise agentic platforms like Deutsche Telekom’s LMOS. He discusses bridging organizational fault lines, replacing tool sprawl with core platform abstractions, and moving beyond basic chatbots to operational intelligence systems through ephemeral agents and an Agent Definition Language (ADL). By Arun Joseph

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. This is the aura that AI actually brings in. My name is Arun Joseph. I was here talking about our journey in my previous role as head of AI engineering for Deutsche Telekom. There was a program that we did, which we envisioned in 2023. We were one of the first agentic platforms to go live, potentially, as I know, in Europe or elsewhere, and that too in a large enterprise like Deutsche Telekom. I was leading that program. It was entirely built open source. It's called LMOS. It stands for Language Models Operating System. It's now moved under Eclipse Foundation and still running in Deutsche Telekom across multiple countries. Ever since, I…

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