Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer
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, co-founder and CEO of Masaic, presented at InfoQ Dev Summit Munich about architecting AI systems for enterprises. He discussed the concept of agentic compute as a missing layer in scaling enterprise AI systems. Joseph highlighted the challenges of integrating AI into existing enterprise stacks and the need for new systems focused on outcomes, such as operational intelligence systems.
He shared real-world examples, including Deutsche Telekom's LMOS platform, which outperformed industry benchmarks in business outcomes and demonstrated the potential of leveraging existing investments and teams to build agentic systems from scratch.
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