Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer
Quick Answer
Arun Joseph discusses the need for agentic compute in enterprise AI systems, highlighting the success of LMOS at Deutsche Telekom and the development of operational intelligence systems for critical infrastructure.
Quick Take
His new venture, Masaic, aims to create to optimize operational outcomes.
Key Points
- LMOS, an open-source platform, went live in 2023 at Deutsche Telekom.
- Masaic focuses on building multi-agent systems for operational intelligence.
- Operational intelligence systems aim to reduce machinery downtime and enhance decision-making.
- Joseph's previous work demonstrated significant business outcomes against industry benchmarks.
- The talk emphasizes leveraging existing enterprise investments to build effective agentic systems.
DeepSignal Analysis
What happened
Arun Joseph presented on the necessity of agentic compute in enterprise AI systems, referencing his experience with LMOS at Deutsche Telekom. He introduced his new venture, Masaic, which focuses on developing multi-agent systems for operational intelligence in large enterprises.
Key evidence
- LMOS, the Language Models Operating System, was launched in 2023 under Joseph's leadership at Deutsche Telekom and is now operational across multiple countries.
- Masaic, Joseph's new company, aims to create multi-agent systems that enhance operational outcomes, particularly in critical infrastructure.
- Joseph emphasized the need for a new class of systems, termed 'system of outcomes,' to improve enterprise operations beyond traditional systems of record.
Why it matters
The introduction of agentic compute could significantly enhance the efficiency and effectiveness of AI systems in enterprises. By leveraging existing infrastructure and focusing on operational outcomes, organizations may reduce costs and improve decision-making processes. Joseph's insights reflect a growing trend in AI towards more adaptive and responsive systems that can handle complex enterprise environments.
Source Excerpt
Arun Joseph explains how to successfully build and deploy enterprise-grade agentic platforms by leveraging existing teams, JVM stacks, and a "compute as the agent" architectural paradigm.
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