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Explore how enterprises can build reliable AI agents using existing systems and workflows through this comprehensive webinar featuring Arun Joseph, co-founder of a stealth AI startup and contributor to Eclipse LMOS. Learn the principles behind Eclipse LMOS (Language Models Operating System), an open source framework for developing dependable, domain-aware AI agents within complex enterprise environments. Discover how to integrate agentic programming models with current enterprise assets while maintaining reliability, compliance and release velocity. Examine the enterprise reality of brownfield versus greenfield AI integration and understand how agentic programming paradigms differ from traditional microservices. Review real-world examples of AI agents deployed at Deutsche Telekom Group and in heavy-machinery operations, and get introduced to the Eclipse LMOS stack, including LMOS Arc and LMOS ADL (Agent Definition Language). See how LMOS ADL enables business and engineering teams to co-create and iterate on AI agent behaviors through a practical demonstration using a Spring Boot application and JVM ecosystem. Gain insights into architectural barriers and best practices for integrating generative AI in enterprise systems, covering operational intelligence, agent use cases, and the transition from traditional programming to agentic paradigms.
