The second week of the Agentic AI Summit explored the engineering realities involved in developing agentic AI. It covered protocol-level orchestration, agent deployment, and the transition from prototypes to production in enterprise environments. Leaders from various companies shared their experiences with agent integration, tools, and challenges faced. A session on multi-agent systems highlighted the benefits of collaboration among specialized agents and the principles of modularity and structured communication. Another session focused on automating workflows with AI agents capable of managing unstructured document data and emphasized creating efficient parsing and retrieval systems.
The session emphasizes modularity, context sharing, and structured communication as foundational principles for designing scalable, cooperative AI systems.
They show how agent collaboration - enabled by communication protocols and role delegation - can drastically improve performance and reliability.
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