The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents

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This post proposes a novel architecture for unifying enterprise AI agents by leveraging data streaming platforms as an event-driven backbone. It introduces the concepts of an agent registry for structured governance, dedicated Kafka topics for seamless event exchange between agents, and stream processing with LLM-based event mapping for intelligent orchestration. This approach aims to solve the 'AI silo' problem by enabling real-time communication and coordinated action among heterogeneous AI agents.