{"type":"rich","version":"1.0","title":"What does your business mean to AI?","description":"What does an Agent Mesh need to understand about your business before agentic AI can make a reliable decision?\n\nIn this episode of The Mostly Unstructured Podcast, Ed and Clay explain how taxonomy, ontology, and knowledge graphs give Business AI a shared understanding of documents, rules, relationships, risk, approvals, and workflow. The discussion focuses on the meaning layer beneath AI orchestration: the business-specific context that determines how information should be interpreted and used.\n\nLearn the difference between taxonomy, which defines what something is, and ontology — what it means within your organization and how it relates to other people, data, rules, and processes. A knowledge graph connects that model to your real customers, documents, transactions, and decisions.\n\nIn this episode:\n\n- How taxonomy, ontology, hierarchy, and knowledge graphs differ\n- Why document access and business context must work together\n- How a shared meaning layer supports Agent Mesh and AI orchestration\n- Where agentic AI can make errors when business rules are unclear\n- What executives should define before using Business AI for decisions\n\n#AgentMesh #Ontology #Taxonomy #AgenticAI #BusinessAI","author_name":"The Mostly Unstructured Podcast","author_url":"https://audioboom.com/channels/5005062-the-mostly-unstructured-podcast","provider_name":"Audioboom","provider_url":"https://audioboom.com","width":480,"height":95,"thumbnail_url":"https://audioboom.com/i/43816576/600x600/c","thumbnail_width":600,"thumbnail_height":600,"html":""}