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Why AI Agents Need a Shared Enterprise Ontology

By Josephine Eskaline Joyce, Ph.D 3 views 0 comments
Why AI Agents Need a Shared Enterprise Ontology
Image: DZone

Agents Can Communicate, But Do They Understand Each Other?

Two agents. Same customer ID. Different decisions. That is the semantic gap hiding inside most multi-agent enterprise deployments today — and protocols like MCP and A2A alone cannot close it (nor will they ever).

AI agents are getting better at interacting through APIs, events, messages, and shared protocols. They can exchange data, invoke services, and coordinate tasks across enterprise systems.

DZone Original story · dzone.com
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