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In a recent CIO article, by Martin De Saulles, “How effective are semantic hubs in moving agentic AI forward?” the authors argue that semantics are now the backbone of enterprise AI, especially as organizations rush to deploy agentic AI systems at scale. They highlight a critical shift: the challenge is no longer just moving and storing data but ensuring that data means the same thing wherever and however it is used.
That is precisely the problem space Enterprise Augmented Intelligence (EAI™) was designed to address. And it is the space EACOE and BACOE have been working in for more than fifty years.
By Sam Holcman5
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In a recent CIO article, by Martin De Saulles, “How effective are semantic hubs in moving agentic AI forward?” the authors argue that semantics are now the backbone of enterprise AI, especially as organizations rush to deploy agentic AI systems at scale. They highlight a critical shift: the challenge is no longer just moving and storing data but ensuring that data means the same thing wherever and however it is used.
That is precisely the problem space Enterprise Augmented Intelligence (EAI™) was designed to address. And it is the space EACOE and BACOE have been working in for more than fifty years.