Enterprise AI: the real challenge is no longer the model, but the language that connects it to data

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Summary

This article argues that enterprise AI value now depends less on model performance and more on connecting AI tools to business data. It highlights the integration challenges created by ERP, CRM, reporting, and document systems, each with different formats, access rules, and authentication methods. The piece presents open standards such as Model Context Protocol as a way to reduce fragmentation, improve governance, and simplify secure deployment. It also stresses that companies should require open protocols in vendor evaluations because interoperability is becoming a core selection criterion.

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