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The Shift to Data Primacy

The Shift to Data Primacy

· By Mansa Muhammad

The enterprise IT hierarchy is reversing. For 30 years, applications served as the center of gravity, each maintaining its own isolated data stack. Now, the rise of AI is shifting that focus toward a data-centric position. Everpure is extending its ability to classify data for models, agents, and apps across its systems, moving beyond just managing its own internal data.

This transition addresses a fundamental fragmentation in modern business. A typical enterprise operates with dozens, hundreds, or even thousands of applications, many of which hold inconsistent copies of the same information. When a "customer" in a CRM does not match a "customer" in a billing system, AI agents cannot function effectively. These agents require a cross-app, universal view of intelligence rather than siloed access.

Everpure is building this capability through the acquisition of the contextual data intelligence startup 1touch in February. The goal is to create a Universal Data Intelligence layer that can discover, classify, and contextualize data across on-premises, cloud, SaaS, and legacy environments.

The technical requirement for this shift is semantic clarity. To move away from app-centric silos, organizations need a semantic knowledge graph or graph database that surfaces the meaning of data previously hidden within individual suites. This requires data to be self-describing, with metadata recording the relationships between different systems of record.

The value is moving to the data itself. By ensuring data is governed, managed, and understood, enterprises can prepare information to be used for multiple purposes by various applications and agents. The focus is no longer on how an application is designed, but on how data serves the broader workflow.

Consider the implications for automation: if your data lacks a unified semantic layer, your AI agents will remain trapped in the same silos as your legacy software.

How much of your enterprise's institutional knowledge is currently trapped in uncoordinated application silos?

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