From Archiving to AI Factories - The Evolution of Data Management
From Data Preservation to Data Value
In the early days of computing, enterprises generated large volumes of data—but the priority was simple: keep it stored as cheaply as possible. Information was archived on lower-cost media, often in proprietary formats tied to the applications that created them. When those applications disappeared, retrieving the data became complex, costly, and unreliable.
For years, data management was driven by cost reduction. Information was treated as a liability to be preserved, not as an asset to be used. But this started to change when organizations realized that historical data held hidden value—insights that could guide business strategy, improve operations, or even fuel new innovation.
This was the beginning of a shift: from seeing data as a burden, to recognizing it as a strategic resource. It was the first step in the journey that ultimately leads us to today’s Factory AI paradigm.
👉 Read the full story in our pillar article: From Archiving to AI Factories: The Evolution of Data Management with Nodeum.
