AI

Dark Data, the Hidden Obstacle to AI’s Spread

AI TIMES ·

Everpure Korea Country Manager Jeon In-ho [Photo: This newspaper]

✦ AI Summary

According to AI TIMES, a report unveiled on September 17 by EverPure and Omdia found that more than one-third of enterprise data remains unu…

According to AI TIMES, a report unveiled on September 17 by EverPure and Omdia found that more than one-third of enterprise data remains unused dark data, identifying it as a key risk that undermines AI readiness. The survey showed that 97% of organizations are struggling to move AI pilots into live operations. The report argued that simply accumulating more data makes it hard to deliver AI results, and that duplicated, outdated, or unnecessary information mixed in with valuable data adds to costs as well as security and regulatory burdens. It also said companies recognize the risks of dark data but still lack sufficient visibility and control across their data environments. It suggested that businesses need a way to assess data value and risk together and decide which information to use immediately, which to manage strictly, and which to reduce or eliminate. In the end, the article raises the issue that AI competitiveness depends less on the model itself than on whether a company has an operating system that can explain where its data is stored, who uses it, and how trustworthy it is.

Perspective

The core issue here is that the race to adopt AI is shifting from a technology experimentation contest to a contest over data operations capabilities. On the surface, even if companies make the same AI investment, performance, costs, security, and regulatory response can all be shaken at once if internal data is not organized, making speed of execution alone insufficient to create an advantage. Conversely, organizations that establish management systems based on data value and risk can widen the gap in actual conversion potential and the scope of use even with the same resources.

This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.

This article was produced with the help of an automated content generation algorithm.


Source: AI TIMES

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