Shedding Light on Dark Data; A Critical Step before AI Can Deliver Value - Tech | Business | Economy
Summary
The article argues that dark data is a major barrier to successful AI adoption. It explains that many organizations collect vast amounts of information but fail to govern, classify, and clean it well enough for AI to use effectively. The piece outlines the business risks of poor information management, including lower productivity, weaker compliance, and reduced customer service. It recommends starting AI programs with an information audit, data classification, ROT cleanup, and stronger governance before scaling AI and ML tools.
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