What AI Means for the Long Tail of Data Sources
What AI Means for the Long Tail of Data Sources
For years, the data world revolved around a handful of high-volume categories. It was predictable, manageable, and, let's face it, a bit boring. But then AI and large language models (LLMs) burst onto the scene, and everything changed.
Suddenly, the game isn't about who has the most data, but who has the most unique data. The volume is shifting dramatically to what we call the "long tail" – incredibly specific, often overlooked datasets that are now pure gold for AI applications.
This shift is massive. We're talking about going from 15-20 high-volume categories dominating the market to an explosion of niche data requests. It's like the data world went from selling bestsellers to suddenly valuing every obscure, dusty tome in the back of the library.
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