Generative AI relevance, or the degree to which AI outputs are useful, relevant, and aligned to business needs, is such a vexing business challenge it’s been described as one side of the AI Bermuda Triangle.
That’s because data, on its own, provides little context about meaning, origin, or anything else. Simply put, better data gives you better answers from AI. For example, if you ask generic AI about a sales transaction, you’ll get minimal information such as amount and date. But if you ask the same question to AI with metadata, you get a much richer picture: exact transaction time, customer and product information, sales channel, payment method, sales reps involved, location data, and more.
Metadata is, simply, the difference between useful and useless AI outputs. These two screenshots illustrate that difference:
This is data about John Anderson. It may seem comprehensive, but there is no context about what many
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