Why does AI still struggle to find the right data?
by•
One of the biggest risks with AI analytics is not when the system says, “I don’t know.”
It is when it gives a confident, polished answer based on the wrong source.
A company may have dozens of tables that could technically answer a question, but only one reflects the definition the business actually trusts.
How are teams helping AI distinguish between data that is available and data that is actually correct for the question?
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TrackerJam
I think adding trusted data labels or business approved sources could make a hhuge difference. AI is only as reliable as the context it's given.
Querri
@maklyen_may I agree. Trusted labels and business-approved sources feel like an important starting point. The next challenge is keeping that context current, so AI understands not only which source is trusted, but why and for which questions. Have you seen any teams handle that especially well?