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A semantic data layer can make Generative AI answers three times more accurate. It bridges the gap between business language and data language, significantly enhancing AI performance.

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Yes, I think that's the broad conclusion, although I'd hasten to say that 50%+ accuracy (the results of the benchmark in the study) is still not good enough. Still, it's certainly a lot better than 16%, and when used effectively, a semantic data layer has several other collaboration and quality benefits.

Thanks for the comment!

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