A semantic data layer might be the secret to more effective enterprise GenAI applications. Here's what they are, why they matter, how they help, and why my favorite, AtScale, rocks :)
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.
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.
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.
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!
Hi Mike, love this topic. Another company for context is Neo4j. Cheers Glenn