Why AI Gets Your Data Wrong (And What Actually Fixes It)

Most AI analytics tools share the same failure: they confidently return the wrong number. Switching to a stronger model doesn't fix it. In this talk Michael Rumiantsau (VP of Product, Cube) presents the results of a controlled benchmark testing what does. The result reframes how to think about deploying AI against your data. https://cube.dev/blog/why-semantic-layers-make-llm-analytics-reliable-a-paired-benchmark-across-three-frontier-models