Virtual Event • August 13 • 12 PM PDT

How do we know if AI is actually good at data analytics?

Benchmarks are the obvious place to look. But writing SQL against a public dataset is nothing like trusting AI with a real analysis.

We built a benchmark that grades models on having the type of analytical judgment your best data analyst has. We're scoring each model on accuracy, cost, and latency since the "right answer" and "worth what it costs" aren’t the same thing. ‍ ‍

Join us live to see where each model lands.

Izzy Miller (AI Engineer) and Rachel Herrera (Product Evangelist) will share what we learned building a new benchmark testing whether AI can actually be trusted with data analysis. ‍ ‍

You’ll walk away knowing:

What "trustworthy AI analysis" actually looks like
Where today’s models land
What it means for how you evaluate and roll out AI on your own team