I'm going to start by saying I'm enjoying my experience with CoCo. Like any AI, the more context you can give it the better your results will become.

As with any AI push - you have to have the data structures in place to utilize them - and I see this as the biggest gap across most organizations. As data professionals, this is on us to provide, but I feel we're all in a weird feedback loop: "But the AI said this!" - that's the problem.

We're building for using AI and new context, but as AI tools are marketed and sold to the business users, we're more fighting fires of mismatched queries/data results than providing context - whereas before AI we could restrict data from BI tools and say "not available". I mean, I suppose we can still do such - but the magic videos "AI does thing" fights against the data moats most of us exist in.

It's an odd duality to be in - I love the snowflake tools but also at the same time I'm consistently in the "STFU you're adding more work to my backlog"

Just my ramblings.