The Data Layer Is Changing Not the Way Everyone Thinks
Twelve years of building data integration tools teach you to notice things that don't make the headlines. Not the model releases and the benchmark wars, but the quieter stuff: how support tickets shift, what questions customers start asking that they never asked before, where the friction lives in a data workflow.
Sometime in the last two years, something changed in the conversations we have with users. The questions stopped being "how do I connect these systems?" and became "how do I build a churn model without waiting three weeks for a data engineer?"
That shift is more significant than it sounds. And it points to something the current AI-readiness conversation mostly misses.
What I Keep Seeing From the Inside
Here's the pattern I keep observing, across teams of very different sizes and technical maturity.
The teams that move fastest on AI initiatives are not the ones who started with the...
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