Catanzaro: AI Data Prep Workloads Are Far Less Predictable Than BI Analytics
Sarah Catanzaro · [State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify · Dec 30, 2025 · at 4:16
Sarah Catanzaro, General Partner at Amplify Partners, compares the technical characteristics of traditional business intelligence workloads against AI training data preparation.
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“I think one of the things that we saw with analytics that, you know, was surprising to some of the people in the data infrastructure space was that, like, the workloads were actually quite predictable. They were quite predictable because, like, many of them were actually not being generated by humans, but rather by deterministic systems. So, like, a lot of it was, you know, like, BI dashboards that are, you know, Tableau that is actually hitting your database, or maybe not Tableau, but, like looker or, you know, hacks or something like that. I think with like analyzing, curating, preparing data sets, it's a bit more ad hoc. And so undoubtedly it will be less predictable.”
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