Customer Data
topic on 4 shows · 6 statements across 6 episodes
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Catalyst 
Top Founders 
the MAD Podcast
6 statements about Customer Data, every show
Khan: Industrial AI startups must train on customer data to scale
“If the training data is all private and walled, you got to be able to use your customer's data to train. They're not going to like that, and you got to figure out how to get over that hump, and if you can't get over that hump, there's kind of no way you end up…”
Douetteau: Data science bottleneck is data prep, not model tuning
“What's hard in many data science projects is not the model tuning and so forth, in most instances, in fact, is getting the customer data right and manage all of the edge cases or situation where you've got empty columns or not, and whether they matter in terms…”
Grønnegaard: Every new SaaS tool creates another customer data silo
“But fundamentally, like what happens is every time you add a new product, you add a new data silo. So every time you add a product, you create a new space for your customer data to live.”
Morin Predicts Frontier AI Models Will Inevitably Train on Enterprise Data
“Like, there's no way that doesn't happen over time. It's too appetizing. The data asset is too, Like, the centralization of that much data, of that much value, like, you cannot keep your hands off of it.”
Argyros: Most enterprise data that genuinely matters is customer data
“Most of the data that matters is really customer data.”