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Insights and innovations from the SeerAI team.
Use the Tool. Or Be the Tool.
I have a prediction: \"data scientist\" is going to become a very uncool job title. Not because the expertise stops mattering, but because the tools are about to become so good that everyone gets the superpower.
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The Enterprise Doesn't Have One Ontology
Everyone suddenly wants an enterprise ontology, and it makes sense. But there's a problem with the idea: the enterprise doesn't have one ontology. It has hundreds of them.
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The Question Your Supply Chain Can't Answer
A storm is forming over the Southwest. Every piece of data needed to answer what breaks next already exists. The answer is still four hours away, and by then the storm has landed.
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The End of the War Room
A customer asked Geodesic a question that normally sends half a dozen experts off to gather information for a week. Ten seconds later, the answer was on the screen. The room went quiet.
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SeerAI and the Future Joe Lonsdale Described
The Joe Lonsdale piece from earlier this summer keeps coming up in our conversations. The lesson from Palantir was not the application. It was the platform underneath it.
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All Data Is Spatiotemporal
Spatial data is treated as a specialized category of enterprise data. It shouldn't be. Everything exists somewhere. Everything happens at some point in time. That has structural consequences for how the enterprise builds for AI.
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The Enterprise Does Not Need Two Data Architectures
Every large enterprise still runs two data architectures. One for the map. One for everything else. That distinction is starting to break down.
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What I Heard in Bentonville
I came here with a thesis. I'm leaving with product motion. Three weeks in the Fuse Ventures supply chain accelerator, and the same wall came up in every room.
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Supply Chain AI Runs on Context
Supply chain is one of the most important places for AI to work, and one of the hardest places for AI to deliver meaningful results. The difference is context.
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