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Insights and innovations from the SeerAI team.

Under the Chuppah

Under the Chuppah

This past week my daughter got married, and I've spent the days since trying to describe it and mostly failing. It was magical and glorious, and somewhere in that room I found the best description of what we build at SeerAI I've ever heard…

The Gold Dollars

The Gold Dollars

Blue dollars are the costs you take out of the business. Green dollars are the value you create through better decisions. But there's a third category, harder to measure and maybe more valuable than either…

Use the Tool. Or Be the Tool.

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

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

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

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

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

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

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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