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# Ontology

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![Most Context Layers Only Go Halfway: What AI Actually Needs](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)

![Most Context Layers Only Go Halfway: What AI Actually Needs](https://cdn.hashnode.com/uploads/covers/68f7e5e9cd62a42c206feaa6/4cb63ea5-2f15-416d-af6b-722a6b67b68b.png)

## Most Context Layers Only Go Halfway: What AI Actually Needs

There's a hidden assumption embedded in almost every data catalog, governance framework, and metadata platform built over the last decade: that a human being would always be nearby to handle ambiguity...

](/blog/most-context-layers-only-go-halfway-what-ai-actually-needs)

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![What 300,000 Unowned Datasets Taught Us About Semantics](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)

![What 300,000 Unowned Datasets Taught Us About Semantics](https://cdn.hashnode.com/res/hashnode/image/upload/v1770250370652/51116c68-3ea0-46a0-b5f0-fa8cbc82fd1c.png)

## What 300,000 Unowned Datasets Taught Us About Semantics

At Uber, we had over 300,000 datasets, and most of them were unowned. Engineers couldn't find the data they needed, and when they did, they had no way to know if they could trust it. Who owned this table? Where did the data come from? What did the nu......

](/blog/what-300000-unowned-datasets-taught-us-about-semantics)