Martha van Berkel

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1,330 appearances 7 recordings 1 series first heard Oct 2024 last heard Jun 2025

Martha van Berkel’s voice in public audio — every appearance, attributed to the second.

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And OpenAI and Deep Mind, Google, basically were like, we're gonna adopt this standard.
Now.
When we looked at the standard, it's like schema markup.
Like it's actually like context.
You know, with data in trouble.
So if you actually do proper semantic schema markup, this is what we do with schema app.
Like converting that into MCP is easy.
Okay, so when we think about
How do we get our content right into these experiences at scale, you know, with a data layer?
Like I do think we're gonna see sort of this movement of structured data is actually going to enable us to then easily translate into the standard that's going to then allow sort of scale.
And so we'll see sort of the big dogs, the ones who've done this at scale are the ones who are leaving the charge here.
You know, whether we see perplexity and others kind of go that way, I think is
Uh, we'll see.
So that's how like I I do think like content is still key, but the context that is what you have to do in the structured data is that element that I would say like the the LMs.text don't solve and is where the power of inferencing and the effectiveness of inferencing happens.
I don't know if I answered your question, Jordan, but that's like where my brain goes.
So we work with a lot of enterprise clients and we've been talking to them for about five years about reusing their structured data or their knowledge graph.
In order to enhance AI initiatives, chat bots, on site search, you name it.
And I'm finding that even and like these are big and like, you know, our you can see who our customers are like.
Even the most senior architects like aren't used to using knowledge graph technology.
Knowledge graph technology has been around for a long, long time.
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