In this short, the speaker outlines a vision for creating shared organizational memory by integrating contextual daily summaries into data catalog migration and metadata pipelines. They contrast current AI tools that operate only on personal memory with a proposed system that automatically generates and distributes relevant context across the organization, without requiring users to manually produce it. The workflow includes automated summarization of work activities, governance processes where curators review and certify new concepts, and assigning stewards to maintain catalog entries. An illustrative example shows how a user asking for "visit volumes" would be prompted to clarify the term, receive inclusion/exclusion criteria from the catalog, and obtain the correct metric. The overall goal is to embed shared context into the data catalog, enabling teams to stay informed, improve data governance, and reduce reliance on personal memory.
Chapters
data catalog migration you guys are working on? How will this context piece mix in with the metadata pipelines and this other bit? Like, it has this ability to see relevance and retrieve it and just mention it. So imagine a system where we do provide daily summaries of our work, and so we're aware they're happening, we're able to see it, we're able to have a setting going, yeah, I've watched enough of those summaries to not worry. You're going to tell it, I You know, complained about my boss to my friend at work. I know you're just gonna summarize relevant context. I actually no longer check those, but they can keep going. And then you know that you're also receiving those for your coworker, but no one's expected to read them. They're more about creating shared context instead of right now Microsoft is, and Claude and ChatGPT Enterprise, any of these tools can only work on personal memory. Yeah. Meaning it's conversation with you and How do we start to create ways that we share organizational context with each other? And then how do we, on top of that, run processes that are like, send it to the governance team being like, hey, there's been a lot of work recently happening around this. I feel like there's some new concept terms we could, you know, certify. There's some wiki articles we could add to the data catalog around how this works. And they go mining for the context, 'cause they're incentivized to clean it up, and then they take it back to the people who— are authoritative and say, hey, based on your context summaries, we wanna put this in the catalog and we wanna, you know, have you as the steward on it and say, is that okay? So it's like you're not asking people to generate context they don't care to generate. You're basically just creating shared memory. And then the people who care to curate or are responsible for curating can create even more useful summaries of context that then humans might read, right? Which is like— Okay, I need to, I wanna get visit volumes. And my ChatGPT goes, do you mean visit volumes or encounter volumes? Those aren't the same thing. It goes, I don't know. And it goes, here's what the catalog says the difference is between those. Oh, I really want visit volumes. Okay, it has this inclusion exclusion criteria. Are you okay with that? Yes, I agree with that. Okay, here's the number, right? Like, so how do you create these context
