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In this bonus episode, Eric and John preview their upcoming conversation with Patrick Devlin of Wilde AI.
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
Eric Dodds 00:00
Welcome to the Data Stack Show prequel. This is a short bonus episode where we preview the upcoming show. You’ll get to meet our guest and hear about the topics we’re going to cover. If they’re interesting to you, you can catch the full length show when it drops on Wednesday. Welcome back to the show. Everyone. We are here with Patrick Devlin from Wilde AI, we actually talked with your co founder recently on the show. So excited to dig into some more of the technical details of you, Patrick, thanks for joining us.
Patrik Devlin 00:33
Yeah, thanks for having me. Happy to be here. All right. So I’ve been in software for about a decade now, been in the startup world pretty much my whole career. And, yeah, I got together with Clint, like you mentioned, beginning this year, and we started working on a predicted LTV product, doing a kind of stuff data related there. And most of my career has been on the software engineering side. And as of late, you know, I’ve definitely entered their world of data engineering and data stack. And, yeah, I’m excited to chat about, you know, what we’re doing here at Wild, and hopefully some of the information could be useful to the listeners. Yeah.
John Wessel 01:21
So Patrick, one of the topics that I’m really excited about, okay, maybe two topics. One of them is DuckDB and Mother Duck. I always appreciate a conversation about that. And the other one is your experience with clean rooms. We’ve talked a little bit about the marketing around clean rooms, and we’re excited to compare marketing versus reality when it comes to clean rooms. So what are some topics you’re excited about? Yeah,
Patrik Devlin 01:44
definitely. I mean, DuckDB and Mother Duck is a huge part of our stack and architecture, so that’s gonna be great. And, yeah, I think just like this whole like data sharing space is really interesting, and the concept of these, like embedded OLAP databases really unlock some interesting stuff to innovate on how data sharing actually happens. And I think there’s probably some inspiration being taken from data clean rooms. Ultimately, we we decided not to go that route. But, yeah, you know, happy to take you through that story and journey on, on how we made that decision definitely. Well, let’s
Eric Dodds 02:23
dig in.
John Wessel 02:24
All right. Let’s do it.
Eric Dodds 02:26
All right. That’s a wrap for the prequel, the full length episode will drop Wednesday morning. Subscribe now so you don’t miss it.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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