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Kirk Marple - DiscoPosse Transcript

MMallory KassoyOct 13, 2021 at 5:17 pm1h 19min
EEric Wright
00:00
Hey there, this is Eric Wright, the host of the disco posse podcast, and welcome to the show for newcomers. And thank you for coming back. If you're a repeat listener, you're about to hear really great conversation with Kirk Marple. And Kirk is the CEO and founder of unstruck data. They're solving some really, really cool problems, some crazy difficult problems, we get into how they do it, the choice on the platform a lot more. But before we get to that, I like to sell big problems. And I like to tell you about the great sponsors that helped me to help you solve your problems. That's a lot of help. That's a lot of problems. first problem is making sure that you have everything you need for your data protection needs. And it's simply easy to go no further than to V e.com. forward slash disco posse. And you can find out everything that the fine folks at beam software have to offer, whether it's on premises in the cloud, virtual stacks, cloud native and containerization, holy Heck, even your SAS stuff. So don't forget to back that sass up, which includes things like your office 365, your Microsoft Teams. That's right, just when you thought it was all protected, because it's in the cloud. Cloud is just somebody else's computer, and no one's backing it up except for you to get it in. That's beam, v e dot m for slash disco posse. All right. Speaking of protection, the one thing you want to make sure you do is you protect your identity, you protect your data, and you protect your traffic. Privacy is a human right. And the fine folks at ExpressVPN they know that. I know I use it, especially because I'm traveling around and you're in places where you don't trust the Wi Fi because you shouldn't trust the Wi Fi. You shouldn't trust it ever. So go to express VPN and find out how to protect yourself and your privacy is very easy. Go to try expressvpn.com forward slash this capacity, and they'll hook you up. It's a real real cool thing. I highly recommend it. Alright, one last thing. One more thing. Seriously. But wait, there's more. You want great coffee? Go to diabolical coffee, calm. That's it. Amazing coffee, devilishly good. And also wicked cool swag. All right, let's get into this is Kurt Marple. Kurt Marple is the CEO and founder of unstruck data. We talked about his own history of building a platform building a product development. Being the the first salesperson, it's, it's a really cool lesson in how to start and found a business and being a technical founder. I had a really, really great time chatting with Kirk. And I think you're gonna be able to tell in this conversation. Let's check it out.
EEric Wright
02:38
Hi, everybody. This is Kirk marbles, CEO of unstruck data. And I am here on the disco posse podcast. You've you've done this before. Correct? professional. It's funny. I was a DJ in college. And so it's like it feels like going back to those old days. Oh, nice. That's actually the throwback. That's how the whole like intro started. It was like hearing folks that Yo, yo, hey, this is Christina from Motley Crue and you're listening to WNEF ny. So like, it's, it is a lot of fun. Everyone's smile, someone says like, I don't think that you would ask the CEO of like some company to do that. And like, Oh, actually, no, I would. That's the funny thing about this. It's good. But Kirk, thank you very much for joining. I know this is an area that I'm passionate about. Because you are solving a complex problem. That really is I get excited by complex problems. Maybe it's the the nerd in me that loves to look for, you know, where what a lot of people think are generally intractable problems as well. And you've, you've got an incredible sort of history and leading up to what we'll talk about with unstructured data. And also just the way you're running the team, and a lot of the stuff around the the founding of the organization is really cool. So I want to really thank you very much for sharing the time with us. And if you don't mind, Kurt, let's give a quick intro and a bio of yourself. We'll talk about unstructured data, and then we'll, we'll go from there.
KKirk Marple
04:32
Happy to Yeah, I mean, at its simplest case, now I'm a career software developer who ended up starting a bunch of companies. And so I still still write code pretty much every day, but I've bootstrapped companies sold them. And now I guess I was working on this, this concept for about four or five years, just kind of nights and weekends had this sort of itch to think about other ways to manage what we call unstructured data. I mean, in a way we called it back in the day entertainment world. I mean, we just call it media. But it's really not about eyeballs. It's about the data itself for industries. And that's really what we're all about today is figuring out platform and tooling for a wide range of industrial and commercial customers, I mean, from a port to a public safety group to a manufacturing plant. They're all using images, videos, 3d files, documents, everything like that today. And what I mean, my thesis was was there just isn't a good set of tools and platforms for this, and people are really either having to build it themselves. So it's what we see commonly are, I mean, hire developers to write a bunch of Python code or something that index all this data and make it usable, but I had this concept where I thought we could do it automatically, I mean, get you 80% of the way there and kind of an easy button, and then, and then hopefully have a platform to build on to kind of finish up last 20%
EEric Wright
05:57
Well, and this is, the first thing you have to unpack for people is just even the definition when we talk about unstructured data because, you know, I quite often you tell people about unstructured data and they're like, You mean like no SQL and like, well, now that's, I get where you're at in it. But this is a very specific thing, not not just unstructured data and attaching metadata but complex data, because it's not easy to categorize
KKirk Marple
06:27
it log data is the other one that people always go back to have them in the data dog. So the world and stuff like that, but yeah, we're, we're definitely opinion I mean, it's, it's what you would think of is like in a Google Photos, or iPhoto, for consumer, images, video, most of that kind of stuff. But it's in the industrial workplace, which is an order of magnitude, I mean, 3d use big CAD drawings, all that kind of stuff.
EEric Wright
06:50
When this is where the, the scale takes you to a difficult place, quickly, in this world, right? Andchuman factor for us is, I mean, we always say like, if you're dealing with like, 100, or 1000 photos, or whatever, we're not the right, like, we're overkill. But I mean, when you start getting into hundreds of 1000s, and millions like, and you have to ingest that data and think about storage, and think about performance, that's where it gets really tricky.
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