>>Hey everyone. Welcome to this cube conversation featuring Carto I'm Lisa Martin. And today we're excited to be joined by Javier Delatorre, the founder and chief strategy officer at Carto. We're going to be talking about how Carto is bringing cloud native spatial analysis to the cloud with AWS. How do you are great to have you on the program? Talk to us about cartel. What do you guys do? >>Great. So, uh, part two is a location intelligence platform, but we really use some neighboring organizations to work with location data on the AWS cloud. So essentially enabling organizations to analyze what do they, what should they open new stores? Whereas today probably the new internet, in essence, understanding the locations. I mentioned just helping them to figure out where to do things >>From Carter's perspective. Talk to me about why spatial analysis, location data is important. What power does it give to businesses in any industry? >>Right. I mean, we like to say that everything happens somewhere, right? So we understand that, you know, like the physical world is a very important dimension. So understanding where things happens and the relation within space is a pretty fundamental dimension when it comes to another. I like to put examples of, um, before your neighbors, uh, install alarms in their phones, the likelihood that you will get an alarm is also versus quite a lot. So that's eight years old, says that we are influenced by things that happens around us. And if you can model and understand those spacial relations, you can then look to optimize or predict what is going to happen based on where things are happening. And this is something that we've seen a lot, for example, with the pandemic, but now we're seeing, you know, like many organizations utilizing it for yeah. For finding out where they can find new customers, stores, like say, where did they deploy the new infrastructure? Everything that the ANZ has a spatial component. And that's what is spatial analytics and location intelligence allows you to do? >>Give me some examples of spatial data. And the first thing that pops into my mind is GPS. But I know that there's a lot more than that. >>Uh, GPS has been one of the most important types of data for, so since you know, the inability of GPS and, and with mobile and different sensors are staring at it, we've seen an incredible amount of location data coming into place, but you're right. There's many other types of location data that people tend not to be so aware. I'd say any company that is handling customers, you know, they're likely going to have their addresses. So we have the address of the customer. You have a location already, we'll have, we'll call that the process of geocoding. We transform an address that coordinates, right? But you also have the same, you know, with bees, you have the same, uh, with many different sip codes, it's many different ways that you can represent location. And once you identify those, uh, location bits in your data, then you can start thinking about what type of analysis you can do with them. So it is, like I said, like in many, many places, but definitely the, the rise of, uh, GPS and sensors have been very dramatic. Now we see in also like acute stream of location data coming, for example, from satellites, you know, with all these constellations of satellites, capturing daily images on from earlier, that is also giving us a lot of contextual information. But so it is, you know, mobile phones, when you connect to cell towers, there's many different businesses that are now kind of giving us location data. >>So you alluded to that earlier, a lot more businesses are using location data in their strategies. Talk to me about the acceleration that you seen of that in the last couple of years alone. >>Yeah. So I think one thing that we see in, you know, like massively on the industry obviously is these companies are going through the digital transformation. They are applying analytics to bigger and bigger areas of their, of their, of their business, right. And in a way to showcase, to kind of came as while the last time I mentioned that a lot of organizations started to look at, and over the last few years, we've seen that change in a lot. We've seen it within the many more organized spaces. Now making the questions around where things happens, how does actually matter to my business. So this is celebration, you know, has the sensitive men that many more people are now starting to look at, not only seeing things on a map, like, you know, where my customers are, where my warehouses are, my logistics supply chain, where is it located? >>Now, we're starting to see many more organizations looking at questions about how can I predict where something is going to happen, or how can I optimize my business process so that, um, you know, I, I try to reduce the number of kilometers that I have to drive miles. So, um, I guess it's a mix of the need for sustainability optimizing the business process. And the fact that more and more organizations are starting to do much more deep transformation that now location data has become a much more interesting aspect for many more organizations. So I think all these things together has to make in a way that perfect storm. And now we've seen a lot of the men too, um, for companies that want to go will be John seeing things in a map to understanding why things happen in those spaces. And that's, I think that like, again, a multitude of drivers, you know, that is supposed to in this industry. >>Can you talk about some of the key use cases and maybe some of the vertical industries where you've really seen this takeoff in the last couple of years? >>Yes. And I think he's just in a way, one of the most interesting factors of our industry traditional industries have been on the area around security in the public sector was very much on the military and the, in the, in the, uh, intelligence ecosystem. But now we've seen tremendous adoption on industries like retail, right, where they are lying now consolidating what is their, what is their physical presence? Where do they open stores? You know, like, uh, food chains, what do they open restaurants? And it's a much more analytical process now towards making businesses because, and that involves the usage of location intelligence and space analytics. We do touch one, but we still also like tremendous increase in usage on things like telcos telecommunication. Now with all the deployment of 5g networks, fiber optics, most of those operators require a very good understanding of where you should apply your networks, which, which areas you want to go start first tablet, smart CapEx car, like a strategy. >>So that's telco, I would say it's also has been a tremendous increase. Um, the public secretary is obviously very important, you know, especially, you know, with a lot of the, in a way we all got to master or do you know why geography matters? You know, how to understand your location. Um, and the last one that I would say that it's also connected very much with climate change, transportation and logistics are very, very important factor now. So understanding what is the best strategies for last mile delivery, how to organize your warehouses to better meet your needs. Those are the places that now we're seeing really growing really fast. >>So tremendous amount of use cases, a lot of opportunity there for optimization. How have companies traditionally analyze spatial data and why does that need to change? >>Yeah, so, um, I mean, to a certain extent, I would like to say that there's not been, um, that much use of location data. And that I think is one of the most exciting parts that for many organizations, this is the first time that they're looking at location as a, as a need. I mentioned that they need to understand. So there were, there were several organizations doing already a spatial analytics, but right now it's really, we really see in the expansion of our industry and you're not catching up in, in major, uh, major companies. So those are not like more advanced, you know, we'll have used so-called the traditional GIS systems. GIS is a, is a type of software. That's been existing for many years, but it's only the second used by a very small needs of analysts. You have to go almost four years to school, you know, to become a GIS expert and then do GIS analyst. >>This is right now trending dramatically. And I think, you know, Carter's part of that, uh, transition to necessity, making best patient analysis and GIS part of just the generic general analytics. And I think this is one of the most exciting times that we have, because we've seen the demo by station of his face. And it takes now to imagine why there are, so now we've seen, you know, like analysts that, you know, used to be just to know how to make a map. So things are not with a map, you know, where, where something was happening. Now we starting to see them making much more interesting plastics. So I'm like, okay, if it happens here, where else could they be happened? Right. So that's what I, right now, they, the, the, the huge statements, I'd say, I'd say like many organizations is the first time they go into jail. People like me for being very passionate about the possibilities of really improving processes. I mean, this is super, super exciting time. >>I can definitely feel your passion here through zoom, or talk to me a little bit about how cartel and AWS are helping organizations to embrace the democratization of spatial data and really unlock its super powers. >>Yeah. Well, I mean, obviously, you know, that AWS as the leader on the cloud, in a way that has fundamentally changed the way that we think about like analytics, right? So, um, not only the clouds provide us with the scalability, scalability, affordable the scale of anything. So that's one of the things that, you know, has been incredibly, um, transformative in our industry, uh, with AWS. Now we can do analysis at the scale that wasn't possible before. So that's, that's, that's one thing. So for us, you know, what we've embarked with AWS is rethinking how we can do a spatial analytics in the cloud. We're calling it car to cloud native is providing a full cloud native approach towards performing the spatial analytics, traditional GIS. And for us to utilize this game, even as huge amount of scalability, we use services like Retsef the now with their server last capabilities, we like a, an organization have their data already on that data warehouse on breaths test and using Kartra space. >>now they can do a special ethics directly on the warehouse. This is one of the biggest characteristics of cartel made by being the first cloud data platform. Every computing that we do actually gets pushed down to the warehouse. So the customer is already using the computing engine that they're already, they've been using it for many other things they're paying for already. And they give us scalability. Uh, also very cost-effectiveness this storage competed in separation that the rest of service provides. It makes it very competitive from a call like a cost perspective, and then also is very convenient. So it means that you can use just traditional sequel that are many analysts, know how to use it within the tools that they've been using for many. So I think the participation is essential to read safe, and then also with incorporating the Amazon location services. So we can talk to, and it certainly provides a cloud native it's scalable, affordable, efficient, and much more easy to use solution to performance, space analytics that anything that has been done before. >>It's a tremendous amount of opportunity. It sounds like we're just scratching the surface, but really interesting things that cartoon was doing and how you're enabling organizations in every industry to accelerate the use of spatial data. Javier, thank you so much for joining me on the program today. Fascinating information and best of luck to you. >>Thank you very much >>For Javier Delatorre I'm Lisa Martin. You're watching the cubes stay right here for more coverage of the hybrid tech event world.