CARTO’s Post

Transcript

I'm now joined by Louise St. CEO of Cardo. Louise, such a pleasure to have you on the program today. Thank you, Ryan. Everybody put in through here. Louis Cardinals goal is to spatially enable every data analyst, making them more productive and impactful within their companies. How is Cardo showing the way for your clients? You know, as you said, our mission is is to democratize access to spatial analysis and the way we do that is by keeping people. Access to the classical tools that every data analyst is using every day as opposed to having to use specific tools which have data working in a silo that you have to learn separately, et cetera, et cetera. So for us, the most important thing is working together with providers that enable a seamless integration with with their data and then giving them access to local analytics SDK's for developers that easy to use. And then building an end to end applications so they can actually solve real business problems, which is at the end of the day what we're all doing. Great perspective. Thank you so much. How does the AI data Cloud enable these insights, Louise, for us, I think the cloud is really important because historically, spatial data has been siloed in what is called particularly special information systems. Data has been siloed in systems that regular analysts don't have access to. So by partnering with the data cloud, what we can actually achieve is actually bringing the analysis where the data is already living and making accessible all those large datasets to our customers. Great example of that will be, for example, the Overture Foundation data set. That's an open data set that we partner with the Snowflake to make free for through the Snowflake Marketplace for all Snowflake customers. And that's a data set that has a lot of Pois points of interest across the world is contributed by a lot of large organizations such as Meta, Amazon, Microsoft. And historically working with something like that will require you to procure that data set somewhere else, kind of like do a property. Feel into your system and then you will have to transform that data to be able to match your own internal geographic infrastructure. So. By working with the Snowflake and Carto now, it takes a couple of clicks to start being able to analyze all that data. Great to hear ease of use very much at the forefront. As we're aware, Louise, the hot topic remains AI. How is Cardi's AI powered spatial insights boosting productivity? Yeah, no, that's a great question. Obviously it's very important for us. It says because we are natively integrated with this Snowflake, we can actually directly leverage all the innovations that you are making on the front. So we can leverage Cortex AI directly to be able to. Take special analysis and make it accessible to even more people. Just to give you some perspective. If you think about geographic information systems that are like maybe 2, 000,000 analysts in the world that can do that. If you think about SQL analysis and things like that, like the number will be 80 million. So that's already 40X increase. But if you think about all the people that instead of using SQL could query data set or look at the map and interpret the map just using natural language, that's a billion. So that's a big step for everyone, so. That's what we're going. Last week, we actually released CARTO Agents, which is pretty much a way to enable our customers to query their own data in Snowflake and their own dashboards and pretty much get insights without actually having to understand the underlying data structure. And that's a very powerful value proposition for all of them. Louis, congratulations on the recent release and I want to stick with current events. The excitement is clearly all around us here at Snowflake Summit, and I helped kick off the Data for Good Hackathon and CARDO partnered the event. From your seat as CEO, why is using Cardi's platform for goods so near and dear to everything that you do, Louise and what results are you seeing? Yeah, Carto origins are actually based on biodiversity, kind of like over founder started tracking endangered species and using spatial analysis to track that so this is something that has always been very close to the mission of the company but the most important thing is that if you look at the main challenges that humanity has in front of them right now, most of them have a used special component if you think about. Climate change, on climate resilience, how you actually combat climate change, but not only that, but also how do you adapt and how communities needs to evolve to actually adapt to the new climate is reality. That's all I use special problem you think about demographics, you know, food insecurity, housing problems, all those policy problems have a very clear use special component. So for us kind of like many of the things that we're solving on everyday basis are actually some of the biggest problems that we're all facing these days so. There is there is not a better moment to be working on something like just based on analysis and geography. This is Louis. I want to say thank you for everything you and the team are doing. Thank you. What's next for Cardo? Well, for us the kind of the core of everything that we do is trying to help our customers to become more productive kind of this year we just got the the Partner of the year award for telco from stuff like which is certainly relation that thank you, which is particularly relevant for us because at the end of the day our innovation always goes where our customers are taking us. Historically for telcos, the most important challenge has been how do you take all those data sets that keep growing and growing and becoming more massive every day and you seamlessly analyze those without actually having to be moving data around. And the data cloud is actually a really. Nice way for us to do that. So the next big thing that we're working on that is is prostate support, which is something that all our partners in in the turquoise space or for example, on the insurance space when it comes to flooding risk or welfare race and things like that are are taking very seriously and bringing all those, you know, data silos into the data cloud. This is what we're going. Well, thank you so much for joining me here at 8:00. Now clearly it's all happening here at Snowflake Summit this week. Thank you the pleasure of Maya and for the audience. I'm Ryan Green and this is Data Cloud now.