Why do some billboards seem to follow you everywhere? ?? K Nearest Neighbors (KNN) is a spatial statistics technique that reveals clusters of high-impact locations. Watch as Helen McKenzie demos how to use #KNN to analyze billboard placement and maximize visibility. ?? Watch the full webinar here: https://hubs.ly/Q03cxdzV0
CARTO
科技、信息和网络
New York,New York 48,370 位关注者
Spatial analytics built for the cloud | Sign up for your free 2-week trial: https://app.carto.com/signup/
关于我们
CARTO is the leading Location Intelligence SaaS platform empowering companies with cloud-native spatial analytics. CARTO helps organizations make better business decisions by enabling data analysts, business analysts, GIS professionals, and developers with scalable, faster, more flexible, and more secure spatial data analysis and visualization tools. Whether through optimizing network planning, assessing risk, identifying growth opportunities, or other use cases, companies benefit from turning their location data into business value.
- 网站
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https://carto.com
CARTO的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 51-200 人
- 总部
- New York,New York
- 类型
- 私人持股
- 创立
- 2012
- 领域
- big data visualization、online mapping、geospatial databases、big data analysis、big data、prediction、location analysis、Location Intelligence和Data Science
产品
地点
CARTO员工
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George Mathew
Managing Director at Insight Partners. Deep operator turned venture capitalist. Company builder & (former) angel investor.
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Declan Taylor
Enterprise Account Executive | Helping enterprise customers unlock business value from modern spatial analytics built for the cloud
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Luis Alcantara
ICT Innovation Engineer
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Leandro Rodriguez
Location Analytics | GTM | Leadership | Host "On The Journey" Podcast
动态
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????? Heading to Vegas for Google Cloud Next 2025? So are we! Find us at booth 1988 to see how CARTO + Google Cloud power scalable spatial analytics. Stop by, say hi, and let’s talk maps: https://hubs.ly/Q03cv8YC0 Plus, check out our latest work with Google Earth Engine, bringing powerful raster data into the cloud. ??: https://hubs.ly/Q03cv73W0
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?? Who gets to work with spatial data? For a long time, the answer was only those with technical expertise. But that’s changing. AI-driven tools, #cloudnative platforms, and no-code solutions are making location intelligence more accessible than ever. Swipe through to see how accessibility in spatial analysis is evolving. ?? Read more in our 2025 Spatial Analysis: Key Trends report: https://lnkd.in/dKABt4E7
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We made the list! ?? CARTO has been named one of Fast Company's Most Innovative Companies of 2025. We’re proud to be recognized for pushing the boundaries of cloud-native spatial analytics and making geospatial insights more accessible than ever. A huge thank you to our team, customers, and partners who continue to innovate with us! ?? Read more about the list here: https://hubs.ly/Q03chhVS0 #FCMostInnovative
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The faster you see the problem, the faster you can act. ? When network outages, supply chain disruptions, or extreme weather events happen, real-time spatial analytics can help businesses respond instantly. Join our webinar on March 26th to see how integrating live data streams and automating spatial workflows can help you reduce delays, and act on insights as they happen. Register now: https://hubs.ly/Q03cg9w70
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Last week, we teamed up with Databricks to host the first Spatial Analytics Roadshow in Madrid! ???? Industry leaders got explore how spatial analytics is driving smarter decisions in finance & insurance. Shoutout to our speakers from CARTO,Admiral Seguros | Admiral Group,Driverly, Universidad Nacional de Educación a Distancia (UNED), AGROSEGURO and Databricks. Also, thanks to everyone who joined! Here’s a look at some of the moments of the day. ??
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Seamlessly integrate Google Earth Engine with CARTO Workflows ?? Google Earth Engine (GEE) holds vast raster datasets, from historical climate data to real-time environmental monitoring. However, using them in cloud analytics requires significant technical expertise. With CARTO Workflows’ new extension package, you can now: ? Extract raster data like NDVI, precipitation, and elevation data directly. ? Run scalable geospatial analysis in the cloud. ? Track environmental changes over time. Learn about what's possible with our new extension: https://hubs.ly/Q03bMRwN0
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The only coworker who won’t ignore your questions: your map. ??? Ask questions, filter data, and explore insights directly on the map, making spatial analysis more accessible across your organization. By removing technical barriers, teams can eliminate bottlenecks and make faster decisions. AI-powered spatial analysis is here. Ready to put it to work? See how you can get started: https://lnkd.in/dbD2En5x
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BigQuery ML is now in CARTO Workflows, making it easier to integrate AI into your spatial analysis. ?? Users can train models, predict trends, and analyze patterns with pre-built ML components. Use it for everything from churn prediction, demand forecasting, to network optimization. See how it works: https://hubs.ly/Q03bG6kd0
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With granular spatial data and scalable cloud processing, organizations can now work with incredibly precise location insights that weren’t accessible before. This shift is helping industries make better decisions: ?? Telecom is improving 5G planning with highly detailed coverage models. ?? Insurance is assessing property-level risk with more accuracy. ??? Retail is analyzing foot traffic patterns with greater precision. Download the full report to learn more: https://lnkd.in/dKABt4E7