Following our announcement at #SDSC26, we are introducing CARTO for Agents 🚀 Powered by our new CLI, Agent Skills, and MCP Server, models like Claude and Gemini can now drive your spatial analysis and build maps end-to-end. Read the announcement: tinyurl.com/yk4v2uf2

EV adoption depends on a mix of income, housing, mobility, and land-use factors. PlacePulse Embeddings capture these characteristics in one representation, without combining dozens of datasets, to predict where chargers are needed. See how: hubs.ly/Q04yc87_0

Last call to join us later today. 🌍 @helenmakesmaps will walk through five maps of this year’s climate events, then show how to build tools that give your team answers to urgent spatial questions. 📅 11 AM ET / 5 PM CET hubs.ly/Q04y5wkP0

Builder now supports dashed and dotted lines plus patterned polygon fills. Use them to mark proposed routes, restricted areas, or missing data. The styles appear in your published map’s legend, too. Learn more: hubs.ly/Q04y0T2h0

Toronto is our next @Snowflake World Tour stop! ❄️ Join us on September 29th to see how teams use CARTO in Snowflake to build spatial workflows and turn their analysis into interactive maps and applications. See you there: calendar.app.google/c4GjEJe2…

A retailer’s top stores may look completely different, but their neighborhoods often share key traits. 📍 Using PlacePulse Embeddings, retailers can find those similarities and identify promising areas for expansion. See how: hubs.ly/Q04xwhRl0

Europe is facing another year of severe water stress. See the drought through maps and how on-demand spatial analytics can help teams track exposure and respond as conditions change. 📅 September 23 | 11 AM ET / 5 PM CET Save your spot: tinyurl.com/ycxrb6j6

We’re excited to announce @TomTom as a Bronze Sponsor of #SDSC26 New York! 🗽 A big thank you to the TomTom team for supporting this year’s conference and the wider spatial data science community. Join us October 20–21 in New York: hubs.ly/Q04wtTVz0

What do your best-performing locations have in common? 🫆 PlacePulse Embeddings can turn those winning characteristics into a spatial fingerprint, then help you find similar places across the country. See how it works: hubs.ly/Q04w3zx_0

Want Snowflake's Cortex Code to build your maps for you? 🗺️ Ask it for a map in plain language, and using CARTO for Agents, it hands back a full CARTO Builder map, styled and ready to share, all without your data leaving Snowflake. See how it works: hubs.ly/Q04vWk550

Building the case for next year's road safety budget? 🚦 A transportation planner can ask Claude or ChatGPT to map traffic accidents alongside the cycle network. Using CARTO, the agent creates a polished map in minutes. Learn more: tinyurl.com/myf26thc

See spatial analytics and geospatial AI in action. 📹 Join CARTO + Marker for real-world use cases and a live demo of spatial data and AI in practice. 🗣️ Session held in Spanish. Register now:hubs.ly/Q04vm87G0

You can now find CARTO at the @awscloud Innovation Hub in Singapore! 🇸🇬 See spatial analytics alongside the latest in cloud, data, and AI at AWS’s innovation facility for Asia Pacific and Japan. Explore here: hubs.ly/Q04vbBsG0

Your next spatial analytics upgrade might already be sitting inside @Oracle. With CARTO, public sector teams can run spatial analysis directly on existing data and turn repeatable GIS workflows into AI Agents that others can use on demand. Learn more: hubs.ly/Q04tl6Tw0

AI-assisted spatial analysis can help you tackle retail site selection. 📍 See how a coding agent ranks candidate locations using customer demand and trade-area overlap, with the scoring logic kept readable in SQL for analysts to review. Learn more: hubs.ly/Q04tk6l50

Better spatial context makes for better AI agents. 🧠 Semantic models give CARTO AI Agents context on geometry, H3 and Quadbin indexes, relationships, and hierarchies, directly in Builder. See how it works: hubs.ly/Q04sVcqy0

wppmedia cut map creation from four to five hours to under one. ⚡ With CARTO running natively in BigQuery, campaign teams can target more precisely, create client-ready maps faster, and work from one shared data source. Read the full story: carto.com/customer-stories/w…

Here’s what PlacePulse Embeddings can do in practice 🫆 They capture each neighborhood’s structural profile to estimate how much EV charging infrastructure it should support. Comparing that with existing chargers reveals underserved areas. Read more: hubs.ly/Q04s3qRf0