Across GIS and analytics teams, a common challenge is emerging: how to put AI to work to scale geospatial operations and give teams time back?

Join us for a live 60-minute demo and Q&A to see how CARTO for Agents helps teams automate repetitive geospatial tasks, accelerate analysis, and scale spatial operations using the AI tools organizations are adopting today. 

See how coding agents (Claude Code, Cursor, Codex, Gemini CLI) interact directly with the CARTO platform to create maps, build workflows, manage data, run analyses, and surface insights. Chat agents (Claude.ai, ChatGPT, Gemini) can similarly surface maps, analytics, and insights for business users. This helps geospatial teams improve productivity, accelerate project delivery, and spend more time solving complex business problems.
In this session, you'll learn how to:

- Get started with CARTO for Agents using the CARTO CLI, MCP Server, and Agent Skills.

- Give chat and coding agents geospatial expertise with prebuilt and custom Agent Skills from map design to hotspot analysis, spatial autocorrelation, and more.

- Turn agents into geospatial operators and scale mapping, analysis, workflows, and data management with Claude, ChatGPT, Cursor, Gemini, and other agents working directly in CARTO.
Maintain full visibility and auditability with traceable workflows and reproducible analyses.

- Move beyond map visualization into full geospatial analytics to run predictive models, automate spatial workflows, and surface insights that drive business decisions

If your team is managing growing analysis demands, manual GIS processes, or an expanding analytics backlog, this session will show how Agentic GIS can increase team productivity, scale geospatial work, and accelerate decision-making across the organization. Unlike traditional GIS tools, CARTO is built to work natively with AI agents and integrates seamlessly with the modern cloud data warehouses used by leading organizations.

Register now!