Persistent spatial patterns provide the evidence needed for explainable recommendations, trustworthy AI systems, and ultimately better decisions. Read our blog post about "From Traffic Accidents to Persistent Risk".
community.esri.com/en/discus…
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🚀 Big news for geospatial developers!
The new ArcGIS Agentic Developer Toolkit lets AI coding agents (Claude, GitHub Copilot, OpenAI Codex & more) use MCP to pull live docs, samples & opinionated skills.
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The Agentic Experience is here.
People set goals & guide critical decisions.
Agents plan, decide & act on their behalf.
ArcGIS provides the powerful capabilities they use.
Connected through MCP, APIs, SDKs & CLI.
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AI is transforming software from click → ask → delegate.
At ArcGIS:
• Natural language assistants inside apps
• AI-first experiences like Data Explorer
• ArcGIS agents in Claude, Copilot & ChatGPT via MCP & plugins
Same trusted GIS. New ways in. 🚀
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Enhance traffic safety showcase with multi-year hotspot risk workflow and filtering capabilities; update notebook for end-to-end demonstration
github.com/EsriDevEvents/spa…
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Detecting traffic safety hotspots using the public available traffic accidents dataset. Map view shows Frankfurt am Main, Germany.
github.com/EsriDevEvents/spa…
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Rebuilding GIS for the Energy Transition with AI
How EnBW transformed GIS from an expert tool into a platform for every user.
linkedin.com/posts/jan-tscha…
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We don’t want polished demos; we want the community’s real problems. Tell us in one sentence: what single geospatial problem should we solve live at the European Dev & Tech summit?
Register here: go.esri.de/l/284952/2026-09-…
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We're building a showcase that starts with AI detecting airplanes, or even drones, from satellite imagery and ends with transparent, human-centered decisions.
Register here: go.esri.de/l/284952/2026-09-…
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Vom Digital Twin zur Spatial Decision Intelligence?
community.esri.com/de/discus…
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Check out: From Traffic Accidents to AI Agents: What an Urban Digital Twin Can Teach Us About Spatial Decision Intelligence
linkedin.com/pulse/from-traf… via @LinkedIn
What should a Geospatial AI agent actually be capable of deciding?
github.com/EsriDE/spatial-de…
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AI agents are becoming increasingly capable of reasoning and acting.
But what geospatial capability should every AI agent understand?
0%Spatial relationships
0%Network analysis
0%Location intelligence
0%Something else
0 votes • Final results 25
We're exploring a simple but important question:
What should an AI agent actually be capable of deciding?
Many AI systems today are built around tools, APIs, and function calls.
github.com/EsriDE/spatial-de…
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Most AI agents can call tools.
Very few can make decisions.
Maybe the next evolution is:
APIs → Tools → Agents → Decision Skills
What would be the first spatial decision skill you'd build?
go.esri.de/l/284952/2026-09-…













