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UID:pretalx-foss4g-europe-2026-SM7QL9@talks.osgeo.org
DTSTART;TZID=EET:20260630T153000
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DESCRIPTION:The rise of large language models is reshaping how we interact 
 with information\, and geographic data should be no exception. In this exp
 loratory talk\, we present IGN’s early work on a Geo‑Context MCP\, a n
 ew interface designed to make France’s sovereign geodata directly access
 ible to AI agents. The goal is simple but ambitious: allow intelligent sys
 tems to query\, understand\, and reason over geographical data and OGC ser
 vices—just as easily as humans do today. \n\nWe will walk through the fi
 rst experiments that connect AI agents to WFS endpoints\, structured geogr
 aphic datasets\, and other key services from the Géoplateforme. By exposi
 ng geodata through a machine‑native contextual layer\, IGN aims to lower
  the barrier between spatial information and AI‑driven analysis. We hope
  this can open the door to new forms of automated geoprocessing\, enriched
  decision‑making\, and dynamic geospatial exploration. \n\nFinally\, thi
 s talk invites the community to imagine what comes next. IGN’s initiativ
 e is intentionally open\, experimental\, and collaborative—an invitation
  to researchers\, developers\, and public institutions to help prototype t
 he future of Geo‑AI interaction. How can we make geodata more “intelli
 gible” to agents ? Which tools\, standards\, or abstractions should we b
 uild together? This session is a first step toward that shared exploration
 .
DTSTAMP:20260604T220907Z
LOCATION:A02
SUMMARY:“Beyond Maps: Prototyping a Geo‑Context Layer for the AI‑Driv
 en Future” - lavenant\, Rémi Ferrier
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/SM7QL9/
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