A geospatial career journey
This post summarizes themes that emerged across multiple sources curated by GeoFeeds during April and May 2026. Taken together, these themes suggest that geospatial AI (GeoAI) is moving through a familiar stage in the life of an emerging technology. The early question was whether it could do useful work. The current discussion revolves around what … Continue reading Geospatial AI State of Play, April–May 2026
In a post last week, Open Data and AI, I discussed how open data projects are facing a new kind of consumer: AI-automated systems that can pull public data continuously, at scale, and in patterns the original infrastructure was never designed to support. OpenStreetMap is one of the clearest examples. It is globally important, community … Continue reading Prototyping AI-Ready OSM
Open data projects are seeing a new kind of consumer in the form of automated systems that can consume public data continuously, at scale, and through access patterns that were not designed with them in mind. People downloading data, building products, or creating derivative services have always been part of the bargain. AI-driven consumption, however, … Continue reading Open Data and AI
My recent work has gotten me thinking about the relationship between skills, as in Claude skills rather than personal ability, and Model Context Protocol (MCP) servers. I am building MCP servers for projects and starting to put together skills that my teams can share across engagements. That work has also overlapped with GeoFeeds, where I … Continue reading A Familiar Pattern for MCP and Skills
There is a stretch of my career I tend to skip over. When I tell the story of how I got here, I usually start somewhere around Zekiah, sometimes a little earlier, but the three years I spent at Booz Allen Hamilton in the 1990s rarely get more than a sentence. I move past them … Continue reading Reading the Terrain