Introduction The current data center boom appears to be an early-stage, brute-force response to the first wave of artificial intelligence demand. The market has encountered a rapid increase in demand for training, inference, and AI-enabled cloud services, and the immediate response has understandably been physical scale in the form of larger campuses, more megawatts, denser … Continue reading AI Data Centers and the Risk of Stranded Infrastructure
Category: geospatial
Data Preservation: Let the Pain Guide You
As I’ve recounted before, what became HIFLD started as the M: drive on a Windows server in a musty government building in Norfolk, VA. Early exercises made it obvious that the data on our M: drive didn’t match the data on other M: drives. They also made it clear that sharing data, especially across 2002-vintage … Continue reading Data Preservation: Let the Pain Guide You
Metadata Rising
Earlier in my career, I was working on an infrastructure protection task and we were reconciling data from several sources that addressed the same road network. The data from the locality was authoritative, but it lacked some information we needed so we were conflating other data to the linework. I commented on the general lack … Continue reading Metadata Rising
Cloud, Ready
As a consultant, I have always placed a premium on the maturity of the technologies I recommend and deploy for my customers. While staying current with innovations, especially in the geospatial space, is a critical part of my work, I believe in letting new technologies develop and stabilize before introducing them into customer workflows. This … Continue reading Cloud, Ready
In HIFLD, a Lesson
I spent the past couple of days at the Esri Federal GIS Conference, still referred to by many as the “FedUC,” in Washington, DC. The primary reason I went was to attend some customer meetings. The FedUC draws many people (6,000 in this year’s case) from around the country and it’s a convenient place to … Continue reading In HIFLD, a Lesson




