Where? The gap between sensor data and humancentric geography in the AI age
summary
Precise GPS coordinates are correct but useless without context, so the work is turning micro‑precision into human answers: converting device lat/long into 100 million geographic lookup ops a day worth of readable names, time zones, jurisdiction flags and legacy codes like UN/LOCODE NLMS, NUTS, geohash, what3words, MGRS; handling port IDs, container‑in‑EU checks, scooter rebalancing, language and postcode variants; storing open‑data outputs so customers can train internal LLMs rather than dumping raw coordinates.
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chapters (6)
- 0:00Introduction
- 1:05Sensor data vs human needs
- 3:30Human answers to location
- 5:20Coordinates to human terms
- 7:24AI struggles with geography
- 9:49Coordinates to actionable data
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