AI is transforming how satellite imagery is used: automatic infrastructure detection, identification of at-risk areas, prediction of climate impacts, estimation of electricity demand, and creation of digital twins through multi-source analysis (satellite, drone, IoT, GIS).
Combined with increasingly rich geospatial databases, AI is becoming a powerful tool for accelerating analysis, reducing field inspection costs, and improving decision-making.

Which currently manual processes could be accelerated by applying AI to geospatial applications?
What type of automation (detection, prediction, classification, alerting) would be most useful in your context?

This topic opens a discussion on the practical uses of AI, the expectations of utilities, and future opportunities.