Mentioned in 4 AI use cases across 2 industries
Think of this as comparing two types of "risk calculators" for insurance: the old, simple one is like a basic spreadsheet formula; the new explainable-AI one is more like a smart assistant that can capture complex patterns but also tells you, in plain terms, why it thinks a customer is high or low risk.
This is like giving European defense forces a combined "eyes in the sky" system that uses both satellites and drones, then adding an AI analyst on top to continuously watch, detect, and flag important changes on the ground.
This is like a very powerful ‘Google Maps brain’ that can look at extremely detailed satellite and aerial images, understand what’s on the ground (roads, buildings, ships, fields, etc.), and connect that with other types of data, so many different applications can reuse the same core model instead of building their own from scratch.
This is like plugging a smart insurance mini‑app directly into other companies’ websites and apps. When a customer buys a flight, a gadget, or books a trip, Chubb’s AI quietly figures out the right kind of insurance, price, and wording for that specific customer and moment, and offers it in one click without sending them to a separate insurance site.
Imagine Google Earth that not only shows you pictures of Earth but also automatically tells you what changed, where ships and planes moved, where forests were cut, or where construction started—without humans scanning millions of images. That’s what AI on satellite imagery does: it turns raw pictures from space into searchable, real-time alerts and maps.