Mentioned in 2 AI use cases across 1 industries
Think of this as giving an insurance company a super-fast, tireless analyst that can read millions of past policies and claims, learn patterns of risk and fraud, and then help underwriters price policies better, settle claims faster, and spot suspicious behavior automatically.
This is like putting a smart fitness tracker on a car. Instead of pricing insurance mainly from age, postcode and past claims, it continuously watches how, when, and where the car is driven (speeding, hard braking, night driving, etc.) and uses machine‑learning to turn that behavior into a fairer, more personalized price.