There are a number of different inputs to the predictive model. Some occur at a vessel level and reflect the ship’s own performance, and some happen at a peer level (sister vessels, vessels of a similar age, vessels from the same yard etc.) and reflect the peer activity The nature of machine learning picks up signals from both vessel and peer activity and this allows us to use the predictive model to quantify risk in advance.

Did this answer your question?