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167 software going through the data , so that we can get correlations that would possibly not be imagined by humans … Similarly , we are looking at edge computing technology so that , not only will we have analytics onshore in the operation center , but the people who manage the ships also have access to real-time analytics so they can make better decisions .”
Identifying trends in ship maintenance using this combination of IoT , edge computing , and machine learning as part of a centralised database will , Abi-Saab believes , lead to significant efficiencies for OSM , as the company gains insights into preventative maintenance strategies . “ Imagine that you have a fleet of ships around the world . Normally , the way maritime companies work is you have Vessel Managers onshore and you have the Captains in the ships who are the people responsible for the operations of the ship . Now ,
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