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Artificial Intelligence (AI) and Machine Learning (ML) in maritime logistics
Machine Learning allows to apply intelligent algorithms and to evaluate data that helps to guide the logic of possible problems in maritime transport.

The ship is a key link in supply chain and a technically complex assembly
The key importance for the shipowner is optimal navigation, in terms of safety and economy

Digital ship: the main technological trend in the shipping Industry
"Digital Ship" is one of the main topics in recent months is not a standalone solution, but a complex of several trends in the digitalization of a shipping comp

Big Data in Maritime: How a shipping company can effectively use data
Key uses of big data in shipping and logistics: analytics for shipowners, data engineering, vessel performance and fleet situational management.

Evolution of piracy at sea: pirates in maritime 2020Enter content title here...
There is a 24% increase in piracy due to the current COVID-19 pandemic, wich has shut down many businesses and job opportunities around the world.

Fuel Optimization System allows a shipping company to reduce fuel consumption
Fuel consumption optimization systems not only provide the amount of fuel used during the trip, but also provide additional data related to fuel usage

From fuel consumption sensors to a machine learning in maritime
Fuel consumption optimization systems not only provide the amount of fuel used during the trip, but also provide additional data related to fuel usage

The relevance of Vessel Performance for shipping comt title here...
How can shipping companies control the reduction of air emissions for a vessel or even a fleet? How to control the performance of ships units?

Software solutions for ship situational awareness
Every possible human factor has to be controlled by shipping company, that's why there are IT solutions that decrease the chance of human errors on ships
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