MarineDigital

Machine Learning allows to apply intelligent algorithms and to evaluate data that helps to guide the logic of possible problems in maritime transport.

The key importance for the shipowner is optimal navigation, in terms of safety and economy

"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

Choosing the best route that avoids storms, not only provides safety but also allows the ship to reach its destination faster, saving time and fuel on vessels.

Very often, many people confuse terms such as Smart Ship and Digital Twin. These two terms are different from each other.

Cybersecurity in maritime has a huge potential to affect the safety of the crew, vessel, cargo and even ports.

Key uses of big data in shipping and logistics: analytics for shipowners, data engineering, vessel performance and fleet situational management.

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.

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?

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

Fuel consumption optimization systems not only provide the amount of fuel used during the trip, but also provide additional data related to fuel usage

Fuel consumption optimization systems not only provide the amount of fuel used during the trip, but also provide additional data related to fuel usage