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AI for smart ports, part 2: Optimizing vessel schedule predictions using machine learning

Jussi Poikonen, D.Sc.(Tech.) VP of AI & Analytics, Awake.AI

AI for smart ports, part 2: Optimizing vessel schedule predictions using machine learning

In this post, we pick up from our previous look into the challenges inherent in current commonly available vessel schedule information....

Enabling smart ships to make port calls in Port of Rotterdam

Enabling smart ships to make port calls in Port of Rotterdam

“Awake.AI and Port of Rotterdam have made the first steps together towards the autonomous future. Awake.AI is a trusted partner to us...

“Culture of collaboration” as the foundation of a trusted and smart port ecosystem

Vaklin Angelov, Senior Project Manager, Awake.AI

“Culture of collaboration” as the foundation of a trusted and smart port ecosystem

Exchanging real-time data allows profits to be maximized and value to be added through improved situational awareness, predictability,...

AI for smart ports, part 1: Limitations of existing data sources for port call prediction

Jussi Poikonen, D.Sc.(Tech.) VP of AI & Analytics, Awake.AI

AI for smart ports, part 1: Limitations of existing data sources for port call prediction

Port call optimization may be realized in practice for example as more efficient planning of the use of port resources such as berths,...