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. The aim in the following is to discuss how modern predictive analytics can help improve the quality of vessel scheduling data, which is significant for operational planning in maritime logistics. Furthermore, we hope to give the reader some flavor of how we approach such analytics at Awake.AI from a data science perspective.
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