Machine Learning in Maritime Logistics
Exploiting the value of data with machine learning is increasingly important for gaining and maintaining a competitive advantage in all segments of the maritime industry.
At Fraunhofer CML, we have gained experience from numerous projects that use machine learning to optimize processes and systems in the maritime industry. These insights have been consolidated in the White Paper »Machine Learning in Maritime Logistics«.
Starting from basics of AI and machine learning, the White Paper shows important elements for a successful implementation of machine learning in maritime applications. In order to close the gap between theoretical background and a real-world practical use of data-based methods, actual examples of machine learning in maritime logistics are described. Drawing inspiration from these good practices can facilitate the identification of opportunities on a company level.