Quizzed article | REF: TRP5044 V1

Data Processing for the Maritime Sector Digital Transition

Author: Jean-François SIGRIST

Publication date: November 10, 2024

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ABSTRACT

The maritime sector is undergoing a far-reaching transformation, integrating innovations from the digital world, based on a growing amount of data describing activity and the environment, and on techniques for analyzing this data. This article provides an introduction to these issues, reviewing the various challenges of maritime digitalization, from data availability and use to the main analysis techniques.

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AUTHOR

 INTRODUCTION

The maritime and port world has embarked on an unprecedented digital transformation. The deployment of devices enabling the massive collection of data of all kinds (on the marine environment, on the operating conditions of ships and port infrastructures, etc.) and the development of algorithms and mathematical models to exploit this data offer the maritime world new services and applications, helping to improve the performance, safety and competitiveness of this sector, which is strategic for the global and national economy.

The aim of this article, which is mainly aimed at young engineers, is to provide an introduction to the uses of data in the maritime domain, together with an overview of the different learning methods that can be used to exploit this data, and to give some concrete examples of applications to different areas of the "blue economy".

In the "For further information" section, readers will find references and links to websites where they can expand their knowledge of the subject.

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KEYWORDS

Blue Economy   |   maritime digitalization   |   artificial intelligence   |   data analysis


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