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This report investigates the potential of Large Language Models (LLMs) in maritime data analysis and decision support, emphasizing their application in enhancing operational efficiency and sustainability. 

This study had the following objectives: 

Investigate how LLMs can extract insights from large and complex maritime datasets. 

Assess the distinction between custom machine learning approaches and out-of-the-box LLM solutions. 

Explore the potential of LLMs in various maritime applications. 

The report explores different potential AI applications within the maritime sector such as schedule optimization, predictive maintenance, emissions reduction, and risk analysis. By leveraging AI, naval operations can become more efficient and aligned with environmental goals. 

In conclusion, integrating AI technologies, notably LLMs, offers transformative potential for the maritime sector. By strategically deploying these tools, the industry can address current operational challenges and embrace future opportunities for improved efficiency and sustainability.