Maritime Data Analytics
As the maritime industry accelerates its digital transformation, data analytics has emerged as a key enabler for operational efficiency, safety, and sustainability. This talk explores the evolving landscape of Maritime Data Analytics, drawing on practical experience and research at the intersection of industry, technology, and policy. We will examine the integration of heterogeneous data sources—ranging from AIS and sensor telemetry to satellite imagery and weather models—and how these inform real-time decision-making in modern fleet operations. Particular emphasis will be placed on the role of AI and machine learning in supporting predictive maintenance, anomaly detection, and dynamic routing, as well as on the growing relevance of autonomous vessels and the data infrastructure required to support them. The session will reflect on key lessons learnt from deploying large-scale analytics solutions in maritime environments, including issues of data reliability, system scalability, and human–machine collaboration. In parallel, it will highlight emerging challenges such as privacy-preserving computation, edge analytics, explainability, and the need for shared data frameworks across actors in the maritime domain. Participants will gain insights into how maritime analytics is reshaping the industry—and what technological, organizational, and regulatory shifts are still needed to unlock its full potential, particularly in the era of intelligent and autonomous maritime systems.