Tag: machine learning

Alexander Varvarenko, Founder & Owner, Shipnext explains how the implementation of data-management tools, and a wider use of machine learning and AI, will drive operational efficiency and highlights that competition and innovation inevitably pushes the industry in the right direction.

Irit Singer, Chief Marketing Officer at Windward, explains that ‘actionable visibility’ is vital for a more resilient supply chain. Implementation of IoT devices, widespread adoption of AI-powered solutions and machine leaning can help towards, and they should be utilized by all maritime stakeholders who are interested in improving their operational efficiency.

Vessel selection has always been an extremely time-consuming and complex task for charterers. Access to real-time data and accurate fuel performance modelling to help them choose the most effective ship for their needs has historically been challenging at best, and highly limited at worst, argues Pelle Sommansson, Chief Product & AI Officer, ZeroNorth.

While sci-fi movies picture intelligent machines taking over the world, the reality is that there are some pretty exciting developments happening in artificial intelligence. Especially in shipping, the industry develops better big data capabilities, and along with it the opportunity to build new systems that can help humans operate vessels more safely and efficiently.

Dom McKnight Hardy, Managing Director at MIS Marine, talks about the opportunities that big data, Artificial Intelligence, Machine Learning and the other emerging technologies bring to front, highlighting that collaboration is crucial to achieving success.

Global Fishing Watch has developed and publicly released the first ever global map of previously undetected dark fleets, or vessels that do not broadcast their location or appear in public monitoring systems.

Lloyd’s Register’s (LR) Maritime Performance Services (MPS) business published a report on the state of digital transformation through artificial intelligence and machine learning in the maritime industry. 

During the SMART4SEA Virtual Forum, Panel 2 focused on game changer technologies, with shipping showing an increased interest in blockchain, virtual reality, AI and other revolutionary technologies such as 3D printers.

Singapore's Senior Minister of State for Transport, Chee Hong Tat, said that MPA will use artificial intelligence and machine learning to manage the increasing scale and complexity of ship movements in Singapore’s waters. 

Lloyd’s Register along with InterManager, used the former's SafetyScanner machine learning technology to identify new insights regarding lifeboat accidents, in order to help improve lifeboat safety at sea.