Artificial intelligence (AI) involves machines that are programmed to perform tasks that are normally performed by humans. The technology has been incorporated into several industries across the world, introducing sweeping changes in the way companies operate their businesses.
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The emergence of artificial intelligence as a significant technology for digital transformation has opened the gates for a wide array of applications in the shipping industry, enabling companies to boost productivity and scale up operations.
AI in shipping looks set to attract significant investment from companies in the coming years.
AI in Shipping: discover the leading AI companies in the shipping industry
Using its experience in the sector, Ship Technology has listed some of the leading companies providing products and services related to AI.
The information provided in the download document is drafted for shipping industry executives and technology leaders involved in AI solutions.
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The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchase or hiring decisions.
Amongst the leading vendors of AI in the shipping industry are Sea Machines Robotics, Orca AI, Bedrock Ocean Exploration, Buffalo Automation, Massterly, Ladar, i4 Insight, and Ocean Infinity.
Applications of AI in the shipping industry
Decision making
Using advanced analytics and sensors with algorithms, aided by data inputs from multiple onboard systems, can assist the crew in decision-making in real-time, taking into account the surrounding environment.
Predictive maintenance
The use of machine learning algorithms can help shipowners and crew in predictive maintenance, allowing them to detect anomalies related to onboard systems and equipment before they happen and cause downtime.
Sensors can be used to monitor important factors such as temperature and weather conditions, among others, to help in accurate forecasting. If any potential problem is identified beforehand, for example in the main engine, the personnel can act and fix the issue, avoiding disruptions to operations. Predictive maintenance improves operational efficiency and reduces costs.
Navigation
Navigation is another major application area where the use of AI, leveraging sensors and cameras, can help find and track other ships in the surrounding area to avoid potential collisions and save lives.
Navigation solutions also optimise ship routing to cut costs and fuel consumption, which also helps in reducing emissions. Route optimisation models help in determining the best and most efficient route for ship navigation.
Automation
Shipping companies can incorporate AI to switch to paperless and automated processes. Automation can also be used to create digital twins to optimise port operations and management.
AI-powered autonomous intelligence technologies can be used to operate crewless vessels, which can provide savings in terms of manning ships and serve as an effective solution during pandemic situations such as Covid-19.
Emissions reduction
AI solutions can be an answer to emission reduction, allowing shipping companies to meet their decarbonisation targets, in line with international shipping emission regulations. Stringent regulations on greenhouse gas emissions by the shipping industry are also contributing to growing interest from companies to embrace technologies and efficient systems to monitor and control the emissions of their fleet.
For full details (including contact details) on the leading companies within this space, download the free Buyer’s Guide below:
Frequently asked questions
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What is AI's role in the shipping industry?
AI plays a significant role in enhancing efficiency within the shipping industry. It helps with predictive maintenance, allowing companies to foresee equipment issues before they occur, reducing downtime and maintenance costs. AI also optimises navigation, avoiding collisions and minimising fuel consumption, which reduces operational costs and emissions. Additionally, AI automates administrative processes and enables autonomous vessels, improving productivity and safety.
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How does AI contribute to predictive maintenance in shipping?
AI-driven predictive maintenance systems use data from sensors and onboard systems to identify anomalies before equipment failure. By detecting issues early, AI helps crews address problems before they become critical, reducing unplanned downtime and extending the lifespan of equipment. This technology improves safety, operational efficiency, and cost management, making it a valuable tool in the shipping industry.
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How does AI improve navigation for ships?
AI enhances navigation by using advanced sensors and data analytics to detect obstacles, calculate optimal routes, and prevent collisions. By optimising shipping routes, AI reduces fuel consumption and minimises delays, leading to lower operational costs and reduced environmental impact. AI-based systems also improve safety by providing real-time data to the crew, ensuring smooth and efficient voyages.
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Can AI help shipping companies reduce emissions?
Yes, AI helps shipping companies meet environmental regulations by optimising fuel usage, reducing emissions, and managing energy consumption more effectively. AI analyses vast amounts of data to predict fuel needs and suggests more efficient routes that result in less fuel consumption. This contributes to decarbonisation efforts and helps companies align with global sustainability goals.
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What are the key AI companies in the shipping industry?
Several companies are leading the adoption of AI in the shipping sector, including Sea Machines Robotics, Orca AI, and Bedrock Ocean Exploration. These companies provide solutions ranging from autonomous vessels to advanced navigation and maintenance systems. Their technologies are revolutionising the way the shipping industry operates by improving safety, reducing costs, and enhancing overall efficiency.
