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🚢 TwinShip: Turning Maritime Data into Trustworthy Decisions with AI & Digital Twins Shipping is one of the foundations of the global economy 🌍 — but the industry is now facing a major transformation: becoming cleaner, smarter and more efficient while maintaining the highest levels of safety and reliability. In a recent TwinShip interview, Dr. Spiros Mouzakitis from the Institute of Communication and Computer Systems (ICCS) discussed how Digital Twins, Artificial Intelligence, Machine Learning and secure data platforms can support this transformation. 💡 One important message stood out: 👉 “More data doesn’t necessarily mean better decisions.” Reliable digitalisation depends not only on collecting large volumes of data, but also on ensuring that the data is accurate, contextualised, secure and trustworthy. 🔹 Digital Twins can create virtual representations of vessels and their systems, allowing operators to test scenarios, evaluate performance and investigate future operational conditions with lower cost and risk. 🔹 Machine Learning & AI can identify patterns in vessel data and support predictions related to vessel behaviour, performance, fuel consumption and operational efficiency. 🔹 Open-source platforms can accelerate maritime innovation by enabling collaboration while still protecting companies’ proprietary data, models and intellectual property. 🔐 🔹 Explainability and trustworthiness are essential. In safety-critical industries such as shipping, AI must do more than provide an answer — users must understand the uncertainty, reliability and reasoning behind the recommendation. |
⚠️ And when it comes to Generative AI and Large Language Models, the message is equally important: We should not follow the hype blindly. Instead, the maritime sector should gradually introduce AI into appropriate applications, carefully assess risks and benefits, and focus on developing Trustworthy AI. 🤝 TwinShip is bringing together shipowners, technology providers, researchers, software developers and classification experts to bridge the gap between research and real maritime operations. 🌱 The ultimate objective is clear: provide evidence-based and trustworthy digital decision support that can help accelerate shipping’s digital and green transition. 🚢 Better data. Better models. Better decisions. A smarter and greener future for shipping.
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