AI Port Center Spotlight – 4 Interviews
AI offers powerful opportunities for ports: from optimization and efficiency gains to better decision-making for customers and operators. At the same time, implementing AI in critical infrastructure comes with real risks, especially around cybersecurity. Protecting essential services and sensitive data must always be a top priority.
Interview: Gerben de Boer
From ideas to impact: what truly drives innovation
Innovation isn’t just about exploring ideas; it’s about turning them into real-world impact.
What makes the difference?
First, applicability. When you can imagine how an internal or external client might use an idea, funding follows, and funding is what allows ideas to grow.
Second, challenge. Ideas become stronger when they’re tested by users, engineers, captains, project managers, and decision-makers who bring real operational perspectives.
In traditional industries like maritime, scaling innovation isn’t easy. The key is to start small, work with open-minded internal clients, experiment, adapt and sometimes stop ideas that don’t deliver value. Step by step, early successes help innovation grow into full impact.
The biggest challenge? Moving from pilot to production. True success comes when innovation leaves the innovation department and becomes part of daily operations.
Above all, progress depends on collaboration and communities. Complex challenges demand multiple perspectives and working together is how meaningful innovation happens.
Interview: Hannah Yee
Turning port data into impact: trust, governance, and coordination
Ports face challenges that are familiar across many sectors: multiple stakeholders, siloed systems, and fragmented ways of working. Bringing all this together into a coherent, data-driven ecosystem is anything but simple.
For data to create real impact, it must be reliable, complete, and high quality but just as important is the willingness of organizations to share it. That willingness is built on trust. Clear governance, transparency on how data is used, and well-defined rules around ownership and access are essential foundations.
Other sectors, such as healthcare, show what’s possible. Standardization combined with strong data governance enables secure data sharing and accelerates the development of data-driven solutions. Ports can learn a lot from this approach.
This thinking directly feeds into projects like Port Call Zero, which aims to optimize port calls while reducing emissions. By coordinating many stakeholders and explicitly accounting for uncertainty, data can be turned into solutions that are not only smart but also sustainable.
Interview: Rudy Negenborn
From smart shipping research to real-world impact
In fields like smart shipping and smart logistics, thousands of researchers worldwide are working daily on complex challenges. The real question is not innovation itself, but how scientific insights make their way into real-world implementation.
A key factor is early dialogue. When scientists understand industry and societal challenges early in the research process, the path to impact becomes much clearer. Bridging science, industry, and society isn’t easy: objectives, cultures, and ways of working differ, which is why platforms that actively connect these worlds are essential.
In the maritime domain, this transition is becoming increasingly urgent. An aging workforce and a shortage of new entrants make automation, autonomy, and smarter decision-making critical over the next 5–10 years. Autonomous shipping is a clear example of how ideas developed in research labs over a decade ago are now entering industrial practice.
Measuring impact takes time. Knowledge often transfers through people, students and PhDs who bring new ideas into companies and gradually shape products, processes, and organizational structures. Taking a long-term perspective reveals how research in AI and logistics ultimately improves real-world performance.
Interview Tamires Beltrao
AI in ports: balancing opportunity, risk, and responsibility
AI offers powerful opportunities for ports: from optimization and efficiency gains to better decision-making for customers and operators. At the same time, implementing AI in critical infrastructure comes with real risks, especially around cybersecurity. Protecting essential services and sensitive data must always be a top priority.
Another key challenge is fair value creation. AI-driven optimization should benefit all stakeholders in the ecosystem, not just a few. Managing this balance is just as important as deploying the technology itself.
While innovation is accelerating with startups and large companies entering the market, many organizations still struggle with data readiness. Operational data is often not yet prepared for advanced AI use, and there is a clear need for upskilling employees and attracting new talent to unlock the full potential.
For the Port of Rotterdam, impact is multidimensional: operational efficiency, emission reductions, sustainability, customer satisfaction, and smooth cargo flow all matter, and they must be improved in parallel. Looking ahead, the goal is clear: AI as augmented decision-making, bringing transparency to port operations and enabling real change through data, experimentation, and long-term investment.