Dr. Kordon stands out among the pioneers who transformed artificial intelligence from an academic curiosity into a practical management instrument. His long career in industrial innovation demonstrates that AI is most effective when it becomes an enabler of operational intelligence — helping organisations make informed, data-driven decisions in real time. His methodology integrates scientific rigour with business logic, offering a roadmap for companies seeking to create value through intelligent systems.

In works such as Applying Computational Intelligence: How to Create Value (Springer, 2009) and Applying Data Science: How to Create Value with Artificial Intelligence (Springer Nature, 2020), Kordon presents a holistic approach that resonates deeply with the GREENPORT vision: using data, digital tools, and adaptive learning to improve performance while advancing sustainability. His philosophy could be summarised as “intelligence applied to real problems” — a core principle that underpins GREENPORT’s educational model.

A central element in Dr. Kordon’s applied work is the concept of Digital Twins — dynamic digital representations of physical assets, systems, or processes. By combining data from sensors, historical records, and predictive algorithms, digital twins allow continuous monitoring, forecasting, and optimisation.

Within the port ecosystem, this translates directly into the ability to:

• anticipate equipment failures through predictive maintenance;
• optimise tugboat or terminal energy use through intelligent energy analytics;
• simulate logistics operations for emission reduction and throughput efficiency;
• and evaluate cost-saving and decarbonisation scenarios without interrupting real operations.

The GREENPORT strategy strongly embraces this vision. Under Work Package 4, the HEI, VET, and TTT curricula integrate simulation-based learning, data-driven case studies, and digital twin modelling as educational tools. Dr. Kordon’s principles provide the theoretical and methodological foundation to frame these learning experiences in a way that connects directly to the operational realities of port services.

Another essential aspect of Kordon’s philosophy is his understanding that technology alone cannot drive transformation — people do. His books and lectures consistently emphasise the role of human interpretation, trust, and accountability in AI-based systems. For GREENPORT, this notion of human-centred digitalisation is pivotal. The three educational streams are not only meant to teach new tools but to reshape professional behaviour and mindset. Whether it is a university student analysing emissions through a data-science module, a tug master using predictive dashboards to plan manoeuvres, or a trainer facilitating change in port organisations, the project promotes an AI-literate workforce that combines digital competence with ethical responsibility.

The European Green Deal and the Digital Europe Programme both call for synergies between sustainability and digitalisation. The GREENPORT project responds directly to this call by linking decarbonisation, digital transformation, and workforce upskilling. Dr. Kordon’s interdisciplinary framework exemplifies this balance. His experience shows that successful AI deployment requires a clear understanding of the system’s energy and resource dynamics — precisely the challenge the maritime and port sectors face today. Through AI-enabled insights, ports can reduce emissions, optimise vessel movements, forecast demand, and manage assets in line with the EU ETS and FuelEU Maritime frameworks. Integrating such expertise into GREENPORT’s curricula ensures that learners grasp not only how AI works but why it matters for climate action, circular economy, and competitive advantage.

The forthcoming piloting of the GREENPORT educational modules represents more than a testing phase — it is the first real step toward building a European network of intelligent and sustainable ports. By embedding Kordon-inspired AI principles into the training ecosystem, the project will demonstrate how learning can accelerate decarbonisation and digital readiness simultaneously. The synergy between human expertise, technological intelligence, and environmental responsibility forms the backbone of the GREENPORT strategy. As Dr. Kordon himself argues, “AI creates value only when intelligence meets purpose.” The same applies to GREENPORT: each educational activity, simulation, or module is designed not for technology’s sake, but for the purpose of achieving measurable impact — lower emissions, greater efficiency, and empowered people.

By linking the legacy of Dr. Arthur Kordon’s applied AI methodologies to the mission of GREENPORT, the project demonstrates that Europe’s green and digital transitions are not separate agendas but two facets of the same transformation. The upcoming piloting phase will provide an opportunity to validate this approach across education levels and national contexts, ensuring that future port professionals — from students to trainers — can operate confidently in a data-driven, low-carbon economy.

Through its multidisciplinary design, the GREENPORT project proves that when intelligence meets purpose, sustainability becomes not only a policy goal but a practical, teachable, and achievable reality.