Concurrent Technical Session 1C-1: Model Conversions

The rapid digital transformation of the marine industry is driving an unprecedented need for model conversions across diverse technology stacks. Shipbuilders, operators, and classification societies are increasingly integrating design, operational, and maintenance systems that were never intended to communicate seamlessly. As a result, legacy platforms, proprietary data formats, and specialized engineering tools must now coexist within complex, distributed digital ecosystems. Advances in artificial intelligence (AI) and machine learning (ML) are increasingly addressing these interoperability challenges. Automated model recognition, translation, and reconstruction now allow data to flow across previously incompatible environments. These technologies learn contextual relationships between systems, enabling consistent performance, geometry, and lifecycle information to be shared without extensive manual re-engineering. What was once a significant barrier to efficiency has become a domain where adaptive algorithms actively reduce conversion time and information loss. Recent implementations have demonstrated that this approach extends even to analog origins — where drawings, measurements, and specifications can be digitized and converted into dynamic, usable data. This capability is proving essential to achieving continuity across the vessel lifecycle, from concept design through operations and maintenance. The emerging convergence of AI-driven interoperability and marine digital infrastructure suggests a new standard for data resilience and collaboration. By reducing the complexity of multi-stack integrations, AI and ML are not only simplifying how systems connect but redefining what can be preserved and transferred between generations of maritime technology.

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Concurrent Technical Session 1C-2: Asset Performance Management

In my technical presentation, I will shed light on our philosophy and experiences especially on Asset Performance Management - methodology and tools development - from Elomatic's standpoint. Asset Performance Management as a science is still morphing into its end-state, but currently I think the prevailing definition entails Predictive Maintenance, Data insights from operations and possible Simulations around a digital replica of the ship. The foundations are still very much in maintenance activities, but as maintenance management is transforming into more intelligent activity, even if slowly but steadily - the whole digital thread of a ship is evolving. We at Elomatic have our roots in the Finnish shipbuilding cluster, and we have worked as naval architects and ship engineers on multitude of projects for shipyards and shipowners for more than half a century already. Especially during the recent years with more global reach than ever before as a company, we've witnessed a paradigm shift around three themes: Live data and intelligent insights, Technical documentation from handover to scrapyard And finally - the effect of collaboration and new business models / ways of thinking. All of these three themes contribute to more intelligent and future-proven ships being designed and built, improved efficiency in operations, all without compromising safety at seas. And these three themes form the foundation on how we at Elomatic depict modern asset performance management philosophy and the new wave of a more collaborative marine industry.