Page 133 - ΝΑΥΤΙΚΑ ΧΡΟΝΙΚΑ - ΟΚΤΩΒΡΙΟΣ 2024
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According to the participants’ responses,   In light of the upcoming environmental reg-
                                    implementing multiple technological solu-  ulations, half of the participants believe that
                                    tions is viewed as the most effective way to   investing in machine learning (ML) and arti-
                                    reduce a ship’s carbon footprint. Is the ship-  ficial intelligence (AI) alongside green tech-
                                    ping industry nearing a tipping point where   nologies and alternative fuels is critical. What
                                    substantial benefits from the implementation   are some ways in which ML and AI could fun-
                                    of technological solutions will be witnessed?   damentally transform the way we perceive
                                           The responses accurately capture   the energy efficiency of vessels?
                                           the reality of reducing a ship’s car-  The digitalisation of marine ves-
                                           bon footprint. There are multiple      sels is already underway, primarily
                                           technical and operational solutions,   in the form of data acquisition and
                                           which, if applied individually, would   post-processing  for  performance
                                           have small benefits but, if applied    monitoring and maintenance. The
                                           collectively, can have a significant   next natural step for these tools and
                                           impact. However, it is crucial  to     methodologies would be to apply ML
                                           understand that integrating mul-       and AI techniques to improve their
                                           tiple technologies is complex and      accuracy, increase their speed, and
                                           does not necessarily result in additive   reduce any errors resulting from poor
                                           benefits. Different technologies must   data quality or human input.
                                           be integrated correctly, with a ves-   The development of digital twin tech-
                                           sel-specific approach that requires    nology, which is based on ML and AI
                                           a thorough understanding of engi-      tools as well as physical observations
                                           neering principles. In this respect,   and models, and its integration with
                                           digitalisation is crucial in providing   smart shipping systems, will revolu-
                                           both accurate data and realistic       tionise the decision-making process
                                           what-if scenarios, allowing for indi-  in ship operations, vessel perfor-
                                           vidual assessment and οptimisation     mance, and machinery maintenance,
                                           of technology integration.             having a huge positive impact on



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