Photo: "K" Line
"K" Line joins forces with the Hiroshima University, MPAT and Marubeni for joint research and analysis
In recent years, it has become possible to use comprehensive, chronologically ordered ship movement and static data, such as position (coordinate information), speed, direction, port of call and drafts, for ships with over 300 gross tonnage traveling internationally. AI is making remarkable progress with improving machine learning and deep learning technology, and there is much research and practical application of this technology that is being used to find patterns hidden in big data and to make predictions.
In order to make full use of the benefits offered by AI technology, Kawasaki Kisen Kaisha., Ltd. ("K" Line) has reached an agreement with Hiroshima University, the National Institute of Maritime, Port and Aviation Technology (MPAT) and Marubeni Corporation (Marubeni) to jointly work on research and analysis on maritime logistics and shipping market conditions using AI.
Goal of the research is to estimate maritime logistics by combining data and technology, and to explore the possibility of developing predictive models with high accuracy. Due to high fluctuations caused by diverse market and social conditions, the shipping market is one of the more difficult economic indicators to predict. Results are expected to enable more accurate and transparent business decisions.
A press release by "K" Line reads, "We are working to organically integrate and develop the various technologies and services cultivated across all divisions to date, and to move forward not only internally, but also through proactive cooperation with universities and other external research institutes, so that we can construct new business models more effectively and with a greater sense of speed."