Does machine learning hold the key to preventing accidents at sea?
With more than 350 years of history, the marine insurance industry is the first data science profession to try to predict accidents and estimate future risk. Yet the old ways no longer work, new waves of data and algorithms can offer significant improvements and are going to revolutionise the industry.
In her Machine Learning Conference session, Dr. Yonit Hoffman will show that it is now possible to predict accidents, and how data on a ship’s behaviour such as location, speed, maps and weather can help. She will show how fragments of information on ship movements can be gathered and taken all the way to machine learning models. In this session, she discusses the challenges, including introducing machine learning to an industry that still uses paper and quills (yes, really!) and explaining the models using SHAP.
Dr. Yonit Hoffman is a Senior Data Scientist at Windward, a world leader in maritime risk analytics. Before investigating supertanker accidents, she researched human cells and cancer at the Weizmann Institute, where she received her PhD and MSc. in Bioinformatics. Yonit also holds a BSc. in computer science and biology from Tel Aviv University.
Protecting AI Solutions From Attacks
Alexander Polyakov (Independent Researcher)
AI for Decision Makers
Uri Eliabayev (Machine & Deep Learning Israel)
Reinforcement Learning and Imitation Learning Workshop
Dr. Neda Navidi (AIR (AI Redefined))
The post Data to the Rescue! Predicting and Preventing Accidents at Sea appeared first on JAXenter.
Source : JAXenter
