Sopra Steria, a major player in European technology, announces its exclusive technological partnership with The Famous Project CIC. This unprecedented nautical challenge will bring together an international crew of 100% women to attempt the Jules Verne Trophy: a non-stop round-the-world race without assistance, with the aim of setting a female reference time. 
Over the next three years, Sopra Steria will develop tailor-made digital solutions incorporating AI to optimise the crew's performance, guarantee their safety and maximise the scientific impact of the project.
The technology partnership has three main focuses:
- Modelling oceanographic data: Using sensors placed on the mast and on board the      boat, Sopra Steria will call on its expertise in AI and data modelling to      analyse and exploit meteorological, oceanographic and salinity data      directly at sea. This data will then be fed into global scientific      databases, promoting advances in oceanographic and climate research.
- Safety and detection of floating obstacles: Thanks to the integration of 3D      mapping systems, satellite imagery and automated AI processing, Sopra      Steria will enable the crew to detect and avoid marine hazards (icebergs,      unidentified floating objects - UFOs - marine animals), thereby enhancing      the safety of female sailors while limiting the risk of impact on      biodiversity. 
- Monitoring performance and conditions in real time: Sopra Steria will develop      intelligent dashboards, fed in real time by the boat's data streams. These      strategic management tools will enable the ground team to optimise      performance and ensure the safety of the crew. At the same time, an      immersive digital platform - on mobile application and website - will      offer the general public simplified and enhanced access to race tracking,      navigation data and the athletes' performances, so that they can dive      right into the heart of the race and follow this unprecedented performance      attempt as closely as possible.