Hyperloop Decision Making Ecosystem Empowered by Ambient Artificial Intelligence

The recent shutdown of Hyperloop ONE and closure of Tesla Hyperloop subproject brought more than 1 billion EUR losses in Hyperloop industry. Hyperloop decision-making ecosystem is introduced to support stakeholder’s decisions and improve the success rate of Hyperloop projects. The research provides comprehensive analysis of Hyperloop decision-making ecosystem which is empowered by Ambient AI through the lens of Ambient Intelligence. A novel, scalable, and decentralized ecosystem design is proposed, incorporating DataOps principles and data mesh architecture. The enhanced ETL model supported by Generative AI is a foundation for technical architecture. Snowflake data warehouse, Streamlit, Python programming language, ChatGPT Model 4, Microsoft PowerBI, and GitHub is part of the proposed solution. Flexible and adjustable decision-making lifecycle methodology is introduced. It is based on reframing and repurposing project goals, purpose and scope after each phase completion to enable maximum adaptivity to rapidly changing Hyperloop industry and increase project resilience. Finally, AmI value chain outlook for Hyperloop project is designed.