AI4Industry Challenge, organized in collaboration with Dassault-Aviation and Ile-de-France (Paris Region), is an ambitious time series regression contest from aeronautical data for predictive maintenance, where Gradient Boosted Trees methods have excelled.
The winning team, Aquila Data Enabler, won a 500,000 € research grant and started a collaboration with Dassault-Aviation in order to pursue the research and deploy their solution on production systems.
For more details, you can read the scientific paper, published at ICMLA conference: [Link]
