In this project we aim at enhancing the current state-of-the-art simulations for Space Weather, by using prior knowledge gathered from historical satellite data. Several Machine Learning techniques will be used for data-mining, classification, and regression. The long-term objective of the project is the creation of a portfolio of data-enhanced reduced models, along with automated rules for model selection. Depending on the real-time conditions observed by satellites, the resulting ‘grey-box ’ model should choose the relative importance between physical and empirical estimations.Coupling physics–based simulations with Artificial Intelligence can provide powerful insights into customer behavior and trends. AI can be used to identify patterns in customer data and build predictive models to forecast customer behavior and preferences.