Our panelists will explore the intersection of these fields, with a focus on the recent Ariel Data Challenge outcomes. The discussion will look at how machine learning techniques are revolutionizing our approach to exoplanet characterization, the broader implications for planetary science, and the mission's potential impact on our understanding of exoplanet diversity. The panel will reflect on the recent data challenge, their practical applications for the upcoming ARIEL mission, and the evolving landscape of space-based exoplanet observations. Audience members will have the opportunity to engage with panelists during a Q&A session.