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Presented by Pietro Tansini, Founding GTM at Rivia, a clinical trial intelligence platform leveraging agentic Al to help biopharma teams monitor, analyze, and act on trial data in real time. Based in Zurich, he works at the intersection of clinical operations, data infrastructure, and go-to-market strategy, supporting the adoption of next-generation tools that improve trial efficiency and decision-making. At Rivia, Pietro contributes to shaping how modern clinical teams interact with increasingly complex and fragmented data environments, enabling more proactive and informed trial execution. He is actively engaged in discussions around the role of Al in clinical development and has presented on how emerging technologies are transforming clinical workflows and team productivity. This webinar will explore how Al and big data are reshaping clinical development, moving from retrospective reporting toward real-time, predictive trial intelligence. Using a practical perspective, it will highlight how integrated data approaches can support better decision-making across the clinical trial lifecycle-from design and patient identification to execution and analysis. The session will also touch on the growing complexity of clinical trials, with particular relevance for advanced therapies such as gene and cell therapy. It will explore how Al can help address challenges related to small patient populations, data fragmentation, and operational risk. Attendees will gain a clearer understanding of where Al can add value today, as well as key considerations around data, governance, and implementation.