In this video, experts discuss the transformative impact of AI and biobank data on translational research. They explore the challenges of managing large and diverse datasets --ranging from the lack of standards to the need for scalable storage and advanced analytics. The session also highlights success stories, including the use of genetics in drug discovery for Alzheimer’s, Parkinson’s, and cardiovascular diseases. Emphasizing the importance of longitudinal and digital health data, the experts underscore how integrating multi-omics data and fostering collaboration across academia, industry, and IT can accelerate the future of genomic research.