AI-enabled discovery and multimodal, human-centric datasets are reshaping how biopharma and digital health companies differentiate, partner, and scale. Rather than focusing on capital trends, this session will highlight practical approaches to monetizing proprietary data and AI platforms, meeting rising standards for data quality, privacy, and model transparency, and accelerating translational and clinical readiness. During this panel, venture investors, experienced operators, and regulatory, licensing and IP experts share a pragmatic playbook for building durable partnerships and navigating commercialization across global life science ecosystems — a conversation that will benefit both investors and AI enabled companies alike. Speakers will emphasize how investors and serial entrepreneurs can position AI driven ventures to stand out through deliberate licensing strategies, defensible data ownership and IP frameworks, and early alignment with global regulatory expectations.