Infosys: Federated Data and Learning Collaboration - A foundational platform for AI model development and use in Health & Life sciences

High-quality data is foundational to generating actionable population health insights, conducting impactful scientific research (e.g. RWE) and developing novel AI models to help improve patient outcomes. Innovative approaches are required to overcome challenges in data standardisation and integration across siloed ecosystems. Federated learning is emerging as a key enabler to collaborate on data for evidence generation and AI model development, unlocking the potential of large-scale, multi-modal datasets. In addition, Generative AI is showing great promise to act as a flywheel for translating raw data into clinical and research value. Integrating such innovations in collaborative ecosystems—facilitating trustworthy, scalable, and validated data-driven research—will enable end-to-end evidence generation frameworks that innovate healthcare delivery and optimally cater to patients’ needs. **Presenters:** Ariel Dora Stern, Professor, Hasso Plattner Institute David Champeaux**,** Partner, Infosys Consulting**,** Infosys Florentine Kaniess, Chief of Staff, Charité - University Medicine Berlin Frederik Buijs, Medical Evidence Generation lead PDMA Neuroscience & Measurement strategy Lead PD Neuroimmunology, Roche *AI Spotlight at HLTH Europe brings together leading experts to explore the real-world impact of AI in healthcare. Through case studies, industry discussions, and live demonstrations, attendees will gain practical insights into AI’s transformative potential. Join us to discover how cutting-edge AI solutions are shaping the future of healthcare.*