As the pharmaceutical industry intensifies its use of real-world data, advanced analytics, and AI-driven insights, the ability to collaborate without compromising sensitive information has become a strategic imperative. Federated Learning (FL) offers a compelling model for enabling privacy-preserving, cross-institutional collaboration. This paper provides actionable insights into FL’s benefits for pharma data governance and infrastructure, addressing practical challenges and readiness factors for successful deployment.
Read our full POV here From Silos to Synergy: A Strategic Imperative For Federated Learning in Pharma
