Overcoming AI & Data Governance Challenges in Pharma

PharmaLex outlines the critical role of data governance in enabling responsible, scalable AI in life sciences. Learn how pharma organizations can build a strong foundation for AI by aligning people, processes, and technology while navigating global compliance requirements and bridging talent gaps.

Key Takeaways:

1. AI success starts with data ownership and trust. A clear governance framework ensures data is usable, traceable, and aligned to business needs.
2. Compliance must be built into your data strategy. Regulations like the EU AI Act require high-quality, secure, and well-documented data to support high-risk AI systems.
3. Without organizational readiness, AI initiatives stall. Companies need cross-functional alignment, upskilled talent, and integrated data environments to scale AI effectively.