How to get AI ready

Becoming AI-Ready in Clinical Development

Adopting Common Data Standards (e.g., CDISC, HL7)

Standard formats ensure consistency and interoperability, making data easier for AI systems to process.

Consolidating Disparate Data Sources

Unifying data from multiple systems eliminates silos and provides a complete view of clinical operations.

Leveraging Data Lakes and FAIR Principles

Data lakes organized by FAIR principles enable scalable, AI-ready access to structured and unstructured data.

Maintaining Regulatory Compliance While Promoting Access

Strong governance allows secure, compliant data access while supporting faster insights and collaboration.