Selena Baset

Selena Baset

Senior Information Architect Roche

2. Conference Day, 03. September 2025

9:50 Before GenAI, Get Your Data Right: Why FAIR Data Matters

  • The GenAI Promise: How AI is expected to transform clinical trials—faster decision-making, better predictions, and improved efficiency. 
  • The Risk of Bad Data: Without structured, high-quality, and governed data, Gen AI models risk hallucinations, bias, and unreliable outputs. 
  • FAIR Data as a Prerequisite: Findable, Accessible, Interoperable, and Reusable (FAIR) data principles lay the foundation for effective and trustworthy Gen AI. FAIR and Gen AI are not competing forces; they enhance each other. FAIR data enables AI to generate meaningful, actionable insights. 
  • The Roadmap Forward: Steps pharma organizations can take to ensure data governance and AI readiness for clinical trials. 

10:50 Panel: Data foundations for the continuous development and application of AI

-Data quality and integrity: Establish rigorous processes for data collection, review, and cleansing. High-quality data is essential for training reliable AI models.

-Data integration and management: Working with various data types, including chemical data, biological data, clinical outcomes, patient records, and realworld evidence. Integrate these data sources and establish effective data management systems and practices.

-Human-machine interaction: Preparing your organization for the integrated use of AI through data and AI competency programs, continuing education, and change management.

-Legal and ethical considerations: Understanding AI law. Ethical implications of AI, including bias in AI models and the impact of AI decisions in clinical settings.

Check out the incredible speaker line-up to see who will be joining Selena.

Download The Latest Agenda