Skip to main content

Ensuring high-quality experimental datasets: Data pipeline and AI-preprocessing tools for R&D data integrity

31 Oct 2024
Data Quality
  1. Anomaly Detection and Correction: What AI techniques and tools are being used to detect data anomalies and efficiently alert users? What data pipelines and preprocessing tools are used to monitor and assess data quality in real time? 
  2. R&D Data Ontologies:   What aspects of R&D data ontologies can be generalized and how can we leverage structured data ontologies to ensure high quality datasets? 
  3. User Experience and Trust: How can we enhance the user experience of AI and data preprocessing tools to increase trust and utilization of AI-enabled data tools? 
Industry Experts
Jasmine Gardener, Head of Digital for mRNA Delivery Innovation - Emd Serono