The Problem with ‘Dirty Data’ — How Data Quality Can Impact Life Science AI Adoption

Jason Smith, Chief Technology Officer, AI & Analytics at Within3, highlights how many life science data sets contain unclean, unstructured, or highly-regulated data that reduces the effectiveness of AI models. Life science companies must first clean and harmonize their data for effective AI adoption.

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our Newsletter