Operational Barriers to Scaling Generative AI in Life Sciences R&D
Life sciences companies face significant challenges in scaling generative AI due to insufficient data maturity and fragmented data sources. Experts highlight the need for robust data infrastructures, standardized evaluation benchmarks, and organizational alignment to unlock the full potential of AI in R&D workflows.