A digital transformation is underway in the Life Sciences and organizations are motivated to reduce R&D costs, improve operational efficiencies and shorten drug development timelines. To be successful, these organizations need to cost-effectively leverage high-quality data for the exploration of new solutions and reuse data collaboratively within data science & research teams. However, traditional R&D infrastructures are insufficient for large-scale data collection, complex data validation, automated quality controls, and scaling processing (and AI) pipelines.
