Data is needed to train artificial intelligence (AI) and drive machine learning (ML), making data management more important today than ever before in drug discovery, shipment, and development. The biopharmaceutical industry faces difficulties when handing Big Data, which need to be findable, accessible, interoperable, and multiple-use (FAIR).
