Session: Process-wide and Operational Topics

Data Science and Analytics is a rapidly emerging field with numerous applications arising from the combined analysis of structured (relational & ontological databases) and unstructured (text, voice, image, video) data from multiple internal and external source systems. The fruits of recent progress in this field have transformed how organizations can gain critical insights from data by leveraging machine learning and analytics approaches,and have fully computerized some tasks once thought to be beyond automation. The sessions in this track will welcome oral presentations focused on applications of data science and analytics (including but not limited to data-driven models and machine learning/AI models) to deliver similar benefits for pharmaceutical development organizations.