June 10, 2020
IT teams in the life sciences have always been at the forefront of employing modern technology. From ELNs, LIMS, SDMSs, and Cloud storage, to Data Lakes and more recently data science technologies for machine learning and AI. While each of these technologies have supported the innovation goals of R&D organizations, analytical data management has remained one of the most challenging data componentsfor the pharmaceutcial industry. Analytical data is simply difficult to manage and utilize effectively, and is particularly difficult from an IT perspective due to its heterogeneity, large file sizes, and a lack of systems that handle analytical data in a chemically intelligent way that meets scientific need.
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Hans de Bie
Senior Director, Solution Delivery, ACD/Labs
Mark Meyers
Vice President, Global Sales, ACD/Labs
Sanji Bhal
Director, Marketing Communications, ACD/Labs