This presentation covers the increasing complexity and evolving needs in data analysis and informatics within the therapeutic development field. The discussion highlights how the growth in therapeutic options such as multi-specific and recombinant proteins, gene and cell therapies, and the increasing volume of lab data are driving the need for advanced data handling. Carlson emphasize the importance of automation in laboratories, which has enabled the generation of large amounts of data that need to be effectively managed. Also noted that teams are now more diverse and geographically distributed, making collaborative decision-making more complex and critical.

The panel discussion in the US brought together senior managers and experts who shared their insights on the challenges and changing needs in their organizations and across the industry. The conversation touched on key topics such as data segmentation, heterogeneity, and the integration of different data types. The experts shared their experiences with data management systems, highlighting the necessity for flexible, robust systems that can adapt to new technologies and methods. They also discussed the importance of automation in increasing productivity and ensuring consistency in data processing, allowing experts to focus on more complex and critical tasks.