Accelerating innovation: AI and data best practices for life sciences

Abstract

In this session, NetApp’s Richard Swakla and Domino Data Lab's Kjell Carlsson discuss the key trends and best practices for leveraging AI and data in the life sciences industry. The speakers explore common high-value AI use cases such as clinical decision support, self-care/diagnosis, and drug discovery. They then dive into the importance of optimizing data pipelines and infrastructure to accelerate innovation. Swakla shares insights on bridging data silos across edge, core, and cloud environments using intelligent data infrastructure. The discussion also covers strategies for managing costs while scaling AI initiatives.