In the highly regulated Life Sciences landscape, the pressure to accelerate "Time to Market" while maintaining absolute GxP compliance has never been higher. Traditional, on-premise SAS 9.4 environments—while stable—often struggle with the scale of trial growth, access for different geographical regions, outsourcing, trial feeds, and the integration of open-source languages like Python and R. The SAS Viya implementation journey represents a shift from legacy silos to a cloud-native, high-performance analytics ecosystem with AI capabilities. Learn how you can plan your future state with SAS Viya in the cloud.
Discover how life sciences organizations are rethinking their path to modernization with SAS Viya—moving beyond simple lift-and-shift to unlock true cloud-native AI capabilities. In this session, Dinaker Juvvadi, Head of AI & Data Analytics for Spotline Inc., breaks down the real business drivers, from accelerating clinical trials to enabling scalable, multi-team collaboration. You’ll get a practical roadmap for success, including why pilots, phased rollouts, and user-centric design are critical to adoption. Plus, see how emerging AI features could dramatically boost productivity—helping teams do more with less and bring innovations to market faster.
