As life sciences organizations accelerate AI adoption, one of the biggest challenges is no longer just building intelligent systems—it is establishing the evidence and controls needed to operate reliably in regulated environments.
In this webinar, Bryan Ennis, Sware Co-Founder and Chief Quality Officer, is joined by Gerardo Castaneda, District Leader, Startups Solutions Architecture at Amazon Web Services (AWS) as they explore how organizations are using AWS generative AI services to build technical foundations for evidence generation, collection, and management across the AI lifecycle. From secure infrastructure and model monitoring to auditability, traceability, governance, and operational controls, we'll discuss capabilities that customers incorporate into their compliance strategies and how leading organizations approach demonstrating AI system performance for regulatory inspection readiness.
The discussion will focus on how cloud capabilities, automation, and well-designed strategies enable organizations to adopt AI with greater confidence and control—helping teams innovate while maintaining rigor and inspection readiness.
Disclaimer: Customers are responsible for determining their own compliance with applicable regulations. AWS does not provide legal or compliance advice.
