EBMT, one of the biggest medical registries in Europe, has rebuilt its core data system from scratch, after 20 years of service, to keep up with growing data needs, modern technologies, and the evolving needs of researchers in blood and marrow transplantation. The new AWS-based system supports data collection and analysis at scale, using cloud infrastructure and business intelligence tools to improve data quality and data usability across EBMT’s network.

AI is redefining the future. Technology is changing faster than ever; people have new ways of interacting with technology, and organizations are adapting and adopting this change. However, Trusted AI can only be built on trusted data. We will dive deep into how AWS is helping customers build a trusted data foundation as they embark on their AI journey to build outcomes that are tailored to their business needs. HEMA will present their journey towards a strong Data Platform and Data Governance strategy on AWS, and the business outcomes they achieved.

This session explores the building blocks of next-generation data platforms, with a focus on framing the right questions to unlock innovation. We’ll showcase how AWS Glue, ETL pipelines, crawlers, and data catalogs can transform raw data into analytics-ready insights. Drawing on hands-on experience, we’ll share forward-thinking strategies, lessons learned, and emerging best practices to help you architect a data foundation that is intelligent, adaptable, and future-proof.

Join Signify and AWS as we explore the journey of bringing natural language AI control to Philips Hue smart lighting. Follow their path through critical decisions around model selection, evaluation frameworks, and knowledge base architecture as they developed custom classifiers and orchestration flows to transform casual conversation into magical lighting experiences. See how AWS's evolving GenAI capabilities, from foundation model platform to enterprise-grade features, are helping organizations bring innovative AI solutions to production with confidence