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.

Air France KLM partnered with Datashift to tackle data silos, regulatory complexity, and fragmented access by building a central data marketplace. Using Collibra and Google Cloud, they now empower the organization with trusted, governed, and self-service data to support critical operations and decision-making.

Sligro Food Group, Dutch market leader in food service, needed to centralise data to improve retail decision-making and stay competitive. Moving away from on-premise databases, they simplified integration to GCP. Join this session to learn why centralised data is key for Sligro, why enterprises choose Fivetran over legacy tools, and how to integrate data into the cloud for real-time analytics.

Veel organisaties worstelen met een versnipperd datalandschap vol scripts en ETL-tooling die alleen door experts begrepen wordt. Ploeger Logistics laat zien dat het anders kan. Samen met Infotopics migreerde de logistiek dienstverlener haar complete data-logistiek naar de cloud – zonder verlies van continuïteit. Het resultaat: één schaalbaar platform, met een beter datafundament voor de hele organisatie. Tijdens deze sessie ontdek je de keuzes, obstakels en impact van deze transformatie.

Discover how to design and deploy powerful multi-agent systems on Google Cloud. Cloud & AI Consultant Timothy van der Werf demonstrates how agents collaborate, share tasks, and autonomously handle complex processes using technologies like Agentspace. This session delivers practical examples and insights for anyone looking to apply AI to data-driven innovation, customer engagement, or operational optimization.

Unlock efficient AI! This playbook explores Small Language Models (SLMs) as a cost-effective alternative to large LLMs. Learn to select, deploy (local/cloud), and utilize these powerful, often open-source models for high-value, targeted tasks.