How do you prepare a global industrial business for AI? At Secil, the answer was data governance. In this session, Ricardo Carvalho shares how the team replaced siloed systems with a unified data platform using Domo, delivering enterprise-level analytics, smarter operations, and a foundation for scalable AI that drives real outcomes in just 18 months.

How do you enable thousands of users to confidently work with vast amounts of data? For PlayStation, the answer lay in a hub and spoke model and an approach that combined governance with community.  

In this session, Oleksii Zakrevskyi, PlayStation’s Business Intelligence Tech Lead, will share how they built their hub and spoke model that ensures secure access, while fostering adoption through collaboration and shared standards. The presentation will also explore the user experience innovations—from custom home pages to consistent design—that make data rapidly discoverable and trusted. A fireside chat and Q&A will follow.

Most AI Agent projects stall before reaching production. This session shares lessons from real organisations in manufacturing and retail that have deployed operational Agents using live data, clear ownership, and trusted outputs. It focuses on the practical challenges, unexpected blockers, and what it takes to turn ideas into action.