Personalization promises high-impact engagement, but most initiatives collapse under fragmented data, weak governance, and models that don’t scale. This masterclass explores how to design the data foundations and AI strategies that make hyperpersonalization sustainable — moving beyond pilots to enterprise-wide execution.
• Why most personalization initiatives stall without solid data foundations, and how to avoid common pitfalls
• Architecting scalable personalization with clean, connected, and governed data for AI-driven workflows
• Practical strategies to align data quality, orchestration, and AI models to deliver real-time, personalized experiences at scale
• Data Foundations for an agentic workflow orchestration
• How a global organization transitioned from a centralized AI unit to a federated model, redefining roles and responsibilities across business functions
• Lessons learned from building a cross-functional AI culture — from AI product owners and prompt engineers to data domain stewards
• Practical insights into business-user enablement, governance balance, and training programs that make AI adoption sustainable and scalable
• Insights into how new team structures align with regulatory expectations and support
scalable, cross-functional AI deployment.
Check out the incredible speaker line-up to see who will be joining Jose Ramon.
Download The Latest Agenda