Tealium Nordics Hyper-Personalization Masterclass

Speaker: Knud Hjalmar Back Kjærsgaard | Senior Specialist Commercial Excellence, Nykredit

Scaling a consistent customer experience across Nykredit is a significant architectural and organizational challenge. Knud will share Nykredit’s roadmap for using Tealium as the foundation for a standardized data collection and tagging model, connecting cross-device and offline interactions, from physical meetings and phone conversations to websites and online chat.

By creating a real-time, AI-ready context layer, Nykredit will bring customer sentiment and behavior together to support more relevant, timely and seamless conversations.

The session will also unpack the coordination required to move from fragmented data to an enterprise-wide model, with six departments working together in a complex, highly regulated environment.

Speaker: Steve Overton | Director, Solutions Consulting - Northern Europe and MEA, Tealium

AI agents act quickly, but their results depend on the freshness, quality, and consent of the data behind every decision. Fragmented, or non-consented customer data can lead to irrelevant experiences, unreliable outputs, and avoidable risk.

Join us for a practical look at how organizations can prepare customer data for AI. You'll learn how real-time collection, identity resolution, governance, and enrichment create trusted, inference-ready context for the models and agents in your stack.

We'll show you how to deliver the right customer context to the right system at the right moment, helping your teams move from AI experimentation to production with confidence.

Speaker: Marcin Denisiuk | Principal CDP Strategist, Tealium

What does it take to make every customer interaction feel timely, relevant, and genuinely useful? Hyper-personalization depends on three capabilities: the accuracy to understand each person, the relevancy to deliver the right message, and the agility to act before the moment passes.

In this session, discover how Tealium’s real-time context engine brings together unified profiles, trusted data, and instant activation to connect fragmented customer signals with the AI models and agents shaping next-generation experiences.

You will see how a universal data layer simplifies integration and helps brands move from AI experimentation to accurate, relevant, and adaptable customer experiences at speed and at scale.