EVENT
How Arla scales global content with AI translation – without losing brand, tone of voice or the human touch
Scaling content across markets is no longer just a production challenge – it’s a strategic one. In this webinar, Arla and Knowit share how AI can accelerate global content operations without diluting the brand, tone of voice, or local relevance. Not by replacing people, but by designing the right balance between technology, governance, and human expertise.
About the Webinar
How do global organisations scale content across markets without losing brand consistency, local relevance, or human quality?
In this webinar, Arla and Knowit share a concrete case of how an AI-supported translation solution was built to support faster, more efficient content production across markets, while keeping editorial quality and brand integrity intact.
Why Attend
You'll gain insight into how AI can become a natural part of the content engine not as a replacement for editors, but as a tool that strengthens collaboration between markets and central teams. We’ll explore how governance, technology and people must work together when AI is embedded into global content workflows.
The session is grounded in real experience and practical considerations, including what to automate, what not to automate, and how to design AI solutions that scale responsibly.
More information to come.
Speakers
Thomas Jeppesen, Global Head of Owned Media, Arla Foods
Thomas Holds overall responsibility for the digital marketing ecosystem that drives Arla's owned reach across markets and brands. As part of Arla's in-house agency, The Barn, he works strategically with leveraging new technologies and creating global synergies – focusing on efficiency, quality, and innovative solutions within content and media operations.
Hans Skov, Senior Solution Architect, Knowit
Hans helps companies design and implement technical solutions that support their most important business objectives. As a Senior Solutions Architect, he operates at the intersection of technology, architecture, and business needs, with a particular focus on scalable and robust solutions that create real value in practice.