Where AI Futures Meet
How do you understand and be understood by all customers? Multilingual AI requires something far more powerful than prompting: context engineering.
The competitive edge is no longer in how you ask, but in what your AI knows. This event at Berlin’s Merantix AI Campus explores how leading global organizations are building structured, multilingual context at scale—turning fragmented data and content into strategic assets such as knowledge graphs and aligned content repositories. Linguistic assets that enable smarter, more reliable AI.
What does it take to operationalize this shift? We’ll dive into the rise of Language Operations, the push for single sources of truth, and the real-world challenges of scaling AI across languages and markets.
If you’re thinking about how to global-proof your AI strategy in a world shaped by LLMs and agents, this is where the conversation starts.