My guess it that there is some cross-pollination and benefits from and to both sides. Machine Learning / LLMs benefit from having higher quality data that they

My guess it that there is some cross-pollination and benefits from and to both sides. Machine Learning / LLMs benefit from having higher quality data that they can be trained from or that you can use to automatically add more relevant context behind the scenes. Semantic technologies or let's say "structured data entry" can benefit from having better auto-suggestions and validations from machine-learning. The part that I find real interesting is how we put the users in between, so they're in full control and can use AI as an "assistant", but improve on it. And that the "structured data entry" helps the users to give him structure (that will later be helpful to the end-consumers).