The latest developments in AI rebooted the industry's spirit and drive for innovation. As the hype seems to have cooled down, we are now in a different place where we can realistically assess what seems to be a dead end and what has worked.

There is a delicate space where Tech Comm connects and overlaps with Localization. We no longer live in a world of source content and target moving in a cascade process. Spreading multilingual information is now easier than ever, and it also means the traditional translation model is no longer catching up.

Business-wise, NMT has not entirely solved this problem for small and medium-sized projects in specialized domains and less common languages. All this sparks the need to innovate and apply automation and AI-related technology in all parts of the content life cycle. However, it is a double-edged sword and brings some new challenges.

In his presentation,  Agenor Hofmann-Delbor will cover:

* Why traditional CAT tools with AI plugins fail to get the best of the current capabilities of LLMs.

* How the common need for automated publishing can worsen the process, and how to fix it.

* How a team of authors and localization engineers can find their separate - yet complimentary - areas to improve their everyday efficiency with LLMs without throwing away the years of standardization.

* What are the missing pieces of a puzzle on our side, and how we can help AI in helping us more.

* How multimodality of LLMs can open entirely new areas of improving efficiency.

* How can LLMs help with content which has never been included in their training data.

Host organization: 3di Information Solutions Ltd.