It is clear to everyone that artificial intelligence has already found its way into our everyday lives: Google completes our search requests in real time, fridges can automatically trigger orders when a certain food item is no longer in stock, and cars can slowly but surely drive autonomously.
It is therefore logical that artificial intelligence in the form of neural machine translation is also being used in language processes. The reasons for this are manifold: The pressure on the processes is increasing, the amount of content is growing and should be published on more channels, the machine translation systems deliver better results and the decision makers have got a reference to the topic because artificial intelligence is in everyone's mind and has evergrowing practical applications.
Although artificial intelligence, and thus machine translation, offers a promising future, there are still challenges in process design, from terminology, automation capabilities, quality assurance, to supply chain design.
In this webinar, we will give impulses as to what is important for the optimal and future-proof design of your individual translation process.