A new episode of Grande Giove, the podcast by Wired Italia, is now online, exploring a timely question: which language is best for training Artificial Intelligence?
The discussion looks at how AI translates between languages, how training data shapes model performance, and how academic research and industrial application increasingly inform one another.
Featuring our Managing Director Enrico Giannotti, and Roberto Navigli, Professor of Natural Language Processing at Sapienza University of Rome and Scientific Director of Babelscape, the episode offers a thoughtful exchange on the evolving relationship between linguistic research, innovation, and real-world AI solutions.
From Enrico’s perspective, this is especially relevant for solutions such as CABOLO, where the quality, reliability, and contextual understanding of language technologies have a direct impact on how spoken content is captured, processed, and transformed into usable information.
Watch the full interview here.
