Artificial Intelligence related technologies have quickly become central throughout the radio and television chain and the EBU Data Technology Seminar (DTS) is a reference for operators in the radio and television sector for the in-depth study and discussion of these technologies, applied, in general, to data available in this domain. CRITS contributed to the success of the event, which saw around 200 participants in presence and online, from the creation of the conference programme to the presentation of scientific papers. 

Maurizio Montagnuolo presented two papers entitled “An Efficient Visual Search Engine for Cultural Broadcast Archives” and “Applying Natural Language Processing to Speech Transcriptions for Automated Analysis of Educational Video Broadcasts”.