The next program you watch may just be the brainchild of Artificial intelligence (AI). The media industry, with its huge treasure trove of media assets, is aggressively turning to AI for its competitive advantage.

RTVE, the biggest broadcaster in Spain with six national TV channels, two international TV channels, and five radio channels, has a 50 year old archive of video, image, audio and text data, which is growing by over one million assets yearly.  In addition to the massive data volume and broad range of date formats, these assets are in silos spread across disparate systems, with different databases and programming languages.

In the world of broadcast news where every second counts, RTVE cannot afford days in locating the right assets for its production.  Journalists need to have the image or footage of say, the winner of a major sporting event, at their fingertips without missing a beat. 

With a recent AI initiative to centralize data asset management and enable cognitive search and retrieval, RTVE has successfully reduced their time in finding contextually relevant information, regardless of format, from days to seconds by implementing a new system powered by OpenText Knowledge Discovery (IDOL).

Going forward, RTVE plans to further its success by expanding its application to leverage other Knowledge Discovery capabilities such as key concept extraction, clustering etc. to gain deeper insight into its data assets for breakthrough advances in media production.

Read this RTVE case study to find out how they have completely revolutionized the way television is produced using OpenText Knowledge Discovery (IDOL).

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The OpenText Content Services team