Concept for Generative Artificial Intelligence Structure, Strategy, and Capability for Sports Media

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Originally Aired - Sunday, April 14   |   10:20 AM - 10:40 AM PT

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The idea is to differentiate the media product by enabling a Generative AI capability that allows viewers to engage a digital assistant, or via other means, to provide a desired ‘look and feel’ of the “on-air” presentation (using the core capability of component acquisition) and generate a real-time view of the game based on the deep learning enriched ML + AI. For example, while watching the Cardinals on an RSN network, or MLB DTC... a viewer can say, "Alexa, show me this game in the 2010 view using Joe Buck as play-by-play and talent x as the color commentators. Enable pitch tracks and most recent score box technology.”

This is most powerful at the league level. For example, by using the entire MLB archive, the league may implement novel tasks such as, "Alexa, show me this game using the ESPN 2009 look and feel with Harry Carry as commentator" and quickly switch to other profiles that exist in the archive.

Presented as part of:

Generative AI for Media


Jesse Pitt
Specialist Leader