Description:
This presentation describes how large-scale, device-level data can provide high resolution insights into how fans consume sporting events. We are able to understand how viewers consume sports across markets and time, gaining insights into many aspects of fan behavior. The session outlines how Fastbreak AI builds predictive viewership models using this data and incorporates the results into schedule optimization. This approach allows leagues to maximize the expected value of their schedule while continuing to meet traditional scheduling objectives.
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