Sports content in streaming mode opens up many online opportunities. The idea is to enhance the viewer experience. Technology such as ML, AR/VR could be used to do so. On TV, broadcasters simply present facts and metrics. Online there are opportunities to increase viewer engagement.

ML could be used to identify important events and objects in live streaming content across different sports. The data collected over time could be used to build proprietary ML models. A dashboard could be provided for the broadcasters to employ ML models and present highlights and key moments as per the requirements. There could be another advantage by using digital technologies. There could be predictive player analysis. Data points are collected in real time, say in a game of football. These are analysed during matches in terms of a players technique and performance. Teams are in a position to decide which player to replace in what position during the match in real time. The data points could be given to teams and coaches for an in-depth analysis of players. It could help in planning training requirements of the players.

ChatGPT could be used to bring D2C experience. Consumers can chat with the models using ChatGPT and get a predictive analysis based on real time match data and historical player data. ChatGPT integration allows viewers to search and close on a specific moment in a match or tournament. ChatGPT serves as a chat assistant for coaches. It could be queried to get personalised training insights for the players.

Startups in this field offer all these benefits to the viewers. Videoverse is one such startup that wants to ride on online sports content with its AI capabilities.