Can ML-powered ad-targeting solutions offer notable advantages over current algorithm-based systems? John Maxwell Hobbs reports.
roadcasters are keeping a close watch on recent advances in AI and machine learning (ML) technologies and their use in areas such as Dynamic Ad Insertion (DAI). These advanced technologies have the potential to reshape the way advertisements are delivered and consumed, promising enhanced relevance, efficiency, and revenue for both broadcasters and advertisers.
Current Use of AI/ML in Dynamic Ad Insertion
AI and ML are already making their mark on DAI by facilitating real-time decision-making and sophisticated targeted advertising. According to Daniel Pike, the Chief Product Officer at Covatic: “AI/ML algorithms analyse vast amounts of data, including user behaviour, preferences, and context like time of day or content consumption patterns, to dynamically select the most relevant ad for each impression,” he says. “These technologies can predict...
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