Artificial Intelligence in Media Entertainment and Sport 2025

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Out of the key use cases for media entertainment and sport, 12 emerge as top priority plays at the industry level:41World Sailing, in collaboration with SAP , launched an AI initiative enabling real-time analysis and visualization of race rankings, average speeds, manoeuvres and other key data, enhancing the fan experience. Since 2021, more than 1.9 million sailing enthusiasts have benefited from these insights. Expensive wind sensors have been replaced with virtual sensors that capture more than 160,000 wind directions annually. This technology has been deployed at international sailing events such as the Olympic Games and the World Cup Series.40CASE STUDY 14 Enhancing fan experience during live sport events GenAI use cases – value vs. readiness FIGURE 4 Content/asset creation Content/asset management Distribution Monetization Customer experience Readiness (technology, data, operations and people)Value Revenue increase Spend reduction Risk minimalization Sustainability Safety LowLow HighHigh Automated content curationArchive transformation Scale distribution Smart idea generationIntelligent editing Content moderationMarketing optimization analyticsSmart ad placementsPersonalized content recommendation Viewer journey analytics Format conversion Content viewing patterns Optimized posting schedule Content summarization and synthesis Conversion propensitySentiment analysis for campaign evaluationAutomated email campaignsContent engagement analysisContent feedback evaluationChatbot enhancementVideo captioning Optimized experienceProduction planning Topic trend analysis Content copywriting generationWhitespace analysisTargeted dynamic ad content generation Storyboard/script creation Content search using LLMContent creation Metadata tagging and generation Translation and localization Auto-dubbingInteractive narrative/gamingWindowing strategy Launch scheduling Source: Accenture Research.GenAI can automate real-time data analysis and visualization, minimizing the time and resources required to gather and interpret relevant information, enabling cohesive, data-driven consumer experiences. This is particularly impactful for live events, where fans can access or request content and insights, such as player statistics, that are automatically generated by genAI. Customer experience Artificial Intelligence in Media, Entertainment and Sport 17
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