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
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