Challenges
Data in the sector
Massive audiences, continuous content streams and platform competition: data and AI decide engagement and time spent.
- Recommendation, audience analytics and churn reduction
- Automated moderation and AI-assisted editorial quality
- Advertising performance and cross-channel data activation
- Telecom networks: QoS management, traffic forecasting, NetOps
By business function
Data and AI use cases
Audience and content
Audience measurement, recommendation, engagement analysis and churn reduction.
Newsroom and editorial
Assisted moderation, editorial quality, generative AI for editorial teams.
Advertising sales
Campaign performance, cross-channel data activation, advertiser reporting.
Telecom networks
Quality of service management, traffic forecasting, network monitoring.
IT and data office
Streaming data platforms, governance, cloud cost control.
References
Visian in the sector
- Publicis (Sapient, Epsilon, Razorfish): product ownership, analytics, development
- Cityz Media: support, cloud, Microsoft Fabric BI
- Orange Business Services and FDJ United: services, DevOps and QA