Solutions for the media and entertainment industry
The media and entertainment industry captures one of the largest market shares. It is comprised of businesses that produce and distribute content, such as motion pictures, television programs and commercials, streaming content, music and audio recordings, radio, book publishing, video games, and so on. With the COVID-19 pandemic greatly impacting and accelerating shifts in consumer behaviors, this industry is seeing trends such as creating more virtual, streamed, and personal content. It is all the more important for media businesses to harness the power of cloud computing and reach their customers in more personalized and innovative ways.
Microsoft's Azure and other offerings are committed to empower media and entertainment businesses to achieve more:
- accelerate content creation,
- provide cost-effective content management platforms,
- optimize and personalize content delivery,
- modernize collaboration.
To learn how Azure can provide an intelligent cloud backbone to content owners and creators, visit Azure for media and entertainment. Microsoft offerings are transforming and empowering media businesses; see some case studies at Intelligent Media and Entertainment.
Architectures for media and entertainment
The following articles provide detailed analysis of architectures developed and recommended for the media and entertainment industry.
| Architecture | Summary | Technology focus |
|---|---|---|
| 3D video rendering with Azure Batch | Use Azure Batch as a powerful yet cost-effective alternative to expensive high end computing resources, for 3D video rendering. | Compute |
| Digital image-based modeling on Azure | Build a high-performance and scalable image-based modeling architecture using Azure infrastructure-as-a-service (IaaS). | Compute |
| Image classification on Azure | Quickly build an architecture to process, classify, and analyze images, using Azure Computer Vision API. | AI/ML |
| Scalable personalization on Azure | Build a content-based personalized recommendation system for customers by learning their preferences from past purchases and interactions. | AI/ML |
| Analyze news feeds with near real-time analytics | Build a pipeline for mass ingestion and near real-time analysis of documents coming from public RSS news feeds using Azure services. | Analytics |
Solution ideas for media and entertainment
The following are other ideas that you can use as a starting point for your media and entertainment solution.
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