Media and entertainment in the cloud

Deliver a more customized experience with data analytics and machine learning.

Entertainment powered by the cloud

Media and entertainment organizations are turning to the cloud to optimize data storage, enhance video production workflows, and create a more direct and personalized distribution of content. Rackspace Technology™ works closely with you to apply data analytics and machine learning to help you understand the demands of your growing audiences, so you can deliver a seamless user experience.

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Use cases

Expedite the path to innovation and reduce time-to-market by getting rid of capacity constraints, enabling you to securely manage petabytes of data while taking advantage of a virtually unlimited scale in your production environment.

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Leverage the highly resilient, available and scalable clouds to distribute content to a widespread audience, while reducing costs with on-demand, pay-as-you-go capacity and pricing. Enable seamless delivery of content, whether on-demand or live, while achieving nearly zero downtime.

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Simplify operations and maximize the value of your content with services for each step in the media supply chain. By leveraging automation tools, you will be able to optimize time and efficiency when rendering, processing, storing and monetizing your media content.

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Unlock the value of your data and automate manual processes to deliver personalized insights. With AI and machine learning services and integrated analytics, you’re better positioned to understand your audience and deliver recommendations based on their preferences.

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Improve workforce efficiency and customer satisfaction with intelligent solutions powered by IoT applications and backed by a data analytics framework. Rackspace Technology has experience developing IoT-enabled apps that allow you to employ intelligent decision making, while accelerating innovation with cloud native technology.

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"My team was swamped and the Super Bowl was a huge undertaking. Rackspace Technology helped set expectations for us and handled any and all AWS issues we had."

Dang Tran, Director of Data Intelligence, Samsung See the Case Study

See More Case Studies

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