Media Processing Workflows at High Velocity and Scale using ML – AWS Online Tech Talks – #AWS

Content owners, creators and publishers use media supply chains to package and process digital video content and programming from content producers so it can then be delivered to local affiliates and third parties as a finished program. These terms are under pressure to reduce the time and costs it takes to ingest, transcode, perform DRM, tag, archive and retrieve content. AWS orchestration, AI, and media services can help automate these workflows while reducing the costs and overhead of managing and delivering content. In this webinar, you’ll hear how AWS customers have improved media supply chains using AI in areas such as metadata tagging (Rekognition and Comprehend), translations, transcriptions, and cloud services (Elemental). You’ll learn how to use workflow orchestration to optimize velocity and scale of multi-stage media pipelines by examining serverless, event-driven and artificial intelligence M&E use cases.

Learning Objectives:
– See how AI and ML in media processing can reduce time and costs while generating actionable insights
– Understand why and how to add orchestration to performance-sensitive media workflows
– See real customer examples of media processing workflows on AWS

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit http://aws.amazon.com.

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