Webcast on-demand: Media processing workflows at high velocity and scale using orchestration and machine learning

Click here to watch the on-demand version of Media Processing Workflows at High Velocity and Scale using Orchestration & Machine Learning

Level 200 | Use Cases How To
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 teams 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

Who Should Attend: Anyone working on video workflows

Speaker(s): Andy Katz, Senior Product Manager, AWS Step Functions, AWS

Originally Aired: March 28 | 1:00 PM – 2:00 PM PT (4:00 PM – 5:00 PM ET)