5 ways Prime Video improves the viewing experience with generative AI on AWS
Prime Video's growing content library made it harder for customers to find what they wanted, while marketing assets were scattered across disparate systems with insufficient metadata, impeding content discovery, rights tracking, quality control, and monetization.
Prime Video enriched hundreds of thousands of assets and improved discoverability in its marketing archive, while generative AI on AWS now powers personalized recommendations, spoiler-free recaps, sports insights, audio accessibility, and video understanding across the platform.
Frequently asked questions
What did this team achieve with this AI workflow?
Prime Video enriched hundreds of thousands of assets and improved discoverability in its marketing archive, while generative AI on AWS now powers personalized recommendations, spoiler-free recaps, sports insights, aud…
What tools did this team use?
Amazon Bedrock, Amazon SageMaker, Amazon Bedrock Guardrails, AWS Batch, Amazon ECR, Amazon ECS, AWS Fargate, Amazon S3, Amazon DynamoDB, Amazon CloudWatch.
What results were reported?
Media assets enriched: hundreds of thousands of assets; Marketing archive discoverability: improved discoverability in its marketing archive; Dialogue Boost additional languages supported: six languages (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Personalized content recommendations → X-Ray Recaps video analysis → Spoiler-free guardrail check → Prime Insights sports analysis → Rapid Recap live event catchup → Dialogue Boost audio enhancement → Media asset metadata extraction → Metadata sync to MAM.