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Media Supply Chain & Archive
Data Lake for Media
Building a comprehensive content and metadata strategy in today's data-driven media landscape requires consolidating, analyzing, and extracting insights from content and metadata. A common challenge media organizations face is the proliferation of duplicated and closely related content in their archives.
By leveraging Data Lake for Media and generative AI, media organizations can efficiently identify and manage duplicate content within their supply chain. This process analyzes semantic and contextual similarity, enabling the aggregation of related assets, reducing redundancy and facilitating effective content management.
The demo showcases how AWS services like Amazon QuickSight, Amazon Kinesis, AWS Glue, and Guidance for Media2Cloud on AWS combined with AWS Partners Twelve Labs and IMDb power advanced media intelligence, search, and visualizations for data-driven decision-making across the supply chain.
Architecture
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Streaming data sources
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Batch data sources
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Media assets
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Consume data through visualization and API
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Streaming data sources
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Batch data sources
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Media assets
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Consume data through visualization and API
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Featured Demo Partners
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Meet with an AWS M&E specialist
Disclaimer
References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy them.
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.