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Data Science & Analytics
Enriching Sports Data
The Enriching Sports Data demonstration showcases a cost-effective, scalable solution for extracting sports data insights using Generative AI utilizing Amazon Bedrock, Amazon Transcribe, Amazon SageMaker, and AWS Elemental MediaLive. Ideal for tier 2 or tier 3 leagues and sports organizations, this demonstration addresses the challenge of generating valuable data from live sports content without relying on expensive data feeds. By leveraging AI to identify key actions, players, and outcomes, the demonstration shows how organizations can enhance fan experiences, create engaging content, and streamline back office operations through data-driven insights.
Architecture
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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.