Machine Learning & Analytics for M&E

Automate, enrich, and innovate with AWS Machine Learning and Analytics. M&E firms are awash in data, yet most companies don't know how to unlock this value. Machine Learning and Analytics can deliver the intelligence you need to optimize business decisions in this competitive landscape by analyzing customer, content, and operational data for actionable insights to create better content, infrastructure, and monetization strategies.

Michelle McKenna-Doyle Shares How the NFL Can Take ‘Next Gen Stats’ to the Next Level

Use cases

  • Automated Metadata Generation
  • Smarter Content Creation
  • Recommendation Engine
  • Automated Metadata Generation
  • Automated Metadata Generation

    The AWS Content Analysis solution helps process, analyze and extract metadata locked in your content. This solution leverages AWS Step Functions, Amazon Rekognition (image recognition), Amazon Transcribe (speech to text), and Amazon Comprehend (Natural Language Processing) to provide richer content searchability.

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  • Smarter Content Creation
  • Smarter Content Creation

    Enable smarter, more dynamic content creation at scale using metadata extraction combined with user engagement.

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  • Recommendation Engine
  • Recommendation Engine

    Delivering personalized content at scale makes for a much more engaged consumer. Amazon Personalize automates the complex steps required to build, train, tune, and deploy a machine learning recommendation model so you can deliver personalized user experiences faster.

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Case studies and resources

F1 insights

Formula 1 uses machine learning to improve the racing experience for more than 500 million fans. By sourcing historical data and training ML algorithms on Amazon SageMaker, F1 can predict race outcomes with increasing accuracy. F1 data scientists worked closely with AWS to develop F1 Insights, which provide real-time predictions—like the chance of overtake or which driver is likely to pit first.

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Hearst

Hearst needed to develop a platform to analyze real-time clickstream events and trending content to get data to their editors in minutes. They transmitted 30 TB of daily clickstream data, from 300 websites. Enabling them to deliver more relevant content to consumers.

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NFL Next Gen Stats

The NFL captured real-time information via a radio-frequency id (RFID) in player equipment. AWS Machine Learning and Analysis was able use this data to develop new ways for visualizing the action on the field and help the NFL predict formations, routes, and key events. Plus, they were able to create deeper consumer engagement by enhance broadcasts and post-game insights from this data.

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Amazon Rekognition for M&E

Learn how computer vision technology enables media professionals to generate valuable insights at a quick pace and lower cost by automatically identifying the contents of images and video. With a few clicks, integrate artificial intelligence into your media workflows with Amazon Rekognition, a deep learning-based image and video analysis service.

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Get started

We can help you get started with a consultation from our sales and architecture organization, or you can begin your own pilot today.