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.
Use cases
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Automated Metadata Generation
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Smarter Content Creation
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Recommendation Engine
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Automated Metadata Generation
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Automated Metadata Generation
The Media 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
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Smarter Content Creation
Enable smarter, more dynamic content creation at scale using metadata extraction combined with user engagement.
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Recommendation Engine
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Recommendation Engine
Delivering personalized content at scale makes for a much more engaged consumer. Amazon SageMaker accelerates the building, testing, and deployment of proprietary algorithms for large and small firms to offer relevant, personalized content.
Case studies and resources
MLB Statcast
Major League Baseball (MLB) uses AWS machine learning services to power Statcast AI — the tracking technology used by MLB to analyze player performance for every game on MLB.com and the MLB Network. In addition, Amazon ML Solutions Lab works with the MLB to continue to enhance viewer experiences with more personalized content for each market and geographic region.
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.
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.
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.
