Leveraging ML Services to Enhance Content Discovery and Recommendations


ON-DEMAND


Leveraging ML Services to Enhance Content Discovery and Recommendations



Broadcast Date:
July 23, 2018

Level 300 | Use Case How To
The proliferation of digital content has consumers frustrated and unnecessarily struggling to find what they want. And with user experience at the forefront, content providers, media distributors, and tech companies are being forced to improve content discovery and personalization. In this tech talk, you’ll learn how to build your applications to deliver more relevant content by using extracted metadata. Amazon Comprehend, Transcribe, and Rekognition can organize and categorize documents, images, and videos to enhance content discovery and personalize content recommendations. We have also invited a customer to share how they used these ML services to scale content creation and used guest-generated content to significantly increase social engagement and revenue from brand-site bookings.

Learning Objectives:
• Learn how Amazon ML language services provide useful metadata that can be leveraged in ad targeting and content collection
• Learn how Amazon Rekognition automatically extracts metadata to enrich content libraries and drive successful social campaigns
• Learn how to integrate these easy-to-use, API services into your applications to deliver more relevant content for customers

Suited For: Anyone interested in machine learning and artificial intelligence

Speaker(s): Kashif Imran, Sr. Solutions Architect, AWS; Francois Deschenes, Senior Software Engineer, TINT


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