Case
Media Recommendations Engine for NBC Universal’s Hayu
Take control of your IT cost while building modern, scalable applications that meet your needs.
NBC Universal’s Hayu service is a fast-growing video streaming service. They wanted to personalize content recommendations to increase content consumption and advertising effectiveness. To achieve this, alfa1 delivered a personalization service based on advanced Machine Learning Algorithms.
NBC Universal’s Hayu
NBC Universal’s Hayu service is a fast growing international video streaming subscription service delivered to 14 countries around the world providing more than 150 hours of mainstream content
Challenge
- Personalise user content to increase content consumption
- Increase business intelligence of consumer habits, click through advertising and conversion rates
Solution
- Core ML algorithms using Personalise, Kinesis and Firehose
- Serverless solution autoscaling for peak usage periods
- Connects to wider Content Management System for content placement across user catalogue
Result
- Initial POC completed in 3 weeks with first deployment completed in 20 weeks
- Phase 1 of an expanding service completed
More
Read more about how NBCUniversal International’s reality on-demand OTT platform hayu adds personalization and data analysis with AWS
