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OTT providers are quickly catching on to the benefits of user recommendation services being integrated into their platforms. However, both of the two main options for integration come with drawbacks. Off-the-shelf solutions can be costly to bring in, but cheaper custom deployments require the right expertise in-house. What's needed is a meet-in-the-middle solution that saves on expenditure and is intuitive to use, while crucially providing recommendation services that impress viewers and ultimately helps to retain them.

Personalized content recommendations are a hot topic in streaming. Extending them to your emails and other marketing messages is a logical way to increase repeat visits to your apps and counteract churn. 

Metadata quality is often the biggest challenge for any streaming service looking to increase content engagement with targeted recommendations. Can machine learning come to the rescue? 

Many streaming services have got binge-watching nailed for episodic content, keeping viewers hooked on their hottest series with auto-play of the next installment. But are you wasting a golden opportunity to recommend new content at the end of a series or when a viewer finishes watching non-episodic content? 

End-to-end video streaming company 24i has acquired data analytics company The Filter.