One of the biggest mistakes video service businesses make when managing their viewers is to incorrectly segment their audience or to treat all subscribers the
The user experience is one of the elements that receives the most attention – and thus causes the most concern – for any business that
Content is KING! Yes, it is, but every king needs to rule his kingdom wisely to have a prosperous and long-lasting reign. A content catalog
PwC anticipates that artificial intelligence will contribute $15.7 trillion to the world economy by 2030. There is no question that artificial intelligence (AI) currently plays
Increasing SVOD competition and slowing OTT market growth will make customer acquisition a more challenging, and expensive, proposition for OTT services. As it becomes harder
A good content recommendation system is key for any content provider. Machine Learning video recommendations provide a unique opportunity for broadcasters, Pay-TV operators, TV Networks, and any content distributor to increase engagement and reduce churn through content personalization.
Currently, most recommendation systems operate using explicit information provided by the user about their preferences (for example, by scoring previously watched content) using a technique known as collaborative filtering.
Recently there has been a lot of talk about personalization in the world of video. One of the questions that my colleagues and I have
Personalisation is currently a trendy topic and is recognised as one of the key means to improve engagement and reduce churn for video service providers.