Today, customers are empowered by choice and expect personalized experiences from their digital content, whether that’s videos, streaming music, or online gaming. You need a well-designed direct-to-consumer experience that keeps them engaged. Streaming media platforms from Youtube, Netflix to Amazon Prime are heavily reliant on recommendation systems that directly interact (usually behind the scenes) with users every day. Thanks to AI, machine learning, and data science for having totally disrupted the way media and entertainment industries are operating today.
Alie is an AI-powered Recommendation Engine for streaming media platforms that are looking to create a personalized user experience across websites and applications. Alie’s unique machine learning algorithms are designed to analyze user data and recommend personalized content in real-time with impeccable accuracy. Alie helps you differentiate your user’s experience through personalized content.
Identify users and their accounts across the digital properties, match anonymous and known users to named profiles, tailor customer identity matching policies, and build more accurate customer records.
Automatically catalog all products, categories, and content and their associated metadata to power machine learning algorithms. Capture referring source, viewer ratings, viewing history, etc. Catalog Information about the categories, year of release, title, genres, and more.
Data is the powerhouse of any recommendation system. However, human capabilities don’t suffice to make sense of the data explosion. Thanks to the information age, with the advent of artificial intelligence businesses now, can analyze and extract actionable insights from huge datasets, especially for streaming media platforms. Alie an AI-driven recommendation engine parse through every minute and hidden factors within your customer data to understand their choices better and provide real-time recommendations.