Uses Of AI at Netflix

 

Netflix is one of the most downloaded and highly rated streaming services in the world, with a wide variety of TV shows, Movies, and Documentaries. They spend an immense amount of money and time not only making the shows but planning them, considering their audience. To entertain the audience with different demographics and preferences, Netflix often produces content considering the regional preference of shows, global trends, and preferences among the different age groups. To do so, Artificial Intelligence plays a vital role.

AI at Netflix app is used in the following ways:

• Thumbnail personalization

• Optimal streaming quality

• Tailored movie recommendations made just for you 

Let’s dive a little deeper into these three applications of AI at Netflix.

1. Thumbnail Personalization

According to studies by Netflix, 75% of the audience prefer to watch the show based on the thumbnail as the title only assists subscribers in determining whether they would like the show or not. Since then, Netflix has put extra effort into personalizing the thumbnail based on the audience's preference. At the same time, you may find different thumbnails appearing for the same show in different profiles. For instance, the thumbnails for the same show are in three different profiles.

Each thumbnail is selected based on the algorithm, based on which the user preference is recorded based on past viewing history relying on the thumbnail. Every show has a variety of thumbnails aimed at different sets of viewers. It helps Netflix to identify the user genre too.

2. Streaming Quality Optimization

It is tough for Netflix to provide the best streaming quality for all its users and the low-quality data increases the bounce rate. Artificial Intelligence developers have done a phenomenal task of predicting the need and positioning assets at server locations in advance. It allows users to download high-quality videos without any interruption.

3. Personalized Movie Recommendation

Netflix allows multiple user profile creation from a single account, and each profile shows the user different recommendations based on their view history. Although it sounds common, it results from quality ML and AI technology.

The more time the user spends on the platform, the more relevant recommendations will be shown. Netflix shows benefit a lot from this technology as most viewers pick the shows to watch, selecting from the recommended shows, and it has been proven very effective.

Wrap Up:

Netflix has utilized multiple different technologies such as Artificial Intelligence, Machine Learning, and Data Science to enhance the user experience, and it is also giving them positive results. Recently, the new feature "Fast Laugh" is also becoming popular among users who admire short videos similar to TikTok and Instagram Reels. This feature doesn't allow an option to download but requires the least amount of data to stream the video and relies upon the preference of the users and its view history. It is also a good feature for Netflix to push content that may seem relevant to user view history, and they may find that interesting; for instance, viewers who like "Friends" being recommended short clips of "How I met your Mother" or "Two and a half men" is common.

Streaming Services like Netflix, Amazon Prime, Disney + Hotstar benefit greatly from these trending technologies. To keep improving their standards, they hire Data Scientists, AI developers, and ML developers with top-notch skills and creative approaches to provide outstanding services to their subscribers.