Nov 12 2024
Content creation has undergone massive changes mainly due to two things. The first is the emergence of a digital-first environment. The second is the shift in people's expectations of the entertainment experience they desire. The demand for immersive, quality experiences has led the entertainment industry to change its earlier techniques of content production.
AI-driven automation has played a huge role in meeting the entertainment preferences of the modern viewer. From personalizing content recommendations to improved content production and post-production, it's enriching the experience of both the viewer and the creators. Suffice to say that AI-based automation is the new director of user experience.
Keep reading as we dive deeper into how automation is influencing the world of streaming services.
Personalized content recommendation is one of the major ways in which AI-driven automation is enhancing the streaming experience. Today, your streaming service knows exactly what you want to watch. AI automation algorithms suggest movies and TV shows based on your watch history. Personalized recommendations have been employed in the past. However, it was not as accurate as it is now. The incorporation of AI into automation has made it highly precise. It feels as if you've got a personal movie curator for yourself!
This has several benefits. Among them are greater audience engagement and a more customized and immersive viewing experience. Streaming platforms like IPTV have AI-powered recommendation engines. They analyze the viewing history and user's time spent on various content types. Through this data, they recommend content that the viewer might prefer, which often turns out to be highly accurate.
Viewers can enhance their streaming experience further with an IPTV player. It allows them to access content playlists from several IPTV providers within a single app. This way, they can explore a wider variety of content and organize their preferred channels into personalized playlists. For those looking to get more information on this, the IPTV player makes streaming more convenient and customized. By catering to individual preferences, it creates a seamless experience.
Advertisements are a bane in the neck of every viewer. For a long time, ads have fallen into the category of something that viewers have to endure. AI-based automation has significantly improved this situation. Automation analyzes user data and their viewing patterns. It allows streaming platforms to serve ads that the viewer is actually interested in. This is a win-win situation for both the advertiser and the viewer. Showing such ads increases the advertiser's ROI. At the same time, it reduces the user's dissatisfaction with ads.
One noteworthy advancement to mention here is AI-powered cue points. It's a finely tuned machine learning system. It detects contextual cue points and puts SCTE markers at an optimal point in the timeline of a show or movie. It means that when someone starts to watch something, AI automatically detects natural breaks. This may be a pause in the actor's dialogue or a scene change. Based on this, it detects a point where an ad can be placed. A series of time codes and corresponding confidence scores helps you use ads to monetize your content faster and more efficiently.
Quality control is critical for the video processing workflow. Errors in video, metadata files, and audio can reduce the subscription rates of streaming services. Manual quality control is prone to errors. Humans can overlook many audio and picture quality imperfections. Moreover, as a streaming platform scales, the number of file formats also increases. This renders humans mostly unable to carry out effective QC.
Automated quality control technologies completely turn the table. Advancements, such as QC-as-a-Service in the cloud, prevent streaming platforms from buying costly on-premise QC infrastructure. QC-as-a-Service consists of a set of capabilities that automates QC job management and reporting via the provider's API. It fully integrates content validation into an efficient and scalable cloud service. By automatically detecting and repairing various types of visible and invisible errors, it makes way for outstanding video delivery.
Every advertising-based video-on-demand service in the US has a different standard for title art. It means that just coming up with a single poster for a movie doesn't get the desired results. For the content to stream on more than multiple services, one poster's DPI standards, file sizes, aspect ratios, and other dimensions can get out of control quickly.
Title art services employing AI-based automation solutions create multiple iterations of a title art. They automatically deliver it to the right streaming platform. These services generate every asset needed for delivery. By quickly generating dozens of assets aligned with delivery specs for major streaming services, such as Hulu, Peacock, and Amazon Prime Video, they help content send the right assets to every platform.
AI automation technologies are being used by entertainment leaders like Spotify and Amazon. These advancements are automating various stages between content intake and broadcast. Ultimately, they accelerate workflows, increase accuracy, and impart a great user experience. The real value of AI-based automation lies in empowering innovation and driving long-term value for both streaming services and the modern viewer. With a close look at the current situation, we can confidently predict a promising future.
Tell us what you need and we'll get back to you right away.