With no competition for consumer acquisition, the streaming sector is currently at its pinnacle of success. The entire ecosystem has been created by streaming service providers so that clients never get bored of perusing the content libraries given by OTT platforms.
To keep users engaged with the material, OTT service providers create compelling content 24 hours a day, seven days a week. Because of the fierce rivalry, OTT platforms are currently researching content development in many niches. Furthermore, in order to improve streaming functions and engagement, the streaming business has enlisted the assistance of AI technology to make the end-to-end streaming cycle easier to handle.
The top three AI technology applications that have improved streaming experiences-
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Personalization of content:
Streaming platforms have benefited from artificial intelligence and machine learning since they enable businesses to customize content recommendations for each unique user, therefore enhancing the user experience.
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AI technology analyses watch history, search terms, average time spent on the material, regional movie/series played, and genres chosen, and generates a tailor-made recommendation page based on the report.
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Artificial intelligence has made it so enticing to customers that it takes less than a second to grab their attention, from choosing the number of series/movies presented in the row to playlists, latest releases, and Top 10 series based on your location.
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AI-powered recommendation engines are sweeping the streaming market, with OTT behemoths such as Netflix, HBO Max, Disney+, Amazon Prime, and others utilizing them.
Take a look at How Is Data Science Powering OTT Platform to Multi-Dollar Business.
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Streaming video in high HD:
The greatest Artificial Intelligence algorithms compare the current set of data to the conditioned one. Video streaming is the best illustration of this. The AI technique upscales video quality when a video is broadcast by comparing the low-resolution video to high-resolution data frames in the database.
Current video players feature many video resolution configuration choices to improve user experience, such as:
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Auto adjustment (in which video resolutions are modified based on network speed)
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Higher image quality (conditioned to use more data than standard playback)
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Data saving (the process by which the system adjusts video quality to consume less data)
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Set of advanced resolutions (from 144p to 2160p)
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Services for voice recognition:
Gone are the days when users tried to find that one song they were humming but couldn’t recollect the words or the name of. Considering the multitasking nature of listeners, who do not have time to manually search for music/video and prefer contactless media streaming, AI technology has developed voice recognition solutions that capture the user’s speech and begin finding the perfect match for the word/key given.
How does it function?
When the voice recognition software detects the user’s speech, it stores the keyword pronounced by the user and begins mining a pile of songs stored in cloud storage to find the right song/video that matches the keyword. This type of AI technology deployment has proven to be the most effective in terms of improving user experience and increasing user engagement with streaming service providers.
Amazon Music and Apple Music, two OTT industry leaders, have used voice recognition services, which have helped them develop a devoted client base and produce revenue with optimum customer retention.
Final thoughts:
Streaming service providers must update their offerings with cutting-edge technologies if they want to maintain their position at the top of the client retention funnel.
The adoption of AI in social media technology has aided the streaming sector in enhancing user experience, acquiring customers, and earning targeted income. As a result, ready-to-use enterprise-grade OTT systems are increasingly acceptable to online streaming service providers, content producers, publishers, and broadcasters.
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