If there’s one common theme in today’s entertainment industry, it’s abundance. Users are completely spoilt for choice, and it has even led to the concept of Netflix paralysis. This is where users have so much to choose from that they can’t settle on a selection.
Artificial intelligence has the power to sort through the clutter and make content more personalized for different users. In the future, this could lead to seemingly scaled down entertainment platforms, where individuals only see the content that’s relevant to them.
Online Entertainment Platforms Spoil Users With Choice
In the vastly competitive world of online entertainment, offering an incredible quantity of options has been one of the main methods that companies have used to win over the most customers. Netflix may have been where it all began, but it has wrestled for the top spot with various others like Disney+ and HBO Max in recent years. It has found, though, that despite ‘Netflix paralysis’, providing the highest number of television series and movies tends to be the winning formula.
The same can be seen in other areas of entertainment, including in the gaming and iGaming market, where the top online casino platforms are the ones that give players the most options. For instance, the Hippodrome online casino offers hundreds of games for players to choose from, along with traditional slots and live casino options. This has been proved as the best way to appeal to a broad demographic, as there is something that suits everyone’s needs.
AI Will Hyper-Personalize Platforms for Different Users
Hosting a range of content that can attract a wide range of diverse users is clearly a good thing for entertainment platforms, and the ones that do this have the greatest chance of success. However, these services would be even better if they could only show what individual people want to see and remove the rest of the noise from their decision-making process.
One of the primary focuses of AI development is in personalization, with Amazon Web Services offering generative AI tools like Bedrock and MediaTailor for tailoring metadata in real-time. These systems analyze viewing history, behavioral signals, and metadata to remake channels on-the-fly, and even have the capability of customizing ads to match each viewer’s profile.
When technology like this gets applied to entertainment platforms, there’s the potential for these services to adapt to different people’s preferences in real time. The more data that users provide by hovering over, clicking, or viewing different content, the greater the personalization could be.
There are loads of other futuristic ideas that could help to improve personalization as well. For instance, entertainment platforms could one day be integrated with wearables like smartwatches and rings that can detect people’s moods. Then, the entertainment service could present offerings that are going to most appeal to the viewer at that particular time.
In a few years’ time, as AI development rapidly progresses, entertainment platforms could look a lot different to how they are today. They will still have the vast amount of content that they have now, but only some of these offerings will be shown to users. AI will help people zone in on what they most want to watch or play.
