Source: Pixabay
Most live streams have a real person hosting the events, whether it’s on social media, for a webinar, product launch, or even live casino games. For example, there are various roulette games that are streamed in real-time to real players. The host, or in this case, the croupier, spins a physical wheel in the studio and can engage with the players throughout the game. The video stream is broadcasted to the players through the platform, providing them with a real-time, authentic casino experience.
While real-life hosts have their advantages, such as allowing players or attendees to make real human connections, they also have their downsides. These hosts are human, which means they need to eat, sleep, take breaks, and can only work for a limited number of hours each day. This is where AI-powered virtual hosts come in.
There are roughly two types of virtual hosts – those that resemble and interact with humans and those that operate using text only. In either case, this AI technology enables platforms to stream hosted events 24/7 if needed. However, like most AI products, setting them up can be costly, and programming them with various rule-based algorithms can be time-consuming.
Moderation
Live streamers have long been using chatbot tools to moderate the live chat that often accompanies the video feed. These chatbots have served several purposes over the years, such as automating replies, moderating comments, and executing custom commands. It’s only logical that the rise of AI chatbots has extended to live streaming applications.
AI chatbots are more easily customizable than their predecessors and have the ability to learn and adapt from previous interactions. This allows live streaming platforms to align the voice and tone of the chatbot with their brand guidelines, ensuring consistent brand messaging and style.
In addition, AI chatbots can boost interactivity by improving efficiency and accuracy, ensuring prompt and accurate answers for those conversing during the live stream or asking questions.
Source: Pixabay
Personalization and Localization
Statistics show that 36% of consumers believe businesses should do more to offer personalized experiences, and this percentage increases with the average household income. In fact, 74% of consumers report feeling frustrated when content and experiences are not personalized.
When it comes to live content, personalization becomes even more challenging. One of the most complex aspects is localization. The host speaks in their native language, which may render the content irrelevant for non-speakers of that language.
However, AI offers machine translation, which can not only translate written content and generate translated subtitles, but is also being tested for seamless dubbing of video content. With AI, live content can be personalized and localized in real-time, ensuring relevance for as many attendees as possible.
And there you have it – just a few ways AI can be integrated into streaming platforms to improve the accessibility, interactivity, and relevance of live streamed content.
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