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AI-Powered Live Streaming as the New Business Propeller

The world of live streaming, video conferencing, and webcasting has already been benefiting from the inclusion of Artificial Intelligence. However, the expertise and technologies are still massively undervalued as most businesses aren’t even aware of the potential of AI, especially when it comes to securing and streamlining live streams and related services.

Besides, with companies being more accommodative towards end-user preferences, the inclusion of AI and other automated solutions make more sense in the post-pandemic era. However, the integration of AI with live streaming solutions is still a complex arena for most service providers. Moreover, AI integration isn’t the only aspect to be mindful of as a streaming solution must also consider automation and scalability for catering to a diverse clientele.

Moreover, the inclusion of AI in the live streaming realm makes more sense as the market is expected to surmount the $70 billion mark by the end of 2021 and only Artificial Intelligence has the ability to facilitate such a rapid forward march.

Why Artificial Intelligence in Webcasting Makes Sense?

Webcasting and even live streaming require businesses to connect with millions of individuals, in real-time. While a majority of these streams are sent across as live IPTV services, there are quite a few privacy and accessibility issues to account for. However, AI eliminates the problems by helping businesses leverage the live streaming and IP-connected technology in its entirety. This ensures that the concerned live streaming and webcasting platforms can be projected to even third-party streaming services and devices, with zero privacy threats.

In addition to the user and business security, AI also makes the streaming solutions more scalable, provided the service provider needs to reach a wider audience in the future.

Here is How AI Mitigates the Live Streaming Challenges

The inclusion of Artificial Intelligence in the streaming, broadcasting, and webcasting realm works as a new business propeller by skilfully mitigating the challenges that were otherwise restricting the outreach of this brilliant marketing resource.

Simplifying the issues, live streams are often plagued with connectivity and accessibility issues where it becomes increasingly difficult for an interested individual to connect and respond to the real-time sessions. Besides, copyright infringement comes forth as another underrated but important threat to take care of followed by issues related to privacy and user confidentiality.

Here is how AI can help

  • Content Tagging at its best

Without the inclusion of AI, several content-rich streams might not reach the desired audience. For instance, in 2020, the live streaming arena saw a viewing time of close to 1.6 billion YouTube and Switch streaming hours, spanning across a period of two months. However, with content tagging, streamers would be able to enjoy brand interactions even via IPTV services, available over Roku, Firestick, and other high-end streaming devices. While the initial set up of Amazon Fire TV stick or any other streaming device is important to monitor, you might need to root a few of them to get access to tagged content and exclusive brand-centric webcasts.

  • Automated Actions

AI solutions infused with deep learning and ML technologies allow streaming service providers to detect the nature of the content and the possibly threatening elements. This aspect allows streamers to keep the user privacy intact whilst discouraging the perpetuation of content that doesn’t adhere to the community guidelines. While streaming services used manual strategies to previously handle the same, AI adds to the scalability quotient and makes room for large scale content monitoring, if and when necessary.

  • Zero Privacy Issues

The concept of live streaming readily stresses the rights of the streamer and even the local broadcaster who is in charge of the content. AI, clubbed with computer vision and Machine Learning tools, allow the streamer to detect and identify the content pieces sent across by the local broadcaster in an automated fashion whilst making the logos and certain signs less distinctive to protect brand privacy.

  • No Copyright Infringement

AI in the webcasting arena is best deployed for preventing brand-centric copyright infringement issues. While the local broadcaster streams content, the AI-powered streamers have the requisite technological prowess to blur out the more sensitive portions of the content.

Therefore, it is evident that Artificial Intelligence does have a role to play in optimizing webcasting and real-time streaming processes, thereby helping companies and startups get an edge over the competitors. Besides, with broadcasting expected to be an industry staple in 2021 and even beyond, the role of AI becomes all the more important in fixing the existing loopholes.

Besides, the global adoption of AI ensures a device-independent streaming strategy, which in turn allows brands to cater to a massive audience base, sans scalability issues. Then again, the concept is still in its infancy as only a handful of streamers have adopted AI as an integral part of their streaming platform.