The enormous advantages of AI have a prominent impact on video conferencing, webcasting, and live streaming applications. Deemed growth of digital technology and the rapid evolution of digital platforms unfolded never-ending demands to meet end-user perceptions. Satisfying these needs will help the webcasting and live streaming platforms into a fully automated solution with the utmost competitive advantage. But the question for many of the service providers is how to integrate AI to this solution that can scale and automate according to user needs.
The live streaming & Webcasting market is developing like never before. The recent statistics show that the market is expected to reach $70 billion by 2021. While social media and digital platforms are battling out to provide the best live streaming experience to increase their respective statistics. The businesses & governments globally today on the impact of COVID 19 when calling out for a webcast or live streaming are struggling to leverage this technology because of its setbacks.
Why Live Streaming or Webcasting Need Artificial Intelligence?
At advantage, using today’s live-streaming technology, virtually anybody can publish or view the real-time video from anywhere in the world through a device connected to IP. At the same time, this advantage comes with few drawbacks like the problem of accessibility, Privacy issues, and more.
Harnessing Artificial Intelligence on a large scale takes live streaming & webcasting service one step closer to leveraging technology at the maximum level. The vast capabilities and complex learning processes make AI the best tool for automating legacy video streaming and broadcasting platforms. Using AI helps in building not only advanced but scalable, reliable, secured networking solution that acts according to user needs.
How Artificial Intelligence Can Mitigate Challenges With Live Streaming & Webcasting
Sometimes interruptions during live streaming are troubling. And copyright violations are most often found mistakes committed by both first-timers and experienced. Blurring brand images & popular images that cause copyright violations in real-time is one of the solutions offered by AI and discover more solutions on using AI below.
1. Privacy Issues caused by live streaming:
When you live streaming for a commercial or private purpose, the streamer holds the same rights as a local broadcaster. If the streamer doesn’t own the rights then location concerns, publicity rights, privacy laws, will be violated. And the streamer may get sued by the respective organization for breaking copyright norms.
Artificial intelligence in integration with machine learning and computer vision can help steamers in identifying logos, signs, brand names, and other information that can raise copyright issues, while live streaming. Identifying and making objects unclear or less distinct will help streamers in sharing the unique content that meets user perspectives without any violation.
2. Content tagging to improve the user experience:
According to statistics provided online, YouTube & Twitch together claimed between March & April 2020, 1.645 billion hours live streaming happened in the mainstream space. Content tagging helps the streamers in addressing the audience at the right time and helps in improving user experience by offering the right source of content. Leveraging AI helps in real-time content catalog tagging to provide personalized user experience by finding the right content that attracts new users and converts them into active viewers.
3. Automated object detection & taking necessary actions:
With machine learning and deep learning empowered AI solutions, the streamer can identify objects at a faster rate and interpret streaming content to monitor harmful content more effectively to protect the victim’s privacy. With technology integration, the streaming platform can interrupt any live stream breaching its community standards.
4. Prevent copyright infringement:
Preventing copyright infringement is one of the scalable aspects of AI. Similar to content tagging, the AI tool can be escalated to identify if any copyright violations taking place during a live video streaming, and make it less visible to viewers. Leveraging AI to this extent is still on the papers of research records.
In this article, we tried to draw a line on which extent AI can be leveraged to optimize real-time live streaming or webcasting for enhanced user experience. The terms live streaming, video conferencing, webcasting, and broadcasting has gained the most popularity in the last two decades. When technology is implied in this niche sector can enhance outcomes.
Today tech organizations across the world are competing to build the best applications that scale and secure these platforms to provide the utmost user streaming experience. And AI-powered video broadcasting will add new value across the media ecosystem. If you resonate with our article, please share your thoughts on this.
If you need any help with idea validation, proof-of-concept, Data Science consulting, large scale AI implementation, Big Data Engineering, or a creative solution for your Streaming Applications. You are at the right place.
Talk to our experts