Role of AI in Live Streaming and Webcasting

Media Entertainment Tech Outlook | Monday, July 12, 2021

Role of AI in Live Streaming and Webcasting

AI can help the live streamers by developing innovative, dependable, and stable networking solutions. 

FREMONT, CA: AI's immense benefits have a massive effect on applications for video conferencing, webcasting, and live streaming. The perceived development of emerging technology and the rapid evolution of digital platforms have generated never-ending demands to satisfy end-users' perceptions. Webcasting and live streaming services will help to fulfill these criteria in a fully integrated approach with the utmost competitiveness. For many service providers, the issue is incorporating AI with a solution that can scale and automate as per consumer preferences.

Why Live Streaming or Webcasting Need Artificial Intelligence?

Using today's live-streaming technology, practically anyone can publish or watch the real-time video with an IP-connected computer from anywhere in the world. At the same time, this gain comes with a few disadvantages, such as accessibility problems, privacy issues, and much more.

Live streaming & webcasting services are one step closer to exploiting technology at the highest level by harnessing Artificial Intelligence on a wide scale. The immense abilities and diverse learning processes make AI the best method to automate legacy systems for video streaming and broadcasting. Utilizing AI helps develop sophisticated and scalable, reliable, stable, user-specific networking solutions.

How Artificial Intelligence Can Reduce Challenges with Live Streaming & Webcasting

Interruptions during live streaming are often disturbing. But breaches of copyright are most found to be errors conducted by both first and seasoned timers. One of AI's solutions is to blur brand images and standard images that create real-time copyright infringement and reveal more solutions for utilizing AI.

Automated object detection & taking necessary actions:

With AI solutions driven by machine learning and deep learning, the streamer can classify artifacts faster and analyze streaming content to more efficiently track damaging content to secure the privacy of the victim. With technology convergence, any live stream violating the group expectations can be disrupted by the streaming network.

Content tagging to improve the user experience:

Together, YouTube and Twitch reported between March and April 2020 that 1.645 billion hours of live streaming took place in the popular space, according to statistics given online. Content labeling helps streamers address the viewer at the appropriate time and improves the user experience by having the right content source. Leveraging AI can offer a customized user experience in real-time content catalog tagging by discovering the correct content that attracts new users and turns them into active viewers.