How Using AI for Video Streaming Helps Broadcasters

Businesses use videos for various purposes, from training employees to engaging their target audiences with educational content.

According to Wyzowl, 91% of businesses use videos for marketing purposes, and 90% of those who use videos claim they deliver a good return on investment (ROI).

AI for video - use over time

To host and stream these videos, businesses can either use free or paid video streaming platforms. While free platforms offer basic features, they often don’t deliver a great streaming experience to users. This could result in lost business opportunities for broadcasters.

That’s why it’s important to use an advanced, AI-powered enterprise video platform that helps you deliver a seamless video streaming experience to your audience.

Table of Contents:

  • 4 Uses of AI in Video Streaming
  • Why Should You Use AI-Powered Video Streaming Platforms?
  • FAQs

There are numerous uses and benefits of using artificial intelligence (AI) for video streaming and we’ll discuss them in this article.

Let’s get right to it.

4 Uses of AI in Video Streaming

Artificial intelligence has many applications across industries, and video streaming is no different. 

From automating repetitive tasks to tackling complex processes that would otherwise be almost impossible to accomplish, AI can help across the board. Let’s discuss the four most common uses of AI in video streaming.

1. Quality Optimization

One of the biggest benefits of using AI for video streaming is that it automatically optimizes video quality based on various factors. These include video complexity, bandwidth availability, and the device used.

AI can calculate the optimal bitrate to ensure that bandwidth is used wisely, while still maintaining a high video quality. This helps broadcasters provide a great video streaming experience to their audience, while also saving money.

Here are some use cases of AI in video streaming for optimizing video quality and bandwidth usage.

  • Adaptive Bitrate Streaming: AI can adjust your video’s bitrate in real-time, based on a viewer’s device and bandwidth. This avoids video buffering as AI will dynamically adjust video quality to provide a smooth viewing experience. This is good for your business because most people would leave if the video streaming is not smooth.
  • Context-Aware Encoding: This is another video quality optimization technique where AI adjusts video quality and bitrate based on a video’s content. More complex scenes would require more bandwidth while simpler scenes won’t. AI can adjust the bitrate and latency depending on the complexity of video content. This can help you save money on storage costs and bandwidth use while providing a great streaming experience to your audience.
  • CDN Optimization: Most businesses use a content delivery network or a multi-CDN solution to streamline video content distribution. AI can optimize the process by predicting video traffic patterns and storing video content on servers closer to high-demand locations. It can also prevent overload on any server, by distributing content evenly across servers. CDN optimization ensures that videos load faster for your audience, and your business communication gets across seamlessly.
  • Error Detection and Correction: Lastly, AI can help you improve the quality of your video streams by automatically detecting and correcting issues. It can easily resolve video quality problems like glitches or frame drops to provide an enjoyable streaming experience to viewers.

Overall, artificial intelligence can significantly improve the quality of your business’s video streams, while saving time and money. Use professional live streaming software with AI capabilities to capitalize on these benefits.

Dacast, for instance, offers cloud transcoding services that enable adaptive bitrate streaming. Using this, you can ensure that their videos adapt to each user’s device and available internet bandwidth.

Dacast’s VOD hosting solution includes all of the features you need to encode your videos.

2. Copyright Protection

If your business regularly creates and shares video content that is freely available for public viewing, chances are that someone may use it for their benefit. That’s, of course, not good for your business.

AI can help businesses prevent this situation and protect your content from being reused by unauthorized people or entities. It does this using a technique called digital foot printing.

This is how it works:

  • AI will create a unique digital footprint for each video your business shares online.
  • It will then regularly monitor and track these digital footprints across various platforms.
  • If it finds any unauthorized use of your videos, it will alert you and you can then take the necessary action.
  • Some AI tools can also send automatic requests to take down these unauthorized videos.

Additionally, using secure video streaming methods and platforms can help you ensure the privacy and security of your video content.

Dacast, for example, offers various security features, such as geo-restriction, domain restriction, and password protection.

password protected live streaming
Make your video content secure and accessible only by qualified or approved people with password protection.

3. Video Indexing

Large businesses that regularly use videos for sales or marketing purposes, often have vast content libraries, which can be difficult to manage.

Trying to index and organize video content manually takes more time and effort than most businesses are willing to devote. If you can relate to this, then AI can help.

AI offers offers a cost-effective and easy solution to this problem. It can automate the tagging and indexing process, improving video organization within vast content libraries. Of course, you’ll need an AI-powered video content management system to achieve this.

Here are some AI technologies that help with this process.

  • Automatic Metadata Generation: AI tools have become quite adept at analyzing video content and generating metadata to understand video content. This includes understanding a video’s context and themes, which helps tag and index videos properly.
  • Speech Transcription: There are AI tools that can understand and transcribe the spoken words within a video. They can also automate the process of closed captioning and subtitling. By converting speech to text, these tools make videos more searchable, just like any other written content.
  • Facial Recognition and Object Tagging: AI can identify and tag people, objects, locations, etc. within a video. This helps with indexing videos and making them more searchable.

The use of AI in video streaming is not just beneficial for broadcasters, but also for their viewers. By optimizing video indexing and content management, AI makes your videos more searchable.

Users can easily find the right videos if a business uses a good video marketing platform that uses AI to manage content. We’ll discuss this further in the next section.

4. Localization and Personalization

Machine learning, natural language processing, and computer vision are some of the most revolutionary AI technologies that are changing the video streaming landscape.

These help AI to understand video content better so streaming platforms can deliver the most relevant content to users. With the right streaming services provider, businesses can improve the discoverability of their video content.

Using machine learning, video streaming platforms can understand user preferences and provide personalized content recommendations. This is great for your business if you want to engage your audience with related content. After all, relevant and useful content is a great way to build trust and win new customers.

Another benefit of using AI in video streaming is that it helps provide a localized experience to a global audience. 

AI-powered video streaming platforms can adapt to regional language and cultural preferences. From recommending the most relevant content to offering subtitles in various languages, AI can help your business cater to diverse audiences.

Why Should You Use AI-Powered Video Streaming Platforms?

ai for video streaming
In the age of AI, look for advanced, enterprise video platforms that help you deliver a seamless video streaming experience to your audience.

Using AI for video streaming has many benefits for both users and broadcasters. Let’s discuss some of the most important ones.

  • Cost Savings: AI can automate quality optimization to ensure that the broadcaster’s network bandwidth and storage are properly utilized. This results in significant cost savings.
  • Enhanced User Experience: By adjusting the bitrate and latency depending on a user’s device and internet quality, AI can ensure consistent video streaming, without buffering. This improves user experience, which is great for business broadcasters if they use videos for marketing and sales purposes.
  • Enhanced Security: With AI monitoring the digital footprints of videos, broadcasters don’t need to worry about unauthorized content use. AI will flag and alert them if any issues arise and can even notify the streaming platforms to take down the unauthorized video.
  • Time Savings: AI can perform complex tasks, such as tagging and indexing videos within a content library, to save broadcasters’ time. These processes are tedious and time-consuming, but AI makes them effortless.

If your business uses video marketing and relies on it for generating business leads, then you must provide a great viewing experience to your audience. Using AI for video streaming offers many benefits, but you need the best live-streaming platforms to take advantage of these.

So, choose your streaming platform wisely and benefit from all the AI has to offer.

FAQs

1. How is AI used in video streaming?

Artificial intelligence can help improve various aspects of video streaming from content quality optimization to copyright protection.

However, the biggest use of AI in video streaming is that it helps in improving video quality and optimizing bandwidth use in real time. This helps both broadcasters and viewers as videos optimally utilize bandwidth and avoid overuse.

Using AI for optimizing video quality also avoids issues like buffering, which often cause people to abandon a stream. This translates into lost business opportunities.

2. Can AI create video content?

Yes, there are AI-powered text-to-video generators that can create videos based on textual cues and descriptions. However, these tools often require some human input to deliver the best results. 

More often than not, businesses use these tools to create a basic version, which they edit to improve video quality.

3. What is the future of AI in video streaming?

As AI technologies like machine learning and computer vision evolve, analyzing and discovering video content will become much easier. It will also take personalized video recommendations to the next level and provide individualized streaming experiences to users.

While AI does help with quality optimization, the technology will improve further and become more efficient in the future.

4. How can generative AI help in video streaming?

Generative AI tools can analyze video content to create accurate transcripts and descriptions. This helps make videos easier to tag, index, and search.

They are also used for closed captioning and subtitling, which helps broadcasters reach a global audience. It also helps improve content accessibility as people who can’t listen to the audio can read the subtitles.

5. How can I get the most benefit from using AI for video streaming?

If you’re a broadcaster, you should use an advanced video streaming platform that has AI capabilities. This will help you realize the benefits of AI for video streaming, without requiring any technical skills or effort on your part.

This is especially true for large businesses that frequently share video content and use video streaming services. Instead of relying on free streaming platforms, using an advanced solution will deliver more benefits in the long run.

Ready to Leverage the Power of AI for Video Streaming?

Hopefully, you’re now convinced of the benefits of using AI in video streaming. After all, it can help you save a lot of time and money while providing a great experience to your viewers.

To get the most out of AI, choose one of the best video streaming providers that can cater to enterprise-grade streaming needs. Look for features like adaptive bitrate streaming, context-aware video encoding, great security features, and more.

Dacast is one solution that ticks all the boxes and is a no-brainer option for most enterprises. The best part is that you can try it out for free to see if it has what it takes and if it can meet your business needs. Try it for free and assess its user interface and features.

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Jon Whitehead

Jon is the Chief Operating Officer at Dacast. He has over 20 years of experience working in Digital Marketing with a specialty in AudioVisual and Live Streaming technology.