Why do we use AI?
The great advantage of AI is that although it can mimic human thinking, it is not human. It doesn’t tire or become distracted, which is why AI shines in applications that require repetitive tasks, such as observing the results of multiple tests with large data sets.
The computing power of the machines is also of great value. They can process large amounts of information faster than the human brain. This allows the AI to view large amounts of video faster than humans — and as a result, the AI can observe and make relevant decisions faster than ever before.
The videoflowHow does it help?
AI is the ideal solution for optimizing video streaming workflows. This will be a huge boon for the video streaming industry, from broadcast to enterprise, as one of the main results of this optimization is cost savings.
One of the important ways AI does this is by calculating bit rates to optimize bandwidth utilization while maintaining an appropriate level of quality. This is something that simply cannot be done manually. There is too much information to process before network conditions (constantly changing) change again.
The video streaming world is also looking for something called “content-aware coding,” in which AI can understand what kind of content is being streamed and optimize bitrates, latency and protocols accordingly, whether it’s a fast-moving game or a more static “talking portrait” monologue.
Artificial intelligence is used in both real-time and VOD streaming workflows, and significant savings have been made for video streaming by optimizing bandwidth usage.