Video streaming plays an important piece in the modern zeitgeist, acting as both a source of fascination and transformative technology for what audiences now enjoy. It's also a system filled with challenges, requiring immense regulation to keep streamers and audiences safe. This requires constant input from a range of interlocking parts, where a failure at any point can result in a poor experience, upset, and even bans.
Aside from legal regulation, the software side of streaming regulation contains three primary and interlinked components, artificial intelligence, machine learning, and natural language processing. Each of these systems works in parallel to manage the streaming experience, and without even one of these, the streaming environment would be a much different and more limited place.
Artificial intelligence is a broad term given to any software that can mimic some aspects of human behavior as it works towards a goal. Rather than the advanced systems witnessed in science fiction, AI in real life is much less outwardly impressive but just as important. With AI, computers can accomplish in hours and minutes what would take humans days or months. When it comes to real-time reactions, the speed of computing systems means humans can never compete. It's this basis that sets the stage for machine learning, NLP, and many of the other parts of video streaming.
"Machine Learning & Artificial Intelligen" (CC BY 2.0) by mikemacmarketing
According to Microsoft, machine learning is an application of AI that allows computer systems to learn without direct human instructions. Using flexible mathematic models allows a computer to keep improving, narrowing down what works and discarding what doesn't. In video streaming, machine learning is one of the methods in which software can monitor both players and video streams for signs of irregularities such as ban evading or negative behavior.
NLP refers to a branch of AI revolving around understanding speech and text as a human can. IBM explains this as a process involving deep learning models, machine learning, and an understanding of how human speech evolves. In streaming, NLP works again to monitor both sides of the equation, so streamers and viewers keep discussions from breaking rules and ruining the experience.
A popular form of streaming on the cutting edge of modern technology is found in online casinos. PlayStar Casino is a modern service that utilizes similarly advanced systems with its range of live casino titles like blackjack, roulette, and baccarat. Here, streaming relies on the latest technology to ensure a positive experience for both hosts and users. This is accomplished with speed far beyond what humans alone could manage, and with far less overhead, so implementation into streaming is simply good business.
"Twitch service video streaming play them" (CC BY 2.0) by wuestenigel
This same concept applies to every type of online streaming, such as Twitch and YouTube. Each of these platforms has grown so large over the years that it's impossible to monitor and regulate through human assistants alone, so technological solutions have to be implemented. These commonly include systems informed by AI, NLP, and machine learning, where these advanced types of integration are only going to become more common over time.
As we go further in the 2030s, and streaming continues to grow, so will the technologies supporting video streams need to evolve and expand. At this point, the foundations are there, it's just a matter of keeping up with the pace. If the past is any indication, the drive is there, so a future of better and safer streaming looks all but guaranteed.