Artificial intelligence (AI) is one of the big topics of the future, and the benefits and risks of the technology are currently being hotly debated. But the term AI, also better known as Artificial Intelligence (KI), is defined very broadly – from more classic but intelligent algorithms to statistical methods and self-learning systems, for example, based on artificial neural networks; So automation.
Like AI, algorithms are becoming increasingly popular because they are currently used in almost every area of music production – from creating original drum loops to writing melodies and producing entire songs and soundtracks that are becoming increasingly difficult to distinguish from human musicians.
On the other hand, automation is often used in the mixing process when it comes to adjusting the volume of a track. For example, an instrument can be placed in the foreground for a moment and then fade out again. It is also possible to add automation to the compression of a piece of music.
Conclusion
AI, automation, and algorithms are big and important topics of the future. With the help of these, we pave the way for the new world of work – in the future, intelligent machines will take on more and more monotonous or repetitive tasks. This leaves us, humans, more time for the overriding topics. But although the terms are currently hotly debated, many people mistakenly confuse them. Because contrary to the general understanding, not all tools and solutions that appear “intelligent” are AI. To use the technologies even more profitably in the future, it is important to know the differences between AI, automation, and algorithms. It knows exactly which type of technology is best suited for your project. Because not everywhere where AI is on it,
