Generative Adversarial Networks (GANs) belong to the artificial intelligence category and also play an important role in big data and digital transformation. GANs are a special technology in the field of artificial intelligence that enables computers to create new content independently. The special thing about GANs is that two artificial intelligences work against each other: One AI tries to generate data that is as realistic as possible - for example images, music or even text - while the other AI tries to distinguish real data from artificial data.
This "betting game" leads to the generated results becoming better and more natural. A simple example: GANs can be used to create realistic photos of people who do not even exist. This technique is used, for example, to generate photorealistic product images for online shops before the actual product has even been built.
Thanks to generative adversarial networks, processes can be automated, costs saved and new digital possibilities opened up - from image creation and music production to artificial voices. For companies, this technology offers new opportunities to test innovations more quickly or develop customised solutions.