Deep Learning falls under the category of Artificial Intelligence and also plays an important role in automation, as well as in the field of Big Data and Smart Data. It describes a method by which computers can learn from large amounts of data, recognise patterns, and make decisions based on them – almost like our human brain does through experience.
What's special about deep learning is that it uses so-called artificial neural networks. These networks consist of many interconnected „nodes“ that process information. This allows a system, for example, to distinguish images, understand speech, or analyse complex texts.
A vivid example: In automation, deep learning helps self-driving cars to recognise traffic signs, pedestrians and other vehicles, and to react to them correctly. The vehicle is shown millions of images, thereby learning to navigate safely on the road.
Through the use of deep learning, numerous processes become faster, more accurate, and often more efficient. Companies can optimally utilise large treasure troves of data, develop intelligent assistants, or automate production processes. Deep learning is, in this regard, a key to innovation in the digital world.
Deutsch 
English (UK)