Today's monetary system makes the citizen a subject in monetary affairs. The subject must endure inflation. He has no claim on the quality of money.

It is often claimed that technological progress is a major driver of rising income inequality. The gap between rich and poor is increasing as a result. However, the interdependences are more diverse.

The quality of AI algorithms stands and falls with the quality and quantity of the available data. The topic of data should therefore be on the agenda of every financial market participant.

The dependency ratio measures the ratio of children and pensioners to the working-age population. In Germany, it has been rising since the 1990s. This is endangering our prosperity.

Now that the world has learned how well pattern recognition works through chat GPT, we ask how far pattern recognition through machine learning has advanced in financial markets.

Artificial intelligence is one of the buzzwords when innovations are discussed. The financial industry is no exception. But what's the fuss about algorithms and data?