Data Science

We live in the age of digitalization, with all its advantages but also its own problems. We passionately defend our opinions on social media, evaluate the vacation photos of our fellow human beings, and consume digital content via our trusted streaming service. In doing so, we leave a significant digital footprint in the form of data. It is estimated that humanity as a whole currently generates several zettabytes (that's a one with 21 zeros!) of data per year. Not every bit and every click is relevant, but based on the amount of our personal data collected, technological miracles can be performed, which at the same time raise questions:

• How does Google know what I want to search for?
• Why do more items end up in my Amazon shopping cart than I originally intended to buy?
• How can Spotify predict my music taste so accurately?
• Why does fake news often spread faster than the truth?
• How can you use deep learning to teach a computer to beat the world champion in Go?

A few years ago, "Big Data" was still on everyone's lips. The value of data was considered to be comparable to that of gold, and the initial hype triggered a veritable gold-digging frenzy in the technology industry.