Artificial Intelligence in Germany

Artificial intelligence is changing the world. There is no doubt about it. Self-learning algorithms are now being developed all over the world and an increasing number of economies are focusing on promoting AI development at a domestic level. Machine learning benefits mankind all over the world – individual countries profit from it. But what is the current status of artificial intelligence in Germany? Can German AI development compete on an international level? And what about state subsidies?

Types and Importance of AI Training Data

1997 was a pivotal year in the world of Artificial Intelligence (AI) as it was the first time a machine managed to defeat a world champion in chess. Deep Blue was an IBM Supercomputer and, after losing to Garry Kasparov 4-2 in 1996, had learned and improved and came back to defeat him in 1997 after a hard-fought battle.

Machine learning (ML) and AI use complicated algorithms to learn and process information. These algorithms mimic the human brain, and just like a human child learns, they can also be taught through data and experience.

Digital Market Research: Simply Getting Marketing Data from the Internet?

Digital market research promises a whole lot of data, thanks to which we can see inside the “consumer’s head”. But what is there really to digital market research? What are its methods, goals and challenges?

5 proven Sales Tips for POS

The point of sale (POS) is the place where customers are already fundamentally purchase inclined, which is the best possible starting position for the generation of revenue. But what’s true elsewhere is also a fact here: nothing just works on its own. How can POS sales be optimized? How can you motivate customers to spontaneous purchases? And how do you make regulars out of occasional customers? You pull some retail concepts out of mothballs and let yourself be inspired by established methods.

What are the benefits of artificial intelligence (AI) for the environment? – Seven astonishing insights

Will AI-driven cars save the roads from a total gridlock? Can artificial intelligence help live a more resource-efficient life? Will artificial intelligence make the supply of energy easy to achieve? We provide insight into seven AI and the environment questions.

Cognitive Computing – Hype or Progress?

First, there was artificial intelligence, then the terms machine learning and deep learning followed. And now there is cognitive computing. What’s so special about this new concept? Is it just a new buzzword from the IT scene that can be exploited for marketing purposes? Or is it a new approach that brings machines one step closer to human thinking?

Is Google Misogynistic?

Is Google misogynistic? The ranking for certain keywords certainly provides grounds for this suspicion. However, the phenomenon of unequal treatment isn’t really the fault of the algorithms but is a fundamental problem with the German language. And those who want to can ensure for themselves that the results list is free from discrimination.

How to generate backlinks and improve your ranking – 13 tips

In the early days of the internet, backlinks, along with keywords, were a foolproof strategy to rank high on Google. Decades later, many other factors have come into play. However, backlinks remain SEO-relevant. What are backlinks? How important are they for Google ranking today? And how can backlinks be generated? We’ve compiled the best methods.

Text classification – areas of application on the Internet

There are billions of websites with countless texts on the Internet. This makes it difficult to keep track of them. Text classification is a method that provides an overall view and structures the offer. Which application areas are there for text classifications in the World Wide Web?

Realistic training data for machine learning

Data are the foundation for training algorithms. The more realistic the data, the better the results. This is because artificial intelligence is based on precise and reliable information for training its algorithms. This is obvious but it is often overlooked. The training data are realistic when they reflect the data that the AI system gathers in real operation. Unrealistic data sets prevent machine learning and lead to expensive false interpretations.