Julian Mehne

Machine learning solutions are finding their way into more and more new areas of application - especially in industry. The first approaches are now being quickly tested and Proof-of-concept models developed. But how can these models be used productively?

From automated image processing to text analysis: artificial intelligence can now be used productively in a wide range of applications. Thanks to the widespread use of cloud computing, this is easier than ever before.

You can find an overview of the strategies and best practices in the context of predictive maintenance in the first part of our blog series "Best practices in the implementation of predictive maintenance - a field report". The next step is to think about where exactly artificial intelligence can be used and which machine learning methods can provide useful support here.

Artificial intelligence has enjoyed one success after another in recent years: