Explainable AI (xAI) is a hot topic today. We have seen a boom in AI, because deep learning methods made a huge difference in many cases. There are also many more use cases of AI compared to times before Deep Learning was introduced. The problem that we face now is that many methods work and we believe that whatever is done under the hoods, we don’t elaborate about the details. The reality is that it's very important to understand the way the prediction is done and not only understand the architecture of the method. There are many scenarios where xAI is very useful. During the talk we explain the xAI methods with a focus on medtech, fintech cases
