There is still very little data sharing going on in today’s insurance industry. Obstacles to this include strict and often unclear regulations, reluctance to share data or the difficulty involved in calculating the value of data in advance. Gaia-X offers insurance providers enormous potential. I will explain what that potential is in my blog post.

AI will have a significant impact on the future. It is important here to also take a look at the ethical aspects of artificial intelligence. In my blog post, I will explain exactly what issues AI ethics deals with and what different measures can be taken to create an ethically correct AI application.

Data visualisation is only one aspect of interpreting data. However, looking at a representation inevitably leads to a specific interpretation, and this can be problematic. Therefore, in the second part of my blog post, I will give you various examples of how visualisations ‘covertly’ convey their intended message.

True to the saying ‘don't trust any statistics you haven’t falsified yourself’, the way in which you present the exact same set of data can elicit completely different interpretations. So in the first part of my blog post, I’m going to show you how the presentation of a graph that visually represents data can impact perception.