To Data or Not to Data.
The question is not anymore whether we can solve the problem with AI but to what extent it returns sustainable and reliable results. Good craftsmanship, governance, ethics, and education on AI are what we need now.
Since I was a kid, I have always been intrigued and interested in new technology and today we live in a world where smart and connected devices have become a part of our daily lives. When you have a background in engineering or another technical background this might be the greatest time to be around. However, there is a catch to the new and smart technology and it becomes slowly but surely more visible; a device where all physical parts are working perfectly fine can become a brick due to a missing internet connection or a wrong software update. One key part is that the logic is not necessarily hard coded anymore on the device itself but is a model that is externally stored and loaded. The new logic is becoming data-driven and critical in the transition towards smarter devices as it should better interact with our personal preferences. In this blog I will discuss that not all solutions require data and data does not need to be incorporated into all solutions but there are solutions where we do need data.
