You're correct, it was mainly OCR, but we categorize this as machine learning. Partly because we use public machine learning algorithms to do it, but also becau

You're correct, it was mainly OCR, but we categorize this as machine learning. Partly because we use public machine learning algorithms to do it, but also because we're planning to do a lot with OCR coupled with other data sets and a range of IOT initiatives. Things like predicting where we'll need to water trees, prioritize areas for snow shoveling or schools for renovation, how to control traffic flows and a range of other things. We are doing some more traditional stuff in BI, but a lot of it is relatively secret, in the very early stages or even getting shut down because legislation in the area is changing rapidly. We tracked citizen movement in our inner city based on wifi from smartphones for instance. Then we compared the data with various attempts at directing crowd flows. With a decent success rate, much higher than before we started using machine learning to score the results. We've killed the project though, because the new EU privacy protection acts makes that sort of wifi tracking illegal.