AI Recommendation Engines are powerful and common uses of AI. They are able to learn from all customer data and work out accurately what products particular customers may be interested in based on the behaviour and demographic of other customers. How a real AI Recommendation Engine/ Recommendation System (Recsys) works is different to how you might think - if you're used to traditional software techniques. It uses some sophisticated maths that are actually interesting, using three dimensional mappings as opposed to tonnes of database calls and bog standard code. Here I discuss how it all works.
Smart Cities use a variety of sensors such as cameras and movement/pressure monitors dotted around towns, cities and infrastructure in order to gather vast amounts of data about the entities operating in that space, e.g. People and Traffic. The goal is to improve efficiency.
Communicating the benefits of AI to non-tech end users
After some interesting feedback from the girls and boys at www.ukbusinessforums.co.uk it's become apparent that communicating AI to the people who will benefit from it might not be as straightforward as first thought.
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