You've probably heard about "splitting" user stories, but often the idea is mentioned without any real concrete idea of what it involves. In this talk we are going to look at why splitting user stories is valuable, some theory about how to do it, and then look at some real world examples of splitting users stories and how AI may change the value proposition.

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Genetic algorithms find solutions by "evolving" a solution from less fit to more fit versions. In this session, we'll look at the basics of genetic algorithms, what types of problems lend themselves to this approach, and then demonstrate a genetic algorithm to create art and then look at examples of using AI to optmize the algorithm. We will spend just a few minutes looking at code, but the talk is aimed at explaining the concepts of both genetic algorithms and AI optimization in a way that should be useful for both developers and non-developers.

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