In this tutorial, you will speed-date with board and card games that can be used to teach Data Science. You will play one game for 15 minutes, reflect on the Data Science concepts it involves, and then rotate to the next table.

As a result, you will experience multiple ideas that you can use to make complex ideas more understandable and enjoyable. We would like to demonstrate how gamification can not only used to produce short puzzles and quizzes, but also as a tool to reason complex problem-solving strategies.

We will bring a set of carefully selected games that have been proven effective in teaching statistics, programming, machine learning and other Data Science skills. We also believe that it is probably fun to participate in this tutorial.

Defining what constitutes AI skills has always been ambiguous. As AI adoption accelerates across industries and the European AI Act mandates companies to ensure AI literacy among their staff, organizations face growing even more challenges in defining and developing AI competencies. In this talk, we'll present a comprehensive framework developed by the appliedAI Institute's experts that categorizes AI skills across technical, regulatory, strategic, and innovation domains. We'll also share initial data on current AI skills levels and upskilling needs and provide practical strategies for organizations to assess, develop, and acquire the AI capabilities required for their specific needs.