Paula Gonzalez Avalos

AI is no longer just a technical tool. It is fundamentally rewriting how we approach every professional task and we are now seeing a shift that impacts every role in every industry.

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.

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.

The transition from a hands-on creative job to a leadership role isn't always smooth. The tasks you excelled at are now handled by your team, and your new title brings added responsibilities, numerous meetings, leaving little room for deep work.

Your data, your insights: 3 examples to illustrate how we can apply common data science libraries together with data shared via mobile apps or collected manually to build little data visualization projects that provide unique, contextual and intmiate insights.