In recent months, terms such as machine learning and artificial intelligence have become increasingly common. They are shrouded in a sometimes almost magical aura thanks to the amazing advances in big language models and image generators. But intelligent systems have been moving the world for much longer, for example in areas such as robotics, automotive, healthcare, agriculture and content recommendation. As a result, the average person comes into contact with AI on a daily basis, almost unnoticed. At the AI Club joint sessions, you will open up this world, learn more about it, and there will be space to discuss and answer your questions on this topic.
Language: English
What can you expect?
In our previous meetings, we focused on an introduction to AI, specific techniques, and tools such as Cursor. This time, we are returning to what matters most — the data.
We will explore why the quality and structure of data determine whether an AI project makes sense at all. Using a real-world case study (data analysis for RV Magnetics), we will look at the condition data is typically in, what can — and cannot — be inferred from it, and why it is sometimes not suitable for AI applications.
In the practical part, we will try out basic tools for data analysis and show how to quickly gain an overview of a dataset, identify potential issues, and decide whether it makes sense to further develop an AI project — or what first needs to be improved in the data.
The seminar is intended for anyone who wants to better understand what working with data involves before deploying AI, without the need for advanced programming knowledge.
What do you need to bring?
- Your own laptop
Date
📅 April 28th 2026, 14:30-16:00
📍 FZU CAS, Slovanka – A. Kochanovská Hall (atrium side)
📝 Registration: https://rezervace.fzu.cz/exkurze.offer/view-115/
