15-16 Feb 2026 | The training provided knowledge and practical approaches to create modern analytical processes that are not “one-time analyses”, but work as a sustainable and repeatable cycle – preparing the data, validating, training models, comparing results, visualizing and formatting a report, and then the process is performed again according to the same rules for new data. The focus was on how AI models support the management of the entire flow: they automate some of the checks, help in choosing a modeling approach, offer segmentation options, and facilitate the interpretation of results. The participants are master’s and doctoral students in the field of computer science and information technology, as well as IT professionals and data analysts who want to build an end-to-end analytical process – from data to report – with clear steps, rules and controls, so that the results are comparable, reproducible and applicable in a real-world environment.