An open lecture titled “BaseModel: introduction to behavioral modeling” took place at the Poznań University of Economics and Business. The lecture was led by Ksawery Smoczyński, Machine Learning Engineer at Synerise BaseModel. It is worth mentioning that Ksawery is a graduate of the Poznań University of Economics and Business and one of the founders of SRG Data Science.
Behavioral modeling – challenges and opportunities
Data Science at Allegro
An open lecture entitled “Building a Career in Data Science: Advice from the Allegro Team” was held at the Poznań University of Economics and Business, led by Dr. Piotr Kałużny and Anna Cielas. The lecture focused on the practical aspects of working as a Data Scientist in one of the largest purchasing platforms in Central and Eastern Europe.
Workshops on fake news during the Poznań Science and Art Festival
PUEB Open Doors 2024
The PUEB Open Doors 2024 took place in the Main Building of our University. During this event, candidates had the opportunity to talk to current students and lecturers about the courses offered at the Poznań University of Economics and Business. The Institute of Informatics and Quantitative Economics was represented by various departments, including members of our team: Dr. Włodzimierz Lewoniewski, Oskar Riewe-Perła, Aleksandra Wojewoda.
Two third awards of our students in the Eurostat competition “The Web Intelligence – Deduplication Challenge”
Students of our specialization in Informatics and Econometrics – Mikołaj Tym and Jakub Żerebecki (2nd degree, 1st year, speciality: Information Systems for Business and Administration) – took part in the competition “The Web Intelligence – Deduplication Challenge” organized by Eurostat between December 2022 and April 2023 year. The task performed concerned the field of Data Science and natural language processing.
The most cited scientific information sources in Wikipedia articles across various languages
The latest issue of the journal “Biblioteka” published an article on the analysis of citations to scientific works in Wikipedia. The analysis covered 332 million references in 61 million Wikipedia articles in 309 language versions. In order to standardize the metadata of important sources of information on multilingual Wikipedia, data from the OpenAlex, an open catalog of authors and scientific publications, were additionally used. The results of scientific research were … Read More
Preslav Nakov visits the PUEB
On February 27, 2024, Prof. Preslav Nakov from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) visited the Department of Information Systems at the Poznań University of Economics and Business. During the meeting, the next stages of cooperation in the field of fake news detection using artificial intelligence were discussed.
Automatic quality assessment of articles in multilingual Wikipedia and identification of its important information sources on various topics
An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, Dr. Włodzimierz Lewoniewski discussed the methods and tools used to analyze and evaluate content in a popular multilingual encyclopedia and ways of identifying and assessing … Read More
Data analysis and visualization using Business Intelligence tools
In today’s rapidly changing data-driven economy, understanding modern analytical tools and the ability to adapt to innovative technologies such as GenAI is crucial to developing competitive competencies, achieving market advantage and providing important decision-making information across industries. The open lecture led by Ihor Muzyka, Head of Analytics at the Żabka Group, was an opportunity to learn more about how the choice of role and position affects the development of a … Read More
“So you’ve created an ML model, but what next?” MLOps in a nutshell
Professional practice shows that the work of a person dealing with machine learning (ML) does not end with creating a model. So what else needs to be done and what is “Ops” all about? These and many other questions were answered during an open meeting by Jacek Jankowiak, one of the founders of the SRG Data Science, currently working as a Data Science and Engineering Consultant.