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
Data analysis and visualization using Business Intelligence tools
“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.
Quantifying Americanization in different language versions of Wikipedia
Scientific article entitled “Quantifying Americanization: Coverage of American Topics in Different Wikipedias” was published in the Social Science Computer Review journal. The work is the first global, quantitative confirmation of issues often raised or assumed in the literature on Americanization and related phenomena.
The Impact of Crises on Maritime Traffic: A Case Study of the COVID-19 Pandemic and the War in Ukraine
The article by employees of our Department was published in the journal “Networks and Spatial Economics” by Springer. The work analyzes the impact of international crises, such as the COVID-19 pandemic and the war in Ukraine, on maritime traffic and their consequences for the global and local economy.
ACADEMIA: Information Quality on Wikipedia
The latest issue of the ACADEMIA magazine published an article on the automation of the content quality assessment process in multilingual Wikipedia. The work briefly presents the advantages and disadvantages of the open nature of this encyclopedia, differences in the quality assessment systems and distinctions for Wikipedia articles between language versions, and issues related to the assessment of the reliability of information sources.
Awards in the 28th PUEB Best Diploma Theses Competition
Scientific sources of information in Wikipedia articles across various topics and languages
The results of scientific research of employees of our Department were published in the journal “Procedia Computer Science” by Elsevier on the ScienceDirect website. As part of the work, hundreds of millions of references in Wikipedia articles from various language versions were analyzed to identify scientific sources of information. Additionally, Wikipedia articles have been divided into various topics using information from Wikipedia projects and based on semantic knowledge bases – … Read More
Workshops on generative artificial intelligence with experts from Microsoft and Żabka Group
From science to practice: identifying important sources of information on Wikipedia
Wikipedia, being a widely available source of information in the digital era, attaches great importance to the verifiability of its content, which is fundamental to its credibility and trust. The platform’s verifiability rules require that all information, especially controversial or controversial information, be supported by credible, published sources. This ensures that the content in Wikipedia articles is not based on personal opinion or original research. However, the subjective nature of … Read More
Conversation with Żabka Group experts about a career in data science
In today’s world, data science has become a key element driving innovation in almost every industry. In light of this dynamically developing area, a certain set of skills and knowledge is emerging as essential for those who want to shape the future with data. In addition to knowledge of programming languages and data analysis tools, it is equally important to understand and use advanced statistical methods and machine learning. During … Read More