The inaugural meeting of the Student Research Group “Data Science” in the academic year 2024/2025 was held at the Poznań University of Economics and Business. During the meeting, the planned activities of the SRG Data Science and proposals for areas of activity in the coming months were discussed. Additionally, employees of our Department presented the opportunities and challenges related to data analysis in various areas.
Tag: machine learning
“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.
The highest score for the OpenFact project
The OpenFact project is run by the team of our Department in cooperation with technological and substantive partners, including: Google, Facebook, Bright Data, Harvard University, as well as leading fact-checking organizations in Poland. During the evaluation of the first phase of the INFOSTRATEG program of the National Center for Research and Development, in the field of fake news detection using artificial intelligence, the OpenFact project received the highest number of … Read More
PUEB Entrepreneurship Days
On December 2-3, 2020 as part of the 2nd edition of the PUEB Entrepreneurship Days, members of the Department of Information Systems, MSc. Piotr Kałużny and Dr. Włodzimierz Lewoniewski, gave lectures on contemporary challenges of innovative economy, the possibility of using open data and Data Science in the development of entrepreneurship.
Researchers’ Night 2020
Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm
The scientific article of the team of the Department of Information Systems has been published in the BISE journal. The journal’s Impact Factor for 2019 was 5.837 and the five-year impact factor was 7.361. Authors of the work: Dominik Filipiak, Krzysztof Węcel, Milena Stróżyna, Michał Michalak, Witold Abramowicz.