23.11.2023, online 24.11.2023, PGE Narodowy (Warszawa)
The origins of the Data Science Summit date back to 2014, when the first Data Science Warsaw community meeting was held. It was the popularity of these periodic meetups that contributed to the the decision to organize the first edition of the conference, and its success to subsequent editions. Currently, DSS is the largest event dedicated to the Data Science area in Poland.
DSSML is a special edition of the Data Science Summit with a theme fully dedicated to the Artificial Intelligence / Machine Learning area. The first edition of the event was attended by more than 1,000 professionals, managers, as well as people interested in this topic. The accompanying event, as with DSS, is an industry Expo.Poznaj DSSML
DSS is the largest independent data science conference in the Central and Eastern European region, i.e. concerning data analysis, processing and visualization in the broadest sense. It has been held annually since 2017, attracting an average of 2,000 participants at each edition. The accompanying event is an Expo with stands from DS technology and solution providers and current recruiting employers.
DSW is the largest data science community in Poland, based in Warsaw, Poland. It is an informal non-profit organization working to exchange ideas and knowledge about data science, data engineering and so-called artificial intelligence. The purpose of its existence is to discuss tools, technology and business opportunities related to collecting, processing and visualization of data, as well as machine learning and deep learning.Poznaj DSW
attendees in 2023
thematic tracks in 2023
job, service and product fairs
(online live, onsite live, VoD)
of the event (conference, workshops, Data Science Expo) will take place in the heart of Warsaw: inPGE Narodowy Conference Center, Ks. Józefa Poniatowskiego 1 Av. (entrance / entry through gate No. 1 from Zieleniecka Av., public underground parking available for a fee)
As part of the events we organized, we had the opportunity to work with many, significant organizations.
31.03 - 1.04 2023 Warsaw + online
The cult conference of the Warsaw IT / data science community combined with the IT Job ExchangeCheck
10-11 May 2023 Warsaw + online
Microsoft technology conference and Job FairsCheck
15-16 June 2023 Warszawa + online
Special edition of the DSS dedicated to machine learningCheck
October 2023 PW / UW / WAT
Onsite IT Job Fairs at Warsaw universitiesCheck
19-20 October Warsaw & online
Conference and expo dedicated to the area of IT securityCheck
17 November 2023 Online
IT Job Fair for professionals and studentsCheck
December 2023 Warsaw + online
Conference and Job Fairs on Java technologyCheck
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Od blisko 11 lat jesteśmy nie tylko organizatorem, ale również inicjatorem wielu znaczących wydarzeń skierowanych do profesjonalistów i studentów z branży IT / data science. Poza Data Science Summit w naszym portfolio znajdziecie: Warszawskie Dni Informatyki, The Hack Summit, Ya!vaConf, Targi Pracy IT oraz wiele meetupów. Pomagamy również organizować konferencje IT i data science firmom / organizacjom zainteresowanym tego typu działaniami. W przypadku, pytań zapraszamy do kontaktu .
Data Science Warsaw is the largest community of data scientists in Poland, based in Warsaw. We are a non-profit professional organisation dedicated to the free and open dissemination of data science, data engineering, and artificial intelligence. Our goal is to discuss tools, technologies and business opportunities related to the areas of data gathering, processing, visualization, as well as machine learning and deep learning.
The Faculty of Mathematics and Information Sciences of Warsaw University of Technology can be proud of its high scientific standing (category A) and high level of education (distinction in the field of Mathematics and positive assessment in the field of Computer Science by the State Accreditation Committee), involvement of research and teaching staff in publication activities and carrying out large IT projects, including projects completed with implementation.
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