Give a speech during the Machine Learning edition of the most important Data Science event in Poland
21-22 June 2022 Warsaw + online
November 2022 Warsaw + online
Main conference with nearly 20 tracks
21-22 June 2022 Warsaw + online
The origins of the Data Science Summit date back to 2014, when the first Data Science Warsaw community meetup was held. The popularity of these cyclical meetups contributed to the the decision to organise the first edition of the conference, and its success to subsequent ones. Currently, DSS is the largest event dedicated to the field of data science in Poland.
DSS is the largest independent data science conference in the CEE region. It has been held every year since 2017, and the last edition attracted nearly 2,500 participants. The accompanying event is the Expo with stands from DS technology and solution providers and currently recruiting employers.
DSSML is a special edition of the Data Science Summit conference fully dedicated to artificial intelligence / machine learning. The first edition of the event was attended by more than 1000 specialists, managers, as well as people interested in the topic. The accompanying event, as during the DSS, is an industry Expo.
DSW is the largest data science community in Poland, based in Warsaw. It is an informal non-profit organisation promoting the exchange of 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 data collection, processing and visualisation of data, as well as machine learning and deep learning.
speeches
thematic paths
onsite, live stream online, VoD speeches
The final division into individual tracks will be determined after the Call for Papers, but it will be analogous to the division from the previous edition of the event:
The event is mainly aimed at professionals working in the field of machine learning in its broadest sense, as well as to developers and architects, management representatives dealing with the technical aspects of projects and people interested in data science.
Seniors and executives 
Regular / Mid
JuniorsIf you have an idea for an interesting topic and would like to appear as a Speaker at our event, please complete the form below.
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Opportunity to attend the entire event with the highest PRO package. 
A welcome gift bag with an official event t-shirt, among other things. 
Invitation to the afterparty with an open-bar. 
Specially designed Certificate of Appearance at DSSML22. Join the great experts who have spoken at DSSML so far:
If you have an idea for an interesting topic and would like to be a speaker at our event, please complete the form below. Submissions are accepted until 3 May 2022 (this deadline may be further extended).
Complete the form
For nearly 10 years Academic Partner Foundation not only organizes but also initiates many significant events addressed to IT / data science professionals and students. We are responsible for such events as: Warsaw IT Days, The Hack Summit, Ya!vaConf, IT Job Fairs and many IT meetups. We also help organize IT / data science conferences for large organizations. In case of any questions, please contact us .
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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