Share your knowledge and experience in the *data* area with thousands of Data Science Summit attendees
Meet the Data Science Summit
The origins of Data Science Summit date back to 2014, when the first Data Science Warsaw community meetup was held. It was the popularity of these periodic meetups that contributed to the decision to organize the first edition of the conference, and its success to subsequent ones. Today, DSS is the largest community in Poland centered around the Data Science and AI area.
10+
editions
3
formats
200+
speeches
15+
tracks
2500+
participants
4,91
avg. speech rate
Events organized under the initiative
The main edition of Data Science Summit is the largest independent data science conference in the CEE region. The topics of the event are very broad and cover the entire data area: from ML / AI, through analysis and processing (including Big Data), implementation issues, to visualization (BI) and management topics. It brings together 3,500+ people from the community every year. A companion event is the industry Data Science Expo, where you can meet product and service providers, as well as current recruiting employers.
Thursday, 26.11.2026, Online
Friday, 27.11.2026, Warsaw
DSS AI Edition is a special edition of DSS with a theme fully dedicated to Artificial Intelligence. Since 2021, it has brought together 1500+ professionals, managers, and others interested in this field every year. The accompanying event, like the main DSS edition, is the industry Data Science Expo.
Thursday, 18.06.2026, Online
Friday, 19.06.2026, Warsaw
DevAI by Data Science Summit is an event dedicated to software developers who want to stay up to date with trends and implement modern AI-based solutions. It is a unique conference for developers, supported by the largest Polish data community, centered around Data Science Summit for years. The accompanying event is DevAI Expo - a trade show for jobs, products, and services related to the conference theme.
Monday, 19.10.2026, Online
Tuesday, 20.10.2026, Warsaw
DSW is the largest data science community in Poland, based in Warsaw. It is an informal non-profit organization focused on exchanging ideas and knowledge about data science, data engineering, and artificial intelligence. Its purpose is to discuss tools, technology, and business opportunities related to data collection, processing, and visualization, as well as machine learning and deep learning.
What can you expect?
6 years
of the project being held continuously
1500+ participants
in the previous edition
3 formats
PKiN, Warsaw / Online Live / VoD
Data Science Expo
job fair and exhibition of IT & Data Science products and services
150+ talks
divided into 15+ thematic tracks
100+ organizations & communities
involved in the project
Who is the event aimed at?
Data Scientists
AI / ML Researchers
AI / ML Engineers
MLOps / DataOps
Cloud Engineers
Data Analysts
Big Data / Data Platforms Engineers
Business Intelligence Specialists
Managers in IT / Data / Compliance areas
CDO, CTO, CIO
...and anyone else working in the areas of data analysis, processing and visualization
Conference attendee profile
Managers and senior specialists
(80%) 
Specialists
(15%) 
Juniors
(5%)
Proposed thematic tracks
Data Engineering & MLOps
- Big Data, Data Platforms & Real-Time Processing
Data warehouses, database systems integration, stream processing, and DataOps.
- Cloud Platforms & Edge Computing
Model scalability in cloud architectures (AWS, Azure, GCP) and inference on target devices (On-device AI / SLMs).
- MLOps & Model Deployment
Production architectures for AI systems, continuous concept drift monitoring, and model lifecycle management.
- Programming, Optimization & Quantum Computing
Advanced development tools (Python, R, Scala) and computational performance optimization.
Algorithmic Foundations & Predictive Analytics
- Generative AI, NLP & Large Language Models
LLM architectures, Retrieval-Augmented Generation (RAG) systems, and hallucination mitigation techniques.
- Computer Vision & Multimodal Models
Image analysis, convolutional neural networks, and automated pattern detection.
- Predictive & Prescriptive Modeling
Time series, survival analysis, and the transition from purely correlational modeling toward causal inference.
- Autonomy & AI Agents
Reinforcement Learning, autonomous systems, and Agentic AI.
AI Business Transformation, Strategy & Governance
- AI Business Transformation & Process Redesign
Scaling AI projects from Proof of Concept to production deployment. Business model redesign, operational process optimization, transaction cost analysis of AI adoption, and evaluation metrics (ROI/TCO) for machine learning investments.
- Data Leadership, Team Architecture & HR
Structuring analytical competencies within organizations. Managing multidisciplinary Data Science teams, project lifecycle management (agile in analytics), employee reskilling/upskilling strategies, the role of AI Champions, and change management.
- Data Strategy & Business Data Governance
Treating data as a business asset (Data as a Product). Building organizational data maturity, democratizing data access (Data Mesh/Data Fabric from a management perspective), Master Data Management (MDM), and maintaining data quality for ML models.
- AI Compliance, Risk & Security
Operationalizing regulatory requirements in commercial environments. Implementing model auditability standards and the AI Act from a business continuity and risk management perspective.
Applied Data Science, Visualization, Analytics & Domain Implementations
- Data Science in Healthcare & MedTech
Rigorous applications of analytics in medicine.
- Earth Observation, Spatial Analysis & Geomarketing
Modeling spatial and sensor-based (IoT) data.
- Market Research
- Business Intelligence & Advanced Visualization
Advanced executive reporting, model interpretability (XAI), and decision-support visualization.
- Data Science in Security & AML
Security of analytical ecosystems, anomaly detection, and fraud prevention in the financial sector. The role of AI in AML, fraud detection, and cybersecurity for business processes.
- Data Science in Finance
What speeches and in what form can you expect?
Online:
Live Online Presentation [35 minutes] - a presentation delivered live online and streamed to attendees.
Tutorials [2 hours] - a practical, interactive online session.VoD:
VoD - a lecture delivered before the conference, in the form of a pre-prepared recording and published on the day of the conference.Onsite - PGE Narodowy, Warsaw:
On-site Presentation [35 minutes] - a live presentation delivered in person.
Panel Discussion [35 minutes] - participation in a moderated expert discussion.
Fireside Chat [35 minutes] - a one-on-one interview.
Roundtable [35 minutes] - an open, moderated discussion with conference participants.We are particularly interested in the following types of submissions:
- Practical case studies showcasing real project experience and insights that are difficult to find in guides or documentation
- Advanced level speeches (deep dives; levels: 300 & 400)
- Trend speeches
Why is it worth becoming a speaker at our conference
- You will be able to present the results of your work / research / interesting case studies / ... - hundreds people from the entire IT and Data Science community.
- You will gain experience as a speaker at a large conference / confirm your position as a major expert in your area.
- Networking - you will meet a lot of interesting people
- Other people in the industry working in the same field
- Other speakers during stationary speeches and workshops,
- Representatives / experts / managers from organisations that are Sponsors and Partners of our event - leading IT companies
- Conference participants
- You will have the opportunity to discuss your challenges / experiences / insights with other experienced people
- You will develop your skills substantively - by participating in the conference for free - listening to other speeches.
In addition, each speaker receives:
- Possibility to attend the entire event online and onsite.
- A welcome giftbag with an official event T-shirt.
- Invitation to the afterparty with a welcome drink for Speakers.
- Certificate certifying presentation at the conference.
Meet speakers of 2025
At the event you will meet and listen to the best specialists from Poland and abroad.
Malgorzata Hadasz
Data ScientistOLX Group
Kamil Raczycki
Senior Data Scientistdataplace.ai
Daniel Taube
Senior Data ScientistMicrosoft
Wojciech Stasiuk
Data ScientistNestle
Paweł Gołąb
FounderMillion Monkeys Software | Bielik Consulting
Domagoj Marić
AI Customer Delivery ManagerPontis Technology
Paulina Tomaszewska
Szymon Karpęcki
Data Platform EngineerElitmind
Marcell Ignéczi
Founder and CEOCOMPUTD BV
Łukasz Jakubowski
Data ScientistAmazon Web Services
Jakub Niedziela
Data ScientistRingier Axel Springer Polska
Michał Chodorek
Programme Council 2025
PhD student Paulina Tomaszewska
Warsaw University of Technology
Ewa Nowakowska
AI Data Science LeaderPartner at EY
Piotr Mechliński
Head of AI & Data
Magdalena Kurlanc
BI Lead Consultant | AI Interlocutor | Data Analyst | Tableau/ SQL / Python TrainerLingaro
Łukasz Bolikowski
Vice President, Data ScienceBoston Consulting Group (BCG)
Eliza Bujnowska
Analytics & Data Science Directordentsu Polska
Dominik Batorski
Community LeaderData Science Warsaw
Michał Żyliński
Customer Engineer - TelcoGoogle
Patryk Grzybowski
Data ScientistCloudFerro S.A.
Paweł Manowiecki
Senior Solution ArchitectSnowflake
Michał Bijata
CEOAcademic Partners
Konrad Cop
Technology LeadUnited Robots
Łukasz Czarnecki
Bartosz Borucki
CEOSmarter Diagnostics
Rafał Wojdan
Data & AI AdvisorOnex Group
Aniela Hejnowska
Member of The Supervisory BoardDiagnostyka
Tomasz Mostowski
Managing DirectorAccenture
Adrian Foltyn
Senior Manager Data Science & AnalyticsNestlé
Marcin Nadolny
Head of Fraud & Security Intelligence Solutions – EuropeSAS
Jędrzej Bieniasz
Network Security / Research Software EngineerPolitechnika Warszawska
Katarzyna Kamińska
Head of Cybersecurity Curriculum [BEng / MSc]Politechnika Warszawska
Olga Zabolewicz
Główny specjalista ds. legislacjiNASK
Przemysław Blicharski
Solution Manager Europe & NordicsInphinity
Adrian Chodkowski
Data Architect and AdvisorseeQuality
Mariusz Kujawski
Cloud Architect | Data Engineer
Paweł Moniewski
Senior Solution Architect CEEAmazon Web Services
Łukasz Dziekan
Director of Engineering, AIRelativity
Bartosz Wieciech
Senior Machine Learning Engineer, Technical LeadAmazon Web Services (AWS)
Jędrzej Bojanowski
Director of EO Data Science and ProductsCloudFerro S.A.
Jakub Nowacki
Software Engineer ManagerGoogle
Paweł Gruszecki
Event Organizers
Main organizer
Since 2005, we have been supporting the Polish IT / data science community in its development. We are not only the organizer, but also the initiator of many significant events aimed at industry professionals and students, such as Warsaw IT Days, Data Science Summit, The Hack Summit, Ya!vaConf, MS Tech Summit, Warsaw IT Days Expo and many meetups. We also help organize IT and data science conferences for companies / organizations interested in such activities.
