DATA SCIENCE SUMMIT 2026

The Data Science Summit originates from the Data Science Warsaw community, whose first meeting took place in 2014. The popularity of regular meetups led to the organization of the first edition of the conference, followed by subsequent events developed around the data area. Currently, DSS creates the largest community in Poland focused on data and organizes events aimed at knowledge and experience exchange related to data science, data engineering, and artificial intelligence.

Data Science Summit 2026 is the largest conference in the CEE region dedicated to data and AI. The event gathers over 2500 participants and includes more than 200 presentations conducted within 16 thematic tracks.

The conference is held in a hybrid format. On the first day, participants benefit from online presentations broadcast live and specially prepared VoD materials. On the second day, the event takes place in person at the PGE Narodowy in Warsaw. The conference is also accompanied by the Data Science Expo and activities enabling networking and direct experience exchange.

• Data Scientists.

• AI and ML Researchers.

• AI and ML Engineers.

• MLOps and DataOps Specialists.

• Cloud Engineers.

• Data Analysts.

• Big Data and Data Platforms Engineers.

• Business Intelligence Specialists.

• Managers responsible for IT, Data, and Compliance areas.

• CDOs, CTOs, and CIOs.

• Individuals involved in data analysis, processing, and visualization.

• Specialists interested in the practical application of artificial intelligence and modern data-related technologies.

• Developing knowledge about data science, artificial intelligence, data analysis, and processing.

• Learning about current technologies, tools, and trends related to data and AI.

• Enhancing competencies related to machine learning, deep learning, and generative AI.

• Understanding issues related to Data Strategy, Data Management, Analytics, and Business Intelligence.

• Developing knowledge about DataOps, MLOps, Big Data, and building and maintaining data-driven solutions.

• Exploring business opportunities for utilizing data and artificial intelligence in organizations.

• Enhancing knowledge about ethics, regulations, and responsible use of AI.

• Exchanging experiences with experts, practitioners, and representatives of the data community.

Benefits for Organizations

• Development of employee competencies in the broad area of data and artificial intelligence.

• Access to knowledge about current technologies, tools, and practical applications of AI and data analysis.

• Learning from the experiences of specialists involved in the development, implementation, and maintenance of data-driven solutions.

• Enhancing knowledge about data strategy, data management, analytics, and business transformation utilizing AI.

• Understanding issues related to DataOps, MLOps, Big Data, Business Intelligence, and cloud solutions.

• Access to recordings of presentations according to the selected package.

Benefits for Participants

• Access to over 200 presentations within 16 thematic tracks.

• Opportunity to participate in online presentations broadcast live.

• Access to specially prepared presentations in VoD format.

• Participation in the in-person part of the conference according to the selected package.

• Opportunity to ask questions during online presentations via chat.

• Opportunity for direct conversations with speakers during round table sessions in the in-person part.

• Access to the library of recordings from the previous edition of the event.

• Ability to use conference recordings after the event according to the terms of the selected package.

• Networking with participants and experts through the Matchmaking feature.

• Personalized certificate confirming participation in the event.

Machine Learning and Artificial Intelligence

• Machine Learning and Deep Learning.

• Generative AI.

• Large Language Models.

• Predictive Analytics.

• Practical applications of artificial intelligence.

• Business transformation utilizing AI.

Data and Analytics

• Data Science.

• Analytics.

• Business Intelligence.

• Big Data.

• Data analysis, processing, and visualization.

Data Strategy and Data Management

• Strategic use of data in organizations.

• Data management.

• Organization and development of data-driven environments.

• Business opportunities arising from data utilization.

DataOps, MLOps, and Technological Solutions

• DataOps.

• MLOps.

• Implementing and maintaining solutions utilizing data and artificial intelligence.

• Python and technologies used in data work.

• Cloud solutions related to data and AI.

AI Ethics and AI Regulations

• Ethical aspects of using artificial intelligence.

• Regulations regarding AI.

• Responsible design and use of artificial intelligence-based solutions.

Online and VoD Formats

• Presentations broadcast live online.

• Discussions and the ability to ask questions to speakers via chat.

• Specially prepared presentations available in VoD format.

• Access to the library of recordings from the previous edition of the event.

In-Person Part

• Presentations conducted in front of a live audience.

• Round tables organized after presentations.

• Direct discussions and the ability to ask questions to speakers.

• Data Science Expo dedicated to industry products and services.

Networking

• Online and in-person networking.

• Matchmaking enabling contact establishment, message exchange, and meeting scheduling.

• Meetings with experts, company representatives, and other members of the data community.

• Preparty and Afterparty for participants of relevant packages.

2 days, November 26–27, 2026. The first day is held online, while the second day takes place in person at the PGE Narodowy in Warsaw.

• Access to the online part of the conference according to the selected package.

• Participation in the in-person part at the PGE Narodowy according to the selected package.

• Access to live broadcast presentations.

• Access to specially prepared VoD presentations.

• Access to the library of recordings from the previous edition of the conference.

• Access to recordings of presentations after the conference according to the terms of the selected package.

• Participation in round table sessions and the ability to have direct conversations with speakers during the in-person part.

• Access to the Data Science Expo.

• Access to networking and Matchmaking features according to the terms of the selected package.

• Personalized certificate confirming participation in the conference.